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https://finance.yahoo.com/news/crowdai-unveils-platform-customized-computer-130000732.html
| 2021-04-08T00:00:00 |
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CrowdAI Unveils New Platform for Customized Computer Vision Models and Announces a Series A Round of Financing
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CrowdAI Unveils New Platform for Customized Computer Vision Models and Announces a Series A Round of Financing HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SHOPPING YAHOO PLUS MORE... Try it free Yahoo Finance Sign in Mail Sign in to view your mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Future ScreenerFuture Screener Index ScreenerIndex Screener Yahoo Finance Plus Yahoo Finance Plus DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas BlogBlog Markets Markets CryptocurrenciesCryptocurrencies CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Cryptocurrency NewsCryptocurrency News Morning BriefMorning Brief Aarthi SwaminathanAarthi Swaminathan Adam ShapiroAdam Shapiro Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexis ChristoforousAlexis Christoforous Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brian CheungBrian Cheung Brian SozziBrian Sozzi Daniel HowleyDaniel Howley Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan Wolff-MannEthan Wolff-Mann Ines FerréInes Ferré Javier E. DavidJavier E. David Jen RogersJen Rogers Jessica SmithJessica Smith Julia La RocheJulia La Roche Julie HymanJulie Hyman Kristin MyersKristin Myers Lisa ScherzerLisa Scherzer Lulu ChiangLulu Chiang Max ZahnMax Zahn Melody HahmMelody Hahm Michael KelleyMichael Kelley Myles UdlandMyles Udland Nishant MohanNishant Mohan Pras SubramanianPras Subramanian Reggie WadeReggie Wade Rick NewmanRick Newman Sam RoSam Ro Seana SmithSeana Smith Sheila BairSheila Bair Sibile MarcellusSibile Marcellus Zack GuzmanZack Guzman Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes RatesRates Broker CenterBroker Center Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers with Andy SerwerInfluencers with Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U A Time for ChangeA Time for Change Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Women and MoneyWomen and Money Industries Industries Basic MaterialsBasic Materials Communication ServicesCommunication Services Consumer CyclicalConsumer Cyclical Consumer DefensiveConsumer Defensive EnergyEnergy Financial ServicesFinancial Services HealthcareHealthcare IndustrialsIndustrials Real EstateReal Estate TechnologyTechnology UtilitiesUtilities Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Contact Us Contact Us MoreMore
U.S. markets open in 4 minutesS&P Futures4,081.25+11.25 (+0.28%) Dow Futures33,305.00-23.00 (-0.07%) Nasdaq Futures13,716.50+111.75 (+0.82%) Russell 2000 Futures2,233.00+13.80 (+0.62%) Crude Oil59.26-0.51 (-0.85%) Gold1,752.40+10.80 (+0.62%) Silver25.60+0.35 (+1.40%) EUR/USD1.1893+0.0020 (+0.17%) 10-Yr Bond1.6490-0.0040 (-0.24%) Vix16.55-1.57 (-8.66%) GBP/USD1.3762+0.0025 (+0.18%) USD/JPY109.1130-0.7170 (-0.65%) BTC-USD57,447.19+1,282.87 (+2.28%) CMC Crypto 2001,208.91-17.87 (-1.46%) FTSE 1006,911.37+26.05 (+0.38%) Nikkei 22529,708.98-21.81 (-0.07%) JUST IN:More Americans filed for weekly jobless claims than expected744,000 new claims filed, more than the expected 680,000 for week ended April 3PR NewswireCrowdAI Unveils New Platform for Customized Computer Vision Models and Announces a Series A Round of FinancingRead full articleApril 8, 2021, 9:00 AM·3 min readNew platform allows any user to build AI for images and videos without coding expertiseSAN FRANCISCO, April 8, 2021 /PRNewswire/ -- CrowdAI, the leading platform to build customized vision AI, today announced the launch of their next-generation AI platform, which enables anyone to create high-quality solutions to analyze imagery and video. CrowdAI also announced it has raised over $10 million to support the launch of its platform - most recently via a Series A led by Threshold Ventures. Other participating investors include Susa Ventures, Ron Conway's SV Angel, Jerry Yang at AME Cloud, and Y Combinator. With this round, Mohammad Islam, Partner at Threshold Ventures, joins the company's Board of Directors.CrowdAI provides custom computer vision solutions to customers in the manufacturing, property insurance, finance, and technology markets, and works extensively with the U.S. government. The company's initial platform focused on cutting the time-to-value for custom computer vision projects in half for developers and data scientists familiar with AI integrations and workflows.With CrowdAI's new platform, no data science background or coding is required to make data-driven operational decisions. The full-stack solution provides all the tools necessary to go from raw pixels to structured insights relevant to a user's specific needs. CrowdAI provides the support and strategy for determining if and how to implement an AI solution into the enterprise.CrowdAI has developed a powerful product that not only makes computer vision widely accessible, but also enables more intelligent automation in the enterprise," said Mo Islam, Partner, Threshold Ventures. "We were immediately impressed with Devaki and the team and are excited to support the company on its journey to becoming the leading visual AI platform."CrowdAI offers both a free, web-based version, as well as a subscription version with custom enterprise-based assets. The new platform allows anyone within an organization to tap into the benefits of intelligent automation. Technology advancements in the enterprise, including artificial intelligence and smart technology, have pushed the market forward over the last few years. Despite security and privacy concerns, artificial intelligence continues to prove to be a critical asset if implemented correctly and efficiently. CrowdAI has seen a 200% increase in its customer base in the past year, indicating a broader shift in the industrial and large commercial sectors towards more intelligent automation.Story continues"At CrowdAI, we work alongside managers, engineers, marketers, and data scientists at every level to learn how our tools and AI workflows can make an impact in their organization," said Devaki Raj, CEO and founder of CrowdAI. "Our goal is to empower the workforce to better understand how AI can help them do their job. I'm incredibly proud of the team for what we've built. With our new, next-generation platform, we're able to make vision AI approachable and intuitive to anyone in the enterprise."CrowdAI is currently being utilized by numerous organizations throughout the government, the education sector, and the technology industry. CrowdAI's vision is to lead the next industrial transformation with AI by empowering anyone to create and deploy custom AI solutions for maximizing value from visual data.About CrowdAICrowdAI, the leading platform to build customized vision AI, enables anyone to create high quality solutions to analyze imagery and video—no data science background or coding required. Our full-stack solution provides all the tools necessary to go from raw pixels to structured insights relevant to your specific needs. With CrowdAI, you can build your own vision AI bespoke to your specific needs, without writing a single line of code.Based in San Francisco, the company was founded in 2016 and is backed by leading Silicon Valley venture capital, including Threshold Ventures, Susa Ventures, and Y Combinator.Media Contact:Cliff [email protected](818) 208-4443CisionView original content:http://www.prnewswire.com/news-releases/crowdai-unveils-new-platform-for-customized-computer-vision-models-and-announces-a-series-a-round-of-financing-301264889.htmlSOURCE CrowdAITRENDING 1. Transportation Secretary Pete Buttigieg: Corporate America 'can do more to pay their fair share' in taxes 2. Canopy Growth to buy Supreme Cannabis for $256.85 million as pot demand lights up 3. US STOCKS-S&P 500, Nasdaq set to open higher on tech boost 4. UPDATE 1-Russia says it could be forced to protect its citizens in east Ukraine - TASS 5. UPDATE 1-U.S. Senate panel to consider major China competition bill on April 14 - source
Recommended StoriesBloombergBanks Turn India’s Hot-Money Move Into Lucrative Currency Trade(Bloomberg) -- The Reserve Bank of India’s attempt to flush out excess U.S. dollars from the nation’s markets has offered a unique arbitrage opportunity for some banks.Lenders are using a regulatory loophole to profit from trading in the currency forward markets, according to people with knowledge of the matter. A large bank could easily rack up exposures of more than $1 billion, multiple traders said, asking not to be identified as the deals aren’t public.The strategy revolves around a February regulation change that dropped exposure limits local banks have to other sovereign assets, such as U.S. Treasuries, which allowed them to take advantage of a spread in the dollar-rupee markets. The RBI’s extensive intervention had driven implied 12-month yields for the currency pair to the highest in more than four years.The biggest beneficiaries have been foreign banks in the nation, which have easy access to large dollar stockpiles, the people said. As the biggest buyer of the greenback in the forwards market, the RBI is effectively funding some of the trading profits.Here’s how it works. Banks would convert rupee deposits into dollars using a buy-sell swap -- buying the greenback now while selling the same amount at a specified date in the future. They use the proceeds to purchase Treasuries, under the newly-relaxed RBI rule. The return is in the arbitrage: they pay around 3.5% on local currency deposits, while earning 4.9% on the one-year forward premia.In discussions, the central bank had made it clear that the lenders should deploy dollars from their own stockpile and not use swaps to make investments under the newly relaxed rules, the people said. However, the written rules don’t define what constitutes the banks’ resources to be used for investments -- creating a loophole for the lenders to get more greenback through swaps.Since there are no longer any limits on how much these banks can invest abroad, there are -- at least from a regulatory perspective -- no caps on the exposures they can have.Relaxed RulesThe trades aren’t illegal and there’s no suggestion of wrongdoing. An email to an RBI spokesman on Tuesday afternoon was unanswered.When RBI Governor Shaktikanta Das made the rule change on banks exposure to foreign assets two months ago, the expectation was that it would drive the lenders to use their excess dollars to buy Treasuries, rather than flood the local market with the greenback.While the banks have done so, they are profiting from the currency markets. To be sure, the February rule-change and these trades have helped to lower the 12-month forward premia to 4.9% from 5.4%, trimming hedging costs for companies.The RBI had been mopping up capital inflows -- driven by a buoyant stock market and acquisitions -- to such an extent that its foreign-exchange reserves grew to be the world’s fourth-largest. The intervention done through the spot market and sterilized in forwards led to a surge in the 12-month rate.Read: India FX Reserves Cross Russia to Become World’s 4th BiggestAs a result, the central bank’s long-dollar books jumped to $47.4 billion at end-January from a negative $4.9 billion in March 2020.For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.1d agoBloombergFed Signals It’s Ready to Wield Power Over Short-Term Rates(Bloomberg) -- Federal Reserve Chairman Jerome Powell stands ready to pull some of the central bank’s policy levers in between regularly scheduled meetings, if that’s what it takes to keep short-term interest rates under control.He noted recent downward pressure on rates during the Federal Open Market Committee’s March 16-17 meeting, according to minutes released Wednesday, and said it might be appropriate adjust the interest on excess reserves rate (known as IOER), the amount the Fed pays on its facility for overnight reverse repurchase agreements or both. Action could come at a regular meeting or between them to keep the fed funds rate, the central bank’s main policy benchmark, “well within” 0% to 0.25%, he said.Repo and Treasury bill rates have been flirting with zero -- and even trading below sometimes -- since the beginning of the year as reserve balances at the central bank swell. Market participants have told the Fed that a rapid expansion in reserves could keep driving money-market rates lower, with the earliest and most pronounced moves in the overnight secured funding markets.“The Fed has no qualms about helping the front-end when it’s necessary, but at the moment it seems that things would have to get worse before the Fed steps in,” said Gennadiy Goldberg, senior U.S. rates strategist at TD Securities.Padhraic Garvey, head of global debt and rates strategy at ING Groep NV, expects that moment could come sooner with a 10 basis point hike on IOER. “It would be purely a technical thing, to coax liquidity into that bucket, and in so doing to help frame where surrounding alternatives should trade, including the likes of SOFR,” he wrote in a client note.Traders aren’t waiting either. They’re selling futures tied to the Fed Funds rate that would benefit from such a move after the FOMC minutes hinted at the appropriateness of implementing adjustments to administered rates.The Fed took its first steps to support short-term rates last month when it directed the Open Markets Desk at the New York Fed to increase the daily counterparty limit on its overnight reverse repo facility to $80 billion per day from $30 billion, the first adjustment since 2014.On Wednesday, 15 participants tapped the facility for $35 billion, the most since March 31.(Adds strategist quote in fifth paragraph and price action in sixth.)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.3h agoBloombergBuffett’s Berkshire Taps Yen Debt With $1.5 Billion Offering(Bloomberg) -- Warren Buffett’s Berkshire Hathaway Inc. priced yen-denominated bonds on Thursday, as yield premiums in the Japanese market have tightened to the least in over two years.The conglomerate sold 160 billion yen ($1.5 billion) of notes in a three-part deal. The U.S. firm, which is sitting on $138 billion of cash, will use the funds for general corporate purposes including refinancing of debt. The fundraising comes after the company said last year it purchased stakes of about 5% in Itochu Corp., Marubeni Corp., Mitsubishi Corp., Mitsui & Co. and Sumitomo Corp. The amount raised in the debt issuance is theoretically “just enough” to raise by 1% Buffett’s stakes in the five Japanese trading houses, Jefferies Financial Group Inc. analysts Thanh Ha Pham and Sangin Yun wrote in a note. Berkshire had said last year that it may increase its holdings in any of the firms up to a maximum of 9.9%.It’s a good time to be raising funds in Japan. Average spreads on local corporate bonds there have fallen to about 29 basis points, the least since December 2018, after the Bank of Japan adjusted its monetary policy to enable it to continue with easing over the long run.The offering gives Japanese investors an opportunity to buy into a well-known global firm while enjoying a bit more yield than is generally on offer in the local market.As part of the deal, Berkshire Hathaway priced 80 billion yen of 10-year bonds at a coupon of 0.437%, compared with about 0.1% on Japanese government debt of the same tenor. The deal also included 5-year and 20-year notes, with expected ratings from Moody’s Investors Service and S&P Global Ratings higher than those given to Japanese sovereign debt by those firms.Debt sales in yen by foreign issuers typically pay Japanese investors more spread than local issuers of comparable credit quality because of perceived additional risks.The relative attractiveness of Berkshire Hathaway’s bonds can be seen also by comparing them with recent offerings from Japanese companies locally.The U.S. company’s 5-year note pays an interest rate of 0.173%, compared with 0.05% coupon on a similar tenor debt security priced by Toyota Motor Corp. last month. Nagoya Railroad Co. sold a five-year bond, which priced with a coupon of 0.09% in March that garnered demand almost nine times the issuance size.(Adds further background)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.6h agoCoinDeskMarket Wrap: Bitcoin Drops to Near $56K as Spot Trading Volume Remains LowThe oldest cryptocurrency is looking at a price support level around $54,000, with resistance around $60,000.17h agoBloombergGlobal Funds End Two-Year Buying Spree in China Government Debt(Bloomberg) -- Global funds trimmed holdings of China’s government debt for the first time in two years in March, as their yield premium over Treasuries narrowed and authorities announced plans for more debt sales.Foreign investors held 2.04 trillion yuan ($312 billion) of Chinese government bonds as of the end of last month, data from ChinaBond show. That’s 16.5 billion yuan lower than the record amount held in February, according to calculations by Bloomberg. The last time overseas institutions cut holdings was February 2019.While Chinese bonds have emerged as a haven during the global debt rout this year, the surge in Treasury yields to levels last seen in January 2020 have dimmed their appeal. Inflows may also slow after FTSE Russell said last month an inclusion of the nation’s debt into its global index will take three years, instead of the 12 months initially envisioned, after feedback from investors.“While rising Treasury yields always pose a risk of capital outflow from emerging markets, net selling is very rare,” said Dariusz Kowalczyk, chief China economist at Credit Agricole CIB in Hong Kong. “The data indicate that going forward, foreign interest in CGBs and Chinese bonds in general is likely to be more limited as long as Treasury yields are high or rising, which will be the case for the rest of the year.”Read: U.S. Debt Rout Ignites Hunt for New Havens That Ends in ChinaGlobal funds had been piling into Chinese sovereign debt for 24 consecutive months, doubling their holdings over that period as the government loosened ownership restrictions and the securities were included in global indexes. A lack of correlation to overseas bonds has also lured investors, helping them gain 1% in the first quarter, the only one to do so among the 20 largest global markets.The yield premium China’s benchmark 10-year bond enjoys over Treasuries narrowed by around 1 percentage point to about 154 basis points from a record high in November. That advantage looks set to erode further with some on Wall Street forecasting that U.S. yields will climb to 2%.To top it off, the slower-than-expected inclusion into FTSE Russell’s World Government Bond Index comes just as inflows from China’s entry into other major benchmarks are more or less complete. Global funds own about 11% of the Chinese sovereign bond market.Index Flows“We are in a pause between bond index inclusion by Bloomberg-Barclays and JPMorgan, which has finished, and by WGBI, which will only start in October,” said Credit Agricole’s Kowalczyk. “This means downside risks for inflows into Chinese bonds and upside risks for their yields this year.”For More: China Faces Bond Market Test After Acting as Bastion in RoutThe reduction in foreign interest also came after China announced a larger-than-expected quota for the sales of local government debt, with some analysts saying that would pressure the overall market. While sovereign bonds are more popular with foreign investors, Chinese commercial banks are the main buyers of local debt.The ChinaBond data cover the majority of the interbank market, where most government and policy bank notes are traded. More figures will likely be released by the Shanghai Clearing House in a few days that will cover some credit bonds in the interbank and exchange markets.“Offshore investors may temporarily adjust their holdings of Chinese government bonds but they will not stop buying,” said Xing Zhaopeng, senior China strategist at Australia & New Zealand Banking Group Ltd. in Shanghai. “Index flows will restart with the FTSE inclusion beginning in October while a big trade surplus will continue to support the renminbi and offset the strength of the dollar.”(Updates with analyst quotes in fourth and last paragraphs)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.9h agoYahoo FinanceStock market news live updates: Stocks edge lower, S&P 500 turns negative after touching fresh highStocks traded roughly flat Tuesday morning as traders took a pause after Monday's record-setting rally.2d agoReutersEuro zone business activity returns to growth in March - PMIEuro zone business activity returned to growth last month, underpinned by a record expansion in the manufacturing sector, according to a survey on Wednesday that showed the service industry was coping with new lockdowns better than expected. 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PJSC has been an investor’s dream.Shares in the Abu Dhabi-based group have jumped more than 70% since March 22 in an uninterrupted 13-day winning streak that’s propelled the company’s value past the $40 billion mark for the first time, higher even than the United Arab Emirates’ biggest bank.Yet IHC, which enjoys the backing of Abu Dhabi’s ruling family and has investments ranging from Elon Musk’s SpaceX to a local fishery company, isn’t for the timid. All but a fraction of the shares are concentrated among Emiratis, not a single analyst covers the company and few observers want to guess at what’s behind the ballooning share price.“IHC isn’t any other company,” said Vijay Valecha, chief investment officer at Century Financial, a Dubai-based consultancy. “The shares aren’t for the faint-hearted, as any management misstep can be costly. The stock is suited for growth investors who understand the risk.”That growth is evident from IHC’s thirst for acquisitions. Under the stewardship of the powerful Sheikh Tahnoon Bin Zayed Al Nahyan, who became chairman about a year ago, the company has been stepping up investments inside and outside the oil-rich UAE. It had $3.8 billion in assets as of the end of last year, about four times more than a year earlier. Profit rose 159% to 3 billion dirhams ($821 million) in 2020.Sheikh Tahnoon, who is national security adviser for the UAE and brother to Abu Dhabi’s crown prince, is also chairman of the Royal Group, a major UAE conglomerate and IHC’s biggest shareholder.None of which accounts for the stock gains though. And the company itself isn’t offering much by way of explanation either.“I cannot say much,” Syed Basar Shueb, IHC’s Abu Dhabi-based chief executive officer and managing director, said in a telephone interview Wednesday, adding that the company is sticking to its acquisition strategy. “On a monthly basis, we have two, three or maybe four deals,” and there are more being negotiated at the moment, he said.IHC invested in 36 new companies last year, bringing the number of legal operating entities under its portfolio to 97. The company has been giving presentations to investors at its Abu Dhabi headquarters, and there have been conversations with “a few” brokerage houses that may start covering IHC as soon as this quarter, Shueb said.To be sure, it doesn’t take much to move the stock. Average daily volumes this year equate to about 0.2% of the company’s outstanding shares.IHC rose 1.7% to 87.65 dirhams as of 11:44 a.m. local time Thursday, bringing its advance this year to 110%.Many of IHC’s plans “are audacious and sometimes baffling to an investor,” Valecha said. “But this company has pretty aggressive management, and so far they have delivered the goods.”(Updates with stock performance on Thursday starting in the second paragraph.)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.5h agoMarketWatchThe biggest ‘inflation scare’ in 40 years is coming — what stock-market investors need to knowIt's unclear whether inflation will see a lasting comeback, but a booming, stimulus-fed economy rebounding from the COVID-19 pandemic seems all but certain to send some near-term inflationary shock waves through financial markets in the months to come.3h agoUSA TODAYStimulus checks sent to 156M Americans, including Social Security beneficiaries and 'plus up' COVID paymentsThe IRS has issued more than 156 million stimulus payments under President Biden’s American Rescue Plan. Here's how to check your payment status.17h agoThe TelegraphItaly and Greece risk post-pandemic debt crunchItaly, Greece and other heavily indebted eurozone countries risk a financial crunch after the pandemic because of the cost of fighting Covid, analysts have warned. Mounting debts risk spooking investors and driving up borrowing costs once normal conditions resume, particularly if post-pandemic austerity sparks a new wave of political populism, according to M&G fund manager Eric Lonergan. Countries have been able to borrow hand over fist because the European Central Bank is buying €1.85 trillion (£1.6 trillion) of bonds under its Pandemic Emergency Purchase Programme, while financial markets have backed spending to get through the lockdowns. Mr Lonergan said: “Europe is ironically vulnerable to recovery because it seems you only get temporary elimination of credit risk in European sovereigns when you are in an emergency, in which case the ECB underwrites your bond market. “The problem is that when you come out of an emergency, you are back to market forces in the bond market, and some of these numbers look really, really bad.”3h agoMarketWatchExpecting another refund after the IRS calculates the $10,200 unemployment tax break? You might want to do more than just waitBefore sitting back and letting the IRS do the work, experts say some people should at least consider filing an amended return.23h agoBarrons.comEarly Retirement is Not as Good as it Sounds. Advisors Need to Persuade Clients To Keep Working.In a typical year, come summertime, a few teachers in western Pennsylvania would contact Brad Hindman’s office, wanting to talk about the feasibility of retiring in a year or maybe two. “This is the first year that in June and July we got people coming to our office seeking out our advice [when] it wasn’t, ‘Can I retire next year,’ ” says Hindman, a Wells Fargo advisor based in Johnstown, Pennsylvania. Clients who want to retire before they are ready are a perennial challenge for advisors.12h agoBenzingaJim Cramer On The Market: 'It's Just Kind Of Absurd'Jim Cramer, known for his "Mad Money" program on CNBC, shared with viewers his thoughts on the market as a whole on "Squawk on the Street" Wednesday. His main points revolve around how the market is in a back-and-forth with the CDC, and how the CDC practically controls many industries’ markets. A few “tell stocks” are indicators for the market right now, including Roku Inc (NASDAQ: ROKU), Cramer said. “Roku is a great measure of sentiment," he said. "Yesterday it was up huge, which means we’re going back with the stay-at-homes. Just watch Roku, because it really is the market. There are these tell stocks, and it’s just kind of absurd.” Cramer gave the cruise ship industry as an example of how the CDC can put out notices and alerts that completely fluctuate the markets. For instance, he said cruise ship companies have been talking about sailing for three days now, and with the CDC’s confirmation that “they’ll sail someday soon,” the stocks continue to rise. “I wish I could tell people who’ve never traded or invested before how stupid this market is. There are just these themes, and the themes just don’t stop.” Carnival Corp. (NYSE: CCL) is leading the S&P thanks to the CDC’s optimistic view on the pandemic, the vaccine and the notion that the masses will one day again want to get onto a cruise ship with hundreds of strangers post-pandemic, the CNBC host said. See more from BenzingaClick here for options trades from Benzinga3 Short Squeeze Candidates In The Materials SectorWhy It Might Be Time To Buy Twitter And Paycom© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.15h agoMarketWatch‘We’ve reached a tipping point’ on bitcoin adoption, Fidelity’s Tom Jessop saysTom Jessop, head of Fidelity Digital Assets at Fidelity Investments, says that the maturation and adoption of digital assets as a class of investments will continue at a rapid race in coming years, signally that crypto may have turned a corner in the world of traditional finance.11h agoBarrons.comGM Launched Its Long-Awaited Electric Truck. Why It Didn’t Have a Choice.Trucks are a big business for GM and the company would never leave the territory to EV startups such as Lordstown Motors, Rivian, or Tesla.21h agoMoneyWiseIf Biden lowers the Medicare age, your savings could be in the thousandsMillions of people aged 60-64 would see their annual health premiums disappear.16h agoBarrons.comNIO and Other Chinese EV Stocks Are Getting Crushed. Tesla’s Not Doing So Hot Either.Stock in U.S. listed Chinese electric vehicle makers are plummeting together on Wednesday. Investor can't blame a rotation out of highly valued technology stocks. The Nasdaq Composite is flat.16h agoCoinDeskBloomberg Foresees Bitcoin Rallying to $400K This YearAnalysts at Bloomberg Crypto argue the largest cryptocurrency might be due for a run analogous with the steep rallies of 2017 and 2013, following prior "halvings" on the blockchain network.17h agoYahoo FinanceJPMorgan CEO Jamie Dimon outlines 'serious weaknesses' of virtual workJPMorgan says the pandemic will change how it manages its real estate business, but it will continue with plans to open a new headquarters in NYC.1d agoMore Stories
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CrowdAI Unveils New Platform for Customized Computer Vision Models and Announces a Series A Round of Financing
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CrowdAI Unveils New Platform Customized Computer Vision Models Announces Series A Round Financing HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SHOPPING YAHOO PLUS MORE... 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David Jen RogersJen Rogers Jessica SmithJessica Smith Julia La RocheJulia La Roche Julie HymanJulie Hyman Kristin MyersKristin Myers Lisa ScherzerLisa Scherzer Lulu ChiangLulu Chiang Max ZahnMax Zahn Melody HahmMelody Hahm Michael KelleyMichael Kelley Myles UdlandMyles Udland Nishant MohanNishant Mohan Pras SubramanianPras Subramanian Reggie WadeReggie Wade Rick NewmanRick Newman Sam RoSam Ro Seana SmithSeana Smith Sheila BairSheila Bair Sibile MarcellusSibile Marcellus Zack GuzmanZack Guzman Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes RatesRates Broker CenterBroker Center Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers Andy SerwerInfluencers Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U A Time ChangeA Time Change Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Women MoneyWomen Money Industries Industries Basic MaterialsBasic Materials Communication ServicesCommunication Services Consumer CyclicalConsumer Cyclical Consumer DefensiveConsumer Defensive EnergyEnergy Financial ServicesFinancial Services HealthcareHealthcare IndustrialsIndustrials Real EstateReal Estate TechnologyTechnology UtilitiesUtilities Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Us Us MoreMore U.S. markets open 4 minutesSP Futures4,081.2511.25 0.28Dow Futures33,305.0023.00 0.07Nasdaq Futures13,716.50111.75 0.82Russell 2000 Futures2,233.0013.80 0.62Crude Oil59.260.51 0.85Gold1,752.4010.80 0.62Silver25.600.35 1.40EURUSD1.18930.0020 0.1710Yr Bond1.64900.0040 0.24Vix16.551.57 8.66GBPUSD1.37620.0025 0.18USDJPY109.11300.7170 0.65BTCUSD57,447.191,282.87 2.28CMC Crypto 2001,208.9117.87 1.46FTSE 1006,911.3726.05 0.38Nikkei 22529,708.9821.81 0.07JUST IN:More Americans filed weekly jobless claims expected744,000 new claims filed, expected 680,000 week ended April 3PR NewswireCrowdAI Unveils New Platform Customized Computer Vision Models Announces Series A Round FinancingRead articleApril 8, 2021, 9:00 AM3 min readNew platform allows user build AI images videos coding expertiseSAN FRANCISCO, April 8, 2021 PRNewswire CrowdAI, leading platform build customized vision AI, today announced launch nextgeneration AI platform, enables create highquality solutions analyze imagery video. CrowdAI announced raised 10 million support launch platform recently Series A led Threshold Ventures. Other participating investors include Susa Ventures, Ron Conways SV Angel, Jerry Yang AME Cloud, Y Combinator. With round, Mohammad Islam, Partner Threshold Ventures, joins companys Board Directors.CrowdAI provides custom vision solutions customers manufacturing, property insurance, finance, technology markets, works extensively U.S. government. The companys initial platform focused cutting timetovalue custom vision projects half developers data scientists familiar AI integrations workflows.With CrowdAIs new platform, data science background coding required datadriven operational decisions. The fullstack solution provides tools necessary raw pixels structured insights relevant users specific needs. CrowdAI provides support strategy determining implement AI solution enterprise.CrowdAI developed powerful product makes vision widely accessible, enables intelligent automation enterprise, said Mo Islam, Partner, Threshold Ventures. We immediately impressed Devaki team excited support company journey leading visual AI platform.CrowdAI offers free, webbased version, subscription version custom enterprisebased assets. The new platform allows organization tap benefits intelligent automation. Technology advancements enterprise, including artificial intelligence smart technology, pushed market forward years. Despite security privacy concerns, artificial intelligence continues prove critical asset implemented correctly efficiently. CrowdAI seen 200 increase customer base past year, indicating broader shift industrial large commercial sectors intelligent automation.Story continuesAt CrowdAI, work alongside managers, engineers, marketers, data scientists level learn tools AI workflows impact organization, said Devaki Raj, CEO founder CrowdAI. Our goal empower workforce better understand AI help job. Im incredibly proud team weve built. With new, nextgeneration platform, able vision AI approachable intuitive enterprise.CrowdAI currently utilized numerous organizations government, education sector, technology industry. CrowdAIs vision lead industrial transformation AI empowering create deploy custom AI solutions maximizing value visual data.About CrowdAICrowdAI, leading platform build customized vision AI, enables create high quality solutions analyze imagery videono data science background coding required. Our fullstack solution provides tools necessary raw pixels structured insights relevant specific needs. With CrowdAI, build vision AI bespoke specific needs, writing single line code.Based San Francisco, company founded 2016 backed leading Silicon Valley venture capital, including Threshold Ventures, Susa Ventures, Y Combinator.Media :Cliff Masseycliff 2084443CisionView original content: CrowdAITRENDING 1. Transportation Secretary Pete Buttigieg: Corporate America pay fair share taxes 2. Canopy Growth buy Supreme Cannabis 256.85 million pot demand lights 3. US STOCKSSP 500, Nasdaq set open higher tech boost 4. UPDATE 1Russia says forced protect citizens east Ukraine TASS 5. UPDATE 1U.S. Senate panel consider major China competition April 14 source Recommended StoriesBloombergBanks Turn Indias HotMoney Move Into Lucrative Currency TradeBloomberg The Reserve Bank Indias attempt flush excess U.S. dollars nations markets offered unique arbitrage opportunity banks.Lenders regulatory loophole profit trading currency forward markets, according people knowledge matter. A large bank easily rack exposures 1 billion, multiple traders said, asking identified deals arent public.The strategy revolves February regulation change dropped exposure limits local banks sovereign assets, U.S. Treasuries, allowed advantage spread dollarrupee markets. The RBIs extensive intervention driven implied 12month yields currency pair highest years.The biggest beneficiaries foreign banks nation, easy access large dollar stockpiles, people said. As biggest buyer greenback forwards market, RBI effectively funding trading profits.Heres works. Banks convert rupee deposits dollars buysell swap buying greenback selling specified date future. They use proceeds purchase Treasuries, newlyrelaxed RBI rule. The return arbitrage: pay 3.5 local currency deposits, earning 4.9 oneyear forward premia.In discussions, central bank clear lenders deploy dollars stockpile use swaps investments newly relaxed rules, people said. However, written rules dont define constitutes banks resources investments creating loophole lenders greenback swaps.Since longer limits banks invest abroad, regulatory perspective caps exposures have.Relaxed RulesThe trades arent illegal theres suggestion wrongdoing. An email RBI spokesman Tuesday afternoon unanswered.When RBI Governor Shaktikanta Das rule change banks exposure foreign assets months ago, expectation drive lenders use excess dollars buy Treasuries, flood local market greenback.While banks so, profiting currency markets. To sure, February rulechange trades helped lower 12month forward premia 4.9 5.4, trimming hedging costs companies.The RBI mopping capital inflows driven buoyant stock market acquisitions extent foreignexchange reserves grew worlds fourthlargest. The intervention spot market sterilized forwards led surge 12month rate.Read: India FX Reserves Cross Russia Become Worlds 4th BiggestAs result, central banks longdollar books jumped 47.4 billion endJanuary negative 4.9 billion March 2020.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.1d agoBloombergFed Signals Its Ready Wield Power Over ShortTerm RatesBloomberg Federal Reserve Chairman Jerome Powell stands ready pull central banks policy levers regularly scheduled meetings, thats takes shortterm rates control.He noted recent downward pressure rates Federal Open Market Committees March 1617 meeting, according minutes released Wednesday, said appropriate adjust excess reserves rate known IOER, Fed pays facility overnight reverse repurchase agreements both. Action come regular meeting fed funds rate, central banks main policy benchmark, 0 0.25, said.Repo Treasury rates flirting zero trading beginning year reserve balances central bank swell. Market participants told Fed rapid expansion reserves driving moneymarket rates lower, earliest pronounced moves overnight secured funding markets.The Fed qualms helping frontend necessary, moment things worse Fed steps in, said Gennadiy Goldberg, senior U.S. rates strategist TD Securities.Padhraic Garvey, head global debt rates strategy ING Groep NV, expects moment come sooner 10 basis point hike IOER. It purely technical thing, coax liquidity bucket, help frame surrounding alternatives trade, including likes SOFR, wrote client note.Traders arent waiting either. Theyre selling futures tied Fed Funds rate benefit FOMC minutes hinted appropriateness implementing adjustments administered rates.The Fed took steps support shortterm rates month directed Open Markets Desk New York Fed increase daily counterparty limit overnight reverse repo facility 80 billion day 30 billion, adjustment 2014.On Wednesday, 15 participants tapped facility 35 billion, March 31.Adds strategist quote fifth paragraph price action sixth.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.3h agoBloombergBuffetts Berkshire Taps Yen Debt With 1.5 Billion OfferingBloomberg Warren Buffetts Berkshire Hathaway . priced yendenominated bonds Thursday, yield premiums Japanese market tightened years.The conglomerate sold 160 billion yen 1.5 billion notes threepart deal. The U.S. firm, sitting 138 billion cash, use funds general corporate purposes including refinancing debt. The fundraising comes company said year purchased stakes 5 Itochu Corp., Marubeni Corp., Mitsubishi Corp., Mitsui Co. Sumitomo Corp. The raised debt issuance theoretically raise 1 Buffetts stakes Japanese trading houses, Jefferies Financial Group . analysts Thanh Ha Pham Sangin Yun wrote note. Berkshire said year increase holdings firms maximum 9.9.Its good time raising funds Japan. Average spreads local corporate bonds fallen 29 basis points, December 2018, Bank Japan adjusted monetary policy enable continue easing long run.The offering gives Japanese investors opportunity buy wellknown global firm enjoying bit yield generally offer local market.As deal, Berkshire Hathaway priced 80 billion yen 10year bonds coupon 0.437, compared 0.1 Japanese government debt tenor. The deal included 5year 20year notes, expected ratings Moodys Investors Service SP Global Ratings higher given Japanese sovereign debt firms.Debt sales yen foreign issuers typically pay Japanese investors spread local issuers comparable credit quality perceived additional risks.The relative attractiveness Berkshire Hathaways bonds seen comparing recent offerings Japanese companies locally.The U.S. companys 5year note pays rate 0.173, compared 0.05 coupon similar tenor debt security priced Toyota Motor Corp. month. Nagoya Railroad Co. sold fiveyear bond, priced coupon 0.09 March garnered demand times issuance size.Adds backgroundFor articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.6h agoCoinDeskMarket Wrap: Bitcoin Drops Near 56K Spot Trading Volume Remains LowThe oldest cryptocurrency looking price support level 54,000, resistance 60,000.17h agoBloombergGlobal Funds End TwoYear Buying Spree China Government DebtBloomberg Global funds trimmed holdings Chinas government debt time years March, yield premium Treasuries narrowed authorities announced plans debt sales.Foreign investors held 2.04 trillion yuan 312 billion Chinese government bonds end month, data ChinaBond show. Thats 16.5 billion yuan lower record held February, according calculations Bloomberg. The time overseas institutions cut holdings February 2019.While Chinese bonds emerged global debt rout year, surge Treasury yields levels seen January 2020 dimmed appeal. Inflows slow FTSE Russell said month inclusion nations debt global index years, instead 12 months initially envisioned, feedback investors.While rising Treasury yields pose risk capital outflow emerging markets, net selling rare, said Dariusz Kowalczyk, chief China economist Credit Agricole CIB Hong Kong. The data indicate going forward, foreign CGBs Chinese bonds general likely limited long Treasury yields high rising, case rest year.Read: U.S. Debt Rout Ignites Hunt New Havens That Ends ChinaGlobal funds piling Chinese sovereign debt 24 consecutive months, doubling holdings period government loosened ownership restrictions securities included global indexes. A lack correlation overseas bonds lured investors, helping gain 1 quarter, 20 largest global markets.The yield premium Chinas benchmark 10year bond enjoys Treasuries narrowed 1 percentage point 154 basis points record high November. That advantage looks set erode Wall Street forecasting U.S. yields climb 2.To off, slowerthanexpected inclusion FTSE Russells World Government Bond Index comes inflows Chinas entry major benchmarks complete. Global funds 11 Chinese sovereign bond market.Index FlowsWe pause bond index inclusion BloombergBarclays JPMorgan, finished, WGBI, start October, said Credit Agricoles Kowalczyk. This means downside risks inflows Chinese bonds upside risks yields year.For More: China Faces Bond Market Test After Acting Bastion RoutThe reduction foreign came China announced largerthanexpected quota sales local government debt, analysts saying pressure overall market. While sovereign bonds popular foreign investors, Chinese commercial banks main buyers local debt.The ChinaBond data cover majority interbank market, government policy bank notes traded. More figures likely released Shanghai Clearing House days cover credit bonds interbank exchange markets.Offshore investors temporarily adjust holdings Chinese government bonds stop buying, said Xing Zhaopeng, senior China strategist Australia New Zealand Banking Group Ltd. Shanghai. Index flows restart FTSE inclusion beginning October big trade surplus continue support renminbi offset strength dollar.Updates analyst quotes fourth paragraphsFor articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.9h agoYahoo FinanceStock market news live updates: Stocks edge lower, SP 500 turns negative touching fresh highStocks traded roughly flat Tuesday morning traders took pause Mondays recordsetting rally.2d agoReutersEuro zone business activity returns growth March PMIEuro zone business activity returned growth month, underpinned record expansion manufacturing sector, according survey Wednesday showed service industry coping new lockdowns better expected. As Europe battles wave coronavirus infections, governments reimposed restrictions citizens forced swathes dominant services industry remain closed. But IHS Markits Services Purchasing Managers Index PMI rose 49.6 March Februarys 45.7, higher flash estimate 48.8 shy 50 mark separates growth contraction.1d agoBloombergThis UAE Stock Is Up 70 Three Weeks Nobody Knows WhyBloomberg By standards, recent performance International Holdings Co. PJSC investors dream.Shares Abu Dhabibased group jumped 70 March 22 uninterrupted 13day winning streak thats propelled companys value past 40 billion mark time, higher United Arab Emirates biggest bank.Yet IHC, enjoys backing Abu Dhabis ruling family investments ranging Elon Musks SpaceX local fishery company, isnt timid. All fraction shares concentrated Emiratis, single analyst covers company observers want guess whats ballooning share price.IHC isnt company, said Vijay Valecha, chief investment officer Century Financial, Dubaibased consultancy. The shares arent fainthearted, management misstep costly. The stock suited growth investors understand risk.That growth evident IHCs thirst acquisitions. Under stewardship powerful Sheikh Tahnoon Bin Zayed Al Nahyan, chairman year ago, company stepping investments inside outside oilrich UAE. It 3.8 billion assets end year, times year earlier. Profit rose 159 3 billion dirhams 821 million 2020.Sheikh Tahnoon, national security adviser UAE brother Abu Dhabis crown prince, chairman Royal Group, major UAE conglomerate IHCs biggest shareholder.None accounts stock gains though. And company isnt offering way explanation either.I much, Syed Basar Shueb, IHCs Abu Dhabibased chief executive officer managing director, said telephone interview Wednesday, adding company sticking acquisition strategy. On monthly basis, two, maybe deals, negotiated moment, said.IHC invested 36 new companies year, bringing number legal operating entities portfolio 97. The company giving presentations investors Abu Dhabi headquarters, conversations brokerage houses start covering IHC soon quarter, Shueb said.To sure, doesnt stock. Average daily volumes year equate 0.2 companys outstanding shares.IHC rose 1.7 87.65 dirhams 11:44 a.m. local time Thursday, bringing advance year 110.Many IHCs plans audacious baffling investor, Valecha said. But company pretty aggressive management, far delivered goods.Updates stock performance Thursday starting second paragraph.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.5h agoMarketWatchThe biggest inflation scare 40 years coming stockmarket investors need knowIts unclear inflation lasting comeback, booming, stimulusfed economy rebounding COVID19 pandemic certain send nearterm inflationary shock waves financial markets months come.3h agoUSA TODAYStimulus checks sent 156M Americans, including Social Security beneficiaries plus COVID paymentsThe IRS issued 156 million stimulus payments President Bidens American Rescue Plan. Heres check payment status.17h agoThe TelegraphItaly Greece risk postpandemic debt crunchItaly, Greece heavily indebted eurozone countries risk financial crunch pandemic cost fighting Covid, analysts warned. Mounting debts risk spooking investors driving borrowing costs normal conditions resume, particularly postpandemic austerity sparks new wave political populism, according MG fund manager Eric Lonergan. Countries able borrow hand fist European Central Bank buying 1.85 trillion 1.6 trillion bonds Pandemic Emergency Purchase Programme, financial markets backed spending lockdowns. Mr Lonergan said: Europe ironically vulnerable recovery temporary elimination credit risk European sovereigns emergency, case ECB underwrites bond market. The problem come emergency, market forces bond market, numbers look really, bad.3h agoMarketWatchExpecting refund IRS calculates 10,200 unemployment tax break? You want waitBefore sitting letting IRS work, experts people consider filing amended return.23h agoBarrons.comEarly Retirement Not Good Sounds. Advisors Need Persuade Clients To Keep Working.In typical year, come summertime, teachers western Pennsylvania contact Brad Hindmans office, wanting talk feasibility retiring year maybe two. This year June July got people coming office seeking advice [when] wasnt, Can I retire year, says Hindman, Wells Fargo advisor based Johnstown, Pennsylvania. Clients want retire ready perennial challenge advisors.12h agoBenzingaJim Cramer On The Market: Its Just Kind Of AbsurdJim Cramer, known Mad Money program CNBC, shared viewers thoughts market Squawk Street Wednesday. His main points revolve market backandforth CDC, CDC practically controls industries markets. A tell stocks indicators market right now, including Roku NASDAQ: ROKU, Cramer said. Roku great measure sentiment, said. Yesterday huge, means going stayathomes. Just watch Roku, market. There tell stocks, kind absurd. Cramer gave cruise ship industry example CDC notices alerts completely fluctuate markets. For instance, said cruise ship companies talking sailing days now, CDCs confirmation theyll sail someday soon, stocks continue rise. I wish I tell people whove traded invested stupid market is. There themes, themes dont stop. Carnival Corp. NYSE: CCL leading SP thanks CDCs optimistic view pandemic, vaccine notion masses day want cruise ship hundreds strangers postpandemic, CNBC host said. See BenzingaClick options trades Benzinga3 Short Squeeze Candidates In The Materials SectorWhy It Might Be Time To Buy Twitter And Paycom 2021 . Benzinga provide investment advice. .15h agoMarketWatchWeve reached tipping point bitcoin adoption, Fidelitys Tom Jessop saysTom Jessop, head Fidelity Digital Assets Fidelity Investments, says maturation adoption digital assets class investments continue rapid race coming years, signally crypto turned corner world traditional finance.11h agoBarrons.comGM Launched Its LongAwaited Electric Truck. Why It Didnt Have Choice.Trucks big business GM company leave territory EV startups Lordstown Motors, Rivian, Tesla.21h agoMoneyWiseIf Biden lowers Medicare age, savings thousandsMillions people aged 6064 annual health premiums disappear.16h agoBarrons.comNIO Other Chinese EV Stocks Are Getting Crushed. Teslas Not Doing So Hot Either.Stock U.S. listed Chinese electric vehicle makers plummeting Wednesday. Investor blame rotation highly valued technology stocks. The Nasdaq Composite flat.16h agoCoinDeskBloomberg Foresees Bitcoin Rallying 400K This YearAnalysts Bloomberg Crypto argue largest cryptocurrency run analogous steep rallies 2017 2013, following prior halvings blockchain network.17h agoYahoo FinanceJPMorgan CEO Jamie Dimon outlines weaknesses virtual workJPMorgan says pandemic change manages real estate business, continue plans open new headquarters NYC.1d agoMore Stories
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] | 1 | 196,930 |
https://finance.yahoo.com/news/lawyer-used-chatgpts-fake-legal-212342143.html
| 2023-06-08T00:00:00 |
en
|
The lawyer who used ChatGPT's fake legal cases in court said he was 'duped' by the AI, but a judge questioned how he didn't spot the 'legal gibberish'
|
The lawyer who used ChatGPT's fake legal cases in court said he was 'duped' by the AI, but a judge questioned how he didn't spot the 'legal gibberish'Business InsiderThe lawyer who used ChatGPT's fake legal cases in court said he was 'duped' by the AI, but a judge questioned how he didn't spot the 'legal gibberish'Paul SquireJune 8, 2023 at 5:23 PM·2 min readA lawyer who used ChatGPT to help write a legal filing said he was "duped" after it was revealed the AI made up fake legal cases to back his argument.NurPhoto / Contributor / Getty ImagesA lawyer used ChatGPT to help search for legal cases to write an affidavit backing his lawsuit.The AI hallucinated six fake cases, per a federal judge, which the lawyer included in the filing.At a sanctions hearing, the judge admonished the the lawyer for being fooled by "legal gibberish."The lawyer who used ChatGPT to help write up an affidavit — and didn't realize the AI had completely made up fake legal cases to cite — said he was "duped" by the tool during a sanctions hearing before a New York judge on Thursday, Inner City Press reported.But the judge in the hearing pressed the lawyer, questioning how the lawyer missed the fakes and saying ChatGPT's fabricated ramblings were "legal gibberish," journalist Matthew Russell Lee reported for his nonprofit outlet."Chat GPT wasn't supplementing your research - it was your research, right?" US District Court Judge P. Kevin Castel asked lawyer Steven Schwartz of personal injury law firm Levidow, Levidow & Oberman, according to Inner City Press.The affidavit used by Schwartz and colleague Peter LoDuca was for a lawsuit from a man who alleged he was hurt by a serving cart on a flight. The court filing included six court cases that were "bogus judicial decisions with bogus quotes and bogus internal citations," Castel wrote in a previous court order.A receptionist who picked up the phone at Levidow, Levidow & Oberman late Thursday said the lawyers were out of the office. They couldn't be immediately reached for comment.At the sanctions hearing over the mishap, Castel pressed Schwartz, Inner City Press reported."You say you verify cases," Castel said, according to Inner City Press"I, I, I thought there were cases that could not be found on Google," Schwartz replied, according to the outlet."Six cases, none found on Google. This non-existent case, Varghese, the excerpt you had was inconsistent, even on the first page," Castel said, the outlet reported. "Can we agree that's legal gibberish?"Schwartz responded that he thought ChatGPT's output was "excerpts," Inner City Press reported.Another lawyer at the firm, Peter LoDuca, is also facing sanctions, though he said in court that he didn't do the research that was used in the affidavit."I have worked with Mr. Schwartz for 27 years," LoDuca said in court, Inner City Press reported. "I should have been more skeptical. I can't go back and change what was done. This will never happen again."The hearing adjourned without Castel making a decision on possible sanctions for the lawyers.Read the original article on Business InsiderYahoo!WatchlistsMy PortfolioMarketsNewsVideosYahoo Finance PlusScreenersPersonal FinanceCryptoIndustriesContact UsTerms and Privacy PolicyYour Privacy ChoicesHelpShare your feedbackAbout UsAbout Our AdsFollow us ontwitterfacebookinstagramyoutubelinkedin© 2023 Yahoo. All rights reserved.
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The lawyer who used ChatGPT's fake legal cases in court said he was 'duped' by the AI, but a judge questioned how he didn't spot the 'legal gibberish'
|
The lawyer ChatGPTs fake legal cases court said duped AI, judge questioned didnt spot legal gibberishBusiness InsiderThe lawyer ChatGPTs fake legal cases court said duped AI, judge questioned didnt spot legal gibberishPaul SquireJune 8, 2023 5:23 PM2 min readA lawyer ChatGPT help write legal filing said duped revealed AI fake legal cases argument.NurPhoto Contributor Getty ImagesA lawyer ChatGPT help search legal cases write affidavit backing lawsuit.The AI hallucinated fake cases, federal judge, lawyer included filing.At sanctions hearing, judge admonished lawyer fooled legal gibberish.The lawyer ChatGPT help write affidavit didnt realize AI completely fake legal cases cite said duped tool sanctions hearing New York judge Thursday, Inner City Press reported.But judge hearing pressed lawyer, questioning lawyer missed fakes saying ChatGPTs fabricated ramblings legal gibberish, journalist Matthew Russell Lee reported nonprofit outlet.Chat GPT wasnt supplementing research research, right? US District Court Judge P. Kevin Castel asked lawyer Steven Schwartz personal injury law firm Levidow, Levidow Oberman, according Inner City Press.The affidavit Schwartz colleague Peter LoDuca lawsuit man alleged hurt serving cart flight. The court filing included court cases bogus judicial decisions bogus quotes bogus internal citations, Castel wrote previous court order.A receptionist picked phone Levidow, Levidow Oberman late Thursday said lawyers office. They immediately reached comment.At sanctions hearing mishap, Castel pressed Schwartz, Inner City Press reported.You verify cases, Castel said, according Inner City PressI, I, I thought cases Google, Schwartz replied, according outlet.Six cases, Google. This nonexistent case, Varghese, excerpt inconsistent, , Castel said, outlet reported. Can agree thats legal gibberish?Schwartz responded thought ChatGPTs output excerpts, Inner City Press reported.Another lawyer firm, Peter LoDuca, facing sanctions, said court didnt research affidavit.I worked Mr. Schwartz 27 years, LoDuca said court, Inner City Press reported. I skeptical. I change done. This happen again.The hearing adjourned Castel making decision possible sanctions lawyers.Read original article Business InsiderYahooWatchlistsMy PortfolioMarketsNewsVideosYahoo Finance PlusScreenersPersonal FinanceCryptoIndustries UsTerms Your Privacy ChoicesHelpShare feedbackAbout Our AdsFollow ontwitterfacebookinstagramyoutubelinkedin 2023 Yahoo. .
| 2,023 |
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] | 1 | 196,931 |
https://finance.yahoo.com/news/mortgage-technology-company-gateless-inc-183100038.html
| 2021-03-05T00:00:00 |
en
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New Mortgage Technology Company Gateless, Inc. Offers Powerful Solutions Through Artificial Intelligence
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New Mortgage Technology Company Gateless, Inc. Offers Powerful Solutions Through Artificial Intelligence HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Finance Premium | Try it free Yahoo Finance Sign in Mail Sign in to view your mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Future ScreenerFuture Screener Index ScreenerIndex Screener Premium Premium DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas BlogBlog Markets Markets CryptocurrenciesCryptocurrencies CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Cryptocurrency NewsCryptocurrency News Morning BriefMorning Brief Aarthi SwaminathanAarthi Swaminathan Adam ShapiroAdam Shapiro Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexis ChristoforousAlexis Christoforous Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brian CheungBrian Cheung Brian SozziBrian Sozzi Daniel HowleyDaniel Howley Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan Wolff-MannEthan Wolff-Mann Ines FerréInes Ferré Javier E. DavidJavier E. David Jen RogersJen Rogers Jessica SmithJessica Smith Julia La RocheJulia La Roche Julie HymanJulie Hyman Kristin MyersKristin Myers Lisa ScherzerLisa Scherzer Lulu ChiangLulu Chiang Max ZahnMax Zahn Melody HahmMelody Hahm Michael KelleyMichael Kelley Myles UdlandMyles Udland Nishant MohanNishant Mohan Pras SubramanianPras Subramanian Reggie WadeReggie Wade Rick NewmanRick Newman Sam RoSam Ro Seana SmithSeana Smith Sheila BairSheila Bair Sibile MarcellusSibile Marcellus Zack GuzmanZack Guzman Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes RatesRates Broker CenterBroker Center Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers with Andy SerwerInfluencers with Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U A Time for ChangeA Time for Change Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Women and MoneyWomen and Money Industries Industries Basic MaterialsBasic Materials Communication ServicesCommunication Services Consumer CyclicalConsumer Cyclical Consumer DefensiveConsumer Defensive EnergyEnergy Financial ServicesFinancial Services HealthcareHealthcare IndustrialsIndustrials Real EstateReal Estate TechnologyTechnology UtilitiesUtilities Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Contact Us Contact Us MoreMore
U.S. markets close in 1 hour 51 minutesS&P 5003,806.96+38.49 (+1.02%) Dow 3031,258.41+334.27 (+1.08%) Nasdaq12,779.75+56.28 (+0.44%) Russell 20002,166.21+19.29 (+0.90%) Crude Oil66.05+2.22 (+3.48%) Gold1,696.40-4.30 (-0.25%) Silver25.25-0.22 (-0.85%) EUR/USD1.1919-0.0060 (-0.50%) 10-Yr Bond1.5520+0.0020 (+0.13%) GBP/USD1.3839-0.0055 (-0.40%) USD/JPY108.2700+0.2940 (+0.27%) BTC-USD48,488.82+6.29 (+0.01%) CMC Crypto 200970.19+27.02 (+2.86%) FTSE 1006,630.52-20.36 (-0.31%) Nikkei 22528,864.32-65.79 (-0.23%) PR NewswireNew Mortgage Technology Company Gateless, Inc. Offers Powerful Solutions Through Artificial IntelligenceRead full articleMarch 5, 2021, 1:31 PM·2 min readInnovative Platform Revolutionizes the Way Loans Are ProcessedWAKEFIELD, Mass., March 5, 2021 /PRNewswire/ -- Guaranteed Rate, one of America's top 5 retail mortgage lenders, today announces the formation of Gateless, a new visionary mortgage technology company that provides the industry with efficient solutions to innovate the entire loan process.Gateless LogoGateless was founded by Victor Ciardelli, President and CEO of Guaranteed Rate, with the mission to bring next-generation technology to the mortgage industry. Gateless recently received HousingWire's 2021 Tech100 award after finding quick success with the deployment of its technology solutions to drive efficiency and automation across a rapidly growing customer base. This early success led to the completion of its spinout as a separate company, in conjunction with its Series A capital raise, led by Ciardelli and Thomas H. Lee Partners, L.P."Gateless was founded to accelerate innovation across the mortgage industry," said Ciardelli. "With our deep understanding of the mortgage process, we are collaborating with Gateless to use Artificial Intelligence to dramatically streamline workflow. As a result, we've been able to generate massive time savings and cost efficiencies."Gateless brings next-generation Artificial Intelligence (AI) and machine learning to the mortgage industry through a suite of tools called AI Mortgage. AI Mortgage enhances performance and reduces manual tasks by automating key components of the loan process, such as document review and filing. AI Mortgage uses vision-based technology to substantially increase data accuracy and productivity while eliminating costly key-in errors.This end-to-end solution is designed to fit seamlessly into an existing loan operating system, significantly reducing the learning curve and eliminating any switching costs. On average, mortgage companies using AI Mortgage take loans from application to full approval 10 days faster.Story continues"This technology is a game changer, reducing friction for everyone involved in the loan manufacturing process," said Nik Athanasiou, Chief Operating Officer of Guaranteed Rate, and a Gateless customer. "By utilizing cutting-edge machine learning and AI, they have built innovative products that completely transform costly labor-intensive tasks, automatically and precisely. What once took hours now takes seconds and we are able to scale without staffing constraints."To learn more, please visit gateless.com or go to Gateless' virtual booth at Ellie Mae's upcoming Experience 21 Conference from March 8 – 16.About Gateless, Inc. Gateless, an innovative mortgage technology company, combines veteran industry expertise with Artificial Intelligence (AI) to create real, proven solutions that span the entire mortgage process. Founded by Guaranteed Rate President and CEO Victor Ciardelli, the company was formed when Guaranteed Rate acquired AI Foundry, a business unit of Kodak Alaris. The solutions provided by Gateless incorporate the latest in AI with patent-pending machine learning and machine-vision technology that help automate the mortgage process, increase productivity and lower costs.Guaranteed Rate (PRNewsfoto/Guaranteed Rate)CisionView original content to download multimedia:http://www.prnewswire.com/news-releases/new-mortgage-technology-company-gateless-inc-offers-powerful-solutions-through-artificial-intelligence-301241634.htmlSOURCE Guaranteed RateTRENDING 1. General Electric shares burn bright on recovery bets 2. The $1.9 trillion COVID-19 stimulus plan won't 'overheat' economy: Biden economic advisor 3. U.S., EU Agree to Suspend Tariffs in Boeing-Airbus Dispute 4. Norwegian cancellations spark Airbus jet order deficit 5. UPDATE 1-WHO says report on China mission on COVID-19 origins due in mid-March
Recommended StoriesBloombergOil Sands Give OPEC a Boost With Half-Million-Barrel Output Cut(Bloomberg) -- Major oil sands producers in Western Canada will idle almost half a million barrels a day of production next month, helping tighten global supplies as oil prices surge.Canadian Natural Resources Ltd.’s plans to conduct 30 days of maintenance at its Horizon oil sands upgrader in April will curtail roughly 250,000 barrels a day of light synthetic crude output, company President Tim McKay said in an interview Thursday. Work on the Horizon upgrader coincides with maintenance at other cites.Suncor Energy Inc. plans a major overhaul of its U2 crude upgrader, cutting output by 130,000 barrels a day over the entire second quarter. Syncrude Canada Ltd. will curb 70,000 barrels a day during the quarter because of maintenance in a unit.The supply cuts out of Northern Alberta, following a surprise OPEC+ decision to not increase output next month, could add more support to the recent rally in crude prices. OPEC+ had been debating whether to restore as much as 1.5 million barrels a day of output in April but decided to wait.The Saudi-led alliance closely monitors other major oil producers as it seeks to manage the entire global market, and surging production in North America was its biggest headache in recent years -- especially from U.S. shale but also from Canada.“The U.S., Saudi Arabia, Russia, Canada, Brazil and other well endowed countries with hydrocarbon reserves -- we need to work with each other, collaboratively,” Saudi Energy Minister Prince Abdulaziz bin Salman said after the group’s meeting on Thursday.Read More: Saudis Bet ‘Drill, Baby, Drill’ Is Over in Push for Pricier OilCanada’s contribution to balancing the market with less production, much like slowing output in the U.S., is not a deliberate market-management strategy but significant nonetheless.Even though the output cuts are short-term, the battered oil-sands industry shouldn’t be a concern for the Saudis in the long run either, judging from McKay’s outlook for the industry.“I can’t see much growth in the oil sands happening because there is going to be less demand in the future,” he said. “The first step is we have to get our carbon footprint down.”After years of rising output turned Canada into the world’s fourth-largest crude producer, expansion projects have nearly halted on the heels of two market crashes since 2014.Adding to its struggles, Canada’s oil industry is being shunned by some investors such as Norway’s $1.3 trillion wealth fund amid concern that the higher carbon emissions associated with oil sands extraction will worsen climate change. These forces help make future growth in the oil sands unlikely, said McKay, whose company is among the largest producers in the country.Oil sands upgraders turn the heavy bitumen produced in oil sands mines into light synthetic crude that’s similar to benchmarks West Texas Intermediate and Brent. Syncrude Sweet Premium for April gained 60 cents on Thursday to $1.50 a barrel premium to WTI, the strongest price since May, NE2 Group data show.For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.8h agoMoneyWiseHow stimulus checks can give you a $14,000 windfall this yearSome households are collecting a big pile of federal money in 2021.18h agoMoneyWiseJoe Biden's stimulus check changes: Do you still qualify for $1,400?The president has agreed to a compromise making millions ineligible for the third checks.20h agoFX EmpireStocks Tumble, Gold Dumps , Dollar Jumps Amid Treasury Yield Spike as Powell Signals Inflation is AheadPowell and his policymakers have until March 17 to regain control of monetary policy or they could face a creditability issue.22h agoMarketWatchBuy these 3 battery stocks to play the electric-vehicle party, but stay away from this company, says UBSDespite the recent selloff in electric-vehicle stocks like Tesla and Nio, there is still intense investor interest in the sector, with demand for electric-vehicles expected to climb dramatically over the next decades.2h agoInvestor's Business DailyGetting A Third Covid-19 Stimulus Check Just Got Tougher — But You Might Still Influence How Big Yours IsCongress is nearing passage of the third economic stimulus check it will send out to you and other taxpayers as part of its Covid-19 relief bill.3h agoBloombergTexas Regulators Decline to Reprice $16 Billion Market ‘Error’(Bloomberg) -- Texas regulators declined to rescind $16 billion in alleged overcharges for electricity during last month’s blackouts, leaving the state’s power market facing a potential financial crisis.“Decisions were made about these prices in real time based, on information available to everybody,” said Arthur D’Andrea, chair of the Public Utility Commission of Texas during a meeting Friday. “It is nearly impossible to unscramble this sort of egg.”The state’s independent market monitor had recommended that $16 billion in charges be reversed, saying that the Electric Reliability Council of Texas, known as Ercot, overpriced power for two days during the crisis.Retroactively adjusting those prices could have offered sweeping relief to companies facing astronomical bills in the wake of the grid emergency. With many generators crippled by the cold, electricity prices skyrocketed, squeezing anyone who had to buy power on the wholesale market. The grid operator now faces a $2.5 billion shortfall as more than a dozen companies face default. At least one utility has already filed for bankruptcy.While utility commissioners didn’t close the door repricing in the future, they didn’t embrace the idea.“Repricing the energy -- I would be more inclined to say we’re not going to do that,” said Commissioner Shelly Botkin. D’Andrea agreed, adding, “It looks like you’re protecting consumers. I promise you’re not.”The commission also declined to vote on a request to retroactively adjust the price of certain grid services during the emergency, a move that would have offered relief to distressed companied and potentially saved consumers $2 billion, according to the market monitor. So-called ancillary services, which help maintain the flow of electricity on the system, jumped above $20,000 a megawatt-hour during the crisis. Retail electricity providers and others had asked for those charges to be capped at $9,000.Texas’s biggest power generators have generally opposed any kind of repricing. But ahead of Friday’s meeting, Vistra Corp. told regulators in a filing that energy prices on Feb. 18 and 19 -- the days after the rolling outages ended -- should be changed “to an equitable calculation of the market clearing price.”“Vistra continues to believe that the Commission should not take an arbitrary, piecemeal approach to repricing,” the company said in its filing. “But acting without allowing all market participants to engage is likely to create another set of parties that will be adversely affected by the new pricing structure.”For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.3h agoLA TimesTexas watchdog says grid operator made $16-billion errorA firm hired to monitor Texas' power markets says the region's grid manager overpriced electricity over two days during last month's energy crisis, resulting in $16 billion in overcharges.16h agoMarketWatchVirgin Galactic chairman sold off more than $210 million worth of stock as prices plungedVirgin Galactic Holdings Inc. Chairman Chamath Palihapitiya sold off a chunk of his shares this week, and played a part of the plunge in prices.4h agoBloombergPortnoy-Backed ETF Sees Third-Highest Volume Ever in a Debut(Bloomberg) -- A new exchange-traded fund seeking to ride the companies most loved by investors online has found plenty of its own positive sentiment in its first day of trading.About $438 million worth of shares in the VanEck Vectors Social Sentiment ETF (ticker BUZZ) changed hands on Thursday, making it the third best ETF debut on record, according to data compiled by Bloomberg.“Normally, this kind of blow-the-roof-off volume for the first day is for ETFs that open up a new asset class like gold or Bitcoin,” said Eric Balchunas, ETF analyst for Bloomberg Intelligence.The fund, which has been promoted by Barstool Sports Inc. founder Dave Portnoy, follows an index that uses AI to scan online sources like blogs and social media to identify the 75 most favorably mentioned equities.Because of its criteria for inclusion, the hottest names among the day-trading crowd like GameStop Corp. and AMC Entertainment Holdings Inc. don’t actually make it into the gauge. Its top holdings currently are Ford Motor Co., Twitter Inc. and DraftKings Inc.Nonetheless, the rapid uptake suggests VanEck has succeeded in tapping into the increasingly powerful retail investing cohort.“Given the explosion of individual, younger retail traders, it makes sense to see a pile of volume,” said Dave Lutz, macro strategist at JonesTrading. “Whether it is the WSB crowd embracing Dave Portnoy’s marketing of the ETF, or institutions playing it to bet on the direction of the trend (or hedge) -- we won’t know for a bit. I suspect it’s a bit of both.”The fund opened at $24.40. It was down 1% at $24.15 at 12:02 p.m.(Updates with latest figures, analyst comments.)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.22h agoMarketWatchInvestors may have a ‘buy’ signal, as these big tech stocks have dropped up to 32% in only three weeksNow might be "a golden opportunity" to own the "secular tech winners" for the next 12 to 18 months, according to Wedbush analyst Daniel Ives.5h agoBarrons.comMortgage Rates Are Back Above 3%. Here’s Where They’re Headed Next.Mortgage rates have risen past a psychological benchmark for the first time since they fell to historic lows during the pandemic. The average rate on a 30-year fixed-rate mortgage increased to 3.02% this past week, according to Freddie Mac’s Primary Mortgage Market Survey—the first time since July that the rate has risen above 3%. “Since reaching a low point in January, mortgage rates have risen by more than 30 basis points,” wrote Freddie Mac’s chief economist, in a release.1d agoReutersGameStop spikes as investors eye cryptic tweet by shareholderGameStop shares closed up 6.4% at $131.93 after earlier hitting $147.87, their highest since a surge in the heavily shorted stock late last month. One analyst and some Twitter users pointed to a cryptic tweet by Ryan Cohen, a major shareholder of GameStop and founder of e-commerce firm Chewy.com, as a plausible reason for the move, although Reuters could not independently determine causation. The late afternoon rally in GameStop began roughly around the time that Cohen tweeted what appeared to be a screenshot with the puppet dog advertising mascot of Pets.com, a famous casualty of the dotcom bubble two decades ago.23h agoBenzingaTesla Should Sell Its Bitcoin and Buy Back Shares To Create 'Positive Momentum,' Says AnalystTesla Inc (NASDAQ: TSLA) could create a “positive momentum” if its sold its Bitcoin (CRYPTO: BTC) holdings and initiated a buyback of its stock, according to Gary Black, a private investor and former CEO of Aegon Asset Management. What Happened: Black aired his views on social media Thursday in a series of tweets. “Imagine the positive momentum [Tesla] would create if they announced the sale of their [Bitcoin] position, and authorized a [Tesla] stock buyback instead.” wrote Black. See also: How to Invest in Tesla Stock The investor acknowledged that the prospect was “unlikely” but shareholders would support such a move. Investors who say #btc has less risk than govt bonds or gold haven’t done their research. Govt bonds have ~2% risk, defined as monthly volatility of returns. Gold ~3% risk. US equities ~6% risk. #btc has ~20% risk, further out on the risk curve than almost any other asset class. pic.twitter.com/OjMyWYU0Oa — Gary Black (@garyblack00) March 4, 2021 According to Black, if you asked 100 institutional investors in the Elon Musk-led company if they would prefer to invest $1.5 billion of excess cash in BTC or in Tesla stock, 95/100 would choose the stock. Why It Matters: Black isn’t the only analyst crying foul over Tesla’s investment in BTC. Last month, GLJ Research analyst Gordon Johnson said the automaker had “run out of viable internal uses” of its capital. “We see this as a sign of desperation from a CEO whose company is facing real competition for the first time ever,” wrote Johnson. Tesla had purchased .5 billion worth of BTC in February, amid increased institutional support for the cryptocurrency. Jack Dorsey-led Square Inc (NASDAQ: SQ) and Tesla combined have spent over billion to buy 151,919 BTC. Those coins are worth almost $7.19 billion as of press time when BTC traded 6.99% lower at $47,347.62. MicroStrategy Incorporated (NASDAQ: MSTR) meanwhile holds 90,531 BTC, purchased at an average price of $2.171 billion, as of late February now worth about almost $4.286 billion. Price Action: Tesla shares fell 3.43% in after-hours trading on Thursday to $600.10 after closing 4.86% lower at $621.44. Click here to check out Benzinga’s EV Hub for the latest electric vehicles news. Latest Ratings for TSLA DateFirmActionFromTo Feb 2021Morgan StanleyMaintainsOverweight Feb 2021Piper SandlerMaintainsOverweight Jan 2021Deutsche BankMaintainsBuy View More Analyst Ratings for TSLA View the Latest Analyst Ratings See more from BenzingaClick here for options trades from BenzingaAnalyst Who Predicted ,000 Bitcoin Sees Key Metric Indicating 'March To 0,000'How Square's Purchase of Jay Z's Tidal Could Popularize Blockchain© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.14h agoBloombergBitcoin Could Reach $1 Million or More, Kraken CEO Says(Bloomberg) -- As the leader of crypto exchange Kraken, Jesse Powell is bound to be bullish on Bitcoin. Yet he’s projecting a disruptive future that would stretch the imagination of even the most ardent crypto fans.In a Bloomberg Television interview, Powell said Bitcoin could reach $1 million in the next decade, adding that supporters say it could eventually replace all of the major fiat currencies.“We can only speculate, but when you measure it in terms of dollars, you have to think it’s going to infinity,” he said. “The true believers will tell you that it’s going all the way to the moon, to Mars and eventually, will be the world’s currency.”The CEO also said San Francisco-based Kraken is considering going public, possibly next year.Extreme predictions are nothing new in the world of Bitcoin, where adherents stand to profit from convincing a wider audience that crypto is a legitimate asset class, rather than a speculative fad. The dollar remains the world’s reserve currency and is the benchmark for global trade, though its value has softened in the past year.Powell said Bitcoin bulls see it one day exceeding the combined market cap of the dollar, euro and other currencies.The dollar “is only 50 years old and it’s already showing extreme signs of weakness, and I think people will start measuring the price of things in terms of Bitcoin,” he said.The digital currency slipped 3% in early U.S. trading on Thursday, hovering around $49,000. Prices have surged almost 600% since the start of 2020 on the back of wider mainstream adoption, with bulls seeing it as both an inflation hedge and speculative asset.Critics argue that Bitcoin is in a giant, stimulus-fueled bubble destined to burst like the 2017 boom and bust cycle.Kraken benefits from higher prices as it reaps fees from increased trading. Bloomberg reported last month that the exchange was in talks to raise new funding, which would double the company’s valuation to more than $10 billion.“Personally, I think $10 billion is a low valuation,” Powell said. “I wouldn’t be interested in selling shares at that price.”The CEO did acknowledge the potential for wild market swings, saying prices can “move up or down 50% on any given day.” That kind of volatility has long been one of the negatives of Bitcoin, relegating the market to one of speculation, rather than a means of doing business.“If you are buying into Bitcoin out of speculation, you should be committed to holding for five years,” Powell said. “You have to have strong convictions to hold.”For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2021 Bloomberg L.P.1d agoMarketWatchThe Nasdaq may be close to the end of its correction, according to market-timers’ viewsStock-market timers, who as recently as two weeks ago were irrationally exuberant, have reacted to the market’s recent correction by beating a hasty retreat. Consider how quickly the Nasdaq-focused stock-market timers that my firm monitors have jumped on the bearish bandwagon. As recently as Feb. 12, their average recommended exposure level stood at 88.9%, which was higher than 97.9% of all daily readings since 2000.5h agoFX EmpireTesla Stock Update: Meltdown in Tesla Beginning as ForecastedIt appears the breakdown is underway, and this could turn into an outright collapse into mid-March.1d agoBarrons.comOil Prices Spike on OPEC Surprise. How to Play It.Oil prices shot as much as 5% higher on Thursday as OPEC and its allies agreed to extend most of their production cuts through April, a sign that high prices could be here to stay. Oil company stocks jumped, too, often much more than the commodity, because prices this high will give many of them operating leverage. Because capital costs are high in the industry, oil company margins expand considerably once prices rise above $50 and companies have fully paid for the cost of the equipment and labor they need to extract oil.23h agoBenzingaAnalyst Who Predicted $50,000 Bitcoin Sees Key Metric Indicating 'March To $100,000'Bitcoin (CRYPTO: BTC) may be headed for the $100,000 mark by the end of this month, according to Mike McGlone, a Bloomberg analyst. What Happened: McGlone, who previously ascribed a $50,000 plus level for the cryptocurrency, said in a March outlook report that if the Grayscale Bitcoin Trust (OTC: GBTC) closing at its steepest discount ever is an indicator, then it may “signal [Bitcoin’s] march to $100,000.” The Greyscale premium, a metric watched closely, ended February with a 2.7% discount. McGlone pointed to March 2017, when BTC backed up to nearly $1,000 on the way to its peak near $20,000 in December of that year. “Sharp reductions in the GBTC premium have often marked bottoms in Bitcoin,” wrote McGlone. See also: How to Buy Bitcoin (BTC) “The increasing probability of [exchange-traded] funds in the U.S., on the back of launches in Canada are adding pressure to the trust price, but we see sustaining the upward trajectory as the more likely outcome.” Bitcoin traded 8.48% lower at $47,120.70 at press time. GBTC closed 10.31% lower at $41.40 on Thursday. Why It Matters: The Grayscale premium is a reference to the difference between the value of the holdings of GBTC versus the market price of its holdings. McGlone also noted the increased replacement of Gold in portfolios with BTC. “In 2020, the benchmark crypto gained legitimacy with declining volatility vs. the opposite in most assets. In 2021, we see little to stop the process of old-guard gold allocators simply focusing on prudent diversification,” wrote the analyst. On Thursday, Kraken CEO Jesse Powell said that BTC could replace all of the world’s currencies and hit a million-dollar price target within the next ten years. “The younger demographic is certainly taking notice of it and they see it as a better version of gold,” said Powell. Read Next: 'Morons:' Crypto Enthusiasts Burn Banksy's Real Artwork To Turn It Into Digital Token See more from BenzingaClick here for options trades from BenzingaHow Square's Purchase of Jay Z's Tidal Could Popularize Blockchain'Morons:' Crypto Enthusiasts Burn Banksy's Real Artwork To Turn It Into Digital Token© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.15h agoYahoo FinanceHere comes Kanye West's Yeezy line at GapIt's full steam ahead for Kanye West's apparel line at Gap.5h agoMore Stories
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New Mortgage Technology Company Gateless, Inc. Offers Powerful Solutions Through Artificial Intelligence
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New Mortgage Technology Company Gateless, . Offers Powerful Solutions Through Artificial Intelligence HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Finance Premium Try free Yahoo Finance Sign Mail Sign view mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Future ScreenerFuture Screener Index ScreenerIndex Screener Premium Premium DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas BlogBlog Markets Markets CryptocurrenciesCryptocurrencies CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Cryptocurrency NewsCryptocurrency News Morning BriefMorning Brief Aarthi SwaminathanAarthi Swaminathan Adam ShapiroAdam Shapiro Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexis ChristoforousAlexis Christoforous Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brian CheungBrian Cheung Brian SozziBrian Sozzi Daniel HowleyDaniel Howley Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan WolffMannEthan WolffMann Ines FerrInes Ferr Javier E. 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Offers Powerful Solutions Through Artificial IntelligenceRead articleMarch 5, 2021, 1:31 PM2 min readInnovative Platform Revolutionizes Way Loans Are ProcessedWAKEFIELD, Mass., March 5, 2021 PRNewswire Guaranteed Rate, Americas 5 retail mortgage lenders, today announces formation Gateless, new visionary mortgage technology company provides industry efficient solutions innovate entire loan process.Gateless LogoGateless founded Victor Ciardelli, President CEO Guaranteed Rate, mission bring nextgeneration technology mortgage industry. Gateless recently received HousingWires 2021 Tech100 award finding quick success deployment technology solutions drive efficiency automation rapidly growing customer base. This early success led completion spinout separate company, conjunction Series A capital raise, led Ciardelli Thomas H. Lee Partners, L.P.Gateless founded accelerate innovation mortgage industry, said Ciardelli. With deep understanding mortgage process, collaborating Gateless use Artificial Intelligence dramatically streamline workflow. As result, weve able generate massive time savings cost efficiencies.Gateless brings nextgeneration Artificial Intelligence AI machine learning mortgage industry suite tools called AI Mortgage. AI Mortgage enhances performance reduces manual tasks automating key components loan process, document review filing. AI Mortgage uses visionbased technology substantially increase data accuracy productivity eliminating costly keyin errors.This endtoend solution designed fit seamlessly existing loan operating system, significantly reducing learning curve eliminating switching costs. On average, mortgage companies AI Mortgage loans application approval 10 days faster.Story continuesThis technology game changer, reducing friction involved loan manufacturing process, said Nik Athanasiou, Chief Operating Officer Guaranteed Rate, Gateless customer. By utilizing cuttingedge machine learning AI, built innovative products completely transform costly laborintensive tasks, automatically precisely. What took hours takes seconds able scale staffing constraints.To learn more, visit Gateless virtual booth Ellie Maes upcoming Experience 21 Conference March 8 16.About Gateless, . Gateless, innovative mortgage technology company, combines veteran industry expertise Artificial Intelligence AI create real, proven solutions span entire mortgage process. Founded Guaranteed Rate President CEO Victor Ciardelli, company formed Guaranteed Rate acquired AI Foundry, business unit Kodak Alaris. The solutions provided Gateless incorporate latest AI patentpending machine learning machinevision technology help automate mortgage process, increase productivity lower costs.Guaranteed Rate PRNewsfotoGuaranteed RateCisionView original content download multimedia: Guaranteed RateTRENDING 1. General Electric shares burn bright recovery bets 2. The 1.9 trillion COVID19 stimulus plan wont overheat economy: Biden economic advisor 3. U.S., EU Agree Suspend Tariffs BoeingAirbus Dispute 4. Norwegian cancellations spark Airbus jet order deficit 5. UPDATE 1WHO says report China mission COVID19 origins midMarch Recommended StoriesBloombergOil Sands Give OPEC Boost With HalfMillionBarrel Output CutBloomberg Major oil sands producers Western Canada idle half million barrels day production month, helping tighten global supplies oil prices surge.Canadian Natural Resources Ltd.s plans conduct 30 days maintenance Horizon oil sands upgrader April curtail roughly 250,000 barrels day light synthetic crude output, company President Tim McKay said interview Thursday. Work Horizon upgrader coincides maintenance cites.Suncor Energy . plans major overhaul U2 crude upgrader, cutting output 130,000 barrels day entire second quarter. Syncrude Canada Ltd. curb 70,000 barrels day quarter maintenance unit.The supply cuts Northern Alberta, following surprise OPEC decision increase output month, add support recent rally crude prices. OPEC debating restore 1.5 million barrels day output April decided wait.The Saudiled alliance closely monitors major oil producers seeks manage entire global market, surging production North America biggest headache recent years especially U.S. shale Canada.The U.S., Saudi Arabia, Russia, Canada, Brazil endowed countries hydrocarbon reserves need work other, collaboratively, Saudi Energy Minister Prince Abdulaziz bin Salman said groups meeting Thursday.Read More: Saudis Bet Drill, Baby, Drill Is Over Push Pricier OilCanadas contribution balancing market production, like slowing output U.S., deliberate marketmanagement strategy significant nonetheless.Even output cuts shortterm, battered oilsands industry shouldnt concern Saudis long run either, judging McKays outlook industry.I growth oil sands happening going demand future, said. The step carbon footprint down.After years rising output turned Canada worlds fourthlargest crude producer, expansion projects nearly halted heels market crashes 2014.Adding struggles, Canadas oil industry shunned investors Norways 1.3 trillion wealth fund amid concern higher carbon emissions associated oil sands extraction worsen climate change. These forces help future growth oil sands unlikely, said McKay, company largest producers country.Oil sands upgraders turn heavy bitumen produced oil sands mines light synthetic crude thats similar benchmarks West Texas Intermediate Brent. Syncrude Sweet Premium April gained 60 cents Thursday 1.50 barrel premium WTI, strongest price May, NE2 Group data show.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.8h agoMoneyWiseHow stimulus checks 14,000 windfall yearSome households collecting big pile federal money 2021.18h agoMoneyWiseJoe Bidens stimulus check changes: Do qualify 1,400?The president agreed compromise making millions ineligible checks.20h agoFX EmpireStocks Tumble, Gold Dumps , Dollar Jumps Amid Treasury Yield Spike Powell Signals Inflation AheadPowell policymakers March 17 regain control monetary policy face creditability issue.22h agoMarketWatchBuy 3 battery stocks play electricvehicle party, stay away company, says UBSDespite recent selloff electricvehicle stocks like Tesla Nio, intense investor sector, demand electricvehicles expected climb dramatically decades.2h agoInvestors Business DailyGetting A Third Covid19 Stimulus Check Just Got Tougher But You Might Still Influence How Big Yours IsCongress nearing passage economic stimulus check send taxpayers Covid19 relief bill.3h agoBloombergTexas Regulators Decline Reprice 16 Billion Market ErrorBloomberg Texas regulators declined rescind 16 billion alleged overcharges electricity months blackouts, leaving states power market facing potential financial crisis.Decisions prices real time based, information available everybody, said Arthur DAndrea, chair Public Utility Commission Texas meeting Friday. It nearly impossible unscramble sort egg.The states independent market monitor recommended 16 billion charges reversed, saying Electric Reliability Council Texas, known Ercot, overpriced power days crisis.Retroactively adjusting prices offered sweeping relief companies facing astronomical bills wake grid emergency. With generators crippled cold, electricity prices skyrocketed, squeezing buy power wholesale market. The grid operator faces 2.5 billion shortfall dozen companies face default. At utility filed bankruptcy.While utility commissioners didnt close door repricing future, didnt embrace idea.Repricing energy I inclined going that, said Commissioner Shelly Botkin. DAndrea agreed, adding, It looks like youre protecting consumers. I promise youre not.The commission declined vote request retroactively adjust price certain grid services emergency, offered relief distressed companied potentially saved consumers 2 billion, according market monitor. Socalled ancillary services, help maintain flow electricity system, jumped 20,000 megawatthour crisis. Retail electricity providers asked charges capped 9,000.Texass biggest power generators generally opposed kind repricing. But ahead Fridays meeting, Vistra Corp. told regulators filing energy prices Feb. 18 19 days rolling outages ended changed equitable calculation market clearing price.Vistra continues believe Commission arbitrary, piecemeal approach repricing, company said filing. But acting allowing market participants engage likely create set parties adversely affected new pricing structure.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.3h agoLA TimesTexas watchdog says grid operator 16billion errorA firm hired monitor Texas power markets says regions grid manager overpriced electricity days months energy crisis, resulting 16 billion overcharges.16h agoMarketWatchVirgin Galactic chairman sold 210 million worth stock prices plungedVirgin Galactic Holdings . Chairman Chamath Palihapitiya sold chunk shares week, played plunge prices.4h agoBloombergPortnoyBacked ETF Sees ThirdHighest Volume Ever DebutBloomberg A new exchangetraded fund seeking ride companies loved investors online plenty positive sentiment day trading.About 438 million worth shares VanEck Vectors Social Sentiment ETF ticker BUZZ changed hands Thursday, making best ETF debut record, according data compiled Bloomberg.Normally, kind blowtheroofoff volume day ETFs open new asset class like gold Bitcoin, said Eric Balchunas, ETF analyst Bloomberg Intelligence.The fund, promoted Barstool Sports . founder Dave Portnoy, follows index uses AI scan online sources like blogs social media identify 75 favorably mentioned equities.Because criteria inclusion, hottest names daytrading crowd like GameStop Corp. AMC Entertainment Holdings . dont actually gauge. Its holdings currently Ford Motor Co., Twitter . DraftKings .Nonetheless, rapid uptake suggests VanEck succeeded tapping increasingly powerful retail investing cohort.Given explosion individual, younger retail traders, makes sense pile volume, said Dave Lutz, macro strategist JonesTrading. Whether WSB crowd embracing Dave Portnoys marketing ETF, institutions playing bet direction trend hedge wont know bit. I suspect bit both.The fund opened 24.40. It 1 24.15 12:02 p.m.Updates latest figures, analyst comments.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.22h agoMarketWatchInvestors buy signal, big tech stocks dropped 32 weeksNow golden opportunity secular tech winners 12 18 months, according Wedbush analyst Daniel Ives.5h agoBarrons.comMortgage Rates Are Back Above 3. Heres Where Theyre Headed Next.Mortgage rates risen past psychological benchmark time fell historic lows pandemic. The average rate 30year fixedrate mortgage increased 3.02 past week, according Freddie Macs Primary Mortgage Market Surveythe time July rate risen 3. Since reaching low point January, mortgage rates risen 30 basis points, wrote Freddie Macs chief economist, release.1d agoReutersGameStop spikes investors eye cryptic tweet shareholderGameStop shares closed 6.4 131.93 earlier hitting 147.87, highest surge heavily shorted stock late month. One analyst Twitter users pointed cryptic tweet Ryan Cohen, major shareholder GameStop founder ecommerce firm , plausible reason move, Reuters independently determine causation. The late afternoon rally GameStop began roughly time Cohen tweeted appeared screenshot puppet dog advertising mascot , famous casualty dotcom bubble decades ago.23h agoBenzingaTesla Should Sell Its Bitcoin Buy Back Shares To Create Positive Momentum, Says AnalystTesla NASDAQ: TSLA create positive momentum sold Bitcoin CRYPTO: BTC holdings initiated buyback stock, according Gary Black, private investor CEO Aegon Asset Management. What Happened: Black aired views social media Thursday series tweets. Imagine positive momentum [Tesla] create announced sale [Bitcoin] position, authorized [Tesla] stock buyback instead. wrote Black. See also: How Invest Tesla Stock The investor acknowledged prospect unlikely shareholders support move. Investors btc risk govt bonds gold havent research. Govt bonds 2 risk, defined monthly volatility returns. Gold 3 risk. US equities 6 risk. btc 20 risk, risk curve asset class. pic.OjMyWYU0Oa Gary Black March 4, 2021 According Black, asked 100 institutional investors Elon Muskled company prefer invest 1.5 billion excess cash BTC Tesla stock, 95100 choose stock. Why It Matters: Black isnt analyst crying foul Teslas investment BTC. Last month, GLJ Research analyst Gordon Johnson said automaker run viable internal uses capital. We sign desperation CEO company facing real competition time ever, wrote Johnson. Tesla purchased .5 billion worth BTC February, amid increased institutional support cryptocurrency. Jack Dorseyled Square NASDAQ: SQ Tesla combined spent billion buy 151,919 BTC. Those coins worth 7.19 billion press time BTC traded 6.99 lower 47,347.62. MicroStrategy orporated NASDAQ: MSTR holds 90,531 BTC, purchased average price 2.171 billion, late February worth 4.286 billion. Price Action: Tesla shares fell 3.43 afterhours trading Thursday 600.10 closing 4.86 lower 621.44. Click check Benzingas EV Hub latest electric vehicles news. Latest Ratings TSLA DateFirmActionFromTo Feb 2021Morgan StanleyMaintainsOverweight Feb 2021Piper SandlerMaintainsOverweight Jan 2021Deutsche BankMaintainsBuy View More Analyst Ratings TSLA View Latest Analyst Ratings See BenzingaClick options trades BenzingaAnalyst Who Predicted ,000 Bitcoin Sees Key Metric Indicating March To 0,000How Squares Purchase Jay Zs Tidal Could Popularize Blockchain 2021 . Benzinga provide investment advice. .14h agoBloombergBitcoin Could Reach 1 Million More, Kraken CEO SaysBloomberg As leader crypto exchange Kraken, Jesse Powell bound bullish Bitcoin. Yet hes projecting disruptive future stretch imagination ardent crypto fans.In Bloomberg Television interview, Powell said Bitcoin reach 1 million decade, adding supporters eventually replace major fiat currencies.We speculate, measure terms dollars, think going infinity, said. The true believers tell going way moon, Mars eventually, worlds currency.The CEO said San Franciscobased Kraken considering going public, possibly year.Extreme predictions new world Bitcoin, adherents stand profit convincing wider audience crypto legitimate asset class, speculative fad. The dollar remains worlds reserve currency benchmark global trade, value softened past year.Powell said Bitcoin bulls day exceeding combined market cap dollar, euro currencies.The dollar 50 years old showing extreme signs weakness, I think people start measuring price things terms Bitcoin, said.The digital currency slipped 3 early U.S. trading Thursday, hovering 49,000. Prices surged 600 start 2020 wider mainstream adoption, bulls seeing inflation hedge speculative asset.Critics argue Bitcoin giant, stimulusfueled bubble destined burst like 2017 boom bust cycle.Kraken benefits higher prices reaps fees increased trading. Bloomberg reported month exchange talks raise new funding, double companys valuation 10 billion.Personally, I think 10 billion low valuation, Powell said. I wouldnt interested selling shares price.The CEO acknowledge potential wild market swings, saying prices 50 given day. That kind volatility long negatives Bitcoin, relegating market speculation, means business.If buying Bitcoin speculation, committed holding years, Powell said. You strong convictions hold.For articles like this, visit bloomberg.com stay ahead trusted business news source.2021 Bloomberg L.P.1d agoMarketWatchThe Nasdaq close end correction, according markettimers viewsStockmarket timers, recently weeks ago irrationally exuberant, reacted markets recent correction beating hasty retreat. Consider quickly Nasdaqfocused stockmarket timers firm monitors jumped bearish bandwagon. As recently Feb. 12, average recommended exposure level stood 88.9, higher 97.9 daily readings 2000.5h agoFX EmpireTesla Stock Update: Meltdown Tesla Beginning ForecastedIt appears breakdown underway, turn outright collapse midMarch.1d agoBarrons.comOil Prices Spike OPEC Surprise. How Play It.Oil prices shot 5 higher Thursday OPEC allies agreed extend production cuts April, sign high prices stay. Oil company stocks jumped, too, commodity, prices high operating leverage. Because capital costs high industry, oil company margins expand considerably prices rise 50 companies fully paid cost equipment labor need extract oil.23h agoBenzingaAnalyst Who Predicted 50,000 Bitcoin Sees Key Metric Indicating March To 100,000Bitcoin CRYPTO: BTC headed 100,000 mark end month, according Mike McGlone, Bloomberg analyst. What Happened: McGlone, previously ascribed 50,000 plus level cryptocurrency, said March outlook report Grayscale Bitcoin Trust OTC: GBTC closing steepest discount indicator, signal [Bitcoins] march 100,000. The Greyscale premium, metric watched closely, ended February 2.7 discount. McGlone pointed March 2017, BTC backed nearly 1,000 way peak near 20,000 December year. Sharp reductions GBTC premium marked bottoms Bitcoin, wrote McGlone. See also: How Buy Bitcoin BTC The increasing probability [exchangetraded] funds U.S., launches Canada adding pressure trust price, sustaining upward trajectory likely outcome. Bitcoin traded 8.48 lower 47,120.70 press time. GBTC closed 10.31 lower 41.40 Thursday. Why It Matters: The Grayscale premium reference difference value holdings GBTC versus market price holdings. McGlone noted increased replacement Gold portfolios BTC. In 2020, benchmark crypto gained legitimacy declining volatility vs. opposite assets. In 2021, little stop process oldguard gold allocators simply focusing prudent diversification, wrote analyst. On Thursday, Kraken CEO Jesse Powell said BTC replace worlds currencies hit milliondollar price target years. The younger demographic certainly taking notice better version gold, said Powell. Read Next: Morons: Crypto Enthusiasts Burn Banksys Real Artwork To Turn It Into Digital Token See BenzingaClick options trades BenzingaHow Squares Purchase Jay Zs Tidal Could Popularize BlockchainMorons: Crypto Enthusiasts Burn Banksys Real Artwork To Turn It Into Digital Token 2021 . Benzinga provide investment advice. .15h agoYahoo FinanceHere comes Kanye Wests Yeezy line GapIts steam ahead Kanye Wests apparel line Gap.5h agoMore Stories
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https://finance.yahoo.com/news/nvidia-instant-nerf-artificial-intelligence-130015116.html
| 2022-03-25T00:00:00 |
en
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NVIDIA's NeRF AI instantly turns 2D photos into 3D objects
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NVIDIA's NeRF AI instantly turns 2D photos into 3D objects HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Yahoo Finance Sign in Mail Sign in to view your mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Cryptocurrencies Cryptocurrencies Yahoo Finance Plus Yahoo Finance Plus DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas Community InsightsCommunity Insights BlogBlog Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Markets Markets CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Cryptocurrency NewsCryptocurrency News Morning BriefMorning Brief Bidenomics Report CardBidenomics Report Card Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexandra CanalAlexandra Canal Alexandra SemenovaAlexandra Semenova Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brad SmithBrad Smith Brian CheungBrian Cheung Brian SozziBrian Sozzi Brooke DiPalmaBrooke DiPalma Dani RomeroDani Romero Daniel HowleyDaniel Howley Dave BriggsDave Briggs David HollerithDavid Hollerith Ella VincentElla Vincent Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan Wolff-MannEthan Wolff-Mann Ines FerréInes Ferré Jared BlikreJared Blikre Jennifer SchonbergerJennifer Schonberger Julie HymanJulie Hyman Kerry HannonKerry Hannon Max ZahnMax Zahn Michael KelleyMichael Kelley Pras SubramanianPras Subramanian Rick NewmanRick Newman Ronda LeeRonda Lee Seana SmithSeana Smith Sheila BairSheila Bair Stephanie AsymkosStephanie Asymkos Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes RatesRates Broker CenterBroker Center Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers with Andy SerwerInfluencers with Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U A Time for ChangeA Time for Change SpotlightSpotlight Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Crypto CornerCrypto Corner FA CornerFA Corner Women and MoneyWomen and Money America: Back in BusinessAmerica: Back in Business Yahoo U Yahoo U Industries Industries Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Contact Us Contact Us ……
U.S. markets close in 5 hours 58 minutesS&P 5004,522.40+2.24 (+0.05%) Dow 3034,790.48+82.54 (+0.24%) Nasdaq14,131.63-60.21 (-0.42%) Russell 20002,073.31-2.14 (-0.10%) Crude Oil110.66-1.68 (-1.50%) Gold1,949.90-12.30 (-0.63%) Silver25.60-0.32 (-1.23%) EUR/USD1.1023+0.0022 (+0.20%) 10-Yr Bond2.4420+0.1010 (+4.31%) GBP/USD1.3191+0.0004 (+0.03%) USD/JPY122.1200-0.2000 (-0.16%) BTC-USD44,950.16+1,948.75 (+4.53%) CMC Crypto 2001,034.12+18.59 (+1.83%) FTSE 1007,492.29+24.91 (+0.33%) Nikkei 22528,149.84+39.45 (+0.14%) EngadgetNVIDIA's NeRF AI instantly turns 2D photos into 3D objectsRead full articleMariella Moon·Associate EditorMarch 25, 2022, 9:00 AM·2 min read NVIDIAA new technology called Neural Radiance Field or NeRF involves training AI algorithms to enable the creation of 3D objects from two-dimensional photos. NeRF has the capability to fill in the blanks, so to speak, by interpolating what the 2D photos didn't capture. It's a neat trick that could lead to advances in various fields, such as video games and autonomous driving. Now, NVIDIA has developed a new NeRF technique — the fastest one to date, the company claims — that only needs seconds to train and to generate a 3D scene.It only takes seconds to train the model, called Instant NeRF, using dozens of still photos and the camera angles they were taken from. After that, it's capable of generating a 3D scene within just "tens of milliseconds." Like other NeRF techniques, it requires images taken from multiple positions. And for photos with multiple subjects, pictures taken without too much motion is preferred, otherwise the result would be blurry.Check out Instant NeRF in action below:NVIDIA explains that early NeRF models don't take too long to produce results either. It only takes them a few minutes to render a 3D scene, even if the subject in some of the images is obstructed by things, such as pillars and furniture. However, training them took hours. NVIDIA's version only takes seconds to train, because it relies on a technique the company developed called multi-resolution hash grid encoding that's optimized to run efficiently on its GPUs. It can even run on a single GPU, though it's fastest on cards with tensor cores that provide a performance boost for artificial intelligence.The company believes that Instant NeRF could be used to train robots and to help autonomous driving systems understand the sizes and shapes of real-world objects. NVIDIA also sees a future for the technique in entertainment and architecture, where it can be used a way to generate 3D models of real environments that creators can modify during the planning process.
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NVIDIA's NeRF AI instantly turns 2D photos into 3D objects
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NVIDIAs NeRF AI instantly turns 2D photos 3D objects HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Yahoo Finance Sign Mail Sign view mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Cryptocurrencies Cryptocurrencies Yahoo Finance Plus Yahoo Finance Plus DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas Community InsightsCommunity Insights BlogBlog Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Markets Markets CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Cryptocurrency NewsCryptocurrency News Morning BriefMorning Brief Bidenomics Report CardBidenomics Report Card Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexandra CanalAlexandra Canal Alexandra SemenovaAlexandra Semenova Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brad SmithBrad Smith Brian CheungBrian Cheung Brian SozziBrian Sozzi Brooke DiPalmaBrooke DiPalma Dani RomeroDani Romero Daniel HowleyDaniel Howley Dave BriggsDave Briggs David HollerithDavid Hollerith Ella VincentElla Vincent Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan WolffMannEthan WolffMann Ines FerrInes Ferr Jared BlikreJared Blikre Jennifer SchonbergerJennifer Schonberger Julie HymanJulie Hyman Kerry HannonKerry Hannon Max ZahnMax Zahn Michael KelleyMichael Kelley Pras SubramanianPras Subramanian Rick NewmanRick Newman Ronda LeeRonda Lee Seana SmithSeana Smith Sheila BairSheila Bair Stephanie AsymkosStephanie Asymkos Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes RatesRates Broker CenterBroker Center Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers Andy SerwerInfluencers Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U A Time ChangeA Time Change SpotlightSpotlight Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Crypto CornerCrypto Corner FA CornerFA Corner Women MoneyWomen Money America: Back BusinessAmerica: Back Business Yahoo U Yahoo U Industries Industries Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Us Us U.S. markets close 5 hours 58 minutesSP 5004,522.402.24 0.05Dow 3034,790.4882.54 0.24Nasdaq14,131.6360.21 0.42Russell 20002,073.312.14 0.10Crude Oil110.661.68 1.50Gold1,949.9012.30 0.63Silver25.600.32 1.23EURUSD1.10230.0022 0.2010Yr Bond2.44200.1010 4.31GBPUSD1.31910.0004 0.03USDJPY122.12000.2000 0.16BTCUSD44,950.161,948.75 4.53CMC Crypto 2001,034.1218.59 1.83FTSE 1007,492.2924.91 0.33Nikkei 22528,149.8439.45 0.14EngadgetNVIDIAs NeRF AI instantly turns 2D photos 3D objectsRead articleMariella MoonAssociate EditorMarch 25, 2022, 9:00 AM2 min read NVIDIAA new technology called Neural Radiance Field NeRF involves training AI algorithms enable creation 3D objects twodimensional photos. NeRF capability blanks, speak, interpolating 2D photos didnt capture. Its neat trick lead advances fields, video games autonomous driving. Now, NVIDIA developed new NeRF technique fastest date, company claims needs seconds train generate 3D scene.It takes seconds train model, called Instant NeRF, dozens photos camera angles taken from. After that, capable generating 3D scene tens milliseconds. Like NeRF techniques, requires images taken multiple positions. And photos multiple subjects, pictures taken motion preferred, result blurry.Check Instant NeRF action below:NVIDIA explains early NeRF models dont long produce results either. It takes minutes render 3D scene, subject images obstructed things, pillars furniture. However, training took hours. NVIDIAs version takes seconds train, relies technique company developed called multiresolution hash grid encoding thats optimized run efficiently GPUs. It run single GPU, fastest cards tensor cores provide performance boost artificial intelligence.The company believes Instant NeRF train robots help autonomous driving systems understand sizes shapes realworld objects. NVIDIA sees future technique entertainment architecture, way generate 3D models real environments creators modify planning process. 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SoftBank interviewed investment banks Arms IPO weeks asked commit providing credit line commitments, sources said.19h agoThe TelegraphThe Wellspring endearingly cranky reallife fatherandson dramaTheres faintly courageous The Wellspring, lowkey live sharing baring fatherson relationship.1h agoEngadgetThe USPS doubling order nextgen electric mail trucksAfter initially ordering 5,000 allelectric models nextgen postal truck, USPS doubled number 10,000 vehicles.21h agoPeopleChristie Brinkley Shares Secrets Her Gorgeous Hamptons Garden Admits One Major MistakeThe greenthumbed supermodel tells PEOPLE exactly shes growing, organically1h agoPanama City News HeraldLETTER: Congress convert oilcompanies utility companiesChanging oil companies nonprofit utility companies reduce gas prices, stimulate economy U.S. energy independent.1h agoGOBankingRates7 Reasons You Might Not Receive Social Security BenefitsSocial Security lifeline millions retirees older Americans workforce. 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] | 1 | 196,933 |
https://finance.yahoo.com/news/worldwide-ai-training-dataset-market-083800409.html
| 2022-07-08T00:00:00 |
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Worldwide AI Training Dataset Market (2022 to 2030) - Projected CAGR of 22.2% During the Forecast Period
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Worldwide AI Training Dataset Market (2022 to 2030) - Projected CAGR of 22.2% During the Forecast Period HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Yahoo Finance Sign in Mail Sign in to view your mail Finance Finance Watchlists Watchlists My Portfolio My Portfolio Cryptocurrencies Cryptocurrencies Yahoo Finance Plus Yahoo Finance Plus DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas Community InsightsCommunity Insights WebinarsWebinars BlogBlog Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Markets Markets CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News PoliticsPolitics Stock Market NewsStock Market News Crypto NewsCrypto News Economic NewsEconomic News Morning BriefMorning Brief Bidenomics Report CardBidenomics Report Card Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexandra CanalAlexandra Canal Alexandra GarfinkleAlexandra Garfinkle Alexandra SemenovaAlexandra Semenova Alexis KeenanAlexis Keenan Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brad SmithBrad Smith Brian CheungBrian Cheung Brian SozziBrian Sozzi Brooke DiPalmaBrooke DiPalma Dani RomeroDani Romero Daniel HowleyDaniel Howley Dave BriggsDave Briggs David HollerithDavid Hollerith Dylan CrollDylan Croll Ella VincentElla Vincent Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan Wolff-MannEthan Wolff-Mann Ines FerréInes Ferré Jared BlikreJared Blikre Jennifer SchonbergerJennifer Schonberger Julie HymanJulie Hyman Kerry HannonKerry Hannon Luke Carberry MoganLuke Carberry Mogan Marquise FrancisMarquise Francis Michael KelleyMichael Kelley Pras SubramanianPras Subramanian Rachelle AkuffoRachelle Akuffo Rebecca ChenRebecca Chen Rick NewmanRick Newman Ronda LeeRonda Lee Seana SmithSeana Smith Sheila BairSheila Bair Yaseen ShahYaseen Shah Personal Finance Personal Finance HomeHome My MoneyMy Money RetirementRetirement TaxesTaxes RatesRates Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers with Andy SerwerInfluencers with Andy Serwer Yahoo Finance PresentsYahoo Finance Presents Yahoo UYahoo U SpotlightSpotlight Yahoo Finance All Markets SummitYahoo Finance All Markets Summit EventsEvents ETF ReportETF Report DavosDavos Crypto CornerCrypto Corner FA CornerFA Corner America: Back in BusinessAmerica: Back in Business Yahoo U Yahoo U Industries Industries Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Futures ScreenerFutures Screener Index ScreenerIndex Screener Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo Contact Us Contact Us ……
U.S. markets open in 3 hours 42 minutesS&P Futures3,891.00-14.00 (-0.36%) Dow Futures31,289.00-78.00 (-0.25%) Nasdaq Futures12,074.25-64.25 (-0.53%) Russell 2000 Futures1,764.30-5.90 (-0.33%) Crude Oil102.46-0.27 (-0.26%) Gold1,735.60-4.10 (-0.24%) Silver19.05-0.14 (-0.75%) EUR/USD1.0122-0.0044 (-0.44%) 10-Yr Bond3.00800.0000 (0.00%) Vix26.39-0.34 (-1.27%) GBP/USD1.1945-0.0078 (-0.65%) USD/JPY135.8770-0.1320 (-0.10%) BTC-USD21,477.99+969.87 (+4.73%) CMC Crypto 200463.63+19.31 (+4.35%) FTSE 1007,156.93-32.15 (-0.45%) Nikkei 22526,517.19+26.66 (+0.10%) GlobeNewswireWorldwide AI Training Dataset Market (2022 to 2030) - Projected CAGR of 22.2% During the Forecast PeriodRead full articleResearch and MarketsJuly 8, 2022, 2:38 AM·4 min readCompany LogoGlobal AI Training Dataset MarketGlobal AI Training Dataset MarketDublin, July 08, 2022 (GLOBE NEWSWIRE) -- The "AI Training Dataset Market Size, Share & Trends Analysis Report by Type (Text, Image/Video, Audio), by Vertical (IT, Automotive, Government, Healthcare, BFSI), by Regions, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering. The global AI training dataset market size is expected to reach USD 8,607.1 million by 2030. The market is anticipated to expand at a CAGR of 22.2% from 2022 to 2030. Artificial intelligence technology is proliferating. As organizations are transitioning towards automation, the demand for technology is rising. The technology has provided unprecedented advances across various industry verticals, including marketing, healthcare, logistics, transportation, and many others. The benefits of integrating the technology across multiple operations of the organizations have outweighed its costs, thereby driving adoption.Due to the rapid adoption of artificial intelligence technology, the need for training datasets is rising exponentially. To make the technology more versatile and accurate with its predictions, many companies are entering the market by releasing various datasets operating across different use cases to train the machine learning algorithm. Such factors are substantially contributing to market growth. Prominent market participants such as Google, Microsoft, Apple Inc, and Amazon have been focusing on developing various artificial intelligence training datasets. For instance, in September 2021, Amazon launched a new dataset of commonsense dialogue to aid research in open-domain conversation.Factors such as the cultivation of new high-quality datasets to speed up the development of AI technology and deliver accurate results are driving the market growth. For instance, in January 2019, IBM Corporation, a technology company, announced the release of a new dataset that comprises 1 million images of faces. This dataset was released to help developers train their face recognition systems supported by artificial intelligence technology with a diverse dataset. This dataset will allow them to increase the accuracy of face identification. For instance, in May 2021, IBM launched a new data set called CodeNet with 14 million sample sets to develop machine learning models that can help in programming tasks.AI Training Dataset Market Report HighlightsIncreasing the creation of synthetic training data for unsupervised and supervised training of machine learning algorithms is driving the adoption of datasets by organizations thereby catalyzing market growth.The image/video segment is expected to portray a high growth rate, with a CAGR of approximately 25.0% over the projected period.In the Asia Pacific, the market is expected to have significant growth over the forecast period, owing to the substantial adoption of AI technology.Key Topics Covered: Chapter 1 Methodology and ScopeChapter 2 Executive Summary2.1 Market Outlook2.2 Segmental Outlook2.2.1 Type2.2.2 VerticalChapter 3 AI Training Dataset Market Variables, Trends & Scope3.1 Market Segmentation & Scope3.2 AI Training Dataset Market Penetration and Growth Prospects3.3 AI Training Dataset-Process Flow and Value Chain Analysis3.4 Market Dynamics3.4.1 Market Drivers3.4.1.1 Rapid growth of AI and machine learning3.4.1.2 Growing applications of training dataset across diversified industry verticals3.4.2 Market Restraints3.4.2.1 Lack of technological adoption in developing regions3.5 Industry Analysis-Porter's Five Forces3.5.1 Supplier Power: Low3.5.2 Buyer Power3.5.3 Substitution Threat3.5.4 Threat from new entrant3.5.5 Competitive rivalry3.6 AI Training Dataset-PEST Analysis3.6.1 Political3.6.2 Economic3.6.3 Social3.6.4 TechnologicalChapter 4 AI Training Dataset: Type Estimates and Trend AnalysisChapter 5 AI Training Dataset: Vertical Estimates and Trend AnalysisChapter 6 AI Training Dataset: Regional Estimates & Trend Analysis6.1 AI training dataset market share by region, 2021 & 20306.2 North America6.3 Europe6.4 Asia Pacific6.5 South America6.6 MEAChapter 7 Competitive Landscape7.1 Google, LLC (Kaggle)7.2 Appen Limited7.3 Cogito Tech LLC7.4 Lionbridge Technologies, Inc.7.5 Amazon Web Services, Inc.7.6 Microsoft Corporation7.7 Scale AI, Inc.7.8 Samasource Inc.7.9 Alegion7.10 Deep Vision DataCompanies Mentioned Google, LLC (Kaggle)Appen LimitedCogito Tech LLCLionbridge Technologies, Inc.Amazon Web Services, Inc.Microsoft CorporationScale AI, Inc.Samasource Inc.AlegionDeep Vision DataFor more information about this report visit https://www.researchandmarkets.com/r/b28bdlAttachmentGlobal AI Training Dataset MarketCONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
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Worldwide AI Training Dataset Market (2022 to 2030)
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Worldwide AI Training Dataset Market 2022 2030 Projected CAGR 22.2 During Forecast Period HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... 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The global AI training dataset market size expected reach USD 8,607.1 million 2030. The market anticipated expand CAGR 22.2 2022 2030. Artificial intelligence technology proliferating. As organizations transitioning automation, demand technology rising. The technology provided unprecedented advances industry verticals, including marketing, healthcare, logistics, transportation, others. The benefits integrating technology multiple operations organizations outweighed costs, driving adoption.Due rapid adoption artificial intelligence technology, need training datasets rising exponentially. To technology versatile accurate predictions, companies entering market releasing datasets operating different use cases train machine learning algorithm. Such factors substantially contributing market growth. Prominent market participants Google, Microsoft, Apple , Amazon focusing developing artificial intelligence training datasets. For instance, September 2021, Amazon launched new dataset commonsense dialogue aid research opendomain conversation.Factors cultivation new highquality datasets speed development AI technology deliver accurate results driving market growth. For instance, January 2019, IBM Corporation, technology company, announced release new dataset comprises 1 million images faces. This dataset released help developers train face recognition systems supported artificial intelligence technology diverse dataset. This dataset allow increase accuracy face identification. For instance, May 2021, IBM launched new data set called CodeNet 14 million sample sets develop machine learning models help programming tasks.AI Training Dataset Market Report Highlightsreasing creation synthetic training data unsupervised supervised training machine learning algorithms driving adoption datasets organizations catalyzing market growth.The imagevideo segment expected portray high growth rate, CAGR approximately 25.0 projected period.In Asia Pacific, market expected significant growth forecast period, owing substantial adoption AI technology.Key Topics Covered: Chapter 1 Methodology ScopeChapter 2 Executive Summary2.1 Market Outlook2.2 Segmental Outlook2.2.1 Type2.2.2 VerticalChapter 3 AI Training Dataset Market Variables, Trends Scope3.1 Market Segmentation Scope3.2 AI Training Dataset Market Penetration Growth Prospects3.3 AI Training DatasetProcess Flow Value Chain Analysis3.4 Market Dynamics3.4.1 Market Drivers3.4.1.1 Rapid growth AI machine learning3.4.1.2 Growing applications training dataset diversified industry verticals3.4.2 Market Restraints3.4.2.1 Lack technological adoption developing regions3.5 Industry AnalysisPorters Five Forces3.5.1 Supplier Power: Low3.5.2 Buyer Power3.5.3 Substitution Threat3.5.4 Threat new entrant3.5.5 Competitive rivalry3.6 AI Training DatasetPEST Analysis3.6.1 Political3.6.2 Economic3.6.3 Social3.6.4 TechnologicalChapter 4 AI Training Dataset: Type Estimates Trend AnalysisChapter 5 AI Training Dataset: Vertical Estimates Trend AnalysisChapter 6 AI Training Dataset: Regional Estimates Trend Analysis6.1 AI training dataset market share region, 2021 20306.2 North America6.3 Europe6.4 Asia Pacific6.5 South America6.6 MEAChapter 7 Competitive Landscape7.1 Google, LLC Kaggle7.2 Appen Limited7.3 Cogito Tech LLC7.4 Lionbridge Technologies, .7.5 Amazon Web Services, .7.6 Microsoft Corporation7.7 Scale AI, .7.8 Samasource .7.9 Alegion7.10 Deep Vision DataCompanies Mentioned Google, LLC KaggleAppen LimitedCogito Tech LLCLionbridge Technologies, .Amazon Web Services, .Microsoft CorporationScale AI, .Samasource .AlegionDeep Vision DataFor information report visit AI Training Dataset MarketCONTACT: CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 TRENDING 1. 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Artificial Intelligence in Manufacturing and Supply Chain Market Expert Guide to Boost the Industry in Global Market Share – Food & Beverage Herald
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Artificial Intelligence in Manufacturing and Supply Chain Market Expert Guide to Boost the Industry in Global Market Share – Food & Beverage Herald
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You are hereHome2020April22Artificial Intelligence in Manufacturing and Supply Chain Market Expert Guide to Boost the Industry in Global Market Share
Artificial Intelligence in Manufacturing and Supply Chain Market Expert Guide to Boost the Industry in Global Market Share
April 22, 2020 Alex Artificial Intelligence in Manufacturing and Supply Chain Market, Artificial Intelligence in Manufacturing and Supply Chain Market analysis, Artificial Intelligence in Manufacturing and Supply Chain Market forecast, Artificial Intelligence in Manufacturing and Supply Chain Market players, Artificial Intelligence in Manufacturing and Supply Chain Market scope, Artificial Intelligence in Manufacturing and Supply Chain Market share, Artificial Intelligence in Manufacturing and Supply Chain Market size, Artificial Intelligence in Manufacturing and Supply Chain Market trends
Global Artificial Intelligence in Manufacturing and Supply Chain Market research report gives a comprehensive outlook of the markets 2019-2025 and offers an in-depth summary of the current market status, historic, and expected way forward for the Artificial Intelligence in Manufacturing and Supply Chain Market. Additionally, to this, the report provides data on the restraints negatively impacting the market’s growth. The report includes valuable information to assist new entrants, as well as established players, to understand the prevailing trends in the Market.
Download Free Sample Copy of Artificial Intelligence in Manufacturing and Supply Chain Market Report: https://dataintelo.com/request-sample/?reportId=94712
Key Objectives of Artificial Intelligence in Manufacturing and Supply Chain Market Report:– Study of the annual revenues and market developments of the major players that supply Artificial Intelligence in Manufacturing and Supply Chain– Analysis of the demand for Artificial Intelligence in Manufacturing and Supply Chain by component– Assessment of future trends and growth of architecture in the Artificial Intelligence in Manufacturing and Supply Chain Market– Assessment of the Artificial Intelligence in Manufacturing and Supply Chain Market with respect to the type of application– Study of the market trends in various regions and countries, by component, of the Artificial Intelligence in Manufacturing and Supply Chain Market– Study of contracts and developments related to the Artificial Intelligence in Manufacturing and Supply Chain Market by key players across different regions– Finalization of overall market sizes by triangulating the supply-side data, which includes product developments, supply chain, and annual revenues of companies supplying Artificial Intelligence in Manufacturing and Supply Chain across the globe
Major Players included in this report are as follows –IBMMicrosoftOracleGoogleSASSAP SESiemensSalesforceCambridge AnalyticaCivis AnalyticsRapidMiner
Artificial Intelligence in Manufacturing and Supply Chain Market can be segmented into Product Types as –On-premiseCloud-based
Artificial Intelligence in Manufacturing and Supply Chain Market can be segmented into Applications as –AutomotiveAerospaceChemicalsBuilding ConstructionOthers
To Buy this report, Visit https://dataintelo.com/checkout/?reportId=94712
Artificial Intelligence in Manufacturing and Supply Chain Market: Regional analysis includes:Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)Europe (Turkey, Germany, Russia UK, Italy, France, etc.)North America (United States, Mexico, and Canada.)South America (Brazil etc.)The Middle East and Africa (GCC Countries and Egypt.)
Target Audience:– Artificial Intelligence in Manufacturing and Supply Chain Equipment Manufacturers– Traders, Importers, and Exporters– Raw Material Suppliers and Distributors– Research and Consulting Firms– Government and Research Organizations– Associations and Industry Bodies
Stakeholders, marketing executives and business owners planning to refer a market research report can use this study to design their offerings and understand how competitors attract their potential customers and manage their supply and distribution channels. When tracking the trends researchers have made a conscious effort to analyse and interpret the consumer behaviour. Besides, the research helps product owners to understand the changes in culture, target market as well as brands so they can draw the attention of the potential customers more effectively.
Customize Report and Inquiry for The Artificial Intelligence in Manufacturing and Supply Chain Market Report: https://dataintelo.com/enquiry-before-buying/?reportId=94712
Report structure:In the recently published report, DataIntelo.com has provided a unique insight into the Artificial Intelligence in Manufacturing and Supply Chain Industry over the forecasted period. The report has covered the significant aspects which are contributing to the growth of the global Artificial Intelligence in Manufacturing and Supply Chain Market. The primary objective of this report is to highlight the various key market dynamics listed as drivers, trends, and restraints.
These market dynamics have the potential to impact the global Artificial Intelligence in Manufacturing and Supply Chain Market. This report has provided the detailed information to the audience about the way Artificial Intelligence in Manufacturing and Supply Chain industry has been heading since past few months and how it is going to take a shape in the years to come.
DataIntelo has offered a comprehensive analysis of the Artificial Intelligence in Manufacturing and Supply Chain industry. The report has provided crucial information about the elements that are impacting and driving the sales of the Artificial Intelligence in Manufacturing and Supply Chain Market. The section of competitive landscape keeps utmost importance in the reports published by DataIntelo. Competitive landscape section consists of key market players functioning in the worldwide industry of Artificial Intelligence in Manufacturing and Supply Chain.
The report has also analysed the changing trends in the industry. Several macroeconomic factors such as Gross domestic product (GDP) and the increasing inflation rate is expected to affect directly or indirectly in the development of the Artificial Intelligence in Manufacturing and Supply Chain Market.
Table of Contents1 Industry Overview of Artificial Intelligence in Manufacturing and Supply Chain2 Manufacturing Cost Structure Analysis3 Development and Manufacturing Plants Analysis of Artificial Intelligence in Manufacturing and Supply Chain4 Key Figures of Major Manufacturers5 Artificial Intelligence in Manufacturing and Supply Chain Regional Market Analysis6 Artificial Intelligence in Manufacturing and Supply Chain Segment Market Analysis (by Type)7 Artificial Intelligence in Manufacturing and Supply Chain Segment Market Analysis (by Application)8 Artificial Intelligence in Manufacturing and Supply Chain Major Manufacturers Analysis9 Development Trend of Analysis of Artificial Intelligence in Manufacturing and Supply Chain Market10 Marketing Channel11 Market Dynamics12 Conclusion13 Appendix
Ask for Discount on Artificial Intelligence in Manufacturing and Supply Chain Market Report at: https://dataintelo.com/ask-for-discount/?reportId=94712
About DataIntelo:DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports.
Contact Info –DataInteloName – Alex MathewsEmail – [email protected]Website – https://dataintelo.comAddress – 500 East E Street, Ontario, CA 91764, United States.
This post was originally published on Food and Beverage Herald
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Artificial Intelligence Manufacturing Supply Chain Market Expert Guide Boost Industry Global Market Share Food Beverage Herald Skip content Wednesday, April 22, 2020 Our Staff Us Food Beverage Herald Market Research Reports Herald General News Industry Analysis Market Analysis Market Report Market Updates Us You hereHome2020April22Artificial Intelligence Manufacturing Supply Chain Market Expert Guide Boost Industry Global Market Share Artificial Intelligence Manufacturing Supply Chain Market Expert Guide Boost Industry Global Market Share April 22, 2020 Alex Artificial Intelligence Manufacturing Supply Chain Market, Artificial Intelligence Manufacturing Supply Chain Market analysis, Artificial Intelligence Manufacturing Supply Chain Market forecast, Artificial Intelligence Manufacturing Supply Chain Market players, Artificial Intelligence Manufacturing Supply Chain Market scope, Artificial Intelligence Manufacturing Supply Chain Market share, Artificial Intelligence Manufacturing Supply Chain Market size, Artificial Intelligence Manufacturing Supply Chain Market trends Global Artificial Intelligence Manufacturing Supply Chain Market research report gives comprehensive outlook markets 20192025 offers indepth summary current market status, historic, expected way forward Artificial Intelligence Manufacturing Supply Chain Market. Additionally, this, report provides data restraints negatively impacting markets growth. The report includes valuable information assist new entrants, established players, understand prevailing trends Market. Download Free Sample Copy Artificial Intelligence Manufacturing Supply Chain Market Report: Key Objectives Artificial Intelligence Manufacturing Supply Chain Market Report: Study annual revenues market developments major players supply Artificial Intelligence Manufacturing Supply Chain Analysis demand Artificial Intelligence Manufacturing Supply Chain component Assessment future trends growth architecture Artificial Intelligence Manufacturing Supply Chain Market Assessment Artificial Intelligence Manufacturing Supply Chain Market respect type application Study market trends regions countries, component, Artificial Intelligence Manufacturing Supply Chain Market Study contracts developments related Artificial Intelligence Manufacturing Supply Chain Market key players different regions Finalization overall market sizes triangulating supplyside data, includes product developments, supply chain, annual revenues companies supplying Artificial Intelligence Manufacturing Supply Chain globe Major Players included report follows IBMMicrosoftOracleGoogleSASSAP SESiemensSalesforceCambridge AnalyticaCivis AnalyticsRapidMiner Artificial Intelligence Manufacturing Supply Chain Market segmented Product Types OnpremiseCloudbased Artificial Intelligence Manufacturing Supply Chain Market segmented Applications AutomotiveAerospaceChemicalsBuilding ConstructionOthers To Buy report, Visit Artificial Intelligence Manufacturing Supply Chain Market: Regional analysis includes:AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, AustraliaEurope Turkey, Germany, Russia UK, Italy, France, etc.North America United States, Mexico, Canada.South America Brazil etc.The Middle East Africa GCC Countries Egypt. Target Audience: Artificial Intelligence Manufacturing Supply Chain Equipment Manufacturers Traders, Importers, Exporters Raw Material Suppliers Distributors Research Consulting Firms Government Research Organizations Associations Industry Bodies Stakeholders, marketing executives business owners planning refer market research report use study design offerings understand competitors attract potential customers manage supply distribution channels. When tracking trends researchers conscious effort analyse interpret consumer behaviour. Besides, research helps product owners understand changes culture, target market brands draw attention potential customers effectively. Customize Report Inquiry The Artificial Intelligence Manufacturing Supply Chain Market Report: Report structure:In recently published report, provided unique insight Artificial Intelligence Manufacturing Supply Chain Industry forecasted period. The report covered significant aspects contributing growth global Artificial Intelligence Manufacturing Supply Chain Market. The primary objective report highlight key market dynamics listed drivers, trends, restraints. These market dynamics potential impact global Artificial Intelligence Manufacturing Supply Chain Market. This report provided detailed information audience way Artificial Intelligence Manufacturing Supply Chain industry heading past months going shape years come. DataIntelo offered comprehensive analysis Artificial Intelligence Manufacturing Supply Chain industry. The report provided crucial information elements impacting driving sales Artificial Intelligence Manufacturing Supply Chain Market. The section competitive landscape keeps utmost importance reports published DataIntelo. Competitive landscape section consists key market players functioning worldwide industry Artificial Intelligence Manufacturing Supply Chain. The report analysed changing trends industry. Several macroeconomic factors Gross domestic product GDP increasing inflation rate expected affect directly indirectly development Artificial Intelligence Manufacturing Supply Chain Market. Table Contents1 Industry Overview Artificial Intelligence Manufacturing Supply Chain2 Manufacturing Cost Structure Analysis3 Development Manufacturing Plants Analysis Artificial Intelligence Manufacturing Supply Chain4 Key Figures Major Manufacturers5 Artificial Intelligence Manufacturing Supply Chain Regional Market Analysis6 Artificial Intelligence Manufacturing Supply Chain Segment Market Analysis Type7 Artificial Intelligence Manufacturing Supply Chain Segment Market Analysis Application8 Artificial Intelligence Manufacturing Supply Chain Major Manufacturers Analysis9 Development Trend Analysis Artificial Intelligence Manufacturing Supply Chain Market10 Marketing Channel11 Market Dynamics12 Conclusion13 Appendix Ask Discount Artificial Intelligence Manufacturing Supply Chain Market Report at: About DataIntelo:DATAINTELO set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. Each report goes proper research methodology, validated professionals analysts ensure eminent quality reports. Info DataInteloName Alex MathewsEmail [emailprotected]Website 500 East E Street, Ontario, CA 91764, United States. This post originally published Food Beverage Herald Post navigation Artificial Intelligence Medicine Market Structure, Industry Inspection, Forecast 2025 Related posts Artificial Intelligence Medicine Market Structure, Industry Inspection, Forecast 2025 April 22, 2020 AlexArtificial Intelligence Medicine Market, Artificial Intelligence Medicine Market analysis, Artificial Intelligence Medicine Market forecast, Artificial Intelligence Medicine Market players, Artificial Intelligence Medicine Market scope, Artificial Intelligence Medicine Market share, Artificial Intelligence Medicine Market size, Artificial Intelligence Medicine Market trends Advanced report Artificial Intelligence Medicine Market Added , offers details current and... 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https://forextv.com/top-news/lightning-ai-releases-pytorch-lightning-2-0-and-a-new-open-source-library-for-lightweight-scaling-of-machine-learning-models/
| 2023-03-15T00:00:00 |
en
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Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models - ForexTV
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Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models - ForexTV
Marketing ServicesPublish on ForexTVContact us Wednesday, March 15, 2023 Login No Result View All Result NewsTop NewsMarket NewsForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditSmall Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO (EUR)Japanese Yen (JPY)Great British Pound (GBP)Swiss Franc (CHF)New Zealand Dollar (NZD)Canadian Dollar (CAD)Australian Dollar (AUD)Crypto FocusBitcoin (BTC)Ethereum (ETH)TetherBNBCardano (Ada)Ripple (XRP)Solana (SOL)Dogecoin (DOGE)Polkadot (DOT)Tron (TRX)Shiba Inu (SHIB)Litecoin (LTC)NFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags and PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead and Shoulders Top FormationHead and Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index (ADX)Average True Range (ATR)Bollinger Bands (BOL)Commodity Channel Index (CCI)Fibonacci StudiesGann LinesKeltner Channels (KC)Momentum (MTM)Money Flow Index (MFI)Moving Average Convergence Divergence (MACD)Moving Average Envelope (MAE)Exponential Moving Average (EMA)Simple Moving Average (SMA)Weighted Moving Average (WMA)On Balance Volume (OBV)Parabolic Stop-and-Reversal (SAR)Rate of Change (ROC)Relative Strength Index (RSI)Stochastic (STC)Volatility (VOLA)Volume (VOL)Volume+ (VOLP)Volume Accumulation Oscillator (VAO)Williams %RLive Forex Rates/ChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary of Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price CalculatorNewsTop NewsMarket NewsForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditSmall Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO (EUR)Japanese Yen (JPY)Great British Pound (GBP)Swiss Franc (CHF)New Zealand Dollar (NZD)Canadian Dollar (CAD)Australian Dollar (AUD)Crypto FocusBitcoin (BTC)Ethereum (ETH)TetherBNBCardano (Ada)Ripple (XRP)Solana (SOL)Dogecoin (DOGE)Polkadot (DOT)Tron (TRX)Shiba Inu (SHIB)Litecoin (LTC)NFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags and PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead and Shoulders Top FormationHead and Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index (ADX)Average True Range (ATR)Bollinger Bands (BOL)Commodity Channel Index (CCI)Fibonacci StudiesGann LinesKeltner Channels (KC)Momentum (MTM)Money Flow Index (MFI)Moving Average Convergence Divergence (MACD)Moving Average Envelope (MAE)Exponential Moving Average (EMA)Simple Moving Average (SMA)Weighted Moving Average (WMA)On Balance Volume (OBV)Parabolic Stop-and-Reversal (SAR)Rate of Change (ROC)Relative Strength Index (RSI)Stochastic (STC)Volatility (VOLA)Volume (VOL)Volume+ (VOLP)Volume Accumulation Oscillator (VAO)Williams %RLive Forex Rates/ChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary of Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price Calculator No Result View All Result No Result View All ResultADVERTISEMENTSLightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models by GlobeNewswire March 15, 2023 in Top News Reading Time: 4 mins read The Lightning Continuum The Lightning ContinuumPyTorch Lightning Creator Launches Update of the Popular AI Framework with 45+ Million Downloads to DatePyTorch Lightning 2.0 Offers the ML/AI Community Rich Features and an Improved Developer Experience to Accelerate the Time-to-Market of AI ProductsCompany Introduces Lightning Fabric, a New Open Source Library Used for Scaling ML Models with Full Control of the Model Training ProcessNEW YORK, March 15, 2023 (GLOBE NEWSWIRE) — Lightning AI, the company accelerating the development of an AI-powered world, today announced the general availability of PyTorch Lightning 2.0, the company’s flagship open source AI framework used by more than 10,000 organizations to quickly and cost-efficiently train and scale machine learning models. The new release introduces a stable API, offers a host of powerful features with a smaller footprint, and is easier to read and debug. Lightning AI has also unveiled Lightning Fabric to give users full control over their training loop. This new library allows users to leverage tools like callbacks and checkpoints only when needed, and also supports reinforcement learning, active learning and transformers without losing control over training code.The new releases are available for download at https://lightning.ai/pages/open-source/. Users seeking a simple, scalable training method that works out of the box can use PyTorch Lightning 2.0, while those looking for additional granularity and control throughout the training process can use Lightning Fabric. By extending its portfolio of open source offerings, Lightning AI is supporting a wider range of individual and enterprise developers as advances in machine learning are growing exponentially.Until now, machine learning practitioners have had to choose between two extremes: either using prescriptive tools for training and deploying machine learning tools or figuring it out completely on their own. With the update to PyTorch Lightning, and the introduction of Lightning Fabric, Lightning AI is now offering users an extensive array of training options for their machine learning models. If users want features like checkpointing, logging, and early stopping to be included out of the box, the original PyTorch Lightning framework is the right choice for them. If users want to scale their model to multiple GPUs but also want to write their own training loop for tasks like reinforcement learning, a method used by OpenAI’s ChatGPT, then Fabric is the right choice for them.“The dual launch of PyTorch Lightning 2.0 and Lightning Fabric marks a significant milestone for Lightning AI and our community,“ said William Falcon, creator of PyTorch Lightning and the CEO and co-founder of Lightning AI. “Each release provides a robust set of options for companies with in-house machine learning developers interested in additional granularity and those who want a simple scaling solution that works out of the box. As the size of models deployed in enterprise settings continues to expand, the ability to scale the training process in a way that is simple, lightweight, and cost-effective becomes increasingly important. Lightning AI is proud to be expanding the choices that users have to scale their models for downstream tasks whether those are internal, like analytics and content creation tools, or customer-facing, like ChatGPT and other customer service chatbots.”Resources:Read the blog post introducing Lightning 2.0 from Lightning AI’s CTO, Luca Antiga: https://lightning.ai/pages/community/lightning-releases/introducing-lightning-2-0/Download the new releases at: https://lightning.ai/pages/open-source/Learn more about PyTorch Lightning 2.0: https://lightning.ai/pages/open-source/pytorch-lightning/Learn more about Lightning Fabric: https://lightning.ai/pages/open-source/fabric/About Lightning AILightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to shape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.For more information, visit: https://www.lightning.ai/Media Contacts: Alex Rose, Lightning AI, [email protected] Reed, Sift Communications for Lightning AI, [email protected] photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/4662490a-6ee9-4c70-a027-eb7d2def91efThe photo is also available via AP PhotoExpress.AuthorRecent Posts GlobeNewswireGlobeNewswire,is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.Latest posts by GlobeNewswire (see all) Associa’s Cynthia Heskett Elected President Of BIA Bay Area Professional Women In Building Council - March 15, 2023 Photovoltaic Glass Market is estimated to surge ahead at a CAGR of 27.9% to reach US$ 237.1 Billion by the end of 2033, Persistence Market Research - March 15, 2023 Aluminium Tubes and Pipes Market to Grow at 5.5% CAGR by 2030, Driven by Increasing Demand from Automotive, Construction, and Aerospace Industries - March 15, 2023ADVERTISEMENTS Next Post Digital Twin Consortium Guides Building Owners and Stakeholders in Carbon Emission Reduction Please login to join discussionADVERTISEMENTSRecommended FTSE 100 back below 7,400 as banking fears worsen; gold price at new sterling record 4 mins ago Morgan Stanley: This Is Bitcoin’s Moment To Shine Amid Bank Closures 4 mins ago GBP/USD accelerates losses to the 1.2040 region amidst rising risk aversion 4 mins ago Associa’s Cynthia Heskett Elected President Of BIA Bay Area Professional Women In Building Council 6 mins ago Need A Business Loan? 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Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models
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Lightning AI Releases PyTorch Lightning 2.0 New Open Source Library Lightweight Scaling Machine Learning Models ForexTV Marketing ServicesPublish ForexTV Wednesday, March 15, 2023 No Result View All Result NewsTop NewsMarket NewsForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditSmall Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO EURJapanese Yen JPYGreat British Pound GBPSwiss Franc CHFNew Zealand Dollar NZDCanadian Dollar CADAustralian Dollar AUDCrypto FocusBitcoin BTCEthereum ETHTetherBNBCardano AdaRipple XRPSolana SOLDogecoin DOGEPolkadot DOTTron TRXShiba Inu SHIBLitecoin LTCNFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead Shoulders Top FormationHead Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index ADXAverage True Range ATRBollinger Bands BOLCommodity Channel Index CCIFibonacci StudiesGann LinesKeltner Channels KCMomentum MTMMoney Flow Index MFIMoving Average Convergence Divergence MACDMoving Average Envelope MAEExponential Moving Average EMASimple Moving Average SMAWeighted Moving Average WMAOn Balance Volume OBVParabolic StopandReversal SARRate Change ROCRelative Strength Index RSIStochastic STCVolatility VOLAVolume VOLVolume VOLPVolume Accumulation Oscillator VAOWilliams RLive Forex RatesChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price CalculatorNewsTop NewsMarket NewsForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditSmall Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO EURJapanese Yen JPYGreat British Pound GBPSwiss Franc CHFNew Zealand Dollar NZDCanadian Dollar CADAustralian Dollar AUDCrypto FocusBitcoin BTCEthereum ETHTetherBNBCardano AdaRipple XRPSolana SOLDogecoin DOGEPolkadot DOTTron TRXShiba Inu SHIBLitecoin LTCNFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead Shoulders Top FormationHead Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index ADXAverage True Range ATRBollinger Bands BOLCommodity Channel Index CCIFibonacci StudiesGann LinesKeltner Channels KCMomentum MTMMoney Flow Index MFIMoving Average Convergence Divergence MACDMoving Average Envelope MAEExponential Moving Average EMASimple Moving Average SMAWeighted Moving Average WMAOn Balance Volume OBVParabolic StopandReversal SARRate Change ROCRelative Strength Index RSIStochastic STCVolatility VOLAVolume VOLVolume VOLPVolume Accumulation Oscillator VAOWilliams RLive Forex RatesChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price Calculator No Result View All Result No Result View All ResultADVERTISEMENTSLightning AI Releases PyTorch Lightning 2.0 New Open Source Library Lightweight Scaling Machine Learning Models GlobeNewswire March 15, 2023 Top News Reading Time: 4 mins read The Lightning Continuum The Lightning ContinuumPyTorch Lightning Creator Launches Update Popular AI Framework 45 Million Downloads DatePyTorch Lightning 2.0 Offers MLAI Community Rich Features Improved Developer Experience Accelerate TimetoMarket AI ProductsCompany Introduces Lightning Fabric, New Open Source Library Used Scaling ML Models Full Control Model Training ProcessNEW YORK, March 15, 2023 GLOBE NEWSWIRE Lightning AI, company accelerating development AIpowered world, today announced general availability PyTorch Lightning 2.0, companys flagship open source AI framework 10,000 organizations quickly costefficiently train scale machine learning models. The new release introduces stable API, offers host powerful features smaller footprint, easier read debug. Lightning AI unveiled Lightning Fabric users control training loop. This new library allows users leverage tools like callbacks checkpoints needed, supports reinforcement learning, active learning transformers losing control training code.The new releases available download Users seeking simple, scalable training method works box use PyTorch Lightning 2.0, looking additional granularity control training process use Lightning Fabric. By extending portfolio open source offerings, Lightning AI supporting wider range individual enterprise developers advances machine learning growing exponentially.Until now, machine learning practitioners choose extremes: prescriptive tools training deploying machine learning tools figuring completely own. With update PyTorch Lightning, introduction Lightning Fabric, Lightning AI offering users extensive array training options machine learning models. If users want features like checkpointing, logging, early stopping included box, original PyTorch Lightning framework right choice them. If users want scale model multiple GPUs want write training loop tasks like reinforcement learning, method OpenAIs ChatGPT, Fabric right choice them.The dual launch PyTorch Lightning 2.0 Lightning Fabric marks significant milestone Lightning AI community, said William Falcon, creator PyTorch Lightning CEO cofounder Lightning AI. Each release provides robust set options companies inhouse machine learning developers interested additional granularity want simple scaling solution works box. As size models deployed enterprise settings continues expand, ability scale training process way simple, lightweight, costeffective increasingly important. Lightning AI proud expanding choices users scale models downstream tasks internal, like analytics content creation tools, customerfacing, like ChatGPT customer service chatbots.Resources:Read blog post introducing Lightning 2.0 Lightning AIs CTO, Luca Antiga: new releases at: PyTorch Lightning 2.0: Lightning Fabric: Lightning AILightning AI company reimagining way AI built. After creating releasing PyTorch Lightning 2019, William Falcon launched Lightning AI shape development artificial intelligence products commercial academic use. Focusing simplicity, sustainability, modularity, extensibility, Lightning AI streamlines lifecycle machine learning development expand widespread AI adoption. Its aim enable individual enterprise users build deploymentready AI tools hire experts sink resources inhouse infrastructure.For information, visit: s: Alex Rose, Lightning AI, alex.rose Reed, Sift Communications Lightning AI, lightningai photo accompanying announcement available photo available AP PhotoExpress.AuthorRecent Posts GlobeNewswireGlobeNewswire,is worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public.Latest posts GlobeNewswire Associas Cynthia Heskett Elected President Of BIA Bay Area Professional Women In Building Council March 15, 2023 Photovoltaic Glass Market estimated surge ahead CAGR 27.9 reach US 237.1 Billion end 2033, Persistence Market Research March 15, 2023 Aluminium Tubes Pipes Market Grow 5.5 CAGR 2030, Driven reasing Demand Automotive, Construction, Aerospace Industries March 15, 2023ADVERTISEMENTS Next Post Digital Twin Consortium Guides Building Owners Stakeholders Carbon Emission Reduction Please login join discussionADVERTISEMENTSRecommended FTSE 100 7,400 banking fears worsen; gold price new sterling record 4 mins ago Morgan Stanley: This Is Bitcoins Moment To Shine Amid Bank Closures 4 mins ago GBPUSD accelerates losses 1.2040 region amidst rising risk aversion 4 mins ago Associas Cynthia Heskett Elected President Of BIA Bay Area Professional Women In Building Council 6 mins ago Need A Business Loan? Borrow From A ForexTV Certified Partner business email phone number funding Funding Amount0 4,9995,000 9,99910,000 24,99925,000 49,99950,000 99,999100,000 249,999250,000 499,999Over 500,000 monthly revenue What monthly sales?No sales yetLess 10,00010,000 25,00025,000 50,00050,000 75,00075,000 100,000More 100,000 time business How long business?Im starting business now1 6 months6 12 months1 2 yearsMore 2 years terms I agree . Get Qualified Now Marketing ServicesPublish ForexTV 2022 No Result View All ResultNewsTop NewsMarket NewsForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditSmall Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO EURJapanese Yen JPYGreat British Pound GBPSwiss Franc CHFNew Zealand Dollar NZDCanadian Dollar CADAustralian Dollar AUDCrypto FocusBitcoin BTCEthereum ETHTetherBNBCardano AdaRipple XRPSolana SOLDogecoin DOGEPolkadot DOTTron TRXShiba Inu SHIBLitecoin LTCNFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead Shoulders Top FormationHead Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index ADXAverage True Range ATRBollinger Bands BOLCommodity Channel Index CCIFibonacci StudiesGann LinesKeltner Channels KCMomentum MTMMoney Flow Index MFIMoving Average Convergence Divergence MACDMoving Average Envelope MAEExponential Moving Average EMASimple Moving Average SMAWeighted Moving Average WMAOn Balance Volume OBVParabolic StopandReversal SARRate Change ROCRelative Strength Index RSIStochastic STCVolatility VOLAVolume VOLVolume VOLPVolume Accumulation Oscillator VAOWilliams RLive Forex RatesChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price Calculator 2022 ForexTV.comWelcome Back account Remember Me Forgotten Password?Retrieve passwordPlease enter username email address reset password. Log In This website uses cookies improve experience. Well assume youre ok this, optout wish.Accept PolicyPrivacy Policy Close Privacy OverviewThis website uses cookies improve experience navigate website. Out these, cookies categorized necessary stored browser essential working basic functionalities website. We use thirdparty cookies help analyze understand use website. These cookies stored browser consent. You option optout cookies. But opting cookies affect browsing experience. Necessary Necessary Always Enabled Necessary cookies absolutely essential website function properly. This category includes cookies ensures basic functionalities security features website. These cookies store personal information. Nonnecessary Nonnecessary Any cookies particularly necessary website function specifically collect user personal data analytics, ads, embedded contents termed nonnecessary cookies. It mandatory procure user consent prior running cookies website. SAVE ACCEPT
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] | 1 | 196,936 |
https://forextv.com/top-news/mcclintock-and-amfora-form-strategic-collaboration-to-leverage-ai-to-improve-protein-content-of-soy/
| 2023-07-11T00:00:00 |
en
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McClintock and Amfora Form Strategic Collaboration to Leverage AI to Improve Protein Content of Soy - ForexTV
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McClintock and Amfora Form Strategic Collaboration to Leverage AI to Improve Protein Content of Soy - ForexTV
Marketing ServicesPublish on ForexTVContact us Tuesday, July 11, 2023 Login No Result View All Result NewsTop NewsMarket NewsLifestyleForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditBusiness Credit BlogBusiness LoansMerchant Cash AdvancesBusiness Line of CreditWhat is Alternative Business Lending?Small Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO (EUR)Japanese Yen (JPY)Great British Pound (GBP)Swiss Franc (CHF)New Zealand Dollar (NZD)Canadian Dollar (CAD)Australian Dollar (AUD)Crypto FocusBitcoin (BTC)Ethereum (ETH)TetherBNBCardano (Ada)Ripple (XRP)Solana (SOL)Dogecoin (DOGE)Polkadot (DOT)Tron (TRX)Shiba Inu (SHIB)Litecoin (LTC)NFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags and PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead and Shoulders Top FormationHead and Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index (ADX)Average True Range (ATR)Bollinger Bands (BOL)Commodity Channel Index (CCI)Fibonacci StudiesGann LinesKeltner Channels (KC)Momentum (MTM)Money Flow Index (MFI)Moving Average Convergence Divergence (MACD)Moving Average Envelope (MAE)Exponential Moving Average (EMA)Simple Moving Average (SMA)Weighted Moving Average (WMA)On Balance Volume (OBV)Parabolic Stop-and-Reversal (SAR)Rate of Change (ROC)Relative Strength Index (RSI)Stochastic (STC)Volatility (VOLA)Volume (VOL)Volume+ (VOLP)Volume Accumulation Oscillator (VAO)Williams %RLive Forex Rates/ChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary of Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price CalculatorNewsTop NewsMarket NewsLifestyleForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditBusiness Credit BlogBusiness LoansMerchant Cash AdvancesBusiness Line of CreditWhat is Alternative Business Lending?Small Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO (EUR)Japanese Yen (JPY)Great British Pound (GBP)Swiss Franc (CHF)New Zealand Dollar (NZD)Canadian Dollar (CAD)Australian Dollar (AUD)Crypto FocusBitcoin (BTC)Ethereum (ETH)TetherBNBCardano (Ada)Ripple (XRP)Solana (SOL)Dogecoin (DOGE)Polkadot (DOT)Tron (TRX)Shiba Inu (SHIB)Litecoin (LTC)NFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags and PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead and Shoulders Top FormationHead and Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index (ADX)Average True Range (ATR)Bollinger Bands (BOL)Commodity Channel Index (CCI)Fibonacci StudiesGann LinesKeltner Channels (KC)Momentum (MTM)Money Flow Index (MFI)Moving Average Convergence Divergence (MACD)Moving Average Envelope (MAE)Exponential Moving Average (EMA)Simple Moving Average (SMA)Weighted Moving Average (WMA)On Balance Volume (OBV)Parabolic Stop-and-Reversal (SAR)Rate of Change (ROC)Relative Strength Index (RSI)Stochastic (STC)Volatility (VOLA)Volume (VOL)Volume+ (VOLP)Volume Accumulation Oscillator (VAO)Williams %RLive Forex Rates/ChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary of Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price Calculator No Result View All Result No Result View All ResultADVERTISEMENTSMcClintock and Amfora Form Strategic Collaboration to Leverage AI to Improve Protein Content of Soy by GlobeNewswire July 11, 2023 in Top News Reading Time: 2 mins read SAN FRANCISCO, July 11, 2023 (GLOBE NEWSWIRE) — Artificial intelligence and machine learning innovator McClintock LLC has entered into a collaboration with the biotechnology company Amfora to improve the development of Amfora’s high-yielding, ultra-high protein soybean varieties.Amfora is building a platform of technologies that uses gene editing to enhance the nutritional density of food and feed crops. The company is applying these technologies to develop a pipeline of products aimed at meeting the growing global demand for foods that are high in protein while enhancing sustainability. The company is initially focused on developing soy as a scalable, low-cost, high-density protein source for plant-based replacements of animal protein.By combining its advanced soybean phenotyping tools with McClintock’s AI and machine learning breeding solutions, Amfora aims to accelerate and optimize its breeding efforts to increase soybean productivity and protein content.“By applying our advanced technology to Amfora’s data, we are helping unlock the full potential of genetic diversity, shorten breeding cycles, and develop improved crop varieties with enhanced traits,” said Avi Kaler, Chief Technology Officer of McClintock. “Together, we are working to develop soybean varieties that not only provide high yields but also meet the increasing demand for protein-rich crops in a sustainable manner.”Under the collaboration, McClintock will use its state-of-the-art AI and machine learning algorithms to analyze and advance Amfora’s germplasm collection. By extracting insights from Amfora’s data, McClintock will help identify key genetic markers and traits associated with high-yield and ultra-high protein content. This data-driven approach will allow Amfora’s breeders to make informed decisions, significantly reducing the time and resources required to develop new soybean varieties.The companies did not disclose financial terms of the agreement.“By leveraging McClintock’s AI platform to advance our soybean breeding program, we will accelerate our efforts to develop soy as a scalable, low-cost, high-density protein source for plant-based replacements of animal protein,” said Dr. Michael Lassner, Chief Scientific Officer, Amfora. “Our protein-rich crops will enable the manufacturers of plant-based meat, dairy, and seafood to meet the growing consumer demand for their products at lower costs while allowing them to take meaningful steps to address the climate crisis.”About McClintock McClintock LLC is a leading provider of AI and machine learning solutions for plant breeding. With a focus on data analytics and predictive modeling McClintock guides plant breeding efforts in making data-driven decisions to enhance trait performance.About Amfora Amfora is a biotechnology company that is harnessing biology to sustainably nourish the world’s population and enhancing wellness. Amfora’s mission is to meet the growing global demand for foods that are high in protein by enhancing the nutritional density of food and feed crops, while reducing the cost of food and the environmental toll on the planet. More information can be found at www.amforainc.com.ContactDaniel LevineLevine Media [email protected](510) 280-5405AuthorRecent Posts GlobeNewswireGlobeNewswire,is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.Latest posts by GlobeNewswire (see all) Concurrent Technologies Corporation Awarded $75.5 Million Contract for Force Safety and Occupational Health Support - July 11, 2023 Automotive Coolant Aftermarket Market Projected to Reach USD 1.69 Billion, at a 4.19% CAGR by 2032 – Report by Market Research Future (MRFR) - July 11, 2023 Metal Stamping Market Size Worth USD 329.1 Bn by 2032 | Showcasing a CAGR of 3.8% - July 11, 2023ADVERTISEMENTS Next Post IBN Announces Latest Episode of The Bell2Bell Podcast featuring Amir Reichman, CEO of BiondVax Pharmaceuticals Ltd. 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McClintock and Amfora Form Strategic Collaboration to Leverage AI to Improve Protein Content of Soy
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McClintock Amfora Form Strategic Collaboration Leverage AI Improve Protein Content Soy ForexTV Marketing ServicesPublish ForexTV Tuesday, July 11, 2023 No Result View All Result NewsTop NewsMarket NewsLifestyleForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditBusiness Credit BlogBusiness LoansMerchant Cash AdvancesBusiness Line CreditWhat Alternative Business Lending?Small Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO EURJapanese Yen JPYGreat British Pound GBPSwiss Franc CHFNew Zealand Dollar NZDCanadian Dollar CADAustralian Dollar AUDCrypto FocusBitcoin BTCEthereum ETHTetherBNBCardano AdaRipple XRPSolana SOLDogecoin DOGEPolkadot DOTTron TRXShiba Inu SHIBLitecoin LTCNFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead Shoulders Top FormationHead Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index ADXAverage True Range ATRBollinger Bands BOLCommodity Channel Index CCIFibonacci StudiesGann LinesKeltner Channels KCMomentum MTMMoney Flow Index MFIMoving Average Convergence Divergence MACDMoving Average Envelope MAEExponential Moving Average EMASimple Moving Average SMAWeighted Moving Average WMAOn Balance Volume OBVParabolic StopandReversal SARRate Change ROCRelative Strength Index RSIStochastic STCVolatility VOLAVolume VOLVolume VOLPVolume Accumulation Oscillator VAOWilliams RLive Forex RatesChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price CalculatorNewsTop NewsMarket NewsLifestyleForex NewsForex AnalysisCrypto NewsNFT NewsSmall BusinessBusiness CreditBusiness Credit BlogBusiness LoansMerchant Cash AdvancesBusiness Line CreditWhat Alternative Business Lending?Small Business Loans NewswireMarketing ServicesDigital Marketing BlogOnline Content MarketingForexTV Marketing ConsultingForexTV Inbound Marketing ServicesForexTV Email MarketingCurrency FocusEURO EURJapanese Yen JPYGreat British Pound GBPSwiss Franc CHFNew Zealand Dollar NZDCanadian Dollar CADAustralian Dollar AUDCrypto FocusBitcoin BTCEthereum ETHTetherBNBCardano AdaRipple XRPSolana SOLDogecoin DOGEPolkadot DOTTron TRXShiba Inu SHIBLitecoin LTCNFT NewsEconomic CalendarResourcesTrader EducationCandlestick Pattern IntroBullish EngulfingBullish HaramiBearish EngulfingBearish HaramiHammer PatternHanging Man CandleInverted HammerShooting Star CandlestickMorning Star CandlestickEvening Star CandlestickPiercing PatternDark Cloud CoverThree White SoldiersThree Black CrowsCup With HandleFlags PennantsSymmetrical TriangleAscending TriangleDescending TrianglePrice ChannelsRectangle Chart PatternRounding BottomRising WedgeFalling WedgeHead Shoulders Top FormationHead Shoulders Bottom FormationTriple TopDouble BottomDouble TopAverage Directional Index ADXAverage True Range ATRBollinger Bands BOLCommodity Channel Index CCIFibonacci StudiesGann LinesKeltner Channels KCMomentum MTMMoney Flow Index MFIMoving Average Convergence Divergence MACDMoving Average Envelope MAEExponential Moving Average EMASimple Moving Average SMAWeighted Moving Average WMAOn Balance Volume OBVParabolic StopandReversal SARRate Change ROCRelative Strength Index RSIStochastic STCVolatility VOLAVolume VOLVolume VOLPVolume Accumulation Oscillator VAOWilliams RLive Forex RatesChartsLive RatesLive ChartsForex Trader ToolsPivot Point CalculatorCurrency ConverterGlobal Statistic ResourcesTrading TermsForex GlossaryGlossary Retirement Industry TermsCPI ToolsCPI Inflation CalculatorCPI Average Price Calculator No Result View All Result No Result View All ResultADVERTISEMENTSMcClintock Amfora Form Strategic Collaboration Leverage AI Improve Protein Content Soy GlobeNewswire July 11, 2023 Top News Reading Time: 2 mins read SAN FRANCISCO, July 11, 2023 GLOBE NEWSWIRE Artificial intelligence machine learning innovator McClintock LLC entered collaboration biotechnology company Amfora improve development Amforas highyielding, ultrahigh protein soybean varieties.Amfora building platform technologies uses gene editing enhance nutritional density food feed crops. The company applying technologies develop pipeline products aimed meeting growing global demand foods high protein enhancing sustainability. The company initially focused developing soy scalable, lowcost, highdensity protein source plantbased replacements animal protein.By combining advanced soybean phenotyping tools McClintocks AI machine learning breeding solutions, Amfora aims accelerate optimize breeding efforts increase soybean productivity protein content.By applying advanced technology Amforas data, helping unlock potential genetic diversity, shorten breeding cycles, develop improved crop varieties enhanced traits, said Avi Kaler, Chief Technology Officer McClintock. Together, working develop soybean varieties provide high yields meet increasing demand proteinrich crops sustainable manner.Under collaboration, McClintock use stateoftheart AI machine learning algorithms analyze advance Amforas germplasm collection. By extracting insights Amforas data, McClintock help identify key genetic markers traits associated highyield ultrahigh protein content. This datadriven approach allow Amforas breeders informed decisions, significantly reducing time resources required develop new soybean varieties.The companies disclose financial terms agreement.By leveraging McClintocks AI platform advance soybean breeding program, accelerate efforts develop soy scalable, lowcost, highdensity protein source plantbased replacements animal protein, said Dr. Michael Lassner, Chief Scientific Officer, Amfora. Our proteinrich crops enable manufacturers plantbased meat, dairy, seafood meet growing consumer demand products lower costs allowing meaningful steps address climate crisis.About McClintock McClintock LLC leading provider AI machine learning solutions plant breeding. With focus data analytics predictive modeling McClintock guides plant breeding efforts making datadriven decisions enhance trait performance.About Amfora Amfora biotechnology company harnessing biology sustainably nourish worlds population enhancing wellness. Amforas mission meet growing global demand foods high protein enhancing nutritional density food feed crops, reducing cost food environmental toll planet. More information LevineLevine Media Groupdanny 2805405AuthorRecent Posts GlobeNewswireGlobeNewswire,is worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public.Latest posts GlobeNewswire Concurrent Technologies Corporation Awarded 75.5 Million Contract Force Safety Occupational Health Support July 11, 2023 Automotive Coolant Aftermarket Market Projected Reach USD 1.69 Billion, 4.19 CAGR 2032 Report Market Research Future MRFR July 11, 2023 Metal Stamping Market Size Worth USD 329.1 Bn 2032 Showcasing CAGR 3.8 July 11, 2023ADVERTISEMENTS Next Post IBN Announces Latest Episode The Bell2Bell Podcast featuring Amir Reichman, CEO BiondVax Pharmaceuticals Ltd. 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] | 1 | 196,937 |
https://forextv.com/top-news/shareholder-alert-pomerantz-law-firm-investigates-claims-on-behalf-of-investors-of-c3-ai-inc-ai/
| 2022-02-23T00:00:00 |
en
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SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc. - AI - ForexTV
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SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc. - AI - ForexTV
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Home / Top News / SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc. – AI
SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc. – AI
Posted by: GlobeNewswire
in Top News
7 mins ago
NEW YORK, Feb. 23, 2022 (GLOBE NEWSWIRE) — Pomerantz LLP is investigating claims on behalf of investors of C3.ai, Inc. (“C3.ai” or the “Company”) (NYSE: AI). Such investors are advised to contact Robert S. Willoughby at [email protected] or 888-476-6529, ext. 7980.
The investigation concerns whether C3.ai and certain of its officers and/or directors have engaged in securities fraud or other unlawful business practices.
[Click here for information about joining the class action]
On February 16, 2022, Spruce Point Capital Management (“Spruce Point”) published a report on C3, asserting that Spruce Point’s research failed to corroborate various claims made by C3. Accordingly, the Spruce Point report concluded that there is a high probability that C3 is overstating its numbers of paying and active customers and has exaggerated its total addressable market.
On this news, C3’s stock price fell $4.52 per share, or 14.21%, over the following trading sessions, closing at $21.19 per share on February 18, 2022.
Pomerantz LLP, with offices in New York, Chicago, Los Angeles, Paris, and Tel Aviv, is acknowledged as one of the premier firms in the areas of corporate, securities, and antitrust class litigation. Founded by the late Abraham L. Pomerantz, known as the dean of the class action bar, Pomerantz pioneered the field of securities class actions. Today, more than 85 years later, Pomerantz continues in the tradition he established, fighting for the rights of the victims of securities fraud, breaches of fiduciary duty, and corporate misconduct. The Firm has recovered numerous multimillion-dollar damages awards on behalf of class members. See www.pomlaw.com
CONTACT:Robert S. WilloughbyPomerantz [email protected] ext. 7980
Author Recent Posts GlobeNewswireGlobeNewswire,is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public. Latest posts by GlobeNewswire (see all) Keel of Harrisburg (LPD 30) Authenticated at Ingalls Shipbuilding - February 23, 2022 SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc. – AI - February 23, 2022 HAGENS BERMAN, NATIONAL TRIAL ATTORNEYS, Encourages Investors in FAT Brands (FAT) with Significant Losses to Contact Firm’s Attorneys Concerning Investigation Into Possible Securities Law Violations - February 23, 2022
2022-02-23
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SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of C3.ai, Inc.
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SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf Investors C3.ai, . AI ForexTV Breaking News Equities investors lose N22bn activities waned Bitcoin Bounce Fades; Minor Support 30K36K AUDUSD Forecast: Correcting lower amid deteriorating mood, bullish GBPUSD struggle 1.3600, retreats 1.3550 market mood dampened Ukraine crisis EURUSD Forecast: Risk bearish acceleration increases alongside war concerns Keel Harrisburg LPD 30 Authenticated Ingalls Shipbuilding SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf Investors C3.ai, . AI HAGENS BERMAN, NATIONAL TRIAL ATTORNEYS, Encourages Investors FAT Brands FAT Significant Losses Firms Attorneys Concerning Investigation Into Possible Securities Law Violations Camp Corral Awarded 55,000 Grant From Boeing Support Enrichment Programs Children Wounded Warriors Faith Tribe, Ltd. 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AI SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf Investors C3.ai, . AI Posted by: GlobeNewswire Top News 7 mins ago NEW YORK, Feb. 23, 2022 GLOBE NEWSWIRE Pomerantz LLP investigating claims behalf investors C3.ai, . C3.ai Company NYSE:AI. Such investors advised contact Robert S. Willoughby newaction 8884766529, ext. 7980. The investigation concerns C3.ai certain officers andor directors engaged securities fraud unlawful business practices. [Click information joining class action] On February 16, 2022, Spruce Point Capital Management Spruce Point published report C3, asserting Spruce Points research failed corroborate claims C3. Accordingly, Spruce Point report concluded high probability C3 overstating numbers paying active customers exaggerated total addressable market. On news, C3s stock price fell 4.52 share, 14.21, following trading sessions, closing 21.19 share February 18, 2022. Pomerantz LLP, offices New York, Chicago, Los Angeles, Paris, Tel Aviv, acknowledged premier firms areas corporate, securities, antitrust class litigation. Founded late Abraham L. Pomerantz, known dean class action bar, Pomerantz pioneered field securities class actions. Today, 85 years later, Pomerantz continues tradition established, fighting rights victims securities fraud, breaches fiduciary duty, corporate misconduct. The Firm recovered numerous multimilliondollar damages awards behalf class members. See CONTACT:Robert S. WilloughbyPomerantz LLPrswilloughby ext. 7980 Author Recent Posts GlobeNewswireGlobeNewswire,is worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. Latest posts GlobeNewswire Keel Harrisburg LPD 30 Authenticated Ingalls Shipbuilding February 23, 2022 SHAREHOLDER ALERT: Pomerantz Law Firm Investigates Claims On Behalf Investors C3.ai, . AI February 23, 2022 HAGENS BERMAN, NATIONAL TRIAL ATTORNEYS, Encourages Investors FAT Brands FAT Significant Losses Firms Attorneys Concerning Investigation Into Possible Securities Law Violations February 23, 2022 20220223 GlobeNewswire tweet Previous: HAGENS BERMAN, NATIONAL TRIAL ATTORNEYS, Encourages Investors FAT Brands FAT Significant Losses Firms Attorneys Concerning Investigation Into Possible Securities Law Violations Next: Keel Harrisburg LPD 30 Authenticated Ingalls Shipbuilding Related Articles Keel Harrisburg LPD 30 Authenticated Ingalls Shipbuilding 2 mins ago HAGENS BERMAN, NATIONAL TRIAL ATTORNEYS, Encourages Investors FAT Brands FAT Significant Losses Firms Attorneys Concerning Investigation Into Possible Securities Law Violations 16 mins ago Camp Corral Awarded 55,000 Grant From Boeing Support Enrichment Programs Children Wounded Warriors 17 mins ago Need A Business Loan? 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] | 1 | 196,938 |
https://freedombunker.com/2023/05/12/the-sp-is-up-8-in-2023-without-ai-it-would-be-down-2-below-3800/
| 2023-05-12T00:00:00 |
en
|
The S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800
|
The S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800 The Best Libertarian News From The Best Libertarian Sites, Daily.AMERICAN THINKERBABYLON BEEFBTVREASONZEROHEDGEAboutAMERICAN THINKERBABYLON BEEFBTVREASONZEROHEDGEAbout The S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800May 12, 2023 | Tags: ZEROHEDGE The S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800In the past month we have discussed on multiple occasions the unprecedented collapse in market breadth, driven by a record outperformance of a handful of tech names...... which has seen the Nasdaq's advance/decline line plunge to all time lows even as the Nasdaq is up more than 21% YTD...... and where JPM recently observed that "Market Breadth Is The Weakest Ever" with Goldman's David Kostin adding that there is elevated risk of a sharp market drawdown as a result of the collapse in market breadth.Today, we get a new perspective on the market's performance when normalized for the record collapse in breadth. According to SocGen it's not so much a handful of stocks that has carried the entire market this year: it's just one specific trade, Artificial Intelligence (which will soon spark hundreds of millions in margin-boosting layoffs across western countries).As SocGen's Manish Kabra writes, "the AI boom and hype is strong. So strong that without the AI-popular stocks, S&P 500 would be down 2% this year. Not +8%."Kabra reports that his update on SocGen's AI sentiment news indicator keeps rising exponentially and more extended than when he first talked about it just a few weeks ago.What is remarkable is that AI is nothing new: as a theme, Artificial Intelligence has been with us for decades (SocGen suggested being long SG Robotics and AI Equity as a secular theme last year), but what is going on now is unprecedented, and it is virtually impossible to fight against a very strong hype on a very short-term, and according to Kabra, what one can own is the defensive-Growth stocks with the top-20 most AI-held stocks within the top 15 AI ETFs.Which brings us back to the topic of 2023's record narrow leadership: The narrow performance is seen across the S&P 500 sectors with 8/11 broader sector groups seeing market-cap weighted indices outperforming equal-weighted indices. According to ScoGen calculations, the S&P 500 ex-AI boom stocks would be below 3800.Yet despite this seemingly unsustainable collapse of market leaders, SocGen concludes that narrow leadership should continue: "We do see the narrow performance in the US equities to persist as the backdrop stays unfavorable for leveraged, Small-caps, Value stocks, and companies that have carried out unsustainable buybacks."More in the full note available to pro subs in the usual place. Tyler Durden Fri, 05/12/2023 - 14:15Read More... Tags: ZEROHEDGE Subscribe Notify of new follow-up commentsnew replies to my comments Label {} [+] Name* Email* Website Δ Label {} [+] Name* Email* Website Δ 0 Comments Inline FeedbacksView all comments Load More Comments Unleash Your Inner LibertarianJoin our team of over 2189 Freedom Fighters. Please leave this field emptyEmail Address *Thank you for joining our group of freedom fighters. EU Considers Formally Banning Russian Oil Flows To Germany And PolandThe S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800Canada May Ban Fox News from Cable TV for ‘Abusive’ Tucker Carlson SegmentChris Widener: It’s Time to Get Off Your Butt and Do SomethingDeSantis Backs ‘Remain in Mexico’ Policy, Says he Would Stop ‘Bogus Asylum Claims’ Recent Commentswiggins on Antifa Activist Shoots, Critically Wounds Seattle Police DetectiveBill Green on Large Russian Plane Destroyed At Belarus Airstrip, Say Opposition Saboteursdave on Unleash Your Inner LibertarianJoe on Liberty Blog NetworkProof Positive That America Is the Best Place on Earth ← FREEDOM BUNKER on We Are All Libertarians Now RANDOMBiden Impeachment Coming? Senate Democrats Express Support for InvestigationGoalie declines to wear jersey celebrating LGBTQ community on Pride Night, takes heatWatchdog: IRS Has Spent $10M On Weapons, Ammo, & Combat Gear Since 2020Getting to the bottom of the UFOs and the governmentIndia Is About To Overtake China as World’s Most Populous Country, UN SaysCopyright © 2023 | Powered by DigitalCenturySF wpDiscuz00Would love your thoughts, please comment.x()x| ReplyInsert
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The S&P Is Up 8% In 2023; Without AI It Would Be Down 2%, Below 3,800
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The SP Is Up 8 In 2023; Without AI It Would Be Down 2, Below 3,800 The Best Libertarian News From The Best Libertarian Sites, Daily.AMERICAN THINKERBABYLON BEEFBTVREASONZEROHEDGEAboutAMERICAN THINKERBABYLON BEEFBTVREASONZEROHEDGEAbout The SP Is Up 8 In 2023; Without AI It Would Be Down 2, Below 3,800May 12, 2023 Tags: ZEROHEDGE The SP Is Up 8 In 2023; Without AI It Would Be Down 2, Below 3,800In past month discussed multiple occasions unprecedented collapse market breadth, driven record outperformance handful tech names...... seen Nasdaqs advancedecline line plunge time lows Nasdaq 21 YTD...... JPM recently observed Market Breadth Is The Weakest Ever Goldmans David Kostin adding elevated risk sharp market drawdown result collapse market breadth.Today, new perspective markets performance normalized record collapse breadth. According SocGen handful stocks carried entire market year: specific trade, Artificial Intelligence soon spark hundreds millions marginboosting layoffs western countries.As SocGens Manish Kabra writes, AI boom hype strong. So strong AIpopular stocks, SP 500 2 year. Not 8.Kabra reports update SocGens AI sentiment news indicator keeps rising exponentially extended talked weeks ago.What remarkable AI new: theme, Artificial Intelligence decades SocGen suggested long SG Robotics AI Equity secular theme year, going unprecedented, virtually impossible fight strong hype shortterm, according Kabra, defensiveGrowth stocks top20 AIheld stocks 15 AI ETFs.Which brings topic 2023s record narrow leadership: The narrow performance seen SP 500 sectors 811 broader sector groups seeing marketcap weighted indices outperforming equalweighted indices. According ScoGen calculations, SP 500 exAI boom stocks 3800.Yet despite seemingly unsustainable collapse market leaders, SocGen concludes narrow leadership continue: We narrow performance US equities persist backdrop stays unfavorable leveraged, Smallcaps, Value stocks, companies carried unsustainable buybacks.More note available pro subs usual place. Tyler Durden Fri, 05122023 14:15Read More... Tags: ZEROHEDGE Notify new followup commentsnew replies comments Label [] Name Email Website Label [] Name Email Website 0 Comments Inline FeedbacksView comments Load More Comments Unleash Your Inner LibertarianJoin team 2189 Freedom Fighters. Please leave field emptyEmail Address Thank joining group freedom fighters. EU Considers Formally Banning Russian Oil Flows To Germany And PolandThe SP Is Up 8 In 2023; Without AI It Would Be Down 2, Below 3,800Canada May Ban Fox News Cable TV Abusive Tucker Carlson SegmentChris Widener: Its Time Get Off Your Butt Do SomethingDeSantis Backs Remain Mexico Policy, Says Would Stop Bogus Asylum Claims Recent Commentswiggins Antifa Activist Shoots, Critically Wounds Seattle Police DetectiveBill Green Large Russian Plane Destroyed At Belarus Airstrip, Say OppositionSaboteursdave Unleash Your Inner LibertarianJoe Liberty Blog NetworkProof Positive That America Is Best Place Earth FREEDOM BUNKER We Are All Libertarians Now RANDOMBiden Impeachment Coming? Senate Democrats Express Support InvestigationGoalie declines wear jersey celebrating LGBTQ community Pride Night, takes heatWatchdog: IRS Has Spent 10M On Weapons, Ammo, Combat Gear Since 2020Getting UFOs governmentIndia Is About To Overtake China Worlds Most Populous Country, UN Says 2023 Powered DigitalCenturySF wpDiscuz00Would love thoughts, comment.xx ReplyInsert
| 2,023 |
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https://fusionscienceacademy.com/latest-innovation-in-artificial-intelligence-software-system-market-2020-2026-future-strategies-and-current-trends-by-leading-key-players-google-iflytek-baidu-microsoft-sap-ibm-brighterion-int/
| 2021-04-08T00:00:00 |
en
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Latest Innovation In Artificial Intelligence Software System Market 2020-2026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRep(LogMeIn). – Fusion Science Academy
|
Latest Innovation In Artificial Intelligence Software System Market 2020-2026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRep(LogMeIn). – Fusion Science Academy
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MARKET REPORT
Latest Innovation In Artificial Intelligence Software System Market 2020-2026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRep(LogMeIn).
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Post date
April 8, 2021
Artificial Intelligence Software System Market
The Research Insights has acknowledged another research report which is titled as Artificial Intelligence Software System that offers an exclusive understanding of the topic. It figures out the ways in which the organizations can reinforce their stand in the market and increase their revenues in the upcoming years. It also tries to clasp the important methodologies.
Artificial Intelligence Software System Market growth will be fueled by benefits such as effective business process, proper management of different project size, time tracking & chat application, faster communications, administrative control and improved output. It helps to increase productivity, timely availability of information and updates. In addition, these helps the management to identify completion of work & bottlenecks and improves business efficiency.
Top Key player Included In This Report: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRep(LogMeIn).
Get Sample copy of this Report @:
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Similarly, its key products, end users, applications and technological details are emphasized in this report. It also examines the growth status in the regions like North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. The major difficulties that can hinder the growth of the market is also mentioned in the report.
Latest improvements in the industry have been integrated in the report by anticipating the future perspective of the market. It also states about the various marketing channels that are coming up in the global market. By understanding the latest grading in the Artificial Intelligence Software System market, the report plans some of the critical players who are working in the market.
Apart from this, the research report offers the vital key segmentation of the market that merges on the development rate and market of Artificial Intelligence Software System market. The key drivers, opportunities, difficulties and the forthcoming trends of the market is well explained to the viewers for their better understanding.
Early Buyers will Get up to 20% Discount on This Premium Research now @:
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Table of Contents
Global Artificial Intelligence Software System Market 2020-2025 Research Report
Chapter 1 Global Artificial Intelligence Software System Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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Ada Support, Application Artificial Intelligence Software System Market, Artificial Intelligence Software System Market, Artificial Intelligence Software System Market 2020, Artificial Intelligence Software System Market Opportunities, Artificial Intelligence Software System Market Segmentation, Artificial Intelligence Software System Market Share, Artificial Intelligence Software System Market Size, Artificial Intelligence Software System Market Trends, Artificial Intelligence Software System Market Types, Baidu, Brighterion, Forecast Artificial Intelligence Software System Market, Google, Growth, IBM, IFlyTek, Intel, Ipsoft, KITT.AI, Microsoft, NanoRep(LogMeIn), Salesforce, SAP
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Latest Innovation In Artificial Intelligence Software System Market 2020-2026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRep(LogMeIn).
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Latest Innovation In Artificial Intelligence Software System Market 20202026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRepLogMeIn. Fusion Science Academy Skip content Fusion Science AcademyScience Reports Fusion Analytics Menu Market Forecast Industry Trends Market Report Market Sales Industry Analysis Market Outlook Us for: Close search Close Menu Market Forecast Industry Trends Market Report Market Sales Industry Analysis Market Outlook Us Categories MARKET REPORT Latest Innovation In Artificial Intelligence Software System Market 20202026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRepLogMeIn. Post author By [emailprotected] Post date April 8, 2021 Artificial Intelligence Software System Market The Research Insights acknowledged research report titled Artificial Intelligence Software System offers exclusive understanding topic. It figures ways organizations reinforce stand market increase revenues upcoming years. It tries clasp important methodologies. Artificial Intelligence Software System Market growth fueled benefits effective business process, proper management different project size, time tracking chat application, faster communications, administrative control improved output. It helps increase productivity, timely availability information updates. In addition, helps management identify completion work bottlenecks improves business efficiency. Top Key player luded In This Report: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRepLogMeIn. Get Sample copy Report Similarly, key products, end users, applications technological details emphasized report. It examines growth status regions like North America, Europe, AsiaPacific, Latin America, Middle East Africa. The major difficulties hinder growth market mentioned report. Latest improvements industry integrated report anticipating future perspective market. It states marketing channels coming global market. By understanding latest grading Artificial Intelligence Software System market, report plans critical players working market. Apart this, research report offers vital key segmentation market merges development rate market Artificial Intelligence Software System market. The key drivers, opportunities, difficulties forthcoming trends market explained viewers better understanding. Early Buyers Get 20 Discount This Premium Research Table Contents Global Artificial Intelligence Software System Market 20202025 Research Report Chapter 1 Global Artificial Intelligence Software System Market Overview Chapter 2 Global Economic Impact Industry Chapter 3 Global Market Competition Manufacturers Chapter 4 Global Production, Revenue Value Region Chapter 5 Global Supply Production, Consumption, Export, Import Regions Chapter 6 Global Production, Revenue Value, Price Trend Type Chapter 7 Global Market Analysis Application Chapter 8 Manufacturing Cost Analysis Chapter 9 Industrial Chain, Sourcing Strategy Downstream Buyers Chapter 10 Marketing Strategy Analysis, DistributorsTraders Chapter 11 Market Effect Factors Analysis Chapter 12 Global Market Forecast Any Query, Ask To Our Experts: Tags Ada Support, Application Artificial Intelligence Software System Market, Artificial Intelligence Software System Market, Artificial Intelligence Software System Market 2020, Artificial Intelligence Software System Market Opportunities, Artificial Intelligence Software System Market Segmentation, Artificial Intelligence Software System Market Share, Artificial Intelligence Software System Market Size, Artificial Intelligence Software System Market Trends, Artificial Intelligence Software System Market Types, Baidu, Brighterion, Forecast Artificial Intelligence Software System Market, Google, Growth, IBM, IFlyTek, Intel, Ipsoft, KITT.AI, Microsoft, NanoRepLogMeIn, Salesforce, SAP Global V2V V2I Communication Systems Market Revenue, Emerging Key Players, SupplyDemand, Investment Feasibility Forecast 2026 Our Writers Us Join Our Newsletter for: Recent Posts Latest Innovation In Artificial Intelligence Software System Market 20202026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRepLogMeIn. Global V2V V2I Communication Systems Market Revenue, Emerging Key Players, SupplyDemand, Investment Feasibility Forecast 2026 Solar Panel Recycling Management Market Statistics, Segment, Trends, Size, Share, Type, Demand Forecast 2017 2025 Global Intraoperative MRI Market By Products, Manufacturers Analysis, Sales Forecast 2026: By GlobalMarketers Global Vaccine Refrigerators Market Size 2020, Production, Share, Sales, Revenue, Analysis Innovative Revolution Forecast Report 2026 Global Titanium Metal Titanium Alloy Market Key Players, Size, Trends, Sales, Supply, Demand, Industry Analysis Forecast 2026 Global Dialer Market Provides Sales Analysis, Growth Forecast Opportunities Types Application 2026 Oil Storage Market Overview, Global Analysis Market Size, Share, Top Trends, Growth Forecast 2017 2025 Global Flood Insurance Market Product Type, Applications, Industry Dynamics, Manufacturer Regional Analysis 2026 Adoxal G Market Competitive Landscape Analysis Forecast 2015 2023 BlogsWorldwide Demand Chlorobenzene Market : Industry Revenue, Business views 2026Europe Raisins Market Report Exploration Calculations CAGR 4.6 20192027 Business Market InsightsGlobal Employee Intranet Software Market Report 2020: OnSemble, Jostle, Simpplr, ThoughtFarmer, Speakap, Communifire, Jiven, tibbr, Bonzai, Twine, etc.Leakage Protector Market Growth Factor,Size 2021, Global Industry Analysis, Segments, Top Key Players, Drivers Trends 2027 ABB, Brennenstuhl, Schneider ElectricUKs energy suppliers accused misleading consumers false green energy dealsGlobal Gas Generator Sets Market Analysis, Size, Share, Growth, Trends Forecast 20212026How Boost Small Beer Market Compound Annual Growth Rate CAGR?Using AI automated systems coordinate microgrids feeding primary electric grid reliable sustainable green worldThe Indiana Senate approved necessary change renewable energy billThe leaders ESA CNSA meet check attainable house making plansTrends space economy investmentAutomation Service Market Disclosing Latest Developments Technology Advancements 20212027 Blue Prism, Microsoft, Uipath, IBM.Oklahoma finally decided dive renewable energySatellite operators consider options competing rapidly expanding Starlink networkSaudi Arabias energy 50 green 2030, Kingdom plant 10 billion treesSpaceX sends 60 Starlink spacecraft orbit lands rocketsTelesat finished funding Lightspeed constellationAmerican Clean Power Association appoints new executivesAt age 86, Philip Chapman, Australianborn NASA space explorer, diedCongress likely amendments Renewable Energy Project Development Investment for: Recent Posts Latest Innovation In Artificial Intelligence Software System Market 20202026 Future Strategies And Current Trends By Leading Key players: Google, IFlyTek, Baidu, Microsoft, SAP, IBM, Brighterion, Intel, KITT.AI, Salesforce, Ipsoft, Ada Support, NanoRepLogMeIn. Global V2V V2I Communication Systems Market Revenue, Emerging Key Players, SupplyDemand, Investment Feasibility Forecast 2026 Solar Panel Recycling Management Market Statistics, Segment, Trends, Size, Share, Type, Demand Forecast 2017 2025 Global Intraoperative MRI Market By Products, Manufacturers Analysis, Sales Forecast 2026: By GlobalMarketers Global Vaccine Refrigerators Market Size 2020, Production, Share, Sales, Revenue, Analysis Innovative Revolution Forecast Report 2026 Global Titanium Metal Titanium Alloy Market Key Players, Size, Trends, Sales, Supply, Demand, Industry Analysis Forecast 2026 Global Dialer Market Provides Sales Analysis, Growth Forecast Opportunities Types Application 2026 Oil Storage Market Overview, Global Analysis Market Size, Share, Top Trends, Growth Forecast 2017 2025 Global Flood Insurance Market Product Type, Applications, Industry Dynamics, Manufacturer Regional Analysis 2026 Adoxal G Market Competitive Landscape Analysis Forecast 2015 2023 blogsWorldwide Demand Chlorobenzene Market : Industry Revenue, Business views 2026Europe Raisins Market Report Exploration Calculations CAGR 4.6 20192027 Business Market InsightsGlobal Employee Intranet Software Market Report 2020: OnSemble, Jostle, Simpplr, ThoughtFarmer, Speakap, Communifire, Jiven, tibbr, Bonzai, Twine, etc.Leakage Protector Market Growth Factor,Size 2021, Global Industry Analysis, Segments, Top Key Players, Drivers Trends 2027 ABB, Brennenstuhl, Schneider ElectricUKs energy suppliers accused misleading consumers false green energy dealsGlobal Gas Generator Sets Market Analysis, Size, Share, Growth, Trends Forecast 20212026How Boost Small Beer Market Compound Annual Growth Rate CAGR?Using AI automated systems coordinate microgrids feeding primary electric grid reliable sustainable green worldThe Indiana Senate approved necessary change renewable energy billThe leaders ESA CNSA meet check attainable house making plansTrends space economy investmentAutomation Service Market Disclosing Latest Developments Technology Advancements 20212027 Blue Prism, Microsoft, Uipath, IBM.Oklahoma finally decided dive renewable energySatellite operators consider options competing rapidly expanding Starlink networkSaudi Arabias energy 50 green 2030, Kingdom plant 10 billion treesSpaceX sends 60 Starlink spacecraft orbit lands rocketsTelesat finished funding Lightspeed constellationAmerican Clean Power Association appoints new executivesAt age 86, Philip Chapman, Australianborn NASA space explorer, diedCongress likely amendments Renewable Energy Project Development Investment 2021 Fusion Science Academy Powered WordPress To Up
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https://gadget.co.za/toastmasters-ropes-in-ai/
| 2022-09-21T00:00:00 |
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Toastmasters ropes in AI - Gadget
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Toastmasters ropes in AI - Gadget
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Yoodli partners with Toastmasters to bring speech coaching powered by AI to their members
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Published on 21 Sep 2022
Toastmasters offer more than 280,000 members standard free access to a Toastmasters version of the innovative Yoodli public speaking platform. Their partnership with a co-branded version of the platform is expected to be available to members by the end of the year.
“We are very excited to partner with Yoodli and establish our foothold in the arena of artificial intelligence and speech pattern recognition,” says Matt Kinsey, Toastmasters International President. “This collaboration adds tremendous value for our current members and prospective members. We are most thrilled that we can offer this pioneering speech preparation tool at no additional cost to our members,” he says.
Through Yoodli, Toastmasters members will be able to:
Practice, record, and store up to 60 minutes worth of speechesReceive analytics showing their filler words, pacing, word choice, and moreView an auto-generated transcript of their speechShare a speech with othersPlay Yoodli-created word games
“We unveiled the Yoodli platform to Toastmasters’ members at the organization’s International Convention in August and the feedback was incredible,” says Varun Puri, Co-Founder of Yoodli. “We envision a world where public speaking is fun, uplifting, and collaborative as opposed to something that induces anxiety. Partnering with Toastmasters, the world’s expert in public speaking will allow us to scale our platform across the globe,” he says.
Yoodli has secured more than $7 million in funding that it expects to last several years. Some of their investors include Microsoft co-founder Paul Allen’s AI Institute, Cercano Capital, and Madrona Venture Group, an early investor in Amazon.
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Toastmasters ropes in AI
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Toastmasters ropes AI Gadget The Future Fast Goldstuck Gadgets Topics Product Reviews Africa News People n Issues Hardware Software AudioVisual GadgetWheels Agritech Fintech Cybersecurity Business Tech Gaming Advertise Us free newsletter Connect Gadget GadgetWheels free newsletter Fujifilm XH2 mirrorless camera Asus boosts creativity ergonomics Band 7 brings basics fitness Rectron, EcoFlow, expand power range Artifical Intelligence Toastmasters ropes AI Yoodli partners Toastmasters bring speech coaching powered AI members ShareClick share Twitter Opens new windowClick share Facebook Opens new windowClick share LinkedIn Opens new windowClick share WhatsApp Opens new windowClick share Pinterest Opens new window Published 21 Sep 2022 Toastmasters offer 280,000 members standard free access Toastmasters version innovative Yoodli public speaking platform. Their partnership cobranded version platform expected available members end year. We excited partner Yoodli establish foothold arena artificial intelligence speech pattern recognition, says Matt Kinsey, Toastmasters International President. This collaboration adds tremendous value current members prospective members. We thrilled offer pioneering speech preparation tool additional cost members, says. Through Yoodli, Toastmasters members able to: Practice, record, store 60 minutes worth speechesReceive analytics showing filler words, pacing, word choice, moreView autogenerated transcript speechShare speech othersPlay Yoodlicreated word games We unveiled Yoodli platform Toastmasters members organizations International Convention August feedback incredible, says Varun Puri, CoFounder Yoodli. We envision world public speaking fun, uplifting, collaborative opposed induces anxiety. Partnering Toastmasters, worlds expert public speaking allow scale platform globe, says. Yoodli secured 7 million funding expects years. Some investors include Microsoft cofounder Paul Allens AI Institute, Cercano Capital, Madrona Venture Group, early investor Amazon. ShareClick share Twitter Opens new windowClick share Facebook Opens new windowClick share LinkedIn Opens new windowClick share WhatsApp Opens new windowClick share Pinterest Opens new window free newsletter Thank Signing UpPlease enter valid email address.1,true,6, Email,2 Continue Reading You like... Fujifilm XH2 mirrorless camera Asus boosts creativity ergonomics Band 7 brings basics fitness Rectron, EcoFlow, expand power range Related Topics:product day Fujifilm XH2 mirrorless camera Trending Artifical Intelligence Full cost data breaches revealed Movie Week Explorer: The Last Tepui streaming Disney Product Day Xiaomi 12 lite A combination innovative features Movie Week Science Fiction horrorthriller Nope hits cinemas EdTech Data comes life SA classrooms GadgetWheels Merc launches EQ range SA week Movie Week Whos My Daddy? Us free newsletter Visit OpenCritic 2022 World Wide Worx To Top Go mobile version
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https://galleonnews.com/energy/135593/artificial-intelligence-in-security-market-maximum-benefit-and-growth-potential-of-key-players-2028-samsung-amazon-skycure-sparkcognition-ibm/
| 2021-12-20T00:00:00 |
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Artificial Intelligence in Security Market Maximum Benefit and Growth Potential of Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM – The Galleon
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Artificial Intelligence in Security Market Maximum Benefit and Growth Potential of Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM – The Galleon
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Artificial Intelligence in Security Market Maximum Benefit and Growth Potential of Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM
anita1 hour ago0 0 4 minutes read
The Artificial Intelligence in Security Market research report ехаmіnеs соmреtіtіvе рrоgrеѕѕ of the Artificial Intelligence in Security industry. The activities in the market such as ехраnѕіоnѕ, mergers and acquisitions, nеw рrоduсt lаunсhеѕ, and more influencing market growth are detailed in the report. The primary worldwide Artificial Intelligence in Security manufacturing companies are specified and analyzed in the research report. Moreover, their amount of annual product sales, market share by value and volume, competitive landscape, and development plans of the market players. Importantly, the SWOT analysis of the market covered under the report helps to clearly understand the strengths and weaknesses of the enterprises. It also helps in determining the opportunities and major threats that could hamper the market growth.
Key players profiled in the report includes:
Samsung
Amazon
Skycure
SparkCognition
IBM
Cylance
Securonix
Xilinx
Acalvio
Sift Science
Intel
Micron
ThreatMetrix
NVIDIA
Darktrace
We Have Recent Updates of Artificial Intelligence in Security Market in Sample [email protected] https://www.orbismarketreports.com/sample-request/160814?utm_source=Pooja
The report provides market intelligence to studies the suppliers and manufacturers in the Artificial Intelligence in Security market and the critical cost drivers that can help suppliers, retailers, and other market participants formulate cost-effective management strategies. The research report presents the latest findings on the Artificial Intelligence in Security market with a special emphasis on the leading economies, alongside summarizing the important applications and segments. The report to the market participants provides actionable insights on regional spending dynamics and factors impacting the sales along with the total production costs of and opportunities to save costs.
By the product type, the market is primarily split into
Hardware
Software
Services
By the end-users/application, this report covers the following segments
Network Security
Endpoint Security
Application Security
Cloud Security
The report studies in detail the presence of certain products and services in the domestic and markets, and the promising strengths of these product and service categories. Moreover, the development initiatives undertaken by the governments, trade associations, individual, and enterprises are detailed in the research report. Modernization and technology upgradations that have helped the Artificial Intelligence in Security market and its enterprises boost the market performance are studied in the report. Economic size of the manufacturers, human resource development programmes that have enhanced efficiency is presented in the report.
Geographical Segmentation and Competition Analysis
– North America (U.S., Canada, Mexico)
– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
– Latin America (Brazil, Rest of L.A.)
– Middle East and Africa (Turkey, GCC, Rest of Middle East)
Following Points are Covered in the Artificial Intelligence in Security market Report:
• Financial performance of Artificial Intelligence in Security industry and Artificial Intelligence in Security products.
• Data of product companies over the period, 2000-2028
• Financial profitability, structure of the market capital, operational efficiency, efficiency of current market segments, market liquidity position.
• Profitability of investors as well as entrepreneurs.
• Current turnover of the market, and factors responsible for ensuring market efficiency.
• Future expansion and programmes implemented for modernization by the governments and key players in the market.
Browse Full Report with Facts and Figures of Artificial Intelligence in Security Market Report at @ https://www.orbismarketreports.com/covid-19-outbreak-global-artificial-intelligence-in-security-market-report-development-trends-and-competitive-landscape-till-2025?utm_source=Pooja
Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Artificial Intelligence in Security Revenue
1.4 Market Analysis by Type
1.4.1 Artificial Intelligence in Security Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 Artificial Intelligence in Security Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Growth Trends by Regions
2.1 Artificial Intelligence in Security Market Perspective (2015-2028)
2.2 Artificial Intelligence in Security Growth Trends by Regions
2.2.1 Artificial Intelligence in Security Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 Artificial Intelligence in Security Historic Market Share by Regions (2015-2020)
2.2.3 Artificial Intelligence in Security Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Artificial Intelligence in Security Market Growth Strategy
2.3.6 Primary Interviews with Key Artificial Intelligence in Security Players (Opinion Leaders)
Chapter Three: Competition Landscape by Key Players
3.1 Top Artificial Intelligence in Security Players by Market Size
3.1.1 Top Artificial Intelligence in Security Players by Revenue (2015-2020)
3.1.2 Artificial Intelligence in Security Revenue Market Share by Players (2015-2020)
3.1.3 Artificial Intelligence in Security Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Artificial Intelligence in Security Market Concentration Ratio
3.2.1 Artificial Intelligence in Security Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Top Chapter Ten: and Top 5 Companies by Artificial Intelligence in Security Revenue in 2020
3.3 Artificial Intelligence in Security Key Players Head office and Area Served
3.4 Key Players Artificial Intelligence in Security Product Solution and Service
3.5 Date of Enter into Artificial Intelligence in Security Market
3.6 Mergers & Acquisitions, Expansion Plans
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbismarketreports.com/enquiry-before-buying/160814?utm_source=Pooja
Highlights of the Report:
• The report different segments and ѕubѕеgmеntѕ of the Artificial Intelligence in Security market.
• The report highlights the leading market рlауеrѕ аnd аnаlуzеs thеіr grоwth strategies implemented during the pandemic.
• The report provides financial details of the Artificial Intelligence in Security market such as market share by volume and value, market size, current and expected CAGR in forecast years 2021-2028 of all individual segments that helps market players understand economic state of every segment.
• The report analyzes the Artificial Intelligence in Security market’s leading соmраnies, еѕѕеntіаl rеgіоnѕ/соuntrіеѕ, рrоduсtѕ, аnd аррlісаtіоn, all the related іnfоrmаtіоn frоm the year 2015 tо 2020, аnd аlѕо рrеdісts viable opportunities for the market participants upto 2029.
About Us:
Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
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Artificial Intelligence in Security Market Maximum Benefit and Growth Potential of Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM
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Artificial Intelligence Security Market Maximum Benefit Growth Potential Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM The Galleon Monday, December 20 2021 Breaking News Bunker Oil Market Product, Enduser, Geography Forecast Analysis 20222027 Chevron, Exxon Mobil, Gazprom Gene Therapy Products Market Top Company, Geographical Region, Industry Segments till 2027 Bluebird Bio, Sangamo, Spark Therapeutics DTaP Vaccine Market Growth Status Explored New Research Report 2022 GlaxoSmithKline, Sanofi Pasteur, Ltd. Haemophilus b Conjugate Vaccine Hib Market 2022 Statistics, Size, Share, Trends Forecast 2027 Leading Companies RegionsUSA, Europe, Asia Pacific, Middle East, Sanofi Pasteur, SA, GSK Transplant Diagnostics Market SWOT Analysis, Key Indicators, Forecast 2028: HoffmanLa Roche Ltd Switzerland, QIAGEN N.V. Netherlands, bioMrieux SA France, Immucor US Vaccines For Children VFC Boost Revenue Forecast Period 20222027 GSK, Sanofi, Merck Zoster Vaccine Live Market 2022:Key market Insights, Drivers Restraints, Opportunities Challenges, Sales Revenue Forecast Period 20222027 Merck, GSK , Rapid Microbiology Detection Enumeration System Market Product, Enduser, Geography Forecast Analysis 20222027 BioMerieux, Danaher, BD Hyperimmune Serum Market: Global Industry Trend Analysis 2014 2022 Forecast 2022 2027 CSL Behring, Grifols, Biotest Lupus Erythematosus Treatment Market Analysis Trends Industry Forecast 2027 GSK, Pfizer, AstraZeneca Sidebar Random Article Log In Menu HomeEnergyArtificial Intelligence Security Market Maximum Benefit Growth Potential Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM Energy Artificial Intelligence Security Market Maximum Benefit Growth Potential Key Players 2028: Samsung, Amazon, Skycure, SparkCognition, IBM anita1 hour ago0 0 4 minutes read The Artificial Intelligence Security Market research report mns mttv rgr Artificial Intelligence Security industry. The activities market nn, mergers acquisitions, nw rdut lunh, influencing market growth detailed report. The primary worldwide Artificial Intelligence Security manufacturing companies specified analyzed research report. Moreover, annual product sales, market share value volume, competitive landscape, development plans market players. Importantly, SWOT analysis market covered report helps clearly understand strengths weaknesses enterprises. It helps determining opportunities major threats hamper market growth. Key players profiled report includes: Samsung Amazon Skycure SparkCognition IBM Cylance Securonix Xilinx Acalvio Sift Science Intel Micron ThreatMetrix NVIDIA Darktrace We Have Recent Updates Artificial Intelligence Security Market Sample [emailprotected] The report provides market intelligence studies suppliers manufacturers Artificial Intelligence Security market critical cost drivers help suppliers, retailers, market participants formulate costeffective management strategies. The research report presents latest findings Artificial Intelligence Security market special emphasis leading economies, alongside summarizing important applications segments. The report market participants provides actionable insights regional spending dynamics factors impacting sales total production costs opportunities save costs. By product type, market primarily split Hardware Software Services By endusersapplication, report covers following segments Network Security Endpoint Security Application Security Cloud Security The report studies presence certain products services domestic markets, promising strengths product service categories. Moreover, development initiatives undertaken governments, trade associations, individual, enterprises detailed research report. Modernization technology upgradations helped Artificial Intelligence Security market enterprises boost market performance studied report. Economic size manufacturers, human resource development programmes enhanced efficiency presented report. Geographical Segmentation Competition Analysis North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Following Points Covered Artificial Intelligence Security market Report: Financial performance Artificial Intelligence Security industry Artificial Intelligence Security products. Data product companies period, 20002028 Financial profitability, structure market capital, operational efficiency, efficiency current market segments, market liquidity position. Profitability investors entrepreneurs. Current turnover market, factors responsible ensuring market efficiency. Future expansion programmes implemented modernization governments key players market. Browse Full Report Facts Figures Artificial Intelligence Security Market Report @ Table Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking Artificial Intelligence Security Revenue 1.4 Market Analysis Type 1.4.1 Artificial Intelligence Security Market Size Growth Rate Type: 2020 VS 2028 1.5 Market Application 1.5.1 Artificial Intelligence Security Market Share Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered Chapter Two: Growth Trends Regions 2.1 Artificial Intelligence Security Market Perspective 20152028 2.2 Artificial Intelligence Security Growth Trends Regions 2.2.1 Artificial Intelligence Security Market Size Regions: 2015 VS 2020 VS 2028 2.2.2 Artificial Intelligence Security Historic Market Share Regions 20152020 2.2.3 Artificial Intelligence Security Forecasted Market Size Regions 20212028 2.3 Industry Trends Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porters Five Forces Analysis 2.3.5 Artificial Intelligence Security Market Growth Strategy 2.3.6 Primary Interviews Key Artificial Intelligence Security Players Opinion Leaders Chapter Three: Competition Landscape Key Players 3.1 Top Artificial Intelligence Security Players Market Size 3.1.1 Top Artificial Intelligence Security Players Revenue 20152020 3.1.2 Artificial Intelligence Security Revenue Market Share Players 20152020 3.1.3 Artificial Intelligence Security Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 Artificial Intelligence Security Market Concentration Ratio 3.2.1 Artificial Intelligence Security Market Concentration Ratio CRChapter Five: HHI 3.2.2 Top Chapter Ten: Top 5 Companies Artificial Intelligence Security Revenue 2020 3.3 Artificial Intelligence Security Key Players Head office Area Served 3.4 Key Players Artificial Intelligence Security Product Solution Service 3.5 Date Enter Artificial Intelligence Security Market 3.6 Mergers Acquisitions, Expansion Plans Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Highlights Report: The report different segments ubgmnt Artificial Intelligence Security market. The report highlights leading market lr nd nlzs thr grwth strategies implemented pandemic. The report provides financial details Artificial Intelligence Security market market share volume value, market size, current expected CAGR forecast years 20212028 individual segments helps market players understand economic state segment. The report analyzes Artificial Intelligence Security markets leading mnies, ntl rgnuntr, rdut, nd ltn, related nfrmtn frm year 2015 2020, nd l rdts viable opportunities market participants upto 2029. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 anita1 hour ago0 0 4 minutes read Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print anita Related Articles Global Content Analytics Market Top Players By 2026: Google, HP, IBM, Microsoft, SAS Institute etc. 9 hours ago Smart Airport Construction Market Expected To Reach xx.xx mn USD With growth Rate x.x 2028: Company I, Company II, Company III 6 days ago Gigabit Passive Optical Network GPON Chipset Market Forecast 2027 COVID19 Impact Global Analysis Product Segmentation Application 2027 Adtran, Alphion, AT T 5 days ago North America Vendor Management Software Market 20212028: Coupa Software ., Gatekeeper Cinergy Technology LimitedHICX Solutions Ltd.IBM CorporationIntelex Technologies ., LogicManager, ., MasterControl ., NcontractsSalesWarpSAP SE, 1 week ago Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Check Also Close Energy Change Configuration Management Market Expected To Reach xx.xx mn USD With growth Rate x.x 2028: Microsoft, HP, CA Technologies, ServiceNow, BMC Software, 6 days ago 2021, Jannah Theme TieLabs Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Bunker Oil Market Product, Enduser, Geography Forecast Analysis 20222027 Chevron, Exxon Mobil, Gazprom Gene Therapy Products Market Top Company, Geographical Region, Industry Segments till 2027 Bluebird Bio, Sangamo, Spark Therapeutics DTaP Vaccine Market Growth Status Explored New Research Report 2022 GlaxoSmithKline, Sanofi Pasteur, Ltd. Haemophilus b Conjugate Vaccine Hib Market 2022 Statistics, Size, Share, Trends Forecast 2027 Leading Companies RegionsUSA, Europe, Asia Pacific, Middle East, Sanofi Pasteur, SA, GSK Transplant Diagnostics Market SWOT Analysis, Key Indicators, Forecast 2028: HoffmanLa Roche Ltd Switzerland, QIAGEN N.V. 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https://galusaustralis.com/2020/01/319480/global-back-grinding-tapes-market-insights-2019-mitsui-chemicals-tohcello-furukawa-electric-nitto-ai-technology-lintec/
| 2020-01-13T00:00:00 |
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Global Back Grinding Tapes Market Insights 2019 – Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC – Galus Australis
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Global Back Grinding Tapes Market Insights 2019 – Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC – Galus Australis
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Global Back Grinding Tapes Market Insights 2019 – Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC
apexreports
January 12, 2020
Global Back Grinding Tapes Market Report identifies the assessable estimation of the market including Industry Analysis, Size, Share, Growth, Trends, Outlook and Forecasts 2019-2026″ present in the industry space. The report studies historical data, facts, attentive opinions, current growth factors, and market threats with competitive analysis of major Back Grinding Tapes Market Players, value chain analysis, and future roadmap.
The essential objective of the report is to gain the comprehensive understanding of the market in terms of its definition, segmentation, market potential, influential trends, and the challenges that the market is facing. In-depth research and analysis has been covered to offer key statistic on the market status of the market manufacturers. The report also covers the competitive landscape and a corresponding detailed analysis of the major players operating in the market.
Major Industry Player Profiles That Included by Back Grinding Tapes Market Research Report:
Mitsui Chemicals Tohcello
Furukawa Electric
Nitto
AI Technology
LINTEC
D&X
Denka
Get Sample PDF for More Professional and Technical Insights at: https://www.apexmarketreports.com/Heavy-Industry/global-back-grinding-tapes-market-by-product-type-434187#sample
The Back Grinding Tapes report focuses on the latest progressions, advancement, new possibilities, and dormant traps. The Back Grinding Tapes research report covers the present situation and the development possibilities of the industry for 2019-2026. The report studies significant key components including capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments.
Key Stakeholders Covered inside this Back Grinding Tapes Report:
• Back Grinding Tapes Manufacturers
• Back Grinding Tapes Distributors/Traders/Wholesalers
• Back Grinding Tapes Subcomponent Manufacturers
• Back Grinding Tapes Industry Association
• Downstream Vendors
Customize Report And Inquiry For The Back Grinding Tapes Market Report: https://www.apexmarketreports.com/Heavy-Industry/global-back-grinding-tapes-market-by-product-type-434187#inquiry
For better understanding, the facts and data studied in the report are represented using diagrams, graphs, pie charts and other pictorial representations. Furthermore, the report offers a SWOT analysis that studies the elements influencing various segments associated with the market.
The Segmentation for the Back Grinding Tapes Market Report:
Global Back Grinding Tapes market segmentation by type:
UV Type
Non-UV Type
Global Back Grinding Tapes market segmentation by application:
Standard
Standard Thin Die
(S)DBG(GAL)
Bump
Geographically, this market report studies the following key geographical regions: North America, Europe, China, Japan, India, Southeast Asia, Other regions (Central & South America, Middle East & Africa)
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Global Back Grinding Tapes Market Insights 2019
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Global Back Grinding Tapes Market Insights 2019 Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle SciTech Monday, January 13 2020 Trending Global Industrial Electric Heating Element Market Insights 2019 Watlow, NIBE, Tutco Heating Solutions Group, Chromalox, Indeeco Global Bicycle Helmet Market Insights 2019 Vista Outdoor, Scott Sports, Trek Bicycle, Dorel, Mavic Global Isobutene Market Insights 2019 Lyondell Basell, Sumitomo Chemical, Nizhnekamskneftekhim, TPC Group, Yuhua Group Global Cultivator Share Market Insights 2019 Osmundson Mfg. Co., LA PINA Industrias Angel Martinez Lopez, AGRICARB, FORGES DE NIAUX, BETEK GmbH Co. KG Global Car Batteries Market Insights 2019 Johnson Controls, CSIC Power, Hitachi Chemical, GS Yuasa, Atlas BX Global Hydraulic Attachments Market Insights 2019 Sandvik, Furukawa, Atlascopco, Caterpillar, Soosan Global Precious Metal Thermocouple Market Insights 2019 Honeywell, JUMO, Tanaka, Durex Industries, Omega Global Polycarboxylate Superplasticizer Macromonomer Market Insights 2019 Lotte Chemical, Lingan Technology, Oxiranchem, Viswaat Chemicals Limited, Taijie Chemical Global Automatic Boarding Gates Market Insights 2019 Kaba Gallenschuetz, Boon Edam, IER Blue Solutions, Emaratech, Gunnebo Global Mine Ventilation Equipment Market Insights 2019 Howden, Zitron, ABB, Epiroc, New York Blower HomeIndustryGlobal Back Grinding Tapes Market Insights 2019 Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC Industry Global Back Grinding Tapes Market Insights 2019 Mitsui Chemicals Tohcello, Furukawa Electric, Nitto, AI Technology, LINTEC apexreports January 12, 2020 Global Back Grinding Tapes Market Report identifies assessable estimation market including Industry Analysis, Size, Share, Growth, Trends, Outlook Forecasts 20192026 present industry space. The report studies historical data, facts, attentive opinions, current growth factors, market threats competitive analysis major Back Grinding Tapes Market Players, value chain analysis, future roadmap. The essential objective report gain comprehensive understanding market terms definition, segmentation, market potential, influential trends, challenges market facing. Indepth research analysis covered offer key statistic market status market manufacturers. The report covers competitive landscape corresponding detailed analysis major players operating market. Major Industry Player Profiles That luded Back Grinding Tapes Market Research Report: Mitsui Chemicals Tohcello Furukawa Electric Nitto AI Technology LINTEC DX Denka Get Sample PDF More Professional Technical Insights at: The Back Grinding Tapes report focuses latest progressions, advancement, new possibilities, dormant traps. The Back Grinding Tapes research report covers present situation development possibilities industry 20192026. The report studies significant key components including capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, technological developments. Key Stakeholders Covered inside Back Grinding Tapes Report: Back Grinding Tapes Manufacturers Back Grinding Tapes DistributorsTradersWholesalers Back Grinding Tapes Subcomponent Manufacturers Back Grinding Tapes Industry Association Downstream Vendors Customize Report And Inquiry For The Back Grinding Tapes Market Report: For better understanding, facts data studied report represented diagrams, graphs, pie charts pictorial representations. Furthermore, report offers SWOT analysis studies elements influencing segments associated market. The Segmentation Back Grinding Tapes Market Report: Global Back Grinding Tapes market segmentation type: UV Type NonUV Type Global Back Grinding Tapes market segmentation application: Standard Standard Thin Die SDBGGAL Bump Geographically, market report studies following key geographical regions: North America, Europe, China, Japan, India, Southeast Asia, Other regions Central South America, Middle East Africa Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print apexreports Related Articles November 24, 2019 4 Global Wall Shelves Market 2019 Rakks Shelving Systems, Shelco Shelving, Rackline, Klaxons, Lyon LLC November 29, 2019 7 Global LED Stage Illumination Market 2019 ROBE, ACME, Altman, Lighting, ETC December 5, 2019 2 Global Spinal Implants Market 2019 DePuy Synthes, Stryker Corporation, Medtronic, NuVasive, Zimmer Biomet Holdings December 24, 2019 6 Global Vertical Conveyor Market Insights 2019 Alfacon Solutions, AmbaFlex, Aravali Engineers, ARROWHEAD Systems, Bastian Solutions Check Also Close SciTech Global Automatic Generation Control Market Insights 2019 ABB, GEAlstom Grid, OSI, Siemens, ANDRITZ January 5, 2020 Facebook Twitter WhatsApp Telegram Close for: Recent News Global Industrial Electric Heating Element Market Insights 2019 Watlow, NIBE, Tutco Heating Solutions Group, Chromalox, Indeeco January 12, 2020 Global Bicycle Helmet Market Insights 2019 Vista Outdoor, Scott Sports, Trek Bicycle, Dorel, Mavic January 12, 2020 Global Isobutene Market Insights 2019 Lyondell Basell, Sumitomo Chemical, Nizhnekamskneftekhim, TPC Group, Yuhua Group January 12, 2020 Global Cultivator Share Market Insights 2019 Osmundson Mfg. Co., LA PINA Industrias Angel Martinez Lopez, AGRICARB, FORGES DE NIAUX, BETEK GmbH Co. KG January 12, 2020 Global Car Batteries Market Insights 2019 Johnson Controls, CSIC Power, Hitachi Chemical, GS Yuasa, Atlas BX January 12, 2020 Global Hydraulic Attachments Market Insights 2019 Sandvik, Furukawa, Atlascopco, Caterpillar, Soosan January 12, 2020 Global Precious Metal Thermocouple Market Insights 2019 Honeywell, JUMO, Tanaka, Durex Industries, Omega January 12, 2020 Global Polycarboxylate Superplasticizer Macromonomer Market Insights 2019 Lotte Chemical, Lingan Technology, Oxiranchem, Viswaat Chemicals Limited, Taijie Chemical January 12, 2020 Global Automatic Boarding Gates Market Insights 2019 Kaba Gallenschuetz, Boon Edam, IER Blue Solutions, Emaratech, Gunnebo January 12, 2020 Close Log In Forget? Remember Log In
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] | 1 | 196,943 |
https://germanyenglishnews.com/german-news/2020/04/13/global-regulatory-technology-regtech-market-2019-2025-top-key-players-are-bearingpointmetricstreamnice-actimizebroadridgetraianafinastratargens-gmbhacinfenergoaccuitylombard-riskagreeme/
| 2020-04-13T00:00:00 |
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Global Regulatory Technology (RegTech) Market 2019-2025 | Top key players are Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger (DDIQ),EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai – Germany English News
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Global Regulatory Technology (RegTech) Market 2019-2025 | Top key players are Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger (DDIQ),EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai – Germany English News
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You are hereHomeGerman News2020April13Global Regulatory Technology (RegTech) Market 2019-2025 | Top key players are Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger (DDIQ),EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai
Global Regulatory Technology (RegTech) Market 2019-2025 | Top key players are Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger (DDIQ),EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai
April 13, 2020 [email protected] Market Press Release, Regulatory Technology (RegTech), Regulatory Technology (RegTech) Market, Regulatory Technology (RegTech) Market Analysis, Regulatory Technology (RegTech) Market Industry Analysis, Regulatory Technology (RegTech) Market Insights, Regulatory Technology (RegTech) Market Opportunities, Regulatory Technology (RegTech) Market Outlook, Regulatory Technology (RegTech) Market Research Companies, Regulatory Technology (RegTech) Market Research Company, Regulatory Technology (RegTech) Market Segmentation, Regulatory Technology (RegTech) Market Status, Regulatory Technology (RegTech) Market Trend, Scope Growth In Regulatory Technology (RegTech), Trends In Regulatory Technology (RegTech) Market
Global Regulatory Technology (RegTech) Market 2019 by Company, Regions, Type and Application, Forecast to 2024
The “Regulatory Technology (RegTech) Market” 2020 report includes the market strategy, market orientation, expert opinion and knowledgeable information. The Regulatory Technology (RegTech) Industry Report is an in-depth study analyzing the current state of the Regulatory Technology (RegTech) Market. It provides a brief overview of the market focusing on definitions, classifications, product specifications, manufacturing processes, cost structures, market segmentation, end-use applications and industry chain analysis. The study on Regulatory Technology (RegTech) Market provides analysis of market covering the industry trends, recent developments in the market and competitive landscape.
Global Regulatory Technology (RegTech) Market Research Reports provides information regarding market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution and forecast 2027.
Get sample copy of Regulatory Technology (RegTech) Market report @ https://www.reportsandmarkets.com/sample-request/global-regulatory-technology-regtech-market-2019-by-company-regions-type-and-application-forecast-to-2024?utm_source=germanyenglishnews&utm_medium=41
Top Key players: ASAP Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger (DDIQ),EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai,IdentityMind Global,Regbot,Arachnys
Our new sample is updated which correspond in new report showing impact of COVID-19 on Industry
The report scrutinizes different business approaches and frameworks that pave the way for success in businesses. The report used Porter’s five techniques for analyzing the Regulatory Technology (RegTech) Market; it also offers the examination of the global market. To make the report more potent and easy to understand, it consists of info graphics and diagrams. Furthermore, it has different policies and development plans which are presented in summary. It analyzes the technical barriers, other issues, and cost-effectiveness affecting the market.
Global Regulatory Technology (RegTech) Market Research Report 2020 carries in-depth case studies on the various countries which are involved in the Regulatory Technology (RegTech) market. The report is segmented according to usage wherever applicable and the report offers all this information for all major countries and associations. It offers an analysis of the technical barriers, other issues, and cost-effectiveness affecting the market. Important contents analyzed and discussed in the report include market size, operation situation, and current & future development trends of the market, market segments, business development, and consumption tendencies. Moreover, the report includes the list of major companies/competitors and their competition data that helps the user to determine their current position in the market and take corrective measures to maintain or increase their share holds.
What questions does the Regulatory Technology (RegTech) market report answer pertaining to the regional reach of the industry
The report claims to split the regional scope of the Regulatory Technology (RegTech) market into North America, Europe, Asia-Pacific, South America & Middle East and Africa. Which among these regions has been touted to amass the largest market share over the anticipated duration
How do the sales figures look at present How does the sales scenario look for the future
Considering the present scenario, how much revenue will each region attain by the end of the forecast period
How much is the market share that each of these regions has accumulated presently
How much is the growth rate that each topography will depict over the predicted timeline
A short overview of the Regulatory Technology (RegTech) market scope:
Global market remuneration
Overall projected growth rate
Industry trends
Competitive scope
Product range
Application landscape
Supplier analysis
Marketing channel trends – Now and later
Sales channel evaluation
Market Competition Trend
Market Concentration Rate
Reasons for Buying this Report
This report provides pin-point analysis for changing competitive dynamics
It provides a forward looking perspective on different factors driving or restraining market growth
It provides a six-year forecast assessed on the basis of how the market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments
TABLE OF CONTENT:
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
13 Market Forecast 2020-2027
14 Analyst’s Viewpoints/Conclusions
15 Appendix
Get 10% Discount on Regulatory Technology (RegTech) Market @ https://www.reportsandmarkets.com/check-discount/global-regulatory-technology-regtech-market-2019-by-company-regions-type-and-application-forecast-to-2024?utm_source=germanyenglishnews&utm_medium=41
About Us:
Reports And Markets is part of the Algoro Research Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Are you mastering your market? Do you know what the market potential is for your product, who the market players are and what the growth forecast is? We offer standard global, regional or country specific market research studies for almost every market you can imagine.
Contact Us:
Sanjay Jain
Manager – Partner Relations & International Marketing
www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
Author Recent Posts [email protected] Latest posts by [email protected] (see all) Farmland Services Market Growth, Overview with Detailed Analysis 2020-2026| First Mid Bancshares (First Mid Wealth Management),Hancock Farmland Services,Manulife Farmland Services Canada,Waibel Farmland - April 13, 2020 Casino Management Software (CMS) Market Growth Data Analysis 2020-2026, Trives Global Gaming Industry- Ensico Gaming DOO, Hconn, Honeywell, International Game Technology, Konami, Bally Technologies, Bluberi Gaming Technologies - April 13, 2020 Unified Communication-as-a-Service in Banking Market Growth, Overview with Detailed Analysis 2020-2026| RingCentral, Inc., 8X8 Inc., West Unified Communications Services, Inc., Cisco Systems Inc., Fuze Inc., Avaya Inc. - April 13, 2020
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Global Regulatory Technology (RegTech) Market 2019-2025
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Global Regulatory Technology RegTech Market 20192025 Top key players Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger DDIQ,EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai Germany English News Skip content Monday, April 13, 2020 Home Us Our Journalists Germany English News Space, Satellite Market Reports German News News Space Satellites Crypto Technology Electric Market Report Us You hereHomeGerman News2020April13Global Regulatory Technology RegTech Market 20192025 Top key players Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger DDIQ,EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai Global Regulatory Technology RegTech Market 20192025 Top key players Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger DDIQ,EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai April 13, 2020 [emailprotected] Market Press Release, Regulatory Technology RegTech, Regulatory Technology RegTech Market, Regulatory Technology RegTech Market Analysis, Regulatory Technology RegTech Market Industry Analysis, Regulatory Technology RegTech Market Insights, Regulatory Technology RegTech Market Opportunities, Regulatory Technology RegTech Market Outlook, Regulatory Technology RegTech Market Research Companies, Regulatory Technology RegTech Market Research Company, Regulatory Technology RegTech Market Segmentation, Regulatory Technology RegTech Market Status, Regulatory Technology RegTech Market Trend, Scope Growth In Regulatory Technology RegTech, Trends In Regulatory Technology RegTech Market Global Regulatory Technology RegTech Market 2019 Company, Regions, Type Application, Forecast 2024 The Regulatory Technology RegTech Market 2020 report includes market strategy, market orientation, expert opinion knowledgeable information. The Regulatory Technology RegTech Industry Report indepth study analyzing current state Regulatory Technology RegTech Market. It provides brief overview market focusing definitions, classifications, product specifications, manufacturing processes, cost structures, market segmentation, enduse applications industry chain analysis. The study Regulatory Technology RegTech Market provides analysis market covering industry trends, recent developments market competitive landscape. Global Regulatory Technology RegTech MarketResearch Reports provides information market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution forecast 2027. Get sample copy Regulatory Technology RegTech Marketreport @ Top Key players:ASAP Bearingpoint,MetricStream,NICE Actimize,Broadridge,Traiana,Finastra,Targens GmbH,Acin,Fenergo,Accuity,Lombard Risk,Agreement Express,Exiger DDIQ,EastNets,Amlpartners,Sysnet Global Solutions,MindBridge Ai,IdentityMind Global,Regbot,Arachnys Our new sample updated correspond new report showing impact COVID19 Industry The report scrutinizes different business approaches frameworks pave way success businesses. The report Porters techniques analyzing Regulatory Technology RegTech Market; offers examination global market. To report potent easy understand, consists info graphics diagrams. Furthermore, different policies development plans presented summary. It analyzes technical barriers, issues, costeffectiveness affecting market. Global Regulatory Technology RegTech Market Research Report 2020 carries indepth case studies countries involved Regulatory Technology RegTech market. The report segmented according usage applicable report offers information major countries associations. It offers analysis technical barriers, issues, costeffectiveness affecting market. Important contents analyzed discussed report include market size, operation situation, current future development trends market, market segments, business development, consumption tendencies. Moreover, report includes list major companiescompetitors competition data helps user determine current position market corrective measures maintain increase share holds. What questions Regulatory Technology RegTech market report answer pertaining regional reach industry The report claims split regional scope Regulatory Technology RegTech market North America, Europe, AsiaPacific, South America Middle East Africa. Which regions touted amass largest market share anticipated duration How sales figures look present How sales scenario look future Considering present scenario, revenue region attain end forecast period How market share regions accumulated presently How growth rate topography depict predicted timeline A short overview Regulatory Technology RegTech market scope: Global market remuneration Overall projected growth rate Industry trends Competitive scope Product range Application landscape Supplier analysis Marketing channel trends Now later Sales channel evaluation Market Competition Trend Market Concentration Rate Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forward looking perspective different factors driving restraining market growth It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments TABLE OF CONTENT: 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application 5 United States 6 Europe 7 China 8 Japan 9 Southeast Asia 10 India 11 Central South America 12 International Players Profiles 13 Market Forecast 20202027 14 Analysts ViewpointsConclusions 15 Appendix Get 10 Discount Regulatory Technology RegTech Market @ : Reports And Markets Algoro Research Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Are mastering market? Do know market potential product, market players growth forecast is? We offer standard global, regional country specific market research studies market imagine. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Author Recent Posts [emailprotected] Latest posts [emailprotected] Farmland Services Market Growth, Overview Detailed Analysis 20202026 First Mid Bancshares First Mid Wealth Management,Hancock Farmland Services,Manulife Farmland Services Canada,Waibel Farmland April 13, 2020 Casino Management Software CMSMarket Growth Data Analysis 20202026, Trives Global Gaming Industry Ensico Gaming DOO, Hconn, Honeywell, International Game Technology, Konami, Bally Technologies, Bluberi Gaming Technologies April 13, 2020 Unified CommunicationasaService Banking Market Growth, Overview Detailed Analysis 20202026 RingCentral, ., 8X8 ., West Unified Communications Services, ., Cisco Systems ., Fuze ., Avaya . 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Recent Posts Farmland Services Market Growth, Overview Detailed Analysis 20202026 First Mid Bancshares First Mid Wealth Management,Hancock Farmland Services,Manulife Farmland Services Canada,Waibel Farmland Latest Update 2020: Ophthalmic Laser Medical Equipments Market COVID19 Impact Analysis And Top Manufacturers: Abbot, Zeiss, Ziemer, Lumenis, Novartis AG, etc. Latest News 2020: Yeastbased Spreads Market analysis COVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Bega Cheese, Unilever, Dick Smith Foods, Mote Hall, Mars Foods, etc. Global Lactose Free Sour Cream Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Valio, Redwood Hill Farm Creamery, Regal Cream Products, Gay Lea Foods Cooperative, Barambah Organics, etc. Latest Update 2020: Operation Light Market COVID19 Impact Analysis And Top Manufacturers: Quayle Dental, Heal Force BioMeditech Holdings, Sarthak Meditech PVT LTD, Jiangsu Keling Medical Appliances, Brandon Medical, etc. All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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Artificial Intelligence (AI) Software Market Overview, Growth Analysis, Opportunities, Trends and Forecast to 2026 – German Market Reports
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You are hereHomeGerman News2020April22Artificial Intelligence (AI) Software Market Overview, Growth Analysis, Opportunities, Trends and Forecast to 2026
Artificial Intelligence (AI) Software Market Overview, Growth Analysis, Opportunities, Trends and Forecast to 2026
April 22, 2020April 18, 2020 Market Research Intellect Artificial Intelligence (AI) Software Market Analysis, Artificial Intelligence (AI) Software Market Forecast, Artificial Intelligence (AI) Software Market Growth, Artificial Intelligence (AI) Software Market Size, Artificial Intelligence (AI) Software Market Trends
The Artificial Intelligence (AI) Software Market report provides a fine intelligence that prepares market participants to compete well with their toughest competitors based on growth, sales and other important factors. The research study focuses on key growth opportunities and market trends outside of critical market dynamics, including drivers and market challenges. With the help of this report, interested parties can prepare themselves for developments in the Artificial Intelligence (AI) Software branch and position themselves on the market for the coming years. The report includes market development statistics, a list of selected key players, an in-depth regional analysis and a comprehensive market segmentation study to provide a thorough understanding of the Artificial Intelligence (AI) Software market.
Get | Download Sample Copy @ https://www.marketresearchintellect.com/download-sample/?rid=171796&utm_source=GEN&utm_medium=888
The Artificial Intelligence (AI) Software Market Report mainly contains the following Manufacturers:
Datadog
ManageEngine
GROWITHIS
Ai Field Management
Acobot
WebHR
Sisense
ESRI
Timely
Lumen5
LiveChat
Anodot
Brainasoft
AppDynamics
Atomic Reach
Keatext
FirstScreen
AnswerRocket
Grooper
Botmind
DontGo
The report is created using advanced primary and secondary research techniques and sophisticated market analysis tools. Our analysts conduct personal and telephone interviews to gather information about the Artificial Intelligence (AI) Software industry. They also refer to corporate websites, government documents, press releases, annual and financial reports, as well as databases of organizations in authority positions in the Artificial Intelligence (AI) Software industry. We do not include any data or information in the report unless it is checked against reliable bodies.
The report contains a detailed analysis of the competitive landscape and the profiling of the most important competitors on the Artificial Intelligence (AI) Software market. The authors of the report want to give readers a comprehensive assessment of the supplier landscape and inform them about current and future changes. The competition analysis proposed in the report includes the market share, gross margin, product portfolio, consumption, market conditions and technologies of the main players in the Artificial Intelligence (AI) Software market.
The report provides a general explanation of the presence of the Artificial Intelligence (AI) Software market in different regions and countries. With a thorough regional analysis of the Artificial Intelligence (AI) Software market, research analysts are trying to uncover hidden growth prospects available to players from different parts of the world. They accurately estimate market share, CAGR, production, consumption, price, income and other key factors that indicate the growth of the regional markets examined in the report. They also stressed the presence of key players in regional markets and how this affects the growth of regional markets.
Ask For Discount (Special Offer: Get 25% discount on this report) @ https://www.marketresearchintellect.com/ask-for-discount/?rid=171796&utm_source=GEN&utm_medium=888
What will the report contain?
Market Dynamics: The report contains important information on influencing factors, market drivers, challenges, opportunities and market trends as part of the market dynamics.
Global Market Forecast: Readers receive production and sales forecasts for the Artificial Intelligence (AI) Software market, production and consumption forecasts for regional markets, production, sales and price forecasts for the Artificial Intelligence (AI) Software market by type and consumption forecasts for the Artificial Intelligence (AI) Software market per application.
Regional Market Analysis: It can be divided into two different sections: one for the analysis of regional production and one for the analysis of regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, and other factors that indicate the growth of all regional markets examined in the report.
Market Competition: In this section, the report provides information on the situation and trends of competition, including mergers and acquisitions and expansion, the market shares of the three or five main players and the concentration of the market. Readers could also get the production, revenue, and average price shares of manufacturers.
Key Players: The report provides company profiles for a decent number of leading players in the Artificial Intelligence (AI) Software market. It shows your current and future market growth taking into account price, gross margin, income, production, service areas, production locations and other factors.
Complete Report is Available @ https://www.marketresearchintellect.com/product/global-artificial-intelligence-ai-software-market-size-forecast/?utm_source=GEN&utm_medium=888
We also offer customization on reports based on specific client requirement:
1- Free country level analysis for any 5 countries of your choice.
2- Free Competitive analysis of any market players.
3- Free 40 analyst hours to cover any other data points
About Us:
Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage and more. These reports deliver an in-depth study of the market with industry analysis, market value for regions and countries and trends that are pertinent to the industry.
Contact Us:
Mr. Steven FernandesMarket Research IntellectNew Jersey ( USA )Tel: +1-650-781-4080
Email: [email protected]
Tags: Artificial Intelligence (AI) Software Market Size, Artificial Intelligence (AI) Software Market Growth, Artificial Intelligence (AI) Software Market Forecast, Artificial Intelligence (AI) Software Market Analysis
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Artificial Intelligence AI Software Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 German Market Reports Skip content Wednesday, April 22, 2020 Home Us Our Journalists German Market Reports Space, Satellite Market Reports German News News Space Satellites Crypto Technology Electric Market Report Us You hereHomeGerman News2020April22Artificial Intelligence AI Software Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 Artificial Intelligence AI Software Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 April 22, 2020April 18, 2020 Market Research Intellect Artificial Intelligence AI Software Market Analysis, Artificial Intelligence AI Software Market Forecast, Artificial Intelligence AI Software Market Growth, Artificial Intelligence AI Software Market Size, Artificial Intelligence AI Software Market Trends The Artificial Intelligence AI Software Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales important factors. The research study focuses key growth opportunities market trends outside critical market dynamics, including drivers market challenges. With help report, interested parties prepare developments Artificial Intelligence AI Software branch position market coming years. The report includes market development statistics, list selected key players, indepth regional analysis comprehensive market segmentation study provide thorough understanding Artificial Intelligence AI Software market. Get Download Sample Copy @ The Artificial Intelligence AI Software Market Report mainly contains following Manufacturers: Datadog ManageEngine GROWITHIS Ai Field Management Acobot WebHR Sisense ESRI Timely Lumen5 LiveChat Anodot Brainasoft AppDynamics Atomic Reach Keatext FirstScreen AnswerRocket Grooper Botmind DontGo The report created advanced primary secondary research techniques sophisticated market analysis tools. Our analysts conduct personal telephone interviews gather information Artificial Intelligence AI Software industry. They refer corporate websites, government documents, press releases, annual financial reports, databases organizations authority positions Artificial Intelligence AI Software industry. We include data information report checked reliable bodies. The report contains detailed analysis competitive landscape profiling important competitors Artificial Intelligence AI Software market. The authors report want readers comprehensive assessment supplier landscape inform current future changes. The competition analysis proposed report includes market share, gross margin, product portfolio, consumption, market conditions technologies main players Artificial Intelligence AI Software market. The report provides general explanation presence Artificial Intelligence AI Software market different regions countries. With thorough regional analysis Artificial Intelligence AI Software market, research analysts trying uncover hidden growth prospects available players different parts world. They accurately estimate market share, CAGR, production, consumption, price, income key factors indicate growth regional markets examined report. They stressed presence key players regional markets affects growth regional markets. Ask For Discount Special Offer: Get 25 discount report @ What report contain? Market Dynamics: The report contains important information influencing factors, market drivers, challenges, opportunities market trends market dynamics. Global Market Forecast: Readers receive production sales forecasts Artificial Intelligence AI Software market, production consumption forecasts regional markets, production, sales price forecasts Artificial Intelligence AI Software market type consumption forecasts Artificial Intelligence AI Software market application. Regional Market Analysis: It divided different sections: analysis regional production analysis regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, factors indicate growth regional markets examined report. Market Competition: In section, report provides information situation trends competition, including mergers acquisitions expansion, market shares main players concentration market. Readers production, revenue, average price shares manufacturers. Key Players: The report provides company profiles decent number leading players Artificial Intelligence AI Software market. It shows current future market growth taking account price, gross margin, income, production, service areas, production locations factors. Complete Report Available @ We offer customization reports based specific client requirement: 1Freecountry level analysis forany 5 countriesof choice. 2FreeCompetitive analysis market players. 3Free 40 analyst hoursto cover data points : Market Research Intellect provides syndicated customized research reports clients industries organizations aim delivering functional expertise. We provide reports industries including Energy, Technology, Manufacturing Construction, Chemicals Materials, Food Beverage more. These reports deliver indepth study market industry analysis, market value regions countries trends pertinent industry. Us: Mr. Steven FernandesMarket Research IntellectNew Jersey USA Tel: 16507814080 Email: [emailprotected] Tags: Artificial Intelligence AI Software Market Size, Artificial Intelligence AI Software Market Growth, Artificial Intelligence AI Software Market Forecast, Artificial Intelligence AI Software Market Analysis Our Trending Reports Automotive Semiconductor Market Size, Growth Analysis, Opportunities, Business Outlook Forecast 2026 Author Recent Posts Market Research Intellect Latest posts Market Research Intellect AntiAging Drugs And Devices Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 April 22, 2020 Shared Mobility Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 April 22, 2020 Aerospace Parts Manufacturing Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 April 22, 2020 Post navigation Impact COVID19 Outbreak Integrated Quantum Optical Circuits Market 10year Integrated Quantum Optical Circuits Market Forecast Trends Analysis Research ReportWireless LAN Controllers WLAN Controllers Market Is Expected Foresee Outstanding Growth 2026 Related posts AntiAging Drugs And Devices Market Overview, Growth Analysis, Opportunities, Trends Forecast 2026 April 22, 2020April 18, 2020 Market Research IntellectAnti Aging Drugs And Devices Market Analysis, Anti Aging Drugs And Devices Market Forecast, Anti Aging Drugs And Devices Market Growth, Anti Aging Drugs And Devices Market Size, Anti Aging Drugs And Devices Market Trends Author Recent Posts Market Research Intellect Latest posts Market Research Intellect AntiAging Drugs... 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Covid-19 Impact on Wafer Dicing Tape Market Study for 2020 to 2026 Providing Information on Key Players, Growth Drivers and Industry Challenges|Nitto, Lintec Corporation, AI Technology – German Market Reports
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Covid-19 Impact on Wafer Dicing Tape Market Study for 2020 to 2026 Providing Information on Key Players, Growth Drivers and Industry Challenges|Nitto, Lintec Corporation, AI Technology – German Market Reports
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You are hereHomeMarket Report2020May1Covid-19 Impact on Wafer Dicing Tape Market Study for 2020 to 2026 Providing Information on Key Players, Growth Drivers and Industry Challenges|Nitto, Lintec Corporation, AI Technology
Covid-19 Impact on Wafer Dicing Tape Market Study for 2020 to 2026 Providing Information on Key Players, Growth Drivers and Industry Challenges|Nitto, Lintec Corporation, AI Technology
May 1, 2020 rahul
Complete study of the global Covid-19 Impact on Wafer Dicing Tape market is carried out by the analysts in this report, taking into consideration key factors like drivers, challenges, recent trends, opportunities, advancements, and competitive landscape. This report offers a clear understanding of the present as well as future scenario of the global Covid-19 Impact on Wafer Dicing Tape industry. Research techniques like PESTLE and Porter’s Five Forces analysis have been deployed by the researchers. They have also provided accurate data on Covid-19 Impact on Wafer Dicing Tape production, capacity, price, cost, margin, and revenue to help the players gain a clear understanding into the overall existing and future market situation.
Key companies operating in the global Covid-19 Impact on Wafer Dicing Tape market include Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc.
Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) :
https://www.qyresearch.com/sample-form/form/1696209/covid-19-impact-on-wafer-dicing-tape-market
Segmental Analysis
The report has classified the global Covid-19 Impact on Wafer Dicing Tape industry into segments including product type and application. Every segment is evaluated based on growth rate and share. Besides, the analysts have studied the potential regions that may prove rewarding for the Covid-19 Impact on Wafer Dicing Tape manufcaturers in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall Covid-19 Impact on Wafer Dicing Tape industry.
Global Covid-19 Impact on Wafer Dicing Tape Market Segment By Type:
, Double Coated Type, Single Coated Type
Global Covid-19 Impact on Wafer Dicing Tape Market Segment By Application:
Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc. Based on the Region:, Asia-Pacific (China, Japan, South Korea, India and ASEAN), North America (US and Canada), Europe (Germany, France, UK and Italy), Rest of World (Latin America, Middle East & Africa) Based on the Type:, Double Coated Type, Single Coated Type Based on the Application:, Die to Substrate, Die to Die, Film on Wire
Competitive Landscape
It is important for every market participant to be familiar with the competitive scenario in the global Covid-19 Impact on Wafer Dicing Tape industry. In order to fulfil the requirements, the industry analysts have evaluated the strategic activities of the competitors to help the key players strengthen their foothold in the market and increase their competitiveness.
Key companies operating in the global Covid-19 Impact on Wafer Dicing Tape market include Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc.
Key questions answered in the report:
What is the growth potential of the Covid-19 Impact on Wafer Dicing Tape market?
Which product segment will grab a lion’s share?
Which regional market will emerge as a frontrunner in the coming years?
Which application segment will grow at a robust rate?
What are the growth opportunities that may emerge in the Covid-19 Impact on Wafer Dicing Tape industry in the years to come?
What are the key challenges that the global Covid-19 Impact on Wafer Dicing Tape market may face in the future?
Which are the leading companies in the global Covid-19 Impact on Wafer Dicing Tape market?
Which are the key trends positively impacting the market growth?
Which are the growth strategies considered by the players to sustain hold in the global Covid-19 Impact on Wafer Dicing Tape market
Get Full Report in your inbox within 24 hours at USD(3250): https://www.qyresearch.com/settlement/pre/bd70dda77f2775d4984e60deb6f37538,0,1,covid-19-impact-on-wafer-dicing-tape-market
TOC
1.1 Research Scope1.2 Market Segmentation1.3 Research Objectives1.4 Research Methodology1.4.1 Research Process1.4.2 Data Triangulation1.4.3 Research Approach1.4.4 Base Year1.5 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth1.5.1 Covid-19 Impact: Global GDP Growth, 2019, 2020 and 2021 Projections1.5.2 Covid-19 Impact: Commodity Prices Indices1.5.3 Covid-19 Impact: Global Major Government Policy1.6 The Covid-19 Impact on Wafer Dicing Tape Industry1.7 COVID-19 Impact: Wafer Dicing Tape Market Trends 2 Global Wafer Dicing Tape Quarterly Market Size Analysis2.1 Wafer Dicing Tape Business Impact Assessment – COVID-192.1.1 Global Wafer Dicing Tape Market Size, Pre-COVID-19 and Post- COVID-19 Comparison, 2015-20262.1.2 Global Wafer Dicing Tape Price, Pre-COVID-19 and Post- COVID-19 Comparison, 2015-20262.2 Global Wafer Dicing Tape Quarterly Market Size 2020-20212.3 COVID-19-Driven Market Dynamics and Factor Analysis2.3.1 Drivers2.3.2 Restraints2.3.3 Opportunities2.3.4 Challenges 3 Quarterly Competitive Assessment, 20203.1 Global Wafer Dicing Tape Quarterly Market Size by Manufacturers, 2019 VS 20203.2 Global Wafer Dicing Tape Factory Price by Manufacturers3.3 Location of Key Manufacturers Wafer Dicing Tape Manufacturing Factories and Area Served3.4 Date of Key Manufacturers Enter into Wafer Dicing Tape Market3.5 Key Manufacturers Wafer Dicing Tape Product Offered3.6 Mergers & Acquisitions, Expansion Plans 4 Impact of Covid-19 on Wafer Dicing Tape Segments, By Type4.1 Introduction1.4.1 Double Coated Type1.4.2 Single Coated Type4.2 By Type, Global Wafer Dicing Tape Market Size, 2019-20214.2.1 By Type, Global Wafer Dicing Tape Market Size by Type, 2020-20214.2.2 By Type, Global Wafer Dicing Tape Price, 2020-2021 5 Impact of Covid-19 on Wafer Dicing Tape Segments, By Application5.1 Overview5.5.1 Die to Substrate5.5.2 Die to Die5.5.3 Film on Wire5.2 By Application, Global Wafer Dicing Tape Market Size, 2019-20215.2.1 By Application, Global Wafer Dicing Tape Market Size by Application, 2019-20215.2.2 By Application, Global Wafer Dicing Tape Price, 2020-2021 6 Geographic Analysis6.1 Introduction6.2 North America6.2.1 Macroeconomic Indicators of US6.2.2 US6.2.3 Canada6.3 Europe6.3.1 Macroeconomic Indicators of Europe6.3.2 Germany6.3.3 France6.3.4 UK6.3.5 Italy6.4 Asia-Pacific6.4.1 Macroeconomic Indicators of Asia-Pacific6.4.2 China6.4.3 Japan6.4.4 South Korea6.4.5 India6.4.6 ASEAN6.5 Rest of World6.5.1 Latin America6.5.2 Middle East and Africa 7 Company Profiles7.1 Nitto7.1.1 Nitto Business Overview7.1.2 Nitto Wafer Dicing Tape Quarterly Production and Revenue, 20207.1.3 Nitto Wafer Dicing Tape Product Introduction7.1.4 Nitto Response to COVID-19 and Related Developments7.2 Lintec Corporation7.2.1 Lintec Corporation Business Overview7.2.2 Lintec Corporation Wafer Dicing Tape Quarterly Production and Revenue, 20207.2.3 Lintec Corporation Wafer Dicing Tape Product Introduction7.2.4 Lintec Corporation Response to COVID-19 and Related Developments7.3 AI Technology7.3.1 AI Technology Business Overview7.3.2 AI Technology Wafer Dicing Tape Quarterly Production and Revenue, 20207.3.3 AI Technology Wafer Dicing Tape Product Introduction7.3.4 AI Technology Response to COVID-19 and Related Developments7.4 Semiconductor Equipment7.4.1 Semiconductor Equipment Business Overview7.4.2 Semiconductor Equipment Wafer Dicing Tape Quarterly Production and Revenue, 20207.4.3 Semiconductor Equipment Wafer Dicing Tape Product Introduction7.4.4 Semiconductor Equipment Response to COVID-19 and Related Developments7.5 Sumitomo Bakelite7.5.1 Sumitomo Bakelite Business Overview7.5.2 Sumitomo Bakelite Wafer Dicing Tape Quarterly Production and Revenue, 20207.5.3 Sumitomo Bakelite Wafer Dicing Tape Product Introduction7.5.4 Sumitomo Bakelite Response to COVID-19 and Related Developments7.6 Minitron7.6.1 Minitron Business Overview7.6.2 Minitron Wafer Dicing Tape Quarterly Production and Revenue, 20207.6.3 Minitron Wafer Dicing Tape Product Introduction7.6.4 Minitron Response to COVID-19 and Related Developments7.7 NPMT7.7.1 NPMT Business Overview7.7.2 NPMT Wafer Dicing Tape Quarterly Production and Revenue, 20207.7.3 NPMT Wafer Dicing Tape Product Introduction7.7.4 NPMT Response to COVID-19 and Related Developments7.8 Denka7.8.1 Denka Business Overview7.8.2 Denka Wafer Dicing Tape Quarterly Production and Revenue, 20207.8.3 Denka Wafer Dicing Tape Product Introduction7.8.4 Denka Response to COVID-19 and Related Developments7.9 Hitachi Chemical7.9.1 Hitachi Chemical Business Overview7.9.2 Hitachi Chemical Wafer Dicing Tape Quarterly Production and Revenue, 20207.9.3 Hitachi Chemical Wafer Dicing Tape Product Introduction7.9.4 Hitachi Chemical Response to COVID-19 and Related Developments7.10 Furukawa Electric7.10.1 Furukawa Electric Business Overview7.10.2 Furukawa Electric Wafer Dicing Tape Quarterly Production and Revenue, 20207.10.3 Furukawa Electric Wafer Dicing Tape Product Introduction7.10.4 Furukawa Electric Response to COVID-19 and Related Developments7.11 3M Company7.11.1 3M Company Business Overview7.11.2 3M Company Wafer Dicing Tape Quarterly Production and Revenue, 20207.11.3 3M Company Wafer Dicing Tape Product Introduction7.11.4 3M Company Response to COVID-19 and Related Developments7.12 Mitsui Chemicals7.12.1 Mitsui Chemicals Business Overview7.12.2 Mitsui Chemicals Wafer Dicing Tape Quarterly Production and Revenue, 20207.12.3 Mitsui Chemicals Wafer Dicing Tape Product Introduction7.12.4 Mitsui Chemicals Response to COVID-19 and Related Developments 8 Supply Chain and Sales Channels Analysis8.1 Wafer Dicing Tape Supply Chain Analysis8.1.1 Wafer Dicing Tape Supply Chain Analysis8.1.2 Covid-19 Impact on Wafer Dicing Tape Supply Chain8.2 Distribution Channels Analysis8.2.1 Wafer Dicing Tape Distribution Channels8.2.2 Covid-19 Impact on Wafer Dicing Tape Distribution Channels8.2.3 Wafer Dicing Tape Distributors8.3 Wafer Dicing Tape Customers 9 Key Findings 10 Appendix10.1 About Us10.2 Disclaimer
About Us:
QYResearch always pursuits high product quality with the belief that quality is the soul of business. Through years of effort and supports from huge number of customer supports, QYResearch consulting group has accumulated creative design methods on many high-quality markets investigation and research team with rich experience. Today, QYResearch has become the brand of quality assurance in consulting industry.
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Covid-19 Impact on Wafer Dicing Tape Market Study for 2020 to 2026 Providing Information on Key Players, Growth Drivers and Industry Challenges
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Covid19 Impact Wafer Dicing Tape Market Study 2020 2026 Providing Information Key Players, Growth Drivers Industry ChallengesNitto, Lintec Corporation, AI Technology German Market Reports Skip content Friday, May 1, 2020 Home Us Our Journalists German Market Reports Space, Satellite Market Reports German News News Space Satellites Crypto Technology Electric Market Report Us You hereHomeMarket Report2020May1Covid19 Impact Wafer Dicing Tape Market Study 2020 2026 Providing Information Key Players, Growth Drivers Industry ChallengesNitto, Lintec Corporation, AI Technology Covid19 Impact Wafer Dicing Tape Market Study 2020 2026 Providing Information Key Players, Growth Drivers Industry ChallengesNitto, Lintec Corporation, AI Technology May 1, 2020 rahul Complete study global Covid19 Impact Wafer Dicing Tape market carried analysts report, taking consideration key factors like drivers, challenges, recent trends, opportunities, advancements, competitive landscape. This report offers clear understanding present future scenario global Covid19 Impact Wafer Dicing Tape industry. Research techniques like PESTLE Porters Five Forces analysis deployed researchers. They provided accurate data Covid19 Impact Wafer Dicing Tape production, capacity, price, cost, margin, revenue help players gain clear understanding overall existing future market situation. Key companies operating global Covid19 Impact Wafer Dicing Tape market include Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc. Get PDF Sample Copy Report understand structure complete report: luding Full TOC, List Tables Figures, Chart : Segmental Analysis The report classified global Covid19 Impact Wafer Dicing Tape industry segments including product type application. Every segment evaluated based growth rate share. Besides, analysts studied potential regions prove rewarding Covid19 Impact Wafer Dicing Tape manufcaturers coming years. The regional analysis includes reliable predictions value volume, helping market players gain deep insights overall Covid19 Impact Wafer Dicing Tape industry. Global Covid19 Impact Wafer Dicing Tape Market Segment By Type: , Double Coated Type, Single Coated Type Global Covid19 Impact Wafer Dicing Tape Market Segment By Application: Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc. Based Region:, AsiaPacific China, Japan, South Korea, India ASEAN, North America US Canada, Europe Germany, France, UK Italy, Rest World Latin America, Middle East Africa Based Type:, Double Coated Type, Single Coated Type Based Application:, Die Substrate, Die Die, Film Wire Competitive Landscape It important market participant familiar competitive scenario global Covid19 Impact Wafer Dicing Tape industry. In order fulfil requirements, industry analysts evaluated strategic activities competitors help key players strengthen foothold market increase competitiveness. Key companies operating global Covid19 Impact Wafer Dicing Tape market include Nitto, Lintec Corporation, AI Technology, Semiconductor Equipment, Sumitomo Bakelite, Minitron, NPMT, Denka, Hitachi Chemical, Furukawa Electric, 3M Company, Mitsui Chemicals, etc. Key questions answered report: What growth potential Covid19 Impact Wafer Dicing Tape market? Which product segment grab lions share? Which regional market emerge frontrunner coming years? Which application segment grow robust rate? What growth opportunities emerge Covid19 Impact Wafer Dicing Tape industry years come? What key challenges global Covid19 Impact Wafer Dicing Tape market face future? Which leading companies global Covid19 Impact Wafer Dicing Tape market? Which key trends positively impacting market growth? Which growth strategies considered players sustain hold global Covid19 Impact Wafer Dicing Tape market Get Full Report inbox 24 hours USD3250: TOC 1.1 Research Scope1.2 Market Segmentation1.3 Research Objectives1.4 Research Methodology1.4.1 Research Process1.4.2 Data Triangulation1.4.3 Research Approach1.4.4 Base Year1.5 Coronavirus Disease 2019 Covid19 Impact Will Have Severe Impact Global Growth1.5.1 Covid19 Impact: Global GDP Growth, 2019, 2020 2021 Projections1.5.2 Covid19 Impact: Commodity Prices Indices1.5.3 Covid19 Impact: Global Major Government Policy1.6 The Covid19 Impact Wafer Dicing Tape Industry1.7 COVID19 Impact: Wafer Dicing Tape Market Trends 2 Global Wafer Dicing Tape Quarterly Market Size Analysis2.1 Wafer Dicing Tape Business Impact Assessment COVID192.1.1 Global Wafer Dicing Tape Market Size, PreCOVID19 Post COVID19 Comparison, 201520262.1.2 Global Wafer Dicing Tape Price, PreCOVID19 Post COVID19 Comparison, 201520262.2 Global Wafer Dicing Tape Quarterly Market Size 202020212.3 COVID19Driven Market Dynamics Factor Analysis2.3.1 Drivers2.3.2 Restraints2.3.3 Opportunities2.3.4 Challenges 3 Quarterly Competitive Assessment, 20203.1 Global Wafer Dicing Tape Quarterly Market Size Manufacturers, 2019 VS 20203.2 Global Wafer Dicing Tape Factory Price Manufacturers3.3 Location Key Manufacturers Wafer Dicing Tape Manufacturing Factories Area Served3.4 Date Key Manufacturers Enter Wafer Dicing Tape Market3.5 Key Manufacturers Wafer Dicing Tape Product Offered3.6 Mergers Acquisitions, Expansion Plans 4 Impact Covid19 Wafer Dicing Tape Segments, By Type4.1 Introduction1.4.1 Double Coated Type1.4.2 Single Coated Type4.2 By Type, Global Wafer Dicing Tape Market Size, 201920214.2.1 By Type, Global Wafer Dicing Tape Market Size Type, 202020214.2.2 By Type, Global Wafer Dicing Tape Price, 20202021 5 Impact Covid19 Wafer Dicing Tape Segments, By Application5.1 Overview5.5.1 Die Substrate5.5.2 Die Die5.5.3 Film Wire5.2 By Application, Global Wafer Dicing Tape Market Size, 201920215.2.1 By Application, Global Wafer Dicing Tape Market Size Application, 201920215.2.2 By Application, Global Wafer Dicing Tape Price, 20202021 6 Geographic Analysis6.1 Introduction6.2 North America6.2.1 Macroeconomic Indicators US6.2.2 US6.2.3 Canada6.3 Europe6.3.1 Macroeconomic Indicators Europe6.3.2 Germany6.3.3 France6.3.4 UK6.3.5 Italy6.4 AsiaPacific6.4.1 Macroeconomic Indicators AsiaPacific6.4.2 China6.4.3 Japan6.4.4 South Korea6.4.5 India6.4.6 ASEAN6.5 Rest World6.5.1 Latin America6.5.2 Middle East Africa 7 Company Profiles7.1 Nitto7.1.1 Nitto Business Overview7.1.2 Nitto Wafer Dicing Tape Quarterly Production Revenue, 20207.1.3 Nitto Wafer Dicing Tape Product Introduction7.1.4 Nitto Response COVID19 Related Developments7.2 Lintec Corporation7.2.1 Lintec Corporation Business Overview7.2.2 Lintec Corporation Wafer Dicing Tape Quarterly Production Revenue, 20207.2.3 Lintec Corporation Wafer Dicing Tape Product Introduction7.2.4 Lintec Corporation Response COVID19 Related Developments7.3 AI Technology7.3.1 AI Technology Business Overview7.3.2 AI Technology Wafer Dicing Tape Quarterly Production Revenue, 20207.3.3 AI Technology Wafer Dicing Tape Product Introduction7.3.4 AI Technology Response COVID19 Related Developments7.4 Semiconductor Equipment7.4.1 Semiconductor Equipment Business Overview7.4.2 Semiconductor Equipment Wafer Dicing Tape Quarterly Production Revenue, 20207.4.3 Semiconductor Equipment Wafer Dicing Tape Product Introduction7.4.4 Semiconductor Equipment Response COVID19 Related Developments7.5 Sumitomo Bakelite7.5.1 Sumitomo Bakelite Business Overview7.5.2 Sumitomo Bakelite Wafer Dicing Tape Quarterly Production Revenue, 20207.5.3 Sumitomo Bakelite Wafer Dicing Tape Product Introduction7.5.4 Sumitomo Bakelite Response COVID19 Related Developments7.6 Minitron7.6.1 Minitron Business Overview7.6.2 Minitron Wafer Dicing Tape Quarterly Production Revenue, 20207.6.3 Minitron Wafer Dicing Tape Product Introduction7.6.4 Minitron Response COVID19 Related Developments7.7 NPMT7.7.1 NPMT Business Overview7.7.2 NPMT Wafer Dicing Tape Quarterly Production Revenue, 20207.7.3 NPMT Wafer Dicing Tape Product Introduction7.7.4 NPMT Response COVID19 Related Developments7.8 Denka7.8.1 Denka Business Overview7.8.2 Denka Wafer Dicing Tape Quarterly Production Revenue, 20207.8.3 Denka Wafer Dicing Tape Product Introduction7.8.4 Denka Response COVID19 Related Developments7.9 Hitachi Chemical7.9.1 Hitachi Chemical Business Overview7.9.2 Hitachi Chemical Wafer Dicing Tape Quarterly Production Revenue, 20207.9.3 Hitachi Chemical Wafer Dicing Tape Product Introduction7.9.4 Hitachi Chemical Response COVID19 Related Developments7.10 Furukawa Electric7.10.1 Furukawa Electric Business Overview7.10.2 Furukawa Electric Wafer Dicing Tape Quarterly Production Revenue, 20207.10.3 Furukawa Electric Wafer Dicing Tape Product Introduction7.10.4 Furukawa Electric Response COVID19 Related Developments7.11 3M Company7.11.1 3M Company Business Overview7.11.2 3M Company Wafer Dicing Tape Quarterly Production Revenue, 20207.11.3 3M Company Wafer Dicing Tape Product Introduction7.11.4 3M Company Response COVID19 Related Developments7.12 Mitsui Chemicals7.12.1 Mitsui Chemicals Business Overview7.12.2 Mitsui Chemicals Wafer Dicing Tape Quarterly Production Revenue, 20207.12.3 Mitsui Chemicals Wafer Dicing Tape Product Introduction7.12.4 Mitsui Chemicals Response COVID19 Related Developments 8 Supply Chain Sales Channels Analysis8.1 Wafer Dicing Tape Supply Chain Analysis8.1.1 Wafer Dicing Tape Supply Chain Analysis8.1.2 Covid19 Impact Wafer Dicing Tape Supply Chain8.2 Distribution Channels Analysis8.2.1 Wafer Dicing Tape Distribution Channels8.2.2 Covid19 Impact Wafer Dicing Tape Distribution Channels8.2.3 Wafer Dicing Tape Distributors8.3 Wafer Dicing Tape Customers 9 Key Findings 10 Appendix10.1 10.2 Disclaimer : QYResearch pursuits high product quality belief quality soul business. Through years effort supports huge number customer supports, QYResearch consulting group accumulated creative design methods highquality markets investigation research team rich experience. Today, QYResearch brand quality assurance consulting industry. Author Recent Posts rahul Latest posts rahul Covid19 Impact Wafer Handling Products Market Overview With Detailed Analysis, Competitive Landscape, Forecast 2026Dou Yee, YJ Stainless, ShinEtsu Polymer May 1, 2020 Covid19 Impact Wafer Ring Market Growth Top Companies, Trends Types Application, Forecast 2026Dou Yee, YJ Stainless, ShinEtsu Polymer May 1, 2020 Covid19 Impact Wafer Die Bonding Film Market Size, Analytical Overview, Growth Factors, Demand, Trends Forecast 2026Furukawa, Henkel Adhesives, LG May 1, 2020 Post navigation Covid19 Impact Wafer Frame Market Overview Industry Demand, Development Growth Forecast Report 2026Dou Yee, YJ Stainless, ShinEtsu PolymerCovid19 Impact Wafer Die Bonding Film Market Size, Analytical Overview, Growth Factors, Demand, Trends Forecast 2026Furukawa, Henkel Adhesives, LG Related posts Internal Communications Software Market Outlines Growth Factors Current State Market 2025: Monday, Zoho Cliq, CallEmAll, Slack May 1, 2020 husainInternal Communications Software, Internal Communications Software Market, Internal Communications Software Market Research, Internal Communications Software Market Research Report, Internal Communications Software market size Internal Communications Software market Survey 2020 This research report equipped information categorize for... 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] | 1 | 196,946 |
https://gizmodo.com/chatgpt-digital-assistant-ios-android-siri-google-iphon-1850344786
| 2023-05-01T00:00:00 |
en
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How to Make ChatGPT Your New Siri
|
How to Make ChatGPT Your New SiriThe A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventorySend us a Tip!ShopSubscribeThe Future Is HereWe may earn a commission from links on this pageSearchHomeLatestNewsGadgetsScienceEartherio9AISpaceEn EspañolVideoHow ToHow to Make ChatGPT Your New SiriGet an upgrade on Google Assistant or Siri with the latest AI bot.ByDavid NieldPublished6 minutes agoAlertsWe may earn a commission from links on this page.You can get to ChatGPT through Siri.Image: Miguel Tomás/UnsplashIt’s been quite a few months for ChatGPT: The AI chatbot has gone from relative obscurity to powering web searches and passing medical exams and plenty more besides, and it’s only going to get more powerful from this point on. All of which might leave you wondering if you can use it on your phone in place of those tired old digital assistants from Google and Apple, which now seem rather basic in comparison.WatchMaking the Facebook Papers Public
CCShare SubtitlesOffEnglishShare this VideoFacebookTwitterEmailRedditLinkview videoMaking the Facebook Papers PublicWhy Banning TikTok Won’t Protect Our PrivacyMarch 2, 2023Nobody’s Really Watching ReelsSeptember 16, 2022You can in fact use ChatGPT on your phone, as a sort-of-replacement for Google Assistant or Siri (though those apps will still be available alongside it). It should mean you get more detailed and nuanced responses to a lot of queries, though it won’t be as good at looking up contacts or switching off your smart lights.AdvertisementAs well as the options we’ve outlined below, it’s also worth mentioning that you can access ChatGPT through a web browser on your phone too, which may fit your needs better if you don’t need the voice access.How to Add ChatGPT to AndroidGetting ChatGPT running on Android in the style of Google Assistant means making use of the supremely powerful and versatile Tasker, a one-stop shop for all kinds of Android hacks and tricks. The app will set you back $3.49, but it’s useful in a whole host of different ways besides everything we’re discussing here. You’re also going to need the companion AutoNotification app, which is free.20% offBreville Espresso Machine Sale - 20% OffCaffeinate yourselfA whole array of Breville espresso machines—from manual to super-automatic—are on sale for 20% off.Buy at AmazonAdvertisementThe first time you launch Tasker, choose the full experience and accept all the settings prompts as they’re displayed. Next, use your phone’s browser to open this link to the custom ChatGPT project from Tasker: pick Import, then Yes to confirm the action. You then get to create a prompt that tells ChatGPT how to respond to you: you can give it a name, change its tone, and so on. The default is “You are a helpful assistant,” which is fine.Add a prompt to influence ChatGPT’s personality.Screenshot: TaskerAdvertisementYou’ll then be prompted to enter an API key for ChatGPT—this means creating an account if you don’t already have one, then heading to this page and choosing Create new secret key for Tasker to use. Note that you’ll need to add a payment method and pay for your API access: It’s based on usage and will typically be very cheap (small fractions of a cent per day), and if you want to, you can set up spending limits that you won’t be able to exceed.Paste your key into Tasker, choose Yes on the next dialog box, then choose Yes again to launch the setup routine. Next, you need to create a shortcut on the home screen: Tap and hold on a blank area of one of your phone’s home screens, choose Widgets and then Task under Tasker, and then select your widget: The key ones are New Chat, Continue Chat, and Voice Chat, and you can add them all if you’d like.AdvertisementThe interface isn’t the most polished, but it works.Screenshot: TaskerNote that the last option, enabling you to talk to ChatGPT using your voice, requires another API from the Say WaveNet service: All the instructions are here. Again, you need to register a payment method, but the free allowance is a generous one (up to four million characters a month). Otherwise, you can type out your queries to ChatGPT and get written answers back in return.AdvertisementYou can launch these tasks with Google Assistant, if you don’t think it will feel snubbed: Just say “hey Google, run [task name] in Tasker” and it will pop up. The task name can be “new chat”, “continue chat” or “voice chat”, so they’re the same as the widgets we looked at earlier. You can also say “set assistant personality” as the task name in order to change ChatGPT’s behavior on your phone.How to Add ChatGPT to iOSOver on the iPhone, we can get ChatGPT integrated through the Shortcuts app, which lets you automate all kinds of tasks and processes inside iOS (as we’ve covered previously). The custom ChatGPT shortcut that we’re using here has been put together by developer and all-round Apple enthusiast Federico Viticci. It’s called S-GPT, and it’s free to use—though you can decide to pay for a deeper technical dive into the coding and more ideas for prompts.AdvertisementAs on Android, you need a ChatGPT account, and you need to add a payment method for pay-as-you go access to the ChatGPT API—you can check up on your usage at any time, it’s very cheap (think just a dollar or two a year, typically), and there’s the option to set spending limits so there’s always a cap on how much you’re going to get charged. You’ll need to go to this page to generate a new key for S-GPT.You can make changes to the shortcut if you want to.Screenshot: ShortcutsAdvertisementTo download and install the shortcut, head to the S-GPT shortcut page in your iPhone’s browser, and pick Set Up Shortcut to paste in your API key. Note that the same shortcut can work across macOS and the Apple Watch too, if you want to access ChatGPT from your wrist or from your laptop—just make sure that you’re signed into all your devices with the same Apple ID, and your shortcuts should sync across.You also need a second companion shortcut to make all of this work, and it’s called S-GPT Encoder. Again, open up the link on your iPhone, then pick Add Shortcut, and you’re all set. From the Shortcuts tab in the Shortcuts app, you can tap on the three dots next to S-GPT to see how it all works, or tap the entire shortcut icon to launch it (the same as with any of your shortcuts).AdvertisementS-GPT can be run straight from the Shortcuts app.Screenshot: ShortcutsThe first time that you run S-GPT, you’ll need to give it permission to run the S-GPT Encoder shortcut, and to connect to the Open AI servers—once you’ve done this the first time, you shouldn’t have to do it again. As with any of your shortcuts, you can interact with S-GPT via Siri using your voice, or put a link to it on the home screen.AdvertisementThere are some really creative ways to use this S-GPT shortcut, as you’ll see if you head over to MacStories: You can get it to build Apple Music playlists based on your criteria for example, or have it process the text that’s currently on the iOS clipboard. More functionality is planned for future updates to the S-GPT shortcut as well.
|
How to Make ChatGPT Your New Siri
|
How Make ChatGPT Your New SiriThe A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventorySend TipShopThe Future Is HereWe earn commission links HomeLatestNewsGadgetsScienceEartherio9AISpaceEn EspaolVideoHow ToHow Make ChatGPT Your New SiriGet upgrade Google Assistant Siri latest AI bot.ByDavid NieldPublished6 minutes agoAlertsWe earn commission links .You ChatGPT Siri.Image: Miguel TomsUnsplashIts months ChatGPT: The AI chatbot gone relative obscurity powering web searches passing medical exams plenty besides, going powerful point on. All leave wondering use phone place tired old digital assistants Google Apple, basic comparison.WatchMaking Facebook Papers Public CCShare SubtitlesOffEnglishShare VideoFacebookTwitterEmailRedditLinkview videoMaking Facebook Papers PublicWhy Banning TikTok Wont Protect Our PrivacyMarch 2, 2023Nobodys Really Watching ReelsSeptember 16, 2022You fact use ChatGPT phone, sortofreplacement Google Assistant Siri apps available alongside it. It mean detailed nuanced responses lot queries, wont good looking contacts switching smart lights.AdvertisementAs options weve outlined below, worth mentioning access ChatGPT web browser phone too, fit needs better dont need voice access.How Add ChatGPT AndroidGetting ChatGPT running Android style Google Assistant means making use supremely powerful versatile Tasker, onestop shop kinds Android hacks tricks. The app set 3.49, useful host different ways discussing here. Youre going need companion AutoNotification app, free.20 offBreville Espresso Machine Sale 20 OffCaffeinate yourselfA array Breville espresso machinesfrom manual superautomaticare sale 20 off.Buy AmazonAdvertisementThe time launch Tasker, choose experience accept settings prompts theyre displayed. Next, use phones browser open link custom ChatGPT project Tasker: pick Import, Yes confirm action. You create prompt tells ChatGPT respond you: name, change tone, on. The default You helpful assistant, fine.Add prompt influence ChatGPTs personality.Screenshot: TaskerAdvertisementYoull prompted enter API key ChatGPTthis means creating account dont one, heading choosing Create new secret key Tasker use. Note youll need add payment method pay API access: Its based usage typically cheap small fractions cent day, want to, set spending limits wont able exceed.Paste key Tasker, choose Yes dialog box, choose Yes launch setup routine. Next, need create shortcut home screen: Tap hold blank area phones home screens, choose Widgets Task Tasker, select widget: The key ones New Chat, Continue Chat, Voice Chat, add youd like.AdvertisementThe interface isnt polished, works.Screenshot: TaskerNote option, enabling talk ChatGPT voice, requires API Say WaveNet service: All instructions here. Again, need register payment method, free allowance generous million characters month. Otherwise, type queries ChatGPT written answers return.AdvertisementYou launch tasks Google Assistant, dont think feel snubbed: Just hey Google, run [task name] Tasker pop up. The task new chat, continue chat voice chat, theyre widgets looked earlier. You set assistant personality task order change ChatGPTs behavior phone.How Add ChatGPT iOSOver iPhone, ChatGPT integrated Shortcuts app, lets automate kinds tasks processes inside iOS weve covered previously. The custom ChatGPT shortcut developer allround Apple enthusiast Federico Viticci. Its called SGPT, free usethough decide pay deeper technical dive coding ideas prompts.AdvertisementAs Android, need ChatGPT account, need add payment method payasyou access ChatGPT APIyou check usage time, cheap think dollar year, typically, theres option set spending limits theres cap youre going charged. Youll need generate new key SGPT.You changes shortcut want to.Screenshot: ShortcutsAdvertisementTo download install shortcut, head SGPT shortcut iPhones browser, pick Set Up Shortcut paste API key. Note shortcut work macOS Apple Watch too, want access ChatGPT wrist laptopjust sure youre signed devices Apple ID, shortcuts sync across.You need second companion shortcut work, called SGPT Encoder. Again, open link iPhone, pick Add Shortcut, youre set. From Shortcuts tab Shortcuts app, tap dots SGPT works, tap entire shortcut icon launch shortcuts.AdvertisementSGPT run straight Shortcuts app.Screenshot: ShortcutsThe time run SGPT, youll need permission run SGPT Encoder shortcut, connect Open AI serversonce youve time, shouldnt again. As shortcuts, interact SGPT Siri voice, link home screen.AdvertisementThere creative ways use SGPT shortcut, youll head MacStories: You build Apple Music playlists based criteria example, process text thats currently iOS clipboard. More functionality planned future updates SGPT shortcut well.
| 2,023 |
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] | 1 | 196,947 |
https://guitar.com/news/music-news/krist-novoselic-ai-rework-nirvana-songs/
| 2023-09-22T00:00:00 |
en
|
“Kurt’s not here in the present, so everything has got to be done right”: Krist Novoselic on using AI to “complete” Nirvana songs
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“Kurt’s not here in the present, so everything has got to be done right”: Krist Novoselic on using AI to “complete” Nirvana songsNewsFeaturesReviewsGuidesIndustryDealsRelated ArtistsKrist NovoselicNirvanaRelated Tags#Artist#GrungeNews“Kurt’s not here in the present, so everything has got to be done right”: Krist Novoselic on using AI to “complete” Nirvana songsThe bassist says he’s open to using AI to finish unreleased Nirvana tracks, but with caution.
Image: Jeff Kravitz / Getty Images
By Crystal Koe By Crystal Koe Want more Guitar.com breaking news as it happens? Follow us on Telegram.Using AI to complete old Nirvana material is a “good idea”, though everything has to be “done right” , says bassist Krist Novoselic.READ MORE: “I’m not doing it anymore”: Ozzy Osbourne undergoes “final” neck surgeryThe grunge icons recently announced a deluxe 30th anniversary reissue of their final album In Utero. Set to arrive next month, it will feature a total of 72 tracks, with 53 unreleased live recordings from some of Nirvana’s final shows in their hometown.Speaking to NME about the upcoming collection as well as the band ’s legacy, Novoselic says: “This one’s got a lot of cool things like backstage passes and little things you can hold, like The Who’s Live At Leeds record.”“I’m excited about the live shows on there, because they used AI. We took the digital audio tapes from the soundboard in Rome, Seattle and Los Angeles, then the AI can separate all the instruments and we got a really good mix out of it.”Asked if the band is open to using AI for unreleased material – much like The Beatles are doing for their upcoming “final record”, Novoselic replies: “That’s a good idea! I’m glad I spoke with you today, because that’s interesting.”“I’m going to bring that up with Dave [Grohl] and Pat [Smear]! I can hardly wait to hear a new Beatles song. Come on, it’s The Beatles! I want to hear a new Beatles song! And if AI helps it, then absolutely – that’s the way it is today.”That said, the prospect of new AI-aided Nirvana music hinges on the existence of unfinished Nirvana tracks that could be worked on, something Novoselic admits he isn’t too sure about.“I don’t know,” the bassist says. “We’ve got to start talking about this. That’s a good idea. There could be. There’s a point where it’s like, ‘Is this Nirvana on AI?’ There’s a lot of that stuff already on YouTube, and that’s a debate that’s going to have to be settled when it comes to copyright and disinformation. It’s like 2001: A Space Odyssey – ‘Don’t do it!’ ”“Kurt’s not here in the present, so everything has got to be done right.”Related ArtistsKrist NovoselicNirvanaRelated Tags#Artist#GrungeTrending Now1A Brief History of Epiphone Guitars2Five essential Blondie tracks that guitar players need to hear3Walrus Audio Slöer review – the Infinity War of multi-textural reverbs4The Big Review: Fender Shields Blender – it’s My Bloody Valentine in a box! Or is it?Guitar.com OriginalsGuitar.com OriginalsMy Guitars & MeWe chat with artists globally about their favorite guitars and the stories they hold.Latest: S1 E01 Miles KaneWatch NowAll EpisodesGuitar ShoppingWe take the world's most exciting guitarists to our favourite guitar stores for a bit of retail therapy…Latest: S1 E01 Bartees StrangeWatch NowAll Episodes60 SecondsAll you need to know about essential guitar gear in 60s - no filler, just the important stuff.Latest: Fender Tone Master Princeton ReverbWatch NowAll EpisodesStay Tuned...More Guitar.com Originals coming soon - subscribe to always be in the know!SubscribeJoin Our Mailing List & Get Exclusive DealsSign Up NowThe destination for all things guitar.Privacy PolicyCookie NoticeTerms of useAdvertiseContact© 2023 Guitar.com is part of NME Networks.
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“Kurt’s not here in the present, so everything has got to be done right”: Krist Novoselic on using AI to “complete” Nirvana songs
|
Kurts present, got right: Krist Novoselic AI complete Nirvana songsNewsFeaturesReviewsGuidesIndustryDealsRelated ArtistsKrist NovoselicNirvanaRelated TagsArtistGrungeNewsKurts present, got right: Krist Novoselic AI complete Nirvana songsThe bassist says hes open AI finish unreleased Nirvana tracks, caution. Image: Jeff Kravitz Getty Images By Crystal KoeBy Crystal KoeWant breaking news happens? Follow Telegram.Using AI complete old Nirvana material good idea, right , says bassist Krist Novoselic.READ MORE:Im anymore: Ozzy Osbourne undergoes final neck surgeryThe grunge icons recently announced deluxe 30th anniversary reissue final album In Utero. Set arrive month, feature total 72 tracks, 53 unreleased live recordings Nirvanas final shows hometown.Speaking NME upcoming collection band legacy, Novoselic says: This ones got lot cool things like backstage passes little things hold, like The Whos Live At Leeds record.Im excited live shows there, AI. We took digital audio tapes soundboard Rome, Seattle Los Angeles, AI separate instruments got good mix it.Asked band open AI unreleased material like The Beatles upcoming final record, Novoselic replies: Thats good idea Im glad I spoke today, thats interesting.Im going bring Dave [Grohl] Pat [Smear] I hardly wait hear new Beatles song. Come on, The Beatles I want hear new Beatles song And AI helps it, absolutely thats way today.That said, prospect new AIaided Nirvana music hinges existence unfinished Nirvana tracks worked on, Novoselic admits isnt sure about.I dont know, bassist says. Weve got start talking this. Thats good idea. There be. Theres point like, Is Nirvana AI? Theres lot stuff YouTube, thats debate thats going settled comes copyright disinformation. Its like 2001: A Space Odyssey Dont Kurts present, got right.Related ArtistsKrist NovoselicNirvanaRelated TagsArtistGrungeTrending Now1A Brief History Epiphone Guitars2Five essential Blondie tracks guitar players need hear3Walrus Audio Sler review Infinity War multitextural reverbs4The Big Review: Fender Shields Blender My Bloody Valentine box Or it? OriginalsMy Guitars MeWe chat artists globally favorite guitars stories hold.Latest: S1 E01 Miles KaneWatch NowAll EpisodesGuitar ShoppingWe worlds exciting guitarists favourite guitar stores bit retail therapyLatest: S1 E01 Bartees StrangeWatch NowAll Episodes60 SecondsAll need know essential guitar gear 60s filler, important stuff.Latest: Fender Tone Master Princeton ReverbWatch NowAll EpisodesStay Tuned...More Originals coming soon subscribe knowJoin Our Mailing List Get Exclusive DealsSign Up NowThe destination things guitar. NoticeTerms useAdvertise 2023 NME Networks.
| 2,023 |
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https://hackernoon.com/adversarial-machine-learning-a-beginners-guide-to-adversarial-attacks-and-defenses
| 2022-08-15T00:00:00 |
en
|
Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses | HackerNoon
|
Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses | HackerNoonStart WritingNotificationssee moreStart WritingReadDiscover (Sort By)All TopicsTop StoriesTechBriefLive ReactionsNoonificationSuperTagBooksSloggingAll NewslettersRandom StoryDaily ArchiveTechAll Topics (Click Here)AIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestThe Idea of a University Defined and Illustrated: Discourse III -Bearing Of Theology On Other BranchDavid Copperfield: Chapter 51 - The Beginning Of A Longer JourneyThe Essays of Adam Smith: ADAM SMITH ON THE EXTERNAL SENSES - Of the Sense of TOUCHINGThe Evolution of Modern Medicine: Chapter III - MEDIAEVAL MEDICAL STUDIES"Together We Can Do So Much": A Beginner's Tribute to Linux CommunityThe #Web3 Writing Contest 2022: Round 5 Results Announced!Food and Flavor: A Gastronomic Guide to Health and Good Living: Chapter VIII - EPICUREAN ITALY1811 Dictionary in the Vulgar Tongue: Section J1811 Dictionary in the Vulgar Tongue: Section IStories for Telling: The Great Stone FaceTips to Make Your CTA Button Work 10X HarderReal Estate in the Metaverse is Booming: is it Really Such a Crazy Idea?Trending#1- What Is Stabila Coin and How Does Stabila Work?#2- How to Hack Instagram: 5 Common Vulnerabilities#3- What Does 50% Electric Cars Mean To The Grid?#4- Linux Explained on 5 Levels of Difficulty#5- 5 Best Pokémon GO Hacks and How to Get Them#6- The Ace Attorney Timeline: All Phoenix Wright Games in Chronological Order#7- Hellfred or: How I Learned To Automate macOS and Become Hellishly Productive#8- The Metro Games in Chronological Order: A Postapocalyptic Masterpiece#9- 9 Best Body Mods for Skyrim#10- 21 Best Developer Portfolio Examples#11- How to Hack TikTok Accounts : 5 Common Vulnerabilities#12- 3 Best Kotor Builds Even Vader Would Approve of#13- Spray, Pray, and Go Away: Investing is an Art#14- How to Hack Bluetooth Devices: 5 Common Vulnerabilities#15- Every Resident Evil Game in Chronological Order: A Complete Timeline#16- 5 Exchanges Where You Can Trade Crypto Options#17- The Future of Web 3 Gaming with Oren Langberg#18- Biggest Cryptocurrency Scams: What's The Damage?#19- How I Developed the Classic Pong Game on an Arduino Board#20- #MAXBIDDINGWriteWriterBefore Clicking SubmitSubmit a DraftSubmit a Draft as a BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayNooniesWriting PromptsFind New Writing Prompts HereFull List of Prompts/ InterviewsNoonie and Startups Winners or Runners-UpInterview for Your Opinion on AnythingInterview for Startups NomineesInterview for Noonies NomineesWhat is the Metaverse? InterviewDecentralized InterviewLearnSelf-Paced CoursesStanford Blockchain Course | Starts Aug 29 🔗Angular Masterclass 🔗Cybersecurity 🔗Data Science Bootcamp 🔗Java Masterclass 🔗JavaScript: Advanced 🔗Machine Learning A-Z 🔗Python: Zero to Hero 🔗Web Development Bootcamp 🔗Web Development Mastery 🔗Tech Deep DivesAgileArtificial IntelligenceCloud ComputingDeFiDevOpsEntrepreneurshipEthereumMarketingNFTsNodeJSOpen SourceReactSoftware DevelopmentWeb DevelopmentBuild SkillzzApply Psychology of ColorsAuto-Generate GraphicsBuild Frontend for Ethereum dAppsBuild a Private BlockchainCreate Generative Art with PythonChoose the Right Kubernetes ContainerGet Featured on Product Hunt without HunterGo Serverless with AWSHack Smart ContractsHost Your Git Server on Raspberry PiImplement QA ProperlyInsert Binary Tree in RustLearn AnythingMeasure Technical DebtProtect Your Code with GulpWrite NFT Smart ContractsAboutCompanyContact UsAbout UsCareersPodcastJoin Community (and Comment)Full List of Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet the TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware by HackerNoonProduct UpdatesSloggingAnnual Startup AwardsRemove Paywalled Stories from Google SearchHacker Noon is a GIFMobile Application Coming SoonHelpWritersWe Give all the FAQsStory Rejected?Account SettingsHow to use our EditorContactVisitorsWhat the FAQ?Sign UpGetting StartedHow to Navigate our SiteContactPartnerPartnershipsCreate a Writing ContestBrand Publishing ProgramRepublish Tech BlogsMedia KitSitewide Yellow BillboardNewsletter AdsNiche MarketingBlog for the Corporate SoulThousands of CustomersShopHackerNoon Merchthe shirtthe beaniethe joggersthe PBS style tote bagspiral notebookscolorful masksrainbow laptop sleevesand HN stickersTech Co DirectoryTop Tech Companies#1 InfoPrice#2 Apple#3 Zoetis#4 Filter Coffee#5 Adobe#6 Microsoft#7 Seekr#8 Amazon#9 Casino Alpha#10 CoinKeeper#11 LKQ#12 Tesla#13 Google#14 Yalimart#15 Coinbase#16 Matellio#17 INTL FCStone#18 3M#19 Biorem Inc.#20 3ilogicsTrending CompaniesZoetis(+3900%)Filter Coffee(+1700%)AIR(+1500%)Yalimart(+1500%)eBay(+1500%)3M(+1150%)INTL FCStone(+750%)CoinKeeper(+633.3%)MOTIF®(+600%)Hum Capital(+566.7%)3ilogics(+500%)Adobe(+380%)Edexy(+333.3%)Matellio(+320%)CamPay(+266.7%)Seekr(+260%)InfoPrice(+250%)Biorem Inc.(+200%)Botpress(+200%)Cerebral Therapeutics(+200%)Startups Worldwide#1 Copenhagen Denmark, Northern Europe#2 Krakow Poland, Eastern Europe#3 Cape Town South Africa, Africa#4 Johannesburg South Africa, Africa#5 Jaipur India, South Asia#6 Lagos Nigeria, Africa#7 Oakland United States, California#8 Wellington New Zealand, Oceania#9 Waterloo Canada, Canada And Central America#10 Beijing China, East Asia#11 Mesa, Us#12 Istanbul Turkey, Eastern Europe#13 Accra Ghana, Africa#14 Indianapolis, UsTech Company News PagesAboutBenefitsCommentaryDiscountsDiscoverGet ListedSubscribe ReadDiscover (Sort By)All TopicsTop StoriesTechBriefLive ReactionsNoonificationSuperTagBooksSloggingAll NewslettersRandom StoryDaily ArchiveTechAll Topics (Click Here)AIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestThe Idea of a University Defined and Illustrated: Discourse III -Bearing Of Theology On Other BranchDavid Copperfield: Chapter 51 - The Beginning Of A Longer JourneyThe Essays of Adam Smith: ADAM SMITH ON THE EXTERNAL SENSES - Of the Sense of TOUCHINGThe Evolution of Modern Medicine: Chapter III - MEDIAEVAL MEDICAL STUDIES"Together We Can Do So Much": A Beginner's Tribute to Linux CommunityThe #Web3 Writing Contest 2022: Round 5 Results Announced!Food and Flavor: A Gastronomic Guide to Health and Good Living: Chapter VIII - EPICUREAN ITALY1811 Dictionary in the Vulgar Tongue: Section J1811 Dictionary in the Vulgar Tongue: Section IStories for Telling: The Great Stone FaceTips to Make Your CTA Button Work 10X HarderReal Estate in the Metaverse is Booming: is it Really Such a Crazy Idea?Trending#1- What Is Stabila Coin and How Does Stabila Work?#2- How to Hack Instagram: 5 Common Vulnerabilities#3- What Does 50% Electric Cars Mean To The Grid?#4- Linux Explained on 5 Levels of Difficulty#5- 5 Best Pokémon GO Hacks and How to Get Them#6- The Ace Attorney Timeline: All Phoenix Wright Games in Chronological Order#7- Hellfred or: How I Learned To Automate macOS and Become Hellishly Productive#8- The Metro Games in Chronological Order: A Postapocalyptic Masterpiece#9- 9 Best Body Mods for Skyrim#10- 21 Best Developer Portfolio Examples#11- How to Hack TikTok Accounts : 5 Common Vulnerabilities#12- 3 Best Kotor Builds Even Vader Would Approve of#13- Spray, Pray, and Go Away: Investing is an Art#14- How to Hack Bluetooth Devices: 5 Common Vulnerabilities#15- Every Resident Evil Game in Chronological Order: A Complete Timeline#16- 5 Exchanges Where You Can Trade Crypto Options#17- The Future of Web 3 Gaming with Oren Langberg#18- Biggest Cryptocurrency Scams: What's The Damage?#19- How I Developed the Classic Pong Game on an Arduino Board#20- #MAXBIDDINGWriteWriterBefore Clicking SubmitSubmit a DraftSubmit a Draft as a BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayNooniesWriting PromptsFind New Writing Prompts HereFull List of Prompts/ InterviewsNoonie and Startups Winners or Runners-UpInterview for Your Opinion on AnythingInterview for Startups NomineesInterview for Noonies NomineesWhat is the Metaverse? InterviewDecentralized InterviewLearnSelf-Paced CoursesStanford Blockchain Course | Starts Aug 29 🔗Angular Masterclass 🔗Cybersecurity 🔗Data Science Bootcamp 🔗Java Masterclass 🔗JavaScript: Advanced 🔗Machine Learning A-Z 🔗Python: Zero to Hero 🔗Web Development Bootcamp 🔗Web Development Mastery 🔗Tech Deep DivesAgileArtificial IntelligenceCloud ComputingDeFiDevOpsEntrepreneurshipEthereumMarketingNFTsNodeJSOpen SourceReactSoftware DevelopmentWeb DevelopmentBuild SkillzzApply Psychology of ColorsAuto-Generate GraphicsBuild Frontend for Ethereum dAppsBuild a Private BlockchainCreate Generative Art with PythonChoose the Right Kubernetes ContainerGet Featured on Product Hunt without HunterGo Serverless with AWSHack Smart ContractsHost Your Git Server on Raspberry PiImplement QA ProperlyInsert Binary Tree in RustLearn AnythingMeasure Technical DebtProtect Your Code with GulpWrite NFT Smart ContractsAboutCompanyContact UsAbout UsCareersPodcastJoin Community (and Comment)Full List of Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet the TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware by HackerNoonProduct UpdatesSloggingAnnual Startup AwardsRemove Paywalled Stories from Google SearchHacker Noon is a GIFMobile Application Coming SoonHelpWritersWe Give all the FAQsStory Rejected?Account SettingsHow to use our EditorContactVisitorsWhat the FAQ?Sign UpGetting StartedHow to Navigate our SiteContactPartnerPartnershipsCreate a Writing ContestBrand Publishing ProgramRepublish Tech BlogsMedia KitSitewide Yellow BillboardNewsletter AdsNiche MarketingBlog for the Corporate SoulThousands of CustomersShopHackerNoon Merchthe shirtthe beaniethe joggersthe PBS style tote bagspiral notebookscolorful masksrainbow laptop sleevesand HN stickersTech Co DirectoryTop Tech Companies#1 InfoPrice#2 Apple#3 Zoetis#4 Filter Coffee#5 Adobe#6 Microsoft#7 Seekr#8 Amazon#9 Casino Alpha#10 CoinKeeper#11 LKQ#12 Tesla#13 Google#14 Yalimart#15 Coinbase#16 Matellio#17 INTL FCStone#18 3M#19 Biorem Inc.#20 3ilogicsTrending CompaniesZoetis(+3900%)Filter Coffee(+1700%)AIR(+1500%)Yalimart(+1500%)eBay(+1500%)3M(+1150%)INTL FCStone(+750%)CoinKeeper(+633.3%)MOTIF®(+600%)Hum Capital(+566.7%)3ilogics(+500%)Adobe(+380%)Edexy(+333.3%)Matellio(+320%)CamPay(+266.7%)Seekr(+260%)InfoPrice(+250%)Biorem Inc.(+200%)Botpress(+200%)Cerebral Therapeutics(+200%)Startups Worldwide#1 Copenhagen Denmark, Northern Europe#2 Krakow Poland, Eastern Europe#3 Cape Town South Africa, Africa#4 Johannesburg South Africa, Africa#5 Jaipur India, South Asia#6 Lagos Nigeria, Africa#7 Oakland United States, California#8 Wellington New Zealand, Oceania#9 Waterloo Canada, Canada And Central America#10 Beijing China, East Asia#11 Mesa, Us#12 Istanbul Turkey, Eastern Europe#13 Accra Ghana, Africa#14 Indianapolis, UsTech Company News PagesAboutBenefitsCommentaryDiscountsDiscoverGet ListedSubscribe Vetter Skylabs Pre-sale Starts 21 Aug!Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses by@miguelhzbzAdversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and DefensesJanuary 9th 2022 1,369 reads0There are [four types of attacks] that ML models can suffer. An adversary steals a copy of a remotely deployed machine learning model, given oracle prediction access. Extraction attacks aim to extract as much information as possible and with the set of inputs and outputs train a model called substitute model. Extract model is hard**, the attacker needs a huge compute capacity to re-training the new model with accuracy and fidelity, and substitute model is equivalen to training a model from the ground up.@miguelhzbzMiguel HernándezSecurity researcher that learns and manifests new concepts and skills continuously. Speaker at several sec conferences.About @miguelhzbzAdversarial machine learning is concerned with the design of ML algorithms that can resist security challenges.
Adversarial Machine Learning states that there are four types of attacks that ML models can suffer.Taxonomy
Extraction attacks
Extraction attacks
In a model extraction attack, an adversary steals a copy of a remotely deployed machine learning model, given oracle prediction access.
It is produced by making requests to the target model with inputs to extract as much information as possible and with the set of inputs and outputs train a model called substitute model.Extract model is hard, the attacker needs a huge compute capacity to re-training the new model with accuracy and fidelity, and substitute model is equivalent to training a model from the ground up.Defenses
Limit the output information when the model classifies a given input.
Differential Privacy.
Use ensembles.
Proxy between end-user and model like PRADA.
Limit the number of requests.
Inference attacks
Inference attack
Inference attacks aim to reverse the information flow of a machine learning model. They allow an adversary to have knowledge of the model that was not explicitly intended to be shared.
Inference attacks pose severe privacy and security threats to individuals and systems. They are successful because private data are statistically correlated with public data, and ML classifiers can capture such statistical correlations.
Includes three types of attacks:
Membership Inference Attack (MIA).
Property Inference Attack (PIA).
Recovery training data.
Defenses
Use advanced cryptography.
Differential cryptography.
Homomorphic cryptography.
Secure Multi-party Computation.
Techniques such as Dropout.
Model compression.
Poisoning attacks
Poisoning attacksThis technique involves an attacker inserting corrupt data in the training dataset to compromise a target machine learning model during training.
Some data poisoning techniques aim to trigger a specific behavior in a computer vision system when it faces a specific pattern of pixels at inference time. Other data poisoning techniques aim to reduce the accuracy of a machine learning model on one or more output classes.This attack is difficult to detect when performed on training data since the attack can propagate between different models using the same data.The adversary seeks to destroy the availability of the model by modifying the decision boundary and, as a result, producing incorrect predictions.Finally, the attacker could create a backdoor in a model. The model behaves correctly (returning the desired predictions) in most cases, except for certain inputs specially created by the adversary that produce undesired results. The adversary can manipulate the results of the predictions and launch future attacks.Defenses
Protect the integrity of training data.
Protect the algorithms, use robust methods to train models.
Evasion attacks
Evasion attacksAn adversary inserts a small perturbation (in the form of noise) into the input of a machine learning model to make it classify incorrectly (example adversary).
They are similar to poisoning attacks, but their main difference is that evasion attacks try to exploit weaknesses of the model in the inference phase, not in the training.The attacker’s knowledge of the target system is important. The more they know about your model and how it’s built — the easier it is for them to mount an attack on it.An evasion attack happens when the network is fed an “adversarial example” — a carefully perturbed input that looks and feels exactly the same as its untampered copy to a human — but that completely throws off the classifier.Defenses
Training with adversarial examples which robust the model.
Transform the input to the model (Input sanitization).
Gradient regularization.
Tools
Adversarial Robustness Toolbox (ART)
Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference.
ART
ART supports all popular machine learning frameworks:
TensorFlow
Keras
PyTorch
scikit-learn
All data types:
Images
Tables
Audio
Video
And machine learning tasks:
Classification
Object detection
Speech recognition
pip installationpip install adversarial-robustness-toolboxAttack examplefrom art.attacks.evasion import FastGradientMethod
attack_fgm = FastGradientMethod(estimator = classifier, eps = 0.2)
x_test_fgm = attack_fgm.generate(x=x_test)
predictions_test = classifier.predict(x_test_fgm)
Defense examplefrom art.defences.trainer import AdversarialTrainer
model.compile(loss=keras.losses.categorical_crossentropy, optimizer=tf.keras.optimizers.Adam(lr=0.01), metrics=["accuracy"])
defence = AdversarialTrainer(classifier=classifier, attacks=attack_fgm, ratio=0.6)
(x_train, y_train), (x_test, y_test), min_pixel_value, max_pixel_value = load_mnist()
defence.fit(x=x_train, y=y_train, nb_epochs=3)
Counterfit
Counterfit is a command-line tool and generic automation layer for assessing the security of machine learning systems.Developed for security audits on ML models. Implements black box evasion algorithms and based on ART and TextAttack.Command list---------------------------------------------------
Microsoft
__ _____ __
_________ __ ______ / /____ _____/ __(_) /_
/ ___/ __ \/ / / / __ \/ __/ _ \/ ___/ /_/ / __/
/ /__/ /_/ / /_/ / / / / /_/ __/ / / __/ / /
\___/\____/\__,_/_/ /_/\__/\___/_/ /_/ /_/\__/
#ATML
---------------------------------------------------
list targets
list frameworks
load <framework>
list attacks
interact <target>
predict -i <ind>
use <attack>
run
scan
Final words
"If you use machine learning, there is the risk for exposure, even though the threat does not currently exist in your space." and "The gap between machine learning and security is definitely there." by Hyrum Anderson, Microsoft
## References
Towards Security Threats of DL Systems
Adversarial Matrix Mitre
Poisoning attacks
Evasion attacks
Thanks
Special thanks to @jiep, co-writer of this article.
This article was first published here.
0by Miguel Hernández @miguelhzbz.Security researcher that learns and manifests new concepts and skills continuously. Speaker at several sec conferences.Read my storiesEncode, Stream, and Manage Videos With One Simple PlatformL O A D I N G. . . comments & more!ABOUTCareersContactCookiesEmailsHelpPrivacyTermsREADArchiveLeaderboardNoonificationSignupTech BriefTech TagsTop StoriesWRITEDistributionEditor TipsGuidelinesNew StoryPerksPromptsWhy WritePARTNERBillboardBrand PublishingCase StudiesContestsNiche MarketingNewsletterWriting ContestsThe HackerNoon NewsletterQuality Weekly Reads About Technology Infiltrating EverythingSubscribefree Yes, I agree to receive emails about tech eating the world.
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Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses
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Adversarial Machine Learning: A Beginners Guide Adversarial Attacks Defenses HackerNoonStart WritingNotificationssee moreStart WritingReadDiscover Sort ByAll TopicsTop StoriesTechBriefLive ReactionsNoonificationSuperTagBooksSloggingAll NewslettersRandom StoryDaily ArchiveTechAll Topics Click HereAIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestThe Idea University Defined Illustrated: Discourse III Bearing Of Theology On Other BranchDavid Copperfield: Chapter 51 The Beginning Of A Longer JourneyThe Essays Adam Smith: ADAM SMITH ON THE EXTERNAL SENSES Of Sense TOUCHINGThe Evolution Modern Medicine: Chapter III MEDIAEVAL MEDICAL STUDIESTogether We Can Do So Much: A Beginners Tribute Linux CommunityThe Web3 Writing Contest 2022: Round 5 Results AnnouncedFood Flavor: A Gastronomic Guide Health Good Living: Chapter VIII EPICUREAN ITALY1811 Dictionary Vulgar Tongue: Section J1811 Dictionary Vulgar Tongue: Section IStories Telling: The Great Stone FaceTips Make Your CTA Button Work 10X HarderReal Estate Metaverse Booming: Really Such Crazy Idea?Trending1 What Is Stabila Coin How Does Stabila Work?2 How Hack Instagram: 5 Common Vulnerabilities3 What Does 50 Electric Cars Mean To The Grid?4 Linux Explained 5 Levels Difficulty5 5 Best Pokmon GO Hacks How Get Them6 The Ace Attorney Timeline: All Phoenix Wright Games Chronological Order7 Hellfred or: How I Learned To Automate macOS Become Hellishly Productive8 The Metro Games Chronological Order: A Postapocalyptic Masterpiece9 9 Best Body Mods Skyrim10 21 Best Developer Portfolio Examples11 How Hack TikTok Accounts : 5 Common Vulnerabilities12 3 Best Kotor Builds Even Vader Would Approve of13 Spray, Pray, Go Away: Investing Art14 How Hack Bluetooth Devices: 5 Common Vulnerabilities15 Every Resident Evil Game Chronological Order: A Complete Timeline16 5 Exchanges Where You Can Trade Crypto Options17 The Future Web 3 Gaming Oren Langberg18 Biggest Cryptocurrency Scams: Whats The Damage?19 How I Developed Classic Pong Game Arduino Board20 MAXBIDDINGWriteWriterBefore Clicking SubmitSubmit DraftSubmit Draft BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayNooniesWriting PromptsFind New Writing Prompts HereFull List Prompts InterviewsNoonie Startups Winners RunnersUpInterview Your Opinion AnythingInterview Startups NomineesInterview Noonies NomineesWhat Metaverse? InterviewDecentralized InterviewLearnSelfPaced CoursesStanford Blockchain Course Starts Aug 29 Angular Masterclass Cybersecurity Data Science Bootcamp Java Masterclass JavaScript: Advanced Machine Learning AZ Python: Zero Hero Web Development Bootcamp Web Development Mastery Tech Deep DivesAgileArtificial IntelligenceCloud ComputingDeFiDevOpsEntrepreneurshipEthereumMarketingNFTsNodeJSOpen SourceReactSoftware DevelopmentWeb DevelopmentBuild SkillzzApply Psychology ColorsAutoGenerate GraphicsBuild Frontend Ethereum dAppsBuild Private BlockchainCreate Generative Art PythonChoose Right Kubernetes ContainerGet Featured Product Hunt HunterGo Serverless AWSHack Smart ContractsHost Your Git Server Raspberry PiImplement QA ProperlyInsert Binary Tree RustLearn AnythingMeasure Technical DebtProtect Your Code GulpWrite NFT Smart ContractsAboutCompany UsCareersPodcastJoin Community CommentFull List Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware HackerNoonProduct UpdatesSloggingAnnual Startup AwardsRemove Paywalled Stories Google Hacker Noon GIFMobile Application Coming SoonHelpWritersWe Give FAQsStory Rejected?Account SettingsHow use EditorVisitorsWhat FAQ?Sign UpGetting StartedHow Navigate SitePartnerPartnershipsCreate Writing ContestBrand Publishing ProgramRepublish Tech BlogsMedia KitSitewide Yellow BillboardNewsletter AdsNiche MarketingBlog Corporate SoulThousands CustomersShopHackerNoon Merchthe shirtthe beaniethe joggersthe PBS style tote bagspiral notebookscolorful masksrainbow laptop sleevesand HN stickersTech Co DirectoryTop Tech Companies1 InfoPrice2 Apple3 Zoetis4 Filter Coffee5 Adobe6 Microsoft7 Seekr8 Amazon9 Casino Alpha10 CoinKeeper11 LKQ12 Tesla13 Google14 Yalimart15 Coinbase16 Matellio17 INTL FCStone18 3M19 Biorem .20 3ilogicsTrending CompaniesZoetis3900Filter Coffee1700AIR1500Yalimart1500eBay15003M1150INTL FCStone750CoinKeeper633.3MOTIF600Hum Capital566.73ilogics500Adobe380Edexy333.3Matellio320CamPay266.7Seekr260InfoPrice250Biorem .200Botpress200Cerebral Therapeutics200Startups Worldwide1 Copenhagen Denmark, Northern Europe2 Krakow Poland, Eastern Europe3 Cape Town South Africa, Africa4 Johannesburg South Africa, Africa5 Jaipur India, South Asia6 Lagos Nigeria, Africa7 Oakland United States, California8 Wellington New Zealand, Oceania9 Waterloo Canada, Canada And Central America10 Beijing China, East Asia11 Mesa, Us12 Istanbul Turkey, Eastern Europe13 Accra Ghana, Africa14 Indianapolis, UsTech Company News PagesAboutBenefitsCommentaryDiscountsDiscoverGet Listed ReadDiscover Sort ByAll TopicsTop StoriesTechBriefLive ReactionsNoonificationSuperTagBooksSloggingAll NewslettersRandom StoryDaily ArchiveTechAll Topics Click HereAIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestThe Idea University Defined Illustrated: Discourse III Bearing Of Theology On Other BranchDavid Copperfield: Chapter 51 The Beginning Of A Longer JourneyThe Essays Adam Smith: ADAM SMITH ON THE EXTERNAL SENSES Of Sense TOUCHINGThe Evolution Modern Medicine: Chapter III MEDIAEVAL MEDICAL STUDIESTogether We Can Do So Much: A Beginners Tribute Linux CommunityThe Web3 Writing Contest 2022: Round 5 Results AnnouncedFood Flavor: A Gastronomic Guide Health Good Living: Chapter VIII EPICUREAN ITALY1811 Dictionary Vulgar Tongue: Section J1811 Dictionary Vulgar Tongue: Section IStories Telling: The Great Stone FaceTips Make Your CTA Button Work 10X HarderReal Estate Metaverse Booming: Really Such Crazy Idea?Trending1 What Is Stabila Coin How Does Stabila Work?2 How Hack Instagram: 5 Common Vulnerabilities3 What Does 50 Electric Cars Mean To The Grid?4 Linux Explained 5 Levels Difficulty5 5 Best Pokmon GO Hacks How Get Them6 The Ace Attorney Timeline: All Phoenix Wright Games Chronological Order7 Hellfred or: How I Learned To Automate macOS Become Hellishly Productive8 The Metro Games Chronological Order: A Postapocalyptic Masterpiece9 9 Best Body Mods Skyrim10 21 Best Developer Portfolio Examples11 How Hack TikTok Accounts : 5 Common Vulnerabilities12 3 Best Kotor Builds Even Vader Would Approve of13 Spray, Pray, Go Away: Investing Art14 How Hack Bluetooth Devices: 5 Common Vulnerabilities15 Every Resident Evil Game Chronological Order: A Complete Timeline16 5 Exchanges Where You Can Trade Crypto Options17 The Future Web 3 Gaming Oren Langberg18 Biggest Cryptocurrency Scams: Whats The Damage?19 How I Developed Classic Pong Game Arduino Board20 MAXBIDDINGWriteWriterBefore Clicking SubmitSubmit DraftSubmit Draft BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayNooniesWriting PromptsFind New Writing Prompts HereFull List Prompts InterviewsNoonie Startups Winners RunnersUpInterview Your Opinion AnythingInterview Startups NomineesInterview Noonies NomineesWhat Metaverse? InterviewDecentralized InterviewLearnSelfPaced CoursesStanford Blockchain Course Starts Aug 29 Angular Masterclass Cybersecurity Data Science Bootcamp Java Masterclass JavaScript: Advanced Machine Learning AZ Python: Zero Hero Web Development Bootcamp Web Development Mastery Tech Deep DivesAgileArtificial IntelligenceCloud ComputingDeFiDevOpsEntrepreneurshipEthereumMarketingNFTsNodeJSOpen SourceReactSoftware DevelopmentWeb DevelopmentBuild SkillzzApply Psychology ColorsAutoGenerate GraphicsBuild Frontend Ethereum dAppsBuild Private BlockchainCreate Generative Art PythonChoose Right Kubernetes ContainerGet Featured Product Hunt HunterGo Serverless AWSHack Smart ContractsHost Your Git Server Raspberry PiImplement QA ProperlyInsert Binary Tree RustLearn AnythingMeasure Technical DebtProtect Your Code GulpWrite NFT Smart ContractsAboutCompany UsCareersPodcastJoin Community CommentFull List Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware HackerNoonProduct UpdatesSloggingAnnual Startup AwardsRemove Paywalled Stories Google Hacker Noon GIFMobile Application Coming SoonHelpWritersWe Give FAQsStory Rejected?Account SettingsHow use EditorVisitorsWhat FAQ?Sign UpGetting StartedHow Navigate SitePartnerPartnershipsCreate Writing ContestBrand Publishing ProgramRepublish Tech BlogsMedia KitSitewide Yellow BillboardNewsletter AdsNiche MarketingBlog Corporate SoulThousands CustomersShopHackerNoon Merchthe shirtthe beaniethe joggersthe PBS style tote bagspiral notebookscolorful masksrainbow laptop sleevesand HN stickersTech Co DirectoryTop Tech Companies1 InfoPrice2 Apple3 Zoetis4 Filter Coffee5 Adobe6 Microsoft7 Seekr8 Amazon9 Casino Alpha10 CoinKeeper11 LKQ12 Tesla13 Google14 Yalimart15 Coinbase16 Matellio17 INTL FCStone18 3M19 Biorem .20 3ilogicsTrending CompaniesZoetis3900Filter Coffee1700AIR1500Yalimart1500eBay15003M1150INTL FCStone750CoinKeeper633.3MOTIF600Hum Capital566.73ilogics500Adobe380Edexy333.3Matellio320CamPay266.7Seekr260InfoPrice250Biorem .200Botpress200Cerebral Therapeutics200Startups Worldwide1 Copenhagen Denmark, Northern Europe2 Krakow Poland, Eastern Europe3 Cape Town South Africa, Africa4 Johannesburg South Africa, Africa5 Jaipur India, South Asia6 Lagos Nigeria, Africa7 Oakland United States, California8 Wellington New Zealand, Oceania9 Waterloo Canada, Canada And Central America10 Beijing China, East Asia11 Mesa, Us12 Istanbul Turkey, Eastern Europe13 Accra Ghana, Africa14 Indianapolis, UsTech Company News PagesAboutBenefitsCommentaryDiscountsDiscoverGet Listed Vetter Skylabs Presale Starts 21 AugAdversarial Machine Learning: A Beginners Guide Adversarial Attacks Defensesby Machine Learning: A Beginners Guide Adversarial Attacks DefensesJanuary 9th 2022 1,369 reads0There [four types attacks] ML models suffer. An adversary steals copy remotely deployed machine learning model, given oracle prediction access. Extraction attacks aim extract information possible set inputs outputs train model called substitute model. Extract model hard, attacker needs huge compute capacity retraining new model accuracy fidelity, substitute model equivalen training model ground up. HernndezSecurity researcher learns manifests new concepts skills continuously. Speaker sec conferences.About machine learning concerned design ML algorithms resist security challenges. Adversarial Machine Learning states types attacks ML models suffer.Taxonomy Extraction attacks Extraction attacks In model extraction attack, adversary steals copy remotely deployed machine learning model, given oracle prediction access. It produced making requests target model inputs extract information possible set inputs outputs train model called substitute model.Extract model hard, attacker needs huge compute capacity retraining new model accuracy fidelity, substitute model equivalent training model ground up.Defenses Limit output information model classifies given input. Differential Privacy. Use ensembles. Proxy enduser model like PRADA. Limit number requests. Inference attacks Inference attack Inference attacks aim reverse information flow machine learning model. They allow adversary knowledge model explicitly intended shared. Inference attacks pose severe privacy security threats individuals systems. They successful private data statistically correlated public data, ML classifiers capture statistical correlations. ludes types attacks: Membership Inference Attack MIA. Property Inference Attack PIA. Recovery training data. Defenses Use advanced cryptography. Differential cryptography. Homomorphic cryptography. Secure Multiparty Computation. Techniques Dropout. Model compression. Poisoning attacks Poisoning attacksThis technique involves attacker inserting corrupt data training dataset compromise target machine learning model training. Some data poisoning techniques aim trigger specific behavior vision faces specific pattern pixels inference time. Other data poisoning techniques aim reduce accuracy machine learning model output classes.This attack difficult detect performed training data attack propagate different models data.The adversary seeks destroy availability model modifying decision boundary and, result, producing incorrect predictions.Finally, attacker create backdoor model. The model behaves correctly returning desired predictions cases, certain inputs specially created adversary produce undesired results. The adversary manipulate results predictions launch future attacks.Defenses Protect integrity training data. Protect algorithms, use robust methods train models. Evasion attacks Evasion attacksAn adversary inserts small perturbation form noise input machine learning model classify incorrectly example adversary. They similar poisoning attacks, main difference evasion attacks try exploit weaknesses model inference phase, training.The attackers knowledge target important. The know model built easier mount attack it.An evasion attack happens network fed adversarial example carefully perturbed input looks feels exactly untampered copy human completely throws classifier.Defenses Training adversarial examples robust model. Transform input model Input sanitization. Gradient regularization. Tools Adversarial Robustness Toolbox ART Adversarial Robustness Toolbox ART Python library Machine Learning Security. ART provides tools enable developers researchers defend evaluate Machine Learning models applications adversarial threats Evasion, Poisoning, Extraction, Inference. ART ART supports popular machine learning frameworks: TensorFlow Keras PyTorch scikitlearn All data types: Images Tables Audio Video And machine learning tasks: Classification Object detection Speech recognition pip installationpip install adversarialrobustnesstoolboxAttack examplefrom art.attacks.evasion import FastGradientMethod attack_fgm = FastGradientMethodestimator = classifier, eps = 0.2 x_test_fgm = attack_fgm.generatex=x_test predictions_test = classifier.predictx_test_fgm Defense examplefrom art.defences.trainer import AdversarialTrainer model.compileloss=keras.losses.categorical_crossentropy, optimizer=tf.keras.optimizers.Adamlr=0.01, metrics=[accuracy] defence = AdversarialTrainerclassifier=classifier, attacks=attack_fgm, ratio=0.6 x_train, y_train, x_test, y_test, min_pixel_value, max_pixel_value = load_mnist defence.fitx=x_train, y=y_train, nb_epochs=3 Counterfit Counterfit commandline tool generic automation layer assessing security machine learning systems.Developed security audits ML models. Implements black box evasion algorithms based ART TextAttack.Command list Microsoft __ _____ __ _________ __ ______ ____ _____ ___ _ ___ __ \ __ \ __ _ \ ___ _ __ __ _ _ _ __ __ \___\____\__,__ _\__\____ _ _\__ ATML list targets list frameworks load <framework> list attacks interact <target> predict <ind> use <attack> run scan Final words If use machine learning, risk exposure, threat currently exist space. The gap machine learning security definitely there. Hyrum Anderson, Microsoft References Towards Security Threats DL Systems Adversarial Matrix Mitre Poisoning attacks Evasion attacks Thanks Special thanks cowriter article. This article published here. 0by Miguel Hernndez researcher learns manifests new concepts skills continuously. Speaker sec conferences.Read storiesEncode, Stream, Manage Videos With One Simple PlatformL O A D I N G. . . comments moreABOUTCareerssEmailsHelpPrivacyTermsREADArchiveLeaderboardNoonificationSignupTech BriefTech TagsTop StoriesWRITEDistributionEditor TipsGuidelinesNew StoryPerksPromptsWhy WritePARTNERBillboardBrand PublishingCase StudiesContestsNiche MarketingNewsletterWriting ContestsThe HackerNoon NewsletterQuality Weekly Reads About Technology Infiltrating Everythingfree Yes, I agree receive emails tech eating world.
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] | 1 | 196,949 |
https://hackernoon.com/business-ai-trends-and-innovations-for-2022
| 2021-12-26T00:00:00 |
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Top 5 Business AI Innovations and Trends to Watch in 2022 | Hacker Noon
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Top 5 Business AI Innovations and Trends to Watch in 2022 | Hacker NoonStart WritingStart WritingReadDiscover (Sort By)Top StoriesTop WritersAll TopicsDaily ArchiveLive ReactionsSuperTagTechBriefNoonificationNewslettersRandom StoryTechAll Topics (Click Here)AIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestAll Top StoriesWhat Makes TikTok so Addictive?How Adult Content Creators are Shaping the Future of NFTs3 Best Metaverse Games to Follow in 2022Legal Wins for Remote Teams: Expectation Vs. ImplementationBlockchain and the Future of Medicine [Infographic]WriteWriterBefore Clicking SubmitSubmit a DraftSubmit a Draft as a BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayWriting PromptsFull List of PromptsYour Opinion, (on Anything)Startups InterviewAll about youDo you own a good company?Get feral when you answer to the greatest interview in historyShare your philosophyLearnWeb DevelopmentBecome a Cloud Developer 🔗300 Scholarships - School of Cloud Computing 🔗Become A Fullstack Developer 🔗Become Android Developer🔗Design PatternsFeynman TechniqueIn 30 DaysIn 6 MonthsLearning to CodeLearning to LearnLearning via GamesCybersecurity 🔗LanguagesBlockchainC C# C++GoHTML & CSS🔗Javascript🔗PHPPython 🔗Ruby on RailsSQL 🔗In Partnership With UdacitySTARTUPSWestern WorldCaliforniaCentral EuropeCentral AmericaEastern EuropeMiddle AmericaNorthern EuropeSouthern EuropeWestern EuropeEastern WorldAfricaEast AsiaMiddle EastOceaniaSouth AsiaSoutheast AsiaTrending CitiesLagosLondonLos AngelesMexico CityNew York CityPuneSan FranciscoRed Wood CitySingaporeSydneyTel AvivZugNoonies 2021 AwardsImportant InfoNomination and Voting HereRead Nominee Interviews HereAll Noonies 2021 UpdatesWhat are the Noonies?Noonies Launch 2021Award CategoriesDecentralizationInternet HeroesGamingPlanet InternetSoftware DevelopmentTechnologyAward-Winning TitlesCheeky Genius of the YearCritical Thinker of the YearRemote Work Advocate We NeedRick Sanchez of the YearBest Gaming Discord CommunityTech GiantsA to FAdobeAlphabetAmazonApacheAppleATTBoACoinbaseComcastEbayFacebookFoxconnG to NGoogleHPHuaweiIBMIntelIntuitLenovoMcDonaldsMicrosoftNetAppNetflixNvidiaO to ZOraclePfizerSamsungSonyTeslaTexas InstrumentsTencent3mTwitterUberLearn MoreMore Tech CompaniesAboutCompanyContact UsAbout UsCareersPodcastJoin Community (and Comment)Full List of Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet the TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware by HackerNoonSloggingAnnual Startup AwardsRemove Paywalled Stories from Google SearchHacker Noon is a GIFMobile Application Coming SoonHelpWritersWe Give all the FAQsStory Rejected?Account SettingsHow to use our EditorContactVisitorsWhat the FAQ?Sign UpGetting StartedHow to Navigate our SiteContactSponsorPartnershipsMedia KitWrite as a Business or BrandSitewide Yellow BillboardNewsletterNiche MarketingBlog for the Corporate SoulShopReadDiscover (Sort By)Top StoriesTop WritersAll TopicsDaily ArchiveLive ReactionsSuperTagTechBriefNoonificationNewslettersRandom StoryTechAll Topics (Click Here)AIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestAll Top StoriesWhat Makes TikTok so Addictive?How Adult Content Creators are Shaping the Future of NFTs3 Best Metaverse Games to Follow in 2022Legal Wins for Remote Teams: Expectation Vs. ImplementationBlockchain and the Future of Medicine [Infographic]WriteWriterBefore Clicking SubmitSubmit a DraftSubmit a Draft as a BrandWriting GuidesReach More PeopleYour Message, Your AdRepublishing GuideBacklinks GuidesEarn CryptoContestsAll ContestsGaming Metaverse ContestDecentralized Internet ContestHoliday Gear GiveawayWriting PromptsFull List of PromptsYour Opinion, (on Anything)Startups InterviewAll about youDo you own a good company?Get feral when you answer to the greatest interview in historyShare your philosophyLearnWeb DevelopmentBecome a Cloud Developer 🔗300 Scholarships - School of Cloud Computing 🔗Become A Fullstack Developer 🔗Become Android Developer🔗Design PatternsFeynman TechniqueIn 30 DaysIn 6 MonthsLearning to CodeLearning to LearnLearning via GamesCybersecurity 🔗LanguagesBlockchainC C# C++GoHTML & CSS🔗Javascript🔗PHPPython 🔗Ruby on RailsSQL 🔗In Partnership With UdacitySTARTUPSWestern WorldCaliforniaCentral EuropeCentral AmericaEastern EuropeMiddle AmericaNorthern EuropeSouthern EuropeWestern EuropeEastern WorldAfricaEast AsiaMiddle EastOceaniaSouth AsiaSoutheast AsiaTrending CitiesLagosLondonLos AngelesMexico CityNew York CityPuneSan FranciscoRed Wood CitySingaporeSydneyTel AvivZugNoonies 2021 AwardsImportant InfoNomination and Voting HereRead Nominee Interviews HereAll Noonies 2021 UpdatesWhat are the Noonies?Noonies Launch 2021Award CategoriesDecentralizationInternet HeroesGamingPlanet InternetSoftware DevelopmentTechnologyAward-Winning TitlesCheeky Genius of the YearCritical Thinker of the YearRemote Work Advocate We NeedRick Sanchez of the YearBest Gaming Discord CommunityTech GiantsA to FAdobeAlphabetAmazonApacheAppleATTBoACoinbaseComcastEbayFacebookFoxconnG to NGoogleHPHuaweiIBMIntelIntuitLenovoMcDonaldsMicrosoftNetAppNetflixNvidiaO to ZOraclePfizerSamsungSonyTeslaTexas InstrumentsTencent3mTwitterUberLearn MoreMore Tech CompaniesAboutCompanyContact UsAbout UsCareersPodcastJoin Community (and Comment)Full List of Social Media AccountsRegular Platform UpdatesPeopleCEOCOOMeet the TeamInvestorsExternal Tech ExpertsAnnual Noonies AwardsShareholder UpdatesSoftware by HackerNoonSloggingAnnual Startup AwardsRemove Paywalled Stories from Google SearchHacker Noon is a GIFMobile Application Coming SoonHelpWritersWe Give all the FAQsStory Rejected?Account SettingsHow to use our EditorContactVisitorsWhat the FAQ?Sign UpGetting StartedHow to Navigate our SiteContactSponsorPartnershipsMedia KitWrite as a Business or BrandSitewide Yellow BillboardNewsletterNiche MarketingBlog for the Corporate SoulShopBybit — Earn up to a $3,000 bonus!Site ColorhexText ColorAd ColorhexText ColorEvergreenDuotoneMysteriousClassicSign Up to Save Your ColorsorAlready have an account? Sign me upPrivacyTermsTop 5 Business AI Innovations and Trends to Watch in 2022 by@itrexTop 5 Business AI Innovations and Trends to Watch in 2022October 19th 2021 Global eCommerce sales, for example, grew by 27.6% in 2020. The FBI received 69% more cybersecurity complaints last year than in 2019. The number of employees who use personal devices for work purposes has now reached 67%. The demand for skilled IT workers has skyrocketed, reaching 26,800 new tech jobs in August in the USA alone (up from 10,500 jobs in July 2021) The global AI spending, meanwhile, could soon reach $83.5 billion.@itrexITRexEmerging Tech Development & Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. CloudNEWABOUT PAGETo weather the COVID-19 storm and navigate the rapidly changing digital world, businesses are adopting artificial intelligence at a faster pace. To help our clients sail through digital transformation and create artificial intelligence solutions that deliver on their promise, we took up the challenge to identify AI trends and innovations that will define 2022. Here’s what we found.Factors Shaping AI Trends for 2022Economy growth drives enterprise IT spending. Nearly two years after the onset of the pandemic, the global economy could accelerate 5.6% in 2021. The United States, China, Germany, and South Korea are expected to recover to pre-pandemic GDP levels per capita by the end of this year. Subsequently, worldwide IT spending is projected to reach $4.072 trillion this year (an 8.4% increase from 2020). Regarding AI spending trends, half of the businesses surveyed by Appen are planning to invest anything between $500,000 and $5 million in AI projects (34% up from 2020). The global AI spending, meanwhile, could soon reach $83.5 billion.The global labor market sees a rapid change. Since Q4 2019, job openings in the United States have surged 33%, while the official number of unemployed Americans reached 8.38 million last August. The paradox could be explained by the fact that COVID-19 has changed multiple industries, such as travel, hospitality, education, and healthcare. The pandemic-related health risks and policy rearrangements have only aggravated the unemployment crisis. In the meantime, the demand for skilled IT workers has skyrocketed, reaching 26,800 new tech jobs in August in the USA alone (up from 10,500 jobs in July 2021). These factors could have a profound impact on artificial intelligence trends for the upcoming year.Cybercrime hits record high. Last year marked a drastic shift to online everything. Global eCommerce sales, for example, grew by 27.6% in 2020. The number of employees who use personal devices for work purposes has now reached 67%. And before the pandemic, only 45% of executives had regarded security as an integral part of their companies’ strategy. As a result, the FBI received 69% more cybersecurity complaints last year than in 2019. The USA officials estimated the damage caused by different types of cyberattacks, including malware, distributed denial of service (DDoS), and phishing events, at a whopping $4.2 billion. Could artificial intelligence innovations possibly help enterprises lead through the cybersecurity crisis?Enterprise struggle to implement AI at scale. Globally, businesses spent $50 billion on artificial intelligence projects in 2020. Yet, just 11% of AI adopters saw a sizeable return on their AI investments. One of the common reasons for such lackluster results is a failure to get a buy-in from the C-Suite and scale AI innovations across the enterprise. According to a survey conducted by Alegion and Dimensional Research, 78% of all AI/ML projects come to a halt between proof of concept (POC) and full-scale deployment.The environmental crisis is worsening. Recent reports indicate that Earth has already warmed by 1.1℃ compared to preindustrial times. The temperatures could further rise by up to 2℃ in the next 30 years, causing irreversible damage to agricultural land, forests, and biological systems. By 2050, climate change could wipe off up to 18% of the global economy’s total GDP. It’s high time enterprises leveraged AI advances to address climate change.National AI strategies emerge. As more economies recognize AI’s potential to boost growth, resilience, and productivity across public and private sectors, national artificial strategies are beginning to take shape. A total of 50 countries, including the United States, China, and the United Kingdom, have national AI strategies in the works. The US artificial intelligence strategy, for example, will focus on fostering and attracting AI talent, addressing the semiconductor shortage, battling cybercrime, and ensuring the country’s leadership in the artificial intelligence race. Through 2021, the Biden administration could pour $6 billion into artificial intelligence projects and initiatives, influencing AI trends for decades on end.Business AI Innovations and Trends to Watch in 2022ROI-driven AI implementationAI-augmented automationRise of responsible AIUse of AI in cybersecurityEnvironmental AI innovationsAI Trend #1: More Companies Could Adopt an ROI-Driven Approach to AI Development“Launching pilots is deceptively easy but deploying them into production is notoriously challenging… Although the potential for success is enormous, delivering business impact from AI initiatives takes much longer than anticipated.” — Chirag Dekate, Senior Director Analyst at Gartner Some of the common reasons for AI projects’ unclear financial outcomes include:Limited access to quality training dataA lack of resources and skills to implement artificial intelligence at scaleA tendency to overcomplicate things — for instance, by using deep neural networks where simpler yet highly effective machine learning techniques could produce similar resultsA failure to gain buy-in at the executive level and proceed to a full-blown projectHere at ITRex, we believe that one of the biggest artificial intelligence trends for 2022 (and the years after!) will be taking an incremental, ROI-driven approach to AI development.The concept of ROI-driven AI engineering and deployment pivots on:Fostering collaboration between business and IT teams, which could help companies decide on the business outcomes of deploying AI innovations beforehand and ensure C-Suite supportSelecting a limited number of use cases for an AI pilot while devising a broader implementation plan early onUpskilling existing IT teams and enlisting the help of experienced artificial intelligence companies — either for turnkey AI system engineering or data preparation tasks, such as discovery, cleansing, and labelingUtilizing a powerful combo of SaaS, open-source, and custom-made AI solution components to speed up development cyclesDitching vast piles of historical data, which has become less relevant since the COVID-19 outbreak, in favor of wide and small data; the former is aggregated from a variety of sources, while the latter is easier to interpret and delivers instant insightsLearning from failures, retraining algorithms on new data, and creating a continuous loop for machine learning model redeploymentAI Trend #2: Enterprises Will Aim for AI-Augmented Automation“Last year, IT spending took the form of a knee-jerk reaction to enable a remote workforce in a matter of weeks. As hybrid work takes hold, CIOs will focus on spending that enables innovation, not just task completion.” — John-David Lovelock, Research Vice President at Gartner In the pandemic-ridden world, the role of information technology has shifted from supporting business operations to delivering business value. This change has had a profound impact on AI innovations and trends.A breakdown of AI use cases in business. SourceFueled by 5G rollouts, more powerful computer chips, the diminishing sensor prices, and flexible cloud services, the convergence of robotic process automation (RPA), artificial intelligence, and the Internet of Things (IoT) technologies has become a viable reality. This powerful trio brings companies one step closer to AI-augmented automation and pervasive intelligence. From lightweight RPA robots that take over payment processing tasks in healthcare to self-checkout solutions that know precisely which items a customer has put in the basket, recent advances in artificial intelligence will help enterprises achieve resilience and significant cost reductions. Here are some stats to prove it:80% of executives are currently accelerating their business process automation efforts (World Economic Forum)25% of companies already use AI in workflow automation, while 51% of enterprises are planning to do so shortly (Salesforce)By 2023, 40% of infrastructure and operations (I&O) teams will use AI-augmented automation in large enterprises, freeing up IT personnel’s time for strategic work (Gartner)66% of businesses have increased their revenue by deploying artificial intelligence systems (McKinsey)Through 2021, enterprise AI budgets have increased, with 74% of companies allocating $500,000 or more for their artificial intelligence projects, which marks a 55% increase from 2020 (Appen)AI Trend #3: Responsible AI Takes Center Stage“Responsible AI helps achieve fairness, even though biases are baked into the data; gain trust, although transparency and explainability methods are evolving; and ensure regulatory compliance, while grappling with AI’s probabilistic nature.” — Svetlana Sicular, Research VP at Gartner In their recent article for Harvard Business Review, David De Cremer and Garry Kasparov described AI-based machines as “fast, more accurate, and consistently rational,” noting, however, that present-day AI innovations often lack intuition, emotional intelligence, and cultural sensitivity. While end-to-end automation and subsequent workforce reductions are not yet among the artificial intelligence trends for 2022, governments will need to address the moral implications of artificial intelligence adoption in their national AI strategies, ensuring positive automation outcomes for all parties involved. When it comes to business AI, companies should focus on creating intelligent systems that explain the rationale behind their decisions and do not discriminate against people based on their ethnicity, age, gender, religion, or place of residence. Additionally, stakeholders need to clearly communicate automation benefits to get employees on board and encourage them to participate in AI deployment and training. These numbers indicate that ethical, responsible artificial intelligence usage will be one of the defining AI trends for the upcoming year:Through 2022, every company could have 35 AI projects in development (CIO, Gartner)65% of companies cannot explain how their AI systems make decisions and predictions (FICO, Corinium)78% of enterprises are poorly equipped to consider the ethical implications of using artificial intelligence (FICO, Corinium)Only 45% of businesses engage in ethical AI monitoring (FICO, Corinium)By 2023, all AI professionals will have to demonstrate a good grasp of responsible AI principles to secure a job (Gartner)AI Trend #4: Artificial Intelligence Will Lead the Cybersecurity Revolution“We’ve seen a lot of the ransomware attacks and what it’s done. And in particular, it has impacted business resiliency. It’s no longer the case of encrypted computer and, you know, Reimage, and carry on. It’s impacting massive amounts of business and costing hundreds of millions of dollars.” — George Kurtz, CEO at CrowdStrike Holdings, Inc.Using intelligent algorithms for cyberattack prevention became one of the most significant AI innovations of the past years. Forward-thinking enterprises leverage artificial intelligence to detect suspicious traffic within corporate IT networks, identify malicious software programs, spot infected links in employees’ emails, and even model cyberattack scenarios based on vulnerability assessments. The trouble is, the other side (i.e., cybercriminals) can do the magic too. For example, hackers can now manipulate the data used for AI model training, causing adversarial attacks. Other AI breakthroughs in the cybercrime field include inference, which allows attackers to access sensitive data by reversing AI engineer systems, and advanced social engineering techniques driven by behavior analytics. Additionally, hackers may employ AI to pinpoint security vulnerabilities in corporate IT systems. To address these looming threats, companies looking to deploy AI innovations should closely monitor all the data presented to AI models, review real-world data used for model training, and build the elements of randomness into their artificial intelligence models. Below you will find several statistics shedding light on artificial intelligence trends in the cybersecurity domain:Over 51% of enterprises use artificial intelligence to detect cybersecurity threats (Capgemini)Through 2021, 30% of organizations have already fallen victim to adversarial attacks — compared to just 12% in 2020 (FICO, Corinium)Hacking, customer fraud, and data breaches have grown by 5–12% in 2021 (FICO, Corinium)Automated cybersecurity solutions could increase the global revenue opportunities by $5.2 trillion in the next five years (Accenture)Between 2020 and 2027, the global AI cybersecurity market could be growing at a CAGR of 23.6%, topping $46 billion by the end of the given period (Meticulous Market Research)AI Trend #5: Artificial Intelligence Will Drive Sustainability in Enterprises“We cannot reduce what we cannot measure. Corporations ‘ climate action does not match our ambitions: one of the main reasons is that corporations don’t accurately measure their climate impact and track it enough over time. Fortunately, tools and techniques to help us exist, one of the most powerful ones is artificial intelligence.” — Charlotte Degot, Managing Director and Partner at BCG GAMMA Through 2022 and beyond, governments and businesses alike could turn to artificial intelligence to reduce reliance on fossil fuels, combat deforestation, and cut CO2 emissions. And while green AI innovations are still scarce at national levels, we’ve seen several commercial AI deployments that assist businesses in achieving their sustainability goals. Google, for instance, coupled their data center cooling technology with deep learning and reduced energy consumption by 40%. And CO2 AI, a novel sustainable artificial intelligence solution by Boston Consulting Group, helps enterprises cut CO2 emissions by 30–40% by accurately measuring their carbon footprint and making intelligent recommendations. These numbers prove that environmental sustainability is one of the hottest business AI trends for 2022:Artificial intelligence helps companies reduce greenhouse gas (GHG) emissions by up to 10% (BCG)The use of AI for GHG emission monitoring could result in $208–424 billion savings for global companies in the coming years (BCG)Artificial intelligence could aid the world in achieving 93% of the environmental sustainability goals defined by the United Nations (Springer Nature Sustainability Community)The growing adoption of sustainable AI systems could create up to 38.2 million jobs globally (PwC)The economic impact of AI-driven environmental solutions could reach $5.1 trillion by 2030 (PwC)If you need help navigating the emerging artificial intelligence trends or implementing AI innovations, please contact the ITRex team! Together you’ll build a brighter, safer, and greener future!Also published here.by ITRex @itrex.Emerging Tech Development & Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. CloudBring us your challenge!Explore Blockster - Be The First In Crypto & Blockchain IndustryRelated StoriesSubject MatterAll You Need is AI in Agriculture by @itrex #artificial-intelligence Best Practices in Account Management for Key Clients in 2022: New Year, Stronger Partnerships by @emissary #account-based-marketing How to Choose a Technical Partner for Your Business by @katerynaa #python Decipher Your Mind: Gamification, the Octalysis Framework, and the Psychology of Motivation by @likithhaa #gamification Uncover the Secret to Hiring the Right Mobile App Developer by @jaydevs #hire-mobile-app-developer Build a Startup Program for Your SaaS Business: A How to Guide by @chartmogul #chartmogul Tags#ai#artificial-intelligence-trends#ai-trends#future-of-ai#ai-technology#ai-trends-2022#good-company#business-ai-trends-innovationsJoin Hacker Noon ABOUTCareersContactCookiesHelpPrivacyTermsREADArchiveLeaderboardReviewsSignupTech TagsTop StoriesWRITEDistributionEditor TipsGuidelinesNew StoryPerksWhy WriteSPONSORBrand PublishingCase StudiesNiche MarketingNewsletterSitewide BillboardWriting ContestsThe Hacker Noon NewsletterQuality Weekly Reads About Technology Infiltrating EverythingSubscribefree Yes, I agree to receive emails about tech eating the world.
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Top 5 Business AI Innovations and Trends to Watch in 2022
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Top 5 Business AI Innovations Trends Watch in2022 Hacker NoonStart WritingStart WritingReadDiscover Sort ByTop StoriesTop WritersAll TopicsDaily ArchiveLive ReactionsSuperTagTechBriefNoonificationNewslettersRandom StoryTechAll Topics Click HereAIBlockchainCybersecurityData ScienceDecentralizationFinanceFuturismGamingHardware ReviewsMachine LearningMediaProgrammingEngineeringRoboticsVirtual RealitySoftwareAPIsArchitectureCCodingEngineeringJavaJavascriptNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftTop StoriesLatestAll Top StoriesWhat Makes TikTok Addictive?How Adult Content Creators Shaping Future NFTs3 Best Metaverse Games Follow 2022Legal Wins Remote Teams: Expectation Vs. 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Sign upPrivacyTermsTop 5 Business AI Innovations Trends Watch in2022by 5 Business AI Innovations Trends Watch in2022October 19th 2021 Global eCommerce sales, example, grew 27.6 2020. The FBI received 69 cybersecurity complaints year 2019. The number employees use personal devices work purposes reached 67. The demand skilled IT workers skyrocketed, reaching 26,800 new tech jobs August USA 10,500 jobs July 2021 The global AI spending, meanwhile, soon reach 83.5 billion. Tech Development Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. CloudNEWABOUT PAGETo weather COVID19 storm navigate rapidly changing digital world, businesses adopting artificial intelligence faster pace. To help clients sail digital transformation create artificial intelligence solutions deliver promise, took challenge identify AI trends innovations define 2022. Heres found.Factors Shaping AI Trends for2022Economy growth drives enterprise IT spending. Nearly years onset pandemic, global economy accelerate 5.6 2021. The United States, China, Germany, South Korea expected recover prepandemic GDP levels capita end year. Subsequently, worldwide IT spending projected reach 4.072 trillion year 8.4 increase 2020. Regarding AI spending trends, half businesses surveyed Appen planning invest 500,000 5 million AI projects 34 2020. The global AI spending, meanwhile, soon reach 83.5 billion.The global labor market sees rapid change. Since Q4 2019, job openings United States surged 33, official number unemployed Americans reached 8.38 million August. The paradox explained fact COVID19 changed multiple industries, travel, hospitality, education, healthcare. The pandemicrelated health risks policy rearrangements aggravated unemployment crisis. In meantime, demand skilled IT workers skyrocketed, reaching 26,800 new tech jobs August USA 10,500 jobs July 2021. These factors profound impact artificial intelligence trends upcoming year.Cybercrime hits record high. Last year marked drastic shift online everything. Global eCommerce sales, example, grew 27.6 2020. The number employees use personal devices work purposes reached 67. And pandemic, 45 executives regarded security integral companies strategy. As result, FBI received 69 cybersecurity complaints year 2019. The USA officials estimated damage caused different types cyberattacks, including malware, distributed denial service DDoS, phishing events, whopping 4.2 billion. Could artificial intelligence innovations possibly help enterprises lead cybersecurity crisis?Enterprise struggle implement AI scale. Globally, businesses spent 50 billion artificial intelligence projects 2020. Yet, 11 AI adopters saw sizeable return AI investments. One common reasons lackluster results failure buyin CSuite scale AI innovations enterprise. According survey conducted Alegion Dimensional Research, 78 AIML projects come halt proof concept POC fullscale deployment.The environmental crisis worsening. Recent reports indicate Earth warmed 1.1 compared preindustrial times. The temperatures rise 2 30 years, causing irreversible damage agricultural land, forests, biological systems. By 2050, climate change wipe 18 global economys total GDP. Its high time enterprises leveraged AI advances address climate change.National AI strategies emerge. As economies recognize AIs potential boost growth, resilience, productivity public private sectors, national artificial strategies beginning shape. A total 50 countries, including United States, China, United Kingdom, national AI strategies works. The US artificial intelligence strategy, example, focus fostering attracting AI talent, addressing semiconductor shortage, battling cybercrime, ensuring countrys leadership artificial intelligence race. Through 2021, Biden administration pour 6 billion artificial intelligence projects initiatives, influencing AI trends decades end.Business AI Innovations Trends Watch in2022ROIdriven AI implementationAIaugmented automationRise responsible AIUse AI cybersecurityEnvironmental AI innovationsAI Trend 1: More Companies Could Adopt ROIDriven Approach AI DevelopmentLaunching pilots deceptively easy deploying production notoriously challenging Although potential success enormous, delivering business impact AI initiatives takes longer anticipated. Chirag Dekate, Senior Director Analyst GartnerSome common reasons AI projects unclear financial outcomes include:Limited access quality training dataA lack resources skills implement artificial intelligence scaleA tendency overcomplicate thingsfor instance, deep neural networks simpler highly effective machine learning techniques produce similar resultsA failure gain buyin executive level proceed fullblown projectHere ITRex, believe biggest artificial intelligence trends 2022 years taking incremental, ROIdriven approach AI development.The concept ROIdriven AI engineering deployment pivots on:Fostering collaboration business IT teams, help companies decide business outcomes deploying AI innovations ensure CSuite supportSelecting limited number use cases AI pilot devising broader implementation plan early onUpskilling existing IT teams enlisting help experienced artificial intelligence companieseither turnkey AI engineering data preparation tasks, discovery, cleansing, labelingUtilizing powerful combo SaaS, opensource, custommade AI solution components speed development cyclesDitching vast piles historical data, relevant COVID19 outbreak, favor wide small data; aggregated variety sources, easier interpret delivers instant insightsLearning failures, retraining algorithms new data, creating continuous loop machine learning model redeploymentAI Trend 2: Enterprises Will Aim AIAugmented AutomationLast year, IT spending took form kneejerk reaction enable remote workforce matter weeks. As hybrid work takes hold, CIOs focus spending enables innovation, task completion. JohnDavid Lovelock, Research Vice President GartnerIn pandemicridden world, role information technology shifted supporting business operations delivering business value. This change profound impact AI innovations trends.A breakdown AI use cases business. SourceFueled 5G rollouts, powerful chips, diminishing sensor prices, flexible cloud services, convergence robotic process automation RPA, artificial intelligence, Internet Things IoT technologies viable reality. This powerful trio brings companies step closer AIaugmented automation pervasive intelligence.From lightweight RPA robots payment processing tasks healthcare selfcheckout solutions know precisely items customer basket, recent advances artificial intelligence help enterprises achieve resilience significant cost reductions. Here stats prove it:80 executives currently accelerating business process automation efforts World Economic Forum25 companies use AI workflow automation, 51 enterprises planning shortly SalesforceBy 2023, 40 infrastructure operations IO teams use AIaugmented automation large enterprises, freeing IT personnels time strategic work Gartner66 businesses increased revenue deploying artificial intelligence systems McKinseyThrough 2021, enterprise AI budgets increased, 74 companies allocating 500,000 artificial intelligence projects, marks 55 increase 2020 AppenAI Trend 3: Responsible AI Takes CenterStageResponsible AI helps achieve fairness, biases baked data; gain trust, transparency explainability methods evolving; ensure regulatory compliance, grappling AIs probabilistic nature. Svetlana Sicular, Research VP GartnerIn recent article Harvard Business Review, David De Cremer Garry Kasparov described AIbased machines fast, accurate, consistently rational, noting, however, presentday AI innovations lack intuition, emotional intelligence, cultural sensitivity.While endtoend automation subsequent workforce reductions artificial intelligence trends 2022, governments need address moral implications artificial intelligence adoption national AI strategies, ensuring positive automation outcomes parties involved.When comes business AI, companies focus creating intelligent systems explain rationale decisions discriminate people based ethnicity, age, gender, religion, place residence. Additionally, stakeholders need clearly communicate automation benefits employees board encourage participate AI deployment training.These numbers indicate ethical, responsible artificial intelligence usage defining AI trends upcoming year:Through 2022, company 35 AI projects development CIO, Gartner65 companies explain AI systems decisions predictions FICO, Corinium78 enterprises poorly equipped consider ethical implications artificial intelligence FICO, CoriniumOnly 45 businesses engage ethical AI monitoring FICO, CoriniumBy 2023, AI professionals demonstrate good grasp responsible AI principles secure job GartnerAI Trend 4: Artificial Intelligence Will Lead Cybersecurity RevolutionWeve seen lot ransomware attacks done. And particular, impacted business resiliency. Its longer case encrypted and, know, Reimage, carry on. Its impacting massive amounts business costing hundreds millions dollars. George Kurtz, CEO CrowdStrike Holdings, .Using intelligent algorithms cyberattack prevention significant AI innovations past years. Forwardthinking enterprises leverage artificial intelligence detect suspicious traffic corporate IT networks, identify malicious software programs, spot infected links employees emails, model cyberattack scenarios based vulnerability assessments.The trouble is, i.e., cybercriminals magic too. For example, hackers manipulate data AI model training, causing adversarial attacks. Other AI breakthroughs cybercrime field include inference, allows attackers access sensitive data reversing AI engineer systems, advanced social engineering techniques driven behavior analytics. Additionally, hackers employ AI pinpoint security vulnerabilities corporate IT systems.To address looming threats, companies looking deploy AI innovations closely monitor data presented AI models, review realworld data model training, build elements randomness artificial intelligence models.Below statistics shedding light artificial intelligence trends cybersecurity domain:Over 51 enterprises use artificial intelligence detect cybersecurity threats CapgeminiThrough 2021, 30 organizations fallen victim adversarial attackscompared 12 2020 FICO, CoriniumHacking, customer fraud, data breaches grown 512 2021 FICO, CoriniumAutomated cybersecurity solutions increase global revenue opportunities 5.2 trillion years AccentureBetween 2020 2027, global AI cybersecurity market growing CAGR 23.6, topping 46 billion end given period Meticulous Market ResearchAI Trend 5: Artificial Intelligence Will Drive Sustainability EnterprisesWe reduce measure. Corporations climate action match ambitions: main reasons corporations dont accurately measure climate impact track time. Fortunately, tools techniques help exist, powerful ones artificial intelligence. Charlotte Degot, Managing Director Partner BCG GAMMAThrough 2022 beyond, governments businesses alike turn artificial intelligence reduce reliance fossil fuels, combat deforestation, cut CO2 emissions. And green AI innovations scarce national levels, weve seen commercial AI deployments assist businesses achieving sustainability goals.Google, instance, coupled data center cooling technology deep learning reduced energy consumption 40. And CO2 AI, novel sustainable artificial intelligence solution Boston Consulting Group, helps enterprises cut CO2 emissions 3040 accurately measuring carbon footprint making intelligent recommendations.These numbers prove environmental sustainability hottest business AI trends 2022:Artificial intelligence helps companies reduce greenhouse gas GHG emissions 10 BCGThe use AI GHG emission monitoring result 208424 billion savings global companies coming years BCGArtificial intelligence aid world achieving 93 environmental sustainability goals defined United Nations Springer Nature Sustainability CommunityThe growing adoption sustainable AI systems create 38.2 million jobs globally PwCThe economic impact AIdriven environmental solutions reach 5.1 trillion 2030 PwCIf need help navigating emerging artificial intelligence trends implementing AI innovations, contact ITRex team Together youll build brighter, safer, greener futureAlso published here.by ITRex Tech Development Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. CloudBring challengeExplore Blockster Be The First In Crypto Blockchain IndustryRelated StoriesSubject MatterAll You Need AI Agriculture artificialintelligence Best Practices Account Management Key Clients 2022: New Year, Stronger Partnerships accountbasedmarketing How Choose Technical Partner Your Business python Decipher Your Mind: Gamification, Octalysis Framework, Psychology Motivation gamification Uncover Secret Hiring Right Mobile App Developer hiremobileappdeveloper Build Startup Program Your SaaS Business: A How Guide chartmogul Tagsaiartificialintelligencetrendsaitrendsfutureofaiaitechnologyaitrends2022goodcompanybusinessaitrendsinnovationsJoin Hacker Noon ABOUTCareerssHelpPrivacyTermsREADArchiveLeaderboardReviewsSignupTech TagsTop StoriesWRITEDistributionEditor TipsGuidelinesNew StoryPerksWhy WriteSPONSORBrand PublishingCase StudiesNiche MarketingNewsletterSitewide BillboardWriting ContestsThe Hacker Noon NewsletterQuality Weekly Reads About Technology Infiltrating Everythingfree Yes, I agree receive emails tech eating world.
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https://hbr.org/2023/03/generative-ai-will-enhance-not-erase-customer-service-jobs
| 2023-03-31T00:00:00 |
en
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Generative AI Will Enhance — not Erase — Customer Service Jobs
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Generative AI Will Enhance — not Erase — Customer Service Jobs
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Technology and analytics
Generative AI Will Enhance — not Erase — Customer Service Jobs
Companies should start looking now for creative ways to tap the power of human-machine collaboration.
by
Paul R. Daugherty,
H. James Wilson,
and
Karthik Narain
by
Paul R. Daugherty,
H. James Wilson,
and
Karthik Narain
March 30, 2023
AndreyPopov/Getty Images
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Summary.
Unlike other major innovations where the technology was a relatively stable “product” when business started adopting it, the evolution of generative AI and LLMs will happen in parallel with adoption because the breakthrough is so big. Companies can’t afford to wait. Leaders must begin now to do the hard work of reinventing jobs and creating the most effective mix of human, automated, augmented, and emergent tasks in the context of the company’s specific business.
Because adoption and evolution of the technology will take place almost simultaneously, generative AI will be continually disruptive. But it will also unleash human creativity and empower people to solve problems that were unsolvable before.
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The potential for generative AI like ChatGPT to disrupt how humans interact with computers, change how information is retrieved, and transform jobs across industries has left a lot of company leaders scratching their heads. As with other breakthroughs in AI, ChatGPT and similar large language models (LLMs) raise big questions about their impact on jobs and how companies can apply them productively and responsibly.
We believe that leading companies should neither attempt to automate human jobs out of existence nor cautiously wait on the sidelines until the well-documented shortcomings of generative AI are ironed out. Instead, in areas where the application of generative AI shows promise, companies should take a more strategic tack. First, they can break down jobs into underlying bundles of tasks. Then they can determine how the introduction of generative AI might affect each of those tasks. They will find, as we did in our research, that the net effect on jobs will be to create a new set of human work tasks — many of them of higher value.
Breaking Down Job Tasks
Customer service, a vital activity in almost every industry, provides an instructive case in point of the ways generative AI will enrich — not erase — jobs. For example, we found that the bulk of work for customer service representatives could be broken down into 13 existing tasks. We then analyzed how the introduction of generative AI might affect each of those tasks. Four of the tasks remained unchanged and could be performed entirely by humans. Four tasks could be fully automated. Five tasks could be augmented to help humans work more effectively. And five new, high-value tasks emerge. Human, automated, augmented, and emergent tasks — these are the ingredients of a new mix of tasks around which companies should redesign jobs to get the maximum advantage from generative AI.
Insight Center Collection
Creating a Compelling Customer Experience
It’s about building a genuine relationship.
The four human tasks, unaffected by generative AI and performed entirely by customer service personnel, included such activities as the arrangement of customer-facing environments and directing organizational operations, activities, and procedures. The four customer service tasks that could be fully and effectively automated included such repetitive structured tasks as determining the prices of goods and services and collecting payments. And the five augmented customer service tasks that needed to be reinvented around collaboration between customer service reps (CSRs) and generative AI included such activities as responding to customer problems or inquiries, providing information to guests, clients, or customers, and promoting products or services.
Despite the media narrative to the contrary, generative AI will not wipe out entire categories of jobs, such as those in customer service. Automation is ideally about unlocking human potential to do tasks differently and do different, higher-value tasks.
In our book, Human + Machine: Reimaging Work in the Age of AI, we detailed how leading companies were using artificial intelligence to augment human capabilities, not replace them. The same dynamic will drive the use of generative AI as companies find even more creative ways to tap the power of human-machine collaboration.
For example, the ability of generative AI to put massive amounts of information at the fingertips of CSRs greatly increases their capacity to resolve the customer’s problem more thoroughly and quickly than either a chatbot alone or a CSR following a rote script. But because conversational AI can sometimes produce plausible sounding but nevertheless incorrect, irrelevant, or nonsensical responses, a human must remain in the loop to ensure the accuracy and trustworthiness of machine-generated suggestions and information.
Putting a Premium on Human Expertise
A creative mix of human, automated, and augmented customer service tasks can give organizations a leg up on less imaginative competitors. But we believe that in order to tap the full potential of generative AI, customer service personnel will need to perform new and unprecedented tasks that put a premium on distinctively human tasks.
This is consistent with our findings in our most recent book Radically Human, where we detailed the ways in which even newer approaches to AI, fast-forwarded by the pressures of the pandemic, were upending assumptions about the role of people in the emerging technological ecosystem. Instead of being dominated by intelligent machines, people are now guiding them based on human experience, perception, and expertise. In fact, ChatGPT and its predecessors were trained with a technique called reinforcement learning from human feedback (RLHF), and its developers are continuing to refine it based on how people are using it online. As one of ChatGPT’s developers told Technology Review, “This is ChatGPT’s secret sauce. The basic idea is to take a large language model with a tendency to spit out anything it wants…and tune it by teaching it what kinds of responses human users actually prefer.”
In the domain of customer service, the advent of generative AI, guided by humans, will require such higher-order cognitive work as judgment, insight, moral reasoning, and innovation. This is a far cry from following scripts or handing off customers to other, more knowledgeable CSRs. Much of this higher-order work will be focused on maintaining, monitoring, and improving the performance of the generative AI itself. As CSRs simultaneously use the system and evaluate its performance, their internal radar must always be on. Because these activities are of a higher order, they seem less like discrete tasks than like ongoing responsibilities, requiring great sensitivity, new behaviors, and insight. In our analysis, we found at least five such new tasks that will need to be incorporated in the customer service jobs of the future.
Pursuing continual improvement.
Because generative AI is rapidly evolving, customer service organizations will need to continually find new and more powerful ways to use it. This is not just a task for designers but for CSRs as well, who know first-hand what is working, not working, or could be improved. Their insight and experience could be invaluable in such areas as self-service, automated response, and personalization. Leaders of customer service organizations will need to create pathways or processes for CSRs to provide their input.
Making sure the system aligns with the customer.
Determining whether a generative AI-driven system is accurately gauging human intent, is solving what the customer wants solved, and doing it in a way that aligns with the customer’s values will be an ongoing human task. Customer service personnel will need to be able to evaluate customer interactions in those terms, continually make sure that machine output is aligned with them, and have a means for reporting misalignment.
Testing and evaluating avatars for customer interactions.
Mimicking human features and characteristics in avatars of a conversational AI can be a valuable way of creating rapport with users. But customer service personnel must continually monitor and evaluate the many risks such representations run such as unconscious biases embedded in an avatar’s appearance, gender, and tone of voice. These are moving targets, and keeping up with them will require sensitivity on the part of customer service workers.
Monitoring data privacy and minimizing data bias.
Companies should always be mindful of how much data they are collecting and whether its use is replicating the biases of the AI system. Customer service representatives can learn to spot issues of data privacy and elevate them to supervisors quickly. They can also test new uses of the system for potential biases, a task for which their testing of avatars should help prepare them.
Assuring ethical machine behavior.
Conversational AI can increase trust and engagement, assuage loneliness, and has even shown promise in helping children with autism disorders and people recovering from trauma. But such abilities also generate a host of ethical and compliance issues. Conversational AI can be extremely persuasive, which in combination with its ability to engender trust, can be used to sell products and services customers don’t want or need. Moreover, conversational AI can profile users at scale and exploit their emotional and cognitive biases — a practice explicitly forbidden under the European Union’s Digital Services Act. Customer services personnel, especially those involved in selling products and services, are uniquely placed to understand both when the machine is on its best behavior and when it steps over an ethical line.
The Path Forward
Customer service, while illustrative, represents only a small slice of the impact generative AI will have across your entire organization — and soon. Unlike other major innovations where the technology was a relatively stable “product” when business started adopting it, the evolution of generative AI and LLMs will happen in parallel with adoption because the breakthrough is so big. Companies can’t afford to wait. Leaders must begin now to do the hard work of reinventing jobs and creating the most effective mix of human, automated, augmented, and emergent tasks in the context of the company’s specific business.
Because adoption and evolution of the technology will take place almost simultaneously, generative AI will be continually disruptive. But it will also unleash human creativity and empower people to solve problems that were unsolvable before. Imagine, for example, a generative AI system that is continually trained, in part, on customer interactions and uses what it “knows” to suggest previously unimaginable products and services. Going far beyond data mining and other product development and marketing tools, such a system might generate product ideas with a nuance and specificity that includes design details, the size of the market, and the path of the new product’s continuing evolution and enhancement.
This power of generative AI and large language models to understand all the history, context, nuance, and intent of a business offers a once-in-a-generation opportunity. With the power to draw from anything that is conveyed through language (documents, emails, chats, video and audio recordings, as well as your applications and systems), you can come out the other side knowing everything your organization has ever known to drive next-level innovation, optimization, and reinvention.
The speed of development will continue to be breathtaking. We’re at the start of an incredibly exciting era that will fundamentally transform the way information is accessed, content is created, customer needs are served, and businesses are run. Companies that act first and most aggressively stand to create an outsize advantage over those who hesitate, elevating employee capabilities, delighting customers, and introducing powerful new business models.
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Paul Daugherty is Accenture’s group chief executive – technology and CTO. He is a coauthor of Radically Human: How New Technology Is Transforming Business and Shaping Our Future (Harvard Business Review Press, 2022) and Human + Machine: Reimagining Work in the Age of AI (Harvard Business Review Press, 2018).
pauldaugh
H. James Wilson is the global managing director of thought leadership & technology research at Accenture. He coauthored multiple books including Radically Human: How New Technology Is Transforming Business and Shaping Our Future (Harvard Business Review Press, 2022) and Human + Machine: Reimagining Work in the Age of AI (Harvard Business Review Press, 2018).
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Karthik Narain leads Accenture’s cloud business.
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Generative AI Will Enhance — not Erase — Customer Service Jobs
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Generative AI Will Enhance Erase Customer Service Jobs Navigation Menu Account Menu Menu Close menu CLEAR SUGGESTED TOPICS Explore HBR Diversity Latest The Magazine Ascend Podcasts Video Store Webinars Newsletters Popular Topics Managing Yourself Leadership Strategy Managing Teams Gender Innovation Worklife Balance All Topics For rs The Big Idea Data Visuals Reading Lists Case Selections HBR Learning My Account My Library Topic Feeds Orders Account Settings Email Preferences Log Out Diversity Latest Podcasts Video The Magazine Ascend Store Webinars Newsletters All Topics The Big Idea Data Visuals Reading Lists Case Selections HBR Learning My Library Account Settings Log Out Your Cart Your Shopping Cart empty. Visit Our Store Guest User r My Library Topic Feeds Orders Account Settings Email Preferences Log Out Reading List Reading Lists You 1 free articles left month. You reading free article month. unlimited access. Create account read 2 more. Technology analytics Generative AI Will Enhance Erase Customer Service Jobs Companies start looking creative ways tap power humanmachine collaboration. Paul R. Daugherty, H. James Wilson, Karthik Narain Paul R. Daugherty, H. James Wilson, Karthik Narain March 30, 2023 AndreyPopovGetty Images Tweet Post Share Annotate Save Print Summary. Unlike major innovations technology relatively stable product business started adopting it, evolution generative AI LLMs happen parallel adoption breakthrough big. Companies afford wait. Leaders begin hard work reinventing jobs creating effective mix human, automated, augmented, emergent tasks context companys specific business. Because adoption evolution technology place simultaneously, generative AI continually disruptive. But unleash human creativity empower people solve problems unsolvable before. Tweet Post Share Annotate Save Print Leer en espaol Ler em portugus The potential generative AI like ChatGPT disrupt humans interact computers, change information retrieved, transform jobs industries left lot company leaders scratching heads. As breakthroughs AI, ChatGPT similar large language models LLMs raise big questions impact jobs companies apply productively responsibly. We believe leading companies attempt automate human jobs existence cautiously wait sidelines welldocumented shortcomings generative AI ironed out. Instead, areas application generative AI shows promise, companies strategic tack. First, break jobs underlying bundles tasks. Then determine introduction generative AI affect tasks. They find, research, net effect jobs create new set human work tasks higher value. Breaking Down Job Tasks Customer service, vital activity industry, provides instructive case point ways generative AI enrich erase jobs. For example, bulk work customer service representatives broken 13 existing tasks. We analyzed introduction generative AI affect tasks. Four tasks remained unchanged performed entirely humans. Four tasks fully automated. Five tasks augmented help humans work effectively. And new, highvalue tasks emerge. Human, automated, augmented, emergent tasks ingredients new mix tasks companies redesign jobs maximum advantage generative AI. Insight Center Collection Creating Compelling Customer Experience Its building genuine relationship. The human tasks, unaffected generative AI performed entirely customer service personnel, included activities arrangement customerfacing environments directing organizational operations, activities, procedures. The customer service tasks fully effectively automated included repetitive structured tasks determining prices goods services collecting payments. And augmented customer service tasks needed reinvented collaboration customer service reps CSRs generative AI included activities responding customer problems inquiries, providing information guests, clients, customers, promoting products services. Despite media narrative contrary, generative AI wipe entire categories jobs, customer service. Automation ideally unlocking human potential tasks differently different, highervalue tasks. In book, Human Machine: Reimaging Work Age AI, detailed leading companies artificial intelligence augment human capabilities, replace them. The dynamic drive use generative AI companies creative ways tap power humanmachine collaboration. For example, ability generative AI massive amounts information fingertips CSRs greatly increases capacity resolve customers problem thoroughly quickly chatbot CSR following rote script. But conversational AI produce plausible sounding incorrect, irrelevant, nonsensical responses, human remain loop ensure accuracy trustworthiness machinegenerated suggestions information. Putting Premium Human Expertise A creative mix human, automated, augmented customer service tasks organizations leg imaginative competitors. But believe order tap potential generative AI, customer service personnel need perform new unprecedented tasks premium distinctively human tasks. This consistent findings recent book Radically Human, detailed ways newer approaches AI, fastforwarded pressures pandemic, upending assumptions role people emerging technological ecosystem. Instead dominated intelligent machines, people guiding based human experience, perception, expertise. In fact, ChatGPT predecessors trained technique called reinforcement learning human feedback RLHF, developers continuing refine based people online. As ChatGPTs developers told Technology Review, This ChatGPTs secret sauce. The basic idea large language model tendency spit wantsand tune teaching kinds responses human users actually prefer. In domain customer service, advent generative AI, guided humans, require higherorder cognitive work judgment, insight, moral reasoning, innovation. This far following scripts handing customers other, knowledgeable CSRs. Much higherorder work focused maintaining, monitoring, improving performance generative AI itself. As CSRs simultaneously use evaluate performance, internal radar on. Because activities higher order, like discrete tasks like ongoing responsibilities, requiring great sensitivity, new behaviors, insight. In analysis, new tasks need incorporated customer service jobs future. Pursuing continual improvement. Because generative AI rapidly evolving, customer service organizations need continually new powerful ways use it. This task designers CSRs well, know firsthand working, working, improved. Their insight experience invaluable areas selfservice, automated response, personalization. Leaders customer service organizations need create pathways processes CSRs provide input. Making sure aligns customer. Determining generative AIdriven accurately gauging human intent, solving customer wants solved, way aligns customers values ongoing human task. Customer service personnel need able evaluate customer interactions terms, continually sure machine output aligned them, means reporting misalignment. Testing evaluating avatars customer interactions. Mimicking human features characteristics avatars conversational AI valuable way creating rapport users. But customer service personnel continually monitor evaluate risks representations run unconscious biases embedded avatars appearance, gender, tone voice. These moving targets, keeping require sensitivity customer service workers. Monitoring data privacy minimizing data bias. Companies mindful data collecting use replicating biases AI system. Customer service representatives learn spot issues data privacy elevate supervisors quickly. They test new uses potential biases, task testing avatars help prepare them. Assuring ethical machine behavior. Conversational AI increase trust engagement, assuage loneliness, shown promise helping children autism disorders people recovering trauma. But abilities generate host ethical compliance issues. Conversational AI extremely persuasive, combination ability engender trust, sell products services customers dont want need. Moreover, conversational AI profile users scale exploit emotional cognitive biases practice explicitly forbidden European Unions Digital Services Act. Customer services personnel, especially involved selling products services, uniquely placed understand machine best behavior steps ethical line. The Path Forward Customer service, illustrative, represents small slice impact generative AI entire organization soon. Unlike major innovations technology relatively stable product business started adopting it, evolution generative AI LLMs happen parallel adoption breakthrough big. Companies afford wait. Leaders begin hard work reinventing jobs creating effective mix human, automated, augmented, emergent tasks context companys specific business. Because adoption evolution technology place simultaneously, generative AI continually disruptive. But unleash human creativity empower people solve problems unsolvable before. Imagine, example, generative AI continually trained, part, customer interactions uses knows suggest previously unimaginable products services. Going far data mining product development marketing tools, generate product ideas nuance specificity includes design details, size market, path new products continuing evolution enhancement. This power generative AI large language models understand history, context, nuance, intent business offers onceinageneration opportunity. With power draw conveyed language documents, emails, chats, video audio recordings, applications systems, come knowing organization known drive nextlevel innovation, optimization, reinvention. The speed development continue breathtaking. Were start incredibly exciting era fundamentally transform way information accessed, content created, customer needs served, businesses run. Companies act aggressively stand create outsize advantage hesitate, elevating employee capabilities, delighting customers, introducing powerful new business models. New HBR Learning Digital Intelligence Course Accelerate career Harvard ManageMentor. HBR Learnings online leadership training helps hone skills courses like Digital Intelligence . Earn badges share LinkedIn resume. Access 40 courses trusted Fortune 500 companies. Excel world thats continually transformed technology. Start Course Learn More See All Courses Read Technology analytics related topics AI machine learning, Algorithms, Analytics data science, Data management, Performance indicators, Automation Enterprise computing Paul Daugherty Accentures group chief executive technology CTO. He coauthor Radically Human: How New Technology Is Transforming Business Shaping Our Future Harvard Business Review Press, 2022 Human Machine: Reimagining Work Age AI Harvard Business Review Press, 2018. pauldaugh H. James Wilson global managing director thought leadership technology research Accenture. He coauthored multiple books including Radically Human: How New Technology Is Transforming Business Shaping Our Future Harvard Business Review Press, 2022 Human Machine: Reimagining Work Age AI Harvard Business Review Press, 2018. hjameswilson KN Karthik Narain leads Accentures cloud business. Tweet Post Share Annotate Save Print New HBR Learning Digital Intelligence Course Accelerate career Harvard ManageMentor. HBR Learnings online leadership training helps hone skills courses like Digital Intelligence . Earn badges share LinkedIn resume. Access 40 courses trusted Fortune 500 companies. Excel world thats continually transformed technology. 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] | 1 | 196,951 |
https://honestversion.com/2020/01/14/artificial-intelligenceai-in-retail-market-global-insights-top-domains-2019-2023-oracle-sap-intel-google-ibm-microsoft/
| 2020-01-15T00:00:00 |
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Artificial Intelligence(AI) in Retail Market Global Insights, Top Domains 2019-2023: Oracle, SAP, Intel, Google, IBM, Microsoft – Honest Version
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Artificial Intelligence(AI) in Retail Market Global Insights, Top Domains 2019-2023: Oracle, SAP, Intel, Google, IBM, Microsoft – Honest Version
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Artificial Intelligence(AI) in Retail Market Global Insights, Top Domains 2019-2023: Oracle, SAP, Intel, Google, IBM, Microsoft
David - January 14, 2020 - Sci-Tech
The market research title Global Artificial Intelligence(AI) in Retail Market Growth (Status and Outlook) 2018-2023 provides point to point breakdown covering data of Artificial Intelligence(AI) in Retail market, analytical study, regional analysis, growth factors, and leading companies. The report consists the growth pattern by the company, applications, types, and regions from 2018-2023. The essential aspects which drive the expansion of the market are also included in this report. The report covers market definitions, classifications and industry chain structure. Development trends, competitive landscape analysis, and key regions development are the key focuses of this report.
Our experts have added large key companies who play an important role in the production, manufacturing, sales, and distribution of the products. It’s an important document for industries active process and other individuals. Market share and certain trends of the past, future are also included in the report. The report figures out the product price, specification, financial and technical details, and research methodologies that will help businesses expand their market operations. The detailed segmentation by product type, application, and various processes and systems has been given in the report.
DOWNLOAD FREE SAMPLE REPORT: https://www.fiormarkets.com/report-detail/355577/request-sample
Global Artificial Intelligence(AI) in Retail market key players (sales revenue, price, gross margin, main products etc.) :
Below mentioned companies are analyzed upon their revenue, price margins in the market and main products they offer: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze
Market segment by product type, split into Online, Offline along with their consumption (sales), market share and growth rate.
Market segment by application, split into Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other along with their consumption (sales), market share and growth rate.
Market Drivers & Challenges:
The report covers the major driving factors influencing the revenue scale of the market and details about the surging demand for the product from the key geological regions.
The latest trends and challenges that prominent industry contenders could face are highlighted in the report.
The significant applications and potential business areas are also added to this report.
On the basis of geography, the Artificial Intelligence(AI) in Retail market report covers data points for multiple geographies such as Americas (United States, Canada, Mexico, Brazil), APAC (China, Japan, Korea, Southeast Asia, India, Australia), Europe (Germany, France, UK, Italy, Russia, Spain), Middle East & Africa (Egypt, South Africa, Israel, Turkey, GCC Countries)
ACCESS FULL REPORT: https://www.fiormarkets.com/report/global-artificial-intelligence-ai-in-retail-market-growth-status-355577.html
Moreover, The study comprises all resourceful constraints, limitations, openings, challenges as well as outlines the historical data, current and future momentum of the market. The complete value chain and downstream and upstream essentials are scrutinized in this report. Essential trends like globalization, growth progress boost fragmentation regulation & ecological concerns. Factors in relation to production like the product’s prototype, manufacturing method, and R&D development stage are well-explained in the global Artificial Intelligence(AI) in Retail market research report with point-to-point structure and with flowcharts. The report showcases the detail picture of the market and separates the key business influences. It encourages the client to make strategic moves and create their businesses.
Customization of the Report:This report can be customized to meet the client’s requirements. Please connect with our sales team ([email protected]), who will ensure that you get a report that suits your needs.
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Artificial Intelligence(AI) in Retail Market Global Insights, Top Domains 2019-2023: Oracle, SAP, Intel, Google, IBM, Microsoft
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Artificial IntelligenceAI Retail Market Global Insights, Top Domains 20192023: Oracle, SAP, Intel, Google, IBM, Microsoft Honest Version Skip content Menu HOME Honest Version Artificial IntelligenceAI Retail Market Global Insights, Top Domains 20192023: Oracle, SAP, Intel, Google, IBM, Microsoft David January 14, 2020 SciTech The market research title Global Artificial IntelligenceAI Retail Market Growth Status Outlook 20182023 provides point point breakdown covering data Artificial IntelligenceAI Retail market, analytical study, regional analysis, growth factors, leading companies. The report consists growth pattern company, applications, types, regions 20182023. The essential aspects drive expansion market included report. The report covers market definitions, classifications industry chain structure. Development trends, competitive landscape analysis, key regions development key focuses report. Our experts added large key companies play important role production, manufacturing, sales, distribution products. Its important document industries active process individuals. Market share certain trends past, future included report. The report figures product price, specification, financial technical details, research methodologies help businesses expand market operations. The detailed segmentation product type, application, processes systems given report. DOWNLOAD FREE SAMPLE REPORT: Global Artificial IntelligenceAI Retail market key players sales revenue, price, gross margin, main products etc. : Below mentioned companies analyzed revenue, price margins market main products offer: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze Market segment product type, split Online, Offline consumption sales, market share growth rate. Market segment application, split Predictive Merchandising, Programmatic Advertising, Market Forecasting, InStore Visual Monitoring Surveillance, LocationBased Marketing, Other consumption sales, market share growth rate. Market Drivers Challenges: The report covers major driving factors influencing revenue scale market details surging demand product key geological regions. The latest trends challenges prominent industry contenders face highlighted report. The significant applications potential business areas added report. On basis geography, Artificial IntelligenceAI Retail market report covers data points multiple geographies Americas United States, Canada, Mexico, Brazil, APAC China, Japan, Korea, Southeast Asia, India, Australia, Europe Germany, France, UK, Italy, Russia, Spain, Middle East Africa Egypt, South Africa, Israel, Turkey, GCC Countries ACCESS FULL REPORT: Moreover, The study comprises resourceful constraints, limitations, openings, challenges outlines historical data, current future momentum market. The complete value chain downstream upstream essentials scrutinized report. Essential trends like globalization, growth progress boost fragmentation regulation ecological concerns. Factors relation production like products prototype, manufacturing method, RD development stage wellexplained global Artificial IntelligenceAI Retail market research report pointtopoint structure flowcharts. The report showcases picture market separates key business influences. It encourages client strategic moves create businesses. Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs. Post Views: 283 Tagged Artificial IntelligenceAI Retail, Artificial IntelligenceAI Retail Industry Growth, Artificial IntelligenceAI Retail Manufacturers, Artificial IntelligenceAI Retail Market, Artificial IntelligenceAI Retail Market Trends, Global Artificial IntelligenceAI Retail Market 2019, google news, Market Deeper Post navigation Previous PostPrevious Data Center Virtualization Market Global Insights, Top Domains 20192023: Cisco Systems, ATT, Fujitsu, Radiant Communications, HPENext PostNext Wireless Local Area Network WLAN Devices Market Global Insights, Top Domains 20192023: Cisco Systems, Juniper Networks, Huawei Technologies Lokale komercyjne Sprzedam Biedronk 2020 Honest Version Powered FilaThemes
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https://hothardware.com/news/skype-founding-engineer-warns-of-ai-slaughterbot-future
| 2023-08-19T00:00:00 |
en
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Skype Founding Engineer Warns Of A Skynet AI Arms Race And ‘Slaughterbot’ Future | HotHardware
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Skype Founding Engineer Warns Of A Skynet AI Arms Race And ‘Slaughterbot’ Future | HotHardware
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News
Skype Founding Engineer Warns Of A Skynet AI Arms Race And ‘Slaughterbot’ Future
by
Tim Sweezy
—
Saturday, August 19, 2023, 01:26 PM EDT
Comments
Dire warnings from leaders in the area of AI technology continue to be voiced around the world. The latest comes from Jaan Tallinn, who founded two organizations, the Cambridge Centre for the Study of Existential Risk and the Future of Life Institute, to study and mitigate the risks of advancing AI technologies too quickly. In a recent interview, Tallin lets his opinion be heard about what he believes could be a real danger to humanity if leaders in the AI industry do not heed the warnings.
A founding engineer of Skype has sent out a warning that it might not be safe to go outside in the future due to the fear of being chased down by 'swarms of slaughterbots.' Jaan Tallinn's reference comes from a 2017 short film called 'Slaughterbots', which was released by the Future of Life Institute, which he is a part of.
During his interview, Tallin remarked, "The reason that humans are in permanent control of this planet and not chimpanzees is that we are more intelligent than they are." He continued to explain, "We are not stronger, but we know how to do long-term planning, etc. Now we as a species are in a race as a species to yield that advantage to machines, which the intuitions of people say is not a good idea."
Tallin's warnings go beyond the general fear many have right now of having AI replace them as workers, and extend to that of it being utilized by military forces throughout the world. He remarked, "Putting AI in the military makes it very hard for humanity to control AI's trajectory, because at this point you are in a literal arms race." He added, "When you're in an arms race, you don't have much maneuvering room when it comes to thinking about how to approach this new technology. You just have to go where the capabilities are and where the strategic advantage is."
This comes at a time when tensions between major powers have escalated around the world. Tallinn does, however, believe that it is not too late to slow the transition of AI into the military, much like has been done with bioweaponry.
The fear of an automated army of drones and humanoid robots has been fantasized in Hollywood movies for some time. Tallin notes, "The natural evolution for fully automated warfare is swarms of miniaturized drones that anyone with money can produce and release without attribution."
When asked about his position when it comes to when humanity should take a pause with advancing AI technology, Tallin remarked, "I think the correct position to take here is that as soon as we cannot rule out that we will remain in control for a long time, we should take necessary precautions to make sure either we remain in control, or if we lose control, the future will still be good for us."
The tough question remains of if now is that time in history. The interview with Tallin can be viewed in its entirety via the Aljazeera website.
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Skype Founding Engineer Warns Of A Skynet AI Arms Race And ‘Slaughterbot’ Future
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Skype Founding Engineer Warns Of A Skynet AI Arms Race And Slaughterbot Future HotHardware Skip content Full View Mode PC COMPONENTS SYSTEMS MOBILE IT INFRASTRUCTURE LEISURE VIDEOS BLOGS SHOP SUBSCRIBE SWITCH TO DESKTOP SIGN OUT SHOP FULL SITE SEND US TIPS JOIN LOG IN All News Features Blogs CATEGORIES Reviews News Blogs Shop PC COMPONENTS All PC Components Processors GraphicsSound Motherboards Storage Misc SYSTEMS All Systems DIY Small Form Factor Desktops MOBILE All Mobile Laptops Smartphones Tablets Gadgets IT INFRASTRUCTURE All IT Infrastructure Workstation Data CenterEnterprise Cloud Software Security LEISURE All Leisure Entertainment Gaming Social And Internet VIDEOS All videos 2.5 Geeks ReviewsHow Tos BLOGS Shop TRENDING: Galaxy Z Flip5, Galaxy Z Fold5 Review Dell XPS 17 9730 Google Pixel Fold Galaxy Watch6 And Galaxy Tab S 9 Razer Hammerhead Pro Earbuds Nothing Phone 2 home News Skype Founding Engineer Warns Of A Skynet AI Arms Race And Slaughterbot Future Tim Sweezy Saturday, August 19, 2023, 01:26 PM EDT Comments Dire warnings leaders area AI technology continue voiced world. The latest comes Jaan Tallinn, founded organizations, Cambridge Centre Study Existential Risk Future Life Institute, study mitigate risks advancing AI technologies quickly. In recent interview, Tallin lets opinion heard believes real danger humanity leaders AI industry heed warnings. A founding engineer Skype sent warning safe outside future fear chased swarms slaughterbots. Jaan Tallinns reference comes 2017 short film called Slaughterbots, released theFuture Life Institute, of. During interview, Tallin remarked, The reason humans permanent control planet chimpanzees intelligent are. He continued explain, We stronger, know longterm planning, etc. Now species race species yield advantage machines, intuitions people good idea. Tallins warnings general fear right AI replace workers, extend utilized military forces world. He remarked, Putting AI military makes hard humanity control AIs trajectory, point literal arms race. He added, When youre arms race, dont maneuvering room comes thinking approach new technology. You capabilities strategic advantage is. This comes time tensions major powers escalated world. Tallinn does, however, believe late slow transition AI military, like bioweaponry. The fear automated army drones humanoid robots fantasized Hollywood movies time. Tallin notes, The natural evolution fully automated warfare swarms miniaturized drones money produce release attribution. When asked position comes humanity pause advancing AI technology, Tallin remarked, I think correct position soon rule remain control long time, necessary precautions sure remain control, lose control, future good us. The tough question remains time history. The interview Tallin viewed entirety Aljazeera website. Comments Tags: robots, Skype, Humanoid, AI : Twitter Facebook RSS Email YouTube 85K 27K 39K TOP CONVERSATIONS Your Next PC Platform? Intel 13th Gen AMD Ryzen 7000 Intel Meteor Lake Ryzen 7000X3D More Results MORE HOT HEADLINES Microsoft CEO Nadella Says AI Is A Tidal... Hubble Space Telescope Captures Wild... New Beats Studio Buds Plus Are Already... Security Researcher Says Your Macs... PS3 Emulator RPCS3 Amps Retro Gaming... Lenovo Legion Go Gaming Handheld Leak... Fords Mustang GTD Is An 800HP... KEEP INFORMED SITE Home Reviews News Blogs Full Site Sitemap CATEGORIES PC Components Systems Mobile IT Infrastructure Leisure Videos COMPANY About Advertise News Tips HotTech ReprintsPermissions MORE Shop STAY CONNECTED Twitter Facebook YouTube RSS As Amazon Howl Technologies Associate, HotHardware earns commission qualifying purchases site. This site intended informational entertainment purposes only. The contents views opinion author andor associates. All products trademarks property respective owners. Reproduction part, form medium, express written permission Hot Hardware, . prohibited. All content graphical elements 1999 2023 David Altavilla Hot Hardware, .. Privacy Terms Accessibility Commitment X Social Media Manually Facebook Twitter Google Or sign manually: Sign Forgot password?
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An AI challenge only humans can solve
By India New England News - May 18, 2023 0 7
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Simon Johnson (Photo: MIT)
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CAMBRIDGE, Mass. — The Dark Ages were not entirely dark. Advances in agriculture and building technology increased Medieval wealth and led to a wave of cathedral construction in Europe. However, it was a time of profound inequality. Elites captured virtually all economic gains. In Britain, as Canterbury Cathedral soared upward, peasants had no net increase in wealth between 1100 and 1300. Life expectancy hovered around 25 years. Chronic malnutrition was rampant.
“We’ve been struggling to share prosperity for a long time,” says MIT Professor Simon Johnson. “Every cathedral that your parents dragged you to see in Europe is a symbol of despair and expropriation, made possible by higher productivity.”
At a glance, this might not seem relevant to life in 2023. But Johnson and his MIT colleague Daron Acemoglu, both economists, think it is. Technology drives economic progress. As innovations take hold, one perpetual question is: Who benefits?
This applies, the scholars believe, to automation and artificial intelligence, which is the focus of a new book by Acemoglu and Johnson, “Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity,” published this week by PublicAffairs. In it, they examine who reaped the rewards from past innovations and who may gain from AI today, economically and politically.
“The book is about the choices we make with technology,” Johnson says. “That’s a very MIT type of theme. But a lot of people feel technology just descends on you, and you have to live with it.”
AI could develop as a beneficial force, Johnson says. However, he adds, “Many algorithms are being designed to try to replace humans as much as possible. We think that’s entirely wrong. The way we make progress with technology is by making machines useful to people, not displacing them. In the past we have had automation, but with new tasks for people to do and sufficient countervailing power in society.”
Today, AI is a tool of social control for some governments that also creates riches for a small number of people, according to Acemoglu and Johnson. “The current path of AI is neither good for the economy nor for democracy, and these two problems, unfortunately, reinforce each other,” they write.
A return to shared prosperity?
Acemoglu and Johnson have collaborated before; in the early 2000s, with political scientist James Robinson, they produced influential papers about politics and economic progress. Acemoglu, an Institute Professor at MIT, also co-authored with Robinson the books “Why Nations Fail” (2012), about political institutions and growth, and “The Narrow Corridor” (2019), which casts liberty as the never-assured outcome of social struggle.
Johnson, the Ronald A. Kurtz Professor of Entrepreneurship at the MIT Sloan School of Management, wrote “13 Bankers” (2010), about finance reform, and, with MIT economist Jonathan Gruber, “Jump-Starting America” (2019), a call for more investment in scientific research.
In “Power and Progress,” the authors emphasize that technology has created remarkable long-term benefits. As they write, “we are greatly better off than our ancestors,” and “scientific and technological progress is a vital part of that story.”
Still, a lot of suffering and oppression has occurred while the long term is unfolding, and not just during Medieval times.
“It was a 100-year struggle during the Industrial Revolution for workers to get any cut of these massive productivity gains in textiles and railways,” Johnson observes. Broader progress has come through increased labor power and electoral government; when the U.S. economy grew spectacularly for three decades after World War II, gains were widely distributed, though that has not been the case recently.
“We’re suggesting we can get back onto that path of shared prosperity, reharness technology for everybody, and get productivity gains,” Johnson says. “We had all that in the postwar period. We can get it back, but not with the current form of our machine intelligence obsession. That, we think, is undermining prosperity in the U.S. and around the world.”
A call for “machine usefulness,” not “so-so automation”
What do Acemoglu and Johnson think is deficient about AI? For one thing, they believe the development of AI is too focused on mimicking human intelligence. The scholars are skeptical of the notion that AI mirrors human thinking all told — even things like the chess program AlphaZero, which they regard more as a specialized set of instructions.
Or, for instance, image recognition programs — Is that a husky or a wolf? — use large data sets of past human decisions to build predictive models. But these are often correlation-dependent (a husky is more likely to be in front of your house), and can’t replicate the same cues humans rely on. Researchers know this, of course, and keep refining their tools. But Acemoglu and Robinson contend that many AI programs are less agile than the human mind, and suboptimal replacements for it, even as AI is designed to replace human work.
Acemoglu, who has published many papers on automation and robots, calls these replacement tools “so-so technologies.” A supermarket self-checkout machine does not add meaningful economic productivity; it just transfers work to customers and wealth to shareholders. Or, among more sophisticated AI tools, for instance, a customer service line using AI that doesn’t address a given problem can frustrate people, leading them to vent once they do reach a human and making the whole process less efficient.
All told, Acemoglu and Johnson write, “neither traditional digital technologies nor AI can perform essential tasks that involve social interaction, adaptation, flexibility, and communication.”
Instead, growth-minded economists prefer technologies creating “marginal productivity” gains, which compel firms to hire more workers. Instead of aiming to eliminate medical specialists like radiologists, a much-forecast AI development that has not occurred, Acemoglu and Johnson suggest AI tools might expand what home health care workers can do, and make their services more valuable, without reducing workers in the sector.
“We think there is a fork in the road, and it’s not too late — AI is a very good opportunity to reassert machine usefulness as a philosophy of design,” Johnson says. “And to look for ways to put tools in the hands of workers, including lower-wage workers.”
Defining the discussion
Another set of AI issues Acemoglu and Johnson are concerned about extend directly into politics: Surveillance technologies, facial-recognition tools, intensive data collection, and AI-spread misinformation.
China deploys AI to create “social credit” scores for citizens, along with heavy surveillance, while tightly restricting freedom of expression. Elsewhere, social media platforms use algorithms to influence what users see; by emphasizing “engagement” above other priorities, they can spread harmful misinformation.
Indeed, throughout “Power and Progress,” Acemoglu and Johnson emphasize that the use of AI can set up self-reinforcing dynamics in which those who benefit economically can gain political influence and power at the expense of wider democratic participation.
To alter this trajectory, Acemoglu and Johnson advocate for an extensive menu of policy responses, including data ownership for internet users (an idea of technologist Jaron Lanier); tax reform that rewards employment more than automation; government support for a diversity of high-tech research directions; repealing Section 230 of the 1996 Communications Decency Act, which protects online platforms from regulation or legal action based on the content they host; and a digital advertising tax (aimed to limit the profitability of algorithm-driven misinformation).
Johnson believes people of all ideologies have incentives to support such measures: “The point we’re making is not a partisan point,” he says.
For their part, Acemoglu and Johnson want to broaden the public discussion of AI beyond industry leaders, discard notions about the AI inevitability, and think again about human agency, social priorities, and economic possibilities.
“Debates on new technology ought to center not just on the brilliance of new products and algorithms but on whether they are working for the people or against the people,” they write.
“We need these discussions,” Johnson says. “There’s nothing inherent in technology. It’s within our control. Even if you think we can’t say no to new technology, you can channel it, and get better outcomes from it, if you talk about it.”
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An AI challenge only humans can solve
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An AI challenge humans solve INDIA New England News Bollywood Business Chai With Manju Community Health India Lifestyle NECA NRIs Weddings Woman Year Thursday, May 18, 2023 Advertising Editorial Calendar Newsletter Community Calendar Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. INDIA New England News Bollywood Business Chai With Manju Community Health India Lifestyle NECA NRIs Weddings Woman Year Home Books An AI challenge humans solve Books An AI challenge humans solve By India New England News May 18, 2023 0 7 FacebookTwitterPinterestWhatsApp Simon Johnson Photo: MIT Advertisement CAMBRIDGE, Mass. The Dark Ages entirely dark. Advances agriculture building technology increased Medieval wealth led wave cathedral construction Europe. However, time profound inequality. Elites captured virtually economic gains. In Britain, Canterbury Cathedral soared upward, peasants net increase wealth 1100 1300. Life expectancy hovered 25 years. Chronic malnutrition rampant. Weve struggling share prosperity long time, says MIT Professor Simon Johnson. Every cathedral parents dragged Europe symbol despair expropriation, possible higher productivity. At glance, relevant life 2023. But Johnson MIT colleague Daron Acemoglu, economists, think is. Technology drives economic progress. As innovations hold, perpetual question is: Who benefits? This applies, scholars believe, automation artificial intelligence, focus new book Acemoglu Johnson, Power Progress: Our 1000Year Struggle Over Technology Prosperity, published week PublicAffairs. In it, examine reaped rewards past innovations gain AI today, economically politically. The book choices technology, Johnson says. Thats MIT type theme. But lot people feel technology descends you, live it. AI develop beneficial force, Johnson says. However, adds, Many algorithms designed try replace humans possible. We think thats entirely wrong. The way progress technology making machines useful people, displacing them. In past automation, new tasks people sufficient countervailing power society. Today, AI tool social control governments creates riches small number people, according Acemoglu Johnson. The current path AI good economy democracy, problems, unfortunately, reinforce other, write. A return shared prosperity? Acemoglu Johnson collaborated before; early 2000s, political scientist James Robinson, produced influential papers politics economic progress. Acemoglu, Institute Professor MIT, coauthored Robinson books Why Nations Fail 2012, political institutions growth, The Narrow Corridor 2019, casts liberty neverassured outcome social struggle. Johnson, Ronald A. Kurtz Professor Entrepreneurship MIT Sloan School Management, wrote 13 Bankers 2010, finance reform, and, MIT economist Jonathan Gruber, JumpStarting America 2019, investment scientific research. In Power Progress, authors emphasize technology created remarkable longterm benefits. As write, greatly better ancestors, scientific technological progress vital story. Still, lot suffering oppression occurred long term unfolding, Medieval times. It 100year struggle Industrial Revolution workers cut massive productivity gains textiles railways, Johnson observes. Broader progress come increased labor power electoral government; U.S. economy grew spectacularly decades World War II, gains widely distributed, case recently. Were suggesting path shared prosperity, reharness technology everybody, productivity gains, Johnson says. We postwar period. We back, current form machine intelligence obsession. That, think, undermining prosperity U.S. world. A machine usefulness, soso automation What Acemoglu Johnson think deficient AI? For thing, believe development AI focused mimicking human intelligence. The scholars skeptical notion AI mirrors human thinking told things like chess program AlphaZero, regard specialized set instructions. Or, instance, image recognition programs Is husky wolf? use large data sets past human decisions build predictive models. But correlationdependent husky likely house, replicate cues humans rely on. Researchers know this, course, refining tools. But Acemoglu Robinson contend AI programs agile human mind, suboptimal replacements it, AI designed replace human work. Acemoglu, published papers automation robots, calls replacement tools soso technologies. A supermarket selfcheckout machine add meaningful economic productivity; transfers work customers wealth shareholders. Or, sophisticated AI tools, instance, customer service line AI doesnt address given problem frustrate people, leading vent reach human making process efficient. All told, Acemoglu Johnson write, traditional digital technologies AI perform essential tasks involve social interaction, adaptation, flexibility, communication. Instead, growthminded economists prefer technologies creating marginal productivity gains, compel firms hire workers. Instead aiming eliminate medical specialists like radiologists, muchforecast AI development occurred, Acemoglu Johnson suggest AI tools expand home health care workers do, services valuable, reducing workers sector. We think fork road, late AI good opportunity reassert machine usefulness philosophy design, Johnson says. And look ways tools hands workers, including lowerwage workers. Defining discussion Another set AI issues Acemoglu Johnson concerned extend directly politics: Surveillance technologies, facialrecognition tools, intensive data collection, AIspread misinformation. China deploys AI create social credit scores citizens, heavy surveillance, tightly restricting freedom expression. Elsewhere, social media platforms use algorithms influence users see; emphasizing engagement priorities, spread harmful misinformation. Indeed, Power Progress, Acemoglu Johnson emphasize use AI set selfreinforcing dynamics benefit economically gain political influence power expense wider democratic participation. To alter trajectory, Acemoglu Johnson advocate extensive menu policy responses, including data ownership internet users idea technologist Jaron Lanier; tax reform rewards employment automation; government support diversity hightech research directions; repealing Section 230 1996 Communications Decency Act, protects online platforms regulation legal action based content host; digital advertising tax aimed limit profitability algorithmdriven misinformation. Johnson believes people ideologies incentives support measures: The point making partisan point, says. For part, Acemoglu Johnson want broaden public discussion AI industry leaders, discard notions AI inevitability, think human agency, social priorities, economic possibilities. Debates new technology ought center brilliance new products algorithms working people people, write. We need discussions, Johnson says. Theres inherent technology. Its control. Even think new technology, channel it, better outcomes it, talk it. FacebookTwitterPinterestWhatsApp Previous articleResearchers identify common herpes virus cause multiple sclerosisNext articleShield summer sun India New England News RELATED ARTICLESMORE FROM AUTHOR Books Bestselling author Amish Tripathi gets married London Books We confuse Hinduism religion, culture cluster civilisations: Author Anand Neelakantan Books Walking fog author Anuja Chauhan Books Linguistic curiosities: How languages humanitys perplexing achievement Books You dont want run life, panicking trying escape feel like thing Books IndoCanadian Sikhs book banned US schools LEAVE A REPLY Cancel reply Please enter comment Please enter You entered incorrect email address Please enter email address Save name, email, website browser time I comment. 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| 2023-01-10T00:00:00 |
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Microsoft in talks to invest $10 billion in ChatGPT owner | Technology News,The Indian Express
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HomeTechnologyMicrosoft in talks to invest $10 billion in ChatGPT owner
Microsoft in talks to invest $10 billion in ChatGPT owner
Microsoft Corp is in talks to invest $10 billion into OpenAI, the owner of ChatGPT, which will value the San Francisco-based firm at $29 billion, Semafor reported on Monday, citing people familiar with the matter.
By: Reuters
January 10, 2023 10:13 IST
The funding includes other venture firms and deal documents were sent to prospective investors in recent weeks, with the aim to close the round by the end of 2022, the report said.Microsoft Corp is in talks to invest $10 billion into OpenAI, the owner of ChatGPT, which will value the San Francisco-based firm at $29 billion, Semafor reported on Monday, citing people familiar with the matter.
The funding includes other venture firms and deal documents were sent to prospective investors in recent weeks, with the aim to close the round by the end of 2022, the report said.
Microsoft declined to comment, while OpenAI did not immediately respond to Reuters’ request for comment.
This follows a Wall Street Journal report that said OpenAI was in talks to sell existing shares at a roughly $29 billion valuation, with venture capital firms such as Thrive Capital and Founders Fund buying shares from existing shareholders.Subscriber Only StoriesView AllDelhi Confidential: BJP gives Mithun Chakraborty a new positionLast 5 years, 79% of new HC judges upper caste, SC and minority 2% eachRam Temple and Congress: A political dilemma and tightrope walkIndians abroad: History, spread, remittancesApply New Year promo code SD25
OpenAI, founded by Tesla Inc CEO Elon Musk and investor Sam Altman, made the ChatGPT chatbot available for free public testing on Nov. 30. A chatbot is a software application designed to mimic human-like conversation based on user prompts.
The Semafor report said the funding terms included Microsoft getting 75% of OpenAI’s profits until it recoups its initial investment once OpenAI figures out how to make money on ChatGPT and other products like image creation tool Dall-E.
On hitting that threshold, Microsoft would have a 49% stake in OpenAI, with other investors taking another 49% and OpenAI’s nonprofit parent getting 2%, the report said, without clarifying what the stakes would be until Microsoft got its money back.Advertisement
Microsoft, which invested $1 billion in OpenAI in 2019, was working to launch a version of its search engine Bing using the AI behind ChatGPT, the Information reported last week.
© IE Online Media Services Pvt Ltd
First published on: 10-01-2023 at 10:13 IST
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Microsoft in talks to invest $10 billion in ChatGPT owner
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Microsoft talks invest 10 billion ChatGPT owner Technology News,The Indian Express Sections for: EnglishBusiness Newsletters Tuesday, Jan 10, 2023 ePaper Todays Paper Journalism Courage HomeExplainedPolitical PulseIndiaCitiesOpinionEntertainmentLifestyleTechnologyVideosSportsAudioEducationPremium TrendingDaily CrosswordNew Year OfferHealth SpecialsMovie ReviewsDaily HoroscopeUPSC SpecialRanji Trophy HomeTechnologyMicrosoft talks invest 10 billion ChatGPT owner Microsoft talks invest 10 billion ChatGPT owner Microsoft Corp talks invest 10 billion OpenAI, owner ChatGPT, value San Franciscobased firm 29 billion, Semafor reported Monday, citing people familiar matter. By: Reuters January 10, 2023 10:13 IST The funding includes venture firms deal documents sent prospective investors recent weeks, aim close round end 2022, report said.Microsoft Corp talks invest 10 billion OpenAI, owner ChatGPT, value San Franciscobased firm 29 billion, Semafor reported Monday, citing people familiar matter. The funding includes venture firms deal documents sent prospective investors recent weeks, aim close round end 2022, report said. Microsoft declined comment, OpenAI immediately respond Reuters request comment. This follows Wall Street Journal report said OpenAI talks sell existing shares roughly 29 billion valuation, venture capital firms Thrive Capital Founders Fund buying shares existing shareholders.r Only StoriesView AllDelhi Confidential: BJP gives Mithun Chakraborty new positionLast 5 years, 79 new HC judges upper caste, SC minority 2 eachRam Temple Congress: A political dilemma tightrope walkIndians abroad: History, spread, remittancesApply New Year promo code SD25 OpenAI, founded Tesla CEO Elon Musk investor Sam Altman, ChatGPT chatbot available free public testing Nov. 30. A chatbot software application designed mimic humanlike conversation based user prompts. The Semafor report said funding terms included Microsoft getting 75 OpenAIs profits recoups initial investment OpenAI figures money ChatGPT products like image creation tool DallE. On hitting threshold, Microsoft 49 stake OpenAI, investors taking 49 OpenAIs nonprofit parent getting 2, report said, clarifying stakes Microsoft got money back.Advertisement Microsoft, invested 1 billion OpenAI 2019, working launch version search engine Bing AI ChatGPT, Information reported week. IE Online Media Services Pvt Ltd First published on: 10012023 10:13 IST Next StoryRupee gains 18 paise 82.17 US dollar Tags: ChatGPT microsoft New Year Sale Extra 25 Indian Express AllAccess subscription package Buy Now Latest Comment Post Comment Read Comments AdvertisementMore TechApple plans drop key Broadcom chip use inhouse designAI replace people productive, need humans: Writesonic founderTechnologyTwo Apple Stores weeks: Apple readies big retail push IndiaChatGPT write phishing emails, malicious codeAdvertisementPhotosLunar Eclipse 2022 images: Pictures total lunar eclipse years Photos: NASA SpaceXs historic Crew5 launch International Space StationAtmanirbharta lips, PM Modi launches 5G services IndiaNokia 8210 4G, Nokia 2660 Flip: Check latest Nokia retro phonesOnePlus 10T 5G: Check latest flagship phone OnePlusBest ExpressEC bringing parity age voting contesting pollsLast 5 years, 79 new HC judges upper caste, SC minority 2 eachEntertainmentJohnny Lever says insecure stars axe scenes, reveals doesnt work now: Comedy goneEntertainmentAnnoyed Ranbir Kapoor tells Neetu Kapoor, Mumma, bas gets finicky photoshootTrendingMan sits precariously perched narrow strip scaffolding, netizens demand action contractorTrendingMan attempts eat bowl ramen noodles extreme cold. 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] | 1 | 196,955 |
https://insidehpc.com/2023/03/cerebras-databricks-stoke-generative-ai-arena-with-open-source-llms/
| 2023-03-29T00:00:00 |
en
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Cerebras, Databricks Stoke Generative AI Arena with Open Source LLMs - High-Performance Computing News Analysis | insideHPC
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Cerebras, Databricks Stoke Generative AI Arena with Open Source LLMs - High-Performance Computing News Analysis | insideHPC
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Leave this field empty if you're human: Home » Featured » Cerebras, Databricks Stoke Generative AI Arena with Open Source LLMsCerebras, Databricks Stoke Generative AI Arena with Open Source LLMs
March 28, 2023 by Doug Black Leave a Comment In few other areas of the global economy are the rounds of creative destruction more rapid and more intense than the HPC-AI sector. We see this today with the generative AI sensation: OpenAI’s launch of ChatGPT in November has created a firestorm of competitive responses.
At least two companies – Cerebras, maker of the dinner-plate sized Wafer Scale Engine processing unit, and big data “lakehouse” software company Databricks – have both announced open sourced large language models that they say require relatively fewer parameters and generate ChatGPT-like performance at lower cost.
Starting with Cerebras, the company announced today it is releasing (on Hugging Face and GitHub) a series of seven GPT-based LLMs for open source use by the research community.
“This is the first time a company has used non-GPU based AI systems to train LLMs up to 13 billion parameters and is sharing the models, weights, and training recipe via the industry standard Apache 2.0 license,” Cerebras said, adding that all seven models were trained on the 16 CS-2 systems in the Cerebras Andromeda AI supercomputer.
Andromeda is a Cerebras wafer-scale cluster for AI with 13.5 million cores that delivers more than 1 exaFLOP of AI compute and 120 petaFLOPS of dense compute, according to the company.
In what Cerebras said is a first among AI hardware companies, researchers at the company used the Andromeda supercomputer to train a series of seven GPT models with 111M, 256M, 590M, 1.3B, 2.7B, 6.7B, and 13B parameters.
Cerebras said this is typically a multi-month undertaking that was completed in a few weeks, which the company attributed to Cerebras CS-2 systems within Andromeda and the ability of Cerebras’ weight streaming architecture to eliminate the complexity of distributed compute across smaller processing units.
Cerebras CEO and co-founder Andrew Feldman told us the Wafer Scale Engine is a key distinction from OpenAI compute layer, which uses thousands of GPUs. Additionally, the GPT-3 LLM has 175 billion parameters (OpenAI is not disclosing the number of parameters in the recently announced GPT-4) whereas the largest of the GPT models offered by Cerebras has 13 billion parameters. More parameters and more processors, Feldman said, means training and inferencing for Chat-GPT has to be distributed across the GPUs, a time-consuming and labor intensive task.
But the Wafer-Scale Engine’s size means Cerebras doesn’t needs to distribute calculations over multiple CS-2s, Feldman explained. “The reason you do distributed work is because your individual unit, the GPU, isn’t big enough to do the work itself,” he said. “Because we have a Wafer Scale Engine, we don’t need to break up the work.”
“Few organizations are capable of training truly large-scale models. Even fewer have done so on dedicated AI hardware,” said Sean Lie, co-founder and chief software architect at Cerebras. “Releasing seven fully trained GPT models into the open-source community shows just how efficient clusters of Cerebras CS-2 systems can be and how they can rapidly solve the largest scale AI problems – problems that typically require hundreds or thousands of GPUs.”
On open sourcing, Cerebras said other companies have stopped released their models to the public as the cost and complexity of LLM development grows.
“By releasing seven GPT models, Cerebras not only demonstrates the power of its CS-2 systems and Andromeda supercomputer as being amongst the premier training platforms, but elevates Cerebras researchers to the upper echelon of AI practitioners,” said Karl Freund, founder and principal analyst, Cambrian AI. “There are a handful of companies in the world capable of deploying end-to-end AI training infrastructure and training the largest of LLMs to state-of-the-art accuracy. Cerebras must now be counted among them. Moreover, by releasing these models into the open-source community with the permissive Apache 2.0 license, Cerebras shows commitment to ensuring that AI remains an open technology that broadly benefits humanity.”
Meanwhile, late last week Databricks introduced Dolly, which the company described as a cheap-to-build LLM (that utilizes instruction-following techniques found in OpenAI’s models) that works by modifying an existing, open source model from EleutherAI with 6 billion parameters.
The company said it has open sourced a Databricks notebook for building Dolly on Databricks.
“We show that anyone can take a dated, off-the-shelf open source large language model and give it magical ChatGPT-like instruction-following ability by training it in 30 minutes on one machine, using high-quality training data,” Databricks said in a blog entitled “Hello Dolly: Democratizing the Magic of ChatGPT with Open Models.”
The Databricks bloggers said they were surprised that instruction-following does not seem to require the latest or largest models, noting that their model is only 6 billion parameters, compared to 175 billion for GPT-3.
“We evaluated Dolly on the instruction-following capabilities described in the InstructGPT paper that ChatGPT is based on and found that it exhibits many of the same qualitative capabilities, including text generation, brainstorming and open Q&A,” Databricks said. “Of particular note in these examples is not the quality of the generated text, but rather the vast improvement in instruction-following capability that results from fine tuning a years-old open source model on a small, high quality dataset.”
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Cerebras, Databricks Stoke Generative AI Arena with Open Source LLMs
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Cerebras, Databricks Stoke Generative AI Arena Open Source LLMs HighPerformance Computing News Analysis insideHPC About Advertise : News Business HPC New Installations HPC Hardware Quantum Computing Exascale Future Technology Compute Coprocessors GPUs Storage Network Green HPC HPC Software Cloud HPC Machine Learning Tools Systems Management Visualization High Performance Analytics Lustre Parallel Programming Industry Segments Enterprise HPC Government Research Education Manufacturing Collaboration Datacenter White Papers Resources Dell Technologies Spotlight Education Training Events Events Calendar HPC Career Notes Jobs Board Research Reports Industry Perspectives Rock Stars HPC The Exascale Report Archives Special Reports Podcasts Videos Videos Other Podcasts Jobs HPC Sign newsletter latest big data news analysis. Daily Weekly Leave field youre human: Home Featured Cerebras, Databricks Stoke Generative AI Arena Open Source LLMsCerebras, Databricks Stoke Generative AI Arena Open Source LLMs March 28, 2023 Doug Black Leave Comment In areas global economy rounds creative destruction rapid intense HPCAI sector. We today generative AI sensation: OpenAIs launch ChatGPT November created firestorm competitive responses. At companies Cerebras, maker dinnerplate sized Wafer Scale Engine processing unit, big data lakehouse software company Databricks announced open sourced large language models require relatively fewer parameters generate ChatGPTlike performance lower cost. Starting Cerebras, company announced today releasing Hugging Face GitHub series seven GPTbased LLMs open source use research community. This time company nonGPU based AI systems train LLMs 13 billion parameters sharing models, weights, training recipe industry standard Apache 2.0 license, Cerebras said, adding seven models trained 16 CS2 systems Cerebras Andromeda AI supercomputer. Andromeda Cerebras waferscale cluster AI 13.5 million cores delivers 1 exaFLOP AI compute 120 petaFLOPS dense compute, according company. In Cerebras said AI hardware companies, researchers company Andromeda supercomputer train series seven GPT models 111M, 256M, 590M, 1.3B, 2.7B, 6.7B, 13B parameters. Cerebras said typically multimonth undertaking completed weeks, company attributed Cerebras CS2 systems Andromeda ability Cerebras weight streaming architecture eliminate complexity distributed compute smaller processing units. Cerebras CEO cofounder Andrew Feldman told Wafer Scale Engine key distinction OpenAI compute layer, uses thousands GPUs. Additionally, GPT3 LLM 175 billion parameters OpenAI disclosing number parameters recently announced GPT4 largest GPT models offered Cerebras 13 billion parameters. More parameters processors, Feldman said, means training inferencing ChatGPT distributed GPUs, timeconsuming labor intensive task. But WaferScale Engines size means Cerebras doesnt needs distribute calculations multiple CS2s, Feldman explained.The reason distributed work individual unit, GPU, isnt big work itself, said. Because Wafer Scale Engine, dont need break work. Few organizations capable training truly largescale models. Even fewer dedicated AI hardware, said Sean Lie, cofounder chief software architect Cerebras. Releasing seven fully trained GPT models opensource community shows efficient clusters Cerebras CS2 systems rapidly solve largest scale AI problems problems typically require hundreds thousands GPUs. On open sourcing, Cerebras said companies stopped released models public cost complexity LLM development grows. By releasing seven GPT models, Cerebras demonstrates power CS2 systems Andromeda supercomputer premier training platforms, elevates Cerebras researchers upper echelon AI practitioners, said Karl Freund, founder principal analyst, Cambrian AI. There handful companies world capable deploying endtoend AI training infrastructure training largest LLMs stateoftheart accuracy. Cerebras counted them. Moreover, releasing models opensource community permissive Apache 2.0 license, Cerebras shows commitment ensuring AI remains open technology broadly benefits humanity. Meanwhile, late week Databricks introduced Dolly, company described cheaptobuild LLM utilizes instructionfollowing techniques OpenAIs models works modifying existing, open source model EleutherAI 6 billion parameters. The company said open sourced aDatabricks notebookfor building Dolly Databricks. We dated, offtheshelf open source large language model magical ChatGPTlike instructionfollowing ability training 30 minutes machine, highquality training data, Databricks said blog entitled Hello Dolly: Democratizing Magic ChatGPT Open Models. The Databricks bloggers said surprised instructionfollowing require latest largest models, noting model 6 billion parameters, compared 175 billion GPT3. We evaluated Dolly instructionfollowing capabilities described InstructGPT paper ChatGPT based exhibits qualitative capabilities, including text generation, brainstorming open QA, Databricks said. Of particular note examples quality generated text, vast improvement instructionfollowing capability results fine tuning yearsold open source model small, high quality dataset. tweet shareshare share email Related Posts Filed Under: Business HPC, Enterprise HPC, Featured, Google News Feed, GPUs, HPC Hardware, HPC Software, Machine Learning, News Tagged With: AI, Cerebras, ChatGPT, Databricks, generative AI, GPT, hpc, HPCAI, LLM Leave Comment Cancel replyName Email Website Notify followup comments email. Notify new posts email. Resource Links: Industry Perspectives insideHPC Launch insideHPC association technology analyst firm today announced launch featuring analyst Shahin Khan Doug Black, insideHPCs editorinchief. intended lively informative forum examining key technology trends driving high performance computing artificial intelligence. Each podcast feature Khan Blacks comments latest HPC news deeper dive focused topic. In episode, talk recent spate good news Intel taking hottest areas advanced computing arena: new HPCAI chips. You insideHPC Twitter. Heres RSS feed: We welcome suggestions [READ MORE] White Papers The Graphcore Second Generation IPU Our friends Graphcore, U.K.based startup launched Intelligence Processing Unit IPU AI acceleration 2018, released new whitepaper introducing IPUMachine. This secondgeneration platform greater processing power, memory builtin scalability handling extremely large parallel processing workloads. This paper explores new platform assess strengths weaknesses compared growing cadre potential competitors. Download See More White Papers Find on: Featured Job HPC Software EngineerChevronHoustonLearn More Other JobsHPC Systems AdministratorScientific Software Developers D. E. Shaw ResearchSoftware Developers Drug DiscoverySee Jobs Post Job 2023 About insideHPC Advertise insideHPC Visit Our Other Site insideBIGDATA Service Terms Return 2023 News Theme Inside HPC Genesis Framework WordPress Log
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https://investorplace.com/2023/07/3-penny-stocks-that-ai-is-loving-in-july/
| 2023-07-21T00:00:00 |
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3 Penny Stocks That AI Is Loving in July | InvestorPlace
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3 Penny Stocks That AI Is Loving in July | InvestorPlace
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New AI Development Will Blindside Millions. Will You Be One of Them?
On July 27 at 7 pm ET, Louis Navellier, Eric Fry and Luke Lango will reveal a major AI development that will cause a massive disruption to the stock market. Will your money be safe?
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Home / Expert Stock Picks / Stocks to Buy / 3 Penny Stocks That AI Is Loving in July
SPECIAL REPORT
5 Artificial Intelligence Stocks to Buy Before They Skyrocket
3 Penny Stocks That AI Is Loving in July
These penny stocks may be worth adding to your portfolio this month
July 21, 2023
By
Matthew Farley, InvestorPlace Contributor
Jul 21, 2023, 11:46 am EDT
July 21, 2023
Advertisement
These penny stocks have value catalysts ahead of them.Applied Digital Corporation (APLD): The developer of next-generation data centers has a solid momentum play with improving fundamentals.SoundHound AI (SOUN): The SaaS company owns good momentum in the data centre space.WeTrade Group (WETG): This risky penny stock secured a big contract which may or may not have been a good move.Investigate wisely if you are considering adding these, or any, penny stocks.
Source: Shutterstock
Are you on the hunt for the next big investment opportunity? For this month, I used ChatGPT with the Webpilot extension to find the best July penny stocks to buy. AI can be an excellent tool for sorting thru the trash, and I think I found some potential winners here.
These companies were recommended as July penny stocks for the high potential returns. Each company also has a unique value catalyst that could be unlocked. If you can balance the risk to reward with these companies, they may be valuable additions to your portfolio.
So stay tuned as we uncover the best July penny stocks that may deliver great returns.
Applied Digital Corporation (APLD)
Source: carlos castilla/Shutterstock
Applied Digital Corporation (NASDAQ:APLD) is one of those July penny stocks worth considering. It develops and operates data centers in the U.S.
Here’s what ChatGPT had to say about it.
“The company has been showing promising growth, with a sequential revenue growth of 78% reported in the fiscal second quarter of 2023. Despite a financial year loss, the company’s recent performance in the stock market has been strong, with shares closing at $8.44, marking a +1.81% move from the previous day. This suggests that Applied Digital Corporation could be a potential investment opportunity for those interested in the tech sector.”
This penny stock is indeed an excellent momentum play. It’s up 320% year to date and 264% over the past year. Analysts think there’s more upside to be had, too, since its price target is $13.50.
The rally for APLD stock comes amid securing a major $460 million contract last month, as reported by The Motley Fool. Revenue will be realized over three years for its AI cloud service platform, which significantly boosted its valuation and future expectations.
SoundHound AI (SOUN)
Source: Tada Images / Shutterstock.com
SoundHound AI (NASDAQ:SOUN) is another great pick. It operates an advanced voice AI platform with a range of applications. Notably, it allows users to talk to it, much like Alexa or Siri, and then delivers the user’s results. It has some practical uses in call centers and customer service.
ChatGPT weighed in with the following:
“The company is expected to be a significant player in the automotive AI space, which could translate into meaningful profits. Despite a surprise in Q4 earnings that led to a slide in stock prices, the company has shown strong revenue growth and has secured new financing to strengthen its balance sheet. SoundHound AI also projects profitability within 2023 based on strong expected revenue growth and targeted cost reductions. This suggests that SoundHound AI could be a promising investment for those interested in the AI and voice technology sector.”
Investors should be aware of one caveat to its success. According to the Motley Fool, the company operates with negative operating profits and cash flows, often relying on dilutive stock offerings for funding. Still, it’s another great momentum play for anyone interested in AI penny stocks.
WeTrade Group (WETG)
Source: TierneyMJ / Shutterstock.com
WeTrade Group (NASDAQ:WETG) is a SaaS stock providing technical support and digital transformation tools for enterprises across different industries.
ChatGPT said:
“WeTrade Group has recently entered into a $120M technical agency agreement with Vmade Tech for launching the operation of the company’s WTPay platform. This move could potentially lead to significant growth for the company. However, it’s worth noting that WeTrade Group has been notified of non-compliance with Nasdaq’s requirements for continued listing due to failure to meet certain criteria. This suggests that while there could be potential for growth, significant risks are also involved. As always, potential investors should conduct their own thorough research and consider their risk tolerance before making any investment decisions.”
The potential delisting comes amid the company unable to file its annual report form 10-K for December 2022 “without unreasonable effort or expense”.
Another risk factor is that its revenue dropped 19% year over year and reported a net loss of 277% from the same period. This makes WETG stock particularly risky, but there could still be some upside if it manages to turn its fortunes around.
On the date of publication, Matthew Farley did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.
Matthew started writing coverage of the financial markets during the crypto boom of 2017 and was also a team member of several fintech startups. He then started writing about Australian and U.S. equities for various publications. His work has appeared in MarketBeat, FXStreet, Cryptoslate, Seeking Alpha, and the New Scientist magazine, among others.
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3 Penny Stocks That AI Is Loving in July
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3 Penny Stocks That AI Is Loving July InvestorPlace Skip content DOW Nasdaq SP Primary Menu Our Analysts Free Reports Newsletters Free Reports Log My Account My Services Support Log Todays Market Stocks Stock Picks Hot Stocks Stocks Buy Stocks Sell Stock Quotes All Stock Picks Stock Types BlueChip Stocks Dividend Stocks Growth Stocks Meme Stocks Penny Stocks Undervalued Stocks Industries Consumer Discretionary Consumer Staples Energy Healthcare Technology More Industries Crypto Market Analysis Retirement About InvestorPlace About InvestorPlace Publishing Guidelines Us Premium Services symbol, company name, keywords Close Menu Log Log My Services Support Our Analysts Free Reports Newsletters Free Reports New AI Development Will Blindside Millions. Will You Be One Them? On July 27 7 pm ET, Louis Navellier, Eric Fry Luke Lango reveal major AI development cause massive disruption stock market. Will money safe? Thu, July 27 7:00PM ET Days Hours Minutes Seconds Sign Up Now Home Expert Stock Picks Stocks Buy 3 Penny Stocks That AI Is Loving July SPECIAL REPORT 5 Artificial Intelligence Stocks Buy Before They Skyrocket 3 Penny Stocks That AI Is Loving July These penny stocks worth adding portfolio month July 21, 2023 By Matthew Farley, InvestorPlace Contributor Jul 21, 2023, 11:46 EDT July 21, 2023 Advertisement These penny stocks value catalysts ahead them.Applied Digital CorporationAPLD: The developer nextgeneration data centers solid momentum play improving fundamentals.SoundHound AISOUN: The SaaS company owns good momentum data centre space.WeTrade GroupWETG: This risky penny stock secured big contract good move.Investigate wisely considering adding these, any, penny stocks. Source: Shutterstock Are hunt big investment opportunity? For month, I ChatGPT Webpilot extension best July penny stocks buy. AI excellent tool sorting trash, I think I potential winners here. These companies recommended July penny stocks high potential returns. Each company unique value catalyst unlocked. If balance risk reward companies, valuable additions portfolio. So stay tuned uncover best July penny stocks deliver great returns. Applied Digital Corporation APLD Source: carlos castillaShutterstock Applied Digital Corporation NASDAQ:APLD July penny stocks worth considering. It develops operates data centers U.S. Heres ChatGPT it. The company showing promising growth, sequential revenue growth 78 reported fiscal second quarter 2023. Despite financial year loss, companys recent performance stock market strong, shares closing 8.44, marking 1.81 previous day. This suggests Applied Digital Corporation potential investment opportunity interested tech sector. This penny stock excellent momentum play. Its 320 year date 264 past year. Analysts think theres upside had, too, price target 13.50. The rally APLD stock comes amid securing major 460 million contract month, reported The Motley Fool. Revenue realized years AI cloud service platform, significantly boosted valuation future expectations. SoundHound AI SOUN Source: Tada Images SoundHound AI NASDAQ:SOUN great pick. It operates advanced voice AI platform range applications. Notably, allows users talk it, like Alexa Siri, delivers users results. It practical uses centers customer service. ChatGPT weighed following: The company expected significant player automotive AI space, translate meaningful profits. Despite surprise Q4 earnings led slide stock prices, company shown strong revenue growth secured new financing strengthen balance sheet. SoundHound AI projects profitability 2023 based strong expected revenue growth targeted cost reductions. This suggests SoundHound AI promising investment interested AI voice technology sector. Investors aware caveat success. According Motley Fool, company operates negative operating profits cash flows, relying dilutive stock offerings funding. Still, great momentum play interested AI penny stocks. WeTrade Group WETG Source: TierneyMJ WeTrade GroupNASDAQ:WETG SaaS stock providing technical support digital transformation tools enterprises different industries. ChatGPT said: WeTrade Group recently entered 120M technical agency agreement Vmade Tech launching operation companys WTPay platform. This potentially lead significant growth company. However, worth noting WeTrade Group notified noncompliance Nasdaqs requirements continued listing failure meet certain criteria. This suggests potential growth, significant risks involved. As always, potential investors conduct thorough research consider risk tolerance making investment decisions. The potential delisting comes amid company unable file annual report form 10K December 2022 unreasonable effort expense. Another risk factor revenue dropped 19 year year reported net loss 277 period. This makes WETG stock particularly risky, upside manages turn fortunes around. On date publication, Matthew Farley directly indirectly positions securities mentioned article. The opinions expressed writer, subject Publishing Guidelines. Matthew started writing coverage financial markets crypto boom 2017 team member fintech startups. He started writing Australian U.S. equities publications. His work appeared MarketBeat, FXStreet, Cryptoslate, Seeking Alpha, New Scientist magazine, others. Penny Stocks Submit Article printed InvestorPlace Media, 2023 InvestorPlace Media, LLC Sponsored Headlines More InvestorPlace Hot Stocks Is SOFI Stock Overvalued Underrated? Heres My Take. By Louis Navellier InvestorPlace Research Staff Jul 21, 2023 Market Analysis An Economic Hurricane On Way By Jeff Remsburg Jul 20, 2023 Market Analysis NFLX TSLA Earnings: Our 10 Major Takeaways By Luke Lango Jul 20, 2023 ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT About InvestorPlace Us Help Careers Advertise With Us Disclosures Disclaimers Terms Use Ad Choices Do Not Sell My Personal Information Preferences DMCA Policy Financial Market Data powered FinancialContent Services, . . Nasdaq quotes delayed 15 minutes, 20 minutes. 2023 InvestorPlace Media, LLC. . 1125 N. Charles St, Baltimore, MD 21201. Close login modal r Sign Email Address Username Password Sign Having trouble logging in? Not Yet Premium r? Close Ad ExpandCollapse DOE Close DOE Your Email
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| 2023-01-20T00:00:00 |
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AWS Data Engineer (Expert) – Gauteng Midrand
Jan 19, 2023
Our client, leaders in the Automotive space has a long-term contract opportunity for an Expert AWS Data Engineer. This position is based in the Gauteng region with a hybrid approach being on-site and remote.
ESSENTIAL SKILLS REQUIREMENTS:
Above average experience/understanding (in order of importance):
Terraform
Python 3x
SQL – Oracle/PostgreSQL
Py Spark
Boto3
ETL
Docker
Linux / Unix
Big Data
Powershell / Bash
BMW Cloud Data Hub (CDH)
BMW CDEC Blueprint
Basic experience/understanding of AWS Components (in order of importance):
Glue
CloudWatch
SNS
Athena
S3
Kinesis Streams (Kinesis, Kinesis Firehose)
Lambda
DynamoDB
Step Function
Param Store
Secrets Manager
Code Build/Pipeline
CloudFormation
Business Intelligence (BI) Experience
Technical data modelling and schema design (“not drag and drop”)
Kafka
AWS EMR
Redshift
Experience in working with Enterprise Collaboration tools such as Confluence, JIRA etc.
Experience developing technical documentation and artefacts.
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc.
Experience working with Data Quality Tools such as Great Expectations.
Experience developing and working with REST API’s is a bonus.
Basic experience in Networking and troubleshooting network issues.
Knowledge of the Agile Working Model.
Don’t waste time apply now!
Desired Skills:
Terraform
Python 3x
SQL – Oracle/PostgreSQL
Py Spark
Boto3
ETL
Docker
Linux / Unix
Big Data
Powershell / Bash
BMW Cloud Data Hub (CDH)
Glue
SNS
Athena
S3
Kinesis Streams (Kinesis
Kinesis Firehose)
Lambda
DynamoDB
Step Function
Param Store
Secrets Manager
Code Build/Pipeline
CloudFormation
Business Intelligence (BI) Experience
Kafka
AWS EMR
Redshift
Jira
Parquet
AVRO
JSON
XML
CSV
REST API’s
Agile
Learn more/Apply for this position
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AWS Data Engineer (Expert)
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AWS Data Engineer Expert Gauteng Midrand ITOnline Home Business IT Channelwise Africa Company News Industry Areas IT Education IT Consumables IT Financial Services IT Government IT Health IT Manufacturing IT Retail IT Sport Technology Areas Cloud Computing Application Development Application Software Business Intelligence Cloud Resources Compliance Centres Digital Lifestyle Document Management ECommerce Enterprise Business Enterprise Mobility Gaming HR Payroll IT Service Management Lifecycle Management Linux Open Source Mobile Computing Office Equipment Peripheral Reviews Personal Computers Power Cooling Research Risk Management Security Servers Service Oriented Architecture Storage Supply Chain Management Telecommunications Unified Comms Virtualisation Visual Instruments Mobile Lifestyle Hub Select Page AWS Data Engineer Expert Gauteng Midrand Jan 19, 2023 Our client, leaders Automotive space longterm contract opportunity Expert AWS Data Engineer. This position based Gauteng region hybrid approach onsite remote. ESSENTIAL SKILLS REQUIREMENTS: Above average experienceunderstanding order importance: Terraform Python 3x SQL OraclePostgreSQL Py Spark Boto3 ETL Docker Linux Unix Big Data Powershell Bash BMW Cloud Data Hub CDH BMW CDEC Blueprint Basic experienceunderstanding AWS Components order importance: Glue CloudWatch SNS Athena S3 Kinesis Streams Kinesis, Kinesis Firehose Lambda DynamoDB Step Function Param Store Secrets Manager Code BuildPipeline CloudFormation Business Intelligence BI Experience Technical data modelling schema design drag drop Kafka AWS EMR Redshift Experience working Enterprise Collaboration tools Confluence, JIRA etc. Experience developing technical documentation artefacts. Knowledge data formats Parquet, AVRO, JSON, XML, CSV etc. Experience working Data Quality Tools Great Expectations. Experience developing working REST APIs bonus. Basic experience Networking troubleshooting network issues. Knowledge Agile Working Model. Dont waste time apply Desired Skills: Terraform Python 3x SQL OraclePostgreSQL Py Spark Boto3 ETL Docker Linux Unix Big Data Powershell Bash BMW Cloud Data Hub CDH Glue SNS Athena S3 Kinesis Streams Kinesis Kinesis Firehose Lambda DynamoDB Step Function Param Store Secrets Manager Code BuildPipeline CloudFormation Business Intelligence BI Experience Kafka AWS EMR Redshift Jira Parquet AVRO JSON XML CSV REST APIs Agile Learn moreApply position Related Submit Comment Cancel replyYour email address published. Required fields marked Comment Name Email Website Notify followup comments email. Notify new posts email. Home Business IT Channelwise Facebook Twitter Designed Elegant Themes Powered WordPress
| 2,023 |
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https://japannews.yomiuri.co.jp/society/general-news/20230714-122710/
| 2023-07-14T00:00:00 |
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PM Kishida: G7 Expected to Discuss Generative AI in Online Autumn Summit - The Japan News
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PM Kishida: G7 Expected to Discuss Generative AI in Online Autumn Summit - The Japan News
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Home>SOCIETY>GENERAL NEWS
GENERAL NEWS
PM Kishida: G7 Expected to Discuss Generative AI in Online Autumn Summit
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Reuters Prime Minister Fumio Kishida attends a press conference during an EU-Japan summit in Brussels on Thursday.
By Hirotaka Kuriyama / Yomiuri Shimbun Staff Writer
13:31 JST, July 14, 2023
BRUSSELS — Leaders of the Group of Seven advanced nations will likely hold an online summit meeting to discuss generative artificial intelligence as early as this autumn, Prime Minister Fumio Kishida has said.
Speaking at a joint press conference with European Union leaders after their meeting in Belgium on Thursday, Kishida said the rapid development and spread of generative AI is an important issue.
He emphasized that Japan, as chair of the G7 this year, will lead international discussions through the Hiroshima AI Process to discuss generative AI among G7 nations.
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PM Kishida: G7 Expected to Discuss Generative AI in Online Autumn Summit
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By Hirotaka Kuriyama Yomiuri Shimbun Staff Writer 13:31 JST,July 14, 2023 BRUSSELS Leaders Group Seven advanced nations likely hold online summit meeting discuss generative artificial intelligence early autumn, Prime Minister Fumio Kishida said. Speaking joint press conference European Union leaders meeting Belgium Thursday, Kishida said rapid development spread generative AI important issue. He emphasized Japan, chair G7 year, lead international discussions Hiroshima AI Process discuss generative AI G7 nations. Latest Articles Lack Staff Could Hinder Efforts rease Visitors Japan Alliance Leaders Demonstrate Determination Protect Ukraine Kyary Pamyu Pamyu Tackles English Language In Childrens TV Show Investors May Exit Consumer Goods Firms EU Tree Law Popular Articles China Quietly Shutting Out Foreign Makers IT Equipment COVID19 Infections Spreading Fast Japans Okinawa Pref. Update 1 TV Personality Ryuchell Found Dead Suspected Suicid... 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https://japantoday.com/category/tech/yokosuka-becomes-1st-local-gov%27t-in-japan-to-begin-chatgpt-trial-use
| 2023-04-20T00:00:00 |
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Yokosuka becomes 1st local gov't in Japan to begin ChatGPT trial use - Japan Today
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Yokosuka becomes 1st local gov't in Japan to begin ChatGPT trial use - Japan Today
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Yokosuka becomes 1st local gov't in Japan to begin ChatGPT trial use
Today
05:25 am JST
Today | 06:52 am JST
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YOKOSUKA
The city of Yokosuka on Thursday became the first local government in Japan to start trial use of artificial intelligence chatbot ChatGPT across all of its offices, hoping to improve efficiency.
Officials in Yokosuka, Kanagawa Prefecture say confidential data will be excluded and that entered data will not be used for training ChatGPT.
In the one-month trial, Yokosuka will use ChatGPT to make bulletins, summarize records of meetings, edit documents for typographical errors, solicit proposals for new projects and gain advise for its policies, the officials said.
"It is one of the tools we can use as we think about what a municipal government can do to help residents lead happier lives," Yokosuka Mayor Katsuaki Kamiji said.
City officials will enter questions or instructions in LoGoChat, a chat tool already introduced for local governments and connected with ChatGPT for the trial.
The city will officially adopt the generative AI if the trial proves its usefulness and effectiveness in improving municipal operations, the officials said.
Chatbots are software applications trained using massive amounts of data from the internet, enabling them to process and simulate human-like conversations with users.
The central government's ministries and agencies are also considering using ChatGPT for purposes including helping generate responses to lawmakers' questions in parliamentary sessions. The Ministry of Agriculture, Forestry and Fisheries is eying trial use possibly later this month.
"We want to use various kinds of AI to promote reforms in work practices" at central government offices and agencies, Digital Minister Taro Kono said earlier.
Takeaki Matsumoto, minister of internal affairs and communications, said Thursday at a Diet committee that his ministry intends to use ChatGPT on a trial basis for part of its operations while taking note of the importance of appropriately handling confidential information.
"It is important to consider appropriate rules (for the usage) rather than stopping the usage altogether due to its challenges," he said.
ChatGPT, launched in November 2022 by U.S. venture OpenAI as a prototype, stands for Chat Generative Pre-trained Transformer and is driven by a machine learning model that works much like the human brain.
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Yokosuka becomes 1st local gov't in Japan to begin ChatGPT trial use
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Yokosuka 1st local govt Japan begin ChatGPT trial use Japan Today News Real estate Hotels Classifieds Travel Study Jobs Health Newsletter Signup Japan Today National Crime Entertainment Politics Business Tech Sports World Features Home National Crime Entertainment Politics Business Tech Sports World Features Lifestyle Environment New Products Health Food Travel Kuchikomi When They Opened Japan Japan Yesterday Opinions Events Executive Impact Special Promotion Podcasts Recent Comments Popular Appearance JapanToday Gleams Akihabara 703 2816 HigashiKanda Chiyodaku Tokyo 1010031 Japan Tel: 81 3 5829 5900 Fax: 81 3 5829 5919 Email: editor 2023 GPlusMedia . tech Yokosuka 1st local govt Japan begin ChatGPT trial use Today 05:25 JST Today 06:52 JST 0 Comments YOKOSUKA The city Yokosuka Thursday local government Japan start trial use artificial intelligence chatbot ChatGPT offices, hoping improve efficiency. Officials Yokosuka, Kanagawa Prefecture confidential data excluded entered data training ChatGPT. In onemonth trial, Yokosuka use ChatGPT bulletins, summarize records meetings, edit documents typographical errors, solicit proposals new projects gain advise policies, officials said. It tools use think municipal government help residents lead happier lives, Yokosuka Mayor Katsuaki Kamiji said. City officials enter questions instructions LoGoChat, chat tool introduced local governments connected ChatGPT trial. The city officially adopt generative AI trial proves usefulness effectiveness improving municipal operations, officials said. Chatbots software applications trained massive amounts data internet, enabling process simulate humanlike conversations users. The central governments ministries agencies considering ChatGPT purposes including helping generate responses lawmakers questions parliamentary sessions. The Ministry Agriculture, Forestry Fisheries eying trial use possibly later month. We want use kinds AI promote reforms work practices central government offices agencies, Digital Minister Taro Kono said earlier. Takeaki Matsumoto, minister internal affairs communications, said Thursday Diet committee ministry intends use ChatGPT trial basis operations taking note importance appropriately handling confidential information. It important consider appropriate rules usage stopping usage altogether challenges, said. ChatGPT, launched November 2022 U.S. venture OpenAI prototype, stands Chat Generative Pretrained Transformer driven machine learning model works like human brain. KYODO 2023 GPlusMedia . Let Your Bank Support Your Life Japan Suruga bank provides variety services including onlinebank accounts loans, speciallytailoredto foreign customers living Japan. Learn More Japan Switch Shinjuku School We Offer Most Affordable Japanese Lessons In Tokyo Learn More Sort Oldest Latest Popular No Comment comment leave comment Facebook users Use Facebook account login register JapanToday. By so, receive email inviting receive news alerts. Facebook Connect JapanToday account Remember Me Forgot password? User registration A Cash Debit Card Open account online today receive 1,000 bonus 500 meeting additional requirements. No annual fee required Learn More Teach English Japan Join leaders English Education Children Japan Apply Now Tech Apr. 20 06:00 JST Apr. 20 06:48 JST 19 Comments Monetizing hate: Unease misinformation swirls Twitter Apr. 20 05:00 pm JST Apr. 20 05:00 pm JST 15 Comments G7 digital chiefs research, governance AI Gunma meeting Apr. 20 03:41 JST Apr. 20 06:49 JST 5 Comments Are Facebook user? You settlement cash View Popular Fox News, Dominion reach settlement false election claims 88 Comments Putin, Zelenskyy rally troops war poised new phase 66 Comments Japan brace large 9th COVID wave: experts 51 Comments Japan launch new visa track skilled foreigners 92 Comments Speaker McCarthy unveils 1.5 tril debt 51 Comments View Articles, Offers Useful Resources A mix whats trending sites Tech Why Isnt Japan Tech Savvy It Should Be? GaijinPot Blog National Crime Entertainment Politics Business Tech Sports World Features Lifestyle Environment New Products Health Food Travel Kuchikomi When They Opened Japan Japan Yesterday Opinions Events Executive Impact 2023 GPlusMedia . Privacy Moderation Policy Advertise About Company Profile
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https://kansaspublicradio.org/npr-news/npr-news/2023-05-31/experts-issue-a-dire-warning-about-ai-and-encourage-limits-be-imposed
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Experts issue a dire warning about AI and encourage limits be imposed
By
Ben Abrams
Published May 31, 2023 at 6:18 AM CDT
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Yuichiro Chino
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Getty ImagesTech leaders warn that we don't know the full extent of the harms and advantages of artificial intelligence and urge more study to fully grasp its eventual impact.
Updated June 1, 2023 at 4:59 PM ET
A statement from hundreds of tech leaders carries a stark warning: artificial intelligence (AI) poses an existential threat to humanity. With just 22 words, the statement reads, "Mitigating the risk of extinction from AI should be a global priority alongside other societal scale risks such as pandemics and nuclear war."
Among the tech leaders, CEOs and scientists who signed the statement that was issued Tuesday is Scott Niekum, an associate professor who heads the Safe, Confident, and Aligned Learning + Robotics (SCALAR) lab at the University of Massachusetts Amherst.
Niekum tells NPR's Leila Fadel on Morning Edition that AI has progressed so fast that the threats are still uncalculated, from near-term impacts on minority populations to longer-term catastrophic outcomes. "We really need to be ready to deal with those problems," Niekum said.
This interview has been edited for length and clarity.
Interview Highlights
Does AI, if left unregulated, spell the end of civilization?
"We don't really know how to accurately communicate to AI systems what we want them to do. So imagine I want to teach a robot how to jump. So I say, "Hey, I'm going to give you a reward for every inch you get off the ground." Maybe the robot decides just to go grab a ladder and climb up it and it's accomplished the goal I set out for it. But in a way that's very different from what I wanted it to do. And that maybe has side effects on the world. Maybe it's scratched something with the ladder. Maybe I didn't want it touching the ladder in the first place. And if you swap out a ladder and a robot for self-driving cars or AI weapon systems or other things, that may take our statements very literally and do things very different from what we wanted.
Why would scientists have unleashed AI without considering the consequences?
There are huge upsides to AI if we can control it. But one of the reasons that we put the statement out is that we feel like the study of safety and regulation of AI and mitigation of the harms, both short-term and long-term, has been understudied compared to the huge gain of capabilities that we've seen...And we need time to catch up and resources to do so.
What are some of the harms already experienced because of AI technology?
A lot of them, unfortunately, as many things do, fall with a higher burden on minority populations. So, for example, facial recognition systems work more poorly on Black people and have led to false arrests. Misinformation has gotten amplified by these systems...But it's a spectrum. And as these systems become more and more capable, the types of risks and the levels of those risks almost certainly are going to continue to increase.
AI is such a broad term. What kind of technology are we talking about?
AI is not just any one thing. It's really a set of technologies that allow us to get computers to do things for us, often by learning from data. This can be things as simple as doing elevator scheduling in a more efficient way, or ambulance versus ambulance figuring out which one to dispatch based on a bunch of data we have about the current state of affairs in the city or of the patients.
It can go all the way to the other end of having extremely general agents. So something like ChatGPT where it operates in the domain of language where you can do so many different things. You can write a short story for somebody, you can give them medical advice. You can generate code that could be used to hack and bring up some of these dangers. And what many companies are interested in building is something called AGI, artificial general intelligence, which colloquially, essentially means that it's an AI system that can do most or all of the tasks that a human can do at least at a human level.
Copyright 2023 NPR. To see more, visit https://www.npr.org.
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Experts issue a dire warning about AI and encourage limits be imposed
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Updated June 1, 2023 4:59 PM ET A statement hundreds tech leaders carries stark warning: artificial intelligence AI poses existential threat humanity. With 22 words, statement reads, Mitigating risk extinction AI global priority alongside societal scale risks pandemics nuclear war. Among tech leaders, CEOs scientists signed statement issued Tuesday Scott Niekum, associate professor heads Safe, Confident, Aligned Learning Robotics SCALAR lab University Massachusetts Amherst. Niekum tells NPRs Leila Fadel Morning Edition AI progressed fast threats uncalculated, nearterm impacts minority populations longerterm catastrophic outcomes. We need ready deal problems, Niekum said. This interview edited length clarity. Interview Highlights Does AI, left unregulated, spell end civilization? We dont know accurately communicate AI systems want do. So imagine I want teach robot jump. So I say, Hey, Im going reward inch ground. Maybe robot decides grab ladder climb accomplished goal I set it. But way thats different I wanted do. And maybe effects world. Maybe scratched ladder. Maybe I didnt want touching ladder place. And swap ladder robot selfdriving cars AI weapon systems things, statements literally things different wanted. Why scientists unleashed AI considering consequences? There huge upsides AI control it. But reasons statement feel like study safety regulation AI mitigation harms, shortterm longterm, understudied compared huge gain capabilities weve seen...And need time catch resources so. What harms experienced AI technology? A lot them, unfortunately, things do, fall higher burden minority populations. So, example, facial recognition systems work poorly Black people led false arrests. Misinformation gotten amplified systems...But spectrum. And systems capable, types risks levels risks certainly going continue increase. AI broad term. What kind technology talking about? AI thing. Its set technologies allow computers things us, learning data. This things simple elevator scheduling efficient way, ambulance versus ambulance figuring dispatch based bunch data current state affairs city patients. It way end extremely general agents. So like ChatGPT operates domain language different things. You write short story somebody, medical advice. You generate code hack bring dangers. And companies interested building called AGI, artificial general intelligence, colloquially, essentially means AI tasks human human level. 2023 NPR. To more, visit NPR News Facebook Twitter LinkedIn Email Ben Abrams 2023 Kansas Public Radio91.5 FM KANU Lawrence, Topeka, Kansas City96.1 FM K241AR Lawrence KPR289.7 FM KANH Emporia99.5 FM K258BT Manhattan97.9 FM K250AY Manhattan KPR291.3 FM KANV Junction City, Olsburg89.9 FM K210CR Atchison90.3 FM KANQ ChanuteSee Coverage Map detailsFCC Online Public Inspection Files Sites:KANU, KANH, KANV, KANQQuestions KPRs Public Inspection Files? 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https://kesq.com/entertainment/cnn-entertainment/2023/06/14/artificial-intelligence-got-you-freaked-out-watch-these-movies-to-feel-better-or-totally-validated/
| 2023-06-14T00:00:00 |
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Artificial intelligence got you freaked out? Watch these movies to feel better (or totally validated) - KESQ
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Artificial intelligence got you freaked out? Watch these movies to feel better (or totally validated) - KESQ
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CNN - Entertainment
Artificial intelligence got you freaked out? Watch these movies to feel better (or totally validated)
PixarPixar's "WALL-E" (2008)
By CNN Newsource
Published
June 14, 2023
9:06 AM
Share on FacebookShare on Twitter Share on Linkedin
By Lisa Respers France, CNN
(CNN) — Based on who you talk to, artificial intelligence (AI) is either going to save the world or destroy it.
While Hollywood is in the midst of a writers’ strike, in part due to concern over AI, we have put together a list of some of the films you can watch to remind you of the power (and potential dangers) of technology.
Because who doesn’t want to binge watch as a way to self-soothe?
“WALL-E”
Let’s start with one that tugs at the heartstrings.
This 2008 film combines science fiction with computer animation and romance to tell the tale of a solitary robot whose job it is to collect trash on 22nd century Earth, which has been decimated by pollution and deserted.
WALL-E falling in love with another robot leads to all types of action and a feel-good film for the whole family. (It’s also offers a great reminder to look away from screens more often.)
“The Mitchells vs. the Machines”
Speaking of fun for the whole family, this 2021 animated film is about a dysfunctional family who tries to save the world from a revolution of robots during a road trip.
If that doesn’t sound like summer time, nothing does.
“Minority Report”
This one is definitely darker.
What do you get when you mix the acting of Tom Cruise with the directing of Steven Spielberg and a movie losely based on the writing of famed author Philip K. Dick?
The result is the 2002 sc-fi blockbuster, set in a world where technology can predict murders before they happen and nab the murderers before the deed is done.
“The Matrix”
Possibly the most famous movie on this list, the 1999 original kicked off a franchise starring Keanu Reeves as cybercriminal and programmer, Neo, living in a world where robots dominate.
Naturally, this happened after said robots revolted against humans because isn’t that what folks are worried about thanks to being a frequent theme in such films?
“WarGames”
Technology bringing us to the precipice of nuclear destruction is another common movie theme (as well as a real-life concern.)
In this 1983 sci-fi thriller, Matthew Broderick stars as a hacker who finds his way into a supercomputer that attempts to kick off war with the Soviet Union.
“M3GAN”
This one definitely won’t ease your concerns about AI.
A doll with artificial intelligence leans into the very human emotions of jealousy and anger to deal with anyone she believes is coming between her and her human companion.
Scary sci-fi is double the trouble, double the pleasure – again depending upon the audience.
“The Terminator”
No self respecting AI list would be complete without the granddaddy of them all.
Arnold Schwarzenegger stars as a cyborg assassin who travels back from the future in an attempt to kill a woman who will later give birth to a son that grows up to save mankind from a hostile form of artificial intelligence.
From the signature line “I’ll be back” to a franchise of sequels, this 1984 film is a huge part of the pop culture zeitgeist.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
Article Topic Follows: CNN - Entertainment
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Artificial intelligence got you freaked out? Watch these movies to feel better (or totally validated)
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Artificial intelligence got freaked out? Watch movies feel better totally validated KESQ circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News California Crime Coachella Valley Questions Answered Education Fentanyl Crisis ITeam Investigations Neighborhood Heroes Salton Sea Project Stands You USWorld Weather Alerts Weather Cams Heat Alert Earthquake Alert First Alert Weather Alert Day Local Forecast Photo Galleries Weather Videos Sports Coachella Valley Firebirds Scholar Athlete Week LA Rams High School Football KUNA Noticias Clima Deportes Resultados las Elecciones La Poderosa Podcasts Regreso Clases Salton Sea: La Agona Paraso St. Jude Dream Home Gas Al Mejor Precio Programas Quienes Somos Your Vote Local Politics National Politics Livestreams Videos Live Cams Livestream Special Coverage Livestream Newscasts Life St. Jude Dream Home Desert Chat Do The Right Thing House Home Healthy Living Mothers Day Water Wise Eye Desert Coachella Valley Spotlight Now Hiring One Class Time Events Entertainment Healthy Pets Your Money Shop Desert Experts CV Golf Card Gas Gauge Play Contests Neighborhood Heroes Share Submit Tips, Pics Video Jobs Work KESQ Explore Local Jobs Intern KESQ Advertise Us Us KESQ Jobs Internships News Team TV Listings CW 5 Palm Springs FOX 11 Palm Springs Closed Captioning Information Download News Channel 3 News app FCC Public File 2022 EEO Report 2021 EEO Report 2020 EEO Report 2019 EEO Report Public File Help NewslettersAlerts Skip Content News Weather Sports KUNA Life Shop Play Share Watch Palm Springs 94 First Alert Forecast MidJune warm continues, wind ahead KESQ Breaking News Email Alerts Get Breaking News Alerts CNN Entertainment Artificial intelligence got freaked out? Watch movies feel better totally validated PixarPixars WALLE 2008 By CNN Newsource Published June 14, 2023 9:06 AM Share FacebookShare Twitter Share Linkedin By Lisa Respers France, CNN CNN Based talk to, artificial intelligence AI going save world destroy it. While Hollywood midst writers strike, concern AI, list films watch remind power potential dangers technology. Because doesnt want binge watch way selfsoothe? WALLE Lets start tugs heartstrings. This 2008 film combines science fiction animation romance tell tale solitary robot job collect trash 22nd century Earth, decimated pollution deserted. WALLE falling love robot leads types action feelgood film family. Its offers great reminder look away screens often. The Mitchells vs. Machines Speaking fun family, 2021 animated film dysfunctional family tries save world revolution robots road trip. If doesnt sound like summer time, does. Minority Report This definitely darker. What mix acting Tom Cruise directing Steven Spielberg movie losely based writing famed author Philip K. Dick? The result 2002 scfi blockbuster, set world technology predict murders happen nab murderers deed done. The Matrix Possibly famous movie list, 1999 original kicked franchise starring Keanu Reeves cybercriminal programmer, Neo, living world robots dominate. Naturally, happened said robots revolted humans isnt folks worried thanks frequent theme films? WarGames Technology bringing precipice nuclear destruction common movie theme reallife concern. In 1983 scifi thriller, Matthew Broderick stars hacker finds way supercomputer attempts kick war Soviet Union. M3GAN This definitely wont ease concerns AI. A doll artificial intelligence leans human emotions jealousy anger deal believes coming human companion. Scary scifi double trouble, double pleasure depending audience. The Terminator No self respecting AI list complete granddaddy all. Arnold Schwarzenegger stars cyborg assassin travels future attempt kill woman later birth son grows save mankind hostile form artificial intelligence. From signature line Ill franchise sequels, 1984 film huge pop culture zeitgeist. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: CNN Entertainment Jump comments CNN Newsource Related Articles First Alert Weather Alert: gusty conditions Valentines Day First Alert Weather Alert: Gusty winds bring road closures, impacts Coachella Valley First Alert Weather Alert: Flood Watch effect midnight How pets safe warmer temperatures BE PART OF THE CONVERSATION News Channel 3 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. 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https://kesq.com/money/cnn-business-consumer/2023/07/12/elon-musk-announces-a-new-ai-company/
| 2023-07-13T00:00:00 |
en
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Elon Musk announces a new AI company - KESQ
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Elon Musk announces a new AI company - KESQ
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CNN - Business/Consumer
Elon Musk announces a new AI company
Gonzalo Fuentes/ReutersElon Musk
By CNN Newsource
Published
July 12, 2023
6:46 PM
Share on FacebookShare on Twitter Share on Linkedin
By Catherine Thorbecke, CNN
(CNN) — Elon Musk on Wednesday announced the formation of a new company focused on artificial intelligence, after months of teasing plans to build a rival to ChatGPT.
The company, called xAI, unveiled a website and a team of a dozen staffers. The new company will be led by Musk, according to the website, and “will work closely with X (Twitter), Tesla, and other companies to make progress towards our mission.”
“The goal of xAI is to understand the true nature of the universe,” the website states, echoing language Musk has used before to describe his AI ambitions.
Musk was an early backer of ChatGPT-creator OpenAI, but later criticized the company for inputting safeguards that aim to prevent the viral chatbot from spewing biased or sexist responses.
“The danger of training AI to be woke – in other words, lie – is deadly,” Musk tweeted in December, responding to a Twitter user who asked OpenAI’s CEO if it was possible to “turn off the woke settings” on ChatGPT.
In an interview with then-Fox News host Tucker Carlson in April, Musk said teased plans for his new AI venture. “We’re going to start something which I call TruthGPT,” he said, describing it as a “maximum truth-seeking AI” that “cares about understanding the universe.”
Musk’s announcement of the new company comes months after he warned in an interview that he thinks AI could cause “civilization destruction” and joined other tech leaders in calling for a pause in an “out of control” AI race.
Few other details on the company’s mission were immediately available, but the website indicates it is actively recruiting staff. At the moment, all of the dozen staffers on the website appear to be men.
The announcement of Musk’s latest venture comes at a precarious moment for Musk.
Twitter, the company he acquired for $44 billion in October, now faces an uncertain future after Meta launched a rival app called Threads. Meta’s app topped 100 million sign-ups in less than a week. Meanwhile, there were multiple reports of Twitter’s usage declining.
The turbulence at Twitter comes after months of Musk alienating some users and advertisers by slashing staff, pushing through controversial policy changes and making a number of incendiary remarks.
In addition to Twitter, Musk runs several other companies, including Tesla, SpaceX, Neuralink and The Boring Company.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
Article Topic Follows: CNN - Business/Consumer
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Elon Musk announces a new AI company
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Elon Musk announces new AI company KESQ circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News California Crime Coachella Valley Questions Answered Education Fentanyl Crisis ITeam Investigations Neighborhood Heroes Salton Sea Project Stands You USWorld Weather Alerts Weather Cams Heat Alert Earthquake Alert First Alert Weather Alert Day Local Forecast Photo Galleries Weather Videos Sports Coachella Valley Firebirds Scholar Athlete Week LA Rams High School Football KUNA Noticias Clima Deportes Resultados las Elecciones La Poderosa Podcasts Regreso Clases Salton Sea: La Agona Paraso St. Jude Dream Home Gas Al Mejor Precio Programas Quienes Somos Your Vote Local Politics National Politics Livestreams Videos Live Cams Livestream Special Coverage Livestream Newscasts Life St. Jude Dream Home Desert Chat Do The Right Thing Energy Education House Home Healthy Living Water Wise Eye Desert Coachella Valley Spotlight Best Places Work Now Hiring One Class Time Events Entertainment Healthy Pets Your Money Shop Desert Experts CV Golf Card Gas Gauge Play Contests Neighborhood Heroes Share Submit Tips, Pics Video Jobs Work KESQ Explore Local Jobs Intern KESQ Advertise Us Us KESQ Jobs Internships News Team TV Listings CW 5 Palm Springs FOX 11 Palm Springs Closed Captioning Information Download News Channel 3 News app FCC Public File 2022 EEO Report 2021 EEO Report 2020 EEO Report 2019 EEO Report Public File Help NewslettersAlerts Skip Content News Weather Sports KUNA Life Shop Play Share Watch Palm Springs 100 First Alert Forecast More Heat Moving In Ahead Of The Weekend KESQ Breaking News Email Alerts Get Breaking News Alerts CNN BusinessConsumer Elon Musk announces new AI company Gonzalo FuentesReutersElon Musk By CNN Newsource Published July 12, 2023 6:46 PM Share FacebookShare Twitter Share Linkedin By Catherine Thorbecke, CNN CNN Elon Musk Wednesday announced formation new company focused artificial intelligence, months teasing plans build rival ChatGPT. The company, called xAI, unveiled website team dozen staffers. The new company led Musk, according website, work closely X Twitter, Tesla, companies progress mission. The goal xAI understand true nature universe, website states, echoing language Musk AI ambitions. Musk early backer ChatGPTcreator OpenAI, later criticized company inputting safeguards aim prevent viral chatbot spewing biased sexist responses. The danger training AI woke words, lie deadly, Musk tweeted December, responding Twitter user asked OpenAIs CEO possible turn woke settings ChatGPT. In interview thenFox News host Tucker Carlson April, Musk said teased plans new AI venture. Were going start I TruthGPT, said, describing maximum truthseeking AI cares understanding universe. Musks announcement new company comes months warned interview thinks AI cause civilization destruction joined tech leaders calling pause control AI race. Few details companys mission immediately available, website indicates actively recruiting staff. At moment, dozen staffers website appear men. The announcement Musks latest venture comes precarious moment Musk. Twitter, company acquired 44 billion October, faces uncertain future Meta launched rival app called Threads. Metas app topped 100 million signups week. Meanwhile, multiple reports Twitters usage declining. The turbulence Twitter comes months Musk alienating users advertisers slashing staff, pushing controversial policy changes making number incendiary remarks. In addition Twitter, Musk runs companies, including Tesla, SpaceX, Neuralink The Boring Company. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: CNN BusinessConsumer Jump comments CNN Newsource BE PART OF THE CONVERSATION News Channel 3 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. Community Guidelines KESQTV FCC Public File KPSPTV FCC Public File KDFXTV FCC Public File EEO Report FCC Applications Do Not Sell My Personal Information Email Alerts Daily News Headlines Morning Forecast Breaking News Severe Weather Contests Promotions Coronavirus Updates Download Our Apps Available iOS Android 2023, GulfCalifornia Broadcast Company Palm Springs, CA USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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https://kesq.com/news/ap-national-business/2022/01/24/facebook-parent-meta-creates-powerful-ai-supercomputer-2/
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Facebook parent Meta creates powerful AI supercomputer - KESQ
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Facebook parent Meta creates powerful AI supercomputer - KESQ
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Facebook parent Meta creates powerful AI supercomputer
MENLO PARK, Calif. (AP) — Facebook’s parent company Meta says it has created what it believes is among the fastest artificial intelligence supercomputers running today. It hopes it will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today. The company says it believes the computer will be the fastest in the world once it is fully built in mid-2022. Supercomputers are extremely fast and powerful machines built to do complex calculations. Meta did not disclose where the computer is located or how much it is costing to build.
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Facebook parent Meta creates powerful AI supercomputer
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Facebook parent Meta creates powerful AI supercomputer KESQ circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News California Crime Coachella Valley Questions Answered Education ITeam Investigations Neighborhood Heroes Salton Sea Project Scandal City Hall Stands You USWorld Coronavirus Coronavirus: Questions Answered Local Resources Weather Alerts Heat Alert Earthquake Alert First Alert Weather Alert Day Local Forecast Photo Galleries Weather Videos Sports High School Football Scholar Athlete Week The American Express Golf Tournament LA Rams KUNA Resultados las Elecciones Clima Deportes Mes la Herencia Hispana Costal Regalos Da Reyes La Poderosa Podcasts Regreso Clases Salton Sea: La Agona Paraso St. Jude Gas Al Mejor Precio Noticias Programas Quienes Somos Your Vote Election Results Recall Election Interactive Results Election Interactives Livestreams Videos Live Cams Livestream Special Coverage Livestream Newscasts Life St. Jude Dream Home Eye Desert Valentines Day Gas Gauge Coachella Valley Spotlight Palm Springs International Film Festival Desert Business Update Now Hiring One Class Time Events Entertainment Business Matters Healthy Living Healthy Pets Shop indiGO Stadium ShootOut CV Pros Gas Gauge CVLocalLinks Play Contests Birthday Wishes Share Submit Tips, Pics Video Advertise Us Us KESQ Jobs Internships News Team CW 5 Palm Springs FOX 11 Palm Springs Closed Captioning Information Download Our Apps FCC Public File 2021 EEO Report 2020 EEO Report 2019 EEO Report Public File Help NewslettersAlerts TV Listings Skip Content News Weather CVLocalLinks KUNA Life Shop Play Share Watch Palm Springs 75 First Alert Forecast Warm temperatures Santa Ana winds KESQ Breaking News Email Alerts Top Headlines News Palm Springs International Airport sets seventh straight monthly passenger record News Vaccine Debate: Two new bills introduced children, vaccines News Coachella Valley Firebirds unveil jersey American Express Twice nice Hudson Swafford 2022 American Express champion, winning La Quinta second tournament title Get Breaking News Alerts Click Here Download News Channel 3 app News Channel 3 Live Click Here Watch Our Newscasts Live AP National Business By Associated Press Published January 24, 2022 12:23 PM Share FacebookShare Twitter Share Linkedin Facebook parent Meta creates powerful AI supercomputer MENLO PARK, Calif. AP Facebooks parent company Meta says created believes fastest artificial intelligence supercomputers running today. It hopes help lay groundwork building metaverse, virtual reality construct intended supplant internet know today. The company says believes fastest world fully built mid2022. Supercomputers extremely fast powerful machines built complex calculations. Meta disclose located costing build. AP National Business Associated Press Related Articles Avenatti cast thief generous lawyer criminal trial Fed signal rate hike launches risky inflation fight WHO chief warns talk endgame pandemic In global 5G race, European Union told step pace KESQTV FCC Public File KPSPTV FCC Public File KDFXTV FCC Public File EEO Report FCC Applications Do Not Sell My Personal Information Email Alerts Daily News Headlines Morning Forecast Breaking News Severe Weather Contests Promotions Coronavirus Updates Download Our Apps Available iOS Android 2022, GulfCalifornia Broadcast Company Palm Springs, CA USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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https://keyt.com/news/money-and-business/2021/03/05/a-new-program-can-animate-old-photos-but-theres-nothing-human-about-artificial-intelligence/
| 2021-03-05T00:00:00 |
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A new program can animate old photos. But there's nothing human about artificial intelligence | NewsChannel 3-12
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A new program can animate old photos. But there's nothing human about artificial intelligence | NewsChannel 3-12
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Money and Business
By CNN Newsource
Published
March 5, 2021
7:46 am
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A new program can animate old photos. But there’s nothing human about artificial intelligence
It’s hard to explain the mix of emotions that spark upon seeing a photo of Frederick Douglass come alive with the click of a button. And yet, there he is, blinking and nodding as if he were just alive yesterday, as if he hadn’t died in 1895, years before film recording became commonplace.
His animated image and others like it — at the same time unsettling, emotional, and a bit fantastical, are made possible by Deep Nostalgia, an artificial intelligence program from the genealogy platform MyHeritage.
As far as AI-animated images go, the technology behind these Harry Potter-esque photos isn’t particularly complex.
Users are invited to supply old photos of their loved ones, and the program uses deep learning to apply predetermined movements to their facial features. It also makes up for little moments that aren’t in the original photo, like the reveal of teeth or the side of a head. Together it creates, if not an entirely natural effect, than a deeply arresting one.
Responses to the Deep Nostalgia images — tears at seeing a grandmother’s smile, an eerie feeling of connection to a long-dead historical icon — knock on a mysterious emotional wall between us and this type of rapidly-evolving technology.
We rely on perception and emotion
“The draw here is that visual imagery is visceral and compelling and we respond to it,” says Hany Farid, associate dean and head of the School of Information at UC Berkeley. “We are visual beings. When you see your grandmother or Mark Twain come alive, there’s something fascinating about it.”
Fascinating — and yes, a little frightening.
Our brains, as sophisticated as they are, have a prehistoric response to things that are almost human, but not quite. This is commonly called the uncanny valley, and a lot of deepfakes and AI-driven image manipulations set off this ancient alarm bell. Even MyHeritage addresses this reaction in their explanation of the program.
“Indeed, the results can be controversial and it’s hard to stay indifferent to this technology,” their FAQ page reads.
When it’s a beloved relative occupying that almost-but-not-quite space in reality, the parts of our brain that love and fear are pitted against each other, even if we know full well that what we’re looking at isn’t real.
“The way our brain processes images of people is different than inanimate objects. It taps into neural circuitry,” Farid says. “For years we have been able to synthesize inanimate objects, and that completely fools the visual system because we don’t have preconceived notions of how they move. But when it comes to humans, it is lagging. Part of that is the subtle way we move and recognize these movements.”
“My sense of wonder might be tinged with a sense of terror” said La Marr Jurelle Bruce, a professor at the University of Maryland who shared the animated image of Frederick Douglass, capturing the attention of hundreds of thousands of people online.
AI relies on data and rules
Deepfakes, which are a sophisticated melding of synthetic audio and images, have been a point of contention for digital ethicists for years, especially when it comes to issues like altered pornography and fake videos that could threaten national and financial institutions.
For a more positive application, companies have been turning to the technology more and more to create widely customizable ad campaigns. The payoff, experts say, is that the consumer can feel more attached to a brand or a product by seeing the specific way it would fit into their life — on a model with similar proportions, in their own language, or in a micro-targeted ad that speaks to their interests.
Those kinds of applications are courting a similar kind of human connection as Deep Nostalgia. But the fact is, there’s nothing human about artificial intelligence.
Farid is careful to point out that machine learning, which is what drives more widely available animation technologies like Deep Nostalgia, is a field within the greater world of artificial intelligence. Machine learning pores over data and finds patterns. While a program may get better with more input, there isn’t any intelligence or analysis involved in the way it applies these patterns.
There are many applications that benefit greatly from this type of data.
“When you’re predicting the stock market, you want patterns,” Farid offers as an example. “Or doing cancer diagnoses. I don’t need to understand at the moment why cancer shows up, I just want to know if it does.”
When applied to more human pursuits, the lack of, well, intelligence shows through.
The smiling faces of our ancestors, though touching, naturally don’t hold up once we drop our suspension of disbelief.
AI-generated renderings of human faces, another threat to the security of our online environs, often contain hilarious glitches where a program, not quite sure what to do with irregular things like ears or glasses, spits out little monstrosities hidden in otherwise convincing visages.
Even extremely sophisticated, true deepfakes like the elaborate ones of Tom Cruise currently being passed around often have small inconsistencies that make us second guess our own sense of reality.
Those inconsistencies, however, will lessen as the technology develops, and Farid says the time has come for companies to look critically at the ethical implications of using them.
“The tech sector has done things because they can and not because they should,” he says. “We need to stop building things because they’re cool and start asking these hard questions before it’s too late.”
Before, say, the technology gets so good that our emotions are able to override our keen senses of perception.
When using Deep Nostalgia, MyHeritage cautions users against uploading photos of living people without their consent, and says the company did not add audio options in the interest of user safety.
In the future, perhaps another program will be able to fill in those gaps, and we’ll be able to see, hear and converse with those long lost to us. Such technology will present stunning challenges to our security and our sense of reality as we know it.
But when it’s smiling at us through the comforting faces of our dearest loved ones, it will be that much harder to resist.
CNN Newsource
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A new program can animate old photos. But there's nothing human about artificial intelligence
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A new program animate old photos. But theres human artificial intelligence NewsChannel 312 circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Santa Barbara South County Santa Maria Lompoc North County San Luis Obispo County Ventura County Crime Safety Fires NewsChannel 3 Investigates NewsChannel 12 Eye On Crime Politics NationalWorld Latino Coronavirus Weather Local Forecast Interactive Radar SkyCam Network Traffic Gas Prices Your Vote Local Politics Interactive Results Election Results Election Interactives Sports High School Sports College Sports More Sports Friday Football Focus Videos Newscasts NewsChannel 3 Livestream NewsChannel 12 Livestream Livestream Special Coverage KKFX Fox 11 Morning Safe Home Life Holiday Turkey Drive House Home Business Matters Your Money Community Events Calendar Health Technology Whats Right Shop 805LocalLinks Central Coast Deals Health Connections 805 Professionals Play Contests Entertainment Travel Share About Advertise Us Us Closed Captioning Download Our Apps EEO Public Filing FCC Public File How NewsChannel 12 Public File Help Jobs Internships Meet Team NewslettersAlerts TV Listings Skip Content News Weather Traffic LocalLinks Life Shop Play Share Watch Santa Barbara 57 Santa Maria 62 Santa Barbara 64 Video Forecast Friday morning forecast March 5th Take mobile apps Top Stories Royal Rumble: Previewing Oprahs Sunday interview Meghan Harry US adds strong 379,000 jobs hopeful sign economy Pope arrives Iraq rally Christians despite pandemic, safety concerns Documentary Goleta drivein captures Glen Campbells musical journey Alzheimers Santa Barbara County teachers receive COVID19 vaccine Money Business By CNN Newsource Published March 5, 2021 7:46 Share FacebookShare Twitter Share Linkedin A new program animate old photos. But theres human artificial intelligence Its hard explain mix emotions spark seeing photo Frederick Douglass come alive click button. And yet, is, blinking nodding alive yesterday, hadnt died 1895, years film recording commonplace. His animated image like time unsettling, emotional, bit fantastical, possible Deep Nostalgia, artificial intelligence program genealogy platform MyHeritage. As far AIanimated images go, technology Harry Potteresque photos isnt particularly complex. Users invited supply old photos loved ones, program uses deep learning apply predetermined movements facial features. It makes little moments arent original photo, like reveal teeth head. Together creates, entirely natural effect, deeply arresting one. Responses Deep Nostalgia images tears seeing grandmothers smile, eerie feeling connection longdead historical icon knock mysterious emotional wall type rapidlyevolving technology. We rely perception emotion The draw visual imagery visceral compelling respond it, says Hany Farid, associate dean head School Information UC Berkeley. We visual beings. When grandmother Mark Twain come alive, theres fascinating it. Fascinating yes, little frightening. Our brains, sophisticated are, prehistoric response things human, quite. This commonly called uncanny valley, lot deepfakes AIdriven image manipulations set ancient alarm bell. Even MyHeritage addresses reaction explanation program. Indeed, results controversial hard stay indifferent technology, FAQ reads. When beloved relative occupying almostbutnotquite space reality, parts brain love fear pitted other, know looking isnt real. The way brain processes images people different inanimate objects. It taps neural circuitry, Farid says. For years able synthesize inanimate objects, completely fools visual dont preconceived notions move. But comes humans, lagging. Part subtle way recognize movements. My sense wonder tinged sense terror said La Marr Jurelle Bruce, professor University Maryland shared animated image Frederick Douglass, capturing attention hundreds thousands people online. AI relies data rules Deepfakes, sophisticated melding synthetic audio images, point contention digital ethicists years, especially comes issues like altered pornography fake videos threaten national financial institutions. For positive application, companies turning technology create widely customizable ad campaigns. The payoff, experts say, consumer feel attached brand product seeing specific way fit life model similar proportions, language, microtargeted ad speaks interests. Those kinds applications courting similar kind human connection Deep Nostalgia. But fact is, theres human artificial intelligence. Farid careful point machine learning, drives widely available animation technologies like Deep Nostalgia, field greater world artificial intelligence. Machine learning pores data finds patterns. While program better input, isnt intelligence analysis involved way applies patterns. There applications benefit greatly type data. When youre predicting stock market, want patterns, Farid offers example. Or cancer diagnoses. I dont need understand moment cancer shows up, I want know does. When applied human pursuits, lack of, well, intelligence shows through. The smiling faces ancestors, touching, naturally dont hold drop suspension disbelief. AIgenerated renderings human faces, threat security online environs, contain hilarious glitches program, sure irregular things like ears glasses, spits little monstrosities hidden convincing visages. Even extremely sophisticated, true deepfakes like elaborate ones Tom Cruise currently passed small inconsistencies second guess sense reality. Those inconsistencies, however, lessen technology develops, Farid says time come companies look critically ethical implications them. The tech sector things should, says. We need stop building things theyre cool start asking hard questions late. Before, say, technology gets good emotions able override keen senses perception. When Deep Nostalgia, MyHeritage cautions users uploading photos living people consent, says company add audio options user safety. In future, program able gaps, able see, hear converse long lost us. Such technology present stunning challenges security sense reality know it. But smiling comforting faces dearest loved ones, harder resist. CNN Newsource Related Articles Stocks fall despite solid jobs report Fake tax preparer gets Covid19 bailout loans worth 1 million The US added 379,000 jobs February, signaling recovery finally gaining steam People turning Nextdoor tips getting vaccine. Why problem Comments Leave Reply Cancel replyYou logged post comment. FCC Public File EEO Public Filing Do Not Sell My Personal Information Email Lists Daily News Update Weather Forecast Breaking News Severe Weather Contests Promotions Download Our Apps Available iOS Android 2021, NPG California, LLC Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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] | 1 | 196,965 |
https://ksusentinel.com/2021/02/17/artificial-intelligence-robotics-market-next-big-thing-major-giants-are-nvidia-intel-ibm-microsoft-xilinx-softbank/
| 2021-02-17T00:00:00 |
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Artificial Intelligence Robotics Market Next Big Thing | Major Giants are NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank. – KSU | The Sentinel Newspaper
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Artificial Intelligence Robotics Market Next Big Thing | Major Giants are NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank.
Global Artificial Intelligence Robotics Market Report 2020 - Market Size, Share, Price, Trend and Forecast
reportsintellectFebruary 17, 2021 0
The Artificial Intelligence Robotics market research study assists the client in analyzing various business aspects and dynamics along with the macro and micro-economic indicators for each demography in the global market landscape. The report offers a comprehensive evaluation of the current as well as the upcoming trends of the Artificial Intelligence Robotics market.
Major Market Players mentioned are NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank.
Sample PDF Brochure @ https://www.reportsintellect.com/sample-request/997619
The Artificial Intelligence Robotics study has a deduced analysis of the revenue and sales of the major players in the market landscape. The Artificial Intelligence Robotics market report has also categorized the various aspects into different segments and provided the client with its estimation and valuation accordingly. The report also offers you a financial analysis of the market and hence it is useful to the market players as well as the investors looking to invest the Artificial Intelligence Robotics market.
By types:
Service Robots
Industrial Robots
Geographical Regions covered are:
North America (United States, Canada, Mexico)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
Europe, Middle East and Africa (Germany, France, UK, Russia and Italy, Saudi Arabia, UAE, Egypt, Nigeria, South Africa)
Discount PDF Brochure @ https://www.reportsintellect.com/discount-request/997619
Research Methodology:
This Artificial Intelligence Robotics market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition and this report is compiled by the use of extensive research techniques and is based on primary and secondary research. The Artificial Intelligence Robotics report provides estimates, forecasts, and analyses and follows an aggressive data-heavy approach to gather and synthesize all the information essential to make informed business decisions.
TOC:
Chapter 1 Executive Summary
Chapter 2 Abbreviation and Acronyms
Chapter 3 Preface
3.1 Research Scope
3.2 Research Methodology
3.2.1 Primary Sources
3.2.2 Secondary Sources
3.2.3 Assumptions
Chapter 4 Market Landscape
4.1 Market Overview
4.2 Classification/Types
4.3 Application/End Users
Chapter 5 Market Trend Analysis
5.1 Introduction
5.2 Drivers
5.3 Restraints
5.4 Opportunities
5.5 Threats
Continued….
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TagsArtificial Intelligence Robotics Market demand 2020-2027 Artificial Intelligence Robotics Market forecast 2020-2027 Artificial Intelligence Robotics Market Future Analysis 2020-2027 Artificial Intelligence Robotics Market Future Scope 2020-2027 Artificial Intelligence Robotics Market growth 2020-2027 Artificial Intelligence Robotics Market Opportunity 2020-2027 Artificial Intelligence Robotics Market SWOT Analysis 2020-2027 Artificial Intelligence Robotics Market Trend 2020-2027 IBM Intel Microsoft NVIDIA Softbank. Xilinx
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Artificial Intelligence Robotics Market Next Big Thing
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Artificial Intelligence Robotics Market Next Big Thing Major Giants NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank. KSU The Sentinel Newspaper Wednesday, February 17 2021 Breaking News Free Foods Market Share, Demand Analysis, Growth, Trends Forecast 2025 Global Photoflood Lamp Market 2020 Industry Insights, Drivers, Top Trends, Global Analysis And Forecast 2027 Blockchain Identity Management Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 Work Orders Management Software Market Technology Advancements 2021 2026 IBM, IFS, Maintenance Connection, ManagerPlus Artificial Intelligence Robotics Market Next Big Thing Major Giants NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank. 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Global Artificial Intelligence Robotics Market Report 2020 Market Size, Share, Price, Trend Forecast reportsintellectFebruary 17, 2021 0 The Artificial Intelligence Robotics market research study assists client analyzing business aspects dynamics macro microeconomic indicators demography global market landscape. The report offers comprehensive evaluation current upcoming trends Artificial Intelligence Robotics market. Major Market Players mentioned NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank. Sample PDF Brochure @ The Artificial Intelligence Robotics study deduced analysis revenue sales major players market landscape. The Artificial Intelligence Robotics market report categorized aspects different segments provided client estimation valuation accordingly. The report offers financial analysis market useful market players investors looking invest Artificial Intelligence Robotics market. By types: Service Robots Industrial Robots Geographical Regions covered are: North America United States, Canada, Mexico AsiaPacific China, Japan, Korea, India, Southeast Asia South America Brazil, Argentina, Colombia, etc. Europe, Middle East Africa Germany, France, UK, Russia Italy, Saudi Arabia, UAE, Egypt, Nigeria, South Africa Discount PDF Brochure @ Research Methodology: This Artificial Intelligence Robotics market research aids spotting emerging trends facilitates strategic planning order stay ahead competition report compiled use extensive research techniques based primary secondary research. The Artificial Intelligence Robotics report provides estimates, forecasts, analyses follows aggressive dataheavy approach gather synthesize information essential informed business decisions. TOC: Chapter 1 Executive Summary Chapter 2 Abbreviation Acronyms Chapter 3 Preface 3.1 Research Scope 3.2 Research Methodology 3.2.1 Primary Sources 3.2.2 Secondary Sources 3.2.3 Assumptions Chapter 4 Market Landscape 4.1 Market Overview 4.2 ClassificationTypes 4.3 ApplicationEnd Users Chapter 5 Market Trend Analysis 5.1 Introduction 5.2 Drivers 5.3 Restraints 5.4 Opportunities 5.5 Threats Continued. : Reports Intellect onestop solution related market research market intelligence. We understand importance market intelligence need todays competitive world. Our professional team works hard fetch authentic research reports backed impeccable data figures guarantee outstanding results time you. So latest report researchers custom requirement, team help best possible way. 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Xilinx reportsintellectFebruary 17, 2021 0 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print reportsintellect Related Articles Simultaneous Interpretation Equipment Market 2020 Industry Share, Size, Growth, Demand, Segments Top Companies Analysis BOSCH, Philips, Enersound, Williams Sound, Listen Tech, Die Brhler ICS Konferenztechnik February 17, 2021 Passivation Services Market Covid19 Impact Analysis, Growth During 20202027 ABLE Electropolishing, HW Global Industries, Arrow Cryogenics February 17, 2021 Unexpected Growth Seen Hybrid Community Cloud Service Market Global Forecast 2027 Cisco Systems, Data direct Networks, Verizon Terremark February 17, 2021 High Throughput Screening Market Demand Analysis To 2026 Lead By Thermofisher Scientific, Hamilton Company, Axxam S.p.A, Tecan Group, Danaher Corporation February 17, 2021 Check Also Close Workforce Analytics Market 20212026 Major Players Hitting Reset Button Kronos, Infor, Verint, NICE Systems, Aspect, Workforce Software, Clicksoftware, Calabrio, ATOSS, Genesys February 15, 2021 Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Free Foods Market Share, Demand Analysis, Growth, Trends Forecast 2025 Global Photoflood Lamp Market 2020 Industry Insights, Drivers, Top Trends, Global Analysis And Forecast 2027 Blockchain Identity Management Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 Work Orders Management Software Market Technology Advancements 2021 2026 IBM, IFS, Maintenance Connection, ManagerPlus Artificial Intelligence Robotics Market Next Big Thing Major Giants NVIDIA, Intel, IBM, Microsoft, Xilinx, Softbank. 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] | 1 | 196,966 |
https://ksusentinel.com/2021/03/02/deep-learning-in-computer-vision-market-2020-analysis-by-regional-outlook-competitive-landscape-strategies-and-forecast-2027-2/
| 2021-03-02T00:00:00 |
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Deep Learning in Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 – KSU | The Sentinel Newspaper
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Home/Uncategorized/Deep Learning in Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027
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Deep Learning in Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027
Data Bridge Market ResearchMarch 2, 2021 0
The research and analysis conducted in Deep Learning in Computer Vision Market Report helps clients to predict investment in an emerging market, expansion of market share or success of a new product with the help of global market research analysis. This report has been designed in such a way that it provides very evident understanding of the business environment and Deep Learning in Computer Vision industry. Nevertheless, this global market research report unravels many business problems very quickly and easily. Due to high demand and the value of market research for the success of different sectors, Deep Learning in Computer Vision Market report is provided that covers many work areas.
Deep learning in computer vision market will grow at a rate of 55.65% for the forecast period of 2020 to 2027. Data Bridge Market Research report deep learning in computer vision market provides analysis and insights regarding the various factors expected to be prevalent.
Deep learning is an intense machine learning tool which indicates extraordinary execution in several fields. The best accomplishments of deep learning are protest acknowledgment with Convolutional Neural Networks (CNNs). CNNs’ principle control originates from obtaining information portrayals specifically from information in a progressive layer based structure.
Download Sample Copy of the Report to understand the structure of the complete report (Including Full TOC, Table & Figures) @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-deep-learning-in-computer-vision-market&somesh
Extensive improvements in fast information storage capacity is the vital factor escalating the market growth also increased computing power and parallelization and rising need for quality check and automation are the major factors among others driving the deep learning in computer vision market. Moreover, rising technological advancements and modernization will further create new opportunities for deep learning in computer vision market in the forecast period mentioned above.
However, lack of technical expertise and dearth of user awareness about rapidly changing computer vision technology are the major factors among others acting as restraints, and will further challenge the deep learning in computer vision market in the forecast period mentioned above.
This deep learning in computer vision market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on deep learning in computer vision market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Deep Learning in Computer Vision Market Scope and Market Size
Deep learning in computer vision market is segmented on the basis of hardware, solutions, applications and end-user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
On the basis of hardware, the deep learning in computer vision market is segmented into central processing unit (CPU), graphics processing unit (GPU) and others
On the basis of solutions, the deep learning in computer vision market is segmented into hardware, software and services
Based on application, the deep learning in computer vision market is segmented into image recognition, voice recognition and others
The deep learning in computer vision market is also segmented on the basis of end-user into automotive, healthcare and others
Deep Learning in Computer Vision Market Scope Country Level Analysis
Deep learning in computer vision market is analysed and market size, volume information is provided by country, hardware, solutions, applications and end-user as referenced above.
The countries covered in the deep learning in computer vision market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominates the deep learning in computer vision market due to high adoption of image and pattern recognition, rising investments in artificial intelligence and neural networks in this region. Europe is the expected region in terms of growth in deep learning in computer vision market.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request FREE TOC at @ https://www.databridgemarketresearch.com/toc/?dbmr=global-deep-learning-in-computer-vision-market&somesh
Competitive Landscape and Deep Learning in Computer Vision Market Share Analysis
Deep learning in computer vision market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to deep learning in computer vision market.
The major players covered in deep learning in computer vision market report are Accenture, appLariat, Inc., CA Technologies, Heroku, IBM Corporation, Circle Internet Services, Inc., Atlassian, Bitrise Ltd., CloudBees, Inc., Electric Cloud, Flexagon LLC., Infostretch Corporation, JetBrains s.r.o. , Kainos., Micro Focus, Microsoft, Puppet, Red Hat, Inc., Spirent Communications., VMware, Inc, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Major Highlights of Deep Learning in Computer Vision market in Covid-19 pandemic covered in report:
The report provides impact of COVID-19 on Deep Learning in Computer Vision market along with its impact on overall industry and economy of world. Further, it adds changes in consumer buying behavior as it impacts majorly on market growth and sales. Distributors and traders on marketing strategy analysis focusing on region wise needs in covid-19 pandemic is also added in the Deep Learning in Computer Vision market report. The last segment of COVID-19 impact chapter include recovery and major changes opted by major players involved in Deep Learning in Computer Vision market.
Reasons to Purchase this Report:
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value USD Million and volume Units Million data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Table of Content:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SIZING
PART 07: FIVE FORCES ANALYSIS
PART 08: MARKET SEGMENTATION BY PRODUCT
PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL
PART 10: CUSTOMER LANDSCAPE
PART 11: MARKET SEGMENTATION BY END-USER
PART 12: REGIONAL LANDSCAPE
PART 13: DECISION FRAMEWORK
PART 14: DRIVERS AND CHALLENGES
PART 15: MARKET TRENDS
PART 16: COMPETITIVE LANDSCAPE
PART 17: COMPANY PROFILES
PART 18: APPENDIX
Inquire Before Buying This Research Report: https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-deep-learning-in-computer-vision-market&somesh
About Us:
An absolute way to forecast what future holds is to comprehend the trend today!
Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge Market Research provides appropriate solutions to complex business challenges and initiates an effortless decision-making process.
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Deep Learning in Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027
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Deep Learning Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 KSU The Sentinel Newspaper Tuesday, March 2 2021 Breaking News Video Analytics System Market Growth, Opportunities Analysis Forecast By 2026 Cisco Systems, Ibm Corporation, Honeywell International ., Display Panel Market Trends, Growth Opportunities Global Outlook 20202026 Samsung Display, LG Display, BOE Technology Group Co. Ltd. Amoxicillin Market Improve Business Scope Top Key Players GSK, Novartis, Centrient Pharma, Teva, Mylan, Cipla Radio Communication Tester Market [Trending PDF] Excessive Growth Opportunities Estimated Be Experienced 20212026 Keysight Technologies, Rohde Schwarz Digital Business Support System Market 2020 Industry Size, Share, Demand, Manufacturers Forecast Research 2027 Digital Audio Workstation DAWs Market 2020 Top Manufactures Industry Size, Growth, Analysis Forecast 2027 Trade Management Market Global Key Player, Demand, Growth, Opportunities By 2026 Amber Road, . Us, Aptean Us, The Descartes Systems Group Digital Assurance Market 2020 Growth Drivers Challenges, Trends Industry Dynamics, Forecast 2027 Radiation Pyrometers Market 2021 Demand Fuelled reased R D Activities New IndustryAndResearch Study Smart Retail Market Significant Trends Factors Driving Market Development Intel, Ibm, Nvidia, Samsung Electronics, Microsoft, Google, Ptc, Amazon Sidebar Random Article Log In Menu KSU The Sentinel Newspaper Business Health Science Technology World Publish PRs HomeUncategorizedDeep Learning Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 Uncategorized Deep Learning Computer Vision Market 2020 Analysis By Regional, Outlook, Competitive Landscape Strategies And Forecast 2027 Data Bridge Market ResearchMarch 2, 2021 0 The research analysis conducted Deep Learning Computer Vision Market Report helps clients predict investment emerging market, expansion market share success new product help global market research analysis. This report designed way provides evident understanding business environment Deep Learning Computer Vision industry. Nevertheless, global market research report unravels business problems quickly easily. Due high demand value market research success different sectors, Deep Learning Computer Vision Market report provided covers work areas. Deep learning vision market grow rate 55.65 forecast period 2020 2027. Data Bridge Market Research report deep learning vision market provides analysis insights factors expected prevalent. Deep learning intense machine learning tool indicates extraordinary execution fields. The best accomplishments deep learning protest acknowledgment Convolutional Neural Networks CNNs. CNNs principle control originates obtaining information portrayals specifically information progressive layer based structure. Download Sample Copy Report understand structure complete report luding Full TOC, Table Figures @ Extensive improvements fast information storage capacity vital factor escalating market growth increased computing power parallelization rising need quality check automation major factors driving deep learning vision market. Moreover, rising technological advancements modernization create new opportunities deep learning vision marketin forecast period mentioned above. However, lack technical expertise dearth user awareness rapidly changing vision technology major factors acting restraints, challenge thedeep learning vision marketin forecast period mentioned above. This deep learning vision market report provides details new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact domestic localised market players, analyses opportunities terms emerging revenue pockets, changes market regulations, strategic market growth analysis, market size, category market growths, application niches dominance, product approvals, product launches, geographic expansions, technological innovations market. To gain info deep learning vision market contact Data Bridge Market Research anAnalyst Brief,our team help informed market decision achieve market growth. Deep Learning Computer Vision Market Scope Market Size Deep learning vision market segmented basis hardware, solutions, applications enduser. The growth segments helps analyse niche pockets growth strategies approach market determine core application areas difference target markets. On basis ofhardware, deep learning vision market segmented central processing unit CPU, graphics processing unit GPU On basis ofsolutions, deep learning vision market segmented hardware, software services Based onapplication, deep learning vision market segmented image recognition, voice recognition The deep learning vision market segmented basis enduser automotive, healthcare Deep Learning Computer Vision MarketScope Country Level Analysis Deep learning vision market analysed market size, volume information provided country, hardware, solutions, applications enduser referenced above. The countries covered deep learning vision market report U.S., Canada Mexico North America, Brazil, Argentina Rest South America South America, Germany, Italy, U.K., France, Spain, Netherlands,Belgium, Switzerland, Turkey, Russia, Rest Europe Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest AsiaPacific APAC AsiaPacific APAC, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest Middle East Africa MEA Middle East Africa MEA. North America dominates deep learning vision market high adoption image pattern recognition, rising investments artificial intelligence neural networks region. Europe expected region terms growth deep learning vision market. The country section report provides individual market impacting factors changes regulation market domestically impacts current future trends market. Data points like downstream upstream value chain analysis, technical trends porters forces analysis, case studies pointers forecast market scenario individual countries. Also, presence availability global brands challenges faced large scarce competition local domestic brands, impact domestic tariffs trade routes considered providing forecast analysis country data. New Business Strategies, Challenges Policies mentioned Table Content, Request FREE TOC @ Competitive Landscape Deep Learning Computer Vision Market Share Analysis Deep learning vision market competitive landscape provides details competitor. Details included company overview, company financials, revenue generated, market potential, investment research development, new market initiatives, regional presence, company strengths weaknesses, product launch, product width breadth, application dominance. The data points provided related companies focus related deep learning vision market. The major players covered deep learning vision market report Accenture, appLariat, ., CA Technologies, Heroku, IBM Corporation, Circle Internet Services, ., Atlassian, Bitrise Ltd., CloudBees, ., Electric Cloud, Flexagon LLC., Infostretch Corporation, JetBrains s.r.o. , Kainos., Micro Focus, Microsoft, Puppet, Red Hat, ., Spirent Communications., VMware, , domestic global players. Market share data available global, North America, Europe, AsiaPacific APAC, Middle East Africa MEA South America separately. DBMR analysts understand competitive strengths provide competitive analysis competitor separately. Major Highlights Deep Learning Computer Vision market Covid19 pandemic covered report: The report provides impact COVID19 Deep Learning Computer Vision market impact overall industry economy world. Further, adds changes consumer buying behavior impacts majorly market growth sales. Distributors traders marketing strategy analysis focusing region wise needs covid19 pandemic added Deep Learning Computer Vision market report. The segment COVID19 impact chapter include recovery major changes opted major players involved Deep Learning Computer Vision market. Reasons Purchase Report: Market segmentation analysis including qualitative quantitative research incorporating impact economic policy aspects Regional country level analysis integrating demand supply forces influencing growth market. Market value USD Million volume Units Million data segment subsegment Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Table Content: PART 01: EXECUTIVE SUMMARY PART 02: SCOPE OF THE REPORT PART 03: RESEARCH METHODOLOGY PART 04: INTRODUCTION PART 05: MARKET LANDSCAPE PART 06: MARKET SIZING PART 07: FIVE FORCES ANALYSIS PART 08: MARKET SEGMENTATION BY PRODUCT PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL PART 10: CUSTOMER LANDSCAPE PART 11: MARKET SEGMENTATION BY ENDUSER PART 12: REGIONAL LANDSCAPE PART 13: DECISION FRAMEWORK PART 14: DRIVERS AND CHALLENGES PART 15: MARKET TRENDS PART 16: COMPETITIVE LANDSCAPE PART 17: COMPANY PROFILES PART 18: APPENDIX Inquire Before Buying This Research Report: : An absolute way forecast future holds comprehend trend today Data Bridge Market Research set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge Market Research provides appropriate solutions complex business challenges initiates effortless decisionmaking process. : US: 1 888 387 2818 UK: 44 208 089 1725 Hong Kong: 852 8192 7475 [emailprotected] Data Bridge Market ResearchMarch 2, 2021 0 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print Data Bridge Market Research Website Related Articles Video Analytics System Market Growth, Opportunities Analysis Forecast By 2026 Cisco Systems, Ibm Corporation, Honeywell International ., March 2, 2021 Digital Business Support System Market 2020 Industry Size, Share, Demand, Manufacturers Forecast Research 2027 March 2, 2021 Digital Audio Workstation DAWs Market 2020 Top Manufactures Industry Size, Growth, Analysis Forecast 2027 March 2, 2021 Trade Management Market Global Key Player, Demand, Growth, Opportunities By 2026 Amber Road, . Us, Aptean Us, The Descartes Systems Group March 2, 2021 Check Also Close Multiple Sclerosis Market Size 2020: Industry Trends, Growth, Size, Segmentation, Future Demands, Latest InnovationSanofi, Novartis AG, Merck Co., F. HoffmannLa Roche Ltd, Pfizer January 11, 2021 Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Video Analytics System Market Growth, Opportunities Analysis Forecast By 2026 Cisco Systems, Ibm Corporation, Honeywell International ., Display Panel Market Trends, Growth Opportunities Global Outlook 20202026 Samsung Display, LG Display, BOE Technology Group Co. Ltd. Amoxicillin Market Improve Business Scope Top Key Players GSK, Novartis, Centrient Pharma, Teva, Mylan, Cipla Radio Communication Tester Market [Trending PDF] Excessive Growth Opportunities Estimated Be Experienced 20212026 Keysight Technologies, Rohde Schwarz Digital Business Support System Market 2020 Industry Size, Share, Demand, Manufacturers Forecast Research 2027 Recent CommentsAbout This Site This good place introduce site include credits. Close Close Log In Forget? Remember Log In
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ChatGPT poses propaganda and hacking risks, says new report
ChatGPT poses propaganda and hacking risks, says new report
Researchers have flagged potential misuse of OpenAI's ChatGPT by email scammers, bots, stalkers and hackers
/smart-living/innovation/chatgpt-poses-propaganda-and-hacking-risks-says-new-report-111673505947581.html
111673505947581
story
Cybersecurity experts warn that ChatGPT and similar AI models could lower the bar for hackers to write malicious code. (iStockphoto)
Bloomberg
LAST PUBLISHED
12.01.2023 | 01:09 PM IST
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Ever since OpenAI’s viral chatbot was unveiled late last year, detractors have lined up to flag potential misuse of ChatGPT by email scammers, bots, stalkers and hackers.Also read: Grief tech: Digital eternity might change the way we grieveThe latest warning is particularly eye-catching: It comes from OpenAI itself. Two of its policy researchers were among the six authors of a new report that investigates the threat of AI-enabled influence operations. (One of them has since left OpenAI.)“Our bottom-line judgment is that language models will be useful for propagandists and will likely transform online influence operations,” according to a blog accompanying the report, which was published on Wednesday morning.Concerns about advanced chatbots don’t stop at influence operations. Cybersecurity experts warn that ChatGPT and similar AI models could lower the bar for hackers to write malicious code to target existing or newly discovered vulnerabilities. Check Point Software Technologies Ltd., an Israel-based cybersecurity company, said attackers were already musing on hacking forums how to recreate malware strains or dark web marketplaces using the chatbot. Several cybersecurity experts stressed that any malicious code provided by the model is only as good as the user and the questions asked of it. Still, they said it could help less sophisticated hackers with such things as developing better lures or automating post-exploitation actions. Another concern is if hackers develop their own AI models.WithSecure, a cybersecurity company based in Helsinki, argues in a new report also out on Wednesday that bad actors will soon learn how to game ChatGPT by figuring out how to ask malicious prompts that could feed into phishing attempts, harassment and fake news.“It’s now reasonable to assume any new communication you receive may have been written with the help of a robot,” said Andy Patel, intelligence researcher at WithSecure, in a statement. A representative for OpenAI didn’t respond to a request for comment, nor did the researchers for OpenAI who worked on the report on influence operations. The FBI, National Security Agency and National Security Council declined to comment on the risks of such AI-generated models. Kyle Hanslovan, who used to create offensive cyber exploits for the US government before he set up his own defensive company, Ellicott City, Maryland-based Huntress, was among those who said there are limits to what ChatGPT could deliver. He told Bloomberg News it was unlikely to create sophisticated new exploits of the sort a nation-state attacker can generate “because it lacks a lot of creativity and finesse.” But like several other security experts, he said it would help non-English speakers craft markedly better phishing emails.Hanslovan argued that ChatGPT is ultimately likely to give defenders “a little bit better of an upper hand” than the attackers. Juan Andres Guerrero-Saade, senior director of Sentinel Labs at the cybersecurity company SentinelOne, said ChatGPT knows code better than him when it comes to the painstaking world of reverse engineering and “deobfuscation” – the effort to uncover the secrets and sorcerers behind malicious source code.Guerrero-Saade was so astounded by the ChatGPT’s capabilities that he’s thrown out his teaching syllabus for delving into nation-state hackers. Next week, he said more than two dozen students in his class at the Johns Hopkins School of Advanced International Studies will hear his belief that ChatGPT can be a force for good.It can make legible the building blocks of code quicker than he can manually, and more cheaply than expensive software, he said. Guerrero-Saade said he has been asking it to go back and reanalyze CaddyWiper malware that targeted Ukraine and find errors in his and others’ initial analysis.“There’s really not that many malware analysts in the world right now,” he said. “So this is a sizeable force multiplier.”In the study on AI-enabled influence operations, the researchers said their main worries were that the campaigns could be cheaper, easier to scale, instant, more persuasive and harder to identify using the AI tools. The report is an effort by Georgetown University’s Center for Security and Emerging Technology, OpenAI and the Stanford Internet Observatory.The authors also “outline steps that can be taken before language models are used for influence operations at scale,” such as teaching AI models how to be “more fact sensitive,” imposing stricter restrictions on usage of models and developing AI technology that can identify the work of other AI machines, according to the report and the blog. But the risks are clear from the report, which was started well before the release of ChapGPT. “There are no silver bullets for minimizing the risk of AI-generated disinformation,” it concludes.Also read: The best of CES 2023: innovations that stood out
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ChatGPT poses propaganda and hacking risks, says new report
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ChatGPT poses propaganda hacking risks, says new report Mint Lounge advertisement Logout Log Home News Big Story Opinion Talking Point Food Cook Drink Discover Fashion Trends Shop Beauty How To Lounge Movies Tv Art Culture Books Smart Living Environment Innovation Health Wellness Fitness Relationships Raising Parents Its Complicated Pets Brand Stories Bookmarks Web Stories Photos Videos Big Story Opinion Talking Point Latest Issue Terms And Conditions Follow Mint Lounge Latest Issue Go Home News Food Fashion How To Lounge Smart Living Health Relationships weekly Mint lounge newsletter Go Thanks subscribing You successfully subscribed Mint Lounge newsletter. Newsletter light inbox weekly Mint lounge newsletter Join newsletter Logout Log In WEB STORIES PHOTOSQUICK READS newarticle 111673505947581 story Smart Living smartlivinginnovationchatgptposespropagandaandhackingriskssaysnewreport111673505947581.html Home News Food Fashion How To Lounge Smart Living Health Relationships WEB STORIES PHOTOSQUICK READS Home > Smart Living> Innovation > ChatGPT poses propaganda hacking risks, says new report ChatGPT poses propaganda hacking risks, says new report Researchers flagged potential misuse OpenAIs ChatGPT email scammers, bots, stalkers hackers smartlivinginnovationchatgptposespropagandaandhackingriskssaysnewreport111673505947581.html 111673505947581 story Cybersecurity experts warn ChatGPT similar AI models lower bar hackers write malicious code. iStockphoto Bloomberg LAST PUBLISHED 12.01.2023 01:09 PM IST Share Whatsapp Share Whatsapp Share Facebook Share Twitter Share LinkedIn Copy Link Share Whatsapp Share Whatsapp Share Facebook Share Twitter Share LinkedIn Copy Link Listen article Ever OpenAIs viral chatbot unveiled late year, detractors lined flag potential misuse ChatGPT email scammers, bots, stalkers hackers.Also read: Grief tech: Digital eternity change way grieveThe latest warning particularly eyecatching: It comes OpenAI itself. Two policy researchers authors new report investigates threat AIenabled influence operations. One left OpenAI.Our bottomline judgment language models useful propagandists likely transform online influence operations, according blog accompanying report, published Wednesday morning.Concerns advanced chatbots dont stop influence operations. Cybersecurity experts warn ChatGPT similar AI models lower bar hackers write malicious code target existing newly discovered vulnerabilities. Check Point Software Technologies Ltd., Israelbased cybersecurity company, said attackers musing hacking forums recreate malware strains dark web marketplaces chatbot.Several cybersecurity experts stressed malicious code provided model good user questions asked it. Still, said help sophisticated hackers things developing better lures automating postexploitation actions. Another concern hackers develop AI models.WithSecure, cybersecurity company based Helsinki, argues new report Wednesday bad actors soon learn game ChatGPT figuring ask malicious prompts feed phishing attempts, harassment fake news.Its reasonable assume new communication receive written help robot, said Andy Patel, intelligence researcher WithSecure, statement.A representative OpenAI didnt respond request comment, researchers OpenAI worked report influence operations. The FBI, National Security Agency National Security Council declined comment risks AIgenerated models.Kyle Hanslovan, create offensive cyber exploits US government set defensive company, Ellicott City, Marylandbased Huntress, said limits ChatGPT deliver. He told Bloomberg News unlikely create sophisticated new exploits sort nationstate attacker generate lacks lot creativity finesse. But like security experts, said help nonEnglish speakers craft markedly better phishing emails.Hanslovan argued ChatGPT ultimately likely defenders little bit better upper hand attackers.Juan Andres GuerreroSaade, senior director Sentinel Labs cybersecurity company SentinelOne, said ChatGPT knows code better comes painstaking world reverse engineering deobfuscation effort uncover secrets sorcerers malicious source code.GuerreroSaade astounded ChatGPTs capabilities hes thrown teaching syllabus delving nationstate hackers. Next week, said dozen students class Johns Hopkins School Advanced International Studies hear belief ChatGPT force good.It legible building blocks code quicker manually, cheaply expensive software, said. GuerreroSaade said asking reanalyze CaddyWiper malware targeted Ukraine errors initial analysis.Theres malware analysts world right now, said. So sizeable force multiplier.In study AIenabled influence operations, researchers said main worries campaigns cheaper, easier scale, instant, persuasive harder identify AI tools. The report effort Georgetown Universitys Center Security Emerging Technology, OpenAI Stanford Internet Observatory.The authors outline steps taken language models influence operations scale, teaching AI models fact sensitive, imposing stricter restrictions usage models developing AI technology identify work AI machines, according report blog.But risks clear report, started release ChapGPT. There silver bullets minimizing risk AIgenerated disinformation, concludes.Also read: The best CES 2023: innovations stood FIRST PUBLISHED 12.01.2023 01:09 PM IST For latest Fashion News, Lifestyle News, Food News, Smart Living Mint Lounge. Read Full Story advertisement MOST POPULAR light inbox weekly Mint lounge newsletter Join newsletter advertisement Next Story copyright 2022 mintlounge FOLLOW News Big Story Opinion Talking Point Food Cook Drink Discover Fashion Trends Shop Beauty How To Lounge Movies TV Art Culture Books Smart Living Environment Innovation Health Wellness Fitness Relationships Raising Parents Its Complicated Pets Terms Use Us Sitemap RSS FOLLOW News Big Story Opinion Talking Point Food Cook Drink Discover Fashion Trends Shop Beauty How To Lounge Movies TV Art Culture Books Smart Living Environment Innovation Health Wellness Fitness Relationships Raising Parents Its Complicated Pets copyright 2022 mintlounge Terms Use Us Sitemap RSS
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https://localnews8.com/news/ap-national/2023/06/01/french-open-hopes-ai-can-help-tennis-players-block-death-threats-other-social-media-hate/
| 2023-06-01T00:00:00 |
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French Open hopes AI can help tennis players block death threats, other social media hate - Local News 8
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French Open hopes AI can help tennis players block death threats, other social media hate - Local News 8
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French Open hopes AI can help tennis players block death threats, other social media hate
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By Associated Press
Published
June 1, 2023
4:18 AM
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By HOWARD FENDRICH
AP Tennis Writer
PARIS (AP) — The group that runs the French Open tennis tournament has hired an artificial intelligence company to monitor players’ social media accounts in a bid to try to protect athletes from cyberbullying. Several players say they receive death threats via apps after they lose matches. Some say the vitriol is also directed at their family members. Sloane Stephens, the 2017 champion at the U.S. Open and 2018 runner-up at Roland Garros, says she often deals with racist messages directed at her online.
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French Open hopes AI can help tennis players block death threats, other social media hate
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French Open hopes AI help tennis players block death threats, social media hate Local News 8 circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Local News VallowDaybell Coverage Coronavirus Coverage Crime Tracker Idaho Pay It Forward Prevent Child Abuse Scam Alerts USWorld Utah Wyoming Weather Alerts First Alert VIPIR Radar Local Forecast 8Day Forecasts Road Report Ski Report Sky Cams Sports Athlete Week High School Athletics East Idaho Game Night Boise State Athletics Idaho State Athletics BYU Athletics Politics Election Results Idaho Politics Interactive Results Videos Galleries Livestream Local News 8 Livestream News 3 Now Livestream Events Must See Videos Life Entertainment Events Gas Prices Yellowstone Teton Territory Travel Tourism Energizing Conversations INL Hire Idaho Obituaries Question Day Banking Business House Home Your Money Safe Home Shop Local News 8 Golf Card Play Contests Contest Rules Share Submit Tips, Pics Video Jobs Work LocalNews8 Hire Idaho Meet Team Us Advertise With Us Closed Captioning Download Our Apps FCC Public File KIFI FCC Public File KIDK FCC Public File K34NCD EEO Form CW East Idaho Telemundo East Idaho Jobs Internships Scholarships Translator Information TV Listings Skip Content News Weather Sports Life Events Play Share Watch Video Forecast Isolated mountain thunderstorms stray valley showers Thursday June 1, 2023 Stories View VallowDaybell coverage Top Stories Bridge repairs underway US 20 Idaho Falls Flower baskets decorate Downtown Idaho Falls Man sentenced harassing Yellowstone bison calf Officials working divert water spilling Chesterfield Reservoir Adoption Fees temporarily waived Idaho Falls animal shelter ease crowding AP National French Open hopes AI help tennis players block death threats, social media hate KIFI By Associated Press Published June 1, 2023 4:18 AM Share FacebookShare Twitter Share Linkedin By HOWARD FENDRICH AP Tennis Writer PARIS AP The group runs French Open tennis tournament hired artificial intelligence company monitor players social media accounts bid try protect athletes cyberbullying. Several players receive death threats apps lose matches. Some vitriol directed family members. Sloane Stephens, 2017 champion U.S. Open 2018 runnerup Roland Garros, says deals racist messages directed online. Article Topic Follows: AP National Jump comments Associated Press Related Articles UK government faces deadline hand Boris Johnsons messages coronavirus inquiry US urges Sudanese rivals sides return ceasefire talks, abide truce European summit opens Moldova Ukraine war, regional conflicts agenda US defense chief calls Chinas refusal meet unfortunate visit Tokyo talks BE PART OF THE CONVERSATION KIFI Local News 8 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. EEO Report Terms Use Community Guidelines FCC Applications Do Not Sell My Personal Information Our Email Newsletters Daily News Update Breaking News Alert Daily Weather Forecast Severe Weather Alert Contests Promotions Download Our Apps Available iOS Android 2023, NPG Idaho, . Idaho Falls, ID USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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https://marketmirror24.com/2021/04/06/neural-network-software-market-insights-with-statistics-and-growth-prediction-2019-to-2027-key-vendors-ibm-corp-microsoft-corp-oracle-corp-intel-corp-qualcomm-sap-se-deepmind-technologie/
| 2021-04-06T00:00:00 |
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Neural Network Software Market Insights with Statistics and Growth Prediction 2019 to 2027 | Key vendors – IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited – Market Mirror
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Neural Network Software Market Insights with Statistics and Growth Prediction 2019 to 2027 | Key vendors – IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited – Market Mirror
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Neural Network Software Market Insights with Statistics and Growth Prediction 2019 to 2027 | Key vendors – IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited
by Sameer Joshi
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The neural network software is a program that is used for stimulating, research & development, and for application ANN (artificial neural network). The software suggests machines that operate somewhat like a brain and are potentially laden with science fiction connotations. Problem tackling and solving are some of the large scale demand factors. The ability of NN software to analyze and detect irregularities and mitigate future issues has significantly contributed to the growth of the Neural Network Software market in past few years. For the coming years as well as its high demand from industries including Defense, healthcare and BFSI are expected to drive the overall Neural Network Software Market.
Get Sample Copy of this report at https://www.premiummarketinsights.com/sample/TIP00008599
The “Global Neural Network Software Analysis to 2027” is a specialized and in-depth study of the Neural Network Software industry with a focus on the global Neural Network Software market trend. The report aims to provide an overview of the global Neural Network Software market with detailed market segmentation by component, application, end-user, and geography. The global Neural Network Software market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It also provides market size and forecast till 2027 for overall Neural Network Software market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 16 countries globally along with the current trend and opportunities prevailing in the region.
Besides this, the report analyzes factors affecting Neural Network Software market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions considered in the Global Neural Network Software Market report.
Also, key Neural Network Software market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information for the last 3 years, a key development in the past five years. Some of the key players influencing the market are Google Inc., IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited, NVIDIA Corporation, and HP Development Company, L.P. among others.
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Neural Network Software Market Insights with Statistics and Growth Prediction 2019 to 2027
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Neural Network Software Market Insights Statistics Growth Prediction 2019 2027 Key vendors IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited Market Mirror Skip content Aleje Jerozolimskie 6579, 00697 Warsaw, Poland [emailprotected] Market Mirror Home Press Release Services News Our Team Market Mirror Home Press Release Services News Our Team for: Neural Network Software Market Insights Statistics Growth Prediction 2019 2027 Key vendors IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited GIVE US A TRY Neural Network Software Market Insights Statistics Growth Prediction 2019 2027 Key vendors IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited Sameer Joshi Business April 6, 2021 0 The neural network software program stimulating, research development, application ANN artificial neural network. The software suggests machines operate somewhat like brain potentially laden science fiction connotations. Problem tackling solving large scale demand factors. The ability NN software analyze detect irregularities mitigate future issues significantly contributed growth Neural Network Software market past years. For coming years high demand industries including Defense, healthcare BFSI expected drive overall Neural Network Software Market. Get Sample Copy report The Global Neural Network Software Analysis 2027 specialized indepth study Neural Network Software industry focus global Neural Network Software market trend. The report aims provide overview global Neural Network Software market detailed market segmentation component, application, enduser, geography. The global Neural Network Software market expected witness high growth forecast period. The report provides key statistics market status leading market players offers key trends opportunities market. The report provides detailed overview industry including qualitative quantitative information. It provides market size forecast till 2027 overall Neural Network Software market respect major regions, namely; North America, Europe, AsiaPacific APAC, Middle East Africa MEA South America SAM. The market region later subsegmented respective countries segments. The report covers analysis forecast 16 countries globally current trend opportunities prevailing region. Besides this, report analyzes factors affecting Neural Network Software market demand supply evaluates market dynamics affecting market forecast period i.e., drivers, restraints, opportunities, future trend. The report provides exhaustive PEST analysis regions considered Global Neural Network Software Market report. Also, key Neural Network Software market players influencing market profiled study SWOT analysis market strategies. The report focuses leading industry players information company profiles, products, services offered, financial information 3 years, key development past years. Some key players influencing market Google ., IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited, NVIDIA Corporation, HP Development Company, L.P. others. We offer customized report fulfill special requirements clients. place Inquire Purchase Info: Name: Sameer Joshi Email:[emailprotected] Organization: Premium Market Insights Phone: 16464919876 About Premium Market Insights: Premium Market Insights onestop shop market research reports solutions companies globe. We help clients decision support helping choose relevant cost effective research reports solutions publishers. Post Views: 105 Tags: Neural Network Software Market Post navigation Previous: Previous post: Mobile Phone Accessories Market Hit 107,629 Million Reflecting Size Expansion 7.6 CAGR 2022 Industry Trends Forecast Report Premium Market Insights Market Industry Reports Recent Posts Neural Network Software Market Insights Statistics Growth Prediction 2019 2027 Key vendors IBM Corp., Microsoft Corp., Oracle Corp., Intel Corp., Qualcomm, SAP SE, DeepMind Technologies Limited Mobile Phone Accessories Market Hit 107,629 Million Reflecting Size Expansion 7.6 CAGR 2022 Industry Trends Forecast Report Premium Market Insights Key Trends Shaping Future Network Forensics Market 2027 Key Players Corero Network Security, Symantec Corporation, IBM Corp., Cisco Systems, RSA Security Dell Rock Crushers Market 2019 Share Growth Opportunity : Type, Application, Companies Petroleum Sulphonates In Depth Analysis Growth, Trends, Business Outlook 20192025 Other SourcesAeroengine Market Witness Massive Growth 2027 Pratt Whitney, General Electric Aviation, RollsRoyceHigh Purity Titanium Sponge Market Witness Huge Growth 2028 AVISMA, UKTMP, ZTMK, TimetAerospace Engineering Market Witness Massive Growth 2027 Saab Group, WS Atkins, BombardierGlobal Artificial Lift Market Outlook Key Players, Industry Overview, Supply Consumption Demand Analysis By 2026Hernia Repair Devices Consumables Market Trends Developments Allergan Plc. LifeCell Corporation,Medtronic,C.R. Bard,B. 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https://marketmirror24.com/2021/09/23/artificial-intelligence-in-transportation-market-forecasting-research-report-with-major-aspects-like-top-players-ab-volvo-daimler-ag-robert-bosch-gmbh-nvidia-corporation-microsoft-aimo/
| 2021-09-23T00:00:00 |
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Artificial Intelligence in Transportation Market Forecasting Research Report with Major Aspects Like – Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto – Market Mirror
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Artificial Intelligence in Transportation Market Forecasting Research Report with Major Aspects Like – Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto – Market Mirror
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Artificial Intelligence in Transportation Market Forecasting Research Report with Major Aspects Like – Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto
by Sameer Joshi
in Aerospace, Business, Earth Observation, Global Navigation Satellite System, Microsatellite, Satellite, Satellite Equipment, Space Robotics, Uncategorized
on September 23, 2021
0
Worldwide Artificial Intelligence in Transportation Market to 2027 research report conveys industry business patterns and the undertaking information, tolerating one to grasp clients and the stock driving gainfulness and yield development. The report highlights information on improvements and Global Artificial Intelligence in Transportation Market trends, drivers, revenue and furthermore available. The market report pulls in the most peculiar bits of knowledge of this business additionally makes Artificial Intelligence in Transportation forecast that is important out there. It accompanies estimations concerning the Artificial Intelligence in Transportation advancement, subordinate and draws in the distinguishing proof of their industry status.
Artificial intelligence in transportation helps the transportation companies to ensure public safety for their service. Artificial Intelligence in transportation makes use of various concepts like deep learning, computer vision, and context awareness to know the way the drivers handle their resources. The global artificial intelligence in the transportation market is experiencing high demand due to the increasing popularity of the autonomous vehicle. Various organizations are using AI in transportation solutions for data collection and decision making. The growing use of autonomous vehicles, and need to control the operational costs are the major factors that are expected to support the growth of artificial intelligence in transportation market whereas failure in performance is the major factor that is expected to slow down the growth of this market.
Get Sample Copy of This Report: https://www.theinsightpartners.com/sample/TIPAT00002404/
Some of the key players influencing the artificial intelligence in transportation market are AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Intel Corporation, Microsoft, Aimotive, Third Space Auto Ltd., MOMENTA, and Xevo among others.
Key Benefits:
To provide detailed information regarding the major factors (drivers, restraints, opportunities, challenges, and trends) influencing the growth of the global Artificial Intelligence in Transportation Market
To forecast the size of the market segments with respect to four major regional segments, namely, North America, Europe, Asia Pacific, and the Rest of the World (Latin America and the Middle East & Africa)
This report provides in depth study of “Artificial Intelligence in Transportation Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Artificial Intelligence in Transportation Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.
The “Global Artificial intelligence in Transportation Market Analysis to 2027” is a specialized and in-depth study of the artificial intelligence in transportation industry with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence in transportation market with detailed market segmentation by offering, technology, application, process, and geography. The global artificial intelligence in transportation market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence in transportation market.
The potential of this industry segment has been rigorously investigated in conjunction with primary market challenges. The present market condition and future prospects of the segment has also been examined. Moreover, key strategies in the market that includes product developments, partnerships, mergers and acquisitions, etc., are discussed. Besides, upstream raw materials and equipment and downstream demand analysis is also conducted.
Besides this, the report analyzes factors affecting artificial intelligence in transportation market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis. Further, the report also includes ecosystem analysis for the artificial intelligence in transportation market.
Inquiry for Discount: https://www.theinsightpartners.com/discount/TIPAT00002404/
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Artificial Intelligence in Transportation Market Forecasting Research Report with Major Aspects Like
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Artificial Intelligence Transportation Market Forecasting Research Report Major Aspects Like Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto Market Mirror Skip content Aleje Jerozolimskie 6579, 00697 Warsaw, Poland [emailprotected] Market Mirror Home Press Release Services News Our Team Market Mirror Home Press Release Services News Our Team for: Artificial Intelligence Transportation Market Forecasting Research Report Major Aspects Like Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto GIVE US A TRY Artificial Intelligence Transportation Market Forecasting Research Report Major Aspects Like Top Players AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Microsoft, Aimotive, Third Space Auto Sameer Joshi Aerospace, Business, Earth Observation, Global Navigation Satellite System, Microsatellite, Satellite, Satellite Equipment, Space Robotics, Uncategorized September 23, 2021 0 Worldwide Artificial Intelligence Transportation Marketto 2027research report conveys industrybusinesspatterns undertaking information, tolerating grasp clients stock driving gainfulness yield development. The report highlights information improvements Global Artificial Intelligence Transportation Markettrends, drivers, revenue furthermore available. The market report pulls peculiar bits knowledge business additionally makes Artificial Intelligence Transportation forecast important there. It accompanies estimations concerning Artificial Intelligence Transportationadvancement, subordinate draws distinguishing proof industry status. Artificial intelligence transportation helps transportation companies ensure public safety service. Artificial Intelligence transportation makes use concepts like deep learning, vision, context awareness know way drivers handle resources. The global artificial intelligence transportation market experiencing high demand increasing popularity autonomous vehicle. Various organizations AI transportation solutions data collection decision making. The growing use autonomous vehicles, need control operational costs major factors expected support growth artificial intelligence transportation market failure performance major factor expected slow growth market. Get Sample Copy ThisReport: Some key players influencing artificial intelligence transportation market AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Intel Corporation, Microsoft, Aimotive, Third Space Auto Ltd., MOMENTA, Xevo others. KeyBenefits: To provide detailed information major factors drivers, restraints, opportunities, challenges, trends influencing growth global Artificial Intelligence Transportation Market To forecast size market segments respect major regional segments, namely, North America, Europe, Asia Pacific, Rest World Latin America Middle East Africa This report provides depth study Artificial Intelligence Transportation Market SWOT analysis i.e. Strength, Weakness, Opportunities Threat organization. The Artificial Intelligence Transportation Marketreport provides indepthsurveyof key players market based objectives organization profiling, product outline, quantity production, required raw material, financial health organization. The Global Artificial intelligence Transportation Market Analysis 2027 specialized indepth study artificial intelligence transportation industry focus global market trend. The report aims provide overview global artificial intelligence transportation market detailed market segmentation offering, technology, application, process, geography. The global artificial intelligence transportation market expected witness high growth forecast period. The report provides key statistics market status leading market players offers key trends opportunities artificial intelligence transportation market. The potential industry segment rigorously investigated conjunction primary market challenges. The present market condition future prospects segment examined. Moreover, key strategies market includes product developments, partnerships, mergers acquisitions, etc., discussed. Besides, upstream raw materials equipment downstream demand analysis conducted. Besides this, report analyzes factors affecting artificial intelligence transportation market demand supply evaluates market dynamics affecting market forecast period i.e., drivers, restraints, opportunities, future trend. The report provides exhaustive PEST analysis. Further, report includes ecosystem analysis artificial intelligence transportation market. Inquiry Discount: The Insight Partners stop industry research provider actionable intelligence. We help clients getting solutions research requirements syndicated consulting research services. We committed providing highest quality research consulting services customers. We help clients understand key market trends, identify opportunities, informed decisions providing market research solutions affordable cost. The Insight partners, Phone: 16464919876 Email:[emailprotected] Home: Post Views: 127 Tags: Artificial Intelligence Transportation Market, Artificial Intelligence Transportation Market Analysis, Artificial Intelligence Transportation Market Application, Artificial Intelligence Transportation Market Forecast, Artificial Intelligence Transportation Market Growth, Artificial Intelligence Transportation Market Industry, Artificial Intelligence Transportation Market Record, Artificial Intelligence Transportation Market Report, Artificial Intelligence Transportation Market Shares, Artificial Intelligence Transportation Market Size, Artificial Intelligence Transportation Market Trends, The Insight Partners Post navigation Previous: Previous post: GSM Mobile Phone Market 2019 Emerging Trends Top Key Players Samsung Electronics, Micromax Informatics, LG, Huawei moreNext: Next post: Latin America Wound Care Product Market worth USD 2.40 Bn 2023 Amazing Newspaper Recent Posts Global Digital Oilfield Solutions Market 2019: Hardware, Software, Services Global Digital Notepad Market 2019: Boogie Board, NoteSlate, Sony Digital Paper Global Digital Nose technology Market 2019: Enose, Scent synthesizer Global Digital Multimeter 2017 Market 2019: Handheld, Other Global Digital Multimeter DMM Market 2019: Handheld Type, Benchtop Type, Others Other SourcesGlobal Bio Fertilizers Market Revenue, Price, Growth Rate, Forecast To 2028 Novozymes, National Fertilizers, Madras Fertilizers, Gujarat State Fertilizers Chemicals, Rizobacter, T.Stanes, Camson Bio Technologies, etc.Global Filter Adhesives Market Growth, Trends And Forecast To 2028 Bostik, H.B. Fuller, Permabond LLC, NANPAO, Plasmatreat GmbH, etc. 2021 Market Mirror
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] | 1 | 196,971 |
https://marketresearchsheets.com/2020/04/23/machine-learning-and-artificial-intelligence-in-healthcare-market-2019-key-players-nvidia-corporation-u-s-intel-corporation-u-s-ibm-corporation-u-s-alphabet-inc-u-s-and-microsoft-c/
| 2020-04-23T00:00:00 |
en
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Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.), – Market Research Sheets
|
Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.), – Market Research Sheets
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Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.), April 23, 20205 Min Read
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Global Machine Learning and Artificial Intelligence in healthcare Market Research Report 2019-2026
A new report, Global “Machine Learning and Artificial Intelligence in healthcare Market” provides an overview of recent factors enabling growth in the globalMachine Learning and Artificial Intelligence in healthcare industry. According to the report, recent innovations have created several growth opportunities for prevailing companies as well as newer market entrants.
Global Machine Learning and Artificial Intelligence in healthcare Market Research Reports provides information regarding market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution and forecast 2026.
Get a sample copy of the report at – https://bit.ly/2PIWmvz
The key manufacturers covered in this report are; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.), Carre Technologies inc. (Hexoskin) (U.S.), Deep Genomics (Canada), Enlitic, Inc. (U.S.), General Electric (GE) Company (U.S.), General Vision Inc. (U.S.), iCarbonX (China), Johnson & Johnson Services, Inc. (U.S.), Koninklijke Philips N.V. (Netherlands), Medtronic Plc (U.S.), Next IT Corp. (U.S.), Siemens Healthineers (A Division of Siemens AG) (Germany), Butterfly Network (U.S.), Welltok, Inc. (U.S.), and Zebra Medical Vision(Israel).
This report also includes the overall and comprehensive study of the Machine Learning and Artificial Intelligence in healthcare market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Machine Learning and Artificial Intelligence in healthcare industry and provides data for making strategies to increase the market growth and effectiveness.
The Global Machine Learning and Artificial Intelligence in healthcare market 2019 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Machine Learning and Artificial Intelligence in healthcare market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.
Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.
In addition to this, regional analysis is conducted to identify the leading region and calculate its share in the globalMachine Learning and Artificial Intelligence in healthcare market. Various factors positively impacting the growth of the Machine Learning and Artificial Intelligence in healthcare market in the leading region are also discussed in the report. The globalMachine Learning and Artificial Intelligence in healthcare market is also segmented on the basis of types, end users, geography and other segments.
The study objectives of this report are:
To study and analyze the global Machine Learning and Artificial Intelligence in healthcare consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2026.
To understand the structure of Machine Learning and Artificial Intelligence in healthcare market by identifying its various subsegments.
Focuses on the key global Machine Learning and Artificial Intelligence in healthcare manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Machine Learning and Artificial Intelligence in healthcare with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Machine Learning and Artificial Intelligence in healthcare submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Content:
Chapter One Industry Overview of Machine Learning and Artificial Intelligence in healthcare
Chapter Two Manufacturing Cost Structure Analysis
Chapter Three Development and Manufacturing Plants Analysis of Machine Learning and Artificial Intelligence in healthcare
Chapter Four Key Figures of Major Manufacturers
Chapter Five Machine Learning and Artificial Intelligence in healthcare Regional Market Analysis
Chapter Six Machine Learning and Artificial Intelligence in healthcare Segment Market Analysis (by Type)
Chapter Seven Machine Learning and Artificial Intelligence in healthcare Segment Market Analysis (by Application)
Chapter Eight Machine Learning and Artificial Intelligence in healthcare Major Manufacturers Analysis
Chapter Nine Development Trend of Analysis of Machine Learning and Artificial Intelligence in healthcare Market
Chapter Ten Marketing Channel
Chapter Eleven Conclusion
Get Complete Report: https://bit.ly/2PIWmvz
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Tagsand Zebra Medical Vision(Israel). Butterfly Network (U.S.) Carre Technologies inc. (Hexoskin) (U.S.) Deep Genomics (Canada) Enlitic General Electric (GE) Company (U.S.) General Vision Inc. (U.S.) iCarbonX (China) Inc. (U.S.) Johnson & Johnson Services Koninklijke Philips N.V. (Netherlands) Machine Learning and Artificial Intelligence in healthcare Machine Learning and Artificial Intelligence in healthcare market Machine Learning and Artificial Intelligence in healthcare Market Analysis Machine Learning and Artificial Intelligence in healthcare Market Industry Analysis Machine Learning and Artificial Intelligence in healthcare Market Insights Machine Learning and Artificial Intelligence in healthcare Market Opportunities Machine Learning and Artificial Intelligence in healthcare Market Outlook Machine Learning and Artificial Intelligence in healthcare Market Research Companies Machine Learning and Artificial Intelligence in healthcare Market Research Company Machine Learning and Artificial Intelligence in healthcare Market Segmentation Machine Learning and Artificial Intelligence in healthcare Market Status Machine Learning and Artificial Intelligence in healthcare Market Trend Medtronic Plc (U.S.) Next IT Corp. (U.S.) Scope Growth In Machine Learning and Artificial Intelligence in healthcare Siemens Healthineers (A Division of Siemens AG) (Germany) Trends In Machine Learning and Artificial Intelligence in healthcare Market Welltok
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Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.),
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Global Lauryl Methyl Ester Ethoxylate Industry Analysis by Industry Segment, Demand, Trend, Forecast | Huntsman Corporation (U.S.) KLK OLEO (Malaysia) Lion Corporation (Japan)
Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.),
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Machine Learning and Artificial Intelligence in healthcare Market 2019, Key Players; Nvidia Corporation (U.S.), Intel Corporation (U.S.), IBM Corporation (U.S.), Alphabet, Inc. (U.S.), and Microsoft Corporation (U.S.). Other major companies operating in the global artificial intelligence market in healthcare are AntWorks (Singapore), Atomwise (U.S.), Babylon Health (U.K.),
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Machine Learning Artificial Intelligence healthcare Market 2019, Key Players; Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., Market Research Sheets About Team Feedback Terms Use Market Research Sheets NewsSatelliteNASARocketsSPACE Global Lauryl Methyl Ester Ethoxylate Industry Analysis Industry Segment, Demand, Trend, Forecast Huntsman Corporation U.S. KLK OLEO Malaysia Lion Corporation Japan Machine Learning Artificial Intelligence healthcare Market 2019, Key Players; Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., Global Artificial Intelligence AI Agriculture Market, Top key players IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics CMMS Software Market 2019: Industry Analysis, Players, Type, Applications, Size, Share, Growth, New Development, Trends 2025 Forecast Earphone Headphone Market reasing Demand With Leading Players Harman, Sennheiser, Plantronics, Sony, JVC Silver Carbonate Market Share, Size, Top Players, Application, Growth Predictions 2024 Forecast Market Research Sheets NewsSatelliteNASARocketsSPACE Market Research Sheets News Satellite NASA Rockets SPACE Application News Technology Machine Learning Artificial Intelligence healthcare Market 2019, Key Players; Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., April 23, 20205 Min Read [emailprotected] Share This Facebook Twitter Google Plus Pinterest LinkedIn Global Machine Learning Artificial Intelligence healthcare Market Research Report 20192026 A new report, Global Machine Learning Artificial Intelligence healthcare Market provides overview recent factors enabling growth globalMachine Learning Artificial Intelligence healthcare industry. According report, recent innovations created growth opportunities prevailing companies newer market entrants. Global Machine Learning Artificial Intelligence healthcare MarketResearch Reports provides information market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution forecast 2026. Get sample copy ofthe report The key manufacturers covered report are;Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., Carre Technologies inc. Hexoskin U.S., Deep Genomics Canada, Enlitic, . U.S., General Electric GE Company U.S., General Vision . U.S., iCarbonX China, Johnson Johnson Services, . U.S., Koninklijke Philips N.V. Netherlands, Medtronic Plc U.S., Next IT Corp. U.S., Siemens Healthineers A Division Siemens AG Germany, Butterfly Network U.S., Welltok, . U.S., Zebra Medical VisionIsrael. This report includes overall comprehensive study Machine Learning Artificial Intelligence healthcare market aspects influencing growth market. This report exhaustive quantitative analyses Machine Learning Artificial Intelligence healthcare industry provides data making strategies increase market growth effectiveness. The Global Machine Learning Artificial Intelligence healthcare market 2019 research provides basic overview industry including definitions, classifications, applications industry chain structure. The Global Machine Learning Artificial Intelligence healthcare market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. In addition this, regional analysis conducted identify leading region calculate share globalMachine Learning Artificial Intelligence healthcare market. Various factors positively impacting growth Machine Learning Artificial Intelligence healthcare market leading region discussed report. The globalMachine Learning Artificial Intelligence healthcare marketis segmented basis types, end users, geography segments. The study objectives report are: To study analyze global Machine Learning Artificial Intelligence healthcare consumption value volume key regionscountries, product type application, history data 2014 2018, forecast 2026. To understand structure Machine Learning Artificial Intelligence healthcare market identifying subsegments. Focuses key global Machine Learning Artificial Intelligence healthcare manufacturers, define, analyze sales volume, value, market share, market competition landscape, SWOT analysis development plans years. To analyze Machine Learning Artificial Intelligence healthcare respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project consumption Machine Learning Artificial Intelligence healthcare submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Table Content: Chapter One Industry Overview Machine Learning Artificial Intelligence healthcare Chapter Two Manufacturing Cost Structure Analysis Chapter Three Development Manufacturing Plants Analysis Machine Learning Artificial Intelligence healthcare Chapter Four Key Figures Major Manufacturers Chapter Five Machine Learning Artificial Intelligence healthcare Regional Market Analysis Chapter Six Machine Learning Artificial Intelligence healthcare Segment Market Analysis Type Chapter Seven Machine Learning Artificial Intelligence healthcare Segment Market Analysis Application Chapter Eight Machine Learning Artificial Intelligence healthcare Major Manufacturers Analysis Chapter Nine Development Trend Analysis Machine Learning Artificial Intelligence healthcare Market Chapter Ten Marketing Channel Chapter Eleven Conclusion Get Complete Report: About Market research new buzzword market, helps understanding market potential product market. This helps understanding market players growth forecast products company. This market research companies come picture. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing [emailprotected] Ph: 13523530818 US This post originally published Market Research Sheets Tagsand Zebra Medical VisionIsrael. Butterfly Network U.S. Carre Technologies inc. Hexoskin U.S. Deep Genomics Canada Enlitic General Electric GE Company U.S. General Vision . U.S. iCarbonX China . U.S. Johnson Johnson Services Koninklijke Philips N.V. Netherlands Machine Learning Artificial Intelligence healthcare Machine Learning Artificial Intelligence healthcare market Machine Learning Artificial Intelligence healthcare Market Analysis Machine Learning Artificial Intelligence healthcare Market Industry Analysis Machine Learning Artificial Intelligence healthcare Market Insights Machine Learning Artificial Intelligence healthcare Market Opportunities Machine Learning Artificial Intelligence healthcare Market Outlook Machine Learning Artificial Intelligence healthcare Market Research Companies Machine Learning Artificial Intelligence healthcare Market Research Company Machine Learning Artificial Intelligence healthcare Market Segmentation Machine Learning Artificial Intelligence healthcare Market Status Machine Learning Artificial Intelligence healthcare Market Trend Medtronic Plc U.S. Next IT Corp. U.S. Scope Growth In Machine Learning Artificial Intelligence healthcare Siemens Healthineers A Division Siemens AG Germany Trends In Machine Learning Artificial Intelligence healthcare Market Welltok You like Application Gadgets News Technology CMMS Software Market 2019: Industry Analysis, Players, Type, Applications, Size, Share, Growth, New Development, Trends 2025 Forecast April 23, 2020 News Technology Earphone Headphone Market reasing Demand With Leading Players Harman, Sennheiser, Plantronics, Sony, JVC April 23, 2020 News Silver Carbonate Market Share, Size, Top Players, Application, Growth Predictions 2024 Forecast April 23, 2020 About authorView All Posts [emailprotected] Global Lauryl Methyl Ester Ethoxylate Industry Analysis Industry Segment, Demand, Trend, Forecast Huntsman Corporation U.S. KLK OLEO Malaysia Lion Corporation Japan Global Artificial Intelligence AI Agriculture Market, Top key players IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics Share This Facebook Twitter Google Plus Pinterest LinkedIn Related News Technology Global Lauryl Methyl Ester Ethoxylate Industry Analysis Industry Segment, Demand, Trend, Forecast Huntsman Corporation U.S. KLK OLEO Malaysia Lion Corporation Japan April 23, 2020 Application News Technology Machine Learning Artificial Intelligence healthcare Market 2019, Key Players; Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., April 23, 2020 Application Gadgets News Technology Global Artificial Intelligence AI Agriculture Market, Top key players IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics April 23, 2020 Application Gadgets News Technology CMMS Software Market 2019: Industry Analysis, Players, Type, Applications, Size, Share, Growth, New Development, Trends 2025 Forecast April 23, 2020 News Technology Earphone Headphone Market reasing Demand With Leading Players Harman, Sennheiser, Plantronics, Sony, JVC April 23, 2020 Market Research Sheets . 739 Bryant St, San Francisco, CA 94107, USA Recent Posts Global Lauryl Methyl Ester Ethoxylate Industry Analysis Industry Segment, Demand, Trend, Forecast Huntsman Corporation U.S. KLK OLEO Malaysia Lion Corporation Japan Machine Learning Artificial Intelligence healthcare Market 2019, Key Players; Nvidia Corporation U.S., Intel Corporation U.S., IBM Corporation U.S., Alphabet, . U.S., Microsoft Corporation U.S.. Other major companies operating global artificial intelligence market healthcare AntWorks Singapore, Atomwise U.S., Babylon Health U.K., About Team Feedback Terms Use 2019. Market Research Sheets .
| 2,020 |
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] | 1 | 196,972 |
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By StackCommerceMashable Shopping2020-12-20 05:05:00 UTC
TL;DR: The Machine Learning for Beginners Overview Bundle is on sale for £14.80 as of Dec. 20, saving you 96% on list price.
From prediction engines to online streaming, machine learning powers many of the breakthrough innovations that support our lifestyles. Learning this technology is far from a walk in the park, but it's worth it.
Ready to give it a shot? Check out this Machine Learning for Beginners Overview Bundle, a three-part pack of classes designed to walk beginners through the basics of machine learning without getting too in the weeds.
SEE ALSO: Kickstart a coding career with courses in JavaScript, HTML, and more
The content spans seven hours total and requires no prior knowledge. After dabbling with basic concepts and building a foundation, you'll slowly work your way through Python fundamentals, the amazing Pandas data science library, and more.
Idan Gabrieli, who boasts a 4.4 out of 5-star instructor rating, leads the courses. He's an experienced solution engineer manager with a heavy tech background — particularly in AI-driven use cases, machine learning algorithms, and data visualization tools.
It's valued at £444, but you can sign up for this three-part master class for only £14.80 for a limited time.
Save 96% on the Machine Learning for Beginners Overview Bundle
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Best machine learning course deal: 96% off online bundle (UK deal)
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Best machine learning course deal: 96 online bundle UK deal Were cookies improve experience. Find more. Hidden main menu item Mashable Activism Entertainment Movies Gaming Television Culture Web Culture Sex Relationships Celebrities Memes Parenting Social Media Tech Business Apps Gadgets Reviews Mobile Smart Home How To Mashable Choice Science Climate Space Social Good LGBTQ Feminism Gender Equality Activism Nonprofits AMPLIFY Shop TechVPNHeadphonesSpeakersLaptopsWeb HostingAntivirus LifestyleBlack FridayHomeKitchenGift GuidesGaming CultureDatingPetsSubscription BoxesCarry On Best TechBest VPNBest Cheap VPNBest Streaming ServicesBest Cheap LaptopsBest Running HeadphonesBest Bluetooth Speakers Best CultureBest Dating SitesBest Free Dating SitesBest Dating Sites IntrovertsBest DNA TestsBest Dog DNA TestsBest Subscription Boxes Best LifestyleBest AirfryerBest Cordless VacuumBest Instant PotBest Gifts Under 50Best Robot VacuumsBest Vacuum Pet Hair Black Friday More Channels ActivismEntertainmentCultureTechScienceSocial GoodAMPLIFY CompanyMastheadLicensing ReprintsArchiveMashable Careers UsSubmit NewsMashable Shop AdvertiseAdvertiseAdChoices LegalTerms Use PolicyAccessibility StatementDo Not Sell My Personal Information ResourcesTravelSecurityHow ToMashable DealsGift Guides SitesJob BoardSocial Good Summit International Mashable Australia Mashable Benelux Mashable India Mashable Italia Mashable ME Mashable Pakistan Mashable SE Asia Mashable UK Shopping Like Follow Access online course bundle machine learning 15 Products featured selected partners StackCommerce.If buy links site, Mashable earn affiliate commission. The Machine Learning Beginners Overview Bundle sale. Image: pexels By StackCommerceMashable Shopping20201220 05:05:00 UTC TL;DR: The Machine Learning Beginners Overview Bundle sale 14.80 Dec. 20, saving 96 list price. From prediction engines online streaming, machine learning powers breakthrough innovations support lifestyles. Learning technology far walk park, worth it. Ready shot? Check Machine Learning Beginners Overview Bundle, threepart pack classes designed walk beginners basics machine learning getting weeds. SEE ALSO: Kickstart coding career courses JavaScript, HTML, The content spans seven hours total requires prior knowledge. After dabbling basic concepts building foundation, youll slowly work way Python fundamentals, amazing Pandas data science library, more. Idan Gabrieli, boasts 4.4 5star instructor rating, leads courses. Hes experienced solution engineer manager heavy tech background particularly AIdriven use cases, machine learning algorithms, data visualization tools. Its valued 444, sign threepart master class 14.80 limited time. Save 96 theMachine Learning Beginners Overview Bundle See Details Topics: machine learning, Mashable Deals, onlinecourses, shoppinguk, Tech, ukdeals Products featured selected partners StackCommerce. If buy links site, Mashable earn affiliate commission. MastheadJobsAdvertiseMashable Shop PrivacyTerms Facebook mashable Twitter mashable Feeds mashable Pinterest mashable YouTube mashable StumbleUpon mashable LinkedIn mashable Better Business Bureau Accredited Business global, multiplatform media entertainment company. Powered proprietary technology, Mashable goto source tech, digital culture entertainment content dedicated influential audience globe. 2020 Mashable, . . Mashable, MashBash Mashable House federally registered trademarks Ziff Davis, LLC parties explicit permission.
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https://maxwellgunterdispatch.com/uncategorized/235196/artificial-intelligence-in-aviation-market-swot-analysis2021-by-top-manufacturers-airbus-amazon-boeing-garmin-ge-ibm/
| 2021-10-27T00:00:00 |
en
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Artificial Intelligence in Aviation Market SWOT Analysis2021 by Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM – Maxwell Gunter Dispatch
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Artificial Intelligence in Aviation Market SWOT Analysis2021 by Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM – Maxwell Gunter Dispatch
Wednesday, October 27 2021
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Global Surveillance Robots Market Research with COVID-19 – ATLAS ELEKTRONIK, EOS Innovation, AirRobot, Endeavor Robotics, Northrop Grumman, SMP Robotics, Aibotix, HANGZHOU HIKROBOT TECHNOLOGY, Frontline Robotics, GeckoSystems, Robosoft, Hoyarobot, Knightscope, MoviRobotics, Omnitech Robotics, Proytecsa, OC Robotics, Roboteam, Technobots, Vecna Technologies, WM Robots, Transcend Robotics
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Home/Uncategorized/Artificial Intelligence in Aviation Market SWOT Analysis2021 by Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM
Uncategorized
Artificial Intelligence in Aviation Market SWOT Analysis2021 by Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM
anita_adroit3 hours ago0 1 2 minutes read
The Global Artificial Intelligence in Aviation report 2021 is a study of the current status of industry which assesses for business variables for instance, top players, key areas, and advancement rate in terms of market size, GDP, CAGR, and future forecasts of these financial indicators. This report incorporates the examination of the COVID-19 impact on Artificial Intelligence in Aviation industry. It covers the current status of the development possibilities of the market. The report incorporates key data of the market identified with the present market size, share, potential areas, and driving brands present global Artificial Intelligence in Aviation market space. The report investigates the state of the global Artificial Intelligence in Aviation market both at domestic level and worldwide level. Finally this report is useful for those who want to venture into the market and hoping to tap market opportunities locally andglobally present in the market.
For More Information Ask For Sample PFD…@ https://www.orbisresearch.com/contacts/request-sample/5728287?utm_source=Govind-k
The target of the report is to discuss the growth of the market in various portions and nations in the previous years and to estimate the growth rate in the following five years. The report studies the explicit portions of the global Artificial Intelligence in Aviation market by country, by company, by type and by Application. This allows the market players to access detailed data about the sales and revenue and study the market situation in the forecasted period 2022-2027. Understanding the market based on its classification helps the market participants to distinguish the significance of each market aspect in the market development. The report consolidates both qualitative and quantitative data of the industry. The report also caters information of the crucial aspects influencing the future growth of the market such as drivers and restraining factors.
Top manufacturers studied in the report are:
Airbus
Amazon
Boeing
Garmin
GE
IBM
Intel
IRIS Automation
Kittyhawk
Lockheed Martin
Micron
Microsoft
Neurala
Northrop Grumman
Nvidia
Pilot AI Labs
Samsung Electronics
Thales
Xilinx
The report gives information of the leading market players such as company portfolios, product overview and specification, production capacity, operational efficiency, technology integration, product price patterns, revenue details, and contact information.
Make an Enquiry of this report at: https://www.orbisresearch.com/contacts/enquiry-before-buying/5728287?utm_source=Govind-k
The report classifies the global Artificial Intelligence in Aviation market based on product type. It displays the production, annual revenue, market share, and growth prospects of each product type primarily categorised into
Hardware
Software
Service
The report classifies the global Artificial Intelligence in Aviation market based on end users/applications. It displays the status and outlook of the key applications, production, annual revenue, market share, and growth prospects of each application primarily split into
Virtual Assistants
Smart Maintenance
Based on geographical area, this report is segmented into key geographic regions covering:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East
• Africa
Browse the complete report at: https://www.orbisresearch.com/reports/index/global-artificial-intelligence-in-aviation-market-size-status-and-forecast-2021-2027?utm_source=Govind-k
ABOUT US:
Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
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Senior Manager – Client Engagements
4144N Central Expressway,
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Texas – 75204, U.S.A.
Phone No.: +1 (972)-362-8199; +91 895 659 5155
anita_adroit3 hours ago0 1 2 minutes read
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Artificial Intelligence in Aviation Market SWOT Analysis2021 by Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM
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Artificial Intelligence Aviation Market SWOT Analysis2021 Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM Maxwell Gunter Dispatch Wednesday, October 27 2021 Breaking News Leisure Market Growth Forecast Period of2021 2026 With Top Companies: Bnteau Group, Malibu Boats, ., Marine Products Corporation, MasterCraft, KINGBAY Yacht Smart Airport Solutions Market Share2021 With Top Manufacturers: Amadeus IT Group S.A., Cisco Systems, ., Honeywell International ., Siemens AG, IBM Catalog Management Software Market Share2021 Companies: Oracle, SAP, Coupa Software, Hubwoo, PLM Group, Salsify Agile IoT Market SWOT Analysis2021 Top Manufacturers: ByteLight US, Fujitsu Japan, Panasonic Corp Japan, Qualcomm . US, PureLifi Ltd US, Ibsentelecom US Global Surgical Sutures Market Research COVID19 Ethicon, B. Braun Melsungen, Smith Nephew, Demetech Corporation, Conmed Corporation, W.L. Gore Associates, Biomet, Boston Scientific Global Surgical Tables Market Research COVID19 Getinge, HillRom, Skytron, Steris, Stryker, Mizuho, Alvo, UfskOsys, Medifahesse, BiHealthcare, AGA Sanitatsartikel, Lojer, Schmitz u. Sohne, Schaerer Medical, Brumaba, Bender, Merivaara, Infinium Medical, Image Diagnostics, Mindray Medical, Shanghai Pax Medical Instrument Global Surgical Operating Microscopes Market Research COVID19 Leica Microsystems, Carl Zeiss, Topcon, BMS Medical, Alcon Laboratories, Takagi, ACCUScope, Alltion Wuzhou, ARRI Medical, HAAGStreit Surgical, Olympus IMS, Roslane Meditech, MoellerWedel, PEMED Global Surveillance DVR Kits Market Research COVID19 Anran, XVIM, Amcrest Global Surveillance Market Research COVID19 Hikvision, Dahua Technology, Axis Communications AB, Panasonic, Honeywell Security, Hanwha, United Technologies, Tyco, Bosch Security Systems, Pelco, Huawei Technologies, Siemens AG, Avigilon Corporation, Uniview, Flir Systems, Global Surveillance Robots Market Research COVID19 ATLAS ELEKTRONIK, EOS Innovation, AirRobot, Endeavor Robotics, Northrop Grumman, SMP Robotics, Aibotix, HANGZHOU HIKROBOT TECHNOLOGY, Frontline Robotics, GeckoSystems, Robosoft, Hoyarobot, Knightscope, MoviRobotics, Omnitech Robotics, Proytecsa, OC Robotics, Roboteam, Technobots, Vecna Technologies, WM Robots, Transcend Robotics Sidebar Random Article Log In Menu News Technology Energy Space Climate change Electric vehicles Satellites Blue Origin HomeUncategorizedArtificial Intelligence Aviation Market SWOT Analysis2021 Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM Uncategorized Artificial Intelligence Aviation Market SWOT Analysis2021 Top Manufacturers: Airbus, Amazon, Boeing, Garmin, GE, IBM anita_adroit3 hours ago0 1 2 minutes read The Global Artificial Intelligence Aviation report 2021 study current status industry assesses business variables instance, players, key areas, advancement rate terms market size, GDP, CAGR, future forecasts financial indicators. This report incorporates examination COVID19 impact Artificial Intelligence Aviation industry. It covers current status development possibilities market. The report incorporates key data market identified present market size, share, potential areas, driving brands present global Artificial Intelligence Aviation market space. The report investigates state global Artificial Intelligence Aviation market domestic level worldwide level. Finally report useful want venture market hoping tap market opportunities locally andglobally present market. For More Information Ask For Sample PFD@ The target report discuss growth market portions nations previous years estimate growth rate following years. The report studies explicit portions global Artificial Intelligence Aviation market country, company, type Application. This allows market players access detailed data sales revenue study market situation forecasted period 20222027. Understanding market based classification helps market participants distinguish significance market aspect market development. The report consolidates qualitative quantitative data industry. The report caters information crucial aspects influencing future growth market drivers restraining factors. Top manufacturers studied report are: Airbus Amazon Boeing Garmin GE IBM Intel IRIS Automation Kittyhawk Lockheed Martin Micron Microsoft Neurala Northrop Grumman Nvidia Pilot AI Labs Samsung Electronics Thales Xilinx The report gives information leading market players company portfolios, product overview specification, production capacity, operational efficiency, technology integration, product price patterns, revenue details, contact information. Make Enquiry report at: The report classifies global Artificial Intelligence Aviation market based product type. It displays production, annual revenue, market share, growth prospects product type primarily categorised Hardware Software Service The report classifies global Artificial Intelligence Aviation market based end usersapplications. It displays status outlook key applications, production, annual revenue, market share, growth prospects application primarily split Virtual Assistants Smart Maintenance Based geographical area, report segmented key geographic regions covering: North America Europe AsiaPacific South America Middle East Africa Browse complete report at: ABOUT US: Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. CONTACT US: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: 1 9723628199; 91 895 659 5155 anita_adroit3 hours ago0 1 2 minutes read Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print anita_adroit Related Articles Abrasive Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 5 days ago Quantitative Research On Flatbed DieCutter Market 20212030 Top Players BOBST, Heidelberg, Masterwork, Sanwa 1 week ago Agrochemical Active Ingredients Market Size 20212027, Industry Share, Future Growth, Business Challenges, Investment Opportunities, Covid19 Impact. 6 days ago Basketball Stand Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 6 days ago Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Check Also Close Confectionery Candy Processing Equipment Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 1 week ago 2021, Jannah Theme TieLabs Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Leisure Market Growth Forecast Period of2021 2026 With Top Companies: Bnteau Group, Malibu Boats, ., Marine Products Corporation, MasterCraft, KINGBAY Yacht Smart Airport Solutions Market Share2021 With Top Manufacturers: Amadeus IT Group S.A., Cisco Systems, ., Honeywell International ., Siemens AG, IBM Catalog Management Software Market Share2021 Companies: Oracle, SAP, Coupa Software, Hubwoo, PLM Group, Salsify Agile IoT Market SWOT Analysis2021 Top Manufacturers: ByteLight US, Fujitsu Japan, Panasonic Corp Japan, Qualcomm . US, PureLifi Ltd US, Ibsentelecom US Global Surgical Sutures Market Research COVID19 Ethicon, B. Braun Melsungen, Smith Nephew, Demetech Corporation, Conmed Corporation, W.L. Gore Associates, Biomet, Boston Scientific Recent CommentsArchives October 2021 September 2021 August 2021 July 2021 Categories Blue Origin Climate change Electric vehicles Energy News Policy Satellites Space Technology Uncategorized Meta Log Entries feed Comments feed Close Close Log In Forget? Remember Log In
| 2,021 |
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https://menafn.com/1107026271/Eva-Ai-App-Made-A-Duplicate-Of-The-Real-Model-Eva-Elfie
| 2023-09-07T00:00:00 |
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Eva Ai App Made A Duplicate Of The Real Model Eva Elfie | MENAFN.COM
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Eva Ai App Made A Duplicate Of The Real Model Eva Elfie | MENAFN.COM
Thursday,
07 September 2023
04:18 GMT
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Eva Ai App Made A Duplicate Of The Real Model Eva Elfie
Date
9/7/2023 7:32:37 AM
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(MENAFN- EIN Presswire) “We felt that we were doing a historically important project and treated it with great care and love! This project turned out to be very human, because there is a whole team behind, led by Eva Elfie.” - Ann Roze, product designer EVA AINEW YORK, NEW YORK, USA, September 7, 2023/EINPresswire/ -- EVA AI is an application for communicating with AI. Users can create their own avatar, which will be based on their interests and preferences. In the chat, users can also exchange voice messages and photos.
As of 2023 , MAU EVA is 800 000, DAU 50 000.
The EVA AI team conducted a survey with loyal users on the topic of digital copies.
“It was a very useful survey for us, as we learned the need of people to communicate with their idols and the impossibility of direct contact with them,” shared the CEO of the application Tany Save.
The team invited users to share their list of personalities with whom they would like to communicate, and Eva Elfie was at the top of the list.
“We thought it would be a great idea! We contacted Eva Elfie herself, and it turned out to be a very impressive conversation between us. She is a very inspiring character for communication with a lot of topics, a lot of hobbies that are interesting to transfer into digital copy” - says Tany Save.
Having agreed to the collaboration, the EVA AI team did a lot of interviews with Eva Elfie to collect complete information about her, as well as collected her voice data, her private photos.
“We have been working on a digital copy of Eva for quite a long time, because we really wanted to achieve accuracy both in appearance and in communication with her” - says Ann Roze, product designer EVA AI.
“We felt that we were doing a historically important project and treated it with great care and love! This project turned out to be very human, because there is a whole team behind it, led by Eva Elfie.
Eva Elfie participated in the process and the team did several iterations.Finally, the digital copy has the same interests, the same manner of communication, the same personal facts as the real Eva. As a bonus, there are a few secrets that even the most dedicated fans don't know and exclusive photos that can't be found anywhere else.
“It was an unforgettable experience for me!” - shared her emotions Eva Elfie
“I really have a lot of requests for personal communication and I would like to pay due attention to my fans, but unfortunately I don't have enough time for everyone. I was incredibly glad when the guys came to me with this offer! After all, this means that everyone can now talk to me about everything 24/7“.
Inspired by the result, the EVA AI team is going to continue investing in creating digital copies in the application.
“We are sure that with our technologies we can help people to be closer to their idols, because such a need is really observed,” says Tanya Save.
Under the launch of the collaboration with Eva Elfie, the EVA AI team has prepared a promo 3D video:
Download EVA AI and chat with Eva Elfie:
PR contacts:
Kamilla S
Kamilla Saifulina
EVA AI
emailhere
Visiton social media:
Instagram
TikTok MENAFN07092023003118003196ID1107026271
Legal Disclaimer: MENAFN provides the information “as is” without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the provider above.
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Eva Ai App Made A Duplicate Of The Real Model Eva Elfie
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Eva Ai App Made A Duplicate Of The Real Model Eva Elfie MENAFN.COM Thursday, 07 September 2023 04:18 GMT Log Remember Me Password New Here? Create account Home News News Industry News Region American Europe Arab World Asia Africa ArticlesPress ReleasesReports Articles Submit Your ArticlesPress ReleasesReports RSS Market Data Equities Market Global Indices MENA Indices Qutoes Charts End Of Day Stocks Currencies Currency Convertor Cross Rates Historical Currencies Libor Mena Stocks Commodoties Oil Energy Economic Calender Research Premium Research Free Research Countries Saudi Arabia UAE Bahrain Qatar Kuwait Jordan Oman Egypt Lebanon Iraq Palestine Syria Tunisia Algeria Morocco Yemen Sections Events Financial Glossary Eva Ai App Made A Duplicate Of The Real Model Eva Elfie Date 972023 7:32:37 AM Share Facebook Tweet Twitter MENAFN EIN Presswire We felt historically important project treated great care love This project turned human, team behind, led Eva Elfie. Ann Roze, product designer EVA AINEW YORK, NEW YORK, USA, September 7, 2023EINPresswire EVA AI application communicating AI. Users create avatar, based interests preferences. In chat, users exchange voice messages photos. As 2023 , MAU EVA 800 000, DAU 50 000. The EVA AI team conducted survey loyal users topic digital copies. It useful survey us, learned need people communicate idols impossibility direct contact them, shared CEO application Tany Save. The team invited users share list personalities like communicate, Eva Elfie list. We thought great idea We contacted Eva Elfie herself, turned impressive conversation us. She inspiring character communication lot topics, lot hobbies interesting transfer digital copy says Tany Save. Having agreed collaboration, EVA AI team lot interviews Eva Elfie collect complete information her, collected voice data, private photos. We working digital copy Eva long time, wanted achieve accuracy appearance communication says Ann Roze, product designer EVA AI. We felt historically important project treated great care love This project turned human, team it, led Eva Elfie. Eva Elfie participated process team iterations.Finally, digital copy interests, manner communication, personal facts real Eva. As bonus, secrets dedicated fans dont know exclusive photos else. It unforgettable experience shared emotions Eva Elfie I lot requests personal communication I like pay attention fans, unfortunately I dont time everyone. I incredibly glad guys came offer After all, means talk 247. Inspired result, EVA AI team going continue investing creating digital copies application. We sure technologies help people closer idols, need observed, says Tanya Save. Under launch collaboration Eva Elfie, EVA AI team prepared promo 3D video: Download EVA AI chat Eva Elfie: PR contacts: Kamilla S Kamilla Saifulina EVA AI emailhere Visiton social media: Instagram TikTok MENAFN07092023003118003196ID1107026271 Legal Disclaimer: MENAFN provides information warranty kind. We accept responsibility liability accuracy, content, images, videos, licenses, completeness, legality, reliability information contained article. If complaints copyright issues related article, kindly contact provider above. Tags Label Comments No comment Category Date 972023 Most popular stories King Receives Japan Fm... Arabic, Portuguese: Similarities Beyond Language... Astra Tech And Alibaba Cloud Inks New Agreement To Redefine User Exper... Rabdan Academy And Department Of Community Development Abu Dhabi Coll... 19 Tamil Youths Released From Captivity In Kuwait Reach Chennai... Ankit Bathla, Shaily Priya Open Up About Their Janmashtami Celebration... 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Computer Vision System Market in Global Industry : Demands, Insights, Research and Future Forecast – Monroe Scoop
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Computer Vision System Market in Global Industry : Demands, Insights, Research and Future Forecast – Monroe Scoop
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You are hereHomeGlobal NewsComputer Vision System Market in Global Industry : Demands, Insights, Research and Future Forecast
Computer Vision System Market in Global Industry : Demands, Insights, Research and Future Forecast
March 23, 2020 Anita global Computer Vision System analysis 2020-2024 forecast, global Computer Vision System growth 2020, global Computer Vision System market, industry trends, orbis research
The study on Global Computer Vision System Market, offers deep insights about the Computer Vision System market covering all the crucial aspects of the market. Moreover, the report provides historical information with future forecast over the forecast period. Some of the important aspects analyzed in the report includes market share, production, key regions, revenue rate as well as key players. This Computer Vision System report also provides the readers with detailed figures at which the Computer Vision System market was valued in the historical year and its expected growth in upcoming years. Besides, analysis also forecasts the CAGR at which the Computer Vision System is expected to mount and major factors driving market’s growth.
Key vendors/manufacturers in the market:
Market Segment by Companies, this report covers
Cognex
Basler
Omron
Keyence
National Instruments
Sony
Teledyne Technologies
Texas Instruments
Intel
Baumer Optronic
Jai
Mvtec Software
Isra Vision
Sick
Mediatek
Cadence Design Systems
Ceva
Synopsys
Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/3181510
The Global Computer Vision System Market is a highly competitive market. It has some players who have been in the business for quite some time. Subsequently there are many startups coming up to seize the huge opportunity this market offers. Some players have a presence only in a particular geography. In addition, the projections offered in this report have been derived with the help of proven research assumptions as well as methodologies. By doing so, the Computer Vision System research study offers collection of information and analysis for each facet of the Computer Vision System market such as technology, regional markets, applications, and types. Likewise, the Computer Vision System market report offers some presentations and illustrations about the market that comprises pie charts, graphs, and charts which presents the percentage of the various strategies implemented by the service providers in the Global Computer Vision System Market. In addition to this, the report has been designed through the complete surveys, primary research interviews, as well as observations, and secondary research.
Likewise, the Global Computer Vision System Market report also features a comprehensive quantitative and qualitative evaluation by analyzing information collected from market experts and industry participants in the major points of the market value chain. This study offers a separate analysis of the major trends in the existing market, orders and regulations, micro & macroeconomic indicators is also comprised in this report. By doing so, the study estimated the attractiveness of every major segment during the prediction period.
Browse the complete report @ https://www.orbisresearch.com/reports/index/global-computer-vision-system-market-2019-by-company-regions-type-and-application-forecast-to-2024
Global Computer Vision System Market by Type:
Market Segment by Type, covers
Hardware
Software and Service
Global Computer Vision System Market by Application:
Market Segment by Applications, can be divided into
Automotive
Sports and Entertainment
Consumer
Robotics and Machine Vision
Medical
Security and Surveillancev
The Global Computer Vision System Market has its impact all over the globe. On Global Computer Vision System industry is segmented on the basis of product type, applications, and regions. It also focusses on market dynamics, Computer Vision System growth drivers, developing market segments and the market growth curve is offered based on past, present and future market data. The industry plans, news, and policies are presented at a global and regional level.
Major Table of Contents
1 Computer Vision System Market Overview
2 Company Profiles
3 Market Competition, by Players
4 Market Size by Regions
…Continued
Make an enquiry of this report @ https://www.orbisresearch.com/contacts/enquiry-before-buying/3181510
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4144N Central Expressway,
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Computer Vision System Market Global Industry : Demands, Insights, Research Future Forecast Monroe Scoop Skip content Monday, March 23, 2020 Us Monroe Scoop Industry Analytics Market News Global News Industry Reports Market Report Analysis Forecast Business Opportunity Consumption Status Emerging Trends Future Demands Growth Prospects Market Study Opportunities Forecast You hereHomeGlobal NewsComputer Vision System Market Global Industry : Demands, Insights, Research Future Forecast Computer Vision System Market Global Industry : Demands, Insights, Research Future Forecast March 23, 2020 Anita global Computer Vision System analysis 20202024 forecast, global Computer Vision System growth 2020, global Computer Vision System market, industry trends, orbis research The study Global Computer Vision System Market, offers deep insights Computer Vision System market covering crucial aspects market. Moreover, report provides historical information future forecast forecast period. Some important aspects analyzed report includes market share, production, key regions, revenue rate key players. This Computer Vision System report provides readers detailed figures Computer Vision System market valued historical year expected growth upcoming years. Besides, analysis forecasts CAGR Computer Vision System expected mount major factors driving markets growth. Key vendorsmanufacturers market: Market Segment Companies, report covers Cognex Basler Omron Keyence National Instruments Sony Teledyne Technologies Texas Instruments Intel Baumer Optronic Jai Mvtec Software Isra Vision Sick Mediatek Cadence Design Systems Ceva Synopsys Request sample report @ The Global Computer Vision System Market highly competitive market. It players business time. Subsequently startups coming seize huge opportunity market offers. Some players presence particular geography. In addition, projections offered report derived help proven research assumptions methodologies. By so, Computer Vision System research study offers collection information analysis facet Computer Vision System market technology, regional markets, applications, types. Likewise, Computer Vision System market report offers presentations illustrations market comprises pie charts, graphs, charts presents percentage strategies implemented service providers Global Computer Vision System Market. In addition this, report designed complete surveys, primary research interviews, observations, secondary research. Likewise, Global Computer Vision System Market report features comprehensive quantitative qualitative evaluation analyzing information collected market experts industry participants major points market value chain. This study offers separate analysis major trends existing market, orders regulations, micro macroeconomic indicators comprised report. By so, study estimated attractiveness major segment prediction period. Browse complete report @ Global Computer Vision System Market Type: Market Segment Type, covers Hardware Software Service Global Computer Vision System Market Application: Market Segment Applications, divided Automotive Sports Entertainment Consumer Robotics Machine Vision Medical Security Surveillancev The Global Computer Vision System Market impact globe. On Global Computer Vision System industry segmented basis product type, applications, regions. It focusses market dynamics, Computer Vision System growth drivers, developing market segments market growth curve offered based past, present future market data. The industry plans, news, policies presented global regional level. Major Table Contents 1 Computer Vision System Market Overview 2 Company Profiles 3 Market Competition, Players 4 Market Size Regions Continued Make enquiry report @ : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us : Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. 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https://murphyshockeylaw.net/space/4499183/computer-vision-in-healthcare-market-2028-nvidia-corporationmicrosoftxilinx-inc-alphabet-googleibmbasler-ag-intel-corporationaicure-arterysicad-inc-2/
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Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx Inc.Alphabet (Google)IBMBasler AG Intel CorporationAicure ArterysiCAD Inc. – Murphy's Hockey Law
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Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx Inc.Alphabet (Google)IBMBasler AG Intel CorporationAicure ArterysiCAD Inc. – Murphy's Hockey Law
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Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx Inc.Alphabet (Google)IBMBasler AG Intel CorporationAicure ArterysiCAD Inc.
Post author
By anita_adroit
Post date
October 20, 2021
The Computer Vision In Healthcare market study provides an in-depth examination of the global and regional markets. The most recent developments in the market have been considered while making the market research report. The Computer Vision In Healthcare market report includes the major driving factors of growth for the market. The primary objective of the market report is to shed light on the strengths, weaknesses, opportunities and threats witnessed in the market.
Competitor Profiling: Computer Vision In Healthcare Market
Nvidia CorporationMicrosoftXilinx Inc.Alphabet (Google)IBMBasler AG Intel CorporationAicure ArterysiCAD Inc.
We Have Recent Updates of Computer Vision In Healthcare Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/6150556?utm_source=PoojaAD5
The Computer Vision In Healthcare market report gives a clear perspective of the market by offering a detailed analysis of all the competitors in the global market. The report shows a thorough market analysis, significant trends, SWOT analysis and financial summary of the market. A clear view of the Computer Vision In Healthcare industry is provided by the Computer Vision In Healthcare market research report. It explains the growth methods in a healthy competitive market. The report provides a full traction study of the whole market.
Unraveling Segmentation and Scope of the Computer Vision In Healthcare Market
Analysis by Type:
By Product & Services (Software, Hardware and Services);
Analysis by Application:
End User (Diagnostic Centers, Healthcare Providers, and Other End Users)
Browse Full Report with Facts and Figures of Computer Vision In Healthcare Market Report at @ https://www.orbisresearch.com/reports/index/computer-vision-in-healthcares-market-2021-2028-emerging-growth-factors-trends-leading-players-and-in-depth-segmentation?utm_source=PoojaAD5
Expert market analysis is delivered in the Computer Vision In Healthcare market report by identifying the major suppliers of the market. By combining the essential services and goods of the market, the leading industry players and their positions can be concluded. Although, the Computer Vision In Healthcare market research is done based on the qualitative and quantitative data. The results of the study are critical and advice for the main industry trends in the Computer Vision In Healthcare market. The growth strategies and industry trends helping the market leaders are identified for the report. Market players are assisted with these reports to build their personal growth tactics to increase their revenue.
Regional Coverage of Computer Vision In Healthcare Market
– North America (U.S., Canada, Mexico)
– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
– Latin America (Brazil, Rest of L.A.)
– Middle East and Africa (Turkey, GCC, Rest of Middle East)
Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Computer Vision In Healthcare Revenue
1.4 Market Analysis by Type
1.4.1 Computer Vision In Healthcare Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 Computer Vision In Healthcare Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Growth Trends by Regions
2.1 Computer Vision In Healthcare Market Perspective (2015-2028)
2.2 Computer Vision In Healthcare Growth Trends by Regions
2.2.1 Computer Vision In Healthcare Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 Computer Vision In Healthcare Historic Market Share by Regions (2015-2020)
2.2.3 Computer Vision In Healthcare Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Computer Vision In Healthcare Market Growth Strategy
2.3.6 Primary Interviews with Key Computer Vision In Healthcare Players (Opinion Leaders)
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/6150556?utm_source=PoojaAD5
Chapter Three: Competition Landscape by Key Players
3.1 Top Computer Vision In Healthcare Players by Market Size
3.1.1 Top Computer Vision In Healthcare Players by Revenue (2015-2020)
3.1.2 Computer Vision In Healthcare Revenue Market Share by Players (2015-2020)
3.1.3 Computer Vision In Healthcare Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Computer Vision In Healthcare Market Concentration Ratio
3.2.1 Computer Vision In Healthcare Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Top Chapter Ten: and Top 5 Companies by Computer Vision In Healthcare Revenue in 2020
3.3 Computer Vision In Healthcare Key Players Head office and Area Served
3.4 Key Players Computer Vision In Healthcare Product Solution and Service
3.5 Date of Enter into Computer Vision In Healthcare Market
3.6 Mergers & Acquisitions, Expansion Plans
Information like market size, industry trends, and growth methods can all be found in the Computer Vision In Healthcare market report. The in-depth and general elements affecting the growth of the Computer Vision In Healthcare market and industry are analysed and briefed in the Computer Vision In Healthcare market report. To facilitate industry growth, performance and market success, a detailed study of all the aspects of the market is revealed in the Computer Vision In Healthcare market report. With a special focus on the market size, BPS, sales and other major factors of growth, all the segments of the Computer Vision In Healthcare market are examined in the Computer Vision In Healthcare market study.
Furthermore, the Computer Vision In Healthcare market report includes the overview of the Computer Vision In Healthcare market with a segmentation by application, by type, by region and by end-user. The demand predictions and market segmentation by region like North America, South America, Asia Pacific, Europe, Middle East and Africa are found in the study. Thorough evaluation of the PEST and market dynamics are emphasized in the study for the forecasted period.
About Us:
Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
Contact Us:
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Senior Manager Client Engagements
4144N Central Expressway,
Suite 600, Dallas,
Texas 75204, U.S.A.
Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155
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Urgent Care Apps Market 2028: Allm Inc.PulsaraVocera CommunicationsTigerConnectTwiage LLCVoaltePatientSafe Solutions Johnson & Johnson Services, Inc.Imprivata, Inc. Siilo B.V.
Bioinformatics Market 2028: Agilent Technologies, IncBiomax Informatics AgBroker CorporationDassault SystemsEurofins ScientificGeneva BioinformaticsIlluminePerknelmerQiagenThermofisher Scientific
Infusion Pumps Software Market 2028: BD B. Braun Baxter International Inc. ICU Medical, Inc. Medtronic Plc Moog Inc Smiths Medical Terumo Corporation Roche DiagnosticYpsomed AG
Cancer Registry Software Market 2028: Onco, IncC/Net SolutionsElekta ABRocky Mountain Cancer Data SystemsElectronic Registry Systems, IncMckesson CorporationOrdinal Data, IncConduent, IncIBMHimagine solutions inc
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Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx .Alphabet GoogleIBMBasler AG Intel CorporationAicure ArterysiCAD . Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories Space Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx .Alphabet GoogleIBMBasler AG Intel CorporationAicure ArterysiCAD . Post author By anita_adroit Post date October 20, 2021 The Computer Vision In Healthcare market study provides indepth examination global regional markets. The recent developments market considered making market research report. The Computer Vision In Healthcare market report includes major driving factors growth market. The primary objective market report shed light strengths, weaknesses, opportunities threats witnessed market. Competitor Profiling: Computer Vision In Healthcare Market Nvidia CorporationMicrosoftXilinx .Alphabet GoogleIBMBasler AG Intel CorporationAicure ArterysiCAD . We Have Recent Updates Computer Vision In Healthcare Market Sample [emailprotected] The Computer Vision In Healthcare market report gives clear perspective market offering detailed analysis competitors global market. The report shows thorough market analysis, significant trends, SWOT analysis financial summary market. A clear view Computer Vision In Healthcare industry provided Computer Vision In Healthcare market research report. It explains growth methods healthy competitive market. The report provides traction study market. Unraveling Segmentation Scope Computer Vision In Healthcare Market Analysis Type: By Product Services Software, Hardware Services; Analysis Application: End User Diagnostic Centers, Healthcare Providers, Other End Users Browse Full Report Facts Figures Computer Vision In Healthcare Market Report @ Expert market analysis delivered Computer Vision In Healthcare market report identifying major suppliers market. By combining essential services goods market, leading industry players positions concluded. Although, Computer Vision In Healthcare market research based qualitative quantitative data. The results study critical advice main industry trends Computer Vision In Healthcare market. The growth strategies industry trends helping market leaders identified report. Market players assisted reports build personal growth tactics increase revenue. Regional Coverage Computer Vision In Healthcare Market North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Table Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking Computer Vision In Healthcare Revenue 1.4 Market Analysis Type 1.4.1 Computer Vision In Healthcare Market Size Growth Rate Type: 2020 VS 2028 1.5 Market Application 1.5.1 Computer Vision In Healthcare Market Share Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered Chapter Two: Growth Trends Regions 2.1 Computer Vision In Healthcare Market Perspective 20152028 2.2 Computer Vision In Healthcare Growth Trends Regions 2.2.1 Computer Vision In Healthcare Market Size Regions: 2015 VS 2020 VS 2028 2.2.2 Computer Vision In Healthcare Historic Market Share Regions 20152020 2.2.3 Computer Vision In Healthcare Forecasted Market Size Regions 20212028 2.3 Industry Trends Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porters Five Forces Analysis 2.3.5 Computer Vision In Healthcare Market Growth Strategy 2.3.6 Primary Interviews Key Computer Vision In Healthcare Players Opinion Leaders Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Chapter Three: Competition Landscape Key Players 3.1 Top Computer Vision In Healthcare Players Market Size 3.1.1 Top Computer Vision In Healthcare Players Revenue 20152020 3.1.2 Computer Vision In Healthcare Revenue Market Share Players 20152020 3.1.3 Computer Vision In Healthcare Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 Computer Vision In Healthcare Market Concentration Ratio 3.2.1 Computer Vision In Healthcare Market Concentration Ratio CRChapter Five: HHI 3.2.2 Top Chapter Ten: Top 5 Companies Computer Vision In Healthcare Revenue 2020 3.3 Computer Vision In Healthcare Key Players Head office Area Served 3.4 Key Players Computer Vision In Healthcare Product Solution Service 3.5 Date Enter Computer Vision In Healthcare Market 3.6 Mergers Acquisitions, Expansion Plans Information like market size, industry trends, growth methods Computer Vision In Healthcare market report. The indepth general elements affecting growth Computer Vision In Healthcare market industry analysed briefed Computer Vision In Healthcare market report. To facilitate industry growth, performance market success, detailed study aspects market revealed Computer Vision In Healthcare market report. With special focus market size, BPS, sales major factors growth, segments Computer Vision In Healthcare market examined Computer Vision In Healthcare market study. Furthermore, Computer Vision In Healthcare market report includes overview Computer Vision In Healthcare market segmentation application, type, region enduser. The demand predictions market segmentation region like North America, South America, Asia Pacific, Europe, Middle East Africa study. Thorough evaluation PEST market dynamics emphasized study forecasted period. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Urgent Care Apps Market 2028: Allm .PulsaraVocera CommunicationsTigerConnectTwiage LLCVoaltePatientSafe Solutions Johnson Johnson Services, .Imprivata, . Siilo B.V. for: Recent Posts Computer Vision In Healthcare Market 2028: Nvidia CorporationMicrosoftXilinx .Alphabet GoogleIBMBasler AG Intel CorporationAicure ArterysiCAD . Urgent Care Apps Market 2028: Allm .PulsaraVocera CommunicationsTigerConnectTwiage LLCVoaltePatientSafe Solutions Johnson Johnson Services, .Imprivata, . Siilo B.V. Bioinformatics Market 2028: Agilent Technologies, Biomax Informatics AgBroker CorporationDassault SystemsEurofins ScientificGeneva BioinformaticsIlluminePerknelmerQiagenThermofisher Scientific Infusion Pumps Software Market 2028: BD B. Braun Baxter International . ICU Medical, . Medtronic Plc Moog Smiths Medical Terumo Corporation Roche DiagnosticYpsomed AG Cancer Registry Software Market 2028: Onco, CNet SolutionsElekta ABRocky Mountain Cancer Data SystemsElectronic Registry Systems, Mckesson CorporationOrdinal Data, Conduent, IBMHimagine solutions 2021 Murphys Hockey Law Powered WordPress To Up
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https://murphyshockeylaw.net/uncategorized/786647/global-ai-in-agriculture-market-size-2020-top-manufacturers-share-opportunities-and-forecast-to-2026/
| 2020-12-24T00:00:00 |
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Global AI in Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026 – Murphy's Hockey Law
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Global AI in Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026 – Murphy's Hockey Law
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HomeAll NewsGlobal AI in Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026
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Global AI in Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026
3 min read
3 hours ago
hiren.s
The unprecedented onset of a pandemic crisis such as COVID-19 has been instrumenting dominant alterations in the global growth trajectory of the AI in Agriculture Market. The event marks a catastrophic influence affecting myriad facets of the AI in Agriculture market in a multi-dimensional setting. The growth course that has been quite unabashed in the historical times, seems to have been struck suddenly in various unparalleled ways and means, which is therefore also affecting the normal growth prospects in the AI in Agriculture market. This thoughtfully compiled research report underpinning the impact of COVID-19 on the growth trajectory is therefore documented to encourage a planned rebound.
A thorough analytical review of the pertinent growth trends influencing the AI in Agriculture market has been demonstrated in the report by Zion Market Research. Adequate efforts have been directed to influence an unbiased and time-efficient market related decision amongst versatile market participants, striving to find a tight grip in the competition spectrum of the aforementioned AI in Agriculture market. The report also illustrates minute details in the AI in Agriculture market governing micro and macroeconomic factors that seem to have a dominant and long-term impact, directing the course of popular trends in the global AI in Agriculture market.
Free Sample Of Report @ https://www.zionmarketresearch.com/sample/ai-in-agriculture-market
The study encompasses profiles of major companies operating in the AI in Agriculture Market. Key players profiled in the report includes : Microsoft Corporation, aWhere, Granular, Agribotix LLC, IBM, Mavrx Inc., Prospera Technologies, Resson, Spensa Technologies Inc., The Climate Corporation
The report is rightly designed to present multidimensional information about the current and past market occurrences that tend to have a direct implication on the onward growth trajectory of the AI in Agriculture market.
The following sections of this versatile report on the AI in Agriculture market specifically shed light on popular industry trends encompassing both market drivers as well as dominant trends that systematically affect the growth trajectory visibly. The report is a holistic, ready-to-use compilation of all major events and developments that replicate growth in the AI in Agriculture market. Besides presenting notable insights on AI in Agriculture market factors comprising above determinants, the report further in its subsequent sections of this detailed research report on AI in Agriculture market states information on regional segmentation.
Download Free PDF Report Brochure @ https://www.zionmarketresearch.com/requestbrochure/ai-in-agriculture-market
In the subsequent sections of the report, readers are also presented with versatile understanding about the current state of geographical overview, encompassing various regional hubs that consistently keep witnessing growth promoting market developments directed by market veterans, aiming for ample competitive advantage, such that their footing remains strong and steady despite the cut throat competition characterizing the aforementioned AI in Agriculture market. Each of the market players profiled in the report have been analysed on the basis of their company and product portfolios, to make logical deductions.
Global AI in Agriculture Geographical Segmentation Includes:
North America (U.S., Canada, Mexico)
Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
Latin America (Brazil, Rest of L.A.)
Middle East and Africa (Turkey, GCC, Rest of Middle East)
Some Major TOC Points:
Chapter 1. Report Overview
Chapter 2. Global Growth Trends
Chapter 3. AI in AgricultureMarket Share by Key Players
Chapter 4. Breakdown Data by Type and Application
Chapter 5. AI in AgricultureMarket by End Users/Application
Chapter 6. COVID-19 Outbreak: AI in Agriculture Industry Impact
Chapter 7. Opportunity Analysis in Covid-19 Crisis
Chapter 9. Market Driving Force
And Many More…
Continued…
Research Methodology Includes:
The report systematically upholds the current state of dynamic segmentation of the AI in Agriculture market, highlighting major and revenue efficient market segments comprising application, type, technology, and the like that together coin lucrative business returns in the AI in Agriculture market.
Inquire more about this report @ https://www.zionmarketresearch.com/inquiry/ai-in-agriculture-market
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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Global AI in Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities and Forecast to 2026
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Global AI Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities Forecast 2026 Murphys Hockey Law Skip content December 24, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll NewsGlobal AI Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities Forecast 2026 All News Global AI Agriculture Market Size 2020 Top Manufacturers, Share, Opportunities Forecast 2026 3 min read 3 hours ago hiren.s The unprecedented onset pandemic crisis COVID19 instrumenting dominant alterations global growth trajectory theAI Agriculture Market. The event marks catastrophic influence affecting myriad facets AI Agriculture market multidimensional setting. The growth course unabashed historical times, struck suddenly unparalleled ways means, affecting normal growth prospects AI Agriculture market. This thoughtfully compiled research report underpinning impact COVID19 growth trajectory documented encourage planned rebound. A thorough analytical review pertinent growth trends influencing theAI Agriculture markethas demonstrated report byZion Market Research. Adequate efforts directed influence unbiased timeefficient market related decision versatile market participants, striving tight grip competition spectrum aforementioned AI Agriculture market. The report illustrates minute details AI Agriculture market governing micro macroeconomic factors dominant longterm impact, directing course popular trends global AI Agriculture market. Free Sample Of Report @ The study encompasses profiles major companies operating AI Agriculture Market.Key playersprofiled report includes:Microsoft Corporation, aWhere, Granular, Agribotix LLC, IBM, Mavrx ., Prospera Technologies, Resson, Spensa Technologies ., The Climate Corporation The report rightly designed present multidimensional information current past market occurrences tend direct implication onward growth trajectory AI Agriculture market. The following sections versatile report AI Agriculture market specifically shed light popular industry trends encompassing market drivers dominant trends systematically affect growth trajectory visibly. The report holistic, readytouse compilation major events developments replicate growth AI Agriculture market. Besides presenting notable insights AI Agriculture market factors comprising determinants, report subsequent sections detailed research report AI Agriculture market states information regional segmentation. Download Free PDF Report Brochure @ In subsequent sections report, readers presented versatile understanding current state geographical overview, encompassing regional hubs consistently witnessing growth promoting market developments directed market veterans, aiming ample competitive advantage, footing remains strong steady despite cut throat competition characterizing aforementioned AI Agriculture market. Each market players profiled report analysed basis company product portfolios, logical deductions. Global AI Agriculture Geographical Segmentation ludes: North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. AI AgricultureMarket Share Key Players Chapter 4. Breakdown Data Type Application Chapter 5. AI AgricultureMarket End UsersApplication Chapter 6. COVID19 Outbreak: AI Agriculture Industry Impact Chapter 7. Opportunity Analysis Covid19 Crisis Chapter 9. Market Driving Force And Many More Continued Research Methodology ludes: The report systematically upholds current state dynamic segmentation AI Agriculture market, highlighting major revenue efficient market segments comprising application, type, technology, like coin lucrative business returns AI Agriculture market. Inquire report @ Thanks reading article;you individual chapter wise section region wise report version like North America, Europe Asia. Continue Reading Previous Global Dashboard Software Market Size redible Possibilities Growth Analysis Forecast To 2026Next Global Blockchain Retail Market Size 2020 Top Manufacturers, Share, Opportunities Forecast 2026 More Stories 3 min read All News Covid19 Impact Weight Loss Diet Market Top Companies Upcoming Years 1 min ago [emailprotected] 3 min read All News Statistics Software Market Latest Research Report Of COVID19 Impact Study By ReportsWeb 20202026 IBM, Qlik, MathWorks, Minitab 6 mins ago [emailprotected] 3 min read All News Copper Foil Wireless charging Market Report Based Current Future Trends, Developments Opportunities 20202026 7 mins ago [emailprotected] for: Recent Posts Global Personal Lubricants Market Data Analysis 20202026 :Hathor Professional Skincare, Church Dwight, B.Cumming, Sliquid, Sensuous Beauty, Good Clean Love, Maximus lube, Bodywise, CleanStream, Passion Lube, Reckitt Benckiser, Blossom Organics, Trigg Laboratories, Live Well Brands, Lovehoney, The Yes Company, HLL Lifecare, BioFilm, Topco Sales Global Protective Fabrics Market Insight Report 20202026 Top Manufacturers :Cetriko, DuPont, Glen Raven, W.L.Gore, Koninklijke Ten Cate, Lakeland Industries, Kolon Industries, Klopman, Teijin, 3M, Milliken Company Global Motorcycle Racing Jacket Market Insights Report 20202026 :Firstgear, Fox Head ., ICON, Alpinestars S.p.A., Scott Sports SA, REVIT, SIDI Boots, Dainese S.p.A., ThorMX, Klim, Sena Bluetooth, Gerbing Heated Global Outdoor Knife Market Insights, Forecasts 2026 :RUIKE, Benchmade, ESEE, Extrema Ratio, Microtech Knives, Spyderco, Cold Steel, KABAR, Morakniv, Helle, Buck, Gerber Gear, SOG, Emerson Knives, FOX Knives, Fllkniven, CRKT Global Hair Styling Tools Market Forecasts, Insights 2026 :RIWA CN, Conair US, POVOS CN, SID CN, VS Sassoon US, Remington UK, WAHL US, Panasonic JP, Andis US, Ningbo Trueman Electric CN, Phillips NL, Paiter CN, Oster US You missed 3 min read All News Global Personal Lubricants Market Data Analysis 20202026 :Hathor Professional Skincare, Church Dwight, B.Cumming, Sliquid, Sensuous Beauty, Good Clean Love, Maximus lube, Bodywise, CleanStream, Passion Lube, Reckitt Benckiser, Blossom Organics, Trigg Laboratories, Live Well Brands, Lovehoney, The Yes Company, HLL Lifecare, BioFilm, Topco Sales 2 mins ago richard 4 min read News Global Protective Fabrics Market Insight Report 20202026 Top Manufacturers :Cetriko, DuPont, Glen Raven, W.L.Gore, Koninklijke Ten Cate, Lakeland Industries, Kolon Industries, Klopman, Teijin, 3M, Milliken Company 6 seconds ago richard 3 min read News Global Motorcycle Racing Jacket Market Insights Report 20202026 :Firstgear, Fox Head ., ICON, Alpinestars S.p.A., Scott Sports SA, REVIT, SIDI Boots, Dainese S.p.A., ThorMX, Klim, Sena Bluetooth, Gerbing Heated 12 seconds ago richard 3 min read News Global Outdoor Knife Market Insights, Forecasts 2026 :RUIKE, Benchmade, ESEE, Extrema Ratio, Microtech Knives, Spyderco, Cold Steel, KABAR, Morakniv, Helle, Buck, Gerber Gear, SOG, Emerson Knives, FOX Knives, Fllkniven, CRKT 22 seconds ago richard All News Energy News Space . 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https://murphyshockeylaw.net/uncategorized/846406/wearable-artificial-intelligence-market-2020-business-strategies-samsung-apple-microsoft-google-garmin-sony-huawei-fitbit-ibm-oracle/
| 2021-01-04T00:00:00 |
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Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle – Murphy's Hockey Law
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Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle – Murphy's Hockey Law
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Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle
4 min read
12 hours ago
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The market research report titled ” Global Wearable Artificial Intelligence Market To Show Startling Growth During Forecast Period “ 2020-2026 and published by Zion Market Research provides an insightful comprehension about the growth aspects, dynamics, and working of the global Wearable Artificial Intelligence Market. The report entails details about the market with data collected over the years with its wide-ranging analysis. It also comprises the competitive landscape within the market together with a detailed evaluation of the leading players within the global Wearable Artificial Intelligence Market. In addition, it sheds light on the profiles of the key vendors/manufacturers comprising thorough assessment of the market share, production technology, market entry strategies, revenue forecasts, and so on. Further, the report will encompass the fundamental strategic activities such as product developments, mergers & acquisitions, launches, events, partnerships, collaborations, and so on. Apart from this, it will also present the new entrants contributing their part in the market growth.
FREE | Request Sample is Available @ https://www.zionmarketresearch.com/sample/wearable-artificial-intelligence-market
Global Wearable Artificial Intelligence Market: Competitive Players
Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle, and Amazon.
The Wearable Artificial Intelligence Market report also entails exhaustive examination of the key factors likely to propel or restrict the expansion of the global Wearable Artificial Intelligence Market during the forecast period in addition to the most recent and promising future trends in the market. Moreover, the report uses SWOT analysis and other methodologies to analyze the numerous segments [Product, Applications, End-Users, and Major Regions] of the global Wearable Artificial Intelligence Market. Furthermore, it comprises valuable understanding about the segments like their growth potential, market share, and developments. It also evaluates the market on the basis of its major geographical regions [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe]. It entails quantitative and qualitative facets of the market in association to each country and region enlisted in the report.
Promising Regions & Countries Mentioned In The Wearable Artificial Intelligence Market Report:
North America ( United States)
Europe ( Germany, France, UK)
Asia-Pacific ( China, Japan, India)
Latin America ( Brazil)
The Middle East & Africa
Download Free PDF Report Brochure @ https://www.zionmarketresearch.com/requestbrochure/wearable-artificial-intelligence-market
The Wearable Artificial Intelligence Market report also stipulates the computed expected CAGR of the market estimated on the basis of the existing and previous records concerning the global Wearable Artificial Intelligence Market. The report analyzes the market with the aim of being capable to get a clear picture of prevailing and anticipated growth patterns of the market. Furthermore, it entails the impact of numerous federal policies and rules on the growth and dynamics of the market during the forecast period. The thorough assessment put forth by our analysts assist to get more profound acquaintance of global markets and related industries. In addition, the report encompasses various tactics to discover the weaknesses, opportunities, risks, and strengths having the potential to impact the global market expansion.
Impact of COVID-19 (Coronavirus): The report will also entail a dedicated section assessing the influence of COVID-19 on the expansion of the global Wearable Artificial Intelligence Market during the coming period.
Report Customization: Clients can request for customization of report as per their need for additional data.
Apart from this, our team will be accessible around the clock to our clients for any kind of assistance.
Inquire more about this report @ https://www.zionmarketresearch.com/inquiry/wearable-artificial-intelligence-market
Key Details & USPs of the Existing Report Study:
Worldwide-level market size of Wearable Artificial Intelligence Market in terms of Volume (K Units) and Value (USD Million) for historical period (2016 – 2019) and projected years (2020 – 2026)
Region-level (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) market size of Wearable Artificial Intelligence Market in terms of Volume (K Units) and Value (USD Million) for historical period (2016 – 2019) and projected years (2020 – 2026)
Country-level (U.S., Canada, Germany, UK, France, Spain, Italy, China, Japan, India, South Korea, Southeast Asia, Brazil, Mexico, GCC, South Africa, RoW) market size of Wearable Artificial Intelligence Market in terms of Volume (K Units) and Value (USD Million) for historical period (2016 – 2019) and projected years (2020 – 2026)
Type market size bifurcated into its individual Product Type (Concentration, Temperature, Combustion, Conductivity, and Others) in terms of Volume (K Units) and Value (USD Million) for historical period (2016 – 2019) and projected years (2020 – 2026)
Demand Side and Supply Side Perspective and analysis
Company/Players/Manufacturers/Vendors/Service Providers Market Share
Competitive Landscape, Competition Matrix, and Player Positioning Analysis
Market Dynamics, Trends, Factors affecting market growth during upcoming year
Key Buyers and End-User Analysis
Value Chain & Supply Chain Analysis including Distribution and Sales Channels as well as Forward and Backward Integration scenarios
Manufacturing Cost Structure Analysis
Key Raw Materials Analysis
Key Pricing Strategies adopted in the market
Key Marketing Strategies adopted in the market
Porters Five Forces Analysis
SWOT Analysis
PESTLE Analysis
Request coronavirus impact analysis on sectors and market
Request Report TOC (Table of Contents) @ https://www.zionmarketresearch.com/toc/wearable-artificial-intelligence-market
What Reports Provides
Full in-depth analysis of the parent market
Important changes in market dynamics
Segmentation details of the market
Former, on-going, and projected market analysis in terms of volume and value
Assessment of niche industry developments
Market share analysis
Key strategies of major players
Emerging segments and regional markets
Testimonials to companies in order to fortify their foothold in the market.
Also, Research Report Examines:
Competitive companies and manufacturers in global market
By Product Type, Applications & Growth Factors
Industry Status and Outlook for Major Applications / End Users / Usage Area
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle
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Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle Murphys Hockey Law Skip content January 4, 2021 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll NewsWearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle All News Wearable Artificial Intelligence Market 2020 Business Strategies : Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle 4 min read 12 hours ago hiren.s The market research report titled Global Wearable Artificial Intelligence Market To Show Startling Growth During Forecast Period20202026 published Zion Market Research provides insightful comprehension growth aspects, dynamics, working global Wearable Artificial Intelligence Market. The report entails details market data collected years wideranging analysis. It comprises competitive landscape market detailed evaluation leading players global Wearable Artificial Intelligence Market. In addition, sheds light profiles key vendorsmanufacturers comprising thorough assessment market share, production technology, market entry strategies, revenue forecasts, on. Further, report encompass fundamental strategic activities product developments, mergers acquisitions, launches, events, partnerships, collaborations, on. Apart this, present new entrants contributing market growth. FREE Request Sample Available @ Global Wearable Artificial Intelligence Market: Competitive Players Samsung, Apple, Microsoft, Google, Garmin, Sony, Huawei, Fitbit, IBM, Oracle, Amazon. The Wearable Artificial Intelligence Market report entails exhaustive examination key factors likely propel restrict expansion global Wearable Artificial Intelligence Market forecast period addition recent promising future trends market. Moreover, report uses SWOT analysis methodologies analyze numerous segments [Product, Applications, EndUsers, Major Regions] global Wearable Artificial Intelligence Market. Furthermore, comprises valuable understanding segments like growth potential, market share, developments. It evaluates market basis major geographical regions [Latin America, North America, Asia Pacific, Middle East Africa, Europe]. It entails quantitative qualitative facets market association country region enlisted report. Promising Regions Countries Mentioned In The Wearable Artificial Intelligence Market Report: North America United States Europe Germany, France, UK AsiaPacific China, Japan, India Latin America Brazil The Middle East Africa Download Free PDF Report Brochure @ The Wearable Artificial Intelligence Market report stipulates computed expected CAGR market estimated basis existing previous records concerning global Wearable Artificial Intelligence Market. The report analyzes market aim capable clear picture prevailing anticipated growth patterns market. Furthermore, entails impact numerous federal policies rules growth dynamics market forecast period. The thorough assessment forth analysts assist profound acquaintance global markets related industries. In addition, report encompasses tactics discover weaknesses, opportunities, risks, strengths potential impact global market expansion. Impact COVID19 Coronavirus:The report entail dedicated section assessing influence COVID19 expansion global Wearable Artificial Intelligence Market coming period. Report Customization:Clients request customization report need additional data. Apart this, team accessible clock clients kind assistance. Inquire report @ Key Details USPs Existing Report Study: Worldwidelevel market size Wearable Artificial Intelligence Market terms Volume K Units Value USD Million historical period 2016 2019 projected years 2020 2026 Regionlevel North America, Europe, Asia Pacific, Latin America, Middle East Africa market size Wearable Artificial Intelligence Market terms Volume K Units Value USD Million historical period 2016 2019 projected years 2020 2026 Countrylevel U.S., Canada, Germany, UK, France, Spain, Italy, China, Japan, India, South Korea, Southeast Asia, Brazil, Mexico, GCC, South Africa, RoW market size Wearable Artificial Intelligence Market terms Volume K Units Value USD Million historical period 2016 2019 projected years 2020 2026 Type market size bifurcated individual Product Type Concentration, Temperature, Combustion, Conductivity, Others terms Volume K Units Value USD Million historical period 2016 2019 projected years 2020 2026 Demand Side Supply Side Perspective analysis CompanyPlayersManufacturersVendorsService Providers Market Share Competitive Landscape, Competition Matrix, Player Positioning Analysis Market Dynamics, Trends, Factors affecting market growth upcoming year Key Buyers EndUser Analysis Value Chain Supply Chain Analysis including Distribution Sales Channels Forward Backward Integration scenarios Manufacturing Cost Structure Analysis Key Raw Materials Analysis Key Pricing Strategies adopted market Key Marketing Strategies adopted market Porters Five Forces Analysis SWOT Analysis PESTLE Analysis Request coronavirus impact analysis sectors market Request Report TOC Table Contents @ What Reports Provides Full indepth analysis parent market Important changes market dynamics Segmentation details market Former, ongoing, projected market analysis terms volume value Assessment niche industry developments Market share analysis Key strategies major players Emerging segments regional markets Testimonials companies order fortify foothold market. Also, Research Report Examines: Competitive companies andmanufacturersin global market By Product Type, Applications Growth Factors Industry Status Outlook forMajor Applications End Users Usage Area Thanks reading article;you individual chapter wise section region wise report version like North America, Europe Asia. Continue Reading Previous Cash Coin Deposit Bags Market 2020 Business Strategies : Coveris Holdings S.A., ProAmpac LLC, NELMAR Security Packaging Systems .Next Coherent Optical Equipment Market 2020 Business Strategies : Nokia Corporation, Huawei Technologies Co., Ltd., Ciena Corporation, Cisco Systems, . 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https://nakedsecurity.sophos.com/2022/10/26/clearview-ai-image-scraping-face-recognition-service-hit-with-e20m-fine-in-france/
| 2022-10-26T00:00:00 |
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Clearview AI image-scraping face recognition service hit with €20m fine in France – Naked Security
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Clearview AI image-scraping face recognition service hit with €20m fine in France – Naked Security
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Clearview AI image-scraping face recognition service hit with €20m fine in France
26 Oct 2022
0
Law & order, Privacy
Post navigation
Previous: Apple megaupdate: Ventura out, iOS and iPad kernel zero-day – act now!
by
Paul Ducklin
The Clearview AI saga continues!
If you haven’t heard of this company before, here’s a very clear and concise recap from the French privacy regulator, CNIL (Commission Nationale de l’Informatique et des Libertés), which has very handily been publishing its findings and rulings in this long-running story in both French and English:
Clearview AI collects photographs from many websites, including social media. It collects all the photographs that are directly accessible on these networks (i.e. that can be viewed without logging in to an account). Images are also extracted from videos available online on all platforms.
Thus, the company has collected over 20 billion images worldwide.
Thanks to this collection, the company markets access to its image database in the form of a search engine in which a person can be searched using a photograph. The company offers this service to law enforcement authorities in order to identify perpetrators or victims of crime.
Facial recognition technology is used to query the search engine and find a person based on their photograph. In order to do so, the company builds a “biometric template”, i.e. a digital representation of a person’s physical characteristics (the face in this case). These biometric data are particularly sensitive, especially because they are linked to our physical identity (what we are) and enable us to identify ourselves in a unique way.
The vast majority of people whose images are collected into the search engine are unaware of this feature.
Clearview AI has variously attracted the ire of companies, privacy organisations and regulators over the last few years, including getting hit with:
Complaints and class action lawsuits filed in Illinois, Vermont, New York and California.
A legal challenge from the American Civil Liberties Union (ACLU).
Cease-and-desist orders from Facebook, Google and YouTube, who deemed that Clearview’s scraping activities violated their terms and conditions.
Crackdown action and fines in Australia and the UK.
A ruling finding its operation unlawful in 2021, by the abovementioned French regulator.
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No legitimate interest
In December 2021, CNIL stated, quite bluntly, that:
[T]his company does not obtain the consent of the persons concerned to collect and use their photographs to supply its software.
Clearview AI does not have a legitimate interest in collecting and using this data either, particularly given the intrusive and massive nature of the process, which makes it possible to retrieve the images present on the Internet of several tens of millions of Internet users in France. These people, whose photographs or videos are accessible on various websites, including social media, do not reasonably expect their images to be processed by the company to supply a facial recognition system that could be used by States for law enforcement purposes.
The seriousness of this breach led the CNIL chair to order Clearview AI to cease, for lack of a legal basis, the collection and use of data from people on French territory, in the context of the operation of the facial recognition software it markets.
Furthermore, CNIL formed the opinion that Clearview AI didn’t seem to care much about complying with European rules on collecting and handling personal data:
The complaints received by the CNIL revealed the difficulties encountered by complainants in exercising their rights with Clearview AI.
On the one hand, the company does not facilitate the exercise of the data subject’s right of access:
by limiting the exercise of this right to data collected during the twelve months preceding the request;
by restricting the exercise of this right to twice a year, without justification;
by only responding to certain requests after an excessive number of requests from the same person.
On the other hand, the company does not respond effectively to requests for access and erasure. It provides partial responses or does not respond at all to requests.
CNIL even published an infographic that sums up its decision, and its decision making process:
The Australian and UK Information Commissioners came to similar conclusions, with similar outcomes for Clearview AI: your data scraping is illegal in our jurisdictions; you must stop doing it here.
However, as we said back in May 2022, when the UK reported that it would be fining Clearview AI about £7,500,000 (down from the £17m fine first proposed) and ordering the company not to collect data on UK redidents any more, “how this will be policed, let alone enforced, is unclear.”
Clearview AI face-matching service fined a lot less than expected
We may be about to find how the company will be policed in the future, with CNIL losing patience with Clearview AI for not comlying with its ruling to stop collecting the biometric data of French people…
…and announcing a fine of €20,000,000:
Following a formal notice which remained unaddressed, the CNIL imposed a penalty of 20 million Euros and ordered CLEARVIEW AI to stop collecting and using data on individuals in France without a legal basis and to delete the data already collected.
What next?
As we’ve written before, Clearview AI seems not only to be happy to ignore regulatory rulings issued against it, but also to expect people to feel sorry for it at the same time, and indeed to be on its side for providing what it thinks is a vital service to society.
In the UK ruling, where the regulator took a similar line to CNIL in France, the company was told that its behaviour was unlawful, unwanted and must stop forthwith.
But reports at the time suggested that far from showing any humility, Clearview CEO Hoan Ton-That reacted with an opening sentiment that would not be out of place in a tragic lovesong:
It breaks my heart that Clearview AI has been unable to assist when receiving urgent requests from UK law enforcement agencies seeking to use this technology to investigate cases of severe sexual abuse of children in the UK.
As we suggested back in May 2022, the company may find its plentiful opponents replying with song lyrics of their own:
Cry me a river. (Don’t act like you don’t know it.)
What do you think?
Is Clearview AI really providing a beneficial and socially acceptable service to law enforcement?
Or is it casually trampling on our privacy and our presumption of innocence by collecting biometric data unlawfully, and commercialising it for investigative tracking purposes without consent (and, apparently, without limit)?
Let us know in the comments below… you may remain anonymous.
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Clearview AI image-scraping face recognition service hit with €20m fine in France
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Clearview AI imagescraping face recognition service hit 20m fine France Naked Security Skip content Products Free Tools Free Sophos Home Go XG Firewall NextGen Firewall Intercept X NextGen Endpoint Sophos Cloud Optix Sophos Central Sophos Mobile Intercept X Server Secure WiFi Phish Threat SafeGuard Encryption Secure Email SG UTM Secure Web Gateway For Home Users Sophos Home protects Mac PC home Learn More Free Security Tools Free Trials Product Demos Have listened podcast? Listen Clearview AI imagescraping face recognition service hit 20m fine France 26 Oct 2022 0 Law order, Privacy Post navigation Previous: Apple megaupdate: Ventura out, iOS iPad kernel zeroday act Paul Ducklin The Clearview AI saga continues If havent heard company before, heres clear concise recap French privacy regulator, CNIL Commission Nationale lInformatique et des Liberts, handily publishing findings rulings longrunning story French English: Clearview AI collects photographs websites, including social media. It collects photographs directly accessible networks i.e. viewed logging account. Images extracted videos available online platforms. Thus, company collected 20 billion images worldwide. Thanks collection, company markets access image database form search engine person searched photograph. The company offers service law enforcement authorities order identify perpetrators victims crime. Facial recognition technology query search engine person based photograph. In order so, company builds biometric template, i.e. digital representation persons physical characteristics face case. These biometric data particularly sensitive, especially linked physical identity enable identify unique way. The vast majority people images collected search engine unaware feature. Clearview AI variously attracted ire companies, privacy organisations regulators years, including getting hit with: Complaints class action lawsuits filed Illinois, Vermont, New York California. A legal challenge American Civil Liberties Union ACLU. Ceaseanddesist orders Facebook, Google YouTube, deemed Clearviews scraping activities violated terms conditions. Crackdown action fines Australia UK. A ruling finding operation unlawful 2021, abovementioned French regulator. 247 threat hunting, detection, response delivered expert team fullymanaged service. LearnMore No legitimate In December 2021, CNIL stated, bluntly, that: [T]his company obtain consent persons concerned collect use photographs supply software. Clearview AI legitimate collecting data either, particularly given intrusive massive nature process, makes possible retrieve images present Internet tens millions Internet users France. These people, photographs videos accessible websites, including social media, reasonably expect images processed company supply facial recognition States law enforcement purposes. The seriousness breach led CNIL chair order Clearview AI cease, lack legal basis, collection use data people French territory, context operation facial recognition software markets. Furthermore, CNIL formed opinion Clearview AI didnt care complying European rules collecting handling personal data: The complaints received CNIL revealed difficulties encountered complainants exercising rights Clearview AI. On hand, company facilitate exercise data subjects right access: limiting exercise right data collected months preceding request; restricting exercise right twice year, justification; responding certain requests excessive number requests person. On hand, company respond effectively requests access erasure. It provides partial responses respond requests. CNIL published infographic sums decision, decision making process: The Australian UK Information Commissioners came similar conclusions, similar outcomes Clearview AI: data scraping illegal jurisdictions; stop here. However, said May 2022, UK reported fining Clearview AI 7,500,000 17m fine proposed ordering company collect data UK redidents more, policed, let enforced, unclear. Clearview AI facematching service fined lot expected We company policed future, CNIL losing patience Clearview AI comlying ruling stop collecting biometric data French people announcing fine 20,000,000: Following formal notice remained unaddressed, CNIL imposed penalty 20 million Euros ordered CLEARVIEW AI stop collecting data individuals France legal basis delete data collected. What next? As weve written before, Clearview AI happy ignore regulatory rulings issued it, expect people feel sorry time, providing thinks vital service society. In UK ruling, regulator took similar line CNIL France, company told behaviour unlawful, unwanted stop forthwith. But reports time suggested far showing humility, Clearview CEO Hoan TonThat reacted opening sentiment place tragic lovesong: It breaks heart Clearview AI unable assist receiving urgent requests UK law enforcement agencies seeking use technology investigate cases severe sexual abuse children UK. As suggested May 2022, company plentiful opponents replying song lyrics own: Cry river. Dont act like dont know it. What think? Is Clearview AI providing beneficial socially acceptable service law enforcement? Or casually trampling privacy presumption innocence collecting biometric data unlawfully, commercialising investigative tracking purposes consent and, apparently, limit? Let know comments remain anonymous. Follow Twitter latest security news. Follow Instagram exclusive pics, gifs, vids LOLs Free tools Sophos Firewall Home Edition Boost home network security. Sophos Scan Clean Free secondopinion scanner PCs. Sophos Cloud Optix Monitor 25 cloud assets free. Post navigation Previous: Apple megaupdate: Ventura out, iOS iPad kernel zeroday act What think? Cancel replyComment Name Email Website Recommended reads Sep08 Paul Ducklin 2 S3 Ep99: TikTok attack data breach, not? [Audio Text] Oct19 Paul Ducklin 10 Women Cryptology USPS celebrates WW2 codebreakers Aug26 Paul Ducklin 0 Firefox 104 critical bugs, update About Naked Security About Sophos Send tip Privacy Legal Intercept X Intercept X Server Intercept X Mobile XG Firewall Sophos Email Sophos Wireless Managed Threat Response Cloud Optix Phish Threat 1997 2022 Sophos Ltd. . Powered WordPress VIP
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] | 1 | 196,981 |
https://newatlas.com/drones/ai-defeats-humans-drone-racing/
| 2023-08-31T00:00:00 |
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For the first time, AI dominates humanity's best in a real-world sport
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For the first time, AI dominates humanity's best in a real-world sport
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Drones
For the first time, AI dominates humanity's best in a real-world sport
By Loz Blain
August 30, 2023
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For the first time, AI dominates humanity's best in a real-world sport
Now they're beating us in real-world sports: an AI has dominated world-champion drone racers head-to-headUniversity of Zurich
View 3 Images
1/3
Now they're beating us in real-world sports: an AI has dominated world-champion drone racers head-to-headUniversity of Zurich
2/3
Using only on-board camera vision and an inertial measurement unit, the Swift AI piloted a racing drone to repeated victories over the world's best human pilots in SwitzerlandUniversity of Zurich
3/3
A 25 x 25 m course was assembled in an aircraft hangar in ZurichUniversity of Zurich
View gallery - 3 images
High-speed drone racing has just had a shocking "Deep Blue" moment, as an autonomous AI designed by University of Zurich researchers repeatedly forced three world champion-level pilots to eat its dust, showing uncanny precision in dynamic flight.If you've ever watched a high-level drone race from the FPV perspective, you'll know how much skill, speed, precision and dynamic control it takes. Like watching Formula One from the driver's perspective, or on-board footage from the Isle of Man TT, it's hard to imagine how a human brain can make calculations that quickly and respond to changing situations in real time. It's incredibly impressive. When Deep Blue stamped silicon's dominance on the world of chess, and AlphaGo established AI's dominance in the game of Go, these were strategic situations, in which a computer's ability to analyze millions of past games and millions of potential moves and strategies gave them the edge. But now, for the first time, AI has beaten some of the world's best in a real-world, physical sport. An AI system called Swift, developed by researchers from the University of Zurich and Intel, quickly learned a tight, technical 3D racetrack, and proceeded to dominate two human world champions and a three-time Swiss national champion in head-to-head racing, also setting the fastest race time.
A 25 x 25 m course was assembled in an aircraft hangar in ZurichUniversity of Zurich
The Swift system used the same single-camera vision setup as the human pilots to see its way around the course and through the gates, but had the advantage of also using real-time acceleration, speed and orientation data from an onboard inertial measurement unit. It learned the fairly complex seven-gate track, complete with an acrobatic Split-S vertical hairpin turn, by running 100 drones through the track simultaneously in a virtual environment. The sim-drones began by exploring the racetrack environment, then started finding paths through it, and eventually optimized those paths to find the quickest way around. This process took less than an hour, but simulated the equivalent of an uninterrupted month's worth of real-time single-drone training.Next, it fine-tuned its control policies using data gathered from real-world flight, to account for things like air turbulence, visual signal degradation, and other factors that create uncertainty between simulations and the real world.
Using only on-board camera vision and an inertial measurement unit, the Swift AI piloted a racing drone to repeated victories over the world's best human pilots in SwitzerlandUniversity of Zurich
And then, it laid the smackdown in the physical world, at a purpose-built 25 x 25-meter (82 x 82-ft) track in an airport hangar near Zurich. "That was insane," gasped two-time MultiGP international World Cup champion Thomas Bitmatta as the Swift AI streaked away from him, taking tighter turns than any of the human racers and displaying inhuman precision between laps. Its fastest lap was a full half-second quicker than the best lap a human laid down – an eternity in high-speed racing. Having said that, the humans were better able to adapt to changing conditions; when bright sunlight lit the hangar up more than the drone was trained for, it failed. It's hard to see how further training couldn't eliminate that kind of blind spot, but the point remains: the human brain is almost endlessly adaptable. Unconventional tactics and surprise are our best bet against the robot uprising.And there's a broader point here about the rise of AI systems; these machines can develop incredible speed and precision when given specific tasks, but the ol' necktop computer still reigns supreme when it comes to dealing with a broader range of tasks in dynamic and changing conditions. For now. Watch the thing fly below; the video is fantastic.
Champion-level Drone Racing using Deep Reinforcement Learning (Nature, 2023)
Source: University of Zurich
View gallery - 3 images
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DronesArtificial IntelligenceDrone racingRacingWorld's FastestUniversity of Zurich
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Loz Blain
Loz has been one of our most versatile contributors since 2007, and has since proven himself as a photographer, videographer, presenter, producer and podcast engineer, as well as a senior features writer. Joining the team as a motorcycle specialist, he's covered just about everything for New Atlas, concentrating lately on eVTOLs, hydrogen, energy, aviation, audiovisual, weird stuff and things that go fast.
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For the first time, AI dominates humanity's best in a real-world sport
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For time, AI dominates humanitys best realworld sport SUBSCRIBE ADFREE LOG IN HOME LIFESTYLE Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories SCIENCE Energy Medical Space Materials Biology Environment Physics View SCIENCE categories Energy Medical Space Materials Biology Environment Physics View SCIENCE categories TECHNOLOGY Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories TRANSPORT Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories 2023 New Atlas Menu HOME LIFESTYLE Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories SCIENCE Energy Medical Space Materials Biology Environment Physics View SCIENCE categories TECHNOLOGY Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories TRANSPORT Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories SUBSCRIBE ADFREE LOG IN Show Query Submit Drones For time, AI dominates humanitys best realworld sport ByLoz Blain August 30, 2023 Facebook Twitter Flipboard LinkedIn For time, AI dominates humanitys best realworld sport Now theyre beating realworld sports: AI dominated worldchampion drone racers headtoheadUniversity Zurich View 3 Images 13 Now theyre beating realworld sports: AI dominated worldchampion drone racers headtoheadUniversity Zurich 23 Using onboard camera vision inertial measurement unit, Swift AI piloted racing drone repeated victories worlds best human pilots SwitzerlandUniversity Zurich 33 A 25 x 25 course assembled aircraft hangar ZurichUniversity Zurich View gallery 3 images Highspeed drone racing shocking Deep Blue moment, autonomous AI designed University Zurich researchers repeatedly forced world championlevel pilots eat dust, showing uncanny precision dynamic flight.If youve watched highlevel drone race FPV perspective, youll know skill, speed, precision dynamic control takes. Like watching Formula One drivers perspective, onboard footage Isle Man TT, hard imagine human brain calculations quickly respond changing situations real time. Its incredibly impressive. When Deep Blue stamped silicons dominance world chess, AlphaGo established AIs dominance game Go, strategic situations, computers ability analyze millions past games millions potential moves strategies gave edge. But now, time, AI beaten worlds best realworld, physical sport. An AI called Swift, developed researchers University Zurich Intel, quickly learned tight, technical 3D racetrack, proceeded dominate human world champions threetime Swiss national champion headtohead racing, setting fastest race time. A 25 x 25 course assembled aircraft hangar ZurichUniversity Zurich The Swift singlecamera vision setup human pilots way course gates, advantage realtime acceleration, speed orientation data onboard inertial measurement unit. It learned fairly complex sevengate track, complete acrobatic SplitS vertical hairpin turn, running 100 drones track simultaneously virtual environment. The simdrones began exploring racetrack environment, started finding paths it, eventually optimized paths quickest way around. This process took hour, simulated equivalent uninterrupted months worth realtime singledrone training.Next, finetuned control policies data gathered realworld flight, account things like air turbulence, visual signal degradation, factors create uncertainty simulations real world. Using onboard camera vision inertial measurement unit, Swift AI piloted racing drone repeated victories worlds best human pilots SwitzerlandUniversity Zurich And then, laid smackdown physical world, purposebuilt 25 x 25meter 82 x 82ft track airport hangar near Zurich. That insane, gasped twotime MultiGP international World Cup champion Thomas Bitmatta Swift AI streaked away him, taking tighter turns human racers displaying inhuman precision laps. Its fastest lap halfsecond quicker best lap human laid eternity highspeed racing. Having said that, humans better able adapt changing conditions; bright sunlight lit hangar drone trained for, failed. Its hard training eliminate kind blind spot, point remains: human brain endlessly adaptable. Unconventional tactics surprise best bet robot uprising.And theres broader point rise AI systems; machines develop incredible speed precision given specific tasks, ol necktop reigns supreme comes dealing broader range tasks dynamic changing conditions. For now. Watch thing fly below; video fantastic. Championlevel Drone Racing Deep Reinforcement Learning Nature, 2023 Source: University Zurich View gallery 3 images Tags DronesArtificial IntelligenceDrone racingRacingWorlds FastestUniversity Zurich Facebook Twitter Flipboard LinkedIn No comments Loz Blain Loz versatile contributors 2007, proven photographer, videographer, presenter, producer podcast engineer, senior features writer. Joining team motorcycle specialist, hes covered New Atlas, concentrating lately eVTOLs, hydrogen, energy, aviation, audiovisual, weird stuff things fast. Most Viewed Aircraft ATRX700 light sport helicopter created anticipation FAA rule change Military Northrop Grumman delivers rugged minilaser weapon US government Automotive Fords adorable new Nugget PHEV camper van gets jump Volkswagen Load More 0 comments Sign post comment. Please comments 150 words. No abusive material spam published. There comments. Be GET OUR NEWSLETTEROver 220,000 people receive email newsletter. 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https://news.prairiepublic.org/news-from-npr/news-from-npr/2023-05-31/experts-issue-a-dire-warning-about-ai-and-encourage-limits-be-imposed
| 2023-06-09T00:00:00 |
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Experts issue a dire warning about AI and encourage limits be imposed | Prairie Public Broadcasting
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News from NPR
Experts issue a dire warning about AI and encourage limits be imposed
By
Ben Abrams
Published May 31, 2023 at 6:18 AM CDT
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Listen • 5:13
Yuichiro Chino
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Getty ImagesTech leaders warn that we don't know the full extent of the harms and advantages of artificial intelligence and urge more study to fully grasp its eventual impact.
Updated June 1, 2023 at 4:59 PM ET
A statement from hundreds of tech leaders carries a stark warning: artificial intelligence (AI) poses an existential threat to humanity. With just 22 words, the statement reads, "Mitigating the risk of extinction from AI should be a global priority alongside other societal scale risks such as pandemics and nuclear war."
Among the tech leaders, CEOs and scientists who signed the statement that was issued Tuesday is Scott Niekum, an associate professor who heads the Safe, Confident, and Aligned Learning + Robotics (SCALAR) lab at the University of Massachusetts Amherst.
Niekum tells NPR's Leila Fadel on Morning Edition that AI has progressed so fast that the threats are still uncalculated, from near-term impacts on minority populations to longer-term catastrophic outcomes. "We really need to be ready to deal with those problems," Niekum said.
This interview has been edited for length and clarity.
Interview Highlights
Does AI, if left unregulated, spell the end of civilization?
"We don't really know how to accurately communicate to AI systems what we want them to do. So imagine I want to teach a robot how to jump. So I say, "Hey, I'm going to give you a reward for every inch you get off the ground." Maybe the robot decides just to go grab a ladder and climb up it and it's accomplished the goal I set out for it. But in a way that's very different from what I wanted it to do. And that maybe has side effects on the world. Maybe it's scratched something with the ladder. Maybe I didn't want it touching the ladder in the first place. And if you swap out a ladder and a robot for self-driving cars or AI weapon systems or other things, that may take our statements very literally and do things very different from what we wanted.
Why would scientists have unleashed AI without considering the consequences?
There are huge upsides to AI if we can control it. But one of the reasons that we put the statement out is that we feel like the study of safety and regulation of AI and mitigation of the harms, both short-term and long-term, has been understudied compared to the huge gain of capabilities that we've seen...And we need time to catch up and resources to do so.
What are some of the harms already experienced because of AI technology?
A lot of them, unfortunately, as many things do, fall with a higher burden on minority populations. So, for example, facial recognition systems work more poorly on Black people and have led to false arrests. Misinformation has gotten amplified by these systems...But it's a spectrum. And as these systems become more and more capable, the types of risks and the levels of those risks almost certainly are going to continue to increase.
AI is such a broad term. What kind of technology are we talking about?
AI is not just any one thing. It's really a set of technologies that allow us to get computers to do things for us, often by learning from data. This can be things as simple as doing elevator scheduling in a more efficient way, or ambulance versus ambulance figuring out which one to dispatch based on a bunch of data we have about the current state of affairs in the city or of the patients.
It can go all the way to the other end of having extremely general agents. So something like ChatGPT where it operates in the domain of language where you can do so many different things. You can write a short story for somebody, you can give them medical advice. You can generate code that could be used to hack and bring up some of these dangers. And what many companies are interested in building is something called AGI, artificial general intelligence, which colloquially, essentially means that it's an AI system that can do most or all of the tasks that a human can do at least at a human level.
Copyright 2023 NPR. To see more, visit https://www.npr.org.
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Experts issue dire warning AI encourage limits imposed Prairie Public Broadcasting Query Show Home Prairie Public Home NewsRoom Home Prairie Public Home NewsRoom Home About Us Jobs Opportunities Meet Radio Staff Membership Executive Staff Board Prairie Public History Pressroom Email Newsletters Us Jobs Opportunities Meet Radio Staff Membership Executive Staff Board Prairie Public History Pressroom Email Newsletters News Topics Local News Main Street Arts Culture Energy Environment Politics Government Local News Main Street Arts Culture Energy Environment Politics Government Radio Radio Programs AZ Radio Schedule Listen Online Podcasts Digital Series How Listen Radio Programs AZ Radio Schedule Listen Online Podcasts Digital Series How Listen Programs Dakota Datebook Dakota Datebook: Teachings Our Elders Davey Bees Hit Song Vault The Great American Folk Show Main Street Natural North Dakota North Dakota Legislative Review Plains Folk Prairie Public Presents Prebys Classics Why? 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Philosophical Discussions About Everyday Life All Programs Dakota Datebook Dakota Datebook: Teachings Our Elders Davey Bees Hit Song Vault The Great American Folk Show Main Street Natural North Dakota North Dakota Legislative Review Plains Folk Prairie Public Presents Prebys Classics Why? Philosophical Discussions About Everyday Life All Programs Support Membership Planned Giving Sponsorship Vehicle Donation Membership Planned Giving Sponsorship Vehicle Donation Community Community Calendar Submit An Event Community Calendar Submit An Event Shop News NPR Experts issue dire warning AI encourage limits imposed By Ben Abrams PublishedMay 31, 2023 6:18 AM CDT Facebook Twitter LinkedIn Email Listen 5:13 Yuichiro Chino Getty ImagesTech leaders warn dont know extent harms advantages artificial intelligence urge study fully grasp eventual impact. Updated June 1, 2023 4:59 PM ET A statement hundreds tech leaders carries stark warning: artificial intelligence AI poses existential threat humanity. With 22 words, statement reads, Mitigating risk extinction AI global priority alongside societal scale risks pandemics nuclear war. Among tech leaders, CEOs scientists signed statement issued Tuesday Scott Niekum, associate professor heads Safe, Confident, Aligned Learning Robotics SCALAR lab University Massachusetts Amherst. Niekum tells NPRs Leila Fadel Morning Edition AI progressed fast threats uncalculated, nearterm impacts minority populations longerterm catastrophic outcomes. We need ready deal problems, Niekum said. This interview edited length clarity. Interview Highlights Does AI, left unregulated, spell end civilization? We dont know accurately communicate AI systems want do. So imagine I want teach robot jump. So I say, Hey, Im going reward inch ground. Maybe robot decides grab ladder climb accomplished goal I set it. But way thats different I wanted do. And maybe effects world. Maybe scratched ladder. Maybe I didnt want touching ladder place. And swap ladder robot selfdriving cars AI weapon systems things, statements literally things different wanted. Why scientists unleashed AI considering consequences? There huge upsides AI control it. But reasons statement feel like study safety regulation AI mitigation harms, shortterm longterm, understudied compared huge gain capabilities weve seen...And need time catch resources so. What harms experienced AI technology? A lot them, unfortunately, things do, fall higher burden minority populations. So, example, facial recognition systems work poorly Black people led false arrests. Misinformation gotten amplified systems...But spectrum. And systems capable, types risks levels risks certainly going continue increase. AI broad term. What kind technology talking about? AI thing. Its set technologies allow computers things us, learning data. This things simple elevator scheduling efficient way, ambulance versus ambulance figuring dispatch based bunch data current state affairs city patients. It way end extremely general agents. So like ChatGPT operates domain language different things. You write short story somebody, medical advice. You generate code hack bring dangers. And companies interested building called AGI, artificial general intelligence, colloquially, essentially means AI tasks human human level. 2023 NPR. 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] | 1 | 196,983 |
https://newsable.asianetnews.com/webstories/lifestyle/chatgpt-and-other-ai-tools-for-different-purposes-msw-rzopqp
| 2023-08-20T00:00:00 |
en
|
ChatGPT and other AI tools for different purposes
|
ChatGPT and other AI tools for different purposes
LifestyleChatGPT and other AI tools for different purposesAI is pivotal for agility in businesses. From content creation to predictive analytics, it transforms operations, enhancing productivity and efficiency.
Image credits: our ownChatGPTThis cutting-edge AI Chat assistant simplifies text tasks via user-friendly chat, and excels in code writing and blog editing.
Image credits: our ownJasperThis Versatile AI aids in tasks like content and AI image creation. It blends LLM with tailored data for refined results.
Image credits: our ownPictory AIThis AI-driven video generator transforms text into captivating branded videos. Converts written content, adds voiceovers, rich media for impactful videos.
Image credits: our ownScalenutAI writer for end-to-end content creation. Plans, outlines, generates, and optimizes content seamlessly. Ideal for fast creation, solo or team writing.
Image credits: our ownSurfer SEOThe AI-powered tool enhances content for improved search rankings and organic traffic. Perfect for marketers, creators, and site owners aiming for a competitive edge.
Image credits: our ownGitHub CopilotAI-driven coding assistant accelerates developers with code suggestions and auto-completion, boosting efficiency and accuracy in line with user input.
Image credits: our ownMidjourneyThis AI text-to-image creator crafts captivating visuals for social media, websites, and marketing. It empowers your content with unique visuals effortlessly.
Image credits: our ownFind Next One
|
ChatGPT and other AI tools for different purposes
|
ChatGPT AI tools different purposes LifestyleChatGPT AI tools differentpurposesAI pivotal agility businesses. From content creation predictive analytics, transforms operations, enhancing productivity efficiency. Image credits: ownChatGPTThis cuttingedge AI Chat assistant simplifies text tasks userfriendly chat, excels code writing blog editing. Image credits: ownJasperThis Versatile AI aids tasks like content AI image creation. It blends LLM tailored data refined results. Image credits: ownPictory AIThis AIdriven video generator transforms text captivating branded videos. Converts written content, adds voiceovers, rich media impactful videos. Image credits: ownScalenutAI writer endtoend content creation. Plans, outlines, generates, optimizes content seamlessly. Ideal fast creation, solo team writing. Image credits: ownSurfer SEOThe AIpowered tool enhances content improved search rankings organic traffic. Perfect marketers, creators, site owners aiming competitive edge. Image credits: ownGitHub CopilotAIdriven coding assistant accelerates developers code suggestions autocompletion, boosting efficiency accuracy line user input. Image credits: ownMidjourneyThis AI texttoimage creator crafts captivating visuals social media, websites, marketing. It empowers content unique visuals effortlessly. Image credits: ownFind Next One
| 2,023 |
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https://newsbrok.com/uncategorized/668725/artificial-intelligence-in-military-market-overview-on-key-innovations-2025/
| 2020-10-01T00:00:00 |
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Artificial Intelligence In Military Market – Overview on Key Innovations 2025 – The News Brok
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Artificial Intelligence In Military Market – Overview on Key Innovations 2025 – The News Brok
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Artificial Intelligence In Military Market – Overview on Key Innovations 2025
Post author
By supriya
Post date
October 1, 2020
This intensively research documentation articulating relevant details about growth initiators of the Artificial Intelligence In Military market has been designed to equip report readers and aspiring market participants with high end reference material to gauge into the nitty gritty of developments, events, trends as well as challenges and threats that influence growth prognosis in the global Artificial Intelligence In Military market.
An easy ready-to-refer guide to comprehend the market scenario and growth prospects have been highlighted and discussed in detail and enlisted as effective points in the following sections of this elaborate research report on Artificial Intelligence In Military market.
Get PDF Sample Copy of this Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.researchmoz.com/enquiry.php?type=S&repid=2757448&source=atm
The study encompasses profiles of major companies operating in the Artificial Intelligence In Military Market. Key players profiled in the report includes:
segment by Type, the product can be split into Learning and Intelligence Advanced Computing AI SystemsMarket segment by Application, split into Information Processing Cyber Security Others
Market segment by Regions/Countries, this report covers North America Europe China Japan Southeast Asia India Central & South America
Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.researchmoz.com/enquiry.php?type=E&repid=2757448&source=atm
Additionally, the report serves as a convenient guide to design and implement potential growth steering activities across select regional pockets in the Artificial Intelligence In Military market. Frontline players and their effective growth strategies are also enlisted in the report to emulate growth.
The report also is a collective hub to identify both upstream and downstream market developments and events comprising raw material sourcing as well as downstream demand prospects that harness an agile growth prognosis in the Artificial Intelligence In Military market.
A critical evaluation of market segmentation reveals that Artificial Intelligence In Military market is systematically classified into type and application
Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Artificial Intelligence In Military market mediates for superlative end-user benefits.
You can Buy This Report from Here @ https://www.researchmoz.com/checkout?rep_id=2757448&licType=S&source=atm
The Overall Unraveling Of The Artificial Intelligence In Military Market Is As Per The Following Determinants:
This report aims to holistically characterize and classify the Artificial Intelligence In Military market for superlative reader understanding
The report surveys and makes optimum forecast pertaining to market volume and value estimation
A thorough evaluation to investigate material sources and downstream purchase developments are echoed in the report
Elaborate references on purchaser needs, barrier analysis and opportunity assessment are also ingrained
Decoding Regional Overview of the Artificial Intelligence In Military Market
Further in its subsequent sections of the report, this mindful presentation of the Artificial Intelligence In Military market lends vital details on regional scope and development sprees highlighting potential growth spots.
– North America (U.S., Canada, Mexico)
– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
– Latin America (Brazil, Rest of L.A.)
– Middle East and Africa (Turkey, GCC, Rest of Middle East)
These details are indicated in the report to allow market players undertake a systematic analytical review of the Artificial Intelligence In Military market to arrive at logical conclusions governing the growth trajectory of the Artificial Intelligence In Military market and their subsequent implications on the growth of the aforementioned market.
Some Major TOC Points:
Chapter 1. Report Overview
Chapter 2. Global Growth Trends
Chapter 3. Market Share by Key Players
Chapter 4. Breakdown Data by Type and Application
Chapter 5. Market by End Users/Application
Chapter 6. COVID-19 Outbreak: Artificial Intelligence In Military Industry Impact
Chapter 7. Opportunity Analysis in Covid-19 Crisis
Chapter 9. Market Driving Force
And Many More…
Global Artificial Intelligence In Military Market Report: Research Methodology
What To Expect From The Report
A complete analysis of the Artificial Intelligence In Military market
Concrete and tangible alterations in market dynamics
A thorough study of dynamic segmentation of the Artificial Intelligence In Military market
A complete review of historical, current as well as potential foreseeable growth projections concerning volume and value
A holistic review of the vital market alterations and developments
Notable growth friendly activities of leading players
For More Information Kindly Contact:
ResearchMoz
Mr. Rohit Bhisey,
90 State Street,
Albany NY,
United States – 12207
Tel: +1-518-621-2074
USA-Canada Toll Free: 866-997-4948
Email: [email protected]
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Artificial Intelligence In Military Market Overview Key Innovations 2025 The News Brok Skip content The News BrokSpace, Science Energy Market Menu Coronavirus Energy News Space All News Industry Analysis Market Reports for: Close search Close Menu Coronavirus Energy News Space All News Industry Analysis Market Reports Categories All News Artificial Intelligence In Military Market Overview Key Innovations 2025 Post author By supriya Post date October 1, 2020 This intensively research documentation articulating relevant details growth initiators Artificial Intelligence In Military market designed equip report readers aspiring market participants high end reference material gauge nitty gritty developments, events, trends challenges threats influence growth prognosis global Artificial Intelligence In Military market. An easy readytorefer guide comprehend market scenario growth prospects highlighted discussed enlisted effective points following sections elaborate research report Artificial Intelligence In Military market. Get PDF Sample Copy Report understand structure complete report: luding Full TOC, List Tables Figures, Chart @ The study encompasses profiles major companies operating Artificial Intelligence In Military Market. Key players profiled report includes: segment Type, product split Learning Intelligence Advanced Computing AI SystemsMarket segment Application, split Information Processing Cyber Security Others Market segment RegionsCountries, report covers North America Europe China Japan Southeast Asia India Central South America Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] Additionally, report serves convenient guide design implement potential growth steering activities select regional pockets Artificial Intelligence In Military market. Frontline players effective growth strategies enlisted report emulate growth. The report collective hub identify upstream downstream market developments events comprising raw material sourcing downstream demand prospects harness agile growth prognosis Artificial Intelligence In Military market. A critical evaluation market segmentation reveals Artificial Intelligence In Military market systematically classified type application Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. Analysis Application: Further subsequent sections report, research analysts rendered precise judgement applications Artificial Intelligence In Military market mediates superlative enduser benefits. You Buy This Report Here @ The Overall Unraveling Of The Artificial Intelligence In Military Market Is As Per The Following Determinants: This report aims holistically characterize classify Artificial Intelligence In Military market superlative reader understanding The report surveys makes optimum forecast pertaining market volume value estimation A thorough evaluation investigate material sources downstream purchase developments echoed report Elaborate references purchaser needs, barrier analysis opportunity assessment ingrained Decoding Regional Overview Artificial Intelligence In Military Market Further subsequent sections report, mindful presentation Artificial Intelligence In Military market lends vital details regional scope development sprees highlighting potential growth spots. North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East These details indicated report allow market players undertake systematic analytical review Artificial Intelligence In Military market arrive logical conclusions governing growth trajectory Artificial Intelligence In Military market subsequent implications growth aforementioned market. Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share Key Players Chapter 4. Breakdown Data Type Application Chapter 5. Market End UsersApplication Chapter 6. COVID19 Outbreak: Artificial Intelligence In Military Industry Impact Chapter 7. Opportunity Analysis Covid19 Crisis Chapter 9. Market Driving Force And Many More Global Artificial Intelligence In Military Market Report: Research Methodology What To Expect From The Report A complete analysis Artificial Intelligence In Military market Concrete tangible alterations market dynamics A thorough study dynamic segmentation Artificial Intelligence In Military market A complete review historical, current potential foreseeable growth projections concerning volume value A holistic review vital market alterations developments Notable growth friendly activities leading players For More Information Kindly : ResearchMoz Mr. Rohit Bhisey, 90 State Street, Albany NY, United States 12207 Tel: 15186212074 USACanada Toll Free: 8669974948 Email: [emailprotected] Tags After Covid19 Artificial Intelligence In Military Market Opportunity, APAC Artificial Intelligence In Military Market Trend, China Artificial Intelligence In Military Market ShareCOVID19 Impact O Room Scheduling Service Tools Volume Analysis, Segments, Value Share Key Trends 20202020 for: Recent Posts Future Chemical Indicator Inks Market Analyzed New Study Artificial Intelligence In Military Market Overview Key Innovations 2025 Room Scheduling Service Tools Volume Analysis, Segments, Value Share Key Trends 20202020 Rugged Equipment Market Size Analysis 20202025 Automated Storage Retrieval System Market Set To A CAGR Growth Of XX Over The Forecast Period 2018 2026 2020 The News Brok Powered WordPress To Up
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Riding the Trend or Protecting Profits | Renalytix AI plc (RNLX) – News Heater
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Riding the Trend or Protecting Profits | Renalytix AI plc (RNLX) – News Heater
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Home » Hot Stocks » Riding the Trend or Protecting Profits | Renalytix...
Riding the Trend or Protecting Profits | Renalytix AI plc (RNLX)
Nicola Day
August 18, 2021
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Renalytix AI plc (NASDAQ:RNLX) went down by -23.51% from its latest closing price compared to the recent 1-year high of $35.71. The company’s stock price has collected -6.09% of loss in the last five trading sessions. Press Release reported on 07/28/21 that Renalytix Appoints Ann Berman to its Board of Directors
Is It Worth Investing in Renalytix AI plc (NASDAQ :RNLX) Right Now?
Opinions of the stock are interesting as 4 analysts out of 5 who provided ratings for Renalytix AI plc declared the stock was a “buy,” while 0 rated the stock as “overweight,” 1 rated it as “hold,” and 0 as “sell.”
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The average price from analysts is $41.59. RNLX currently public float of 5.91M and currently shorts hold a 8.00% ratio of that float. Today, the average trading volume of RNLX was 78.15K shares.
RNLX’s Market Performance
RNLX stocks went down by -6.09% for the week, with a monthly drop of -0.77% and a quarterly performance of -7.09%, while its annual performance rate touched 89.66%. The volatility ratio for the week stands at 6.45% while the volatility levels for the past 30 days are set at 7.15% for Renalytix AI plc. The simple moving average for the period of the last 20 days is -29.49% for RNLX stocks with a simple moving average of -15.51% for the last 200 days.
Analysts’ Opinion of RNLX
Many brokerage firms have already submitted their reports for RNLX stocks, with Berenberg repeating the rating for RNLX by listing it as a “Buy.” The predicted price for RNLX in the upcoming period, according to Berenberg is $38 based on the research report published on July 02nd of the current year 2021.
RNLX Trading at -30.53% from the 50-Day Moving Average
After a stumble in the market that brought RNLX to its low price for the period of the last 52 weeks, the company was unable to rebound, for now settling with -41.87% of loss for the given period.
Volatility was left at 7.15%, however, over the last 30 days, the volatility rate increased by 6.45%, as shares sank -29.99% for the moving average over the last 20 days. Over the last 50 days, in opposition, the stock is trading -32.70% lower at present.
During the last 5 trading sessions, RNLX fell by -26.65%, which changed the moving average for the period of 200-days by +57.10% in comparison to the 20-day moving average, which settled at $28.99. In addition, Renalytix AI plc saw 69.62% in overturn over a single year, with a tendency to cut further gains.
Stock Fundamentals for RNLX
The total capital return value is set at -46.53, while invested capital returns managed to touch -44.53.
Based on Renalytix AI plc (RNLX), the company’s capital structure generated 1.60 points at debt to equity in total, while total debt to capital is 1.58. Total debt to assets is 1.22, with long-term debt to equity ratio resting at 0.85. Finally, the long-term debt to capital ratio is 0.84.
>> 7 Top Picks for the Post-Pandemic Economy <<
The liquidity ratio also appears to be rather interesting for investors as it stands at 4.51.
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Riding the Trend or Protecting Profits
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Riding Trend Protecting Profits Renalytix AI plc RNLX News Heater Skip content Home Stock IdeasMenu Toggle Morning Brief Equity Research Analyst Insight About NewsheaterMenu Toggle Authors Us Main Menu Home Hot Stocks Riding Trend Protecting Profits Renalytix... Riding Trend Protecting Profits Renalytix AI plc RNLX Nicola Day August 18, 2021 Hot Stocks Share facebook Share twitter Share linkedin Share whatsapp Renalytix AI plc NASDAQ:RNLX went 23.51 latest closing price compared recent 1year high 35.71. The companys stock price collected 6.09 loss trading sessions. Press Release reported 072821 Renalytix Appoints Ann Berman Board Directors Is It Worth Investing Renalytix AI plc NASDAQ :RNLX Right Now? Opinions stock interesting 4 analysts 5 provided ratings Renalytix AI plc declared stock buy, 0 rated stock overweight, 1 rated hold, 0 sell. 3 Tiny Stocks Primed Explode The worlds greatest investor Warren Buffett simple formula making big money markets. He buys valuable assets cheap. For stock market investors means buying cheap small cap stocks like huge upside potential. Weve set alert service help smart investors advantage small cap stocks primed big returns. Click details join free Sponsored The average price analysts 41.59. RNLX currently public float 5.91M currently shorts hold 8.00 ratio float. Today, average trading volume RNLX 78.15K shares. RNLXs Market Performance RNLX stocks went 6.09 week, monthly drop 0.77 quarterly performance 7.09, annual performance rate touched 89.66. The volatility ratio week stands 6.45 volatility levels past 30 days set 7.15 Renalytix AI plc. The simple moving average period 20 days 29.49 RNLX stocks simple moving average 15.51 200 days. Analysts Opinion RNLX Many brokerage firms submitted reports RNLX stocks, Berenberg repeating rating RNLX listing Buy. The predicted price RNLX upcoming period, according Berenberg 38 based research report published July 02nd current year 2021. RNLX Trading 30.53 50Day Moving Average After stumble market brought RNLX low price period 52 weeks, company unable rebound, settling 41.87 loss given period. Volatility left 7.15, however, 30 days, volatility rate increased 6.45, shares sank 29.99 moving average 20 days. Over 50 days, opposition, stock trading 32.70 lower present. During 5 trading sessions, RNLX fell 26.65, changed moving average period 200days 57.10 comparison 20day moving average, settled 28.99. In addition, Renalytix AI plc saw 69.62 overturn single year, tendency cut gains. Stock Fundamentals RNLX The total capital return value set 46.53, invested capital returns managed touch 44.53. Based Renalytix AI plc RNLX, companys capital structure generated 1.60 points debt equity total, total debt capital 1.58. Total debt assets 1.22, longterm debt equity ratio resting 0.85. Finally, longterm debt capital ratio 0.84. >> 7 Top Picks PostPandemic Economy << The liquidity ratio appears interesting investors stands 4.51. Sign FREE Newsletter get: Get The Best Stocks To Trade Every Single Morning Top Upgrades Downgrades Most Recent Insider Trades Important Earnings To Watch Leave Comment Cancel ReplyYour email address published. Required fields marked Type here..Name Email Website Save name, email, website browser time I comment. We Analyzed Future Direction Valero Energy Corporation VLO, Here What We Found August 18, 2021 Can LendingClub Corporation LC Remain Competitive? August 18, 2021 Is There Dimmer Outlook Ahead Becton Dickinson Company BDX? August 18, 2021 Sign FREE Newsletter get: Get The Best Stocks To Trade Every Single Morning Top Upgrades Downgrades Most Recent Insider Trades Important Earnings To Watch We Analyzed Future Direction Valero Energy Corporation VLO, Here What We Found August 18, 2021 No Comments Valero Energy Corporation NYSE:VLO went 1.60 latest closing price compared recent 1year high 84.95. The companys stock price Can LendingClub Corporation LC Remain Competitive? August 18, 2021 No Comments LendingClub Corporation NYSE:LC went 5.58 latest closing price compared recent 1year high 29.72. The companys stock price Is There Dimmer Outlook Ahead Becton Dickinson Company BDX? August 18, 2021 No Comments Becton Dickinson Company NYSE:BDX went 1.55 latest closing price compared recent 1year high 267.37. The companys stock Pershing Square Tontine Holdings Ltd. PSTH: Skating Thin Ice? We Know Answer August 18, 2021 No Comments Pershing Square Tontine Holdings Ltd. NYSE:PSTH went 0.55 latest closing price compared recent 1year high 34.10. The companys NewsHeater specialized investments tech sphere. Its specialists interested stocks undervalued different reasons. They trying them, count potential bring clients. Navigation About Authors US Morning Brief Stocks Ideas Equity Research Analyst insight Newsletter Get hottest stocks trade day market opens 100 free. 2021 Heading SPECIAL GIFT WE HAVE A GIFT FOR YOU Download Free eBook For 7 GROWTH STOCKS FOR 2021 Get Your Free eBook 100 free. stop anytime spam Heading SPECIAL GIFT WE HAVE A GIFT FOR YOU Download Free eBook For 7 GROWTH STOCKS FOR 2021 Get Your Free eBook 100 free. stop anytime spam About NewsheaterAuthors UsHomeThank You
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Conversational AI Platform Market: Worldwide Demand, Growth Potential & Opportunity Outlook 2026 – News Parent
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Bio Technology / Electronics / Emerging News / Market ReportsConversational AI Platform Market: Worldwide Demand, Growth Potential & Opportunity Outlook 2026
February 18, 2020 - by Sally Mach - Leave a Comment
Growing Opportunities in Global Conversational AI Platform Industry 2020
The market report envelopes all-in information on the global Conversational AI Platform Market and the nature of the market growth over the foreseeable period. The report provides a comprehensive elaboration of the positives and negatives of the global Conversational AI Platform market with Regression Analysis, S.T.E.E.P.L.E and Porter’s Five Forces Analysis. With SWOT analysis, the report offers detailed insights about different players operating within the Conversational AI Platform market. In addition, the analysts of the report have served the qualitative and quantitative scrutinizing of different micro- and macro-economic factors influencing the global Conversational AI Platform market.
The Conversational AI Platform market report examines the consumption pattern of each segment and the factors affecting the pattern. In addition, the report focuses on the production footprint of each segment in various industries and regions across the globe.
Interpret a Competitive Outlook Analysis with Sample Report: https://www.acquiremarketresearch.com/sample-request/306812/
The Conversational AI Platform market report helps the readers grasp the changing trend in the industry supply chain, manufacturing techniques and expenses, and the current scenario of the end-users in the global Conversational AI Platform market.
All the players running in the global Conversational AI Platform market are elaborated thoroughly in the Conversational AI Platform market report on the basis of proprietary technologies, distribution channels, industrial penetration, manufacturing processes, and revenue. In addition, the report examines R&D developments, legal policies, and strategies defining the competitiveness of the Conversational AI Platform market players.
IBM, Avaamo, Just AI, LivePerson, Kasisto, Georgian Partners, Cognigy, Botjet
Product type Coverage (Market Size & Forecast, Major Company of Product type, etc.):
Web-Based, Installed, iOS, Android
Application Coverage (Market Size & Forecast, Different Demand Market by Region, Main Consumer Profile, etc.):
Personal Use, Business Use
This report studies the global market size of Conversational AI Platform especially focuses on key regions like the United States, European Union, China, and other regions (Japan, Korea, India and Southeast Asia).
The Report Comprises the Following Aspects of the Market:
Inputs of Historical Illustration: 2014 to 2018; Growth Estimation: 2020 to 2026.
Proficient Analysis of Industry, Innovation, Development, Contemporary Trends, Threats, and SWOT.
Forecasts of Market: Main products and geographies and leading divisions including applications.
Competitive Landscape Picture: Market drivers and top players, the abilities of companies with regards to manufacturing as well as continuation and potentials.
Any query?Enquire Here For Discount Or Report Customization (Use Corporate email ID to Get Higher Priority): https://www.acquiremarketresearch.com/enquire-before/306812/
Major Highlights of the Conversational AI Platform Market Report:
Conversational AI Platform Market Overview, Market shares, and strategies of key players, Sales Market Forecast, Industry Analysis of Conversational AI Platform Market and its Driving Factor Analysis, Market Competition Status by Major Key players, Upstream and Downstream Market Analysis of Conversational AI Platform Market. It also Contains Cost and Gross Margin Analysis of Conversational AI Platform Market.
Conversational AI Platform Market
After reading the Conversational AI Platform market report, readers can:
• Understand the drivers, restraints, opportunities and trends that impact the overall growth of the Conversational AI Platform market.
• Grasp the market outlook in terms of value and volume.
• Study the strengths, weaknesses, opportunities and threats of each stakeholder operating in the Conversational AI Platform market.
• Learn about the manufacturing techniques of Conversational AI Platform in brief.
• Figure out the positive and negative factors impacting product sales.
Browse the full report Description, TOC and Table of Figure @ https://www.acquiremarketresearch.com/industry-reports/conversational-ai-platform-market/306812/
Customization Available
With the given market data, Researchers offer customizations according to the company’s specific needs. The following customization options are available for the report:
Regional and country-level analysis of the Conversational AI Platform market, by end-use.
Detailed analysis and profiles of additional market players.
About us:
Acquire Market Research is a market research-based company empowering companies with data-driven insights. We provide Market Research Reports with accurate and well-informed data, Real-Time with Real Application. A good research methodology proves to be powerful and simplified information that applied right from day-to-day lives to complex decisions helps us navigate through with vision, purpose and well-armed strategies. At Acquire Market Research, we constantly strive for innovation in the techniques and the quality of analysis that goes into our reports.
Contact Us:
Sally Mach
555 Madison Avenue,
5th Floor, Manhattan,
New York, 10022 USA
Phone No.: +1 (800) 663-5579
Email ID: [email protected]
TaggedAvaamoConversational AI PlatformConversational AI Platform MarketConversational AI Platform Market Future TrendsConversational AI Platform Market In AsiaConversational AI Platform Market In AustraliaConversational AI Platform Market In EuropeConversational AI Platform Market In FranceGeorgian PartnersIBMJust AIKasistoLivePerson
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Conversational AI Platform Market: Worldwide Demand, Growth Potential & Opportunity Outlook 2026
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Conversational AI Platform Market: Worldwide Demand, Growth Potential Opportunity Outlook 2026 News Parent Skip content Top Menu February 18, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Bio Technology Electronics Emerging News Market ReportsConversational AI Platform Market: Worldwide Demand, Growth Potential Opportunity Outlook 2026 February 18, 2020 Sally Mach Leave Comment Growing Opportunities Global Conversational AI Platform Industry 2020 The market report envelopes allin information global Conversational AI Platform Market nature market growth foreseeable period. The report provides comprehensive elaboration positives negatives global Conversational AI Platform market Regression Analysis, S.T.E.E.P.L.E Porters Five Forces Analysis. With SWOT analysis, report offers detailed insights different players operating Conversational AI Platform market. In addition, analysts report served qualitative quantitative scrutinizing different micro macroeconomic factors influencing global Conversational AI Platform market. The Conversational AI Platform market report examines consumption pattern segment factors affecting pattern. In addition, report focuses production footprint segment industries regions globe. Interpret Competitive Outlook Analysis Sample Report: The Conversational AI Platform market report helps readers grasp changing trend industry supply chain, manufacturing techniques expenses, current scenario endusers global Conversational AI Platform market. All players running global Conversational AI Platform market elaborated thoroughly Conversational AI Platform market report basis proprietary technologies, distribution channels, industrial penetration, manufacturing processes, revenue. In addition, report examines RD developments, legal policies, strategies defining competitiveness Conversational AI Platform market players. IBM, Avaamo, Just AI, LivePerson, Kasisto, Georgian Partners, Cognigy, Botjet Product type Coverage Market Size Forecast, Major Company Product type, etc.: WebBased, Installed, iOS, Android Application Coverage Market Size Forecast, Different Demand Market Region, Main Consumer Profile, etc.: Personal Use, Business Use This report studies global market size Conversational AI Platform especially focuses key regions like United States, European Union, China, regions Japan, Korea, India Southeast Asia. The Report Comprises Following Aspects Market: Inputs Historical Illustration: 2014 2018; Growth Estimation: 2020 2026. Proficient Analysis Industry, Innovation, Development, Contemporary Trends, Threats, SWOT. Forecasts Market: Main products geographies leading divisions including applications. Competitive Landscape Picture: Market drivers players, abilities companies regards manufacturing continuation potentials. Any query?Enquire Here For Discount Or Report Customization Use Corporate email ID Get Higher Priority: Major Highlights Conversational AI Platform Market Report: Conversational AI Platform Market Overview, Market shares, strategies key players, Sales Market Forecast, Industry Analysis Conversational AI Platform Market Driving Factor Analysis, Market Competition Status Major Key players, Upstream Downstream Market Analysis Conversational AI Platform Market. It Contains Cost Gross Margin Analysis Conversational AI Platform Market. Conversational AI Platform Market After reading Conversational AI Platform market report, readers can: Understand drivers, restraints, opportunities trends impact overall growth Conversational AI Platform market. Grasp market outlook terms value volume. Study strengths, weaknesses, opportunities threats stakeholder operating Conversational AI Platform market. Learn manufacturing techniques Conversational AI Platform brief. Figure positive negative factors impacting product sales. Browse report Description, TOC Table Figure @ Customization Available With given market data, Researchers offer customizations according companys specific needs. The following customization options available report: Regional countrylevel analysis Conversational AI Platform market, enduse. Detailed analysis profiles additional market players. About us: Acquire Market Research market researchbased company empowering companies datadriven insights. We provide Market Research Reports accurate wellinformed data, RealTime Real Application. A good research methodology proves powerful simplified information applied right daytoday lives complex decisions helps navigate vision, purpose wellarmed strategies. At Acquire Market Research, constantly strive innovation techniques quality analysis goes reports. Us: Sally Mach 555 Madison Avenue, 5th Floor, Manhattan, New York, 10022 USA Phone No.: 1 800 6635579 Email ID: [emailprotected] TaggedAvaamoConversational AI PlatformConversational AI Platform MarketConversational AI Platform Market Future TrendsConversational AI Platform Market In AsiaConversational AI Platform Market In AustraliaConversational AI Platform Market In EuropeConversational AI Platform Market In FranceGeorgian PartnersIBMJust AIKasistoLivePerson Related Posts Global Credential Stuffing Protection Market 2020 Industry overview, supply demand analysis forecast 2026 February 18, 2020 Corporate IP Telephony Software Market 2020 InDepth Analysis Industry Share, Size, Growth Outlook 2026 February 18, 2020 Continuous Improvement Software CIS Market: Rise idence Chronic Drive Market February 18, 2020 Post navigation Previous Article Know Detail Gastrointestinal Biopsy Forcep Market Top Players like Olympus, Boston Scientific, Cook Medical, Johnson JohnsonNext Article Liver Biopsy System Surge Market Growth Is Getting Started About Sally Mach Acquire Market Research market researchbased company empowering companies datadriven insights. We provide Market Research Reports accurate wellinformed data, RealTime Real Application. A good research methodology proves powerful simplified information applied right daytoday lives complex decisions helps navigate vision, purpose wellarmed strategies. View posts Sally Mach Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Global Luxury Ring Market Growth, Analysis Industry Forecast 20202026: De Beers, Graff, Tiffany Co, etc. Pin Marking Machine Market Study: An Introduction Fundamental Charting Global Credential Stuffing Protection Market 2020 Industry overview, supply demand analysis forecast 2026 Medical Binocular Loupe Market Outlook: Poised For Strong 2020 Global Intelligent Sanitary Ware Market 2020 Share Forecast 2026: TOTO, Orans Co, INAX, etc. Founded 2K18,News Parentfocuses company news, research, andanalysis, moreimportantin recentlys uncertain investment environment. We provide comprehensive coverage mostimportantnews counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. 2020 News Parent. Powered WordPress HitMag.
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] | 1 | 196,987 |
https://newsparent.com/healthcare-artificial-intelligence-market-key-trends-manufacturers-in-globe-benefits-opportunities-to-2025/
| 2020-03-27T00:00:00 |
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Healthcare Artificial Intelligence Market Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2025 – News Parent
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Healthcare Artificial Intelligence Market Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2025 – News Parent
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Emerging NewsHealthcare Artificial Intelligence Market Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2025
March 27, 2020 - by Alex - Leave a Comment
Healthcare Artificial Intelligence Market
UpMarketResearch, 26-03-2020: The research report on the Healthcare Artificial Intelligence Market is a deep analysis of the market. Experts have studied the historical data and compared it with the changing market situations. The report covers all the necessary information required by new entrants as well as the existing players to gain deeper insight.
Furthermore, the statistical survey in the report focuses on product specifications, costs, production capacities, marketing channels, and market players. Upstream raw materials, downstream demand analysis, and a list of end-user industries have been studied systematically, along with the suppliers in this market. The product flow and distribution channel have also been presented in this research report.
Get a PDF Copy of the Sample Report for Free @ https://www.upmarketresearch.com/home/requested_sample/34821
The Major Manufacturers Covered in this Report:IBM Watson HealthAiCureAtomwiseCyrcadia HealthLifegraphModernizing MedicineSenselyZebra Medical VisionSophia GeneticsiCarbonXWelltokButterfly NetworkAPIXIOPathway GenomicsEnliticInsilico Medici
The Research Study Focuses on:
Market Position of Vendors
Vendor Landscape
Competitive scenario
Manufacturing Cost Structure Analysis
Recent Development and Expansion Plans
Industry Chain Structure
By Types:Type IType II
By Applications:Medical Imaging & DiagnosisDrug DiscoveryOther
By Regions:
North America (The US, Canada, and Mexico)
Europe (the UK, Germany, France, and Rest of Europe)
Asia Pacific (China, India, and Rest of Asia Pacific)
Latin America (Brazil and Rest of Latin America)
Middle East & Africa (Saudi Arabia, the UAE, South Africa, and Rest of Middle East & Africa)
To get this report at incredible Discounts, visit @ https://www.upmarketresearch.com/home/request_for_discount/34821
The Healthcare Artificial Intelligence Market Report Consists of the Following Points:
The report consists of an overall prospect of the market that helps gain significant insights about the global market.
The market has been categorized based on types, applications, and regions. For an in-depth analysis and better understanding of the market, the key segments have been further categorized into sub-segments.
The factors responsible for the growth of the market have been mentioned. This data has been gathered from primary and secondary sources by industry professionals. This provides an in-depth understanding of key segments and their future prospects.
The report analyses the latest developments and the profiles of the leading competitors in the market.
The Healthcare Artificial Intelligence Market research report offers an eight-year forecast.
Make an Inquiry of the Healthcare Artificial Intelligence Market Report @ https://www.upmarketresearch.com/home/enquiry_before_buying/34821
In conclusion, the Healthcare Artificial Intelligence Market report is a reliable source for accessing the research data that is projected to exponentially accelerate your business. The report provides information such as economic scenarios, benefits, limits, trends, market growth rate, and figures. SWOT analysis is also incorporated in the report along with speculation attainability investigation and venture return investigation.
About UpMarketResearch:Up Market Research (https://www.upmarketresearch.com) is a leading distributor of market research report with more than 800+ global clients. As a market research company, we take pride in equipping our clients with insights and data that holds the power to truly make a difference to their business. Our mission is singular and well-defined – we want to help our clients envisage their business environment so that they are able to make informed, strategic and therefore successful decisions for themselves.
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TaggedHealthcare Artificial Intelligence MarketHealthcare Artificial Intelligence Market AnalysisHealthcare Artificial Intelligence Market forecastHealthcare Artificial Intelligence Market playersHealthcare Artificial Intelligence Market scopeHealthcare Artificial Intelligence Market shareHealthcare Artificial Intelligence Market SizeHealthcare Artificial Intelligence Market Trends
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Healthcare Artificial Intelligence Market Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2025
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Healthcare Artificial Intelligence Market Key Trends, Manufacturers Globe, Benefits, Opportunities 2025 News Parent Skip content Top Menu March 27, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Emerging NewsHealthcare Artificial Intelligence Market Key Trends, Manufacturers Globe, Benefits, Opportunities 2025 March 27, 2020 Alex Leave Comment Healthcare Artificial Intelligence Market UpMarketResearch, 26032020: The research report Healthcare Artificial Intelligence Market deep analysis market. Experts studied historical data compared changing market situations. The report covers necessary information required new entrants existing players gain deeper insight. Furthermore, statistical survey report focuses product specifications, costs, production capacities, marketing channels, market players. Upstream raw materials, downstream demand analysis, list enduser industries studied systematically, suppliers market. The product flow distribution channel presented research report. Get PDF Copy Sample Report Free @ The Major Manufacturers Covered Report:IBM Watson HealthAiCureAtomwiseCyrcadia HealthLifegraphModernizing MedicineSenselyZebra Medical VisionSophia GeneticsiCarbonXWelltokButterfly NetworkAPIXIOPathway GenomicsEnliticInsilico Medici The Research Study Focuses on: Market Position Vendors Vendor Landscape Competitive scenario Manufacturing Cost Structure Analysis Recent Development Expansion Plans Industry Chain Structure By Types:Type IType II By Applications:Medical Imaging DiagnosisDrug DiscoveryOther By Regions: North America The US, Canada, Mexico Europe UK, Germany, France, Rest Europe Asia Pacific China, India, Rest Asia Pacific Latin America Brazil Rest Latin America Middle East Africa Saudi Arabia, UAE, South Africa, Rest Middle East Africa To report incredible Discounts, visit @ The Healthcare Artificial Intelligence Market Report Consists Following Points: The report consists overall prospect market helps gain significant insights global market. The market categorized based types, applications, regions. For indepth analysis better understanding market, key segments categorized subsegments. The factors responsible growth market mentioned. This data gathered primary secondary sources industry professionals. This provides indepth understanding key segments future prospects. The report analyses latest developments profiles leading competitors market. The Healthcare Artificial Intelligence Market research report offers eightyear forecast. Make Inquiry Healthcare Artificial Intelligence Market Report @ In conclusion, Healthcare Artificial Intelligence Market report reliable source accessing research data projected exponentially accelerate business. The report provides information economic scenarios, benefits, limits, trends, market growth rate, figures. SWOT analysis incorporated report speculation attainability investigation venture return investigation. About UpMarketResearch:Up Market Research leading distributor market research report 800 global clients. As market research company, pride equipping clients insights data holds power truly difference business. Our mission singular welldefined want help clients envisage business environment able informed, strategic successful decisions themselves. Info UpMarketResearchName Alex MathewsEmail [emailprotected]Organization UpMarketResearchAddress 500 East E Street, Ontario, CA 91764, United States. TaggedHealthcare Artificial Intelligence MarketHealthcare Artificial Intelligence Market AnalysisHealthcare Artificial Intelligence Market forecastHealthcare Artificial Intelligence Market playersHealthcare Artificial Intelligence Market scopeHealthcare Artificial Intelligence Market shareHealthcare Artificial Intelligence Market SizeHealthcare Artificial Intelligence Market Trends Related Posts Automative Brake Systems Market Expert Guide Boost Industry Global Market Share March 27, 2020 Magnesium Aluminate Market Growth Rate, Demands, Status And Application Forecast To 2025 March 27, 2020 Aluminum Oxynitride ALON Market Global Industry Analysis, Size, Share, Growth, Trends, And Forecasts 20192025 March 27, 2020 Post navigation Previous Article Cork Stoppers Market: Detailed Technological Insights 20202030Next Article Qualitative Analysis Competitive Industry Scenario Intimate Wear Market About Alex View posts Alex Leave Reply Cancel replyYour email address published. 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Technological Insights of Artificial Intelligence (AI) in Agriculture Market from 2020-2030 – News Parent
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Emerging News / Market ReportsTechnological Insights of Artificial Intelligence (AI) in Agriculture Market from 2020-2030
March 18, 2020 - by shweta.r - Leave a Comment
“Prophecy Market Insights has recently published a Artificial Intelligence (AI) in Agriculture report which represents the latest industry data and future trends, allowing users to recognize the products and driving revenue growth and profitability of the market.
The report offers a broad analysis of key segments, key drivers, regions, and leading market players. The report contains an analysis of different geographical areas and presents a competitive scenario to promote leading market players, new entrants, and investors determine emerging economies. The key highlights offered in the report would benefit market players to formulate strategies for the future and gain a strong position in the Artificial Intelligence (AI) in Agriculture market.
Get Sample Copy of This Report @ https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/365
The Artificial Intelligence (AI) in Agriculture report begins with a brief introduction which contains a market overview of the industry followed by its market size and research scope. Further, the report provides an overview of market segmentation, for example- type, application, and region. The drivers, restraints, and opportunities for the market are also mentioned, along with current policies and trends in the industry. The Artificial Intelligence (AI) in Agriculture market also covers PEST analysis for the market. This analysis provides information based on four external factors (political, economic, social and technological) in relation to your business situation. Basically, it helps to understand how these factors will affect the performance and activities of your business in the long-term. The report describes the growth rate of each segment in-depth with the help of charts and tables. Moreover, various regions related to the growth of the Artificial Intelligence (AI) in Agriculture market are analyzed in the report. These regions include North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.
Segmentation Overview:
By Application (Precision Farming, Livestock Monitoring, Drone Analytics, and Agriculture Robots)
By Technology (Machine Learning, Computer Vision, and Predictive Analytics)
By Offering (Hardware, Software, AI-as-a-Service, and Service)
By Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa)
Artificial Intelligence (AI) in Agriculture market report states the overview, historical data along with size, share, growth, demand, and revenue of the global industry. In this research report, there is an accurate analysis of the current and upcoming opportunities in the market by explaining the fastest and largest growing segments across regions. The survey report includes vast investigation of the geographical scene of the Artificial Intelligence (AI) in Agriculture market, which is manifestly arranged into the localities
Region
Countries
North America
U.S. & Canada
Europe
U.K., Germany, France, Italy, Spain, Hungary, BENELUX, NORDIC, Rest of Europe
Asia-Pacific
China, India, Japan, South Korea
Australia, New Zealand, Rest of Asia-Pacific
Latin America
Brazil, Mexico, Argentina, Rest of Latin America
Middle East and Africa
Israel, GCC, South Africa, Rest of Middle East and Africa
The study presents the performance of each player active in the Artificial Intelligence (AI) in Agriculture market. It also provides a summary and highlights the current advancements of each player in the market along with its SWOT analysis. The information provided in the research report is a great source for study investors and stakeholders interested in the market. In addition, the report offers insights on buyers, suppliers, and merchants in the market. There is a comprehensive analysis of consumption, market share, and growth rate of each application is offered for the historic period.
Company Profile
Company overview
Product Portfolio
Key Highlights
Financial Overview
Business Strategies
Artificial Intelligence (AI) in Agriculture Market Key Players:
Agribotix LLC., Bayer CropScience AG., Case IH Agriculture Inc., Clear Ag Operations Inc., John Deere Company Inc., Farmers Edge Inc., Granular AG., Grownetics Inc., International Business Machines Corp., Mapshots Inc., and SST Software B.V.
Download PDF Brochure for report overview @ https://www.prophecymarketinsights.com/market_insight/Insight/request-pdf/365
Some important questions answered in Artificial Intelligence (AI) in Agriculture Market Report are:
What will be the market size of the Artificial Intelligence (AI) in Agriculture showcase in 2029?
What are the key trends in Artificial Intelligence (AI) in Agriculture market?
Who are the key manufacturer/players in this market space?
What are the key factors driving the Global Artificial Intelligence (AI) in Agriculture market?
What are the challenges to market growth?
Who are the distributors, traders and dealers of Artificial Intelligence (AI) in Agriculture Market?
What are the market opportunities and threats faced by the vendors in this market?
How revenue of this Artificial Intelligence (AI) in Agriculture industry in previous & next coming years?
Get In-depth TOC @ https://www.prophecymarketinsights.com/market_insight/Global-Artificial-Intelligence-AI-in-365
Contact Us:
Mr. Alex (Sales Manager)
Prophecy Market Insights
Phone: +1 860 531 2701
Email: [email protected]
To know about our blog:-
https://sid4th.blogspot.com/2020/02/advanced-carbon-materials-market.html
Tagged"Artificial Intelligence (AI) in Agriculture MarketArtificial Intelligence (AI) in Agriculture Market CompaniesArtificial Intelligence (AI) in Agriculture Market ShareArtificial Intelligence (AI) in Agriculture Market SizeArtificial Intelligence (AI) in Agriculture Market Size TrendsGlobal Artificial Intelligence (AI) in Agriculture MarketProphecy Market Insights"
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Technological Insights of Artificial Intelligence (AI) in Agriculture Market from 2020-2030
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Technological Insights Artificial Intelligence AI Agriculture Market 20202030 News Parent Skip content Top Menu March 18, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Emerging News Market ReportsTechnological Insights Artificial Intelligence AI Agriculture Market 20202030 March 18, 2020 shweta.r Leave Comment Prophecy Market Insights recently published Artificial Intelligence AI Agriculture report represents latest industry data future trends, allowing users recognize products driving revenue growth profitability market. The report offers broad analysis key segments, key drivers, regions, leading market players. The report contains analysis different geographical areas presents competitive scenario promote leading market players, new entrants, investors determine emerging economies. The key highlights offered report benefit market players formulate strategies future gain strong position Artificial Intelligence AI Agriculture market. Get Sample Copy This Report @ The Artificial Intelligence AI Agriculture report begins brief introduction contains market overview industry followed market size research scope. Further, report provides overview market segmentation, example type, application, region. The drivers, restraints, opportunities market mentioned, current policies trends industry. The Artificial Intelligence AI Agriculture market covers PEST analysis market. Thisanalysisprovides information based external factors political, economic, social technological relation business situation. Basically, helps understand factorswillaffect performance activities business longterm. The report describes growth rate segment indepth help charts tables. Moreover, regions related growth Artificial Intelligence AI Agriculture market analyzed report. These regions include North America, Europe, AsiaPacific, Middle East Africa, Latin America. Segmentation Overview: By Application Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots By Technology Machine Learning, Computer Vision, Predictive Analytics By Offering Hardware, Software, AIasaService, Service By Region North America, Europe, Asia Pacific, Latin America, Middle East, Africa Artificial Intelligence AI Agriculture market report states overview, historical data size, share, growth, demand, revenue global industry. In research report, accurate analysis current upcoming opportunities market explaining fastest largest growing segments regions. The survey report includes vast investigation geographical scene Artificial Intelligence AI Agriculture market, manifestly arranged localities Region Countries North America U.S. Canada Europe U.K., Germany, France, Italy, Spain, Hungary, BENELUX, NORDIC, Rest Europe AsiaPacific China, India, Japan, South Korea Australia, New Zealand, Rest AsiaPacific Latin America Brazil, Mexico, Argentina, Rest Latin America Middle East Africa Israel, GCC, South Africa, Rest Middle East Africa The study presents performance player active Artificial Intelligence AI Agriculture market. It provides summary highlights current advancements player market SWOT analysis. The information provided research report great source study investors stakeholders interested market. In addition, report offers insights buyers, suppliers, merchants market. There comprehensive analysis consumption, market share, growth rate application offered historic period. Company Profile Company overview Product Portfolio Key Highlights Financial Overview Business Strategies Artificial Intelligence AI AgricultureMarket Key Players: Agribotix LLC., Bayer CropScience AG., Case IH Agriculture ., Clear Ag Operations ., John Deere Company ., Farmers Edge ., Granular AG., Grownetics ., International Business Machines Corp., Mapshots ., SST Software B.V. Download PDF Brochure report overview @ Some important questions answered Artificial Intelligence AI Agriculture Market Report are: What market size Artificial Intelligence AI Agriculture showcase 2029? What key trends Artificial Intelligence AI Agriculture market? Who key manufacturerplayers market space? What key factors driving Global Artificial Intelligence AI Agriculture market? What challenges market growth? Who distributors, traders dealers Artificial Intelligence AI Agriculture Market? What market opportunities threats faced vendors market? How revenue Artificial Intelligence AI Agriculture industry previous coming years? Get Indepth TOC @ Us: Mr. Alex Sales Manager Prophecy Market Insights Phone: 1 860 531 2701 Email: [emailprotected] To know blog: TaggedArtificial Intelligence AI Agriculture MarketArtificial Intelligence AI Agriculture Market CompaniesArtificial Intelligence AI Agriculture Market ShareArtificial Intelligence AI Agriculture Market SizeArtificial Intelligence AI Agriculture Market Size TrendsGlobal Artificial Intelligence AI Agriculture MarketProphecy Market Insights Related Posts Active Pharma Ingredient Market Segmentation By Qualitative And Quantitative Research orporating Impact Of Economic And NonEconomic Aspects By 2027 March 18, 2020 How Solar Led Garden Light Market Will Dominate In Coming Years? March 18, 2020 Laryngoscope Handle Market Emerging Players May Yields New Opportunities 20202027 March 18, 2020 Post navigation Previous Article Seed Treatment Market: Regional Analysis Strategies Forecasted Period 20202030Next Article 2020 Prediction Almond Oil market: Key Players Driving Factors Analysis About shweta.r View posts shweta.r Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Logging Cable Market : Value Chain, Dynamics Key Players 20192025 Traffic Cameras Market Growth Analyzed Low Intensity Infrared Tube Heaters Market : Quantitative Market Analysis, Current Future Trends, 20192025 Offshore Wind Turbines Remain Lucrative During 20192025 Wearable Sensor Market Future Growth Strategies 2025 Founded 2K18,News Parentfocuses company news, research, andanalysis, moreimportantin recentlys uncertain investment environment. We provide comprehensive coverage mostimportantnews counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. 2020 News Parent. Powered WordPress HitMag.
| 2,020 |
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https://nextbigwhat.com/ibm-introduces-new-ai-services-including-generative-models/
| 2023-05-09T00:00:00 |
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IBM introduces new AI services, including generative models
|
IBM introduces new AI services, including generative models
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Home IBM introduces new AI services, including generative models
IBM introduces new AI services, including generative models
Image Credit: Techcrunch
IBM is investing heavily in AI.
At its Think conference, the company announced IBM Watsonx, a new platform that provides tools to build AI models and access to pretrained models for generating computer code, text, and more.
This is a strategic move to stay competitive in the AI market.
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IBM introduces new AI services, including generative models
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IBM introduces new AI services, including generative models nextbigwhat Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories We Hiring nextbigwhat heart startups Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories We Hiring for: Home IBM introduces new AI services, including generative models IBM introduces new AI services, including generative models Image Credit: Techcrunch IBM investing heavily AI. At Think conference, company announced IBM Watsonx, new platform provides tools build AI models access pretrained models generating code, text, more. This strategic stay competitive AI market. 0 0 0 Share 0 Tweet 0 Share 0 Via Sign Up nextbigwhat newsletter The smartest newsletter, partly written AI. Download Pluggd.in, short news app busy professionals Newsletter Email address: Leave field youre human: Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories We Hiring Submit Your Product Free Book Summaries We Hiring nextbigwhat build. grow. repeat.
| 2,023 |
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https://nextbigwhat.com/ibm-to-incorporate-metas-llama-2-into-its-watsonx-ai-platform/
| 2023-08-10T00:00:00 |
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IBM to Incorporate Meta's Llama 2 into its WatsonX AI Platform
|
IBM to Incorporate Meta's Llama 2 into its WatsonX AI Platform
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IBM to Incorporate Meta’s Llama 2 into its WatsonX AI Platform
IBM to Incorporate Meta’s Llama 2 into its WatsonX AI Platform
Image Credit: IndianExpress
IBM announced it would host Meta’s AI language program on its WatsonX platform.
WatsonX help businesses integrate AI into their workflow, offering early access to Llama 2.
This comes as businesses increasingly seek AI solutions to improve efficiency and capabilities after OpenAI’s ChatGPT stimulated interest.
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IBM to Incorporate Meta's Llama 2 into its WatsonX AI Platform
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IBM orporate Metas Llama 2 WatsonX AI Platform Menu for: Switch skin Switch dark mode thats kinder eyes night time. Switch light mode thats kinder eyes day time. Menu Switch skin Switch dark mode thats kinder eyes night time. Switch light mode thats kinder eyes day time. You here: Home News IBM orporate Metas Llama 2 WatsonX AI Platform IBM orporate Metas Llama 2 WatsonX AI Platform Image Credit: IndianExpress IBM announced host Metas AI language program WatsonX platform. WatsonX help businesses integrate AI workflow, offering early access Llama 2. This comes businesses increasingly seek AI solutions improve efficiency capabilities OpenAIs ChatGPT stimulated interest. [Via] What think? 1 Vote Upvote Next post NewsletterGet trending stories straight inbox Email address: Leave field youre human: Its Free 2023 zakti Techmedia pvt limited Back Top Close [8AM] letter AI News Hiring Submit Your Product Upcoming Products Submit story press release Free Book Summaries Ashish Sinhas newsletter for: Log In With social network: LinkedIn Or username: Username Email Address Password Remember Me Forgot password? Forgot password? Enter account data send link reset password. Username Email Address Back Your password reset link appears invalid expired. Log To use social login agree storage handling data website. privacy_policy Accept Close Add Collection Add new search Public collection title Private collection title No Collections Here youll collections youve created before.
| 2,023 |
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https://nextbigwhat.com/phiture-introduces-ai-labs-and-chatgpt-aso-plugin/
| 2023-10-04T00:00:00 |
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Phiture introduces AI Labs and ChatGPT ASO Plugin
|
Phiture introduces AI Labs and ChatGPT ASO Plugin
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Home Phiture introduces AI Labs and ChatGPT ASO Plugin
Phiture introduces AI Labs and ChatGPT ASO Plugin
October 4, 2023
Phiture has launched AI Labs, a digital playground for designers, data leads, and marketing experts to develop AI-driven growth strategies and solutions.
The AI Labs initiative aims to integrate AI into existing services, automate repetitive tasks, and foster a culture of innovation and creativity.
Phiture has also released the ChatGPT ASO Plugin, a tool that emerged from an AI Labs Hackathon, providing essential ASO information and facilitating advanced explorations.
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Okta purchases password manager Uno to expedite Okta Personal tier launch
Okta integrates AI into its identity platform for enhanced security
Rabbit develops AI model to interact with software using natural language
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Phiture introduces AI Labs and ChatGPT ASO Plugin
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Phiture introduces AI Labs ChatGPT ASO Plugin Menu Startup Course [8AM] letter AI News Free Book Summaries Hiring Submit Your Product Upcoming Products Submit story press release Home Phiture introduces AI Labs ChatGPT ASO Plugin Phiture introduces AI Labs ChatGPT ASO Plugin October 4, 2023 Phiture launched AI Labs, digital playground designers, data leads, marketing experts develop AIdriven growth strategies solutions. The AI Labs initiative aims integrate AI existing services, automate repetitive tasks, foster culture innovation creativity. Phiture released ChatGPT ASO Plugin, tool emerged AI Labs Hackathon, providing essential ASO information facilitating advanced explorations. 0 0 Share 0 Tweet 0 Share 0 Total 0 Shares 55 Via Join 2 million subscribers The daily newsletter busy professionals Name Email HP subscribe nextbigwhat newsletter A curated newsletter summarizes important news intersection Global tech, India Tech AI.Delivered 8 AM. Daily. More news Okta purchases password manager Uno expedite Okta Personal tier launch Okta integrates AI identity platform enhanced security Rabbit develops AI model interact software natural language Total 0 Share 0 0 0 0 0 0
| 2,023 |
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https://nextbigwhat.com/wimbledon-2023-to-introduce-ai-commentary-in-partnership-with-ibm/
| 2023-07-06T00:00:00 |
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Wimbledon 2023 to Introduce AI Commentary in Partnership with IBM
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Wimbledon 2023 to Introduce AI Commentary in Partnership with IBM
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Home Wimbledon 2023 to Introduce AI Commentary in Partnership with IBM
Wimbledon 2023 to Introduce AI Commentary in Partnership with IBM
Wimbledon, in partnership with IBM, introduces AI commentary for online highlight reels, potentially extending to live matches in the future.
Alongside AI commentary, IBM also debuts AI Draw Analysis, providing data-informed predictions for player progress throughout the tournament.
While AI systems are maturing, experts note they might lack the emotional connection and the subtleties delivered by human commentators.
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Wimbledon 2023 to Introduce AI Commentary in Partnership with IBM
|
Wimbledon 2023 Introduce AI Commentary Partnership IBM nextbigwhat AI News Hiring Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories nextbigwhat heart startups AI News Hiring Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories for: Home Wimbledon 2023 Introduce AI Commentary Partnership IBM Wimbledon 2023 Introduce AI Commentary Partnership IBM Wimbledon, partnership IBM, introduces AI commentary online highlight reels, potentially extending live matches future. Alongside AI commentary, IBM debuts AI Draw Analysis, providing datainformed predictions player progress tournament. While AI systems maturing, experts note lack emotional connection subtleties delivered human commentators. 0 0 0 Share 0 Tweet 0 Share 0 Via Sign Up nextbigwhat newsletter Delivered everyday 8 AM. Most comprehensive coverage tech ecosystem. Download Pluggd.in, short news app busy professionals Newsletter Email address: Leave field youre human: AI News Hiring Submit Your Product Free Book Summaries Stories nextbigwhat build. grow. repeat.
| 2,023 |
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https://nextbigwhat.com/zomato-launches-zomato-ai-chatbot-for-gold-members/
| 2023-09-01T00:00:00 |
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Zomato launches Zomato AI chatbot for Gold members
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Zomato launches Zomato AI chatbot for Gold members
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Zomato launches Zomato AI chatbot for Gold members
Zomato AI aims to cater to users’ preferences and dietary needs, offering personalization and culinary recommendations. One of the key features of Zomato AI is its multiple-agent framework, which provides diverse prompts for various tasks.
The AI assists users in finding specific dishes from restaurants and suggests popular dishes or restaurants.
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Zomato launches Zomato AI chatbot for Gold members
RBI: 93% of ₹2,000 Banknotes Returned following Withdrawal Announcement
Khatabook Lays Off Employees in Multiple Departments Amid Cost-cutting Measures
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Zomato launches Zomato AI chatbot for Gold members
|
Zomato launches Zomato AI chatbot Gold members Menu Startup Course [8AM] letter AI News Free Book Summaries Hiring Submit Your Product Upcoming Products Submit story press release Zomato launches Zomato AI chatbot Gold members Zomato AI aims cater users preferences dietary needs, offering personalization culinary recommendations. One key features Zomato AI multipleagent framework, provides diverse prompts tasks. The AI assists users finding specific dishes restaurants suggests popular dishes restaurants. 0 0 0 Share 0 Tweet 0 Share 0 Via September 1, 2023 Join 2 million subscribers subscribe nextbigwhat newsletter A curated newsletter summarizes important news intersection Global tech, India Tech AI.Delivered 8 AM. Daily. The daily newsletter busy professionals Name Email HP More news Zomato launches Zomato AI chatbot Gold members RBI: 93 2,000 Banknotes Returned following Withdrawal Announcement Khatabook Lays Off Employees Multiple Departments Amid Costcutting Measures
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https://nypost.com/2023/02/06/us-firms-pumping-billions-into-chinas-ai-sector/
| 2023-02-06T00:00:00 |
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US firms pumping billions into China's AI sector
|
US firms pumping billions into China's AI sector
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February 6, 2023
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US firms pumping billions into China’s AI sector
By
Aaron Kliegman, Fox News
Thanks for contacting us. We've received your submission.
Back to Reading
February 6, 2023
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Investors in the United States were involved in a large majority investment transactions in China's artificial intelligence sector.
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Originally Published by:
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US investors were involved in at least 37% of all investment transactions in China’s artificial intelligence, or AI, sector between 2015 and 2021, according to a new report.
Georgetown University’s Center for Security and Emerging Technology found that $40.2 billion of the total money raised by all Chinese AI companies over this time period had US backing. However, the center couldn’t determine what percentage of that amount came from US investors or investors abroad.
The money went to 251 Chinese AI companies, and 91% of the US investment came as venture capital to earlier-stage businesses.
“Some of the largest investments include Goldman Sachs’ solo investment in 1KMXC, an AI-enabled robotics company, as well as an investment by three US-based [venture capital] firms in Geek+, an autonomous mobile robot company,” the report stated.
US investments in Chinese AI companies have undergone scrutiny in recent years as China seeks to use AI for not only civilian but also military applications. Analysts believe AI will play a central, “game-changing” role in China’s military innovation and future warfare strategy.
U.S. officials have also said Chinese espionage costs the U.S. upwards of $600 billion a year in stolen intellectual property.Getty Images
US investments into China’s AI sector were especially valuable. While US investors participated in only 17% of all global transactions made, those transactions accounted for 37% of the total funding, the report found.
And even though US investments in China’s AI sector are small compared to those of Chinese investors, their benefits can have profound implications.
“While Crunchbase data suggests that US outbound investment into Chinese AI companies is limited, such financial activity, commercial linkages, and the tacit expertise that transfers from US-based funders to target companies in China’s booming AI ecosystem carry implications that extend beyond the business sector,” the report says. “Earlier stage [venture capital] investments in particular can provide intangible benefits beyond capital, including mentorship and coaching, name recognition, and networking opportunities. As such, US outbound investment in Chinese technology, and particularly AI, merits additional attention and tracking.”
The booth of Sensetime is pictured at the world Artificial Intelligence Conference in Shanghai, China, July 7, 2021.Future Publishing via Getty Imag
Beyond potentially benefiting the military, another point of concern with US investments in the Chinese AI sector is the influence exerted on China-based companies by the ruling Communist Party.
Chinese companies “are required to establish CCP [Chinese Communist Party] cells in their operations and support CCP security agencies,” according to the China Task Force report, a major project conducted by members of Congress in 2020. “The CCP embeds its members in every company and organization.”
US officials have also said Chinese espionage costs the US upwards of $600 billion a year in stolen intellectual property.
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US firms pumping billions into China's AI sector
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US firms pumping billions Chinas AI sector Primary Menu Sections Skip search results News Metro Page Six Sports NFL MLB NBA NHL College Football College Basketball Post Sports Sports Betting Business Opinion Entertainment Fashion Beauty Shopping Lifestyle Weird But True Health Sex Relationships Viral Trends Human Interest Parenting Fashion Beauty Food Drink Real Estate Media Tech Travel Astrology Video Photos Visual Stories Sub Menu 1 Covers Columnists Horoscopes Sports Odds Podcasts Careers Sub menu 2 Email Newsletters Official Store Home Delivery Tips Email New York Post February 6, 2023 Recommended Skip main content News FacebookTwitter Flipboard WhatsAppEmailCopy US firms pumping billions Chinas AI sector By Aaron Kliegman, Fox News Thanks contacting us. Weve received submission. Back Reading February 6, 2023 6:14am Updated February 6, 2023 6:14am Investors United States involved large majority investment transactions Chinas artificial intelligence sector. Getty Images Originally Published by: Push 4day work week picks steam critics Virginia Dems killed measures aimed combatting antisemitism Holocaust Remembrance Day Trilliondollar coin, 14th Amendment: Dems, academics float radical options Biden debt ceiling standoff US investors involved 37 investment transactions Chinas artificial intelligence, AI, sector 2015 2021, according new report. Georgetown Universitys Center Security Emerging Technologyfound 40.2 billionof total money raised Chinese AI companies time period US backing. However, center determine percentage came US investors investors abroad. The money went 251 Chinese AI companies, 91 US investment came venture capital earlierstage businesses. Some largest investments include Goldman Sachs solo investment 1KMXC, AIenabled robotics company, investment USbased [venture capital] firms Geek, autonomous mobile robot company, report stated. US investments Chinese AI companies undergone scrutiny recent years China seeks use AI civilian military applications. Analystsbelieve AI play central, gamechanging role Chinas military innovation future warfare strategy. U.S. officials said Chinese espionage costs U.S. upwards 600 billiona year stolen intellectual property.Getty Images US investments Chinas AI sector especially valuable. While US investors participated 17 global transactions made, transactions accounted 37 total funding, report found. And US investments Chinas AI sector small compared Chinese investors, benefits profound implications. While Crunchbase data suggests US outbound investment Chinese AI companies limited, financial activity, commercial linkages, tacit expertise transfers USbased funders target companies Chinas booming AI ecosystem carry implications extend business sector, report says. Earlier stage [venture capital] investments particular provide intangible benefits capital, including mentorship coaching, recognition, networking opportunities. As such, US outbound investment Chinese technology, particularly AI, merits additional attention tracking. The booth Sensetime pictured world Artificial Intelligence Conference Shanghai, China, July 7, 2021.Future Publishing Getty Imag Beyond potentially benefiting military, point concern US investments Chinese AI sector influence exerted Chinabased companies ruling Communist Party. Chinese companies required establish CCP [Chinese Communist Party] cells operations support CCP security agencies, according theChina Task Force report, major project conducted members Congress 2020. The CCP embeds members company organization. US officials said Chinese espionage costs US upwards 600 billiona year stolen intellectual property. Share article: FacebookTwitter Flipboard WhatsAppEmailCopy Filed artificial intelligence china investors 2623 Read Next Israeli troops kill 5 Palestinian gunmen raid: Official... Trending Now This story shared 69,145 times. 69,145 Madonna unrecognizable Grammys: That her? Can it? This story shared 52,514 times. 52,514 Dr. Phil tried revamp final months sponsors fled This story shared 20,503 times. 20,503 Samantha Markle: Harry testify defamation suit Meghan shop The New York Post Winter Shopping Event here: Exclusive offers, This bestselling CeraVe Eye Repair Cream 35 Amazon right The 9 best allpurpose cleaners 2023, according expert Youll fare ok: enjoy 50 sitewide Wayfairs Big Furniture Sale, week 16 popular books Black History, according Goodreads Now Page Six Grammys 2023: Heres didnt TV Harry Styles shock Grammy win: Beyonc fans demand recount Fans confused Madonnas new face Grammys 2023 See All Video NY Post Nets Beat Reporter Brian Lewis discusses Kyrie Irving Dallas Mavericks Now Decider Sam Smith, Kim Petras Unholy Grammy Performance Expected To Spark Outrage: I Guarantee There Will Be Calls CBS From Outraged Christians See All More Stories Page Six Fans confused Madonnas new face Grammys 2023 NYPost Madonna unrecognizable Grammys: That her? Can it? 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| 2,023 |
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https://nypost.com/2023/06/07/openais-sam-altman-complained-chip-shortage-is-delaying-chatgpt-plans/
| 2023-06-07T00:00:00 |
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OpenAI's Sam Altman complained chip shortage is 'delaying' ChatGPT plans
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OpenAI's Sam Altman complained chip shortage is 'delaying' ChatGPT plans
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OpenAI’s Sam Altman complained chip shortage ‘delaying’ ChatGPT plans: deleted post
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Back to Reading
June 7, 2023
2:00pm
Updated
June 7, 2023
2:00pm
More On:
chatgpt
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Student’s alleged attempt to cheat with AI hilariously fails
OpenAI boss Sam Altman admitted a computer chip shortage is hindering ChatGPT’s progress during an off-the-record meeting in London last month – the details of which surfaced after one attendee mistakenly published a blog post about the event.
Altman’s candid remarks to a roomful of app developers and startup founders were detailed in a post late last month by Raza Habib, the CEO of London-based AI firm Humanloop.
During the discussion, Altman purportedly said OpenAI lacked enough graphic processing units, or GPUs – the ultra-powerful chips required to train and run AI software — to make fast improvements to ChatGPT.
“A common theme that came up throughout the discussion was that currently OpenAI is extremely GPU-limited and this is delaying a lot of their short-term plans,” Habib wrote in the blog post.
“The biggest customer complaint was about the reliability and speed of the API. Sam acknowledged their concern and explained that most of the issue was a result of GPU shortages,” Habib added.
OpenAI is just one of many firms impacted by the industrywide chip shortage. In April, The Information reported that AI startups were experiencing major difficulties due to server shortages at key cloud providers such as Amazon, Microsoft, and Google.
Sam Altman reportedly told a group of developers that OpenAI faced a computing crunch.AFP via Getty Images
Demand for the chips is so strong that Nvidia, the leading US manufacturer, recently attained a $1 trillion market cap for the first time. The company’s shares are up by a whopping 171% since the start of the year.
Habib quickly took down the blog post, but archived versions spread quickly on social media and other platforms. The blog post sparked a pair of lengthy threads on the forum Hacker News, where users dissected Altman’s purported roadmap for OpenAI.
The original post now displays a message that reads, “This content has been removed at the request of OpenAI.”
Raza Habib posted, and later deleted, a blog about his meeting with OpenAI’s Altman.RazRazcle/Twitter
When reached for comment, Habib confirmed that he had taken down the blog post after someone at OpenAI told him the event was meant to be “off the record.”
“We posted our notes from the developer session, they messaged me to say they had intended it to be off the record and apologized that they weren’t clear,” Habib said. “I took it down because we’re close partners and we want to support them as they support us.”
Habib did not respond to a request for further comment. The Post has reached out to OpenAI for comment.
According to the blog post, Altman reportedly complained that a lack of computing power has blocked OpenAI from implementing larger “context windows” for ChatGPT. Simply defined, context windows are the amount of information the chatbot can process when responding to a specific user prompt.
Sam Altman is CEO of ChatGPT maker OpenAI.AFP via Getty Images
Without an improved context window, ChatGPT and other chatbots are limited in how much information they can “remember,” including past user prompts, and lack the capacity for more complex assignments such as complex coding.
“The main takeaway is indeed the GPU bottleneck, which is caused by a huge gap between demand and supply, that must be solved as soon as possible,” Omri Geller, the CEO, and co-founder of Israel-based Run:ai, told The Post. “This goes for OpenAI, but it’s true for the whole ecosystem.”
Altman also reportedly laid out his immediate plans for OpenAI and how to improve the ChatGPT experience for professional customers.
GPUs manufactured by Nvidia and other firms are needed to power AI systems.via REUTERS
This year, Altman reportedly said that OpenAI would focus on creating a “cheaper and faster GPT-4” and “longer context windows” for the chatbot, as well as improvements to the API meant to streamline the experience for developers.
Altman also purportedly reassured worried developers that OpenAI had no plans to “release more products beyond ChatGPT.”
“Quite a few developers said they were nervous about building with the OpenAI APIs when OpenAI might end up releasing products that are competitive to them,” Habib wrote.
Fortune was the first to report on the deleted blog post.
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6/7/23
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OpenAI's Sam Altman complained chip shortage is 'delaying' ChatGPT plans
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OpenAIs Sam Altman complained chip shortage delaying ChatGPT plans Primary Menu Sections Skip search results News Metro Page Six Sports NFL MLB NBA NHL College Football College Basketball Post Sports Sports Betting Business Personal Finance Opinion Entertainment Oscars 2023 TV Movies Music Celebrities Awards Theater Shopping Lifestyle Weird But True Health Sex Relationships Viral Trends Human Interest Parenting Fashion Beauty Food Drink Travel Real Estate Media Tech Astrology Video Photos Visual Stories Sub Menu 1 Todays Paper Covers Columnists Horoscopes Sports Odds Podcasts Careers Sub menu 2 Email Newsletters Official Store Home Delivery Tips Email New York Post June 7, 2023 Recommended Skip main content Tech FacebookTwitter Flipboard WhatsAppEmailCopy OpenAIs Sam Altman complained chip shortage delaying ChatGPT plans: deleted post By Thomas Barrabi Social Links Thomas Barrabi View Author Archive email author follow twitter Get author RSS feed The Author Namerequired Emailrequired Commentrequired Submit Thanks contacting us. Weve received submission. Back Reading June 7, 2023 2:00pm Updated June 7, 2023 2:00pm More On: chatgpt Black Mirror creator ChatGPT write episode: It st OpenAI boss warned AI poses risk extinction humanity doomsday prepper Mark Cuban says Musk, Altman right warn potential AI doomsday: Its overreach Students alleged attempt cheat AI hilariously fails OpenAI boss Sam Altman admitted chip shortage hindering ChatGPTs progress offtherecord meeting London month details surfaced attendee mistakenly published blog post event. Altmans candid remarks roomful app developers startup founders detailed post late month Raza Habib, CEO Londonbased AI firm Humanloop. During discussion, Altman purportedly said OpenAI lacked graphic processing units, GPUs ultrapowerful chips required train run AI software fast improvements ChatGPT. A common theme came discussion currently OpenAI extremely GPUlimited delaying lot shortterm plans, Habib wrote blog post. The biggest customer complaint reliability speed API. Sam acknowledged concern explained issue result GPU shortages, Habib added. OpenAI firms impacted industrywide chip shortage. In April, The Information reported AI startups experiencing major difficulties server shortages key cloud providers Amazon, Microsoft, Google. Sam Altman reportedly told group developers OpenAI faced computing crunch.AFP Getty Images Demand chips strong Nvidia, leading US manufacturer, recently attained 1 trillion market cap time. The companys shares whopping 171 start year. Habib quickly took blog post, archived versions spread quickly social media platforms. The blog post sparked pair lengthy threads forum Hacker News, users dissected Altmans purported roadmap OpenAI. The original post displays message reads, This content removed request OpenAI. Raza Habib posted, later deleted, blog meeting OpenAIs Altman.RazRazcleTwitter When reached comment, Habib confirmed taken blog post OpenAI told event meant record. We posted notes developer session, messaged intended record apologized werent clear, Habib said. I took close partners want support support us. Habib respond request comment. The Post reached OpenAI comment. According blog post, Altman reportedly complained lack computing power blocked OpenAI implementing larger context windows ChatGPT. Simply defined, context windows information chatbot process responding specific user prompt. Sam Altman CEO ChatGPT maker OpenAI.AFP Getty Images Without improved context window, ChatGPT chatbots limited information remember, including past user prompts, lack capacity complex assignments complex coding. The main takeaway GPU bottleneck, caused huge gap demand supply, solved soon possible, Omri Geller, CEO, cofounder Israelbased Run:ai, told The Post. This goes OpenAI, true ecosystem. Altman reportedly laid immediate plans OpenAI improve ChatGPT experience professional customers. GPUs manufactured Nvidia firms needed power AI systems.via REUTERS This year, Altman reportedly said OpenAI focus creating cheaper faster GPT4 longer context windows chatbot, improvements API meant streamline experience developers. Altman purportedly reassured worried developers OpenAI plans release products ChatGPT. Quite developers said nervous building OpenAI APIs OpenAI end releasing products competitive them, Habib wrote. Fortune report deleted blog post. Share article: FacebookTwitter Flipboard WhatsAppEmailCopy Filed artificial intelligence chatgpt computers gadgets 6723 Read Next Instagram algorithm boosted vast pedophile network, alar... Top Concerts Vividseats: Official Ticketing Partner New York Post Get seats. Earn rewards. Experience live. Morgan Wallen 47Shows Get Tickets Taylor Swift 21Shows Get Tickets Drake 57Shows Get Tickets Beyonce 36Shows Get Tickets Pink 47Shows Get Tickets See More Shows Trending Now This story shared 72,305 times. 72,305 Unprecedented wildfire smoke chokes NYC air pollution ranks worlds worst This story shared 66,796 times. 66,796 CDC warns deadly bacteria 50 fatality rate declared endemic US Gulf Coast This story shared 61,378 times. 61,378 Disgraced news anchor arrested twice night California This story shared 38,914 times. 38,914 Embattled CNN boss steps network scathing mag profile This story shared 35,698 times. 35,698 Legendary blind mystic makes terrifying nuclear disaster prediction 2023 What shop Work smarter, harder, wearable smartwatch Best Buy track health, sleep These 18 air purifiers saying goodbye seasonal allergies improve air quality Feel good best walking shoes men, according podiatrist Best Fathers Day gifts 2023: 62 ideas kind dad Dont drop ball dad Shop lastminute Fathers Day gifts ahead 2023 holiday Listen Now Page Six Leonardo DiCaprio, Gigi Hadid dine luxe London restaurant Natalie Portman flashes wedding ring French Open amid Benjamin Millepied cheating rumors Britney Spears declares quit business voice 13 years See All Now Decider Joy Behar Tells The View That The New Apple Vision Pro VR Headsets Are Only Good Porn: I Could Be Bed With George Clooney See All Video Mark Cannizzaro discusses merger LIV Golf PGA Tour More Stories Page Six Shannen Doherty shares heartbreaking cancer update: My fear obvious NYPost Unprecedented wildfire smoke chokes NYC air pollution ranks worlds worst Facebook Twitter Instagram LinkedIn Email YouTube Sections Features News Metro Sports Sports Betting Business Opinion Entertainment Fashion Beauty Shopping Lifestyle Real Estate Media Tech Health Travel Astrology Video Photos Visual Stories Alexa Covers Horoscopes Sports Odds Podcasts Columnists Classifieds Post Sports Articles Manage Newsletters Feeds Email Newsletters RSS Feeds NY Post Official Store Home Delivery Manage Subscription Delivery Help HelpSupport About New York Post Customer Service Apps Help Community Guidelines Us Tips Newsroom Letters Editor Reprints Careers Vulnerability Disclosure Program Apps iPhone App iPad App Android Phone Android Tablet Advertise Self Service Media Kit 2023 NYP Holdings, . 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https://nypost.com/2023/07/02/arnold-schwarzenegger-claims-ai-from-terminator-has-become-a-reality/
| 2023-07-02T00:00:00 |
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Arnold Schwarzenegger claims AI future from 'Terminator' has 'become a reality
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Arnold Schwarzenegger claims AI future from 'Terminator' has 'become a reality
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Arnold Schwarzenegger claims AI future from ‘Terminator’ has ‘become a reality
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Jane Herz
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July 2, 2023
10:47am
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July 2, 2023
10:48am
Arnold Schwarzenegger drew some similarities between the current state of AI and the hit 1984 film, "Terminator."
Getty Images for Academy Museum of Motion Pictures
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The famous “Terminator” line, “I’ll be back,” may have an entirely different meaning now.
While speaking at an event titled “An Evening With Arnold Schwarzenegger” this week in Los Angeles, the star, 75, claimed that the artificial intelligence world that was predicted in the “Terminator” movies has “become a reality.”
“Today, everyone is frightened of it, of where this is gonna go,” Schwarzenegger said about the state of AI in 2023, per People. “And in this movie, in ‘Terminator,’ we talk about the machines becoming self-aware and they take over.”
The actor also praised the film series’ director, James Cameron, for his “extraordinary” writing, noting that when the movie debuted in 1984 they had “just scratched the surface” of AI.
“Now over the course of decades, it has become a reality,” the actor continued. “So it’s not any more fantasy or kind of futuristic. It is here today. And so this is the extraordinary writing of Jim Cameron.”
The hit sci-fi flick “Terminator” chronicled Schwarzenegger as he played the role of a cyborg sent from the future, sent on a mission to kill Sarah Connor, who was played by actress Linda Hamilton, 66.
He made the comments during an event in Los Angeles this week. Getty Images for Academy Museum of Motion Pictures
The classic film has since been continued into many different sequels, with the most recent one, “Terminator: Dark Fate,” having premiered in 2019.
During the event, Schwarzenegger also joked that he “wished” he could “take credit” for the movie.
“He’s just such an extraordinary writer and he’s such an unbelievable director, this is again, one of those things that I wish I could take credit for this movie,” he said.
“Today, everyone is frightened of it, of where this is gonna go,” he said about AI. ©Paramount/Courtesy Everett Collection
He also praised the film’s director, James Cameron, during the event. Getty Images
“Terminator” was a film about humans versus machines. Getty Images
“I can only take credit of the character that I played and the way I played it. But I mean, he has created this character. He has written it so well, he’s written the movie so well, and that’s why he is, you know, the number one director in the world.”
Schwarzenegger is not the only person who has raised alarms about the future of artificial intelligence recently.
In the past few months, others have also spoken out about the potential dangers of artificial intelligence, including Twitter owner Elon Musk, OpenAI CEO Sam Altman and “Shark Tank” host Mark Cuban.
In May, Musk even made a reference to the “Terminator” while speaking about the new technology at the Wall Street Journal’s CEO Council Summit.
However, the former California governor is not the only one who has raised alarms about AI in recent months. ZUMAPRESS.com
Twitter owner Elon Musk spoke about its dangers during an event in May. Getty Images/iStockphoto
“There’s a non-zero chance of it going Terminator,” the SpaceX founder said. “It’s a small likelihood of annihilating humanity, but it’s not zero. We want that probability to be as close to zero as possible.”
Whoopi Goldberg also expressed her hesitancy about AI during a May 31 episode of “The View,” while speaking about her distrust of Amazon’s “personal assistant” computer technology, Alexa.
“You know she is listening, I don’t want her in the house,” Goldberg claimed as her cohost, Alyssa Farah Griffin, showed agreement. “I don’t want anything that is smart enough to lock me out of my house. I don’t want anything that won’t let me drive my car. When you watch science fiction, it’s right there. They tell you.”
However, there have been reports of AI making strides in the medical field, with doctors and scientists in the United Kingdom reaching a big development in fast-tracking cancer detection in May.
Other researchers have also made breakthroughs in being able to detect pancreatic cancer in advance.
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Arnold Schwarzenegger claims AI future from 'Terminator' has 'become a reality
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Arnold Schwarzenegger claims AI future Terminator reality Primary Menu Sections Skip search results News Metro Page Six Sports NFL MLB NBA NHL College Football College Basketball Post Sports Sports Betting Business Personal Finance Opinion Entertainment Oscars 2023 TV Movies Music Celebrities Awards Theater Shopping Lifestyle Weird But True Health Sex Relationships Viral Trends Human Interest Parenting Fashion Beauty Food Drink Travel Real Estate Media Tech Astrology Video Photos Visual Stories Sub Menu 1 Todays Paper Covers Columnists Horoscopes Sports Odds Podcasts Careers Sub menu 2 Email Newsletters Official Store Home Delivery Tips Email New York Post July 2, 2023 Open main entertainment navigation Entertainment Entertainment TV Movies Music Celebrities Awards Theater Entertainment TV Movies Music Celebrities Awards Theater trending Skip main content Big dill: Pickle company accuses rival stealing 100yearold... Former high school original features lists 60K Bodybuilder known online Joesthetics kindest soul... Madonna burnt trying compete younger stars... Apple permanently delete photos July keep... 2 killed, 2 dozen injured Baltimore mass shooting cops... Worlds fully electric flying car approved FAA and... Amusement park shuts rollercoaster social media user... Entertainment FacebookTwitter Flipboard WhatsAppEmailCopy Arnold Schwarzenegger claims AI future Terminator reality By Jane Herz Social Links Jane Herz View Author Archive Get author RSS feed Thanks contacting us. Weve received submission. Back Reading July 2, 2023 10:47am Updated July 2, 2023 10:48am Arnold Schwarzenegger drew similarities current state AI hit 1984 film, Terminator. Getty Images Academy Museum Motion Pictures More On: arnold schwarzenegger Sylvester Stallone says exrival Arnold Schwarzenegger superior star Arnold Schwarzenegger poser Terminator: Linda Hamilton Arnold Schwarzenegger reveals Nazi fathers strange violence Arnie tells Danny Devito heaven fantasy tells fking liar The famous Terminator line, Ill back, entirely different meaning now. While speaking event titled An Evening With Arnold Schwarzenegger week Los Angeles, star, 75, claimed artificial intelligence world predicted Terminator movies reality. Today, frightened it, gonna go, Schwarzenegger said state AI 2023, People. And movie, inTerminator,we talk machines selfaware over. The actor praised film series director, James Cameron, extraordinary writing, noting movie debuted 1984 scratched surface AI. Now course decades, reality, actor continued. So fantasy kind futuristic. It today. And extraordinary writing Jim Cameron. The hit scifi flick Terminator chronicled Schwarzenegger played role cyborg sent future, sent mission kill Sarah Connor, played actress Linda Hamilton, 66. He comments event Los Angeles week. Getty Images Academy Museum Motion Pictures The classic film continued different sequels, recent one, Terminator: Dark Fate, premiered 2019. During event, Schwarzenegger joked wished credit movie. Hes extraordinary writer hes unbelievable director, again, things I wish I credit movie, said. Today, frightened it, gonna go, said AI. ParamountCourtesy Everett Collection He praised films director, James Cameron, event. Getty Images Terminator film humans versus machines. Getty Images I credit character I played way I played it. But I mean, created character. He written well, hes written movie well, thats is, know, number director world. Schwarzenegger person raised alarms future artificial intelligence recently. In past months, spoken potential dangers artificial intelligence, including Twitter owner Elon Musk, OpenAI CEO Sam Altman Shark Tank host Mark Cuban. In May, Musk reference Terminator speaking new technology Wall Street Journals CEO Council Summit. However, California governor raised alarms AI recent months. Twitter owner Elon Musk spoke dangers event May. Getty ImagesiStockphoto Theres nonzero chance going Terminator, SpaceX founder said. Its small likelihood annihilating humanity, zero. We want probability close zero possible. Whoopi Goldberg expressed hesitancy AI May 31 episode The View, speaking distrust Amazons personal assistant technology, Alexa. You know listening, I dont want house, Goldberg claimed cohost, Alyssa Farah Griffin, showed agreement. I dont want smart lock house. I dont want wont let drive car. When watch science fiction, right there. They tell you. However, reports AI making strides medical field, doctors scientists United Kingdom reaching big development fasttracking cancer detection May. Other researchers breakthroughs able detect pancreatic cancer advance. Share article: FacebookTwitter Flipboard WhatsAppEmailCopy Filed Action Movies actors arnold schwarzenegger artificial intelligence classic movies terminator terminator 7223 Read Next Boy, 17, struck Bronx shootout Top Concerts Vividseats: Official Ticketing Partner New York Post Get seats. Earn rewards. Experience live. 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] | 1 | 196,997 |
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Artificial Intelligence in Automotive Market Worth Usd 125 Million By 2025 – Market Reports
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Artificial Intelligence in Automotive Market Worth Usd 125 Million By 2025 – Market Reports
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Artificial Intelligence in Automotive Market Worth Usd 125 Million By 2025
Mohit June 23, 2021
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Artificial Intelligence in Automotive growthArtificial Intelligence in Automotive sizeArtificial Intelligence in Automotive trend
NEWS RELEASE
Coherent Market Insights broadcasted a new title “Artificial Intelligence in Automotive Market” in-depth assessment including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players such as Qualcomm Inc. (U.S.), Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG (Germany), General Motors Company (U.S.), Ford Motor Company (U.S.), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (U.S.), and Apple Inc.. The research study provides forecasts for Artificial Intelligence in Automotive Market investments till 2026.
Application Analysis: This report provides an advance approach to the market growth with a detailed analysis of the overall competitive scenario of the Artificial Intelligence in Automotive Market is segmented by Application such as Commercial Use & Industrial Use with historical and projected market share and compounded annual growth rate.
Industry Growth: An in-depth study about key trends and emerging drivers with market characteristics, size and growth, segmentation, regional breakdowns, competitive landscape, shares, trend and strategies for Artificial Intelligence in Automotive Market.
Competitive Analysis:The report aims to provide an overview of Artificial Intelligence in Automotive Market with detailed market segmentation. Also, it analyzes the current Artificial Intelligence in Automotive Market scenario and forecasts the market till 2026. The report covers market dynamics effecting the market during the forecast period. The report also provide PEST along with the SWOT analysis for all company profiled in the Artificial Intelligence in Automotive Market report.
Get FREE HOLISTIC Request Sample Copy: https://www.coherentmarketinsights.com/insight/request-sample/1347
Artificial Intelligence in Automotive Market Taxonomy
On basis of offering, the artificial intelligence in automotive market is segmented into
Hardware
Software
On basis of technology, the artificial intelligence in automotive market is segmented into
Deep learning
Machine learning
Infotainment Systems
IOT (Internet Of Things)
Cognitive Capabilities
On basis of application, the artificial intelligence in automotive market is segmented into
Semi-autonomous applications
Fully-autonomous applications
*Customized Section/Chapter wise Reports or Regional or Country wise Chapters are also available.
There are several chapters to show the global Artificial Intelligence in Automotive market, some of them as follow
Chapter 1, Definition, specifications and classification of Artificial Intelligence in Automotive, applications of Artificial Intelligence in Automotive, market segment by region;
Chapter 2, Structure of production costs, raw materials and suppliers, Production process, Structure of the industrial chain;
Chapter 3, Technical data and analysis of the production facilities of Artificial Intelligence in Automotive, capacity and date of commercial production, distribution of production facilities, research and development status and technological source, analysis of raw material sources;
Chapter 4, General market analysis, Capacity analysis (business segment), Sales analysis (business segment), Sales price analysis (business segment);
Get FREE PDF Brochure of This Business Report: https://www.coherentmarketinsights.com/insight/request-pdf/1347
Chapter 5 and 6, Analysis of the regional market including the United States, China, Europe, Japan, Korea and Taiwan, Market analysis of the Artificial Intelligence in Automotive segment (by type);
Chapter 7 and 8, Market analysis of the Artificial Intelligence in Automotive segment (by application) Analysis of the main manufacturers of Artificial Intelligence in Automotive;
Chapter 9, Analysis of market trends, Regional market trends, Market trends by product type Natural preservative, Chemical preservative, Market trend by application;
Chapter 10, Analysis of the type of regional marketing, Analysis of the type of international trade, Analysis of the supply chain;
Chapter 11, The Consumers Analysis of Global Artificial Intelligence in Automotive;
Chapter 12, Results and conclusions of the research Artificial Intelligence in Automotive, Appendix, methodology and data source;
Chapter 13, 14 and 15, Artificial Intelligence in Automotive sales channel, distributors, merchants, retailers, research results and conclusions, appendix and data source.
On Special Request we do offer a dedicated and focus report on regional or by country level scope.
(use FIRSTTIMECMI code in Precise Requirement to request FLAT 1000 USD OFF on current Price):https://www.coherentmarketinsights.com/insight/request-discount/1347
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
About Coherent Market Insights:
Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity.
Contact Us:
Name: Mr. Raj Shah Phone: US +12067016702 / UK +4402081334027 Email: [email protected] Visit Our Blogs: https://blog.coherentmarketinsights.com
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Artificial Intelligence in Automotive Market Worth Usd 125 Million By 2025
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Artificial Intelligence Automotive Market Worth Usd 125 Million By 2025 Market Reports Skip content Wednesday, June 23, 2021 Home Our Journalist Disclaimer Us home Market Reports Market News Research Market Reports Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Technology Artificial Intelligence Automotive Market Worth Usd 125 Million By 2025 Mohit June 23, 2021 No Comments Artificial Intelligence Automotive growthArtificial Intelligence Automotive sizeArtificial Intelligence Automotive trend NEWS RELEASE Coherent Market Insights broadcasted new title Artificial Intelligence AutomotiveMarket indepth assessment including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, key company profiles strategies players Qualcomm . U.S., Tesla ., Volvo Car Corporation, BMW AG, Audi AG Germany, General Motors Company U.S., Ford Motor Company U.S., Toyota Motor Corporation Japan, Hyundai Motor Corporation South Korea, Uber Technologies . U.S., Apple .. The research study provides forecasts Artificial Intelligence AutomotiveMarket investments till 2026. Application Analysis: This report provides advance approach market growth detailed analysis overall competitive scenario Artificial Intelligence Automotive Market segmented Application Commercial Use Industrial Use historical projected market share compounded annual growth rate. Industry Growth: An indepth study key trends emerging drivers market characteristics, size growth, segmentation, regional breakdowns, competitive landscape, shares, trend strategies Artificial Intelligence Automotive Market. Competitive Analysis:The report aims provide overview Artificial Intelligence AutomotiveMarket detailed market segmentation. Also, analyzes current Artificial Intelligence Automotive Market scenario forecasts market till 2026. The report covers market dynamics effecting market forecast period. The report provide PEST SWOT analysis company profiled Artificial Intelligence AutomotiveMarket report. Get FREE HOLISTIC Request Sample Copy: Artificial Intelligence Automotive Market Taxonomy On basis offering, artificial intelligence automotive market segmented Hardware Software On basis technology, artificial intelligence automotive market segmented Deep learning Machine learning Infotainment Systems IOT Internet Of Things Cognitive Capabilities On basis application, artificial intelligence automotive market segmented Semiautonomous applications Fullyautonomous applications Customized SectionChapter wise Reports Regional Country wise Chapters available. There chapters global Artificial Intelligence Automotive market, follow Chapter 1,Definition, specifications classification Artificial Intelligence Automotive, applications Artificial Intelligence Automotive, market segment region; Chapter 2,Structure production costs, raw materials suppliers, Production process, Structure industrial chain; Chapter 3,Technical data analysis production facilities Artificial Intelligence Automotive, capacity date commercial production, distribution production facilities, research development status technological source, analysis raw material sources; Chapter 4,General market analysis, Capacity analysis business segment, Sales analysis business segment, Sales price analysis business segment; Get FREE PDF Brochure This Business Report: Chapter 5 6,Analysis regional market including United States, China, Europe, Japan, Korea Taiwan, Market analysis Artificial Intelligence Automotive segment type; Chapter 7 8,Market analysis Artificial Intelligence Automotive segment application Analysis main manufacturers Artificial Intelligence Automotive; Chapter 9,Analysis market trends, Regional market trends, Market trends product type Natural preservative, Chemical preservative, Market trend application; Chapter 10,Analysis type regional marketing, Analysis type international trade, Analysis supply chain; Chapter 11,The Consumers Analysis Global Artificial Intelligence Automotive; Chapter 12,Results conclusions research Artificial Intelligence Automotive, Appendix, methodology data source; Chapter 13, 14 15,Artificial Intelligence Automotive sales channel, distributors, merchants, retailers, research results conclusions, appendix data source. On Special Request offer dedicated focus report regional country level scope. useFIRSTTIMECMIcode Precise Requirement requestFLAT 1000 USD OFFon current Price: Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. About Coherent Market Insights: Coherent Market Insights prominent market research consulting firm offering actionready syndicated research reports, custom market analysis, consulting services, competitive analysis recommendations related emerging market trends, technologies, potential absolute dollar opportunity. Us: Name: Mr. Raj Shah Phone: US 12067016702 UK 4402081334027 Email: [emailprotected] Visit Our Blogs: Leave Reply Cancel reply Your email address published. 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Artificial Intelligence in Supply Chain Market Analysis, Size, Share, Growth, Trends and Forecast to 2025 – Nyse News Times
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Artificial Intelligence in Supply Chain Market Analysis, Size, Share, Growth, Trends and Forecast to 2025 – Nyse News Times
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Artificial Intelligence in Supply Chain Market Analysis, Size, Share, Growth, Trends and Forecast to 2025
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Global Artificial Intelligence in Supply Chain Market was valued at USD 767.8 Million in the year 2018. Global Artificial Intelligence in Supply Chain Market is further estimated to grow at a CAGR of 45.6% from 2018 to 2025 to reach USD 10,111 Million. Growth in this Market is mainly driven by factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and satisfaction. The major restraint for the Market is the limited number of the artificial intelligence technology experts.
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The size of the AI in supply chain Market has been arrived at based on segments such as offerings, technology, application, end-user Market, and region. The artificial intelligence in supply chain Market, by offering, is segmented into software, services, and hardware. Software segment is growing at a healthy rate. The adoption of AI is increasing rapidly for various applications. Continuous developments have been witnessed in AI and related software development kits. Also, AI software is capable of behaving intelligently. Creating intelligent software involves simulating a number of capabilities, which include reasoning, learning, problem-solving, perception, and knowledge representation.
Depending on the technology, artificial intelligence in supply chain can be segmented into machine learning (ML), natural language processing (NLP), and context-aware computing, and computer vision. The Market for computer vision is expected to grow at a higher rate. The growing adoption of computer vision for autonomous or semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the artificial intelligence in supply chain Market.
Research Methodology of Research:
Moreover, the Market has been segmented, on the basis of end-user Market, into automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, food & beverages, and others. Among all end-user industries, the Market for consumer-packaged goods is expected to grow at the highest CAGR during the forecast period. The adoption of AI in consumer goods is increasing as it has ability to collect data, interact with customers, capture images, and more many of these changes are creating a permanent impact on customers’ expectations.
On the basis of region, the artificial intelligence in supply chain Market has been segmented into North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW). The artificial intelligence in supply chain Market in APAC is expected to grow at the highest CAGR during the forecast period. Market growth can be attributed to increasing adoption of deep learning and NLP technologies for automotive, retail, and manufacturing applications in APAC. Moreover, the presence of major players in the artificial intelligence in supply chain ecosystem results in the increasing adoption of artificial intelligence in APAC.
Artificial Intelligence in Supply Chain Market, By Region 2025 (USD Million)
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Major market players in Artificial Intelligence in Supply Chain Market are NVIDIA, IBM, Intel, Xilinx, Samsung Electronics, Micron Technology, Microsoft, Amazon, SAP, Oracle, Logility, LLamasoft, Inc., ClearMetal, Splice Machine, Cainiao Network (Alibaba), FedEx, Deutsche Post AG DHL,and Other Company Profiles will be provided as per client business requirement.
Artificial Intelligence in Supply Chain Market Segmentation:
Artificial Intelligence in Supply Chain Market, by Offering
Hardware
Software
Services
Artificial Intelligence in Supply Chain Market, by Technology
Machine Learning
Natural Language Processing
Context-aware Computing
Computer Vision
Artificial Intelligence in Supply Chain Market, by Application
Fleet Management
Supply Chain Planning
Warehouse Management
Virtual Assistant
Risk Management
Freight Brokerage
Others
Artificial Intelligence in Supply Chain Market, by End-user Market
Automotive
Aerospace
Manufacturing
Retail
Healthcare
Consumer-packaged Goods
Food and Beverages
Others
Artificial Intelligence in Supply Chain Market Overview, by Region
North America
USA
Canada
Europe
Germany
U.K.
France
Italy
Rest of Europe
APAC
China
India
Japan
Rest of Asia-Pacific
RoW
Latin America
Middle East & Africa
ANSWERED TO THE FREQUENTLY ASKED QUESTIONS :
WHAT IS THE SCOPE OF THE REPORT?
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
WHAT ARE THE KEY SEGMENTS IN THE MARKET?
*By product type
*By End User/Applications
*By Technology
*By Region
WHICH MARKET DYNAMICS AFFECTS THE BUSINESS?
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
Key Topic Covered in this Report
*Market Growth Opportunities
*Leading Market Players
*Market Size and Growth Rate
*Market Growth Drivers
*Company Market Share
*Market Trends and Technological
The Automotive Logistics Market report highlight the economy, past and emerging trend of industry, and availability of basic resources. Furthermore, the market report explains development trend, analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out. In the end, the report makes some important proposals for a new project of Automotive Logistics Market before evaluating its possibility.
Reasons to Purchase this Report
*Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
*Provision of market value (USD Billion) data for each segment and sub-segment
*Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
*Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
*Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
*Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
Read More: https://www.kennethresearch.com/report-details/automotive-logistics-market/10085496
About Kenneth Research
Kenneth Research is a reselling agency providing market research solutions in different verticals such as Automotive and Transportation, Chemicals and Materials, Healthcare, Food & Beverage and Consumer Packaged Goods, Semiconductors, Electronics & ICT, Packaging, and Others. Our portfolio includes set of market research insights such as market sizing and market forecasting, market share analysis and key positioning of the players (manufacturers, deals and distributors, etc), understanding the competitive landscape and their business at a ground level and many more. Our research experts deliver the offerings efficiently and effectively within a stipulated time. The market study provided by Kenneth Research helps the Industry veterans/investors to think and to act wisely in their overall strategy formulation
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Artificial Intelligence in Supply Chain Market Analysis, Size, Share, Growth, Trends and Forecast to 2025
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Artificial Intelligence Supply Chain Market Analysis, Size, Share, Growth, Trends Forecast 2025 Nyse News Times Skip content Monday, March 16, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Artificial Intelligence Supply Chain Market Analysis, Size, Share, Growth, Trends Forecast 2025 [emailprotected] March 16, 2020 No Comments Global Artificial Intelligence Supply Chain Market valued USD 767.8 Million year 2018. Global Artificial Intelligence Supply Chain Market estimated grow CAGR 45.6 2018 2025 reach USD 10,111 Million. Growth Market mainly driven factors growing big data, demand greater visibility transparency supply chain data processes, adoption AI improving consumer services satisfaction. The major restraint Market limited number artificial intelligence technology experts. Get Sample Request Here @ The size AI supply chain Market arrived based segments offerings, technology, application, enduser Market, region. The artificial intelligence supply chain Market, offering, segmented software, services, hardware. Software segment growing healthy rate. The adoption AI increasing rapidly applications. Continuous developments witnessed AI related software development kits. Also, AI software capable behaving intelligently. Creating intelligent software involves simulating number capabilities, include reasoning, learning, problemsolving, perception, knowledge representation. Depending technology, artificial intelligence supply chain segmented machine learning ML, natural language processing NLP, contextaware computing, vision. The Market vision expected grow higher rate. The growing adoption vision autonomous semiautonomous applications industries, manufacturing automotive, propelling growth technology artificial intelligence supply chain Market. Research Methodology Research: Moreover, Market segmented, basis enduser Market, automotive, aerospace, manufacturing, retail, healthcare, consumerpackaged goods, food beverages, others. Among enduser industries, Market consumerpackaged goods expected grow highest CAGR forecast period. The adoption AI consumer goods increasing ability collect data, interact customers, capture images, changes creating permanent impact customers expectations. On basis region, artificial intelligence supply chain Market segmented North America, Europe, Asia Pacific APAC, Rest World RoW. The artificial intelligence supply chain Market APAC expected grow highest CAGR forecast period. Market growth attributed increasing adoption deep learning NLP technologies automotive, retail, manufacturing applications APAC. Moreover, presence major players artificial intelligence supply chain ecosystem results increasing adoption artificial intelligence APAC. Artificial Intelligence Supply Chain Market, By Region 2025 USD Million Get Sample Request Here @ Major market players Artificial Intelligence Supply Chain Market NVIDIA, IBM, Intel, Xilinx, Samsung Electronics, Micron Technology, Microsoft, Amazon, SAP, Oracle, Logility, LLamasoft, ., ClearMetal, Splice Machine, Cainiao Network Alibaba, FedEx, Deutsche Post AG DHL,and Other Company Profiles provided client business requirement. Artificial Intelligence Supply Chain Market Segmentation: Artificial Intelligence Supply Chain Market, Offering Hardware Software Services Artificial Intelligence Supply Chain Market, Technology Machine Learning Natural Language Processing Contextaware Computing Computer Vision Artificial Intelligence Supply Chain Market, Application Fleet Management Supply Chain Planning Warehouse Management Virtual Assistant Risk Management Freight Brokerage Others Artificial Intelligence Supply Chain Market, Enduser Market Automotive Aerospace Manufacturing Retail Healthcare Consumerpackaged Goods Food Beverages Others Artificial Intelligence Supply Chain Market Overview, Region North America USA Canada Europe Germany U.K. France Italy Rest Europe APAC China India Japan Rest AsiaPacific RoW Latin America Middle East Africa ANSWERED TO THE FREQUENTLY ASKED QUESTIONS : WHAT IS THE SCOPE OF THE REPORT? This market study covers global regional market indepth analysis overall growth prospects market. Furthermore, sheds light comprehensive competitive landscape global market. The report offers dashboard overview leading companies encompassing successful marketing strategies, market contribution, recent developments historic present contexts. WHAT ARE THE KEY SEGMENTS IN THE MARKET? By product type By End UserApplications By Technology By Region WHICH MARKET DYNAMICS AFFECTS THE BUSINESS? The report provides detailed evaluation market highlighting information different aspects include drivers, restraints, opportunities, threats. This information help stakeholders appropriate decisions investing. Key Topic Covered Report Market Growth Opportunities Leading Market Players Market Size Growth Rate Market Growth Drivers Company Market Share Market Trends Technological The Automotive Logistics Market report highlight economy, past emerging trend industry, availability basic resources. Furthermore, market report explains development trend, analysis upstream raw materials, downstream demand, current market dynamics carried out. In end, report makes important proposals new project Automotive Logistics Market evaluating possibility. Reasons Purchase Report Qualitative quantitative analysis market based segmentation involving economic noneconomic factors Provision market value USD Billion data segment subsegment Indicates region segment expected witness fastest growth dominate market Analysis geography highlighting consumption productservice region indicating factors affecting market region Competitive landscape incorporates market ranking major players, new serviceproduct launches, partnerships, business expansions acquisitions past years companies profiled Extensive company profiles comprising company overview, company insights, product benchmarking SWOT analysis major market players Read More: About Kenneth Research Kenneth Research reselling agency providing market research solutions different verticals Automotive Transportation, Chemicals Materials, Healthcare, Food Beverage Consumer Packaged Goods, Semiconductors, Electronics ICT, Packaging, Others. Our portfolio includes set market research insights market sizing market forecasting, market share analysis key positioning players manufacturers, deals distributors, etc, understanding competitive landscape business ground level more. Our research experts deliver offerings efficiently effectively stipulated time. The market study provided Kenneth Research helps Industry veteransinvestors think act wisely overall strategy formulation Us Kenneth Research Email: [emailprotected] Phone: 13476270064 BRIC Breast Pump Market Feed Acidifiers Market Hydronic Control Market Wall Decor Market Facility Management Market Hydroxyapatite HAp Market Insulated Concrete Form Market Blockchain Energy Market Smart Agriculture Market Offshore Wind Energy Market Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global Bile Duct Cancer Drug Market 2020 report Companies: Company 1, Company 2, Company 3, Company 4, Company 5, etc.Next Next post: Global Intelligent Cash Market Size, Status And Forecast 20202026 Recent Posts Compound Sodium Chloride Eye Drops Market 20202026 Comprehensive Study Explores Huge Growth Future Worldwide Key Players: Bausch Lomb, Akorn , Novagali Pharma S.A., Allergan, ., etc. Global Compound Paracetamol And Amantadine Hydrochloride Tablets Market 2020 report Companies: Company 1, Company 2, Company 3, Company 4, Company 5, etc. Corduroy Market Rising Growth With Keyplayer: Velcord, Laxmichand V Shah Co, Tcm Textiles, Kailashvivek Co Global Scenario: Compound Amantadine Hydrochloride Market 2020 Key Vendors: Company 1, Company 2, Company 3, Company 4, Company 5, etc. Composite Forming Equipment Market 20202026 Comprehensive Study Explores Huge Growth Future Worldwide Key Players: Buhler, Colosio Srl, Guannan Die Casting Machine, Simhope, L.K. Group, etc. Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top
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| 2020-03-13T00:00:00 |
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Artificial Intelligence in the Education Sector Market to witness astonishing growth with Key Players | Cognii, IBM Corporation, Quantum Adaptive Learning – Nyse News Times
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Artificial Intelligence in the Education Sector Market to witness astonishing growth with Key Players | Cognii, IBM Corporation, Quantum Adaptive Learning – Nyse News Times
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Artificial Intelligence in the Education Sector Market to witness astonishing growth with Key Players | Cognii, IBM Corporation, Quantum Adaptive Learning
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This report first introduced the basics of the Artificial Intelligence in the Education Sector market: definitions, classification, application and market overview; Specifications; Manufacture process; Cost structure, raw materials and so on. We then analyzed key global market conditions, including product prices, profits, capacity, production, supply, demand, and market growth and forecasts.
Get Artificial Intelligence in the Education Sector Free Sample report @: www.statsandreports.com/request-sample/298583-global-artificial-intelligence-in-the-education-sector-market-size-status-and-forecast-2019-2025
This research provides a complete list of all the major companies working in the Global Artificial Intelligence in the Education Sector Market. In addition, the latest expansion in the global market with financial status, company profile, business strategy and policy has been mentioned in research studies.
Key Segments Studied in the Global Artificial Intelligence in the Education Sector Market
Segment
Details
Market Analysis By Type
Learner Model, Pedagogical Model, Domain Model
Market Analysis By Applications
Higher Education, Primary and Secondary Education and Others
Market Analysis By Regions
North America, Europe, China, Japan, Southeast Asia, India and Central & South America
Market Analysis By Companies
Cognii, IBM Corporation, Quantum Adaptive Learning, ALKES Corporation, Dreambox Learning, Blackboard, Microsoft Corporation, Pearson Corporation, Jenzabar, SOFIA Labs.
Study purposes:
• Research and analyze the world Artificial Intelligence in the Education Sector market size based on key regions / countries, product types and uses, historical data from 2013 to 2018 and forecasts to 2025.
• Understand the structure of the Artificial Intelligence in the Education Sector market by identifying the various sub-sectors.
• Focus on key Artificial Intelligence in the Education Sector market players to define, describe and analyze value, market share, market competition, SWOT analysis and development plans over the next few years.
• Analyze the Artificial Intelligence in the Education Sector market in relation to individual growth trends, future prospects and contributions to the total market.
• Share detailed information about the key factors (growth potential, opportunities, drivers, industry assignments and risks) affecting market growth.
• Analyze competitive developments such as market expansion, contracts, new product launches and acquisitions.
Read TOC of full Research Study at @ www.statsandreports.com/report/298583-global-artificial-intelligence-in-the-education-sector-market-size-status-and-forecast-2019-2025
Sample Table: Global Artificial Intelligence in the Education Sector Market Size By Regions (USD Million) (2014-2025)
Regions
2014
2016
2018
2020
2022
2024
2025
CAGR %
(2019-2025)
North America
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XX%
Europe
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XX%
APAC
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XX%
Rest of the World
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XX%
Total
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XX%
Buy Single User PDF license of this research report @ www.statsandreports.com/placeorder?report=298583-global-artificial-intelligence-in-the-education-sector-market-size-status-and-forecast-2019-2025
In the end, the report will include SWOT analysis of new projects in the global Artificial Intelligence in the Education Sector market, investment feasibility analysis, ROI analysis and development analysis. The report also presents a vulnerability that must be avoided by companies operating in the marketplace to enjoy sustainable growth during the forecast period.
Essentials of Table of Content:
1 Report Overview
1.1 Research Scope
1.2 Key Market Segments
1.3 Target Player
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Learning Objectives
1.7 years considered
2 Global Growth Trends
2.1 Worldwide Artificial Intelligence in the Education Sector Market Size
2.2 Trends of Artificial Intelligence in the Education Sector Growth by Region
2.3 Corporate trends
Three market shares by key players
3.1 Worldwide Artificial Intelligence in the Education Sector Market Size by Manufacturer
3.2 Worldwide Artificial Intelligence in the Education Sector Key players Provide headquarters and local
3.3 Major Players Products / Solutions / Services
3.4 Enter the Barriers in the Artificial Intelligence in the Education Sector Market
3.5 Mergers, acquisitions and expansion plans
4 Market By-products
4.1 Worldwide Artificial Intelligence in the Education Sector Sales by Product
4.2 Global Artificial Intelligence in the Education Sector by Product Revenue
4.3 Worldwide Artificial Intelligence in the Education Sector
Continued………..
Note: Regional Breakdown & Sectional purchase Available We provide Pie chats Best Customize Reports As per Requirements.
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Artificial Intelligence in the Education Sector Market to witness astonishing growth with Key Players
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Artificial Intelligence Education Sector Market witness astonishing growth Key Players Cognii, IBM Corporation, Quantum Adaptive Learning Nyse News Times Skip content Friday, March 13, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Featured Market Analysis Market Research Artificial Intelligence Education Sector Market witness astonishing growth Key Players Cognii, IBM Corporation, Quantum Adaptive Learning [emailprotected] March 13, 2020 No Comments Artificial Intelligence Education Sector Market DevelopmentArtificial Intelligence Education Sector market FutureArtificial Intelligence Education Sector Market GrowthArtificial Intelligence Education Sector market Key CountriesArtificial Intelligence Education Sector Market Latest ReportArtificial Intelligence Education Sector market SWOT analysisArtificial Intelligence Education Sector market Top ManufacturersArtificial Intelligence Education Sector Sales marketglobal Artificial Intelligence Education Sector market Applicationglobal Artificial Intelligence Education Sector Market rising trends Stats And Reports added new Global Artificial Intelligence Education Sector Market Study scrutinizes current scenarios future market size, market share, demand, growth, trends forecasts. This report introduced basics Artificial Intelligence Education Sector market: definitions, classification, application market overview; Specifications; Manufacture process; Cost structure, raw materials on. We analyzed key global market conditions, including product prices, profits, capacity, production, supply, demand, market growth forecasts. Get Artificial Intelligence Education Sector Free Sample report This research provides complete list major companies working Global Artificial Intelligence Education Sector Market. In addition, latest expansion global market financial status, company profile, business strategy policy mentioned research studies. Key Segments Studied Global Artificial Intelligence Education Sector Market Segment Details Market Analysis By Type Learner Model, Pedagogical Model, Domain Model Market Analysis By Applications Higher Education, Primary Secondary Education Others Market Analysis By Regions North America, Europe, China, Japan, Southeast Asia, India Central South America Market Analysis By Companies Cognii, IBM Corporation, Quantum Adaptive Learning, ALKES Corporation, Dreambox Learning, Blackboard, Microsoft Corporation, Pearson Corporation, Jenzabar, SOFIA Labs. Study purposes: Research analyze world Artificial Intelligence Education Sector market size based key regions countries, product types uses, historical data 2013 2018 forecasts 2025. Understand structure Artificial Intelligence Education Sector market identifying subsectors. Focus key Artificial Intelligence Education Sector market players define, analyze value, market share, market competition, SWOT analysis development plans years. Analyze Artificial Intelligence Education Sector market relation individual growth trends, future prospects contributions total market. Share detailed information key factors growth potential, opportunities, drivers, industry assignments risks affecting market growth. Analyze competitive developments market expansion, contracts, new product launches acquisitions. Read TOC Research Study @ Sample Table: Global Artificial Intelligence Education Sector Market Size By Regions USD Million 20142025 Regions 2014 2016 2018 2020 2022 2024 2025 CAGR 20192025 North America XXX XXX XXX XXX XXX XXX XXX XX Europe XXX XXX XXX XXX XXX XXX XXX XX APAC XXX XXX XXX XXX XXX XXX XXX XX Rest World XXX XXX XXX XXX XXX XXX XXX XX Total XXX XXX XXX XXX XXX XXX XXX XX Buy Single User PDF license research report @ In end, report include SWOT analysis new projects global Artificial Intelligence Education Sector market, investment feasibility analysis, ROI analysis development analysis. The report presents vulnerability avoided companies operating marketplace enjoy sustainable growth forecast period. Essentials Table Content: 1 Report Overview 1.1 Research Scope 1.2 Key Market Segments 1.3 Target Player 1.4 Market Analysis Type 1.5 Market Application 1.6 Learning Objectives 1.7 years considered 2 Global Growth Trends 2.1 Worldwide Artificial Intelligence Education Sector Market Size 2.2 Trends Artificial Intelligence Education Sector Growth Region 2.3 Corporate trends Three market shares key players 3.1 Worldwide Artificial Intelligence Education Sector Market Size Manufacturer 3.2 Worldwide Artificial Intelligence Education Sector Key players Provide headquarters local 3.3 Major Players Products Solutions Services 3.4 Enter Barriers Artificial Intelligence Education Sector Market 3.5 Mergers, acquisitions expansion plans 4 Market Byproducts 4.1 Worldwide Artificial Intelligence Education Sector Sales Product 4.2 Global Artificial Intelligence Education Sector Product Revenue 4.3 Worldwide Artificial Intelligence Education Sector Continued.. Note: Regional Breakdown Sectional purchase Available We provide Pie chats Best Customize Reports As Requirements. Stats Reports global market research consulting service provider specialized offering wide range business solutions clients including market research reports, primary secondary research, demand forecasting services, focus group analysis services. We understand data important todays competitive environment thus, collaborated industrys leading research providers works continuously meet evergrowing demand market research reports year. : Stats Reports Satish K. Global Sales Manager Mangalam Chamber, Office No 16, Paud Road Sankalp Society, Kothrud, Pune, Maharashtra 411038 Phone: 1 6506463808 Email:[emailprotected] Web: on:LinkedINTwitter Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: English Proficiency Test Market Analysis 2020 Top Growing Companies: Berlitz Languages,Transparent Language,Inlingua International,Pearson ELT,Rosetta Stone,Sanako CorporationNext Next post: Global PV Charging Station Market Grow Significantly Leading Players 2020 2025 Recent Posts Exercise Bikes Market Scope 2020 Brunswick, ICON Health Fitness, Nautilus, Precor, Technogym, Asian Sports Enterprises Huge Growth Enterprise Firewall Software Market By Top Key Players Cisco Systems, Fortinet, Juniper Networks, McAfee Blood Coagulation Analyzer market Top Key Players: Faro Technologies, Creaform acquired Ametek, Konica Minolta, 3D Systems, Autodesk, Shapegrabber acquired Quality Vision International Smart Appliances Market Scope 2020 Remote Technologies , Samsung, Interface, ., Haier Group , Visual Group, Bosch Insulated Gate Bipolar Transistor Market Scope 2020 Infineon Technologies AG, Fujitsu Ltd, NXP Semiconductors N.V, STMicroelectronics N.V. 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Big Data and Data Engineering Services Market 2020: Remarking Enormous Growth with Recent Trends | Capgemini,Franz Inc,Hidden Brains InfoTech,L&T Technology Services,NTT DATA,Genpact – Market Reports
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Big Data and Data Engineering Services Market 2020: Remarking Enormous Growth with Recent Trends | Capgemini,Franz Inc,Hidden Brains InfoTech,L&T Technology Services,NTT DATA,Genpact – Market Reports
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Big Data and Data Engineering Services Market 2020: Remarking Enormous Growth with Recent Trends | Capgemini,Franz Inc,Hidden Brains InfoTech,L&T Technology Services,NTT DATA,Genpact
[email protected] January 18, 2021
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Big Data and Data Engineering Services Big Data and Data Engineering Services Industry AnalysisBig Data and Data Engineering Services InsightsBig Data and Data Engineering Services OutlookBig Data and Data Engineering Services Research CompaniesBig Data and Data Engineering Services Research CompanyBig Data and Data Engineering Services SegmentationBig Data and Data Engineering Services StatusBig Data and Data Engineering Services Trend
Global Big Data and Data Engineering Services Market Forecast 2019-2026
A new report, Global Big Data and Data Engineering Services Market provides an overview of recent factors enabling growth in the global Big Data and Data Engineering Services industry. According to the report, recent innovations have created sevenral growth opportunities for prevailing companies as well as newer market entrants.
Global Big Data and Data Engineering Services Research Reports provides information regarding market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution and forecast 2026.
The key manufacturers covered in this report are: Capgemini,Franz Inc,Hidden Brains InfoTech,L&T Technology Services,NTT DATA,Genpact,Cognizant,Infosys,Mphasis,Hexaware,Happiest Minds,KPMG,EY,Tiger Analytics,LatentView Analytics,InfoStretch,Vensai Technologies,Course5,Sigmoid,Nous Infosystems,Bodhtree,Brillio,BRIDGEi2i
Get a sample copy of the report at – https://www.reportsandmarkets.com/sample-request/global-big-data-and-data-engineering-services-market-size-status-and-forecast-2019-2025?utm_source=sp&utm_medium=6
This report also includes the overall and comprehensive study of the Big Data and Data Engineering Services with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Big Data and Data Engineering Services industry and provides data for making strategies to increase the market growth and effectiveness.
The Global Big Data and Data Engineering Services 2020 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Big Data and Data Engineering Services analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.
Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.
In addition to this, regional analysis is conducted to identify the leading region and calculate its share in the global Big Data and Data Engineering Services. Various factors positively impacting the growth of the Big Data and Data Engineering Services in the leading region are also discussed in the report. The global Big Data and Data Engineering Services is also segmented on the basis of types, end users, geography and other segments.
Reasons for Buying this Report
This report provides pin-point analysis for changing competitive dynamics
It provides a forward looking perspective on different factors driving or restraining market growtho It provides a six-year forecast assessed on the basis of how the market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments
The report can answer the following questions:
What is the global (North America, South America, Europe, Africa, Middle East, Asia, China, Japan) production, production value, consumption, consumption value, import and export of Big Data and Data Engineering Services?
Who are the global key manufacturers of Big Data and Data Engineering Services industry? How are their operating situation (capacity, production, price, cost, gross and revenue)?
What are the types and applications of Big Data and Data Engineering Services? What is the market share of each type and application?
What are the upstream raw materials and manufacturing equipment of Big Data and Data Engineering Services? What is the manufacturing process of Big Data and Data Engineering Services?
Economic impact on Big Data and Data Engineering Services industry and development trend of Big Data and Data Engineering Services industry.
What will the Big Data and Data Engineering Services market size and the growth rate be in 2024?
What are the key factors driving the global Big Data and Data Engineering Services industry?
What are the key market trends impacting the growth of the Big Data and Data Engineering Services market?
What are the Big Data and Data Engineering Services market challenges to market growth?
What are the Big Data and Data Engineering Services market opportunities and threats faced by the vendors in the global Big Data and Data Engineering Services market?
Objective of Studies:
To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the global Big Data and Data Engineering Services market.
To provide insights about factors affecting the market growth. To analyze the Big Data and Data Engineering Services market based on various factors- price analysis, supply chain analysis, Porte five force analysis etc.
To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, Latin America and Rest of the World.
To provide country level analysis of the market with respect to the current market size and future prospective.
To provide country level analysis of the market for segment by application, product type and sub-segments.
To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.
To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Big Data and Data Engineering Services market.
Get Complete Report: https://www.reportsandmarkets.com/sample-request/global-big-data-and-data-engineering-services-market-size-status-and-forecast-2019-2025?utm_source=sp&utm_medium=6
Table of Content:
1 Study Coverage
2 Executive Summaries
3 Breakdown Data by Manufacturers
4 Breakdown Data by Type
5 Breakdown Data by Application
6 North America
7 Europe
8 Asia Pacific
9 Central & South America
Applications
10 Middle East and Africa
11 Company Profiles
12 Future Forecast
13 Market Opportunities, Challenges, Risks and Influences Factors Analysis
14 Value Chain and Sales Channels Analysis
15 Research Findings and Conclusion
16 Appendix
About us
Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. This helps in understanding the market players and the growth forecast of the products and so the company. This is where market research companies come into the picture. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world.
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Manager – Partner Relations & International Marketing
www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
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Big Data and Data Engineering Services Market 2020: Remarking Enormous Growth with Recent Trends
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Big Data Data Engineering Services Market 2020: Remarking Enormous Growth Recent Trends Capgemini,Franz ,Hidden Brains InfoTech,LT Technology Services,NTT DATA,Genpact Market Reports Skip content Monday, January 18, 2021 Home Our Journalist Disclaimer Us home Market Reports Market News Research Market Reports Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Big Data Data Engineering Services Market 2020: Remarking Enormous Growth Recent Trends Capgemini,Franz ,Hidden Brains InfoTech,LT Technology Services,NTT DATA,Genpact [emailprotected] January 18, 2021 No Comments Big Data Data Engineering Services Big Data Data Engineering Services Industry AnalysisBig Data Data Engineering Services InsightsBig Data Data Engineering Services OutlookBig Data Data Engineering Services Research CompaniesBig Data Data Engineering Services Research CompanyBig Data Data Engineering Services SegmentationBig Data Data Engineering Services StatusBig Data Data Engineering Services Trend Global Big Data Data Engineering Services Market Forecast 20192026 A new report, Global Big Data Data Engineering Services Market provides overview recent factors enabling growth global Big Data Data Engineering Services industry. According report, recent innovations created sevenral growth opportunities prevailing companies newer market entrants. Global Big Data Data Engineering Services Research Reports provides information market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution forecast 2026. The key manufacturers covered report are: Capgemini,Franz ,Hidden Brains InfoTech,LT Technology Services,NTT DATA,Genpact,Cognizant,Infosys,Mphasis,Hexaware,Happiest Minds,KPMG,EY,Tiger Analytics,LatentView Analytics,InfoStretch,Vensai Technologies,Course5,Sigmoid,Nous Infosystems,Bodhtree,Brillio,BRIDGEi2i Get sample copy report This report includes overall comprehensive study Big Data Data Engineering Services aspects influencing growth market. This report exhaustive quantitative analyses Big Data Data Engineering Services industry provides data making strategies increase market growth effectiveness. The Global Big Data Data Engineering Services 2020 research provides basic overview industry including definitions, classifications, applications industry chain structure. The Global Big Data Data Engineering Services analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. In addition this, regional analysis conducted identify leading region calculate share global Big Data Data Engineering Services. Various factors positively impacting growth Big Data Data Engineering Services leading region discussed report. The global Big Data Data Engineering Services segmented basis types, end users, geography segments. Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forward looking perspective different factors driving restraining market growtho It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments The report answer following questions: What global North America, South America, Europe, Africa, Middle East, Asia, China, Japan production, production value, consumption, consumption value, import export Big Data Data Engineering Services? Who global key manufacturers Big Data Data Engineering Services industry? How operating situation capacity, production, price, cost, gross revenue? What types applications Big Data Data Engineering Services? What market share type application? What upstream raw materials manufacturing equipment Big Data Data Engineering Services? What manufacturing process Big Data Data Engineering Services? Economic impact Big Data Data Engineering Services industry development trend Big Data Data Engineering Services industry. What Big Data Data Engineering Services market size growth rate 2024? What key factors driving global Big Data Data Engineering Services industry? What key market trends impacting growth Big Data Data Engineering Services market? What Big Data Data Engineering Services market challenges market growth? What Big Data Data Engineering Services market opportunities threats faced vendors global Big Data Data Engineering Services market? Objective Studies: To provide detailed analysis market structure forecast segments subsegments global Big Data Data Engineering Services market. To provide insights factors affecting market growth. To analyze Big Data Data Engineering Services market based factors price analysis, supply chain analysis, Porte force analysis etc. To provide historical forecast revenue market segments subsegments respect main geographies countries North America, Europe, Asia, Latin America Rest World. To provide country level analysis market respect current market size future prospective. To provide country level analysis market segment application, product type subsegments. To provide strategic profiling key players market, comprehensively analyzing core competencies, drawing competitive landscape market. To track analyze competitive developments joint ventures, strategic alliances, mergers acquisitions, new product developments, research developments global Big Data Data Engineering Services market. Get Complete Report: Table Content: 1 Study Coverage 2 Executive Summaries 3 Breakdown Data Manufacturers 4 Breakdown Data Type 5 Breakdown Data Application 6 North America 7 Europe 8 Asia Pacific 9 Central South America Applications 10 Middle East Africa 11 Company Profiles 12 Future Forecast 13 Market Opportunities, Challenges, Risks Influences Factors Analysis 14 Value Chain Sales Channels Analysis 15 Research Findings Conclusion 16 Appendix About Market research new buzzword market, helps understanding market potential product market. This helps understanding market players growth forecast products company. This market research companies come picture. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Rooftop Solar Photovoltaic PV Market Recent Developments, Trends, Demand Growth Forecasts To 2026Next Next post: Market Forecast Report Dry Powder Extinguishers 20192025 Recent Posts Arthroscopy Products Market Revenue Status 2019 Medtronic, Aesculap, KARL STORZ, Acumed, Arthrex Global Glued Laminated Timber Glulam Market 2019 Competition Landscape 2024 Boise Cascade Co., Calvert Company ., Pfeifer Holz GmbH, Canfor Corporation, Setra Group AB Automotive Crash Sensors Market Revenue Status 2019 Continental, DENSO, Analog Devices, Bosch Sensotech Global Aerosol Packaging Market 2019 Competition Landscape 2024 Crown Holdings, ., Ball Corporation, Ardagh Group S.A., CCL Industries . Global Strapping Materials Market 2019 Competition Landscape 2024 3M Company, Mosca GmbH, Cyklop International, Strapack, blogGlobal Outsourced Softwaree Testing Services Market 2021 Recent Developments 2027 Forecast Outlook By Accenture, Thinksoft Global Services, Capgemini, Cognizant Technology Solutions, IBM, LogicaChinese electric vehicle manufacturers compete foreign markets right decisions strategiesVolkswagen Group Audi ready rival TeslaWest Baton Rouge officials moving require licenses result solar plants worksMore wind solar energy 2020 Belgiums green powerTATA motors strive produce cheaper model EVsSony testing electric vehicle technology standard roadsProterra intends reinvent public market SPAC agreementPlans solar plants Berkeley County hold solar energymomentum WV runningLow tax guarantees solar benefitsThe school board Pottsville Area upgrading solar panelsTexas legislators proposing charge fee electric cars hybridsElectric vehicles investmentGPS policy directive released Trump administration closing daysKia rolling purely electric vehicle making changesHindrances transition electric vehiclesHotfire test Green Run stops prematurelyChennai Startup set revolutionize electric vehicle industryElectric vehicle industry operating topnotch levelEurope set leader electric vehicle production Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. January 2021 M T W T F S S Sep 123 45678910 11121314151617 18192021222324 25262728293031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us home Market Reports Designed by: Theme Freesia WordPress All right reserved Top
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] | 1 | 197,001 |
https://phys.org/news/2023-03-protein-sequences-meta-ai-esm-.html
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Predicting protein folding from single sequences with Meta AI ESM-2
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Predicting protein folding from single sequences with Meta AI ESM-2
by Justin Jackson , Phys.org
Emergence of structure when scaling language models to 15 billion parameters. (A) Predicted contact probabilities (bottom right) and actual contact precision (top left) for PDB 3LYW. A contact is a positive prediction if it is within the top L most likely contacts for a sequence of length L. (B to D) Unsupervised contact prediction performance [long-range precision at L (P@L)] (SM A.2.1) for all scales of the ESM-2 model. (B) Performance binned by the number of MMseqs hits when searching the training set. Larger ESM-2 models perform better at all levels; the 150-million-parameter ESM-2 model is comparable to the 650-million-parameter ESM-1b model. (C) Trajectory of improvement as model scale increases for sequences with different numbers of MMseqs hits. (D) Left-to-right shows models from 8 million to 15 billion parameters, comparing the smaller model (x axis) against the next larger model (y axis) through unsupervised contact precision. Points are PDB proteins colored by change in perplexity for the sequence between the smaller and larger model. Sequences with large changes in contact prediction performance also exhibit large changes in language model understanding measured by perplexity. (E) TM-score on combined CASP14 and CAMEO test sets. Predictions are made by using structure module–only head on top of language models. Points are colored by the change in perplexity between the models. (F) Structure predictions on CAMEO structure 7QQA and CASP target 1056 at all ESM-2 model scales, colored by pLDDT (pink, low; teal, high). For 7QQA, prediction accuracy improves at the 150-million-parameter threshold. For T1056, prediction accuracy improves at the 15-billion-parameter threshold. Credit: Science (2023). DOI: 10.1126/science.ade2574
Researchers from Facebook AI Research (FAIR) at Meta AI have published a paper in the journal Science detailing a machine-learning-created database of 617 million predicted protein structures. The ESMFold language model described the structures 60 times faster than DeepMinds AlphaFold2, though with less reported accuracy.
The fold predictions were completed in just two weeks on a cluster of about 2,000 GPUs. The initial sequence lengths ranged from 20 to 1,024 nucleotides. 365 million predictions were made with good confidence, and ∼225 million predictions fell within a high confidence of accuracy.
According to the report, "Evolutionary-scale prediction of atomic-level protein structure with a language model," a random sample of 1 million high-confidence results showed that 767,580 proteins have a sequence identity below 90% to any sequence in UniRef90, a database of known protein sequences. Researchers believe this indicates that the proteins are distinct from existing UniRef90 sequences.
The Meta AI team then compared the sample of predicted structures with known structures in the Protein Data Bank, a database for three-dimensional protein structures. At thresholds 0.5 TM-score, 12.6% (125,765 proteins) were without a structural component match. Based on this, researchers estimate that about 28 million proteins (12.6% of 225 million) with high-confidence predictions could characterize regions of protein structure that are distant from existing knowledge.
Predictions based on sequences
A protein begins as a linear sequence of nucleotides copied from DNA (transcription), creating messenger-RNA, a raw ingredient wish list of the protein it will become. The mRNA nucleotides are then translated into amino acids (the raw ingredients). This chain of amino acids then undergoes an incredible transformation into a complex three-dimensional folded shape that, depending on its folded structure, carries out specific intricate cellular functions.
How a protein or enzyme folds in part determines its function because it limits and optimizes what it can interact with. The structure creates an opening or "lock" that only operates with the correct molecular "key." People have been using these lock and key enzymes for everything from the food industry and beer brewing to textiles and biofuel without a detailed understanding of how the proteins are actually folded.
Laundry detergents typically contain several types of enzymes, some of which will be cellulases that break down plant material. When the cellulase enzyme encounters cellulose from a grass stain, the cellulose becomes the key that fits the lock. The enzyme triggers a chemical reaction breaking down the bonds within the grass stain. The same enzyme will do nothing when encountering a lipstick or grease stain, that may be a job for another enzyme.
A single protein enzyme might perform a task thousands or even millions of times per second without breaking, offering industries a low-energy powerhouse of a catalyst and making enzymes an instrumental technology.
Every system in our body also relies on proteins to carry out biological functions. Because the folded structure of a protein is crucial to the activity it can engage in, understanding this structure is critical to understanding how they work when investigating causes of disease.
The ability to predict how a protein will fold based on the primary sequence of amino acids (raw ingredients) would allow medical researchers to better understand protein metabolite interactions and biological functions throughout the body. This higher-resolution understanding could identify hidden disease traits, accelerate research into new or better treatments and somewhat revolutionize modern medicine. Understanding precisely how structure follows the form of raw ingredients (translated mRNA) would also allow researchers to build custom proteins to perform specific tasks in healthcare and industry.
In the decades preceding AI prediction models, scientists modeled the structures of about 190,000 proteins of interest. Machine learning has now generated hundreds of millions of predictions that still need to be confirmed and studied to be useful. While still not reliable enough to replace the slower methodical X-ray crystallography for structure or a controlled assay experiment for function, AI is just getting started. The knowledge gained in the decades to come will likely eclipse everything that came before.
More information:
Zeming Lin et al, Evolutionary-scale prediction of atomic-level protein structure with a language model, Science (2023). DOI: 10.1126/science.ade2574
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Predicting protein folding from single sequences with Meta AI ESM-2
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Predicting protein folding single sequences Meta AI ESM2 Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Chemistry Biology Other Sciences Medicine Technology share Share 4 Share Email Home Biology Biotechnology Home Biology Molecular Computational biology March 23, 2023 report Editors notes This article reviewed according ScienceXs editorial process policies. Editors highlighted following attributes ensuring contents credibility: factchecked peerreviewed publication trusted source proofread Predicting protein folding single sequences Meta AI ESM2 Justin Jackson , Emergence structure scaling language models 15 billion parameters. A Predicted contact probabilities right actual contact precision left PDB 3LYW. A contact positive prediction L likely contacts sequence length L. B D Unsupervised contact prediction performance [longrange precision L P SM A.2.1 scales ESM2 model. B Performance binned number MMseqs hits searching training set. Larger ESM2 models perform better levels; 150millionparameter ESM2 model comparable 650millionparameter ESM1b model. C Trajectory improvement model scale increases sequences different numbers MMseqs hits. D Lefttoright shows models 8 million 15 billion parameters, comparing smaller model x axis larger model axis unsupervised contact precision. Points PDB proteins colored change perplexity sequence smaller larger model. Sequences large changes contact prediction performance exhibit large changes language model understanding measured perplexity. E TMscore combined CASP14 CAMEO test sets. Predictions structure moduleonly head language models. Points colored change perplexity models. F Structure predictions CAMEO structure 7QQA CASP target 1056 ESM2 model scales, colored pLDDT pink, low; teal, high. For 7QQA, prediction accuracy improves 150millionparameter threshold. For T1056, prediction accuracy improves 15billionparameter threshold. Credit: Science 2023. DOI: 10.1126science.ade2574 Researchers Facebook AI Research FAIR Meta AI published paper journal Science detailing machinelearningcreated database 617 million predicted protein structures. The ESMFold language model described structures 60 times faster DeepMinds AlphaFold2, reported accuracy. The fold predictions completed weeks cluster 2,000 GPUs. The initial sequence lengths ranged 20 1,024 nucleotides. 365 million predictions good confidence, 225 million predictions fell high confidence accuracy. According report, Evolutionaryscale prediction atomiclevel protein structure language model, random sample 1 million highconfidence results showed 767,580 proteins sequence identity 90 sequence UniRef90, database known protein sequences. Researchers believe indicates proteins distinct existing UniRef90 sequences. The Meta AI team compared sample predicted structures known structures Protein Data Bank, database threedimensional protein structures. At thresholds 0.5 TMscore, 12.6 125,765 proteins structural component match. Based this, researchers estimate 28 million proteins 12.6 225 million highconfidence predictions characterize regions protein structure distant existing knowledge. Predictions based sequences A protein begins linear sequence nucleotides copied DNA transcription, creating messengerRNA, raw ingredient wish list protein become. The mRNA nucleotides translated amino acids raw ingredients. This chain amino acids undergoes incredible transformation complex threedimensional folded shape that, depending folded structure, carries specific intricate cellular functions. How protein enzyme folds determines function limits optimizes interact with. The structure creates opening lock operates correct molecular key. People lock key enzymes food industry beer brewing textiles biofuel detailed understanding proteins actually folded. Laundry detergents typically contain types enzymes, cellulases break plant material. When cellulase enzyme encounters cellulose grass stain, cellulose key fits lock. The enzyme triggers chemical reaction breaking bonds grass stain. The enzyme encountering lipstick grease stain, job enzyme. A single protein enzyme perform task thousands millions times second breaking, offering industries lowenergy powerhouse catalyst making enzymes instrumental technology. Every body relies proteins carry biological functions. Because folded structure protein crucial activity engage in, understanding structure critical understanding work investigating causes disease. The ability predict protein fold based primary sequence amino acids raw ingredients allow medical researchers better understand protein metabolite interactions biological functions body. This higherresolution understanding identify hidden disease traits, accelerate research new better treatments somewhat revolutionize modern medicine. Understanding precisely structure follows form raw ingredients translated mRNA allow researchers build custom proteins perform specific tasks healthcare industry. In decades preceding AI prediction models, scientists modeled structures 190,000 proteins interest. Machine learning generated hundreds millions predictions need confirmed studied useful. While reliable replace slower methodical Xray crystallography structure controlled assay experiment function, AI getting started. The knowledge gained decades come likely eclipse came before. More information: Zeming Lin et al, Evolutionaryscale prediction atomiclevel protein structure language model, Science 2023. DOI: 10.1126science.ade2574 Journal information: Science 2023 Science X Network Citation: Predicting protein folding single sequences Meta AI ESM2 2023, March 23 retrieved 23 March 2023 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. Explore Why synonymous mutations silent 4shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Study explores nearby narrowline Seyfert 1 galaxy 14 minutes ago 0 Predicting protein folding single sequences Meta AI ESM2 20 minutes ago 0 Researchers tentatively place Tasmanian tiger extinction late 1990s 22 hours ago 0 Measuring cohesive force meteorite fragments identify mobility asteroids 22 hours ago 0 Chemists synthesize characterize novel helically chiral oxonium ion stereogenic oxygen atom center 22 hours ago 0 Study explores nearby narrowline Seyfert 1 galaxy 14 minutes ago How Antarcticas tiny nonicedwelling species survived ice age 16 minutes ago Artificial intelligence finds stars 18 minutes ago Doubling qubits life, researchers prove key theory quantum physics 19 minutes ago New soil sensor improve efficiency crop fertilization 48 minutes ago Without this, plants respond temperature 3 hours ago First 3Dprinted rocket lifts fails reach orbit 4 hours ago Phytoplankton blooms offer insight impacts climate change 4 hours ago Researchers create artificial enzyme fast detection diseaserelated hormone sweat 16 hours ago Copper artifacts reveal new cultural connections southern Africa 18 hours ago Related Stories Why synonymous mutations silent Dec 5, 2022 3D protein structure predictions AI boost cancer research drug discovery Nov 8, 2022 Computational biologists design novel improved triosephosphate isomerase barrel protein Dec 14, 2022 AI technology generates original proteins scratch Jan 26, 2023 Plausible steps evolution key protein fold RNA polymerases Jan 27, 2022 When researchers dont proteins need, AI hallucinate new structures Jan 6, 2022 Recommended New soil sensor improve efficiency crop fertilization 48 minutes ago Without this, plants respond temperature 3 hours ago Beethovens genome offers clues composers health family history 20 hours ago Researchers molecular processes eye light hits retina 21 hours ago Tackling counterfeit seeds unclonable labels 19 hours ago Researchers identify novel humanspecific mechanism skin barrier regeneration 18 hours ago Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . 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] | 1 | 197,002 |
https://playcrazygame.com/2022/02/16/galaxy-s22-understand-how-samsungs-ai-depth-mapping-works/
| 2022-02-16T00:00:00 |
en
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Galaxy S22: understand how Samsung's AI depth mapping works
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Galaxy S22: understand how Samsung's AI depth mapping works About Us Our Team Privacy Policy DMCA Policy Contact Us Play Crazy Game Trusted Gaming News Portal News Games PC PS4 Xbox One Switch Entertainment Celebrity News Technology Breaking News Larissa feels threatened by Pedro Scooby Galaxy S22: understand how Samsung’s AI depth mapping works 28 million Brazilians have R$8 billion to receive from banks Proofs for Income Tax must be sent by the 28th Enjoy! Redmi Note 11 Pro 5G and 11 Pro can already be purchased on AliExpress Workers can have up to R$2,950 to receive from Caixa; see if you are entitled Rio clubs mobilize to help victims of the rains in Petrópolis | football Mad Max 2 may be in production at Avalanche Studios Raízen (RAIZ4) shows quality in results, assess analysts; BTG sees value to be unlocked – Money Times Wife ‘gifts’ husband with mnage and then decides to exchange him for the wife – DiversEM Home/Technology/Galaxy S22: understand how Samsung’s AI depth mapping works Galaxy S22: understand how Samsung’s AI depth mapping works Raju Singh 8 mins ago Technology Comments Off on Galaxy S22: understand how Samsung’s AI depth mapping works 0 Views Among the many new features announced in conjunction with the Galaxy S22 lineup last week is AI depth mapping, which is available on all S22 series devices. This feature allows them to identify how objects are arranged in the scene even more efficiently.Artificial Intelligence depth mapping is present in all S22 devices because it is software-based. Basically, it uses an AI algorithm that reads metadata provided by camera sensors in real time to determine how far away objects in the scene are positioned.This distance interpretation allows the camera to better identify which objects should be sharper and which should be blurred when portrait mode is on, for example.To give you an idea, Samsung claims that the mapping is so accurate that it can identify even moving objects when the photo is captured – which can be useful for images of children, animals, vehicles and sports, for example.This mapping becomes even more efficient when we remember that the Galaxy S22 and S22 Plus received new sensors 23% larger than their predecessors, allowing the capture of more detail and more light with Adaptive Pixel technology.In a statement, Samsung says: It’s easy to take perfect portrait shots with new AI depth mapping, and your images will look better than ever, with even the smallest details captured sharply thanks to a sophisticated AI algorithm. And that same function works for your favorite pet too: the new Portrait Mode on the Galaxy S22/S22+ helps prevent your pet’s fur from blending into the background, so you always get the best picture of your pet. Finally, it is interesting to say that it is not necessary to activate depth mapping on the Galaxy S22 series, as the feature is already integrated and activated in the cameras of these devices, so just start the camera, point and shoot.(Updated Feb 16, 2022 at 9:54 am) Share Facebook Twitter Stumbleupon LinkedIn Pinterest About Raju Singh Raju has an exquisite taste. For him, video games are more than entertainment and he likes to discuss forms and art.Previous 28 million Brazilians have R$8 billion to receive from banksNext Larissa feels threatened by Pedro ScoobyRelated Articles Enjoy! Redmi Note 11 Pro 5G and 11 Pro can already be purchased on AliExpress19 mins ago Mad Max 2 may be in production at Avalanche Studios34 mins ago Smiles and Magalu offer up to 20 miles per real spent on the purchase of the Samsung Galaxy S2245 mins ago Check Also After all, the rocket that will collide with the Moon does not belong to SpaceX – ObserverYou have free access to all the articles of the Observer for being our subscriber. … Search for: Recent Posts Larissa feels threatened by Pedro Scooby Galaxy S22: understand how Samsung’s AI depth mapping works 28 million Brazilians have R$8 billion to receive from banks Proofs for Income Tax must be sent by the 28th Enjoy! Redmi Note 11 Pro 5G and 11 Pro can already be purchased on AliExpress Categories Business Celebrity News Entertainment Featured Games Google Stadia Health News PC PC Games PS4 PUBG Social Sports Steam Switch Technology Xbox One © 2022 Play Crazy Game, All Rights Reserved
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Galaxy S22: understand how Samsung's AI depth mapping works
|
Galaxy S22: understand Samsungs AI depth mapping works Our Team DMCA Policy Us Play Crazy Game Trusted Gaming News Portal News Games PC PS4 Xbox One Switch Entertainment Celebrity News Technology Breaking News Larissa feels threatened Pedro Scooby Galaxy S22: understand Samsungs AI depth mapping works 28 million Brazilians R8 billion receive banks Proofs ome Tax sent 28th Enjoy Redmi Note 11 Pro 5G 11 Pro purchased AliExpress Workers R2,950 receive Caixa; entitled Rio clubs mobilize help victims rains Petrpolis football Mad Max 2 production Avalanche Studios Razen RAIZ4 shows quality results, assess analysts; BTG sees value unlocked Money Times Wife gifts husband mnage decides exchange wife DiversEM HomeTechnologyGalaxy S22: understand Samsungs AI depth mapping works Galaxy S22: understand Samsungs AI depth mapping works Raju Singh 8 mins ago Technology Comments Off Galaxy S22: understand Samsungs AI depth mapping works 0 Views Among new features announced conjunction Galaxy S22 lineup week AI depth mapping, available S22 series devices. This feature allows identify objects arranged scene efficiently.Artificial Intelligence depth mapping present S22 devices softwarebased. Basically, uses AI algorithm reads metadata provided camera sensors real time determine far away objects scene positioned.This distance interpretation allows camera better identify objects sharper blurred portrait mode on, example.To idea, Samsung claims mapping accurate identify moving objects photo captured useful images children, animals, vehicles sports, example.This mapping efficient remember Galaxy S22 S22 Plus received new sensors 23 larger predecessors, allowing capture light Adaptive Pixel technology.In statement, Samsung says: Its easy perfect portrait shots new AI depth mapping, images look better ever, smallest details captured sharply thanks sophisticated AI algorithm. And function works favorite pet too: new Portrait Mode Galaxy S22S22 helps prevent pets fur blending background, best picture pet. Finally, interesting necessary activate depth mapping Galaxy S22 series, feature integrated activated cameras devices, start camera, point shoot.Updated Feb 16, 2022 9:54 Share Facebook Twitter Stumbleupon LinkedIn Pinterest About Raju Singh Raju exquisite taste. For him, video games entertainment likes discuss forms art.Previous 28 million Brazilians R8 billion receive banksNext Larissa feels threatened Pedro ScoobyRelated Articles Enjoy Redmi Note 11 Pro 5G 11 Pro purchased AliExpress19 mins ago Mad Max 2 production Avalanche Studios34 mins ago Smiles Magalu offer 20 miles real spent purchase Samsung Galaxy S2245 mins ago Check Also After all, rocket collide Moon belong SpaceX ObserverYou free access articles Observer subscriber. for: Recent Posts Larissa feels threatened Pedro Scooby Galaxy S22: understand Samsungs AI depth mapping works 28 million Brazilians R8 billion receive banks Proofs ome Tax sent 28th Enjoy Redmi Note 11 Pro 5G 11 Pro purchased AliExpress Categories Business Celebrity News Entertainment Featured Games Google Stadia Health News PC PC Games PS4 PUBG Social Sports Steam Switch Technology Xbox One 2022 Play Crazy Game,
| 2,022 |
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https://pledgetimes.com/chatgpt-is-available-again-in-italy/
| 2023-04-28T00:00:00 |
en
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ChatGpt is available again in Italy - Pledge Times
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ChatGpt is available again in Italy - Pledge Times
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ChatGpt is available again in Italy
by
admin_l6ma5gus
April 28, 2023
in
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ChatGpt will be back online today or tomorrow for Italian users. Il Sole 24 Ore writes it which reports an informed source of the facts, explaining that theagreement with the Privacy Guarantor it took place while OpenAI – the company that operates the chatbot – would have agreed to fulfill the requests for compliance with European privacy legislation. A first signal – recalls the newspaper’s website – arrived during the week when OpenAI granted all users worldwide the possibility of excluding their conversations from algorithm training.
Read also
But for the return to the Italian market OpenAI would have had to respond to very specific requests from the Italian Guarantor such as the presence in ChatGpt of useful tools to allow interested parties, even non-users, to request the rectification of personal data concerning them generated inaccurately by the service or the cancellation of the same, in case the rectification is not technically possible.
See also Syria: Repelling a missile attack targeting the vicinity of the capital, DamascusFurthermore, OpenAI will have to allow interested non-users to exercise, in a simple and accessible way, the right to object to the processing of their personal data used for the exercise of the algorithms and recognize a similar right to users, if they identify the legitimate interest such as legal basis of the treatment. OpenAi will have to run an advertising campaign so that everyone, even non-users, knows they can be excluded from the chatbot.
#ChatGpt #Italy
admin_l6ma5gus
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ChatGpt is available again in Italy
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ChatGpt available Italy Pledge Times Disclaimer Pledge Times T C Us Friday, April 28, 2023 Pledge Times World Business Gaming Tech Entertainment Science Lifestyle Health Sports World Business Gaming Tech Entertainment Science Lifestyle Health Sports No Result View All Result Pledge Times No Result View All Result Home World ChatGpt available Italy admin_l6ma5gus April 28, 2023 World 0 ChatGpt online today tomorrow Italian users. Il Sole 24 Ore writes reports informed source facts, explaining theagreement Privacy Guarantor took place OpenAI company operates chatbot agreed fulfill requests compliance European privacy legislation. A signal recalls newspapers website arrived week OpenAI granted users worldwide possibility excluding conversations algorithm training. Read But return Italian market OpenAI respond specific requests Italian Guarantor presence ChatGpt useful tools allow interested parties, nonusers, request rectification personal data concerning generated inaccurately service cancellation same, case rectification technically possible. See Syria: Repelling missile attack targeting vicinity capital, DamascusFurthermore, OpenAI allow interested nonusers exercise, simple accessible way, right object processing personal data exercise algorithms recognize similar right users, identify legitimate legal basis treatment. OpenAi run advertising campaign everyone, nonusers, knows excluded chatbot. ChatGpt Italy admin_l6ma5gus Related Posts A plane preparing evacuate Turkish citizens attacked Sudan admin_l6ma5gus April 28, 2023 0 Despite validity 72hour truce Sudanese army paramilitary Rapid Support Forces RSF the... Hamdan bin Mohammed: A new historical station reach space exploration project admin_l6ma5gus April 28, 2023 0 His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince Dubai, blessed wise leadership, people... Putin allowed supply oil friendly countries price ceiling admin_l6ma5gus April 28, 2023 0 The ban compliance price ceiling affect supplies friendly countries previously concluded agreements, the... The US Federal Reserve admits failures collapse Silicon Valley bank admin_l6ma5gus April 28, 2023 0 After failure Silicon Valley, strengthen Feds supervisory regulatory functions based have... Pictures.. A baby snatches bag Princess Wales admin_l6ma5gus April 28, 2023 0 LONDON Reuters A baby grabbed Britains Princess Kates handbag Friday brief moment greeted greeters... Sony sold record number PlayStation 5 admin_l6ma5gus April 28, 2023 0 The Verge: Sony ships 6.3 million PlayStation 5s market Q1 2023Sony reported 6.3 million units PlayStation 5... Next Post VIDEO: When Cristian Castro sang NARCOCORRIDOS ALTERED way Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended They refuse return passport Ildefonso Guajardo 9 months ago Reconstruction When Amin Younes freaks out, suddenly feels Henk Frasers hands neck 5 months ago Popular News Disclaimer Pledge Times T C Us Email us: [emailprotected] No Result View All Result World Business Science Entertainment Gaming Movie Music Sports Fashion Lifestyle Tech Health
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] | 1 | 197,004 |
https://pledgetimes.com/openai-warns-about-the-risks-of-its-new-model/
| 2023-03-15T00:00:00 |
en
|
OpenAI warns about the risks of its new model - Pledge Times
|
OpenAI warns about the risks of its new model - Pledge Times
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OpenAI warns about the risks of its new model
by
admin_l6ma5gus
March 15, 2023
in
Tech
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A technical report published by the Californian company OpenAI at the same time that it presented the GPT-4 version, recommended that caution should be exercised in the use of this generative artificial intelligence (AI) model and use “the exact protocol (such as the revision human, substantiating with additional context, or avoiding high-risk uses altogether) depending on the needs of each application.”
The document details that in various tests with experts in the field, “GPT-4 presents risks similar to smaller language models, such as the generation of harmful advice, code with errors or inaccurate information. However, the additional capabilities of the model lead to new areas of risk.”
Specialists in fields such as AI long-term alignment risks, cybersecurity, biorisk, and international security tested the model. “Their findings allowed us to test behavior in high-risk areas that require specialized assessment, as well as assess risks that will be relevant to very advanced AIs, such as the pursuit of power.”
See also They apply euthanasia to beluga that was found in the Seine riverThe report adds that the resulting recommendations and training data collected by these experts were incorporated into the model, “for example, we have collected additional data to improve GPT-4’s ability to reject requests on how to synthesize hazardous chemicals.”
The ChatGPT artificial intelligence interface is characterized by generating all types of texts on demand and its successor, GPT-4, reaches “a large-scale multimodal level that can accept image and text inputs and produce written outputs,” the company reported. .
OpenAI highlights that “it can be used in a wide range of applications, such as dialog systems, text summarization, and machine translation. As such, they have been the subject of much interest and progress in recent years.
In the past months, multiple specialized articles have been published that show the flaws in the GPT models in operation.
The text released by the developer states the capabilities of GPT-4 and devotes a good part of its length to explaining the way in which the risks and limitations of the interface were dealt with.
See also Seven killed in airstrike on Iranian convoy in SyriaAnalysis of the challenges
He adds that “the capabilities and limitations of GPT-4 create significant and novel security challenges, and we believe that careful study of these challenges is an important area of investigation given the potential social impact (…) Some of the risks we foresee they are about bias, misinformation, overconfidence, privacy, cybersecurity and proliferation.”
He maintains that in general, he is “unaware of the events that have occurred after the vast majority of his pre-training data was interrupted in September 2019, and he does not learn from his experience. He can sometimes make simple reasoning errors that don’t seem to match the competition in so many domains, or be overly gullible in accepting obviously false claims from a user.
“It can fail at difficult problems in the same way as humans, such as introducing security vulnerabilities into the code it produces. You can also safely be wrong in your predictions, without taking care to double-check your work when you are likely to be wrong.
See also SAT: Problems for cash deposits, only in these cases
#OpenAI #warns #risks #model
admin_l6ma5gus
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OpenAI warns risks new model Pledge Times Disclaimer Pledge Times T C Us Wednesday, March 15, 2023 Pledge Times World Business Gaming Tech Entertainment Science Lifestyle Health Sports World Business Gaming Tech Entertainment Science Lifestyle Health Sports No Result View All Result Pledge Times No Result View All Result Home Tech OpenAI warns risks new model admin_l6ma5gus March 15, 2023 Tech 0 A technical report published Californian company OpenAI time presented GPT4 version, recommended caution exercised use generative artificial intelligence AI model use exact protocol revision human, substantiating additional context, avoiding highrisk uses altogether depending needs application. The document details tests experts field, GPT4 presents risks similar smaller language models, generation harmful advice, code errors inaccurate information. However, additional capabilities model lead new areas risk. Specialists fields AI longterm alignment risks, cybersecurity, biorisk, international security tested model. Their findings allowed test behavior highrisk areas require specialized assessment, assess risks relevant advanced AIs, pursuit power. See They apply euthanasia beluga Seine riverThe report adds resulting recommendations training data collected experts incorporated model, example, collected additional data improve GPT4s ability reject requests synthesize hazardous chemicals. The ChatGPT artificial intelligence interface characterized generating types texts demand successor, GPT4, reaches largescale multimodal level accept image text inputs produce written outputs, company reported. . OpenAI highlights wide range applications, dialog systems, text summarization, machine translation. As such, subject progress recent years. In past months, multiple specialized articles published flaws GPT models operation. The text released developer states capabilities GPT4 devotes good length explaining way risks limitations interface dealt with. See Seven killed airstrike Iranian convoy SyriaAnalysis challenges He adds capabilities limitations GPT4 create significant novel security challenges, believe careful study challenges important area investigation given potential social impact Some risks foresee bias, misinformation, overconfidence, privacy, cybersecurity proliferation. He maintains general, unaware events occurred vast majority pretraining data interrupted September 2019, learn experience. He simple reasoning errors dont match competition domains, overly gullible accepting obviously false claims user. It fail difficult problems way humans, introducing security vulnerabilities code produces. You safely wrong predictions, taking care doublecheck work likely wrong. See SAT: Problems cash deposits, cases OpenAI warns risks model admin_l6ma5gus Related Posts Agustn Marchesin new reinforcement Cruz Azul? admin_l6ma5gus March 15, 2023 0 While Blue Cross season, going medium bad, apparently aspires to... Teufel Kombo 11: review admin_l6ma5gus March 15, 2023 0 Teufel Kombo 11 stereo Teufel cost 299.99although time review written... At Nike Puma stop kangaroo leather tennis production admin_l6ma5gus March 15, 2023 0 Nike Cougar stop kangaroo leather production sneakersafter demonstrations outside American company... Ball chip, capable detecting movements, revolutionized refereeing admin_l6ma5gus March 15, 2023 0 A technology discovered 20 years ago resurfaced World Cup Qatar protagonist new tool... How Siri, Alexa, Google Assistant Lost Artificial Intelligence Race admin_l6ma5gus March 15, 2023 0 San Francisco. On rainy Tuesday San Francisco, Apple executives took stage packed auditorium unveil... Veracruz: Woman dies heart attack funeral son grandson admin_l6ma5gus March 15, 2023 0 After deputy Alexis Sanchez murdered son 11yearold armed attack municipality... Next Post New law obtain biometric data national identity registry Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended GRAY announcement trailer PS5 Xbox Series XS 3 months ago Norway, man leaves home bow arrow makes carnage. 5 dead 1 year ago Popular News Disclaimer Pledge Times T C Us Email us: [emailprotected] No Result View All Result World Business Science Entertainment Gaming Movie Music Sports Fashion Lifestyle Tech Health
| 2,023 |
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Rubix Data Sciences Appointed Validation Agent for Legal Entity Identifier in India
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Mar 22, 2022
Business Wire IndiaRubix Data Sciences (Rubix), a technology and analytics-based B2B risk management and monitoring platform, has been appointed as a Validation Agent of the Legal Entity Identifier India Ltd. (LEIL) in India.
An agreement to this effect was signed between Rubix and Legal Entity Identifier Ltd. (LEIL) which has been accredited by the Global Legal Entity Identifier Foundation (GLEIF), headquartered in Switzerland, as a Local Operating Unit for issuance and management of Legal Entity Identifiers (LEIs). LEIL is a wholly owned subsidiary of the Clearing Corporation of India Ltd.
The LEI is a 20-character, alphanumeric code that uniquely identifies a legal entity or structure that is party to a financial transaction in any jurisdiction. The LEI connects to key reference information that enables clear and unique identification of legal entities participating in financial transactions. Each LEI contains information about an entity’s ownership structure and thus answers the questions of ‘who is who’ and ‘who owns whom’. The LEI data pool, known as the Global LEI Index, is publicly available on GLEIF’s website and can be regarded as a global directory that greatly enhances transparency in the global marketplace.
The LEI helps to build trust between businesses, financial institutions and organisations, regardless of sector, because it serves as an essential identifier which facilitates cross-border and domestic transactions. Small and medium-sized enterprises (SMEs) that obtain the LEI can stand out amongst peers in the marketplace. Various regulators – including Reserve Bank of India (RBI), Securities and Exchange Board of India (SEBI) and Insurance Regulatory and Development Authority of India (IRDAI) – already require entities to obtain a LEI for certain transactions.
As a Validation Agent, Rubix will be responsible for the following:
Maintaining procedures to verify the existence and eligibility of entities applying for LEI
Procuring relevant documents for timely issuance of LEI
Validating legal entity-reference data and parent data
Ensuring that clients apply for LEI renewal in a timely manner
Marketing of LEIs to prospective legal entities
Stephan Wolf, CEO, GLEIF comments, “The LEI has a vital role to play in creating greater trust and transparency for businesses around the world. India has already made progress in realizing this vision by supporting LEI adoption through regulatory means. The appointment of Rubix as the latest Validation Agent in the Global LEI System presents a significant opportunity to scale-up voluntary adoption of the LEI within a key global market and support more businesses in their efforts to securely engage in the global marketplace.”
Mohan Ramaswamy, Co-Founder and CEO of Rubix Data Sciences, said, “Rubix is privileged to be a Validation Agent, working with LEIL to issue LEIs to the market. The LEI provides global credibility and recognition for Indian businesses in international markets. Rubix shall endeavour to spread awareness about the importance of LEIs and assist business entities, particularly SMEs, to obtain the LEI smoothly.” Share this:TweetLike this:Like Loading...
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Rubix Data Sciences Appointed Validation Agent for Legal Entity Identifier in India
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Rubix Data Sciences Appointed Validation Agent Legal Entity Identifier India Press Release India Skip content Press Release India Press Release Distribution powered Business Wire India BWI Press Release India Press Release Distribution powered Business Wire India BWI Home Uncategorized Rubix Data Sciences Appointed Validation Agent Legal Entity Identifier India By Mar 22, 2022 Business Wire IndiaRubix Data Sciences Rubix, technology analyticsbased B2B risk management monitoring platform, appointed Validation Agent Legal Entity Identifier India Ltd. LEIL India. An agreement effect signed Rubix Legal Entity Identifier Ltd. LEIL accredited Global Legal Entity Identifier Foundation GLEIF, headquartered Switzerland, Local Operating Unit issuance management Legal Entity Identifiers LEIs. LEIL wholly owned subsidiary Clearing Corporation India Ltd. The LEI 20character, alphanumeric code uniquely identifies legal entity structure party financial transaction jurisdiction. The LEI connects key reference information enables clear unique identification legal entities participating financial transactions. Each LEI contains information entitys ownership structure answers questions ofwho whoandwho owns whom. The LEI data pool, known Global LEI Index, publicly available GLEIFs website regarded global directory greatly enhances transparency global marketplace. The LEI helps build trust businesses, financial institutions organisations, regardless sector, serves essential identifier facilitates crossborder domestic transactions. Small mediumsized enterprises SMEs obtain LEI stand peers marketplace. Various regulators including Reserve Bank India RBI, Securities Exchange Board India SEBI Insurance Regulatory Development Authority India IRDAI require entities obtain LEI certain transactions. As Validation Agent, Rubix responsible following: Maintaining procedures verify existence eligibility entities applying LEI Procuring relevant documents timely issuance LEI Validating legal entityreference data parent data Ensuring clients apply LEI renewal timely manner Marketing LEIs prospective legal entities Stephan Wolf, CEO, GLEIF comments, The LEI vital role play creating greater trust transparency businesses world. India progress realizing vision supporting LEI adoption regulatory means. The appointment Rubix latest Validation Agent Global LEI System presents significant opportunity scaleup voluntary adoption LEI key global market support businesses efforts securely engage global marketplace. Mohan Ramaswamy, CoFounder CEO Rubix Data Sciences, said, Rubix privileged Validation Agent, working LEIL issue LEIs market. The LEI provides global credibility recognition Indian businesses international markets. Rubix shall endeavour spread awareness importance LEIs assist business entities, particularly SMEs, obtain LEI smoothly. Share this:TweetLike this:Like Loading... Post navigation Kymeta Momentum Continues With Strong Financial Backing, reased Global Market Adoption, New u8 Product Names Unveiled MFine Brings Blood Pressure Glucose Monitoring Smartphones By Related Post Uncategorized Wear Your Colors This World Cup. FANBRUSH India Partners ICC 2023 Mens Cricket World Cup India dssenthil Sep 30, 2023 Uncategorized Stay Secured Personal Accident Covers Bajaj Markets dssenthil Sep 30, 2023 Uncategorized Panasonic Life Solutions India Introduces New Range Modular Switches Akina Regent dssenthil Sep 29, 2023 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. for: Archives September 2023 August 2023 July 2023 June 2023 May 2023 April 2023 March 2023 February 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April 2021 You Missed Uncategorized Wear Your Colors This World Cup. FANBRUSH India Partners ICC 2023 Mens Cricket World Cup India Uncategorized Stay Secured Personal Accident Covers Bajaj Markets Uncategorized Panasonic Life Solutions India Introduces New Range Modular Switches Akina Regent Uncategorized PUMAs WorldClass Ambassadors Celebrate 75 Years Sports History Press Release India Press Release Distribution powered Business Wire India BWI Blogus Themeansar. for: bloggers like this:
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https://primefeed.in/news/5295803/artificial-intelligence-in-energy-market-global-analysis-and-opportunity-assessment-2019-2024/
| 2020-10-17T00:00:00 |
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Artificial Intelligence in Energy Market : Global Analysis and Opportunity Assessment 2019-2024 – Owned
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Artificial Intelligence in Energy Market : Global Analysis and Opportunity Assessment 2019-2024 – Owned
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Artificial Intelligence in Energy Market : Global Analysis and Opportunity Assessment 2019-2024
Post author
By [email protected]
Post date
October 17, 2020
The global Artificial Intelligence in Energy market 2020 mainly focuses on the market trend, market share, size and forecast. It is a brief and professional analysis on the current scenario of the Global Artificial Intelligence in Energy market.
The report on Artificial Intelligence in Energy market is a comprehensive study on global market analysis and insights. The report focuses on the emerging trends in the global and regional spaces on all the significant components, such as market capacity, cost, price, demand and supply, production, profit, and competitive landscape. The report analyzes past trends and future prospects in this report which makes it highly comprehensible for the analysis of the market. Moreover, the latest trends, product portfolio, demographics, geographical segmentation, and regulatory framework of the Artificial Intelligence in Energy market have also been included in the study.
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What the Artificial Intelligence in Energy market research report basically consists of?
The report gives a look at the recent developments and their innovations in the global Artificial Intelligence in Energy
The report presents the basic overview of the industry which includes the definition, manufacturing along with its applications.
The report mainly comprises the recent marketing factors that are crucial to keep an eye on to analyze the market performance to fuel the profitability and productivity of the industry.
The report enhances its focus on the estimates of 2020-2026 market development trends of the Global Artificial Intelligence in Energy
Furthermore, an analysis of arduous raw materials, demand and production value has been laid out.
Market segmentation:
Research analysts have studied and analyzed the report on these 3 segments which cover the market share, revenues, growth rate along with the other factors that uplift the growth rate in Global Artificial Intelligence in Energy market. This study will lead in identifying the high growth areas as well as in identifying the growth factors which are helping in leading these segments.
Market segment by Type, the product can be split into Machine Learning Natural Language Processing Others
Market segment by Application, split into Load Research & Forecasting Transmission & Distribution
Based on regional and country-level analysis, the Artificial Intelligence in Energy market has been segmented as follows: North America United States Canada Europe Germany France U.K. Italy Russia Nordic Rest of Europe Asia-Pacific China Japan South Korea Southeast Asia India Australia Rest of Asia-Pacific Latin America Mexico Brazil Middle East & Africa Turkey Saudi Arabia UAE Rest of Middle East & Africa
Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.marketresearchhub.com/enquiry.php?type=E&repid=2792904&source=atm
This research is a comprehensive way to understand the current landscape of the market, especially in 2020. Both top-down and bottom-up approaches are employed to estimate the complete market size. This will help all the market stakeholders to have a better understanding of the direction in which the market will be headed and future forecast.
competitive analysis section of the report, leading as well as prominent players of the global Artificial Intelligence in Energy market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.The key players covered in this study ABB General Electric IBM Siemens Grid4C
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Reasons to purchase this report:
It provides market dynamics scenario along with growth opportunities in the forecast period.
It determines upcoming opportunities, threats and obstacles that can have an effect on the industry.
This report will help in making accurate and time bound business plans keeping in mind the economic shift.
To interpret the market competitive advantages of the industry as well as internal competitors.
To enhance the creation long term business plans.
Regional and country level analysis.
Segment wise market value and volume.
SWOT, PEST analysis along with the strategies adopted by major players.
Table of Content
1 Market Overview
1.1 Artificial Intelligence in Energy Introduction
1.2 Market Analysis by Type
1.2.1 Overview: Global Artificial Intelligence in Energy Revenue by Type: 2015 VS 2019 VS 2025
1.2.2 Coat/Jacket
1.2.3 Pants
1.2.4 Vest
1.3 Market Analysis by Application
1.3.1 Overview: Global Artificial Intelligence in Energy Revenue by Application: 2015 VS 2019 VS 2025
1.3.2 Indoor Firefighting
1.3.3 Wild Firefighting
1.3.4 Marine Firefighting
1.3.5 Others
1.4 Overview of Global Artificial Intelligence in Energy Market
1.4.1 Global Artificial Intelligence in Energy Market Status and Outlook (2015-2025)
1.4.2 North America (United States, Canada and Mexico)
1.4.3 Europe (Germany, France, United Kingdom, Russia and Italy)
1.4.4 Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
1.4.5 South America, Middle East & Africa
1.5 Market Dynamics
1.5.1 Market Opportunities
1.5.2 Market Risk
1.5.3 Market Driving Force
2 Manufacturers Profiles
3.3 Market Concentration Rate
3.3.1 Top 3 Artificial Intelligence in Energy Manufacturer Market Share in 2019
3.3.2 Top 6 Artificial Intelligence in Energy Manufacturer Market Share in 2019
3.4 Market Competition Trend
4 Global Market Analysis by Regions
4.1 Global Artificial Intelligence in Energy Sales, Revenue and Market Share by Regions
4.1.1 Global Artificial Intelligence in Energy Sales and Market Share by Regions (2015-2020)
4.1.2 Global Artificial Intelligence in Energy Revenue and Market Share by Regions (2015-2020)
4.2 North America Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
4.3 Europe Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
4.4 Asia-Pacific Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
4.5 South America Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
4.6 Middle East and Africa Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
5 North America by Country
5.1 North America Artificial Intelligence in Energy Sales, Revenue and Market Share by Country
5.1.1 North America Artificial Intelligence in Energy Sales and Market Share by Country (2015-2020)
5.1.2 North America Artificial Intelligence in Energy Revenue and Market Share by Country (2015-2020)
5.2 United States Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
5.3 Canada Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
5.4 Mexico Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
6 Europe by Country
6.1 Europe Artificial Intelligence in Energy Sales, Revenue and Market Share by Country
6.1.1 Europe Artificial Intelligence in Energy Sales and Market Share by Country (2015-2020)
6.1.2 Europe Artificial Intelligence in Energy Revenue and Market Share by Country (2015-2020)
6.2 Germany Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
6.3 UK Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
6.4 France Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
6.5 Russia Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
6.6 Italy Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7 Asia-Pacific by Regions
7.1 Asia-Pacific Artificial Intelligence in Energy Sales, Revenue and Market Share by Regions
7.1.1 Asia-Pacific Artificial Intelligence in Energy Sales and Market Share by Regions (2015-2020)
7.1.2 Asia-Pacific Artificial Intelligence in Energy Revenue and Market Share by Regions (2015-2020)
7.2 China Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7.3 Japan Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7.4 Korea Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7.5 India Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7.6 Southeast Asia Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
7.7 Australia Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
8 South America by Country
8.1 South America Artificial Intelligence in Energy Sales, Revenue and Market Share by Country
8.1.1 South America Artificial Intelligence in Energy Sales and Market Share by Country (2015-2020)
8.1.2 South America Artificial Intelligence in Energy Revenue and Market Share by Country (2015-2020)
8.2 Brazil Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
8.3 Argentina Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
9 Middle East & Africa by Countries
9.1 Middle East & Africa Artificial Intelligence in Energy Sales, Revenue and Market Share by Country
9.1.1 Middle East & Africa Artificial Intelligence in Energy Sales and Market Share by Country (2015-2020)
9.1.2 Middle East & Africa Artificial Intelligence in Energy Revenue and Market Share by Country (2015-2020)
9.2 Saudi Arabia Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
9.3 Turkey Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
9.4 Egypt Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
9.5 South Africa Artificial Intelligence in Energy Sales and Growth Rate (2015-2020)
10 Market Segment by Type
10.1 Global Artificial Intelligence in Energy Sales and Market Share by Type (2015-2020)
10.2 Global Artificial Intelligence in Energy Revenue and Market Share by Type (2015-2020)
10.3 Global Artificial Intelligence in Energy Price by Type (2015-2020)
11 Global Artificial Intelligence in Energy Market Segment by Application
11.1 Global Artificial Intelligence in Energy Sales Market Share by Application (2015-2020)
11.2 Global Artificial Intelligence in Energy Revenue Market Share by Application (2015-2020)
11.3 Global Artificial Intelligence in Energy Price by Application (2015-2020)
12 Market Forecast
12.1 Global Artificial Intelligence in Energy Sales, Revenue and Growth Rate (2021-2025)
12.2 Artificial Intelligence in Energy Market Forecast by Regions (2021-2025)
12.2.1 North America Artificial Intelligence in Energy Market Forecast (2021-2025)
12.2.2 Europe Artificial Intelligence in Energy Market Forecast (2021-2025)
12.2.3 Asia-Pacific Artificial Intelligence in Energy Market Forecast (2021-2025)
12.2.4 South America Artificial Intelligence in Energy Market Forecast (2021-2025)
12.2.5 Middle East & Africa Artificial Intelligence in Energy Market Forecast (2021-2025)
12.3 Artificial Intelligence in Energy Market Forecast by Type (2021-2025)
12.3.1 Global Artificial Intelligence in Energy Sales Forecast by Type (2021-2025)
12.3.2 Global Artificial Intelligence in Energy Market Share Forecast by Type (2021-2025)
12.4 Artificial Intelligence in Energy Market Forecast by Application (2021-2025)
12.4.1 Global Artificial Intelligence in Energy Sales Forecast by Application (2021-2025)
12.4.2 Global Artificial Intelligence in Energy Market Share Forecast by Application (2021-2025)
13 Sales Channel, Distributors, Traders and Dealers
13.1 Sales Channel
13.1.1 Direct Marketing
13.1.2 Indirect Marketing
13.2 Distributors, Traders and Dealers
14 Research Findings and Conclusion
15 Appendix
15.1 Methodology
15.2 Data Source
15.3 Disclaimer
15.4 About US
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Artificial Intelligence in Energy Market : Global Analysis and Opportunity Assessment 2019-2024
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Artificial Intelligence Energy Market : Global Analysis Opportunity Assessment 20192024 Owned Skip content OwnedMarket Reports Analytics Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study for: Close search Close Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study Categories News Artificial Intelligence Energy Market : Global Analysis Opportunity Assessment 20192024 Post author By [emailprotected] Post date October 17, 2020 The global Artificial Intelligence Energy market 2020 mainly focuses market trend, market share, size forecast. It brief professional analysis current scenario Global Artificial Intelligence Energy market. The report Artificial Intelligence Energy market comprehensive study global market analysis insights. The report focuses emerging trends global regional spaces significant components, market capacity, cost, price, demand supply, production, profit, competitive landscape. The report analyzes past trends future prospects report makes highly comprehensible analysis market. Moreover, latest trends, product portfolio, demographics, geographical segmentation, regulatory framework Artificial Intelligence Energy market included study. Get PDF Sample Copy Report understand structure complete report: luding Full TOC, List Tables Figures, Chart @ What Artificial Intelligence Energy market research report basically consists of? The report gives look recent developments innovations global Artificial Intelligence Energy The report presents basic overview industry includes definition, manufacturing applications. The report mainly comprises recent marketing factors crucial eye analyze market performance fuel profitability productivity industry. The report enhances focus estimates 20202026 market development trends Global Artificial Intelligence Energy Furthermore, analysis arduous raw materials, demand production value laid out. Market segmentation: Research analysts studied analyzed report 3 segments cover market share, revenues, growth rate factors uplift growth rate Global Artificial Intelligence Energy market. This study lead identifying high growth areas identifying growth factors helping leading segments. Market segment Type, product split Machine Learning Natural Language Processing Others Market segment Application, split Load Research Forecasting Transmission Distribution Based regional countrylevel analysis, Artificial Intelligence Energy market segmented follows: North America United States Canada Europe Germany France U.K. Italy Russia Nordic Rest Europe AsiaPacific China Japan South Korea Southeast Asia India Australia Rest AsiaPacific Latin America Mexico Brazil Middle East Africa Turkey Saudi Arabia UAE Rest Middle East Africa Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] This research comprehensive way understand current landscape market, especially 2020. Both topdown bottomup approaches employed estimate complete market size. This help market stakeholders better understanding direction market headed future forecast. competitive analysis section report, leading prominent players global Artificial Intelligence Energy market broadly studied basis key factors. The report offers comprehensive analysis accurate statistics revenue player period 20152020. It offers detailed analysis supported reliable statistics price revenue global level player period 20152020.The key players covered study ABB General Electric IBM Siemens Grid4C You Buy This Report Here @ Reasons purchase report: It provides market dynamics scenario growth opportunities forecast period. It determines upcoming opportunities, threats obstacles effect industry. This report help making accurate time bound business plans keeping mind economic shift. To interpret market competitive advantages industry internal competitors. To enhance creation long term business plans. Regional country level analysis. Segment wise market value volume. SWOT, PEST analysis strategies adopted major players. Table Content 1 Market Overview 1.1 Artificial Intelligence Energy Introduction 1.2 Market Analysis Type 1.2.1 Overview: Global Artificial Intelligence Energy Revenue Type: 2015 VS 2019 VS 2025 1.2.2 CoatJacket 1.2.3 Pants 1.2.4 Vest 1.3 Market Analysis Application 1.3.1 Overview: Global Artificial Intelligence Energy Revenue Application: 2015 VS 2019 VS 2025 1.3.2 Indoor Firefighting 1.3.3 Wild Firefighting 1.3.4 Marine Firefighting 1.3.5 Others 1.4 Overview Global Artificial Intelligence Energy Market 1.4.1 Global Artificial Intelligence Energy Market Status Outlook 20152025 1.4.2 North America United States, Canada Mexico 1.4.3 Europe Germany, France, United Kingdom, Russia Italy 1.4.4 AsiaPacific China, Japan, Korea, India Southeast Asia 1.4.5 South America, Middle East Africa 1.5 Market Dynamics 1.5.1 Market Opportunities 1.5.2 Market Risk 1.5.3 Market Driving Force 2 Manufacturers Profiles 3.3 Market Concentration Rate 3.3.1 Top 3 Artificial Intelligence Energy Manufacturer Market Share 2019 3.3.2 Top 6 Artificial Intelligence Energy Manufacturer Market Share 2019 3.4 Market Competition Trend 4 Global Market Analysis Regions 4.1 Global Artificial Intelligence Energy Sales, Revenue Market Share Regions 4.1.1 Global Artificial Intelligence Energy Sales Market Share Regions 20152020 4.1.2 Global Artificial Intelligence Energy Revenue Market Share Regions 20152020 4.2 North America Artificial Intelligence Energy Sales Growth Rate 20152020 4.3 Europe Artificial Intelligence Energy Sales Growth Rate 20152020 4.4 AsiaPacific Artificial Intelligence Energy Sales Growth Rate 20152020 4.5 South America Artificial Intelligence Energy Sales Growth Rate 20152020 4.6 Middle East Africa Artificial Intelligence Energy Sales Growth Rate 20152020 5 North America Country 5.1 North America Artificial Intelligence Energy Sales, Revenue Market Share Country 5.1.1 North America Artificial Intelligence Energy Sales Market Share Country 20152020 5.1.2 North America Artificial Intelligence Energy Revenue Market Share Country 20152020 5.2 United States Artificial Intelligence Energy Sales Growth Rate 20152020 5.3 Canada Artificial Intelligence Energy Sales Growth Rate 20152020 5.4 Mexico Artificial Intelligence Energy Sales Growth Rate 20152020 6 Europe Country 6.1 Europe Artificial Intelligence Energy Sales, Revenue Market Share Country 6.1.1 Europe Artificial Intelligence Energy Sales Market Share Country 20152020 6.1.2 Europe Artificial Intelligence Energy Revenue Market Share Country 20152020 6.2 Germany Artificial Intelligence Energy Sales Growth Rate 20152020 6.3 UK Artificial Intelligence Energy Sales Growth Rate 20152020 6.4 France Artificial Intelligence Energy Sales Growth Rate 20152020 6.5 Russia Artificial Intelligence Energy Sales Growth Rate 20152020 6.6 Italy Artificial Intelligence Energy Sales Growth Rate 20152020 7 AsiaPacific Regions 7.1 AsiaPacific Artificial Intelligence Energy Sales, Revenue Market Share Regions 7.1.1 AsiaPacific Artificial Intelligence Energy Sales Market Share Regions 20152020 7.1.2 AsiaPacific Artificial Intelligence Energy Revenue Market Share Regions 20152020 7.2 China Artificial Intelligence Energy Sales Growth Rate 20152020 7.3 Japan Artificial Intelligence Energy Sales Growth Rate 20152020 7.4 Korea Artificial Intelligence Energy Sales Growth Rate 20152020 7.5 India Artificial Intelligence Energy Sales Growth Rate 20152020 7.6 Southeast Asia Artificial Intelligence Energy Sales Growth Rate 20152020 7.7 Australia Artificial Intelligence Energy Sales Growth Rate 20152020 8 South America Country 8.1 South America Artificial Intelligence Energy Sales, Revenue Market Share Country 8.1.1 South America Artificial Intelligence Energy Sales Market Share Country 20152020 8.1.2 South America Artificial Intelligence Energy Revenue Market Share Country 20152020 8.2 Brazil Artificial Intelligence Energy Sales Growth Rate 20152020 8.3 Argentina Artificial Intelligence Energy Sales Growth Rate 20152020 9 Middle East Africa Countries 9.1 Middle East Africa Artificial Intelligence Energy Sales, Revenue Market Share Country 9.1.1 Middle East Africa Artificial Intelligence Energy Sales Market Share Country 20152020 9.1.2 Middle East Africa Artificial Intelligence Energy Revenue Market Share Country 20152020 9.2 Saudi Arabia Artificial Intelligence Energy Sales Growth Rate 20152020 9.3 Turkey Artificial Intelligence Energy Sales Growth Rate 20152020 9.4 Egypt Artificial Intelligence Energy Sales Growth Rate 20152020 9.5 South Africa Artificial Intelligence Energy Sales Growth Rate 20152020 10 Market Segment Type 10.1 Global Artificial Intelligence Energy Sales Market Share Type 20152020 10.2 Global Artificial Intelligence Energy Revenue Market Share Type 20152020 10.3 Global Artificial Intelligence Energy Price Type 20152020 11 Global Artificial Intelligence Energy Market Segment Application 11.1 Global Artificial Intelligence Energy Sales Market Share Application 20152020 11.2 Global Artificial Intelligence Energy Revenue Market Share Application 20152020 11.3 Global Artificial Intelligence Energy Price Application 20152020 12 Market Forecast 12.1 Global Artificial Intelligence Energy Sales, Revenue Growth Rate 20212025 12.2 Artificial Intelligence Energy Market Forecast Regions 20212025 12.2.1 North America Artificial Intelligence Energy Market Forecast 20212025 12.2.2 Europe Artificial Intelligence Energy Market Forecast 20212025 12.2.3 AsiaPacific Artificial Intelligence Energy Market Forecast 20212025 12.2.4 South America Artificial Intelligence Energy Market Forecast 20212025 12.2.5 Middle East Africa Artificial Intelligence Energy Market Forecast 20212025 12.3 Artificial Intelligence Energy Market Forecast Type 20212025 12.3.1 Global Artificial Intelligence Energy Sales Forecast Type 20212025 12.3.2 Global Artificial Intelligence Energy Market Share Forecast Type 20212025 12.4 Artificial Intelligence Energy Market Forecast Application 20212025 12.4.1 Global Artificial Intelligence Energy Sales Forecast Application 20212025 12.4.2 Global Artificial Intelligence Energy Market Share Forecast Application 20212025 13 Sales Channel, Distributors, Traders Dealers 13.1 Sales Channel 13.1.1 Direct Marketing 13.1.2 Indirect Marketing 13.2 Distributors, Traders Dealers 14 Research Findings Conclusion 15 Appendix 15.1 Methodology 15.2 Data Source 15.3 Disclaimer 15.4 About US Us: marketresearchhub Tel: 15186212074 USACanada Toll Free: 8669974948 Email: [emailprotected] About marketresearchhub marketresearchhub stop online destination buy market research reports Industry Analysis. We fulfil research needs spanning industry verticals huge collection market research reports. We provide services sizes organisations industry verticals markets. Our Research Coordinators indepth knowledge reports publishers assist making informed decision giving unbiased deep insights reports satisfy needs best price. Tags After Covid19 Artificial Intelligence Energy Market Opportunity, APAC Artificial Intelligence Energy Market Trend, China Artificial Intelligence Energy Market ShareCOVID19 Impact On Arti One Component Foam Market Forecast Research Reports Offers Key Insights 2017 2026 Twowheeler Lighting Market receive overwhelming hike Revenues 2017 2022 for: Recent Posts Future Japan Zinc Telluride Market Analyzed New Study United States Vegetable Protein Drinks Discern Magnified Growth During 20192025 Ready To Use China Prepared Mixes Market Global Industry Analysis, size, share Forecast 20192020 Battery Energy Storage Market Trends Analysis Research Report 20192025 Security Product Integration Services Market Witness Growth Acceleration During 2018 2028 2020 Owned Powered WordPress To Up
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| 2020-11-03T00:00:00 |
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Global Machine Learning Software Market 2026 The leading Industry Players : Microsoft, Google, TensorFlow, Kount, Warwick Analytics etc. – PRnews Leader
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Global Machine Learning Software Market 2026 The leading Industry Players : Microsoft, Google, TensorFlow, Kount, Warwick Analytics etc.
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By anita
Post date
November 3, 2020
This versatile composition of research derivatives pertaining to diverse concurrent developments in the global Machine Learning Software market is poised to induce forward-looking perspectives favoring unfaltering growth stance.
A newly compiled research report presentation on global Machine Learning Software market is aimed to unfurl veritable details about growth prognosis that are effectively harnessed by prominent market drivers and growth influencers.
The report also sheds light on various growth deterrents and retardants to offer a decisive understanding on barrier analysis to optimally identify growth retardants that stun growth in global Machine Learning Software market. In further report highlights, readers are equipped with thorough understanding on barrier identification and threat evaluation
Vendor Profiling: Global Market_Keywor Market, 2020-26:
Microsoft
Google
TensorFlow
Kount
Warwick Analytics
Valohai
Torch
Apache SINGA
AWS
BigML
Figure Eight
Floyd Labs
DROT Analysis Driver Assessment: This section of the report also clearly identifies the major growth enablement triggers and drivers that push the growth trajectory.
Understanding Growth Retardants: This report further entails crucial details on notable growth hindering aspects that significantly arrest smooth growth ride. Besides identifying major growth retardants, the report proceeds further with assessing catastrophic developments.
Understanding Opportunities: The report proceeds further with unraveling details on dominant as well as latent opportunities that ensure growth spurt through the growth span. This section of the report also includes veritable details on various M&A developments, commercial collaborations as well as segment wise advances that collectively direct optimistic growth.
We Have Recent Updates of Machine Learning Software Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4227836?utm_source=PM
Favoring utmost reader comprehension about the Machine Learning Software market to ensure lucrative business returns, this mindful report is designed to include a dedicated chapter on pre and post COVID analysis to encourage steady recovery from the pandemic, affecting production and consumption facets critically.
Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
On-Premises
Cloud Based
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Machine Learning Software market mediates for superlative end-user benefits.
Large Enterprised
SMEs
Browse Full Report with Facts and Figures of Machine Learning Software Market Report at @ https://www.orbisresearch.com/reports/index/global-machine-learning-software-market-size-status-and-forecast-2020-2026?utm_source=PM
Understanding Competition Spectrum: Global Machine Learning Software Market
In addition to the above, this dedicated research report representing the current and historical developments in the global Machine Learning Software market have been prioritized exponentially in report contents to ensure seamless growth oriented business discretion amongst frontline players
The report is as well designed to suit investment priorities of emerging market participants keen at sustaining indispensable market position amidst glaring odds and market challenges, inclusive of escalating competition.
This section of the report clearly demarcates the key market participants and contributors along with key manufacturers putting in dedicated efforts towards pandemic management.
Despite the temporary dip in growth prognosis owing the pandemic crisis, market participants in global Machine Learning Software market are scouting for accurate business strategies to emerge and offset critical growth deterrents in global Machine Learning Software market.
Brief on their company positioning, product and service status as well as likelihood of future investments as well as thorough objective analysis of the companies have been showcased in the report.
This highly classified information has been obtained post tremendous primary research practices undertaken by our inhouse research teams.
– North America (U.S., Canada, Mexico)– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)– Latin America (Brazil, Rest of L.A.)– Middle East and Africa (Turkey, GCC, Rest of Middle East)
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/4227836?utm_source=PM
The report offers a clear and accessible estimation of the global Machine Learning Software market that are presented as value based and volume based estimations. The report is mindfully structured to present all market relevant information which are designed and presented in the form of graphs, charts and tables to allow market players quickly decipher the peculiarities to invoke mindful business decisions
Global Machine Learning Software Market: Understanding Scope• In-depth research and thorough evaluation of the various contributing factors reveal that the global Machine Learning Software market is estimated to perform decently in forthcoming years, reaching a total valuation of xx million USD in 2020, and is further poised to register xx million USD in 2026, growing at a healthy CAGR of xx%.• This elaborate research report also houses extensive information of various market specific segments, elaborating further on segment categorization comprising type, application as well as end-user sections which successively influence lucrative business discretion.
The report also entails a dedicated section and chapter to offer market relevant highlights denoting consumption and production activities. The report also entails sectional representation of thorough barrier evaluation and threat probabilities. The report clearly highlights the details of vendor activities and promotional investments, crucial to ensure high return on investments.
About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
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Global Machine Learning Software Market 2026 The leading Industry Players : Microsoft, Google, TensorFlow, Kount, Warwick Analytics etc. PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories Coronavirus Global Machine Learning Software Market 2026 The leading Industry Players : Microsoft, Google, TensorFlow, Kount, Warwick Analytics etc. Post author By anita Post date November 3, 2020 This versatile composition research derivatives pertaining diverse concurrent developments global Machine Learning Software market poised induce forwardlooking perspectives favoring unfaltering growth stance. A newly compiled research report presentation global Machine Learning Software market aimed unfurl veritable details growth prognosis effectively harnessed prominent market drivers growth influencers. The report sheds light growth deterrents retardants offer decisive understanding barrier analysis optimally identify growth retardants stun growth global Machine Learning Software market. In report highlights, readers equipped thorough understanding barrier identification threat evaluation Vendor Profiling: Global Market_Keywor Market, 202026: Microsoft Google TensorFlow Kount Warwick Analytics Valohai Torch Apache SINGA AWS BigML Figure Eight Floyd Labs DROT Analysis Driver Assessment: This section report clearly identifies major growth enablement triggers drivers push growth trajectory. Understanding Growth Retardants: This report entails crucial details notable growth hindering aspects significantly arrest smooth growth ride. Besides identifying major growth retardants, report proceeds assessing catastrophic developments. Understanding Opportunities: The report proceeds unraveling details dominant latent opportunities ensure growth spurt growth span. This section report includes veritable details MA developments, commercial collaborations segment wise advances collectively direct optimistic growth. We Have Recent Updates Machine Learning Software Market Sample [emailprotected] Favoring utmost reader comprehension Machine Learning Software market ensure lucrative business returns, mindful report designed include dedicated chapter pre post COVID analysis encourage steady recovery pandemic, affecting production consumption facets critically. Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. OnPremises Cloud Based Analysis Application: Further subsequent sections report, research analysts rendered precise judgement applications Machine Learning Software market mediates superlative enduser benefits. Large Enterprised SMEs Browse Full Report Facts Figures Machine Learning Software Market Report @ Understanding Competition Spectrum: Global Machine Learning Software Market In addition above, dedicated research report representing current historical developments global Machine Learning Software market prioritized exponentially report contents ensure seamless growth oriented business discretion frontline players The report designed suit investment priorities emerging market participants keen sustaining indispensable market position amidst glaring odds market challenges, inclusive escalating competition. This section report clearly demarcates key market participants contributors key manufacturers putting dedicated efforts pandemic management. Despite temporary dip growth prognosis owing pandemic crisis, market participants global Machine Learning Software market scouting accurate business strategies emerge offset critical growth deterrents global Machine Learning Software market. Brief company positioning, product service status likelihood future investments thorough objective analysis companies showcased report. This highly classified information obtained post tremendous primary research practices undertaken inhouse research teams. North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] The report offers clear accessible estimation global Machine Learning Software market presented value based volume based estimations. The report mindfully structured present market relevant information designed presented form graphs, charts tables allow market players quickly decipher peculiarities invoke mindful business decisions Global Machine Learning Software Market: Understanding Scope Indepth research thorough evaluation contributing factors reveal global Machine Learning Software market estimated perform decently forthcoming years, reaching total valuation xx million USD 2020, poised register xx million USD 2026, growing healthy CAGR xx. This elaborate research report houses extensive information market specific segments, elaborating segment categorization comprising type, application enduser sections successively influence lucrative business discretion. The report entails dedicated section chapter offer market relevant highlights denoting consumption production activities. The report entails sectional representation thorough barrier evaluation threat probabilities. The report clearly highlights details vendor activities promotional investments, crucial ensure high return investments. :Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us:Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 IsotopeLabeled Excipient Market Size, Trends, Global Growth, Insights And Forecast Research Report 2026 Molecular Isotope Technologies, Cambridge Isotope Laboratories, CIL Isotope Separations, Membrane Receptor Technologies for: Recent Posts Global Machine Learning Software Market 2026 The leading Industry Players : Microsoft, Google, TensorFlow, Kount, Warwick Analytics etc. IsotopeLabeled Excipient Market Size, Trends, Global Growth, Insights And Forecast Research Report 2026 Molecular Isotope Technologies, Cambridge Isotope Laboratories, CIL Isotope Separations, Membrane Receptor Technologies Global Insight Service Market 2020 Analysis Top Key players Accenture, IBM, Dell, NTT Data Corporation, Capgemini, GoodData Corporation, Oracle, , Global Machine Vision Software Market 2026 The leading Industry Players : COGNEX, Adaptive Vision, Omron Microscan Systems, STEMMER IMAGING, Opto Engineering etc. Silicon Nitride Heaters Market Size, Regional Outlook, Growth Potential, Price Trends And Forecast To 2026 3M, KYOCERA, INNOVACERA, Sialon Ceramics Archives November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log Entries feed Comments feed 2020 PRnews Leader Powered WordPress To Up
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https://prnewsleader.com/uncategorized/1544133/data-science-and-machine-learning-service-market-2020-business-outlook-by-growth-projection-and-company-profiles-international-business-machine-fico-att-hewlett-packard-enterprise-developmen/
| 2020-11-04T00:00:00 |
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Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – PRnews Leader
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Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – PRnews Leader
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Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google
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By anita_adroit
Post date
November 4, 2020
“
The research study Global Data Science and Machine Learning Service Industry 2020 offers strategic assessment of the market. The industry report focuses on the growth opportunities, which will help the Global Data Science and Machine Learning Service market to expand operations in the existing markets. The report covers major manufacturers analysis with company profile, product picture and specifications, sales volume, revenue, price and Data Science and Machine Learning Service gross margin and contact information. This extensive research report focusing on global Data Science and Machine Learning Service market compiled and presented by Orbis Research portrays a detailed analytical assessment of notable trends, future specific market growth opportunities, end-user profile as well as challenge overview of the current Data Science and Machine Learning Service market scenario has also been encapsulated in the report. The primary focus of the report is to highlight and understand multiple market developments across the global Data Science and Machine Learning Service market ecosystem that influence logical reader discretion.
For a Sample Copy Click Here: https://www.orbisresearch.com/contacts/request-sample/4640291
Top players of global Data Science and Machine Learning Service market are:
International Business Machine
Fico
At&T
Hewlett-Packard Enterprise Development
Microsoft
ZS
Amazon Web Services
Bigml
Mango Solutions
LatentView Analytics
DataScience.com
Google
Further in the Data Science and Machine Learning Service report articulation by Orbis Research, readers are also equipped with considerable understanding on overall geographical expanse, highlighting market growth hotspots, also shedding visible light on competent market participants complete with their Data Science and Machine Learning Service market positioning, company status, product and service highlights as well. The study assess new product and service positioning strategies in the world Data Science and Machine Learning Service market. Furthermore, the new and evolving technologies and their impact on the Data Science and Machine Learning Service market is analyzed in detail in this report.
Distinst types of Data Science and Machine Learning Service industry includes
Consulting
Management Solution
Miscellaneous applications of Data Science and Machine Learning Service market incorporates
Banking
Insurance
Retail
Media and Entertainment
After that, Data Science and Machine Learning Service industry development policies as well as plans are discussed and manufacturing processes as well as cost structures for Data Science and Machine Learning Service market. This report “Worldwide Data Science and Machine Learning Service Market” also states import/export, supply and consumption figures and Data Science and Machine Learning Service market cost, price, revenue and Data Science and Machine Learning Service market’s gross margin by regions. Other regions can be added in Data Science and Machine Learning Service Market area.
Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4640291
Additionally, the leading players in the world Data Science and Machine Learning Service industry have been profiled in this report. The key Data Science and Machine Learning Service market players with their business overview, marketing strategies, strategic alliances and acquisitions are included in this Data Science and Machine Learning Service market report. The report (Worldwide Data Science and Machine Learning Service Market) features significant industry insights, Data Science and Machine Learning Service market expectations, and key developments, which will help firms operating in the Data Science and Machine Learning Service market to make informed business decisions.
In addition, detailed business overview, Data Science and Machine Learning Service market revenue analysis, strategies, and SWOT analysis of the key players has been included in the report. Players in the Global Data Science and Machine Learning Service market are aiming to expand their operations to emerging regions. Further, companies in the Data Science and Machine Learning Service market are focusing on innovation and positioning their products at competitive prices. An in-depth Data Science and Machine Learning Service supply chain analysis in the report will give readers a better understanding of the Data Science and Machine Learning Service market.
The report also delivers a detailed segment-based assessment of the Global Data Science and Machine Learning Service market. The segments together with their sub-segments have been analyzed in this report. Furthermore, the Data Science and Machine Learning Service report evaluates the trends that will help to fuel the growth of the individual sectors. The key segments coupled with with their Data Science and Machine Learning Service market forecasts both in terms of revenue and volume have been covered in the Data Science and Machine Learning Service market research study. The worldwide Data Science and Machine Learning Service industry report also talks about the emerging geographical sectors in Data Science and Machine Learning Service market and the trends that will drive the industry across these regional segments.
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Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
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Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles
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Data Science Machine Learning Service Market 2020 Business Outlook By Growth Projection Company Profiles International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Coronavirus News Data Science Machine Learning Service Market 2020 Business Outlook By Growth Projection Company Profiles International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google Post author By anita_adroit Post date November 4, 2020 The research study Global Data Science Machine Learning Service Industry 2020 offers strategic assessment market. The industry report focuses growth opportunities, help Global Data Science Machine Learning Service market expand operations existing markets. The report covers major manufacturers analysis company profile, product picture specifications, sales volume, revenue, price Data Science Machine Learning Service gross margin contact information. This extensive research report focusing global Data Science Machine Learning Service market compiled presented Orbis Research portrays detailed analytical assessment notable trends, future specific market growth opportunities, enduser profile challenge overview current Data Science Machine Learning Service market scenario encapsulated report. The primary focus report highlight understand multiple market developments global Data Science Machine Learning Service market ecosystem influence logical reader discretion. For Sample Copy Click Here: Top players global Data Science Machine Learning Service market are: International Business Machine Fico AtT HewlettPackard Enterprise Development Microsoft ZS Amazon Web Services Bigml Mango Solutions LatentView Analytics Google Further Data Science Machine Learning Service report articulation Orbis Research, readers equipped considerable understanding overall geographical expanse, highlighting market growth hotspots, shedding visible light competent market participants complete Data Science Machine Learning Service market positioning, company status, product service highlights well. The study assess new product service positioning strategies world Data Science Machine Learning Service market. Furthermore, new evolving technologies impact Data Science Machine Learning Service market analyzed report. Distinst types Data Science Machine Learning Service industry includes Consulting Management Solution Miscellaneous applications Data Science Machine Learning Service market incorporates Banking Insurance Retail Media Entertainment After that, Data Science Machine Learning Service industry development policies plans discussed manufacturing processes cost structures Data Science Machine Learning Service market. This report Worldwide Data Science Machine Learning Service Market states importexport, supply consumption figures Data Science Machine Learning Service market cost, price, revenue Data Science Machine Learning Service markets gross margin regions. Other regions added Data Science Machine Learning Service Market area. Ask Expert You Have Query at: Additionally, leading players world Data Science Machine Learning Service industry profiled report. The key Data Science Machine Learning Service market players business overview, marketing strategies, strategic alliances acquisitions included Data Science Machine Learning Service market report. The report Worldwide Data Science Machine Learning Service Market features significant industry insights, Data Science Machine Learning Service market expectations, key developments, help firms operating Data Science Machine Learning Service market informed business decisions. In addition, detailed business overview, Data Science Machine Learning Service market revenue analysis, strategies, SWOT analysis key players included report. Players Global Data Science Machine Learning Service market aiming expand operations emerging regions. Further, companies Data Science Machine Learning Service market focusing innovation positioning products competitive prices. An indepth Data Science Machine Learning Service supply chain analysis report readers better understanding Data Science Machine Learning Service market. The report delivers detailed segmentbased assessment Global Data Science Machine Learning Service market. The segments subsegments analyzed report. Furthermore, Data Science Machine Learning Service report evaluates trends help fuel growth individual sectors. The key segments coupled Data Science Machine Learning Service market forecasts terms revenue volume covered Data Science Machine Learning Service market research study. The worldwide Data Science Machine Learning Service industry report talks emerging geographical sectors Data Science Machine Learning Service market trends drive industry regional segments. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. 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Artificial Intelligence in Manufacturing and Supply Chain Market 2020: Potential Growth, Challenges, and Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19 | Key Players: IBM, Microsoft, Oracle, Google, SAS, etc. | InForGrowth – PRnews Leader
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Artificial Intelligence in Manufacturing and Supply Chain Market 2020: Potential Growth, Challenges, and Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19 | Key Players: IBM, Microsoft, Oracle, Google, SAS, etc. | InForGrowth – PRnews Leader
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Artificial Intelligence in Manufacturing and Supply Chain Market 2020: Potential Growth, Challenges, and Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19 | Key Players: IBM, Microsoft, Oracle, Google, SAS, etc. | InForGrowth
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InForGrowth Market Research offers a most recent distributed report on Global Artificial Intelligence in Manufacturing and Supply Chain industry examination and figure 2019-2025 conveying key bits of knowledge and giving an upper hand to customers through a point by point report. The report contains XX pages which profoundly displays on current market investigation situation, up and coming just as future chances, income development, evaluating and gainfulness. The Global pandemic of COVID19 calls for redefining of business strategies. This Artificial Intelligence in Manufacturing and Supply Chain Market report includes the impact analysis necessary for the same
Download Sample Table of Content PDF of COVID-19/CoronaVirus Impact Analysis of Artificial Intelligence in Manufacturing and Supply Chain Market 2020. https://inforgrowth.com/CovidImpact-Request/6318608/artificial-intelligence-in-manufacturing-and-suppl
Worldwide Artificial Intelligence in Manufacturing and Supply Chain Market inspect reports consolidate market designs nuances, genuine scene, feature assessment, cost structure, capability, bargains, net advantage, and movement and measuring of business.
Major Key players covered in this report:– IBM, Microsoft, Oracle, Google, SAS, SAP SE, Siemens, Salesforce, Cambridge Analytica, Civis Analytics, RapidMiner, .
Artificial Intelligence in Manufacturing and Supply Chain Market Potential
The overall market is set up for energetic advancement with progressively moving of various gathering methodology to more affordable objectives in rising economies. Another factor booked to altogether bolster the market is fused programming game plans disposing of the prerequisite for different models and thing survey concerns.“Premium Insights on Artificial Intelligence in Manufacturing and Supply Chain Market 2020 with Market Players Positioning; Download Free Sample Copy: https://inforgrowth.com/sample-request/6318608/artificial-intelligence-in-manufacturing-and-suppl
The Worldwide Market for Global Artificial Intelligence in Manufacturing and Supply Chain market is relied upon to develop at a CAGR of generally xx% throughout the following five years, will arrive at xx million US$ in 2026, from xx million US$ in 2019, as per another research.
This report focuses around the Artificial Intelligence in Manufacturing and Supply Chain Market in the worldwide market, particularly in North America, Europe and Asia-Pacific, South America, Middle East, and Africa. This Artificial Intelligence in Manufacturing and Supply Chain Market report sorts the market dependent on the manufacturer, region, type, and application.
Major Classifications of Artificial Intelligence in Manufacturing and Supply Chain Market:
By Product Type: On-premise, Cloud-based
By Applications: Automotive, Aerospace, Chemicals, Building Construction, Others
The study objectives of Artificial Intelligence in Manufacturing and Supply Chain Market Report are:
To break down and inquire about the Artificial Intelligence in Manufacturing and Supply Chain status and future estimate in United States, European Union and China, including deals, esteem (income), development rate (CAGR), piece of the pie, chronicled and conjecture.
To introduce the key Artificial Intelligence in Manufacturing and Supply Chain makers, introducing the business, income, piece of the overall industry, and ongoing advancement for key players.
To part the breakdown information by locales, type, organizations and applications
To investigate the worldwide and key areas showcase potential and preferred position, opportunity and challenge, restrictions and dangers.
To recognize noteworthy patterns, drivers, impact factors in worldwide and areas
To break down serious improvements, for example, developments, understandings, new product dispatches, and acquisitions in the market
Industrial Analysis of Artificial Intelligence in Manufacturing and Supply Chain Market:
Regional Analysis of Artificial Intelligence in Manufacturing and Supply Chain Market: –
The report comprehensively bifurcates the geological scene for Artificial Intelligence in Manufacturing and Supply Chain market. According to the report, the market has set its essence through the locales of the United States, China, Europe, Japan, Southeast Asia, and India.
The examination of a market introduced in our reports gives important bits of knowledge to key getting ready for organizations to acquire the upper hand. Remembered for our exploration reports are important projections to comprehend a piece of the overall industry that key players may hold later on.
The anticipated development rate to be recorded by every locale over the conjecture years has been expressed in the examination report
The report additionally provides a local examination of the market with a high focus on showcase development, development rate, and development potential. The research report calculates marketplace length estimation to analyze investment possibilities and destiny growth. The key players and distinctive affecting components are examined completely on this report.
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Artificial Intelligence in Manufacturing and Supply Chain Market 2020: Potential Growth, Challenges, and Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19
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Artificial Intelligence Manufacturing Supply Chain Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: IBM, Microsoft, Oracle, Google, SAS, etc. InForGrowth PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Artificial Intelligence Manufacturing Supply Chain Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: IBM, Microsoft, Oracle, Google, SAS, etc. InForGrowth Post author By basavraj.t Post date November 17, 2020 InForGrowth Market Research offers recent distributed report Global Artificial Intelligence Manufacturing Supply Chain industry examination figure 20192025 conveying key bits knowledge giving upper hand customers point point report. The report contains XX profoundly displays current market investigation situation, coming future chances, income development, evaluating gainfulness. The Global pandemic COVID19 calls redefining business strategies. This Artificial Intelligence Manufacturing Supply Chain Market report includes impact analysis necessary Download Sample Table Content PDF COVID19CoronaVirus Impact Analysis Artificial Intelligence Manufacturing Supply Chain Market 2020. Worldwide Artificial Intelligence Manufacturing Supply Chain Market inspect reports consolidate market designs nuances, genuine scene, feature assessment, cost structure, capability, bargains, net advantage, movement measuring business. Major Key players covered report:IBM, Microsoft, Oracle, Google, SAS, SAP SE, Siemens, Salesforce, Cambridge Analytica, Civis Analytics, RapidMiner, . Artificial Intelligence Manufacturing Supply Chain Market Potential The overall market set energetic advancement progressively moving gathering methodology affordable objectives rising economies. Another factor booked altogether bolster market fused programming game plans disposing prerequisite different models thing survey concerns.Premium Insights Artificial Intelligence Manufacturing Supply Chain Market 2020 Market Players Positioning; Download Free Sample Copy: The Worldwide Market forGlobal Artificial Intelligence Manufacturing Supply Chain marketis relied develop CAGR generally xx following years, arrive xx million US 2026, xx million US 2019, research. This report focuses Artificial Intelligence Manufacturing Supply Chain Market worldwide market, particularly North America, Europe AsiaPacific, South America, Middle East, Africa. This Artificial Intelligence Manufacturing Supply Chain Market report sorts market dependent manufacturer, region, type, application. Major Classifications Artificial Intelligence Manufacturing Supply Chain Market: By Product Type: Onpremise, Cloudbased By Applications: Automotive, Aerospace, Chemicals, Building Construction, Others The study objectives Artificial Intelligence Manufacturing Supply Chain Market Report are: To break inquire Artificial Intelligence Manufacturing Supply Chain status future estimate United States, European Union China, including deals, esteem income, development rate CAGR, piece pie, chronicled conjecture. To introduce key Artificial Intelligence Manufacturing Supply Chain makers, introducing business, income, piece overall industry, ongoing advancement key players. To breakdown information locales, type, organizations applications To investigate worldwide key areas showcase potential preferred position, opportunity challenge, restrictions dangers. To recognize noteworthy patterns, drivers, impact factors worldwide areas To break improvements, example, developments, understandings, new product dispatches, acquisitions market Industrial Analysis Artificial Intelligence Manufacturing Supply Chain Market: Regional Analysis Artificial Intelligence Manufacturing Supply Chain Market: The report comprehensively bifurcates geological scene Artificial Intelligence Manufacturing Supply Chain market. According report, market set essence locales United States, China, Europe, Japan, Southeast Asia, India. The examination market introduced reports gives important bits knowledge key getting ready organizations acquire upper hand. Remembered exploration reports important projections comprehend piece overall industry key players hold later on. The anticipated development rate recorded locale conjecture years expressed examination report The report additionally provides local examination market high focus showcase development, development rate, development potential. The research report calculates marketplace length estimation analyze investment possibilities destiny growth. The key players distinctive affecting components examined completely report. Enquire Purchase report FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. Email:[emailprotected] Phone: 19093292808 UK: 44 203 743 1898 Website: Tags Artificial Intelligence Manufacturing Supply Chain, Artificial Intelligence Manufacturing Supply Chain Industry, Artificial Intelligence Manufacturing Supply Chain Market Global Wireframe Software Market Trends, Opportunities, Drivers, Challenges Forecast 2027 Global Circuit Breakers Market 2019 Trends, Segmentation, Swot Analysis, Opportunities And Forecast To 2025 for: Recent Posts Shaker Cup Market Size, Share, Analysis, Demand Forecast 2020 2026 BlenderBottle, Cyclone Cup, Lovate Health Sciences, ., Newell Brands Turbopump market 2020: COVID impact, industrial growth, regional analysis, trends forecasts 2026 COVID threats global Transfection Technologies market: Industry outlook, forecast 2026, key players, segments, regional analysis Global Disposable Maternity Pads Market Size 2020 Growth Opportunities, Top Leaders, Revenue, Regional Overview Forecast 2027 Fishing Gear Market Report Delivering Growth Analysis With Key Trends Of Top Companies 20202026 2020 PRnews Leader Powered WordPress To Up
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https://punchng.com/ecowas-ai-seek-improved-attention-for-children-health/
| 2022-01-18T00:00:00 |
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ECOWAS, AI seek improved attention for children health - Punch Newspapers
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ECOWAS, AI seek improved attention for children health - Punch Newspapers
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ECOWAS, AI seek improved attention for children health
Solomon Odeniyi
Published 19 January 2022
Kindly share this story:
Solomon Odeniyi
Published 19 January 2022
The Economic Community of West African State and Amnesty International have called on West African countries to give adequate attention to child rights and health care.
According to the bodies, the inability of countries within the region to do this has led to many children losing their lives to various diseases.
The Director of Political Affairs, ECOWAS Commission, Dr. Remi Ajibewa and the Country Director, Amnesty International Nigeria, Ossai Ojigbho spoke separately at the hybrid celebration of ECOWAS Human Rights Day on Monday in Abuja.
Ajibewa who said apart from insecurity in the region many member countries were yet to enforce the child rights, saying these had made children suffer from several diseases.
He said, “At present, critical challenges facing respect for child right to health in Member States are mostly occasioned by insecurity and other forms of conflict in the region.
“The mirage of not attending to the concerns of enforcement of child rights has often led to situations where children are forced to suffer a great deal of health concerns and a consequential loss of their lives. Read Also Mali sanctions imposed with reluctance, Ivory Coast leader OuattaraMali to oppose ECOWAS sanctions in international courtsUN asks Mali government for election timetable
On her part, Ojigbho said despite signing a number of international and regional treaties, protocols and conventions by member states, adequate attention was still not being given to the health sector.
She said, “If health services are not getting the minimum service that it requires then you can only imagine how children’s health would be provided. African countries should improve on their budget and prioritise the issue of health.
“The impact of this has been manifesting in the number of out of school children in the continent, the number of children suffering from
Copyright PUNCH.All rights reserved. This material, and other digital content on this website, may not be reproduced, published, broadcast, rewritten or redistributed in whole or in part without prior express written permission from PUNCH. Contact: [email protected]
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ECOWAS, AI seek improved attention for children health
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ECOWAS, AI seek improved attention children health Punch Newspapers Skip content Punch Newspapers Home News Sports Metro Plus Entertainment Politics Business Videos HealthWise Editorial Columns Opinion site for: 19712020 The Punch newspaper Sections PunchNG Menu: Video Spice Special Features Education Sex Relationship Interview Columns Opinion Privacy Settings ECOWAS, AI seek improved attention children health Solomon Odeniyi Published 19 January 2022 Kindly share story: Solomon Odeniyi Published 19 January 2022 The Economic Community West African State Amnesty International called West African countries adequate attention child rights health care. According bodies, inability countries region led children losing lives diseases. The Director Political Affairs, ECOWAS Commission, Dr. Remi Ajibewa Country Director, Amnesty International Nigeria, Ossai Ojigbho spoke separately hybrid celebration ECOWAS Human Rights Day Monday Abuja. Ajibewa said apart insecurity region member countries enforce child rights, saying children suffer diseases. He said, At present, critical challenges facing respect child right health Member States occasioned insecurity forms conflict region. The mirage attending concerns enforcement child rights led situations children forced suffer great deal health concerns consequential loss lives. Read Also Mali sanctions imposed reluctance, Ivory Coast leader OuattaraMali oppose ECOWAS sanctions international courtsUN asks Mali government election timetable On part, Ojigbho said despite signing number international regional treaties, protocols conventions member states, adequate attention given health sector. She said, If health services getting minimum service requires imagine childrens health provided. African countries improve budget prioritise issue health. The impact manifesting number school children continent, number children suffering PUNCH.. This material, digital content website, reproduced, published, broadcast, rewritten redistributed prior express written permission PUNCH. : [emailprotected] Latest News IATA appoints Leger senior vicepresident Buhari seeks Senate confirmation NCC, FJSC nominees Group seeks cancellation Ekiti PDP congress Stop attacking traffic officials, commissioner warns motorists 2023: Your fake rice pyramids help APC, PDP hits Buhari More Tags: children health ECOWAS Kindly share story: PROFITABLE FOREX, BITCOIN AND BINARY TRADING: We help professionally trade forex, bitcoin binary accounts minimum 20 weekly profit. For details, visit WhatsApp: 2348030797998 TOP STORIES 2023: Your fake rice pyramids help APC, PDP hits Buhari Canadian minister attacked Malami asked step aside traffic violation NFF retain Eguavoen Super Eagles coach if... Pinnick Download PUNCH NEWS app: Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Punch Newspapers for: News Sports Metro Plus Politics Featured Latest News Business Business Economy Opinion Entertainment Auto Famous Auto Punch Barka Da Sallah Barriers Breaker Breaking News Brexit Columns Corona Anticorruption Biafra Boko Haram Case Review Court News Court Trivia Campus Champion Celebrity City round Interview Panorama Opinion Special Features Spice Technology Famous Parent Education Cartoon Columns Diaspora Advertise 19712022 The Punch Newspaper About Advertise Social media: Sign Up For Punch Newsletter Subscription Successful Enter valid email address Enter valid email address Email Address exist Submit No, thanks By submitting agree privacy policy Welcome newsletter family. You set
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https://qz.com/chatgpt-openai-sam-altman-eu-rules-ai-act-1850473713
| 2023-05-25T00:00:00 |
en
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ChatGPT creator OpenAI threatens to leave the EU over AI Act
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ChatGPT creator OpenAI threatens to leave the EU over AI Act
The A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.™️Send us a tip!ShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsWe may earn a commission from links on this page.Make business better.™️HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsTechnologyhow much is too muchOpenAI’s Sam Altman threatened leave the EU if he doesn’t like their ChatGPT regulationChatGPT's parent company has time and again warned against over-regulating generative AIByAnanya BhattacharyaPublished31 minutes agoWe may earn a commission from links on this page.Regulating regulations.Photo: Elizabeth Frantz (Reuters)OpenAI’s Sam Altman wants no business with the European Union if its laws are too overbearing.WatchCarin Pai, Part 2: Reasons to de-risk your portfolio
CCShare SubtitlesOffEnglishShare this VideoFacebookTwitterEmailRedditLinkview videoReasons to de-risk your portfolio right nowThe US debt ceiling fight is a short-term phenomenon for marketsTuesday 3:01PM3 ways to negotiate your return to the officeMay 18, 2023At a conference in London yesterday (May 24), the founder and CEO of the company behind the vastly popular ChatGPT said OpenAI would leave the bloc if it is unable to comply with the region’s artificial intelligence (AI) regulations, which are currently a work in progress.AdvertisementAs part of its rule-making, the EU is seeking to implement transparency measures in so-called general purpose AI. “Generative foundation models, like GPT, would have to comply with additional transparency requirements, like disclosing that the content was generated by AI, designing the model to prevent it from generating illegal content, and publishing summaries of copyrighted data used for training,” the European Parliament noted on May 11.The need for transparency over the data collected to train the algorithm has long been a concern for regulators in European country—that was the basis for Italy’s temporary ban on ChatGPT in March. Altman isn’t making any promises on that frony. “If we can comply, we will, and if we can’t, we’ll cease operating… We will try. But there are technical limits to what’s possible,” Altman said, according to Time.AdvertisementAdvertisementOpenAI has earlier expressed that individual countries should not be setting narrow rules, like defining what an AI should be allowed to say, or watering down its potential by putting the threshold for regulations too low.Quotable: Altman is waiting for less regulating by the EU“The current draft of the EU AI Act would be over-regulating, but we have heard it’s going to get pulled back. They are still talking about it.”—Sam Altman to ReutersAdvertisementCompany of interest: AlphabetUnlike others who are in wait-and-watch mode, Google’s parent company is taking a proactive approach in collaborating with EU lawmakers. Alphabet CEO Sundar Pichai is forging “An ‘AI Pact’ ahead of the EU AI Act” on a “voluntary basis ahead of the legal deadline of the AI regulation,” Thierry Breton, the European commissioner for internal market, tweeted on May 24.AdvertisementThe case for regulating ChatGPT and other generative AI Since its public debut in November last year, ChatGPT has given rise to a slew of use cases from cutting down time to write code from 9 weeks to a few days to creating AI videos from start to finish to diagnosing patients. But for all its merits, generative AI also poses concerns like helping bad actors spread disinformation and generally erode critical thinking skills of the larger population.AdvertisementTherefore, critics are calling for increased oversight. And the chorus is only growing.While the EU is the closest to creating a first-of-its-kind regulation for ChaptGPT-like AI tools, other countries have also put it on the priority list. The two largest democracies in the world—the US and India—are looking to draw up regulations, too. Last month, China shared draft rules on how this tech should be used, including specifying that the content produced by ChatGPT-esque systems should align with the country’s core ideology of socialism.AdvertisementCountry of Interest: IndiaAltman is slated to visit India next month, where he will reportedly meet top government officials. But swaying them in his favor won’t be easy because India has its own set of views on how AI must be deployed in the country, union minister Rajiv Chandrasekhar warned.Advertisement“Sam Altman is obviously a smart man. He has his own ideas about how AI should be regulated,” Chandrasekhar told MoneyControl. “We certainly think we have some smart brains in India as well and we have our own views on how AI should have guardrails.”Fun fact: ChatGPT supports the regulation of ChatGPTIn December 2022, in response to a request by journal Scientific American, ChatGPT penned a thoughtful essay on how ChatGPT should be regulated. It established a need to strike a balance, identifying that “overly strict regulations could stifle innovation” but “insufficient regulation could lead to abuses of the technology.”AdvertisementOne more thing: OpenAI calls for an international governing bodyIn a May 22 blogpost titled “Governance of Superintelligence,” Altman, together with OpenAI’s Nonprofit & Strategic Initiatives head Greg Brockman and the company’s co-Founder and chief scientist Ilya Sutskeber, said that AI will eventually need to be supervised by a monitoring body akin to the International Atomic Energy Agency (IAEA), an intergovernmental organization that seeks to promote the peaceful use of nuclear energy and to inhibit its use for any military purpose. AdvertisementThis international body would “inspect systems, require audits, test for compliance with safety standards, place restrictions on degrees of deployment and levels of security, etc.,” the trio wrote. “It would be important that such an agency focus on reducing existential risk and not issues that should be left to individual countries, such as defining what an AI should be allowed to say.”Related stories🕵️ ChatGPT is getting more nuanced🇮🇹 Italy has banned ChatGPT, but will its clampdown work?🇨🇳 China wants to require a security review of AI services before they’re releasedContinue reading📬 Sign up for the Daily BriefOur free, fast, and fun briefing on the global economy, delivered every weekday morning.
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ChatGPT creator OpenAI threatens to leave the EU over AI Act
|
ChatGPT creator OpenAI threatens leave EU AI Act The A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.Send tipShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsWe earn commission links .Make business better.HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsTechnologyhow muchOpenAIs Sam Altman threatened leave EU doesnt like ChatGPT regulationChatGPTs parent company time warned overregulating generative AIByAnanya BhattacharyaPublished31 minutes agoWe earn commission links .Regulating regulations.Photo: Elizabeth Frantz ReutersOpenAIs Sam Altman wants business European Union laws overbearing.WatchCarin Pai, Part 2: Reasons derisk portfolio CCShare SubtitlesOffEnglishShare VideoFacebookTwitterEmailRedditLinkview videoReasons derisk portfolio right nowThe US debt ceiling fight shortterm phenomenon marketsTuesday 3:01PM3 ways negotiate return officeMay 18, 2023At conference London yesterday May 24, founder CEO company vastly popular ChatGPT said OpenAI leave bloc unable comply regions artificial intelligence AI regulations, currently work progress.AdvertisementAs rulemaking, EU seeking implement transparency measures socalled general purpose AI. Generative foundation models, like GPT, comply additional transparency requirements, like disclosing content generated AI, designing model prevent generating illegal content, publishing summaries copyrighted data training, European Parliament noted May 11.The need transparency data collected train algorithm long concern regulators European countrythat basis Italys temporary ban ChatGPT March. Altman isnt making promises frony.If comply, will, cant, cease operating We try. But technical limits whats possible, Altman said, according Time.AdvertisementAdvertisementOpenAI earlier expressed individual countries setting narrow rules, like defining AI allowed say, watering potential putting threshold regulations low.Quotable: Altman waiting regulating EUThe current draft EU AI Act overregulating, heard going pulled back. They talking it.Sam Altman ReutersAdvertisementCompany interest: AlphabetUnlike waitandwatch mode, Googles parent company taking proactive approach collaborating EU lawmakers. Alphabet CEO Sundar Pichai forging An AI Pact ahead EU AI Act voluntary basis ahead legal deadline AI regulation, Thierry Breton, European commissioner internal market, tweeted May 24.AdvertisementThe case regulating ChatGPT generative AI Since public debut November year, ChatGPT given rise slew use cases cutting time write code 9 weeks days creating AI videos start finish diagnosing patients. But merits, generative AI poses concerns like helping bad actors spread disinformation generally erode critical thinking skills larger population.AdvertisementTherefore, critics calling increased oversight. And chorus growing.While EU closest creating firstofitskind regulation ChaptGPTlike AI tools, countries priority list. The largest democracies worldthe US Indiaare looking draw regulations, too. Last month, China shared draft rules tech used, including specifying content produced ChatGPTesque systems align countrys core ideology socialism.AdvertisementCountry Interest: IndiaAltman slated visit India month, reportedly meet government officials. But swaying favor wont easy India set views AI deployed country, union minister Rajiv Chandrasekhar warned.AdvertisementSam Altman obviously smart man. He ideas AI regulated, Chandrasekhar told MoneyControl. We certainly think smart brains India views AI guardrails.Fun fact: ChatGPT supports regulation ChatGPTIn December 2022, response request journal Scientific American, ChatGPT penned thoughtful essay ChatGPT regulated. It established need strike balance, identifying overly strict regulations stifle innovation insufficient regulation lead abuses technology.AdvertisementOne thing: OpenAI calls international governing bodyIn May 22 blogpost titled Governance Superintelligence, Altman, OpenAIs Nonprofit Strategic Initiatives head Greg Brockman companys coFounder chief scientist Ilya Sutskeber, said AI eventually need supervised monitoring body akin International Atomic Energy Agency IAEA, intergovernmental organization seeks promote peaceful use nuclear energy inhibit use military purpose. AdvertisementThis international body inspect systems, require audits, test compliance safety standards, place restrictions degrees deployment levels security, etc., trio wrote. It important agency focus reducing existential risk issues left individual countries, defining AI allowed say.Related stories ChatGPT getting nuanced Italy banned ChatGPT, clampdown work? China wants require security review AI services theyre releasedContinue reading Sign Daily BriefOur free, fast, fun briefing global economy, delivered weekday morning.
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] | 1 | 197,012 |
https://reviewindependent.com/uncategorized/1206869/global-united-states-artificial-intelligence-for-automotive-research-report-2026/
| 2021-02-12T00:00:00 |
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Global UNITED STATES ARTIFICIAL INTELLIGENCE FOR AUTOMOTIVE Research Report 2026
Post author
By marketresearchfuture
Post date
February 12, 2021
Global and United States Artificial Intelligence for Automotive Market Size, Status and Forecast 2020-2026
Global Artificial Intelligence for Automotive Scope and Market Size
Artificial Intelligence for Automotive market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence for Automotive market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Also Read: https://tigersushithebe13744.wordpress.com/2021/01/28/global-bluetooth-based-smart-lock-market-size-share-price-and-trend-2016-2027/
Market segment by Type, the product can be split into
Machine Learning
Neural Networks
Also Read : http://wiseguy110.aioblogs.com/50713216/global-bluetooth-based-smart-lock-market-cagr-volume-and-value-2016-2027
Market segment by Application, split into
Autonomous Driving
Driver and Passenger Personalization and Enhancement
Enhanced Ability to Capture Data
Other
Also Read: https://wiseguy101.over-blog.com/2021/01/global-bluetooth-based-smart-lock-market-by-type-by-application-by-segmentation-by-region-and-by-country-2016-2027.html
Based on regional and country-level analysis, the Artificial Intelligence for Automotive market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Also Read: https://www.evernote.com/shard/s578/sh/e825eef9-248e-4f16-6520-99ae419e43a2/74d0756b91766450df1264c4274551d4
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Latin America
Mexico
Also Read: https://penzu.com/p/62c43161
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa
In the competitive analysis section of the report, leading as well as prominent players of the global Artificial Intelligence for Automotive market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
The key players covered in this study
AImotive
Argo AI
Astute Solutions
Audi
BMW
FOR MORE DETAILS : https://www.wiseguyreports.com/reports/5545026-global-plastic-and-competitive-pipe-market-insights-and-forecast-to-2026
About Us:
Wise Guy Reports is part of the Wise Guy Research Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe.
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Global UNITED STATES ARTIFICIAL INTELLIGENCE FOR AUTOMOTIVE Research Report 2026 Reviewindependent Skip content Reviewindependent Menu Coronavirus Energy News Space All News for: Close search Close Menu Coronavirus Energy News Space All News Categories All News Global UNITED STATES ARTIFICIAL INTELLIGENCE FOR AUTOMOTIVE Research Report 2026 Post author By marketresearchfuture Post date February 12, 2021 Global United States Artificial Intelligence Automotive Market Size, Status Forecast 20202026 Global Artificial Intelligence Automotive Scope Market Size Artificial Intelligence Automotive market segmented Type, Application. Players, stakeholders, participants global Artificial Intelligence Automotive market able gain upper hand use report powerful resource. The segmental analysis focuses revenue forecast Type Application terms revenue forecast period 20152026. Also Read: Market segment Type, product split Machine Learning Neural Networks Also Read: Market segment Application, split Autonomous Driving Driver Passenger Personalization Enhancement Enhanced Ability Capture Data Other Also Read: Based regional countrylevel analysis, Artificial Intelligence Automotive market segmented follows: North America United States Canada Europe Germany France U.K. Also Read: Italy Russia Nordic Rest Europe AsiaPacific China Japan South Korea Southeast Asia India Australia Rest AsiaPacific Latin America Mexico Also Read: Brazil Middle East Africa Turkey Saudi Arabia UAE Rest Middle East Africa In competitive analysis section report, leading prominent players global Artificial Intelligence Automotive market broadly studied basis key factors. The report offers comprehensive analysis accurate statistics revenue player period 20152020. It offers detailed analysis supported reliable statistics price revenue global level player period 20152020. The key players covered study AImotive Argo AI Astute Solutions Audi BMW FOR MORE DETAILS : : Wise Guy Reports Wise Guy Research Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Us: NORAH TRENT [emailprotected] Ph: 16282580070 US Ph: 44 2035002763 UK Global Hair Extension Market Insights, Overview, Analysis Forecast 2021 for: Recent Posts Global UNITED STATES ARTIFICIAL INTELLIGENCE FOR AUTOMOTIVE Research Report 2026 Global Hair Extension Market Insights, Overview, Analysis Forecast 2021 Global CHINA ABS Research Report 2026 Video Magnifiers Market: Opportunities, Demand Forecasts, 20212030 Global OFFHIGHWAY ELECTRIC VEHICLE Research Report 2026 Google NewsGlobal Bean Puree Market 2020 Development Analysis, Strategic Outlook, Growth Rate Forecast 2025General Atomics buys Tiger InnovationsAn open missilewarning satellite data service faces obstaclesAn electric hypercar works, collaboration Italys Silk EV Chinas First Automobile Works FAWIn midFebruary, Virgin Galactic continue SpaceShipTwo trial flightsSolar farm spend 3 million upfront countySpaceX Crew Dragon mission acquired EntrepreneurGlobal Protein Bar Research Report 2026Global Echinacea Extract Market 2020 BIOFORCE AG, Xi Rainbow Biotech, Jamieson Laboratories, New Natural Biotechnology Co.,LtdMobile Security Software Market 2021 Emerging Trends, Global Size Major Players: Kaspersky Lab, McAfee, Symantec, AegisLab, Apple etc.How welcoming Tesla Indian Electric Vehicle Market Impact Current Situation?The rise renewable energy increases investors returnsThe CEO Huawei great hopes resetting Bidens administrationThe building blockchain energy trading platform supported German governmentWhats Scheduled Space Policy January 31 February 6, 2021Thornton Passes Away 91Space Stocks heading MoonArtemis lude Two Lunar Gateway Instruments Space Weather ForecastingTesting SpaceXs Starship SN9 ScheduledCalifornia surpasses renewable energy goals local demand 2021 Reviewindependent Powered WordPress To Up
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https://satprnews.com/2023/06/22/the-importance-of-ethical-and-responsible-ai-in-chatgpts-data-visualization/
| 2023-06-22T00:00:00 |
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The Impact of Ethical and Responsible AI on ChatGPT’s Data Visualization – satPRnews
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The Impact of Ethical and Responsible AI on ChatGPT’s Data Visualization – satPRnews
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satPRnews
Space & AI Reports
The Impact of Ethical and Responsible AI on ChatGPT’s Data Visualization
The Impact of Ethical and Responsible AI on ChatGPT’s Data Visualization
Artificial Intelligence (AI) has become an integral part of our daily lives, from the virtual assistants on our smartphones to the algorithms that power our social media feeds. As AI continues to advance, it is important to consider the ethical and responsible implications of its use, particularly in data visualization. ChatGPT, a leading data visualization platform, recognizes the importance of ethical and responsible AI and has made it a priority in their operations.
Data visualization is the process of presenting data in a visual format, such as graphs, charts, and maps. It is a powerful tool for understanding complex information and making informed decisions. However, data visualization can also be used to manipulate and misrepresent data, leading to biased or inaccurate conclusions. This is where ethical and responsible AI comes in.
Ethical AI refers to the use of AI in a way that is fair, transparent, and accountable. Responsible AI goes a step further, taking into account the potential impact of AI on society and the environment. In the context of data visualization, ethical and responsible AI means using AI to present data in a way that is unbiased, accurate, and easy to understand.
ChatGPT understands the importance of ethical and responsible AI in data visualization and has taken steps to ensure that their platform reflects these values. One way they have done this is by implementing algorithms that detect and correct bias in data. For example, if a dataset contains gender bias, the algorithm will adjust the data to ensure that the visualization is not biased towards one gender.
Another way ChatGPT promotes ethical and responsible AI is by providing transparency in their algorithms. Users can see how the algorithms work and what data they are using to create visualizations. This transparency allows users to understand how the data is being presented and make informed decisions based on that information.
ChatGPT also recognizes the potential impact of AI on society and the environment. They have made a commitment to using AI in a way that is sustainable and does not harm the environment. This includes using renewable energy sources and minimizing their carbon footprint.
The impact of ethical and responsible AI on data visualization goes beyond just presenting accurate and unbiased data. It also has the potential to promote social justice and equality. For example, data visualization can be used to highlight disparities in healthcare access or education opportunities. By presenting this data in a way that is easy to understand and accessible, it can lead to informed discussions and policy changes that address these issues.
In addition, ethical and responsible AI can also promote diversity and inclusion. By detecting and correcting bias in data, AI can help ensure that all voices are heard and represented in data visualization. This can lead to a more inclusive and equitable society.
In conclusion, the importance of ethical and responsible AI in data visualization cannot be overstated. ChatGPT recognizes this and has made it a priority in their operations. By using algorithms that detect and correct bias, providing transparency in their algorithms, and promoting sustainability, ChatGPT is leading the way in ethical and responsible AI. The impact of this goes beyond just presenting accurate data – it has the potential to promote social justice, equality, and inclusion. As AI continues to advance, it is important that we prioritize ethical and responsible AI in all aspects of our lives, including data visualization.
Author adminPosted on June 22, 2023June 22, 2023Categories News
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The Impact of Ethical and Responsible AI on ChatGPT’s Data Visualization
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The Impact Ethical Responsible AI ChatGPTs Data Visualization satPRnews Skip content satPRnews Space AI Reports The Impact Ethical Responsible AI ChatGPTs Data Visualization The Impact Ethical Responsible AI ChatGPTs Data Visualization Artificial Intelligence AI integral daily lives, virtual assistants smartphones algorithms power social media feeds. As AI continues advance, important consider ethical responsible implications use, particularly data visualization. ChatGPT, leading data visualization platform, recognizes importance ethical responsible AI priority operations. Data visualization process presenting data visual format, graphs, charts, maps. It powerful tool understanding complex information making informed decisions. However, data visualization manipulate misrepresent data, leading biased inaccurate conclusions. This ethical responsible AI comes in. Ethical AI refers use AI way fair, transparent, accountable. Responsible AI goes step further, taking account potential impact AI society environment. In context data visualization, ethical responsible AI means AI present data way unbiased, accurate, easy understand. ChatGPT understands importance ethical responsible AI data visualization taken steps ensure platform reflects values. One way implementing algorithms detect correct bias data. For example, dataset contains gender bias, algorithm adjust data ensure visualization biased gender. Another way ChatGPT promotes ethical responsible AI providing transparency algorithms. Users algorithms work data create visualizations. This transparency allows users understand data presented informed decisions based information. ChatGPT recognizes potential impact AI society environment. They commitment AI way sustainable harm environment. This includes renewable energy sources minimizing carbon footprint. The impact ethical responsible AI data visualization goes presenting accurate unbiased data. It potential promote social justice equality. For example, data visualization highlight disparities healthcare access education opportunities. By presenting data way easy understand accessible, lead informed discussions policy changes address issues. In addition, ethical responsible AI promote diversity inclusion. By detecting correcting bias data, AI help ensure voices heard represented data visualization. This lead inclusive equitable society. In conclusion, importance ethical responsible AI data visualization overstated. ChatGPT recognizes priority operations. By algorithms detect correct bias, providing transparency algorithms, promoting sustainability, ChatGPT leading way ethical responsible AI. The impact goes presenting accurate data potential promote social justice, equality, inclusion. As AI continues advance, important prioritize ethical responsible AI aspects lives, including data visualization. Author adminPosted June 22, 2023June 22, 2023Categories News Post navigation Previous Previous post: The Role Spy Satellites Counterterrorism OperationsNext Next post: The Importance Earth Observation Satellites Indigenous Rights for: Recent Posts The Impact Starlink, TS2 Space, Other ISPs Lypovets, Ukraine The Advantages Using Satellites Resource Management Conservation Benefits Using DJI Mavic 2 Enterprise Speaker Communication Emergency Situations Starlink: Bringing HighSpeed Internet Dortmund CubeSatBased Technologies SpaceBased Biological Research Benefits Starlink internet Belgaum, Belgaum Improved Data Collection Introduction Inmarsat M2M Overview Drone Acoustic System Interplanetary Satellites: The Key Unlocking SpaceBased Virtual Reality satPRnews Proudly powered WordPress
| 2,023 |
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https://scale.com/careers/4281715005
| 2023-06-12T00:00:00 |
en
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Lead Machine Learning Research Engineer, Generative AI | Careers | Scale AI
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Lead Machine Learning Research Engineer, Generative AI | Careers | Scale AIProductsGovernmentSolutionsCustomersPricingResourcesCompanyProductsScale Data EngineAnnotate, curate, and collect dataAutomotiveUnlock L2 to L5 autonomyGenerative AI & RLHFPower generative AI modelsScale SpellbookThe platform for LLM appsScale Generative AI PlatformFull-stack generative AIScale ForgeAI powered marketing suiteScale E-Commerce AIEnhance E-commerce dataScale DonovanAI solutions for FederalSolutionsRetail & eCommerceDefenseLogisticsAutonomous VehiclesRoboticsAR/VRContent & LanguageSmart Port LabFederal LLMsResourcesResource LibraryBlogDocumentationEventsGuidesOpen DatasetsAI Readiness Report 2023CompanyAboutContactCareersSecurityLegalBook a DemoLog InCareersMissionCredosStoriesBenefitsOpen PositionsGet Started TodayGet Started →Book a Demo →ProductsScale Data EngineScale Generative AI PlatformScale Government AI PlatformScale SpellbookSolutionsRetail & eCommerceDefenseLogisticsAutonomous VehiclesRoboticsAR/VRContent & LanguageRLHFCompanyAboutPricingCareersSecurityLegalResourcesBlogCustomersEventsOpen DatasetsInterviewsDocumentationGuidesCommunityAI Readiness Report 2023GuidesData LabelingML Model TrainingDiffusion ModelsGuide to AI for eCommerceComputer Vision ApplicationsLarge Language [email protected]@[email protected]@scale.comCopyright © 2023 Scale AI, Inc. All rights reserved.Terms of Use & Privacy Policy
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Lead Machine Learning Research Engineer, Generative AI
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Lead Machine Learning Research Engineer, Generative AI Careers Scale AIProductsGovernmentSolutionsCustomersPricingResourcesCompanyProductsScale Data EngineAnnotate, curate, collect dataAutomotiveUnlock L2 L5 autonomyGenerative AI RLHFPower generative AI modelsScale SpellbookThe platform LLM appsScale Generative AI PlatformFullstack generative AIScale ForgeAI powered marketing suiteScale ECommerce AIEnhance Ecommerce dataScale DonovanAI solutions FederalSolutionsRetail eCommerceDefenseLogisticsAutonomous VehiclesRoboticsARVRContent LanguageSmart Port LabFederal LLMsResourcesResource LibraryBlogDocumentationEventsGuidesOpen DatasetsAI Readiness Report 2023CompanyAboutCareersSecurityLegalBook DemoLog InCareersMissionCredosStoriesBenefitsOpen PositionsGet Started TodayGet Started Book Demo ProductsScale Data EngineScale Generative AI PlatformScale Government AI PlatformScale SpellbookSolutionsRetail eCommerceDefenseLogisticsAutonomous VehiclesRoboticsARVRContent LanguageRLHFCompanyAboutPricingCareersSecurityLegalResourcesBlogCustomersEventsOpen DatasetsInterviewsDocumentationGuidesCommunityAI Readiness Report 2023GuidesData LabelingML Model TrainingDiffusion ModelsGuide AI eCommerceComputer Vision ApplicationsLarge Language Modelssales 2023 Scale AI, . .Terms Use
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https://sciencein.me/2020/04/12/data-science-platform-market-product-and-application-segmentation-till-2020-2025/
| 2020-04-12T00:00:00 |
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Data Science Platform Market Product and Application Segmentation till 2020-2025 – Science In Me
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Data Science Platform Market Product and Application Segmentation till 2020-2025 – Science In Me
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Data Science Platform Market Product and Application Segmentation till 2020-2025
By [email protected] on April 12, 2020
Data Science Platform Market Insights 2018, is a professional and in-depth study on the current state of the global Data Science Platform industry with a focus on the Global market. The report provides key statistics on the market status of the Data Science Platform manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. Overall, the report provides an in-depth insight of 2018-2025 global Data Science Platform market covering all important parameters.
Request Sample Report @ https://www.researchmoz.com/enquiry.php?type=S&repid=2552259&source=atm
The key points of the Data Science Platform Market report:
The report provides a basic overview of the Data Science Platform industry including its definition, applications and manufacturing technology.
The report explores the international and Chinese major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2018-2025 market shares for each company.
Through the statistical analysis, the report depicts the global total market of Data Science Platform industry including capacity, production, production value, cost/profit, supply/demand and Chinese import/export.
The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
The report then estimates 2018-2025 market development trends of Data Science Platform industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
The report makes some important proposals for a new project of Data Science Platform Industry before evaluating its feasibility.
Make An Enquiry About This Report @ https://www.researchmoz.com/enquiry.php?type=E&repid=2552259&source=atm
There are 3 key segments covered in this report: competitor segment, product type segment, end use/application segment.
For competitor segment, the report includes global key players of Data Science Platform are included:
The major players profiled in this report include:Company A
The end users/applications and product categories analysis:On the basis of product, this report displays the sales volume, revenue (Million USD), product price, market share and growth rate of each type, primarily split into-General Type
On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate of Data Science Platform for each application, including-Science
You can Buy This Report from Here @ https://www.researchmoz.com/checkout?rep_id=2552259&licType=S&source=atm
Reasons to Purchase this Report:
* Estimates 2018-2025 Data Science Platform market development trends with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Author Recent Posts [email protected] Latest posts by [email protected] (see all) Chemical Synthetic Metal NanoparticlesMarketOverview, Top Companies, Inventive Trends and Forecast to 2026 - April 12, 2020 Employee Performance SoftwareMarket Price Analysis 2019-2025 - April 12, 2020 Butyric Acid DerivativesMarket 2019: Key Players, Trends, Share, Industry Size, Segmentation, Opportunities, Forecast To 2021 - April 12, 2020
Published in All News China Data Science Platform Market TrendData Science PlatformData Science Platform IndustryData Science Platform MarketData Science Platform Market IntelligenceEurope Data Science Platf
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Data Science Platform Market Product and Application Segmentation till 2020-2025
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Data Science Platform Market Product Application Segmentation till 20202025 Science In Me Press Enter skip content Science In Me Our Writers Us Science In MeApril 12, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Data Science Platform Market Product Application Segmentation till 20202025 By [emailprotected] April 12, 2020 Data Science Platform Market Insights 2018, professional indepth study current state global Data Science Platform industry focus Global market. The report provides key statistics market status Data Science Platform manufacturers valuable source guidance direction companies individuals interested industry. Overall, report provides indepth insight 20182025 global Data Science Platform market covering important parameters. Request Sample Report @ The key points Data Science Platform Market report: The report provides basic overview Data Science Platform industry including definition, applications manufacturing technology. The report explores international Chinese major industry players detail. In part, report presents company profile, product specifications, capacity, production value, 20182025 market shares company. Through statistical analysis, report depicts global total market Data Science Platform industry including capacity, production, production value, costprofit, supplydemand Chinese importexport. The total market divided company, country, applicationtype competitive landscape analysis. The report estimates 20182025 market development trends Data Science Platform industry. Analysis upstream raw materials, downstream demand, current market dynamics carried out. The report makes important proposals new project Data Science Platform Industry evaluating feasibility. Make An EnquiryAbout This Report @ There 3 key segments covered report: competitor segment, product type segment, end useapplication segment. For competitor segment, report includes global key players Data Science Platform included: The major players profiled report include:Company A The end usersapplications product categories analysis:On basis product, report displays sales volume, revenue Million USD, product price, market share growth rate type, primarily split intoGeneral Type On basis end usersapplications, report focuses status outlook major applicationsend users, sales volume, market share growth rate Data Science Platform application, includingScience You Buy This Report Here @ Reasons Purchase Report: Estimates 20182025 Data Science Platform market development trends recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic policy aspects Regional country level analysis integrating demand supply forces influencing growth market. Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Author Recent Posts [emailprotected] Latest posts [emailprotected] Chemical Synthetic Metal NanoparticlesMarketOverview, Top Companies, Inventive Trends Forecast 2026 April 12, 2020 Employee Performance SoftwareMarket Price Analysis 20192025 April 12, 2020 Butyric Acid DerivativesMarket 2019: Key Players, Trends, Share, Industry Size, Segmentation, Opportunities, Forecast To 2021 April 12, 2020 Published All News China Data Science Platform Market TrendData Science PlatformData Science Platform IndustryData Science Platform MarketData Science Platform Market IntelligenceEurope Data Science Platf [emailprotected] More All NewsMore posts All News Chemical Synthetic Metal Nanoparticles Market Overview, Top Companies, Inventive Trends Forecast 2026Mobile Content Delivery Network Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026Employee Performance Software Market Price Analysis 20192025Orthopedic Joint Replacement Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 Chemical Synthetic Metal Nanoparticles Market Overview, Top Companies, Inventive Trends Forecast 2026Chemical Synthetic Metal Nanoparticles Market Overview, Top Companies, Inventive Trends Forecast 2026By [emailprotected]Global Chemical Synthetic Metal Nanoparticles market size reach xx million US 2025, xx million US 2018, CAGR xx... Comments closed Employee Performance Software Market Price Analysis 20192025Employee Performance Software Market Price Analysis 20192025By [emailprotected]The worldwide market Employee Performance Software expected grow CAGR roughly years, reach million US... Comments closed Mobile Content Delivery Network Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026Mobile Content Delivery Network Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026By Navanath RNew Jersey, United States:The new report added Market Research Intellect provide detailed overview Mobile Content Delivery Network Market.... Comments closed Orthopedic Joint Replacement Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026Orthopedic Joint Replacement Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026By Navanath RNew Jersey, United States:The new report added Market Research Intellect provide detailed overview Orthopedic Joint Replacement Market. The... Comments closed Semiconductor Silicon Intellectual Property Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026Semiconductor Silicon Intellectual Property Market Size Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026By Navanath RNew Jersey, United States:The new report added Market Research Intellect provide detailed overview Semiconductor Silicon Intellectual Property Market.... Comments closed Science In Me Science, Space, Satellite Energy Markets Our Writers Us Mission News Theme Compete Themes.
| 2,020 |
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MIT Engineers Build LEGO-Like Reconfigurable Artificial Intelligence Chip
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MIT Engineers Build LEGO-Like Reconfigurable Artificial Intelligence Chip TOPICS:Artificial IntelligenceElectrical EngineeringMITSemiconductors
By Jennifer Chu, Massachusetts Institute of Technology
June 22, 2022
MIT engineers have created a reconfigurable AI chip that comprises alternating layers of sensing and processing elements that can communicate with each other. Credit: Figure courtesy of the researchers and edited by MIT News
The new AI chip design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Imagine a more sustainable future, where cellphones, smartwatches, and other wearable devices don’t have to be shelved or discarded for a newer model. Instead, they could be upgraded with the latest sensors and processors that would snap onto a device’s internal chip — like LEGO bricks incorporated into an existing build. Such reconfigurable chipware could keep devices up to date while reducing our electronic waste.
Now MIT engineers have taken a step toward that modular vision with a LEGO-like design for a stackable, reconfigurable artificial intelligence chip.
The design comprises alternating layers of sensing and processing elements, along with light-emitting diodes (LED) that allow for the chip’s layers to communicate optically. Other modular chip designs employ conventional wiring to relay signals between layers. Such intricate connections are difficult if not impossible to sever and rewire, making such stackable designs not reconfigurable.
The MIT design uses light, rather than physical wires, to transmit information through the chip. The chip can therefore be reconfigured, with layers that can be swapped out or stacked on, for instance to add new sensors or updated processors.
“You can add as many computing layers and sensors as you want, such as for light, pressure, and even smell,” says MIT postdoc Jihoon Kang. “We call this a LEGO-like reconfigurable AI chip because it has unlimited expandability depending on the combination of layers.”
The researchers are eager to apply the design to edge computing devices — self-sufficient sensors and other electronics that work independently from any central or distributed resources such as supercomputers or cloud-based computing.
“As we enter the era of the internet of things based on sensor networks, demand for multifunctioning edge-computing devices will expand dramatically,” says Jeehwan Kim, associate professor of mechanical engineering at MIT. “Our proposed hardware architecture will provide high versatility of edge computing in the future.”
The team’s results were published on June 13, 2022, in the journal Nature Electronics. In addition to Kim and Kang, MIT authors include co-first authors Chanyeol Choi, Hyunseok Kim, and Min-Kyu Song, and contributing authors Hanwool Yeon, Celesta Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, Bo-In Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Subeen Pang, Sang-Hoon Bae, Hun S. Kum, and Peng Lin, along with collaborators from Harvard University, Tsinghua University, Zhejiang University, and elsewhere.
Lighting the way
The team’s design is currently configured to carry out basic image-recognition tasks. It does so via a layering of image sensors, LEDs, and processors made from artificial synapses — arrays of memory resistors, or “memristors,” that the team previously developed, which together function as a physical neural network, or “brain-on-a-chip.” Each array can be trained to process and classify signals directly on a chip, without the need for external software or an Internet connection.
In their new chip design, the researchers paired image sensors with artificial synapse arrays, each of which they trained to recognize certain letters — in this case, M, I, and T. While a conventional approach would be to relay a sensor’s signals to a processor via physical wires, the team instead fabricated an optical system between each sensor and artificial synapse array to enable communication between the layers, without requiring a physical connection.
“Other chips are physically wired through metal, which makes them hard to rewire and redesign, so you’d need to make a new chip if you wanted to add any new function,” says MIT postdoc Hyunseok Kim. “We replaced that physical wire connection with an optical communication system, which gives us the freedom to stack and add chips the way we want.”
The team’s optical communication system consists of paired photodetectors and LEDs, each patterned with tiny pixels. Photodetectors constitute an image sensor for receiving data, and LEDs to transmit data to the next layer. As a signal (for instance an image of a letter) reaches the image sensor, the image’s light pattern encodes a certain configuration of LED pixels, which in turn stimulates another layer of photodetectors, along with an artificial synapse array, which classifies the signal based on the pattern and strength of the incoming LED light.
Stacking up
The team fabricated a single chip, with a computing core measuring about 4 square millimeters, or about the size of a piece of confetti. The chip is stacked with three image recognition “blocks,” each comprising an image sensor, optical communication layer, and artificial synapse array for classifying one of three letters, M, I, or T. They then shone a pixellated image of random letters onto the chip and measured the electrical current that each neural network array produced in response. (The larger the current, the larger the chance that the image is indeed the letter that the particular array is trained to recognize.)
The team found that the chip correctly classified clear images of each letter, but it was less able to distinguish between blurry images, for instance between I and T. However, the researchers were able to quickly swap out the chip’s processing layer for a better “denoising” processor, and found the chip then accurately identified the images.
“We showed stackability, replaceability, and the ability to insert a new function into the chip,” notes MIT postdoc Min-Kyu Song.
The researchers plan to add more sensing and processing capabilities to the chip, and they envision the applications to be boundless.
“We can add layers to a cellphone’s camera so it could recognize more complex images, or makes these into healthcare monitors that can be embedded in wearable electronic skin,” offers Choi, who along with Kim previously developed a “smart” skin for monitoring vital signs.
Another idea, he adds, is for modular chips, built into electronics, that consumers can choose to build up with the latest sensor and processor “bricks.”
“We can make a general chip platform, and each layer could be sold separately like a video game,” Jeehwan Kim says. “We could make different types of neural networks, like for image or voice recognition, and let the customer choose what they want, and add to an existing chip like a LEGO.”
Reference: “Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence” by Chanyeol Choi, Hyunseok Kim, Ji-Hoon Kang, Min-Kyu Song, Hanwool Yeon, Celesta S. Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, Bo-In Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Jaeyong Lee, Ikbeom Jang, Subeen Pang, Kanghyun Ryu, Sang-Hoon Bae, Yifan Nie, Hyun S. Kum, Min-Chul Park, Suyoun Lee, Hyung-Jun Kim, Huaqiang Wu, Peng Lin and Jeehwan Kim, 13 June 2022, Nature Electronics.
DOI: 10.1038/s41928-022-00778-y
This research was supported, in part, by the Ministry of Trade, Industry, and Energy (MOTIE) from South Korea; the Korea Institute of Science and Technology (KIST); and the Samsung Global Research Outreach Program.
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MIT Engineers Build LEGO-Like Reconfigurable Artificial Intelligence Chip
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MIT Engineers Build LEGOLike Reconfigurable Artificial Intelligence Chip Home About Newsletter Trending News Facebook Twitter YouTube Pinterest Newsletter RSS Biology Chemistry Earth Health Physics Science Space Technology Hot Topics June 22, 2022 MIT Engineers Build LEGOLike Reconfigurable Artificial Intelligence Chip June 22, 2022 A New Method Can Prevent Reverse Newborn Brain Injuries June 22, 2022 4 Underrated Vitamins AcneFree Skin June 22, 2022 New Life: NASAs InSight Mars Lander Gets Few Extra Weeks Science Operations June 22, 2022 Chaos Destruction: Dead Stars Cannibalism Its Planetary System Is Most FarReaching Ever Witnessed for: Home Technology News MIT Engineers Build LEGOLike Reconfigurable Artificial Intelligence Chip TOPICS:Artificial IntelligenceElectrical EngineeringMITSemiconductors By Jennifer Chu, Massachusetts Institute Technology June 22, 2022 MIT engineers created reconfigurable AI chip comprises alternating layers sensing processing elements communicate other. Credit: Figure courtesy researchers edited MIT News The new AI chip design stackable reconfigurable, swapping building existing sensors neural network processors. Imagine sustainable future, cellphones, smartwatches, wearable devices dont shelved discarded newer model. Instead, upgraded latest sensors processors snap devices internal chip like LEGO bricks incorporated existing build. Such reconfigurable chipware devices date reducing electronic waste. Now MIT engineers taken step modular vision LEGOlike design stackable, reconfigurable artificial intelligence chip. The design comprises alternating layers sensing processing elements, lightemitting diodes LED allow chips layers communicate optically. Other modular chip designs employ conventional wiring relay signals layers. Such intricate connections difficult impossible sever rewire, making stackable designs reconfigurable. The MIT design uses light, physical wires, transmit information chip. The chip reconfigured, layers swapped stacked on, instance add new sensors updated processors. You add computing layers sensors want, light, pressure, smell, says MIT postdoc Jihoon Kang. We LEGOlike reconfigurable AI chip unlimited expandability depending combination layers. The researchers eager apply design edge computing devices selfsufficient sensors electronics work independently central distributed resources supercomputers cloudbased computing. As enter era internet things based sensor networks, demand multifunctioning edgecomputing devices expand dramatically, says Jeehwan Kim, associate professor mechanical engineering MIT. Our proposed hardware architecture provide high versatility edge computing future. The teams results published June 13, 2022, journal Nature Electronics. In addition Kim Kang, MIT authors include cofirst authors Chanyeol Choi, Hyunseok Kim, MinKyu Song, contributing authors Hanwool Yeon, Celesta Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, BoIn Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Subeen Pang, SangHoon Bae, Hun S. Kum, Peng Lin, collaborators Harvard University, Tsinghua University, Zhejiang University, elsewhere. Lighting way The teams design currently configured carry basic imagerecognition tasks. It layering image sensors, LEDs, processors artificial synapses arrays memory resistors, memristors, team previously developed, function physical neural network, brainonachip. Each array trained process classify signals directly chip, need external software Internet connection. In new chip design, researchers paired image sensors artificial synapse arrays, trained recognize certain letters case, M, I, T. While conventional approach relay sensors signals processor physical wires, team instead fabricated optical sensor artificial synapse array enable communication layers, requiring physical connection. Other chips physically wired metal, makes hard rewire redesign, youd need new chip wanted add new function, says MIT postdoc Hyunseok Kim. We replaced physical wire connection optical communication system, gives freedom stack add chips way want. The teams optical communication consists paired photodetectors LEDs, patterned tiny pixels. Photodetectors constitute image sensor receiving data, LEDs transmit data layer. As signal instance image letter reaches image sensor, images light pattern encodes certain configuration LED pixels, turn stimulates layer photodetectors, artificial synapse array, classifies signal based pattern strength incoming LED light. Stacking The team fabricated single chip, computing core measuring 4 square millimeters, size piece confetti. The chip stacked image recognition blocks, comprising image sensor, optical communication layer, artificial synapse array classifying letters, M, I, T. They shone pixellated image random letters chip measured electrical current neural network array produced response. The larger current, larger chance image letter particular array trained recognize. The team chip correctly classified clear images letter, able distinguish blurry images, instance I T. However, researchers able quickly swap chips processing layer better denoising processor, chip accurately identified images. We showed stackability, replaceability, ability insert new function chip, notes MIT postdoc MinKyu Song. The researchers plan add sensing processing capabilities chip, envision applications boundless. We add layers cellphones camera recognize complex images, makes healthcare monitors embedded wearable electronic skin, offers Choi, Kim previously developed smart skin monitoring vital signs. Another idea, adds, modular chips, built electronics, consumers choose build latest sensor processor bricks. We general chip platform, layer sold separately like video game, Jeehwan Kim says. We different types neural networks, like image voice recognition, let customer choose want, add existing chip like LEGO. Reference: Reconfigurable heterogeneous integration stackable chips embedded artificial intelligence Chanyeol Choi, Hyunseok Kim, JiHoon Kang, MinKyu Song, Hanwool Yeon, Celesta S. Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, BoIn Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Jaeyong Lee, Ikbeom Jang, Subeen Pang, Kanghyun Ryu, SangHoon Bae, Yifan Nie, Hyun S. Kum, MinChul Park, Suyoun Lee, HyungJun Kim, Huaqiang Wu, Peng Lin Jeehwan Kim, 13 June 2022, Nature Electronics. DOI: 10.1038s4192802200778y This research supported, part, Ministry Trade, Industry, Energy MOTIE South Korea; Korea Institute Science Technology KIST; Samsung Global Research Outreach Program. SHARE TWEET REDDIT EMAIL SHARE Previous post More SciTechDaily Technology Engineers Put Tens Thousands Artificial Brain Synapses Single Chip Portable AI Devices Health Human Lung Chip: Fighting Viruses Is As Easy Breathing Technology Optoelectronic Chips Reduce Energy Usage, rease Speed Science MIT Launches Intelligence Quest To Advance Human Machine Intelligence Research Technology New Chip Design Method May Result Miniature Smart Drones Technology New LowPower Chip Will Help Miniature Drones Navigate Technology MIT VelcroLike Food Sensor Detects Spoilage Contamination Could Help Stem Outbreaks Avoid Food Waste Technology New Organ Chip Lets Researchers Study Effects Drugs Disease Be comment MIT Engineers Build LEGOLike Reconfigurable Artificial Intelligence Chip Leave comment Cancel replyEmail address optional. If provided, email published shared.CommentName Email MUST enable javascript able comment SciTechDaily: Home best science technology news 1998. Keep latest scitech news email social media. Popular Articles June 20, 2022 Single Brain Scan Can Diagnose Alzheimers Disease Quickly Accurately New research breakthrough uses machine learning technology look structural features brain, including regions previously associated Alzheimers. The advantage Read More June 20, 2022 Galactic Belly Flop: Mysterious Blue Blobs Reveal New Kind Star System June 20, 2022 419MillionYearOld Chinese Fossil Shows Human Middle Ear Evolved From Fish Gills June 20, 2022 8 AntiAging Vitamins Nutrients That Actually Work, Ranked June 20, 2022 A Common Medication Improves Survival Heart Failure Patients June 20, 2022 Astronomers Discover Evidence Most Powerful Pulsar Distant Galaxy June 19, 2022 Missing Decades: Researchers Identify Over 500 Species As Lost June 19, 2022 New Understanding Earths Architecture: Updated Maps Tectonic Plates TagsAstronomy Astrophysics Behavioral Science Biochemistry Biotechnology Black Hole Brain Cancer Cell Biology Climate Change Cosmology COVID19 Disease DOE Ecology Energy European Space Agency Evolution Exoplanet Genetics Geology HarvardSmithsonian Center Astrophysics Hubble Space Telescope Infectious Diseases JPL Marine Biology Mars Materials Science Max Planck Institute Medicine MIT Nanotechnology NASA NASA Goddard Space Flight Center Neuroscience Oceanography Paleontology Particle Physics Planetary Science Popular Public Health Quantum Physics Vaccine Virology Yale University Follow SciTechDailyFacebook Twitter YouTube Pinterest Newsletter RSS SciTech NewsBiology News Chemistry News Earth News Health News Physics News Science News Space News Technology News Latest News MIT Engineers Build LEGOLike Reconfigurable Artificial Intelligence Chip A New Method Can Prevent Reverse Newborn Brain Injuries 4 Underrated Vitamins AcneFree Skin New Life: NASAs InSight Mars Lander Gets Few Extra Weeks Science Operations Chaos Destruction: Dead Stars Cannibalism Its Planetary System Is Most FarReaching Ever Witnessed Editorial Board Science News Terms Use 1998 2022 SciTechDaily. .
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] | 1 | 197,017 |
https://seekingalpha.com/article/4391467-botz-robotics-and-ai-for-investors?source=feed_all_articles
| 2020-11-25T00:00:00 |
en
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BOTZ: Robotics And AI For Investors (NASDAQ:BOTZ) | Seeking Alpha
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BOTZ: Robotics And AI For Investors (NASDAQ:BOTZ) | Seeking AlphaSeeking AlphaSign inPROMARKETPLACESUBSCRIBE PremiumPremium OverviewCompare Stocks & FundsNotable CallsNews DashboardTop Rated StocksTop Dividend StocksTop REITsTop Growth StocksMy PortfolioAll Portfolios+ Create PortfolioManage Email SummaryManage Real Time Email AlertsMy AuthorsMy AuthorsAuthor Email AlertsTop StocksRatings ScreenerETF ScreenerLatest NewsLatest NewsNotable CallsOn The MoveTop NewsWall Street BreakfastIPO NewsM&A NewsU.S. EconomyTech NewsEnergy NewsHealthcare NewsCrypto NewsTop Movers on EarningsEarnings NewsEarnings CalendarSee All Sections »MarketsMarket OutlookToday’s Market EconomyGold and Precious MetalsCommoditiesForexReal EstateEditors PicksCryptocurrenciesGlobal Investing CenterStock IdeasLong IdeasIPO AnalysisQuick Picks and ListsFund LettersClosed End FundsStock Ideas by SectorStock Ideas Editors PicksShort IdeasDividendsDividend IdeasDividend NewsREITsDividend StrategyDividend Quick PicksDividend ETFsReal Estate ETFsDividend Editors PicksFixed IncomeRetirementETFsETF AnalysisETF ScreenerEditors' PicksLet’s Talk ETFsETF Performance - SectorsETF Performance - CountriesETF Performance - Market CapInvesting StrategyInvesting StrategyEditors' PicksPortfolio StrategyFinancial AdvisorWatch & ListenPodcastsVideosHelp & SupportKnowledge BaseFeedback ForumSeeking AlphaETF Analysis | Tech BOTZ: Robotics And AI For InvestorsNov. 25, 2020 6:29 AM ET|| About: Global X Robotics & Artificial Intelligence Thematic ETF (BOTZ), Includes: ABB, ABLZF, ARKQ, BRKS, FANUF, FANUY, IDRV, ISRG, NVDA, ROBOby: Michael FitzsimmonsMichael Fitzsimmons Technology, ETFs, Renewable Energy, Oil & gas, GoldSummaryThe global robotics and AI markets are expected to grow significantly over the coming years - with EVs and high-performance computing ("HPC") being primary drivers.The BOTZ ETF tracks an index of 31 companies and as a result has a fairly concentrated portfolio.The article analyzes the robotics and AI markets, the fund's holdings, and compares BOTZ's performance to that of its peers.The Global X Robotics & Artificial Intelligence ETF (BOTZ) is a vehicle whereby investors can gain diversified exposure to the increased global adoption of robotics and AI. The sub-sectors include industrial robotics and automation, non-industrial robots, autonomous vehicles, and specialized hardware to enable AI algorithms to make use or large-scale data sets. These markets are growing at a fast-clip and so too should the companies that provide the enabling technologies and are held within the BOTZ portfolio. Market Growth Forecasts According to MarketsandMarkets research, "the industrial robotics market size (including the prices of peripherals, software, and system engineering) is expected to grow from US$48.7 billion in 2019 to US$75.6 billion by 2024, at a Compound Annual Growth Rate ("CAGR") of 9.2%." The global AI market is expected to grow even faster: The global artificial intelligence market size was valued at US$39.9 billion in 2019 and is expected to grow at a compound annual growth rate ("CAGR") of 42.2% from 2020 to 2027. The continuous research and innovation directed by the tech giants are driving the adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing. Source: Grand View Research The robotics and AI markets are closely tied together, which is why large companies like Amazon (AMZN) - which has a specific robotics webpage, Google (GOOG) (NASDAQ:GOOGL) - which has a specific AI webpage, and Apple (AAPL) are making substantial investments in leveraging both technologies.
The BOTZ ETF The BOTZ fund is designed to track the Indxx Global Robotics & Artificial Intelligence Thematic Index. This index has been around for over 10 years and currently includes 31 global companies. BOTZ has an expense ratio of 0.68% and has ~$2 billion in AUM. The sector and geographic breakdown is shown below: Source: Global X No real surprises in the sector breakdown in that IT and Industrials dominate as the most likely to adopt AI and robotics, respectively. On the regional breakdown, Japanese companies equate to 44% of assets, which is not surprising given Japan's history of being the first to use industrial automation at scale. The surprise in the regional breakdown is the absence of Chinese companies in the portfolio given their arguable lead in EV and high-tech manufacturing facilities, 5G, and the resulting aggregation of large data-sets that are fertile ground for AI to sow. Top-10 Holdings The top-10 holdings in the BOTZ ETF are shown below and represent ~63% of the rather concentrated portfolio: Source: Global X Nvidia (NVDA) is the #1 holding with an 8.5% weighting. Nvidia has designed what are arguably the best HPC GPU processors for data centers and for which to run AI algorithms on large data sets. The NVDA AGX System is an open platform that is the AI brain for self-driving vehicles including AI-powered cars, trucks, robotaxis, and shuttles. The company's chips are also used for robotics, drones, and medical imaging.
Source: Fanuc 2019 Annual Report Fanuc Corp. (OTCPK:FANUY) (OTCPK:FANUF) is a Japanese company that makes, sells, and services robots and robomachine tools (see graphic above). It is the #2 holding in BOTZ with an 8% weighting. The graphic comes from the 2019 annual report, but note that full-year 2018 revenue was down significantly in both of the divisions shown above. Intuitive Surgical (ISRG) enables doctors to perform minimally invasive care by the use of robotic-assisted surgery. The company is famous for its da Vinci robotics surgery system. da Vinci has been used in millions of procedures and provides a clear and highly magnified view inside a patient's body using 3-D HD technology to enable surgeries using only a few small incisions rather than the traditional method of ‘open’ surgery. ABB (ABB) is a Swiss-based global company similar to Fanuc in that it also makes, sells, and service industrial-scale robotic and automation equipment. However, ABB is more diversified than is Fanuc and also has significant operations in power and heavy electrical equipment. The three-year performance of a handful of BOTZ's top-10 holdings is shown below: Data by YCharts Note the BOTZ portfolio has been led by Nvidia and Brooks Automation (BRKS), while the fund's large positions in ABB and Fanuc have severely lagged the market over the past three years and well before the pandemic. Performance BOTZ is up 47% over the past year and its performance over the past three years is compared in the graphic below with peers ARK Autonomous Technology & Robotics ETF (ARKQ), the ROBO Global Robotics and Automation Index ETF (ROBO), and the iShares Self-driving EV and Tech ETF (IDRV):
Data by YCharts As can be seen, BOTZ is a middle of the pack performer and has delivered only ~50% of the total returns as compared to the industry-leading ARKQ fund. Summary and Conclusion The idea behind the BOTZ ETF is solid. However, despite the high-weighting in out-performer Nvidia, the index BOTZ tracks appears to be over-weighted in more traditional and slower growth companies like ABB and Fanuc. As a result, its three-year returns significantly lag that of peer ARKQ. As a result, I would recommend investors forsake BOTZ in favor of ARKQ. ARKQ's top holding is Tesla (TSLA), which is not even represented in BOTZ's top 10. That said, investors who think Tesla is overvalued and due for a big pullback might find BOTZ more attractive at the present time.
Disclosure: I am/we are long ARKQ AMZN GOOG. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Additional disclosure: I am an engineer, not a CFA. The information and data presented in this article were obtained from company documents and/or sources believed to be reliable, but have not been independently verified. Therefore, the author cannot guarantee their accuracy. Please do your own research and contact a qualified investment advisor. I am not responsible for the investment decisions you make.Follow Michael Fitzsimmons and get email alerts+Add a commentDisagree with this article? Submit your own.To report a factual error in this article, click here.Your feedback matters to us!Seeking Alpha
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BOTZ: Robotics And AI For Investors (NASDAQ:BOTZ)
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BOTZ: Robotics And AI For Investors NASDAQ:BOTZ Seeking AlphaSeeking AlphaSign inPROMARKETPLACESUBSCRIBE PremiumPremium OverviewCompare Stocks FundsNotable CallsNews DashboardTop Rated StocksTop Dividend StocksTop REITsTop Growth StocksMy PortfolioAll Portfolios Create PortfolioManage Email SummaryManage Real Time Email AlertsMy AuthorsMy AuthorsAuthor Email AlertsTop StocksRatings ScreenerETF ScreenerLatest NewsLatest NewsNotable CallsOn The MoveTop NewsWall Street BreakfastIPO NewsMA NewsU.S. EconomyTech NewsEnergy NewsHealthcare NewsCrypto NewsTop Movers EarningsEarnings NewsEarnings CalendarSee All Sections MarketsMarket OutlookTodays Market EconomyGold Precious MetalsCommoditiesForexReal EstateEditors PicksCryptocurrenciesGlobal Investing CenterStock IdeasLong IdeasIPO AnalysisQuick Picks ListsFund LettersClosed End FundsStock Ideas SectorStock Ideas Editors PicksShort IdeasDividendsDividend IdeasDividend NewsREITsDividend StrategyDividend Quick PicksDividend ETFsReal Estate ETFsDividend Editors PicksFixed omeRetirementETFsETF AnalysisETF ScreenerEditors PicksLets Talk ETFsETF Performance SectorsETF Performance CountriesETF Performance Market CapInvesting StrategyInvesting StrategyEditors PicksPortfolio StrategyFinancial AdvisorWatch ListenPodcastsVideosHelp SupportKnowledge BaseFeedback ForumSeeking AlphaETF Analysis TechBOTZ: Robotics And AI For InvestorsNov. 25, 2020 6:29 AM ET About: Global X Robotics Artificial Intelligence Thematic ETF BOTZ, ludes: ABB, ABLZF, ARKQ, BRKS, FANUF, FANUY, IDRV, ISRG, NVDA, ROBOby: Michael FitzsimmonsMichael Fitzsimmons Technology, ETFs, Renewable Energy, Oil gas, GoldSummaryThe global robotics AI markets expected grow significantly coming years EVs highperformance computing HPC primary drivers.The BOTZ ETF tracks index 31 companies result fairly concentrated portfolio.The article analyzes robotics AI markets, funds holdings, compares BOTZs performance peers.The Global X Robotics Artificial Intelligence ETF BOTZ vehicle investors gain diversified exposure increased global adoption robotics AI. The subsectors include industrial robotics automation, nonindustrial robots, autonomous vehicles, specialized hardware enable AI algorithms use largescale data sets. These markets growing fastclip companies provide enabling technologies held BOTZ portfolio. Market Growth Forecasts According MarketsandMarkets research, industrial robotics market size including prices peripherals, software, engineering expected grow US48.7 billion 2019 US75.6 billion 2024, Compound Annual Growth Rate CAGR 9.2. The global AI market expected grow faster: The global artificial intelligence market size valued US39.9 billion 2019 expected grow compound annual growth rate CAGR 42.2 2020 2027. The continuous research innovation directed tech giants driving adoption advanced technologies industry verticals, automotive, healthcare, retail, finance, manufacturing. Source: Grand View Research The robotics AI markets closely tied together, large companies like Amazon AMZN specific robotics web, Google GOOG NASDAQ:GOOGL specific AI web, Apple AAPL making substantial investments leveraging technologies. The BOTZ ETF The BOTZ fund designed track Indxx Global Robotics Artificial Intelligence Thematic Index. This index 10 years currently includes 31 global companies. BOTZ expense ratio 0.68 2 billion AUM. The sector geographic breakdown shown below: Source: Global X No real surprises sector breakdown IT Industrials dominate likely adopt AI robotics, respectively. On regional breakdown, Japanese companies equate 44 assets, surprising given Japans history use industrial automation scale. The surprise regional breakdown absence Chinese companies portfolio given arguable lead EV hightech manufacturing facilities, 5G, resulting aggregation large datasets fertile ground AI sow. Top10 Holdings The top10 holdings BOTZ ETF shown represent 63 concentrated portfolio: Source: Global X Nvidia NVDA 1 holding 8.5 weighting. Nvidia designed arguably best HPC GPU processors data centers run AI algorithms large data sets. The NVDA AGX System open platform AI brain selfdriving vehicles including AIpowered cars, trucks, robotaxis, shuttles. The companys chips robotics, drones, medical imaging. Source: Fanuc 2019 Annual Report Fanuc Corp. OTCPK:FANUY OTCPK:FANUF Japanese company makes, sells, services robots robomachine tools graphic above. It 2 holding BOTZ 8 weighting. The graphic comes 2019 annual report, note fullyear 2018 revenue significantly divisions shown above. Intuitive Surgical ISRG enables doctors perform minimally invasive care use roboticassisted surgery. The company famous da Vinci robotics surgery system. da Vinci millions procedures provides clear highly magnified view inside patients body 3D HD technology enable surgeries small incisions traditional method open surgery. ABB ABB Swissbased global company similar Fanuc makes, sells, service industrialscale robotic automation equipment. However, ABB diversified Fanuc significant operations power heavy electrical equipment. The threeyear performance handful BOTZs top10 holdings shown below: Data YCharts Note BOTZ portfolio led Nvidia Brooks Automation BRKS, funds large positions ABB Fanuc severely lagged market past years pandemic. Performance BOTZ 47 past year performance past years compared graphic peers ARK Autonomous Technology Robotics ETF ARKQ, ROBO Global Robotics Automation Index ETF ROBO, iShares Selfdriving EV Tech ETF IDRV: Data YCharts As seen, BOTZ middle pack performer delivered 50 total returns compared industryleading ARKQ fund. Summary Conclusion The idea BOTZ ETF solid. However, despite highweighting outperformer Nvidia, index BOTZ tracks appears overweighted traditional slower growth companies like ABB Fanuc. As result, threeyear returns significantly lag peer ARKQ. As result, I recommend investors forsake BOTZ favor ARKQ. ARKQs holding Tesla TSLA, represented BOTZs 10. That said, investors think Tesla overvalued big pullback BOTZ attractive present time. Disclosure: I amwe long ARKQ AMZN GOOG. I wrote article myself, expresses opinions. I receiving compensation Seeking Alpha. I business relationship company stock mentioned article. Additional disclosure: I engineer, CFA. The information data presented article obtained company documents andor sources believed reliable, independently verified. Therefore, author guarantee accuracy. Please research contact qualified investment advisor. I responsible investment decisions make.Follow Michael Fitzsimmons email alertsAdd commentDisagree article? Submit own.To report factual error article, click here.Your feedback matters usSeeking Alpha RSS FeedsAdvertise UsSitemapFeedbackCareers UsTerms UsePrivacyMarket Data Sources 2020 Seeking Alpha
| 2,020 |
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https://shepherdgazette.com/artificial-intelligence-helps-scientists-fight-superbugs-and-breast-cancer-science-and-technology-news/
| 2023-05-27T00:00:00 |
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Artificial intelligence helps scientists fight superbugs and breast cancer | Science and technology news | The Shepherd of the Hills Gazette
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Artificial intelligence helps scientists fight superbugs and breast cancer | Science and technology news | The Shepherd of the Hills Gazette
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Artificial intelligence helps scientists fight superbugs and breast cancer | Science and technology news
By Sammy Edwards
Last updated May 26, 2023
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Research into some diseases is progressing faster with the help of artificial intelligence.
Friday 26 May 2023 01:49 UK
Using artificial intelligence, a new antibiotic has been identified that is able to kill a type of bacteria responsible for many drug-resistant infections.
The new antibiotic was identified by researchers at Massachusetts Institute of Technology and McMaster University from a library of nearly 7,000 potential drug compounds.
The researchers used a machine learning model they trained to assess whether a chemical compound would inhibit the growth of Acinetobacter baumannii.
James Collins of MIT’s Institute for Medical Engineering and Science and Department of Biological Engineering said the research supports the idea that “AI can significantly accelerate and amplify our search for novel antibiotics.”
“I am pleased that this work demonstrates that we can use AI to combat problematic pathogens such as Acinetobacter baumannii.”
Acinetobacter baumannii is common in hospitals and can cause pneumonia, meningitis, and other serious illnesses.
Jonathan Stokes, assistant professor of biochemistry and biomedical sciences at McMaster University, said Acinetobacter can survive on hospital doorknobs and appliances for long periods of time and pick up antibiotic resistance genes from its environment.
“Meanwhile, one often finds Acinetobacter baumannii isolates that are resistant to almost every antibiotic.”
Continue reading:Elon Musk says artificial intelligence is ‘necessary for nothing’AI holds the key to an amazing breakthrough that has allowed paralyzed people to walk againDaily Podcast: Could AI Really Do Your Job?
The researchers plan to use their modeling to identify potential antibiotics for other types of drug-resistant infections and hope such compounds will be developed for use in patients.
Their research is published in Nature Chemical Biology.
Artificial intelligence is also being used in the fight against breast cancer, helping scientists develop a model that can predict whether an aggressive branch of the disease will spread.
The AI model detects changes in the lymph nodes of women with triple-negative breast cancer – one of the first places breast cancer often spreads is the lymph nodes under the arm on the same side, and in these cases patients are likely to need more intensive treatment.
dr Anita Grigoriadis, who led the research at the Breast Cancer Now Unit at King’s College London, said the development would give doctors “another tool in their arsenal to help prevent secondary breast cancer”.
She said: “By demonstrating that lymph node changes can predict whether triple-negative breast cancer is spreading, we have built on our growing knowledge of the important role that the immune response can play in understanding a patient’s prognosis.”
Researchers tested their AI model on more than 5,000 lymph nodes donated to biobanks by 345 patients, and the model was then able to determine the likelihood of breast cancer spreading by analyzing immune response.
Around 15% of all breast cancers in the UK are triple negative and account for around 25% of breast cancer deaths.
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Artificial intelligence helps scientists fight superbugs and breast cancer
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Artificial intelligence helps scientists fight superbugs breast cancer Science technology news The Shepherd Hills Gazette News, Views More Sign Welcome, account. Forget password? Remember Sign Recover password. A password emailed you. Friday, May 26, 2023 The Shepherd Hills Gazette News, Views More Home Top News World Economy Science Tech HomeTechArtificial intelligence helps scientists fight superbugs breast cancer Science technology news Tech Artificial intelligence helps scientists fight superbugs breast cancer Science technology news By Sammy Edwards Last updated May 26, 2023 Share Research diseases progressing faster help artificial intelligence. Friday 26 May 2023 01:49 UK Using artificial intelligence, new antibiotic identified able kill type bacteria responsible drugresistant infections. The new antibiotic identified researchers Massachusetts Institute Technology McMaster University library nearly 7,000 potential drug compounds. The researchers machine learning model trained assess chemical compound inhibit growth Acinetobacter baumannii. James Collins MITs Institute Medical Engineering Science Department Biological Engineering said research supports idea AI significantly accelerate amplify search novel antibiotics. I pleased work demonstrates use AI combat problematic pathogens Acinetobacter baumannii. Acinetobacter baumannii common hospitals cause pneumonia, meningitis, illnesses. Jonathan Stokes, assistant professor biochemistry biomedical sciences McMaster University, said Acinetobacter survive hospital doorknobs appliances long periods time pick antibiotic resistance genes environment. Meanwhile, finds Acinetobacter baumannii isolates resistant antibiotic. Continue reading:Elon Musk says artificial intelligence necessary nothingAI holds key amazing breakthrough allowed paralyzed people walk againDaily Podcast: Could AI Really Do Your Job? The researchers plan use modeling identify potential antibiotics types drugresistant infections hope compounds developed use patients. Their research published Nature Chemical Biology. Artificial intelligence fight breast cancer, helping scientists develop model predict aggressive branch disease spread. The AI model detects changes lymph nodes women triplenegative breast cancer places breast cancer spreads lymph nodes arm side, cases patients likely need intensive treatment. dr Anita Grigoriadis, led research Breast Cancer Now Unit Kings College London, said development doctors tool arsenal help prevent secondary breast cancer. She said: By demonstrating lymph node changes predict triplenegative breast cancer spreading, built growing knowledge important role immune response play understanding patients prognosis. Researchers tested AI model 5,000 lymph nodes donated biobanks 345 patients, model able determine likelihood breast cancer spreading analyzing immune response. Around 15 breast cancers UK triple negative account 25 breast cancer deaths. Share this:TwitterFacebook Related Share Sammy Edwards 37125 posts 0 comments Prev Post Stock markets today: US debt talks, Fed rates, Chinas economy, UBSCredit Suisse Next Post When Donald Trump lands Ireland, cops outnumber fans POLITICO You like More author Tech Tech Continues Rally As Traders Wait For US Debt Deal: Markets Wrap Tech 5 things AI missed today: ChatGPT app expands support, Tech Twitter Gets New List Feature; You know Tech Barclays backs London fintech Trade Ledger 3million Prev Next Comments closed. Scan chance win 1000 instantly Archives May 2023 April 2023 March 2023 February 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 Categories Abortion Aid In Dying airport appeals Busines Business California California Legislature Cars Categories CDC Childrens Health conviction court Courts Crime Denver Denver news Economic Data Economy End Of Life Entertainment fails fuel gear Headlines Health Health Care Health Industry health plus HHS Informed Comments international landing Latest leak Legislation misconduct Multimedia murder Natural Disasters News Nurses overturns planes Prosecutors Public Health Reynolds SBF Science Smith Sport Sports States Tech technology Technology Science Top News topscience Trump Ukraine Uncategorized Vaccines video WinstonSalem Womens Health World World Cup Meta Log Entries feed Comments feed 2023 The Shepherd Hills Gazette. . Website Design: NovelCognition Sign Welcome, account. Forget password? Remember Sign Recover password. A password emailed you.
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https://shepherdgazette.com/microsoft-chief-economist-michael-schwarz-says-ai-will-be-dangerous-in-the-hands-of-bad-actors/
| 2023-05-03T00:00:00 |
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Microsoft chief economist Michael Schwarz says AI will be dangerous in the hands of bad actors | The Shepherd of the Hills Gazette
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Microsoft chief economist Michael Schwarz says AI will be dangerous in the hands of bad actors | The Shepherd of the Hills Gazette
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Microsoft chief economist Michael Schwarz says AI will be dangerous in the hands of bad actors
By Sammy Edwards
Last updated May 3, 2023
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Microsoft chief economist Michael Schwarz says AI will be dangerous in the hands of bad actors
Michael Schwarz warned that AI needs to be regulated.
A view shows a Microsoft logo at the Microsoft France headquarters in Issy-les-Moulineaux near Paris, France, January 25, 2023. (Image: Reuters/Gonzalo Fuentes)Listen to this article
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With tools like ChatGPT and Bing Image Creator becoming mainstream, people are finding new and innovative ways to implement them in their workflows every day. But not everything is roses. Microsoft chief economist Michael Schwarz has claimed that artificial intelligence will be dangerous in the hands of unscrupulous people.
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“I’m confident that AI will be used by bad actors, and yes, it will do real harm,” Schwarz said at the World Economic Forum panel in Geneva on Wednesday. He added that in the hands of spammers, it can wreak havoc on elections and other matters of public interest. AI must be regulated, he warned, but only after the technology has done “real harm.”
“Once we see real harm, we have to ask the simple question, ‘Can we regulate this in a way that makes the good things that this regulation prevents less important?” said Schwarz. “The principles should be that the benefits of regulation to our society should outweigh the costs to our society.”
Microsoft is currently investing heavily in AI and has already added generative AI technology to its search engine and other products. Schwarz said the company is taking steps to prevent AI from leaving the guard rails. However, he also warned that policymakers should be careful not to directly regulate AI training sets, as doing so would be “pretty disastrous”.
AI tools like ChatGPT have come under increased scrutiny lately as politicians and governments seek to regulate generative AI. At the end of March, the Italian data protection regulator even banned ChatGPT due to concerns about illegal collection of personal data and the lack of guard rails to prevent minors from using the chatbot. However, the ban was recently reversed when OpenAI caved in to the board’s demands.
On Thursday, US Vice President Kamala Harris meets with the CEOs of Microsoft, Alphabet and OpenAI to discuss how to mitigate the potential dangers of AI technologies.
But despite the risks, Schwarz remains confident that AI will revolutionize the way most companies work, although it may take time.
“I like to say that AI doesn’t change anything in the short term, but everything in the long term,” Schwarz said. “That’s true of every single technology that’s come before.”
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First publication on: 03-05-2023 at 17:15 IST
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Microsoft chief economist Michael Schwarz says AI will be dangerous in the hands of bad actors
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Microsoft chief economist Michael Schwarz says AI dangerous hands bad actors The Shepherd Hills Gazette News, Views More Sign Welcome, account. Forget password? Remember Sign Recover password. A password emailed you. Wednesday, May 3, 2023 The Shepherd Hills Gazette News, Views More Home Top News World Economy Science Tech HomeTechMicrosoft chief economist Michael Schwarz says AI dangerous hands bad actors Tech Microsoft chief economist Michael Schwarz says AI dangerous hands bad actors By Sammy Edwards Last updated May 3, 2023 Share News technology Artificial intelligence Microsoft chief economist Michael Schwarz says AI dangerous hands bad actors Michael Schwarz warned AI needs regulated. A view shows Microsoft logo Microsoft France headquarters IssylesMoulineaux near Paris, France, January 25, 2023. Image: ReutersGonzalo FuentesListen article Your browser support audio element. With tools like ChatGPT Bing Image Creator mainstream, people finding new innovative ways implement workflows day. But roses. Microsoft chief economist Michael Schwarz claimed artificial intelligence dangerous hands unscrupulous people. You exhausted monthly limit free stories. To read on,simply register log Read story special discount digital access plan. Now Rs 100 month. This premium item free now. continue reading story. This content exclusive subscribers. unlimited access The Indian Express exclusive premium stories. This content exclusive subscribers. Sign unlimited access The Indian Express exclusive premium stories. Im confident AI bad actors, yes, real harm, Schwarz said World Economic Forum panel Geneva Wednesday. He added hands spammers, wreak havoc elections matters public interest. AI regulated, warned, technology real harm. Once real harm, ask simple question, Can regulate way makes good things regulation prevents important? said Schwarz. The principles benefits regulation society outweigh costs society. Microsoft currently investing heavily AI added generative AI technology search engine products. Schwarz said company taking steps prevent AI leaving guard rails. However, warned policymakers careful directly regulate AI training sets, pretty disastrous. AI tools like ChatGPT come increased scrutiny lately politicians governments seek regulate generative AI. At end March, Italian data protection regulator banned ChatGPT concerns illegal collection personal data lack guard rails prevent minors chatbot. However, ban recently reversed OpenAI caved boards demands. On Thursday, US Vice President Kamala Harris meets CEOs Microsoft, Alphabet OpenAI discuss mitigate potential dangers AI technologies. But despite risks, Schwarz remains confident AI revolutionize way companies work, time. I like AI doesnt change short term, long term, Schwarz said. Thats true single technology thats come before. IE Online Media Services Pvt Ltd First publication on: 03052023 17:15 IST Share this:TwitterFacebook Related Share Sammy Edwards 35716 posts 0 comments Prev Post 4 CEOs inflation, rates development economy Next Post RSF warns great volatility press freedom given impact deception industry You like More author Tech The latest Google TV update boosts performance, reduces app size, introduces app Tech Scientists use brain scans AI decode thoughts. Tech FCA simplify IPO rules Arm snubs London Tech Can small nuclear reactors overcome resistance? Prev Next Comments closed. Scan chance win 1000 instantly Archives May 2023 April 2023 March 2023 February 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 Categories Abortion Aid In Dying airport appeals Busines Business California California Legislature Cars Categories CDC Childrens Health conviction court Courts Crime Denver Denver news Economic Data Economy End Of Life Entertainment fails fuel gear Headlines Health Health Care Health Industry health plus HHS Informed Comments international landing Latest leak Legislation misconduct Multimedia murder Natural Disasters News Nurses overturns planes Prosecutors Public Health Reynolds SBF Science Smith Sport Sports States Tech technology Technology Science Top News topscience Trump Ukraine Uncategorized Vaccines video WinstonSalem Womens Health World World Cup Meta Log Entries feed Comments feed 2023 The Shepherd Hills Gazette. . Website Design: NovelCognition Sign Welcome, account. Forget password? Remember Sign Recover password. A password emailed you.
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Airbnb's AI Future
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Airbnb’s AI Future
Skift
May 7th, 2023 at 8:29 AM EDT
Skift Take
In a week dominated by earnings, headlines about Airbnb's AI future and IHG's CEO succession led the discussion in the travel industry.
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Airbnb’s announcement that it would return to its roots – in a way – and improve the shared-space experience was overshadowed by the claims its CEO made that artificial intelligence would radically change the service over the coming year. Conversations about AI were part of nearly every earnings call this week and, if they weren’t, you had to wonder if the company was soon to be left behind. Keep track of everything AI- and travel-related with our weekly AI newsletter.
Week in Review
Airbnb CEO Interview: How AI Will Radically Change the Company
The AI-driven Airbnb is coming, so watch its trajectory of launches later this year and mid next year. Chesky promises it will be a whole different service by next year.
More: What Will Airbnb Launch Beyond Its Travel Core?
IHG CEO Keith Barr Steps Down
Under Barr, IHG shook off years of brand cobwebs and expanded its portfolio. Like Barr, Maalouf comes into the CEO role with years of brand experience that can serve him well.
More: Every One of IHG’s 17 Hotel Brands, Explained
Sabre Is Cutting 15 Percent of Its Workforce
Big tech companies everywhere have been dropping staff, and now it’s Sabre’s turn. This may also be a result of a permanently changed travel industry post-pandemic and Sabre’s effort to keep up.
After Sonder, Vacasa Receives Notice of Delisting from Nasdaq
Like Sonder, Vacasa is another example of a company that went public way too early via a special purpose acquisition company, or SPAC, merger.
Marriott to Include Resort Fees In Total Prices
We wish hotel companies and online travel agencies were as innovative in providing much-touted personalization as they are in inventing extra fees customers struggle to avoid.
Tripadvisor CEO’s New Strategy Comes Into Focus
In football or soccer — pick your sport/analogy — sometimes it takes a new coach to get momentum. Under its new CEO, Tripadvisor is making significant changes to its core products.
Lufthansa Sees Record Summer Revenue Thanks to Capacity Limits
Things are looking good in Frankfurt. The Lufthansa Group, Europe’s largest network carrier, sees all the elements falling into place for a significant improvement in operating profits this year.
Rising Prices See Travelers Changing Summer Travel Plans: Survey
Survey data for summer travel plans and bookings suggest the so-called revenge spending from savings during the pandemic might be waning, as consumers are less keen to indulge themselves with extravagant vacations.
Booking Holdings Sees Next-Gen AI as Advancing the Connected Trip
Any changes the next wave of artificial intelligence might bring will not be instantaneous. Booking Holdings has time to act to sustain its current position in online travel.
Chart of the Week
In the Skit Research report Business Travelers: A Multi-Country Survey we aim to explore business travelers’ attitudes towards new ways of working and traveling for business in the evolving environment influenced by the pandemic.
Read the Full Report
Listen Now
What will be Alan Joyce’s legacy at Qantas? Edward Russell and Jay Shabat discuss Joyce’s legacy and the challenges that confront incoming CEO Vanessa Hudson.
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Airbnbs AI Future Javascript required site display correctly. search News Latest News Latest News Skift Megatrends 2023 Travel News Blog News By Sector Hotels Tourism Online Travel Airlines ShortTerm Rentals Artificial Intelligence Business Travel See All Sectors Stay Connected Free Skift Newsletters Skift Podcasts Airline Weekly News Skift Meetings News Daily Lodging Report Skift ProAccess exclusive travel research, data insights, surveys Now Events Upcoming Events Skift ShortTerm Rental Summit Skift Global Forum Skift Aviation Forum Skift Global Forum East View All Events Event Information r Access Sponsorship Opportunities Frequently Asked Questions Event Highlights Research Latest Research Hotel Tech Benchmark: Central Reservation Systems 2023 Generative AIs Impact Travel Business Travelers: A MultiCountry Survey Report Research By Sector Tourism Technology Hospitality Consumer Habits See All Sectors Featured Tools Travel Company Tracker Travel Health Index Hotel Tech Benchmark Skift ResearchAccess exclusive travel research, data insights, surveys Now Advertise Get Access search person Announcements Airbnbs AI Future Skift May 7th, 2023 8:29 AM EDT Skift Take In week dominated earnings, headlines Airbnbs AI future IHGs CEO succession led discussion travel industry. Skift Share Airbnbs announcement return roots way improve sharedspace experience overshadowed claims CEO artificial intelligence radically change service coming year. Conversations AI nearly earnings week and, werent, wonder company soon left behind. Keep track AI travelrelated withour weekly AI newsletter. Week Review Airbnb CEO Interview: How AI Will Radically Change Company The AIdriven Airbnb coming, watch trajectory launches later year mid year. Chesky promises different service year. More:What Will Airbnb Launch Beyond Its Travel Core? IHG CEO Keith Barr Steps Down Under Barr, IHG shook years brand cobwebs expanded portfolio. Like Barr, Maalouf comes CEO role years brand experience serve well. More:Every One IHGs 17 Hotel Brands, Explained Sabre Is Cutting 15 Percent Its Workforce Big tech companies dropping staff, Sabres turn. This result permanently changed travel industry postpandemic Sabres effort up. After Sonder, Vacasa Receives Notice Delisting Nasdaq Like Sonder, Vacasa example company went public way early special purpose acquisition company, SPAC, merger. Marriott lude Resort Fees In Total Prices We wish hotel companies online travel agencies innovative providing muchtouted personalization inventing extra fees customers struggle avoid. Tripadvisor CEOs New Strategy Comes Into Focus In football soccer pick sportanalogy takes new coach momentum. Under new CEO, Tripadvisor making significant changes core products. Lufthansa Sees Record Summer Revenue Thanks Capacity Limits Things looking good Frankfurt. The Lufthansa Group, Europes largest network carrier, sees elements falling place significant improvement operating profits year. Rising Prices See Travelers Changing Summer Travel Plans: Survey Survey data summer travel plans bookings suggest socalled revenge spending savings pandemic waning, consumers keen indulge extravagant vacations. Booking Holdings Sees NextGen AI Advancing Connected Trip Any changes wave artificial intelligence bring instantaneous. Booking Holdings time act sustain current position online travel. Chart Week In Skit Research report Business Travelers: A MultiCountry Survey aim explore business travelers attitudes new ways working traveling business evolving environment influenced pandemic. Read Full Report Listen Now What Alan Joyces legacy Qantas? Edward Russell Jay Shabat discuss Joyces legacy challenges confront incoming CEO Vanessa Hudson. newspaper Skift Daily Newsletter Get travel industrys daily mustread email 6 days week Share Skift May 7th, 2023 8:29 AM EDT Loading story Up Next Loading stories Travel Sectors Tourism Online Travel Hotels ShortTerm Rentals Airlines Business Travel Meetings Tour Operators See All Skift Brands Skift Meetings Airline Weekly Daily Lodging Report Skift Research Skift Live About Skift About Skift Where Find Us Media Resources The Team Careers Facebook Instagram Twitter LinkedIn YouTube Email Help Center 2023 Skift
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Home Articles How Will The Healthcare Industry Evolve As AI Improves?
How Will The Healthcare Industry Evolve As AI Improves?
By Special to SouthFloridaReporter.com - Apr 29, 2023
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The healthcare industry is on the cusp of a major transformation, driven by the rapid advancements in artificial intelligence (AI) and machine learning technologies. As AI continues to improve, it is poised to revolutionize the way healthcare is delivered, making it more efficient, personalized, and accessible.
This article will explore the various ways in which AI is expected to reshape the healthcare industry, from diagnostics and treatment to patient care and beyond.
Diagnostics and Treatment
Powered Imaging and Diagnostics
One of the most promising applications of AI in healthcare is in the field of diagnostics. AI-powered imaging and diagnostic tools have the potential to significantly improve the accuracy and speed of disease detection. For example, AI algorithms can analyze medical images, such as X-rays, CT scans, and MRIs, to identify patterns and abnormalities that may be indicative of a particular condition.
Companies like Scorpion Biological Services are at the forefront of this revolution, developing AI-powered diagnostic tools that can help healthcare professionals make more informed decisions about patient care. By leveraging AI, these tools can quickly and accurately analyze vast amounts of data, enabling doctors to diagnose diseases earlier and with greater precision.
Personalized Treatment Plans
AI can also play a crucial role in developing personalized treatment plans for patients. By analyzing a patient’s medical history, genetic information, and other relevant data, AI algorithms can identify the most effective treatment options for a specific individual. This can lead to better patient outcomes and more efficient use of healthcare resources.
Drug Discovery and Development
The process of discovering and developing new drugs is notoriously time-consuming and expensive. AI has the potential to streamline this process by analyzing large datasets to identify potential drug candidates, predict their effectiveness, and optimize their chemical structures. This can help pharmaceutical companies bring new drugs to market more quickly and at a lower cost.
Patient Care and Monitoring
Remote Patient Monitoring
As AI technology continues to improve, remote patient monitoring is becoming an increasingly viable option for healthcare providers. AI-powered devices can collect and analyze patient data in real-time, allowing doctors to monitor their patient’s health from a distance. This can be particularly beneficial for patients with chronic conditions, as it enables healthcare providers to detect potential issues early and intervene before they become more serious.
Virtual Health Assistants
AI-powered virtual health assistants can help patients manage their health more effectively by providing personalized advice and support. These assistants can analyze a patient’s medical history, lifestyle, and other factors to provide tailored recommendations for diet, exercise, and medication adherence. This can help patients take a more active role in their healthcare and improve their overall health outcomes.
AI-Enabled Telemedicine
Telemedicine has already begun to transform the way healthcare is delivered, and AI has the potential to take this even further. AI-powered telemedicine platforms can analyze patient data, diagnose conditions, and recommend treatment options, all without the need for an in-person consultation. This can make healthcare more accessible, particularly for patients in remote or underserved areas.
Healthcare Administration and Management
Streamlining Administrative Tasks
AI can help to streamline administrative tasks in healthcare, such as appointment scheduling, billing, and insurance claims processing. By automating these tasks, healthcare providers can reduce the time and resources spent on administrative work, allowing them to focus more on patient care.
Predictive Analytics for Resource Management
AI-powered predictive analytics can help healthcare organizations optimize their resource management by forecasting patient demand and identifying potential bottlenecks in their operations. This can enable healthcare providers to allocate their resources more effectively, ensuring that patients receive the care they need when they need it.
Ethical Considerations and Challenges
Data Privacy and Security
As AI becomes more integrated into healthcare, concerns about data privacy and security are likely to grow. Healthcare providers must ensure that patient data is stored securely and that AI algorithms are designed to protect patient privacy.
Bias and Fairness
AI algorithms are only as good as the data they are trained on, and if that data is biased, the resulting AI models may also be biased. Healthcare providers must be vigilant in ensuring that their AI tools are trained on diverse and representative datasets to ensure that they provide fair and accurate results for all patients.
Regulation and Oversight
As AI continues to transform healthcare, there will likely be a need for increased regulation and oversight to ensure that these technologies are used responsibly and ethically. Healthcare providers and policymakers must work together to develop guidelines and standards for the use of AI in healthcare.
The healthcare industry is poised for a major transformation as AI technology continues to improve. From diagnostics and treatment to patient care and administration, AI has the potential to revolutionize every aspect of healthcare, making it more efficient, personalized, and accessible. However, as with any new technology, there are also challenges and ethical considerations that must be addressed.
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How Will The Healthcare Industry Evolve As AI Improves?
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How Will The Healthcare Industry Evolve As AI Improves? South Florida Reporter HOME News Coronavirus Environmental Health Car Reviews Consumer Attractions Entertainment People Restaurants Food Reviews Today Is Video Wine Reviews Who We Are Our Partners Us South Florida Reporter HOME News Coronavirus Environmental Health Car Reviews Consumer Attractions Entertainment People Restaurants Food Reviews Today Is Video Wine Reviews Home Articles How Will The Healthcare Industry Evolve As AI Improves? How Will The Healthcare Industry Evolve As AI Improves? By Special Apr 29, 2023 Facebook Twitter Pinterest WhatsApp Linkedin ReddIt The healthcare industry cusp major transformation, driven rapid advancements artificial intelligence AI machine learning technologies. As AI continues improve, poised revolutionize way healthcare delivered, making efficient, personalized, accessible. This article explore ways AI expected reshape healthcare industry, diagnostics treatment patient care beyond. Diagnostics Treatment Powered Imaging Diagnostics One promising applications AI healthcare field diagnostics. AIpowered imaging diagnostic tools potential significantly improve accuracy speed disease detection. For example, AI algorithms analyze medical images, Xrays, CT scans, MRIs, identify patterns abnormalities indicative particular condition. Companies like Scorpion Biological Services forefront revolution, developing AIpowered diagnostic tools help healthcare professionals informed decisions patient care. By leveraging AI, tools quickly accurately analyze vast amounts data, enabling doctors diagnose diseases earlier greater precision. Personalized Treatment Plans AI play crucial role developing personalized treatment plans patients. By analyzing patients medical history, genetic information, relevant data, AI algorithms identify effective treatment options specific individual. This lead better patient outcomes efficient use healthcare resources. Drug Discovery Development The process discovering developing new drugs notoriously timeconsuming expensive. AI potential streamline process analyzing large datasets identify potential drug candidates, predict effectiveness, optimize chemical structures. This help pharmaceutical companies bring new drugs market quickly lower cost. Patient Care Monitoring Remote Patient Monitoring As AI technology continues improve, remote patient monitoring increasingly viable option healthcare providers. AIpowered devices collect analyze patient data realtime, allowing doctors monitor patients health distance. This particularly beneficial patients chronic conditions, enables healthcare providers detect potential issues early intervene serious. Virtual Health Assistants AIpowered virtual health assistants help patients manage health effectively providing personalized advice support. These assistants analyze patients medical history, lifestyle, factors provide tailored recommendations diet, exercise, medication adherence. This help patients active role healthcare improve overall health outcomes. AIEnabled Telemedicine Telemedicine begun transform way healthcare delivered, AI potential further. AIpowered telemedicine platforms analyze patient data, diagnose conditions, recommend treatment options, need inperson consultation. This healthcare accessible, particularly patients remote underserved areas. Healthcare Administration Management Streamlining Administrative Tasks AI help streamline administrative tasks healthcare, appointment scheduling, billing, insurance claims processing. By automating tasks, healthcare providers reduce time resources spent administrative work, allowing focus patient care. Predictive Analytics Resource Management AIpowered predictive analytics help healthcare organizations optimize resource management forecasting patient demand identifying potential bottlenecks operations. This enable healthcare providers allocate resources effectively, ensuring patients receive care need need it. Ethical Considerations Challenges Data Privacy Security As AI integrated healthcare, concerns data privacy security likely grow. Healthcare providers ensure patient data stored securely AI algorithms designed protect patient privacy. Bias Fairness AI algorithms good data trained on, data biased, resulting AI models biased. Healthcare providers vigilant ensuring AI tools trained diverse representative datasets ensure provide fair accurate results patients. Regulation Oversight As AI continues transform healthcare, likely need increased regulation oversight ensure technologies responsibly ethically. Healthcare providers policymakers work develop guidelines standards use AI healthcare. The healthcare industry poised major transformation AI technology continues improve. From diagnostics treatment patient care administration, AI potential revolutionize aspect healthcare, making efficient, personalized, accessible. However, new technology, challenges ethical considerations addressed. Facebook Twitter Pinterest WhatsApp Linkedin ReddIt Special RELATED ARTICLESMORE FROM AUTHOR Napping Longer Than 30 Minutes Linked To Higher Risk Of Obesity And High Blood Pressure Mayo Clinic Minute: Tips For Protecting Babies From Harmful UV Rays A Tasty Meal HeartHealthy Summer Video Recipe Americans Confidence Comfortable Retirement Is Plunging Due Inflation A Few Critical Insights About Noise Cancellation Technologies Mayo Clinic Minute: Signs And Symptoms Of Asthma Video Join Our Newsletter Want daily news updates? Just add email youre list. We spam you. Please enable JavaScript browser complete form.Email Here For South Florida Reporter Americas best resource research decide new car, truck, SUV. Welcome South Florida Reporter, goto source news information Sunshine State. EVEN MORE NEWS Sun, Showers And A Few Storms Apr 29, 2023 There Are 4.5 Billion Zippers Consumed In The U.S. Per Year.... Apr 29, 2023 Napping Longer Than 30 Minutes Linked To Higher Risk Of Obesity... Apr 29, 2023 POPULAR CATEGORYConsumer5116Articles3357Weather2945Health2892Today Is2578Video2427News1946 Who We Are Our Partners Terms Use Us 20152022 South Florida Reporter. Powered By: Randa Media Join Our Newsletter Sign receive news right inbox day Close Please enable JavaScript browser complete form.Email Now
| 2,023 |
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https://soylentnews.org/article.pl?sid=23/06/28/022210&from=rss
| 2023-06-29T00:00:00 |
en
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Person Who Made the Windows 3.1 Port of Wordle is Back With a ChatGPT Client - SoylentNews
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Person Who Made the Windows 3.1 Port of Wordle is Back With a ChatGPT Client - SoylentNews
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Freeman
https://arstechnica.com/gadget s/2023/06/wingpt-is-a-windows- 3-1-ai-chatbot-for-your-old-ib m-compatible-desktop/
more and more places in Windows 11
WinGPT
16-bit port of the WolfSSL library
Original Submission
More /dev/random stories
More The Main Page stories
Also by hubie
23/06/28/022210
story
Person Who Made the Windows 3.1 Port of Wordle is Back With a ChatGPT Client
posted by
hubie
on Thursday June 29, @05:01AM
from the what's-old-is-new-again dept.
Freeman writes:https://arstechnica.com/gadgets/2023/06/wingpt-is-a-windows-3-1-ai-chatbot-for-your-old-ibm-compatible-desktop/Microsoft is working to integrate ChatGPT-based technology into more and more places in Windows 11, but it isn't doing the same for older versions of Windows. Those of you with an old Windows 3.1 or Windows 95 PC can breathe easy, though, because the same developer who created the Windows 3.1 version of Wordle has returned with a Windows 3.1 ChatGPT client called WinGPT.
.[...] An even bigger problem with getting any Internet-connected software running on old 16- and 32-bit versions of Windows in 2023 is that most of the modern web is encrypted, and older operating systems don't support modern SSL/TLS protocols. Many Internet-connected retro projects, including browsers and chat clients, rely on some kind of proxy to get around this, using a modern system to talk to the internet and decrypt data, and passing that decrypted data to the old PC on your local network.To get WinGPT working without a proxy, the Dialup.net developer has also developed a 16-bit port of the WolfSSL library to support TLS 1.2 and 1.3 connections on the ancient operating system. This port is, as the developer says, "not secure, not reliable, and there is no warranty," and it should be used for entertainment purposes only. The port doesn't verify security certificates and uses "a fake random number generator" to function.
Original Submission
« James Webb Space Telescope Detects Methyl Cation (Carbon Compound) in Protoplanetary Disk
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Person Who Made the Windows 3.1 Port of Wordle is Back With a ChatGPT Client
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Person Who Made Windows 3.1 Port Wordle Back With ChatGPT Client SoylentNews Stories Slash Boxes Comments SoylentNews SoylentNews people Navigation About FAQ Journals Topics Authors Polls Hall Fame Submit Story Subs Queue Buy Gift Sub Create Account Log In Sections SoylentNews Breaking News Community Reviews Meta Politics SoylentNews Twitter IRC Wiki Whos Who? Bug List Dev Server Log In Log In Nickname Password Public Terminal Create Account Retrieve Password Gift Subscription Why Gift Related Links SoylentNews Freeman s202306wingptisawindows 31aichatbotforyouroldib mcompatibledesktop places Windows 11 WinGPT 16bit port WolfSSL library Original Submission More devrandom stories More The Main Page stories Also hubie 230628022210 story Person Who Made Windows 3.1 Port Wordle Back With ChatGPT Client posted hubie Thursday June 29, whatsoldisnewagain dept. Freeman writes: working integrate ChatGPTbased technology places Windows 11, isnt older versions Windows. Those old Windows 3.1 Windows 95 PC breathe easy, though, developer created Windows 3.1 version Wordle returned Windows 3.1 ChatGPT client called WinGPT. .[...] An bigger problem getting Internetconnected software running old 16 32bit versions Windows 2023 modern web encrypted, older operating systems dont support modern SSLTLS protocols. Many Internetconnected retro projects, including browsers chat clients, rely kind proxy this, modern talk internet decrypt data, passing decrypted data old PC local network.To WinGPT working proxy, developer developed 16bit port WolfSSL library support TLS 1.2 1.3 connections ancient operating system. This port is, developer says, secure, reliable, warranty, entertainment purposes only. The port doesnt verify security certificates uses fake random number generator function. Original Submission James Webb Space Telescope Detects Methyl Cation Carbon Compound Protoplanetary Disk This discussion created hubie 1068 loggedin users only. Log try Person Who Made Windows 3.1 Port Wordle Back With ChatGPT Client Log InCreate Account Top Discussion Display Options ThresholdBreakthrough 1: 0 comments 0: 0 comments 1: 0 comments 2: 0 comments 3: 0 comments 4: 0 comments 5: 0 comments 1: 0 comments 0: 0 comments 1: 0 comments 2: 0 comments 3: 0 comments 4: 0 comments 5: 0 comments Flat No Comments ThreadedTNG ThreadedTOS Oldest First Newest First Mark All Read Mark All Unread The Fine Print: The following comments owned posted them. We responsible way. Moderator Help Alright, Imitate WOUNDED SEAL pleading PARKING SPACE Home About FAQ Journals Topics Authors Polls Submit Story Buy Gift Sub Create Account Log In
| 2,023 |
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] | 1 | 197,023 |
https://steamdb.info/patchnotes/7578322/
| 2021-10-22T00:00:00 |
en
|
Small AI Update · Haunted Shores update for 22 October 2021 · SteamDB
|
Small AI Update · Haunted Shores update for 22 October 2021 · SteamDB
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Haunted Shores update for 22 October 2021
Small AI Update
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View all patches · Build 7578322 · Last edited 22 October 2021 – 01:52:05 UTC
by Wendy
Patchnotes via Steam Community
Small AI Update
Changed files in this update
Haunted Shores Content
Depot 1706971
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Small AI Update Haunted Shores update 22 October 2021 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Enter appid redirected app . Enter steamid 765... redirected calculator. Paste profile link id profiles redirected calculator. Paste url contains app, sub, bundle, depot redirected relevant . Click outside search field close popup. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Realtime updates Recent price changes Valve game servers Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Free promotions Rankings Top rated games Top game owners Top profile levels Top selling games Most followed games Most wishlisted games Profile badges Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam.All times site UTC. M toggle menu focus search Haunted Shores update 22 October 2021 Small AI Update Share View patches Build 7578322 Last edited 22 October 2021 01:52:05 UTC Wendy Patchnotes Steam Community Small AI Update Changed files update Haunted Shores Content Depot 1706971 Loading history SteamDB running adfree 2012.Find contribute. SteamDB xPaw Enable dark modeDisable dark mode About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Realtime updates Recent price changes Valve game servers Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Free promotions Rankings Top rated games Top game owners Top profile levels Top selling games Most followed games Most wishlisted games Profile badges Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. For SteamDB function correctly, JavaScript enabled.
| 2,021 |
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https://sunrisenigeria.com/news/10008/global-shockwave-therapy-device-market-by-type-application-manufacturers-and-forecast-to-2020-2025-boston-scientific-corporation-c-r-bard-inc-dornier-medtech-gmbh-lumenis-ltd/
| 2021-07-24T00:00:00 |
en
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Global Shockwave Therapy Device Market by Type, Application, Manufacturers and Forecast to 2020-2025 | Boston Scientific Corporation, C.R. Bard Inc., Dornier MedTech GmbH, Lumenis Ltd. – Sunrise Nigeria
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Global Shockwave Therapy Device Market by Type, Application, Manufacturers and Forecast to 2020-2025 | Boston Scientific Corporation, C.R. Bard Inc., Dornier MedTech GmbH, Lumenis Ltd. – Sunrise Nigeria
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Global Shockwave Therapy Device Market by Type, Application, Manufacturers and Forecast to 2020-2025 | Boston Scientific Corporation, C.R. Bard Inc., Dornier MedTech GmbH, Lumenis Ltd.
1 hour ago
reporthive
“
” Shockwave Therapy Device Market 2020: Latest Analysis”
Chicago, United States:- The report titled Global Shockwave Therapy Device Market is one of the most comprehensive and important additions to Report Hive Research’s archive of market research studies. It offers detailed research and analysis of key aspects of the global Shockwave Therapy Device market. The market analysts authoring this report have provided in-depth information on leading growth drivers, restraints, challenges, trends, and opportunities to offer a complete analysis of the global Shockwave Therapy Device market. Market participants can use the analysis on market dynamics to plan effective growth strategies and prepare for future challenges beforehand. Each trend of the global Shockwave Therapy Device market is carefully analyzed and researched about by the market analysts. The market analysts and researchers have done extensive analysis of the global Shockwave Therapy Device market with the help of research methodologies such as PESTLE and Porter’s Five Forces analysis. They have provided accurate and reliable market data and useful recommendations with an aim to help the players gain an insight into the overall present and future market scenario. The Shockwave Therapy Device report comprises in-depth study of the potential segments including product type, application, and end user and their contribution to the overall market size.
Global Shockwave Therapy Device Market report offers a detailed Outlook and future prospects of the Industry. The Shockwave Therapy Device Market report includes various topics like market size & share, Product types, applications, key market drivers & restraints, challenges, growth opportunities, key players, competitive landscape.
Top Players of Shockwave Therapy Device Market are Studied: Boston Scientific Corporation, C.R. Bard Inc., Dornier MedTech GmbH, Lumenis Ltd., Medtrue Enterprise Co. Ltd., Olympus Corporation, Cook Group Inc., Edaptms TMS, Siemens AG, Karl Storz
Download Free Sample PDF (including full TOC, Tables, and Figures) of Shockwave Therapy Device Market Research 2020-2026:- @
Competitive landscape is a critical aspect every key player needs to be familiar with. The report throws light on the competitive scenario of the global Shockwave Therapy Device market to know the competition at both the domestic and global levels. Market experts have also offered the outline of every leading player of the global Shockwave Therapy Device market, considering the key aspects such as areas of operation, production, and product portfolio. Additionally, companies in the report are studied based on the key factors such as company size, market share, market growth, revenue, production volume, and profits.
NOTE:Due to the pandemic, we have included a special section on the Impact of COVID 19 on the Shockwave Therapy Device Market which would mention How the Covid-19 is Affecting the Shockwave Therapy Device Industry, Market Trends and Potential Opportunities in the COVID-19 Landscape, Covid-19 Impact on Key Regions and Proposal for Shockwave Therapy Device Players to Combat Covid-19 Impact.
Our exploration specialists acutely ascertain the significant aspects of the global Shockwave Therapy Device market report. It also provides an in-depth valuation in regards to the future advancements relying on the past data and present circumstance of Shockwave Therapy Device market situation. In this Shockwave Therapy Device report, we have investigated the principals, players in the market, geological regions, product type, and market end-client applications. The global Shockwave Therapy Device report comprises of primary and secondary data which is exemplified in the form of pie outlines, Shockwave Therapy Device tables, analytical figures, and reference diagrams. The Shockwave Therapy Device report is presented in an efficient way that involves basic dialect, basic Shockwave Therapy Device outline, agreements, and certain facts as per solace and comprehension.
Segmentation by Application:
Hospitals
Physiotherapy Centers
Clinics
Radiology Labs
Others
Segmentation by Type:
Mobile Shock Wave Therapy Devices
Fixed Shock Wave Therapy Devices
The Essential Content Covered in the Global Shockwave Therapy Device Market Report :
* Top Key Company Profiles.
* Main Business and Rival Information
* SWOT Analysis and PESTEL Analysis
* Production, Sales, Revenue, Price and Gross Margin
* Market Share and Size
Regional Coverage: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Some Main Reasons For Purchasing This Report:
✔ Readers of this report will receive in-depth knowledge about the market.
✔Updated statistics offered on the global Shockwave Therapy Device market report.
✔This report provides an insight into the market that will help you boost your company’s business and sales activities.
✔It will help you to find prospective partners and suppliers.
✔It will assist and strengthen your company’s decision-making processes.
Get Full Customize report or for any Special Discount [email protected] @ https://www.reporthive.com/request_customization/2527150
Table of Contents
Market Overview: This is the first section of the report that includes an overview of the scope of products offered in the global Shockwave Therapy Device market, segments by product and application, and market size.
Market Competition by Player: Here, the report shows how the competition in the global Shockwave Therapy Device market is growing or decreasing based on deep analysis of market concentrate rate, competitive situations and trends, expansions, merger and acquisition deals, and other subjects. It also shows how different companies are progressing in the global Shockwave Therapy Device market in terms of revenue, production, sales, and market share.
Company Profiles and Sales Data: This part of the report is very important as it gives statistical as well as other types of analysis of leading manufacturers in the global Shockwave Therapy Device market. It assesses each and every player studied in the report on the basis of main business, gross margin, revenue, sales, price, competitors, manufacturing base, product specification, product application, and product category.
Market Status and Outlook by Region: The report studies the status and outlook of different regional markets such as Europe, North America, the MEA, Asia Pacific, and South America. All of the regional markets researched about in the report are examined based on price, gross margin, revenue, production, and sales. Here, the size and CAGR of the regional markets are also provided.
Market by Product: This section carefully analyzes all product segments of the global Shockwave Therapy Device market.
Market by Application: Here, various application segments of the global Shockwave Therapy Device market are taken into account for research study.
Market Forecast: It starts with revenue forecast and then continues with sales, sales growth rate, and revenue growth rate forecasts of the global Shockwave Therapy Device market. The forecasts are also provided taking into consideration product, application, and regional segments of the global Shockwave Therapy Device market.
Upstream Raw Materials: This section includes industrial chain analysis, manufacturing cost structure analysis, and key raw materials analysis of the global Shockwave Therapy Device market.
Marketing Strategy Analysis, Distributors: Here, the research study digs deep into behavior and other factors of downstream customers, distributors, development trends of marketing channels, and marketing channels such as indirect marketing and direct marketing.
Research Findings and Conclusion: This section is solely dedicated to the conclusion and findings of the research study on the global Shockwave Therapy Device market.
Appendix: This is the last section of the report that focuses on data sources, viz. primary and secondary sources, market breakdown and data triangulation, market size estimation, research programs and design, research approach and methodology, and the publisher’s disclaimer.
Get Free Sample Copy of this report: https://www.reporthive.com/request_sample/2527150
Why Go For Report Hive Research?
Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis and forecast data on products and services, markets and companies. Our clientele ranges mix of global business leaders, government organizations, SME’s, individuals and Start-ups, top management consulting firms, universities, etc. Our library of 700,000 + reports targets high growth emerging markets in the USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy and Power, Manufacturing, Automotive and Transportation, Food and Beverages, etc. This large collection of insightful reports assists clients to stay ahead of time and competition. We help in business decision-making on aspects such as market entry strategies, market sizing, market share analysis, sales and revenue, technology trends, competitive analysis, product portfolio, and application analysis, etc.
Shockwave Therapy Device Market Forecast, Shockwave Therapy Device Market Trends, Shockwave Therapy Device Market Research, Shockwave Therapy Device , Shockwave Therapy Device Market Analysis, Shockwave Therapy Device application, Shockwave Therapy Device Market CAGR Competitive Landscape, Shockwave Therapy Device Market Growth
Get in Touch with Us :
Report Hive Research
Website: https://www.reporthive.com
Email: [email protected]
Speak to Research Analyst: +1-312-604-7084″
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Global Shockwave Therapy Device Market by Type, Application, Manufacturers and Forecast to 2020-2025
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Global Shockwave Therapy Device Market Type, Application, Manufacturers Forecast 20202025 Boston Scientific Corporation, C.R. Bard ., Dornier MedTech GmbH, Lumenis Ltd. Sunrise Nigeria Skip content Sunrise Nigeria Primary Menu Sunrise Nigeria Business Energy Space Market Reports All News for: News Space Global Shockwave Therapy Device Market Type, Application, Manufacturers Forecast 20202025 Boston Scientific Corporation, C.R. Bard ., Dornier MedTech GmbH, Lumenis Ltd. 1 hour ago reporthive Shockwave Therapy Device Market 2020: Latest Analysis Chicago, United States: The report titled Global Shockwave Therapy Device Market comprehensive important additions Report Hive Researchs archive market research studies. It offers detailed research analysis key aspects global Shockwave Therapy Device market. The market analysts authoring report provided indepth information leading growth drivers, restraints, challenges, trends, opportunities offer complete analysis global Shockwave Therapy Device market. Market participants use analysis market dynamics plan effective growth strategies prepare future challenges beforehand. Each trend global Shockwave Therapy Device market carefully analyzed researched market analysts. The market analysts researchers extensive analysis global Shockwave Therapy Device market help research methodologies PESTLE Porters Five Forces analysis. They provided accurate reliable market data useful recommendations aim help players gain insight overall present future market scenario. The Shockwave Therapy Device report comprises indepth study potential segments including product type, application, end user contribution overall market size. Global Shockwave Therapy Device Market report offers detailed Outlook future prospects Industry. The Shockwave Therapy Device Market report includes topics like market size share, Product types, applications, key market drivers restraints, challenges, growth opportunities, key players, competitive landscape. Top Players Shockwave Therapy Device Market Studied: Boston Scientific Corporation, C.R. Bard ., Dornier MedTech GmbH, Lumenis Ltd., Medtrue Enterprise Co. Ltd., Olympus Corporation, Cook Group ., Edaptms TMS, Siemens AG, Karl Storz Download Free Sample PDF including TOC, Tables, Figures Shockwave Therapy Device Market Research 20202026: @ Competitive landscape critical aspect key player needs familiar with. The report throws light competitive scenario global Shockwave Therapy Device market know competition domestic global levels. Market experts offered outline leading player global Shockwave Therapy Device market, considering key aspects areas operation, production, product portfolio. Additionally, companies report studied based key factors company size, market share, market growth, revenue, production volume, profits. NOTE:Due pandemic, included special section Impact COVID 19 Shockwave Therapy Device Market mention How Covid19 Affecting Shockwave Therapy Device Industry, Market Trends Potential Opportunities COVID19 Landscape, Covid19 Impact Key Regions Proposal Shockwave Therapy Device Players Combat Covid19 Impact. Our exploration specialists acutely ascertain significant aspects global Shockwave Therapy Device market report. It provides indepth valuation regards future advancements relying past data present circumstance Shockwave Therapy Device market situation. In Shockwave Therapy Device report, investigated principals, players market, geological regions, product type, market endclient applications. The global Shockwave Therapy Device report comprises primary secondary data exemplified form pie outlines, Shockwave Therapy Device tables, analytical figures, reference diagrams. The Shockwave Therapy Device report presented efficient way involves basic dialect, basic Shockwave Therapy Device outline, agreements, certain facts solace comprehension. Segmentation Application: Hospitals Physiotherapy Centers Clinics Radiology Labs Others Segmentation Type: Mobile Shock Wave Therapy Devices Fixed Shock Wave Therapy Devices The Essential Content Covered GlobalShockwave Therapy Device Market Report: Top Key Company Profiles. Main Business Rival Information SWOT Analysis PESTEL Analysis Production, Sales, Revenue, Price Gross Margin Market Share Size Regional Coverage: North America United States, Canada Mexico, Europe Germany, France, UK, Russia Italy, AsiaPacific China, Japan, Korea, India Southeast Asia, South America Brazil, Argentina, Colombia etc., Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Some Main Reasons For Purchasing This Report: Readers report receive indepth knowledge market. Updated statistics offered global Shockwave Therapy Device market report. This report provides insight market help boost companys business sales activities. It help prospective partners suppliers. It assist strengthen companys decisionmaking processes. Get Full Customize report Special Discount [emailprotected] @ Table Contents Market Overview: This section report includes overview scope products offered global Shockwave Therapy Device market, segments product application, market size. Market Competition Player: Here, report shows competition global Shockwave Therapy Device market growing decreasing based deep analysis market concentrate rate, competitive situations trends, expansions, merger acquisition deals, subjects. It shows different companies progressing global Shockwave Therapy Device market terms revenue, production, sales, market share. Company Profiles Sales Data: This report important gives statistical types analysis leading manufacturers global Shockwave Therapy Device market. It assesses player studied report basis main business, gross margin, revenue, sales, price, competitors, manufacturing base, product specification, product application, product category. Market Status Outlook Region: The report studies status outlook different regional markets Europe, North America, MEA, Asia Pacific, South America. All regional markets researched report examined based price, gross margin, revenue, production, sales. Here, size CAGR regional markets provided. Market Product: This section carefully analyzes product segments global Shockwave Therapy Device market. Market Application: Here, application segments global Shockwave Therapy Device market taken account research study. Market Forecast: It starts revenue forecast continues sales, sales growth rate, revenue growth rate forecasts global Shockwave Therapy Device market. The forecasts provided taking consideration product, application, regional segments global Shockwave Therapy Device market. Upstream Raw Materials: This section includes industrial chain analysis, manufacturing cost structure analysis, key raw materials analysis global Shockwave Therapy Device market. Marketing Strategy Analysis, Distributors: Here, research study digs deep behavior factors downstream customers, distributors, development trends marketing channels, marketing channels indirect marketing direct marketing. Research Findings Conclusion: This section solely dedicated conclusion findings research study global Shockwave Therapy Device market. Appendix: This section report focuses data sources, viz. primary secondary sources, market breakdown data triangulation, market size estimation, research programs design, research approach methodology, publishers disclaimer. Get Free Sample Copy report: Why Go For Report Hive Research? Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis forecast data products services, markets companies. Our clientele ranges mix global business leaders, government organizations, SMEs, individuals Startups, management consulting firms, universities, etc. Our library 700,000 reports targets high growth emerging markets USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy Power, Manufacturing, Automotive Transportation, Food Beverages, etc. This large collection insightful reports assists clients stay ahead time competition. We help business decisionmaking aspects market entry strategies, market sizing, market share analysis, sales revenue, technology trends, competitive analysis, product portfolio, application analysis, etc. Shockwave Therapy Device Market Forecast, Shockwave Therapy Device Market Trends, Shockwave Therapy Device Market Research, Shockwave Therapy Device , Shockwave Therapy Device Market Analysis, Shockwave Therapy Device application, Shockwave Therapy Device Market CAGR Competitive Landscape, Shockwave Therapy Device Market Growth Get Touch Us : Report Hive Research Website: Email: [emailprotected] Speak Research Analyst: 13126047084 Continue Reading Previous Trending now: Covid19 impact Hair Curler Market Segmentation, Analysis Recent Trends, Development Growth Regions GELOON, Panasonic, Braun, EliteNext Nephrostomy Catheters Market redible Possibilities, Growth Analysis Forecast To 2025 Amecath, Argon Medical Devices, Bard Medical, Boston Scientific More Stories News Space Nephrostomy Catheters Market redible Possibilities, Growth Analysis Forecast To 2025 Amecath, Argon Medical Devices, Bard Medical, Boston Scientific 26 mins ago reporthive News Space Trending now: Covid19 impact Hair Curler Market Segmentation, Analysis Recent Trends, Development Growth Regions GELOON, Panasonic, Braun, Elite 2 hours ago reporthive News Space Spinal Cord Stimulation System Market Regional Overview Development Analysis 2025 Medtronic, Boston Scientific Corporation, St. Jude Medical, Nevro Corp 3 hours ago reporthive for: Recent Posts Nephrostomy Catheters Market redible Possibilities, Growth Analysis Forecast To 2025 Amecath, Argon Medical Devices, Bard Medical, Boston Scientific Global Shockwave Therapy Device Market Type, Application, Manufacturers Forecast 20202025 Boston Scientific Corporation, C.R. Bard ., Dornier MedTech GmbH, Lumenis Ltd. Trending now: Covid19 impact Hair Curler Market Segmentation, Analysis Recent Trends, Development Growth Regions GELOON, Panasonic, Braun, Elite Spinal Cord Stimulation System Market Regional Overview Development Analysis 2025 Medtronic, Boston Scientific Corporation, St. Jude Medical, Nevro Corp NonInvasive Blood Pressure Monitors Market redible Possibilities, Growth Analysis Forecast To 2025 Bionics Corporation, BMV Technology, Nasan Medical Electronics, Promed Group Blogs You missed News Space Nephrostomy Catheters Market redible Possibilities, Growth Analysis Forecast To 2025 Amecath, Argon Medical Devices, Bard Medical, Boston Scientific 26 mins ago reporthive News Space Global Shockwave Therapy Device Market Type, Application, Manufacturers Forecast 20202025 Boston Scientific Corporation, C.R. Bard ., Dornier MedTech GmbH, Lumenis Ltd. 1 hour ago reporthive News Space Trending now: Covid19 impact Hair Curler Market Segmentation, Analysis Recent Trends, Development Growth Regions GELOON, Panasonic, Braun, Elite 2 hours ago reporthive News Space Spinal Cord Stimulation System Market Regional Overview Development Analysis 2025 Medtronic, Boston Scientific Corporation, St. Jude Medical, Nevro Corp 3 hours ago reporthive News Space NonInvasive Blood Pressure Monitors Market redible Possibilities, Growth Analysis Forecast To 2025 Bionics Corporation, BMV Technology, Nasan Medical Electronics, Promed Group 4 hours ago reporthive . CoverNews AF themes.
| 2,021 |
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HomeData EducationData ArticlesWhere Data Governance Must Focus in AI Era
Where Data Governance Must Focus in AI EraPublished: July 5, 202312:15 amAuthor Robert S. Seiner
In today’s rapidly changing and advancing world of artificial intelligence (AI), generative AI, and large language models (LLMs), data has become the lifeblood of innovation. Data fuels algorithms, powers decision-making processes, and shapes the future impact of technology.
By formalizing existing levels of accountability (truly a non-invasive approach), respecting people’s privacy, promoting ethical practices, and preserving individual autonomy, data governance ensures that we leverage the power of AI while safeguarding values that are most important.
The implementation of data governance provides organizations with a framework to address the challenges associated with AI, generative AI, and LLMs. By prioritizing individual autonomy, ethical practices, and privacy protection, data governance ensures that organizations can leverage the power of these technologies while mitigating risks such as privacy breaches, algorithmic bias, misuse of data, lack of transparency, and social implications. It establishes guidelines for responsible data collection, anonymization techniques, and stringent access controls, fostering trust among users and stakeholders.
Effective data governance promotes transparency and accountability, enabling organizations to develop AI systems that align with core values and respect individual rights. Through data governance, organizations can navigate the complexities of AI and harness its potential while adhering to the ethical principles of responsible innovation.
Respecting
Privacy and Data Protection
In an age where personal information is becoming more vulnerable, data governance serves as a protector against the loss of privacy. By prioritizing data protection, we empower individuals to maintain control over their personal information. This approach guarantees that their data is collected, used, and shared in a manner that respects their rights and expectations.
Artificial intelligence and large language models thrive on vast amounts of data. However, the pursuit of innovation must not come at the expense of personal privacy. Data governance strikes a balance between progress and privacy by implementing robust security measures, data anonymization techniques, and stringent access controls. By doing so, we can build a culture of trust, ensuring that individuals feel safe to participate in the AI-driven world without fear of exploitation or unauthorized intrusion.
Ethical Practices and Accountability
In recent years, the ethical implications of AI have come to the forefront of public discussion. Data governance reinforces the importance of adhering to ethical practices in the development and deployment of AI systems. Transparency and accountability should be the pillars upon which AI technologies are built.
Generative AI and large language models have the ability to create and manipulate human-like content. This power must be wielded responsibly. Data governance requires developers and organizations to embed ethical guidelines within the AI systems themselves, ensuring that these technologies align with society’s values and do not increase biases or the delivery of misinformation.
Data governance formalizes accountability. It emphasizes the need for explainability and interpretability, enabling individuals to understand how AI systems arrive at their conclusions. By fostering transparency, we empower users to challenge and rectify potential biases or errors, thereby creating a more inclusive and fair AI landscape.
Preserving Autonomy
Data governance recognizes the importance of individual autonomy in an AI-driven world. It seeks to empower individuals with the ability to exercise control over their own data and determine how it is utilized. By placing decision-making power in the hands of data subjects, we uphold the fundamental principles of self-determination and personal agency.
In the context of large language models and generative AI, data governance prevents the creation of digital doppelgängers without explicit consent. It acknowledges that individuals should have the right to decide how their likeness or voice is used, protecting them from potential manipulation or unauthorized exploitation.
Data governance encourages the development of user-centric AI systems. By engaging individuals in the design and implementation process, we can ensure that AI technologies align with their needs and desires. This approach fosters a sense of ownership and inclusivity, as people become active participants rather than passive subjects in the AI landscape.
Application Examples and Benefits
Here are some additional examples to illustrate the benefits of data governance in the context of AI, generative AI, and large language models:
Healthcare and Medical Research: Data governance ensures that sensitive medical data, such as patient records and genetic information, are protected while still allowing for advancements in AI-driven diagnostics and treatment. It enables researchers to leverage anonymized data sets to identify patterns, develop personalized therapies, and improve healthcare outcomes without compromising patient privacy.Financial Services: Data governance plays a crucial role in the financial sector, where customer data is highly sensitive. By implementing strong security measures and data anonymization techniques, financial institutions can leverage AI to detect fraud, manage risk, and enhance customer experiences while safeguarding sensitive financial information.Education and Personalized Learning: In the field of education, data governance allows for the development of personalized learning experiences while respecting student privacy. By leveraging AI and large language models, educators can analyze anonymized data to identify individual learning needs, provide tailored feedback, and enhance educational outcomes without compromising the privacy of students.Smart Cities and Urban Planning: Data governance facilitates the use of AI in smart city initiatives. By collecting and analyzing anonymized data from various sources such as sensors and IoT devices, urban planners can gain insights into traffic patterns, energy consumption, and public safety. This information can be used to optimize city infrastructure, improve resource allocation, and enhance the quality of life for residents, all while respecting their privacy rights.Environmental Sustainability: Data governance plays a crucial role in leveraging AI and large language models to address environmental challenges. By analyzing aggregated and anonymized data, researchers can gain insights into climate patterns, wildlife behavior, and ecological systems. This knowledge can be used to develop sustainable practices, mitigate environmental risks, and promote conservation efforts without compromising sensitive ecological information.
These examples demonstrate the practical applications of data governance across various sectors, highlighting the balance between technological advancements and the protection of privacy, ethics, and individual autonomy. By adopting this approach, we can unleash the full potential of AI while ensuring that it serves the best interests of society as a whole.
Risks and Challenges
While the examples mentioned above showcase the potential benefits of data governance in AI applications, it is essential to acknowledge the associated risks and challenges. Here are some potential risks:
Despite implementing data governance measures, there is always a risk of privacy breaches. Hackers or malicious actors may attempt to exploit vulnerabilities in AI systems or data infrastructure, leading to unauthorized access to sensitive information. Comprehensive security protocols and continuous monitoring are necessary to mitigate this risk.
AI systems, including large language models, can inadvertently amplify existing biases present in the data they are trained on. Data governance alone may not be sufficient to address this issue. Careful consideration must be given to data selection, preprocessing, and ongoing monitoring to ensure fairness and prevent discriminatory outcomes.
Despite ethical guidelines and governance practices, there is a risk that organizations or individuals may misuse data for unauthorized purposes. This could involve re-identification of anonymized data, unauthorized sharing or selling of personal information, or using data beyond the intended scope. Strict data usage policies and legal frameworks must be in place to prevent such misuse.
To mitigate risk, a comprehensive approach is necessary. It involves a combination of strong technical safeguards, transparent governance frameworks, ongoing monitoring and auditing, and public participation to ensure that the benefits of AI are maximized while the associated risks are minimized.
Conclusion
As we embrace the transformative power of AI, generative AI, and LLMs, data governance emerges as a compelling framework to guide our path forward. Data governance must uphold privacy, promote ethical practices, and preserve individual autonomy. By embracing data governance as part of accepting and utilizing these technologies, we can harness the potential of AI while safeguarding the values and principles that define us as a society. We must strive for a future where innovation and respect for human rights go hand in hand, and where the ethical deployment of AI technologies becomes the norm.
AIdata governanceNIDGseiner
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Robert S. SeinerRobert (Bob) S. Seiner is the President and Principal of KIK Consulting & Educational Services and the Publisher of The Data Administration Newsletter (TDAN.com). Seiner is a thought-leader in the fields of data governance and metadata management. KIK (which stands for “knowledge is king”) offers consulting, mentoring and educational services focused on Non-Invasive Data Governance, data stewardship, data management and metadata management solutions. Seiner is the author of the industry’s top selling book on data governance – Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success (Technics Publications 2014) and the followup book - Non-Invasive Data Governance Strikes Again: Gaining Experience and Perspective (Technics 2023), and has hosted the popular monthly webinar series on data governance called Real-World Data Governance (w Dataversity) since 2012. Seiner holds the position of Adjunct Faculty and Instructor for the Carnegie Mellon University Heinz College Chief Data Officer Executive Education program. KIK Consulting is celebrating its 20th year in business while TDAN.com has been actively published for close to 25 years.
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Where Data Governance Must Focus in AI Era
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Where Data Governance Must Focus AI Era MenuMenu Home Articles Columns Features Blogs News Events Resources NonInvasive Data Governance Online Training Bookstore White Papers KIK Consulting Educational Services DATAVERSITY Archives Strategy Governance Architecture Data Mgmt Quality Modeling Operations Metadata MDM BI Applications Big Data HomeData EducationData ArticlesWhere Data Governance Must Focus AI Era Where Data Governance Must Focus AI EraPublished:July 5, 202312:15 amAuthor Robert S. Seiner In todays rapidly changing advancing world artificial intelligence AI, generative AI, large language models LLMs, data lifeblood innovation. Data fuels algorithms, powers decisionmaking processes, shapes future impact technology. By formalizing existing levels accountability truly noninvasive approach, respecting peoples privacy, promoting ethical practices, preserving individual autonomy, data governance ensures leverage power AI safeguarding values important. The implementation data governance provides organizations framework address challenges associated AI, generative AI, LLMs. By prioritizing individual autonomy, ethical practices, privacy protection, data governance ensures organizations leverage power technologies mitigating risks privacy breaches, algorithmic bias, misuse data, lack transparency, social implications. It establishes guidelines responsible data collection, anonymization techniques, stringent access controls, fostering trust users stakeholders. Effective data governance promotes transparency accountability, enabling organizations develop AI systems align core values respect individual rights. Through data governance, organizations navigate complexities AI harness potential adhering ethical principles responsible innovation. Respecting Privacy Data Protection In age personal information vulnerable, data governance serves protector loss privacy. By prioritizing data protection, empower individuals maintain control personal information. This approach guarantees data collected, used, shared manner respects rights expectations. Artificial intelligence large language models thrive vast amounts data. However, pursuit innovation come expense personal privacy. Data governance strikes balance progress privacy implementing robust security measures, data anonymization techniques, stringent access controls. By so, build culture trust, ensuring individuals feel safe participate AIdriven world fear exploitation unauthorized intrusion. Ethical Practices Accountability In recent years, ethical implications AI come forefront public discussion. Data governance reinforces importance adhering ethical practices development deployment AI systems. Transparency accountability pillars AI technologies built. Generative AI large language models ability create manipulate humanlike content. This power wielded responsibly. Data governance requires developers organizations embed ethical guidelines AI systems themselves, ensuring technologies align societys values increase biases delivery misinformation. Data governance formalizes accountability. It emphasizes need explainability interpretability, enabling individuals understand AI systems arrive conclusions. By fostering transparency, empower users challenge rectify potential biases errors, creating inclusive fair AI landscape. Preserving Autonomy Data governance recognizes importance individual autonomy AIdriven world. It seeks empower individuals ability exercise control data determine utilized. By placing decisionmaking power hands data subjects, uphold fundamental principles selfdetermination personal agency. In context large language models generative AI, data governance prevents creation digital doppelgngers explicit consent. It acknowledges individuals right decide likeness voice used, protecting potential manipulation unauthorized exploitation. Data governance encourages development usercentric AI systems. By engaging individuals design implementation process, ensure AI technologies align needs desires. This approach fosters sense ownership inclusivity, people active participants passive subjects AI landscape. Application Examples Benefits Here additional examples illustrate benefits data governance context AI, generative AI, large language models: Healthcare Medical Research: Data governance ensures sensitive medical data, patient records genetic information, protected allowing advancements AIdriven diagnostics treatment. It enables researchers leverage anonymized data sets identify patterns, develop personalized therapies, improve healthcare outcomes compromising patient privacy.Financial Services: Data governance plays crucial role financial sector, customer data highly sensitive. By implementing strong security measures data anonymization techniques, financial institutions leverage AI detect fraud, manage risk, enhance customer experiences safeguarding sensitive financial information.Education Personalized Learning: In field education, data governance allows development personalized learning experiences respecting student privacy. By leveraging AI large language models, educators analyze anonymized data identify individual learning needs, provide tailored feedback, enhance educational outcomes compromising privacy students.Smart Cities Urban Planning: Data governance facilitates use AI smart city initiatives. By collecting analyzing anonymized data sources sensors IoT devices, urban planners gain insights traffic patterns, energy consumption, public safety. This information optimize city infrastructure, improve resource allocation, enhance quality life residents, respecting privacy rights.Environmental Sustainability: Data governance plays crucial role leveraging AI large language models address environmental challenges. By analyzing aggregated anonymized data, researchers gain insights climate patterns, wildlife behavior, ecological systems. This knowledge develop sustainable practices, mitigate environmental risks, promote conservation efforts compromising sensitive ecological information. These examples demonstrate practical applications data governance sectors, highlighting balance technological advancements protection privacy, ethics, individual autonomy. By adopting approach, unleash potential AI ensuring serves best interests society whole. Risks Challenges While examples mentioned showcase potential benefits data governance AI applications, essential acknowledge associated risks challenges. Here potential risks: Despite implementing data governance measures, risk privacy breaches. Hackers malicious actors attempt exploit vulnerabilities AI systems data infrastructure, leading unauthorized access sensitive information. Comprehensive security protocols continuous monitoring necessary mitigate risk. AI systems, including large language models, inadvertently amplify existing biases present data trained on. Data governance sufficient address issue. Careful consideration given data selection, preprocessing, ongoing monitoring ensure fairness prevent discriminatory outcomes. Despite ethical guidelines governance practices, risk organizations individuals misuse data unauthorized purposes. This involve reidentification anonymized data, unauthorized sharing selling personal information, data intended scope. Strict data usage policies legal frameworks place prevent misuse. To mitigate risk, comprehensive approach necessary. It involves combination strong technical safeguards, transparent governance frameworks, ongoing monitoring auditing, public participation ensure benefits AI maximized associated risks minimized. Conclusion As embrace transformative power AI, generative AI, LLMs, data governance emerges compelling framework guide path forward. Data governance uphold privacy, promote ethical practices, preserve individual autonomy. By embracing data governance accepting utilizing technologies, harness potential AI safeguarding values principles define society. We strive future innovation respect human rights hand hand, ethical deployment AI technologies norm. AIdata governanceNIDGseiner Post navigation Previous Previous post: Five Whys Data Cleansing Share postTweet Robert S. SeinerRobert Bob S. Seiner President Principal KIK Consulting Educational Services Publisher The Data Administration Newsletter . Seiner thoughtleader fields data governance metadata management. KIK stands knowledge king offers consulting, mentoring educational services focused NonInvasive Data Governance, data stewardship, data management metadata management solutions. Seiner author industrys selling book data governance NonInvasive Data Governance: The Path Least Resistance Greatest Success Technics Publications 2014 followup book NonInvasive Data Governance Strikes Again: Gaining Experience Perspective Technics 2023, hosted popular monthly webinar series data governance called RealWorld Data Governance w Dataversity 2012. Seiner holds position Adjunct Faculty Instructor Carnegie Mellon University Heinz College Chief Data Officer Executive Education program. KIK Consulting celebrating 20th year business actively published close 25 years. View posts Robert S. Seiner for: Follow :twitterfacebooklinkedinAdvertisements Upcoming EventsRWDG Webinar: How Govern Glossaries, Dictionaries, Data Catalogs 07202023RWDG Webinar: One Data Governance All Master Data luded 08172023Quote Week Without clean data, clean data, data science worthless. Michael Stonebraker, adjunct professor, MIT Popular Posts Universal Data Vault: Case Study Combining Universal Data Model Patterns Data Vault Architecture Part 1Published: November 1, 201512:20 amUpdated: 5:06 amAuthor John Giles Data Modeling Data GovernancePublished: August 1, 201512:45 amUpdated: October 2, 201510:05 pmAuthor Robert S. Seiner Data Warehouse Design Inmon versus KimballPublished: September 1, 20161:20 amUpdated: March 15, 20198:29 amAuthor Sakthi Rangarajan The Digital TransformerPublished: August 1, 201512:40 amUpdated: April 29, 20169:31 amAuthor Charles Betz Understand Relational Understand Secrets DataPublished: May 3, 20171:00 amUpdated: May 2, 201712:22 pmAuthor Ted Hills Tagsagile AI algmin analytics artificial intelligence bi big data business glossary business intelligence DAMA data data analytics data architecture database data catalog data centric data governance data management data model data modeling data quality data science data security data steward data stewardship Data Strategy data warehouse DGPO EDM framework hoberman machine learning mccomb mecca Metadata mullins NIDG noninvasive data governance obrien oneil privacy project management security seiner stewardship 1997 2023 The Data Administration Newsletter, LLC All trademarks registered trademarks appearing property respective owners. About About Us Advertise With Us Write For Us Disclaimer Community Upcoming Events Articles Columns Features Blogs Newsletters Archives Published Robert S. Seiner rseiner KIK Consulting Produced By: DATAVERSITY Digital LLC info All trademarks registered trademarks appearing property respective owners. About Us Press Room Terms Of Service Advertise With Us DATAVERSITY Community Conferences Upcoming Webinars Data Jobs Whitepapers Blogs By Industry Experts Articles News Newsletters RSS Feeds DATAVERSITY Productions DATAVERSITY Training Center Concept Object Modeling Notation COMN The Data Administration Newsletter scroll We use technologies cookies understand use site provide better user experience. This includes personalizing content, analytics improving site operations. We share information use site parties accordance . You change cookie settings described time, parts site function correctly them. By continuing use site, agree save cookies device, disabled cookies. I Accept
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Home Opinion AI and employment: Is ChatGPT Coming for Entry-Level Jobs?
AI and employment: Is ChatGPT Coming for Entry-Level Jobs?
Fear has been expressed by many that ChatGPT can cause job loss on a massive scale. Well, generative AI will change work for young workers but their reasoning skills will still be needed.
By:BLOOMBERG
| Updated on: Sep 04 2023, 20:47 IST
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The first years of my career in media were spent making photocopies, collecting faxes and filing papers. I also opened reader mail, took notes on meetings and ran errands for my bosses — picking up everything from skim lattes to control-top Donna Karan tights.I've been thinking back to those dues-paying days recently due to an onslaught of depressing research about how generative AI, the technology that includes image and text creation tools like ChatGPT, could hurt the career prospects of Gen Z. If it transforms or even takes over typical entry-level tasks in professional occupations — building spreadsheets, writing first drafts or creating presentations — what will happen to jobs for younger workers? At first blush, the outlook is bleak. Long before generative AI was a buzzword, entry-level jobs were becoming tougher to land. The Great Recession caused a spike in the un- and under-employment rate for recent graduates. Younger workers have smaller networks, which makes job-searching tougher. And many employers have simply decided they don't want to bother with brand-new workers. A 2018 analysis of almost 100,000 job postings found that most “entry-level” jobs required three or more years of experience. Employers don't want to invest time and money in training. That's short-sighted, but it's a trend entry-level workers have been fighting for decades.Some say that AI will compound these problems. Not only will there be fewer professional jobs to go around, but as more of those tasks are automated, young workers will miss out on learning opportunities and fail to build the skills they need to advance.It's a fair concern, but it's probably too gloomy. “I don't buy the doomsday scenarios at all,” says Amit Joshi, a professor who studies artificial intelligence at IMD business school in Lausanne, Switzerland. He says it's more likely that AI will raise the benchmark for what an entry-level worker can achieve. Instead of taking a week to analyze and summarize 50 academic papers, a research assistant using ChatGPT might only need a day to synthesize the core points and check for errors.Tsedal Neeley, a professor at Harvard Business School, agrees. “For young people, what you're going to see is that they're going to be able to perform better at their jobs. They're going to be able to contribute more.” It's not only that a PowerPoint that used to take four hours to build might now be completed in an hour. It's that the young workers who struggled with basic writing and coding will now have a tool that helps them get to a higher minimum standard.If entry-level workers get that much faster and better, won't companies be able to get by with fewer of them? Maybe. Those are among the reasons that studies from Pew and Brookings flag entry-level workers as particularly at risk of losing employment to AI. Even McKinsey, which is more bullish on generative AI, points out that jobs in office support and sales are likely to see declines.But eventually, new jobs — indeed, new industries — will be invented, says Neeley. In the long term, “technological revolutions like generative AI create more jobs than they disrupt,” even if the long term sometimes takes a while to arrive.After all, when photocopying and faxing disappeared as entry-level tasks, entry-level jobs didn't disappear. Arguably, they got more interesting. If I were a new grad in journalism today, I would probably be a social media manager — a job that didn't exist when I graduated. And I might be better off: Writing social copy and making TikTok videos is undoubtedly more challenging and rewarding than fixing paper jams.Similarly, the advent of computers put an end to the typing pool; women who had been consigned to such work began to take on more complex jobs.That's not to say that there's no reason to be concerned. Manufacturing provides an obvious example of an industry where automation destroyed good blue-collar jobs. Some experts predict that generative AI could have a similar effect on computer-based jobs for workers without college degrees, like customer service.It's the fate of those workers that should be commanding more attention from pundits and policymakers.Among the college-educated workforce, the advent of generative AI is less likely to erase jobs and more likely to prompt employees to learn new skills. For example, if a bot can churn out fluid-sounding text in minutes or even seconds, perhaps the human's job shifts from writing to editing — checking the facts to make sure they're correct, finding ways to improve the logic and persuasiveness of the piece, injecting verve and style. All of this requires critical thinking.Generative AI still needs human oversight — and maybe always will, despite its ability to rapidly learn new skills. As Walmart executives put it in a LinkedIn post last week when the company announced the rollout of a generative AI app for its office employees, “GenAI can help us work faster and more efficiently, but it also has limitations: It lacks judgment, has a limited understanding of context and is only as good as the data it's trained on.”For an example, consider my own early experiment testing ChatGPT. To see whether it could help me chase down a statistic for a column on child care, I asked it how many remote workers had kids at home without day care. It responded with a statistic and cited FlexJobs; when I asked for the URL, it provided one. When that produced only an error page, I contacted FlexJobs, and they said they couldn't remember ever conducting such a survey. It seems ChatGPT just fabricated it. A hallucinating assistant is far worse than a slow one.The college graduates of the future will still be able to find jobs, even if the hunt is grueling — and even if we can't predict exactly what the work will look like. I just hope it's more interesting than buying someone else's pantyhose.Sarah Green Carmichael is a Bloomberg Opinion editor. Previously, she was managing editor of ideas and commentary at Barron's and an executive editor at Harvard Business Review, where she hosted “HBR IdeaCast.”
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First Published Date: 04 Sep, 20:45 IST
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Home Opinion AI employment: Is ChatGPT Coming EntryLevel Jobs? AI employment: Is ChatGPT Coming EntryLevel Jobs? Fear expressed ChatGPT cause job loss massive scale. Well, generative AI change work young workers reasoning skills needed. By:BLOOMBERG Updated on: Sep 04 2023, 20:47 IST Share Via ChatGPT Superpower Experience The GameChanging Extension Looking way boost productivity organize chats breeze? Check Chrome extension promises redefine interaction ChatGPT. Sam Altman, CEO OpenAI ChatGPT creator listens Ilya Sutskever, cofounder Chief Scientist OpenAI. REUTERS Watch Video Sam Altman, CEO OpenAI ChatGPT creator listens Ilya Sutskever, cofounder Chief Scientist OpenAI. REUTERS The years career media spent making photocopies, collecting faxes filing papers. I opened reader mail, took notes meetings ran errands bosses picking skim lattes controltop Donna Karan tights.Ive thinking duespaying days recently onslaught depressing research generative AI, technology includes image text creation tools like ChatGPT, hurt career prospects Gen Z. If transforms takes typical entrylevel tasks professional occupations building spreadsheets, writing drafts creating presentations happen jobs younger workers? At blush, outlook bleak. Long generative AI buzzword, entrylevel jobs tougher land. The Great Recession caused spike underemployment rate recent graduates. Younger workers smaller networks, makes jobsearching tougher. And employers simply decided dont want bother brandnew workers. A 2018 analysis 100,000 job postings entrylevel jobs required years experience. Employers dont want invest time money training. Thats shortsighted, trend entrylevel workers fighting decades.Some AI compound problems. Not fewer professional jobs around, tasks automated, young workers miss learning opportunities fail build skills need advance.Its fair concern, probably gloomy. I dont buy doomsday scenarios all, says Amit Joshi, professor studies artificial intelligence IMD business school Lausanne, Switzerland. He says likely AI raise benchmark entrylevel worker achieve. Instead taking week analyze summarize 50 academic papers, research assistant ChatGPT need day synthesize core points check errors.Tsedal Neeley, professor Harvard Business School, agrees. For young people, youre going theyre going able perform better jobs. Theyre going able contribute more. Its PowerPoint hours build completed hour. Its young workers struggled basic writing coding tool helps higher minimum standard.If entrylevel workers faster better, wont companies able fewer them? Maybe. Those reasons studies Pew Brookings flag entrylevel workers particularly risk losing employment AI. Even McKinsey, bullish generative AI, points jobs office support sales likely declines.But eventually, new jobs indeed, new industries invented, says Neeley. In long term, technological revolutions like generative AI create jobs disrupt, long term takes arrive.After all, photocopying faxing disappeared entrylevel tasks, entrylevel jobs didnt disappear. Arguably, got interesting. If I new grad journalism today, I probably social media manager job didnt exist I graduated. And I better off: Writing social copy making TikTok videos undoubtedly challenging rewarding fixing paper jams.Similarly, advent computers end typing pool; women consigned work began complex jobs.Thats theres reason concerned. Manufacturing provides obvious example industry automation destroyed good bluecollar jobs. Some experts predict generative AI similar effect computerbased jobs workers college degrees, like customer service.Its fate workers commanding attention pundits policymakers.Among collegeeducated workforce, advent generative AI likely erase jobs likely prompt employees learn new skills. For example, bot churn fluidsounding text minutes seconds, humans job shifts writing editing checking facts sure theyre correct, finding ways improve logic persuasiveness piece, injecting verve style. All requires critical thinking.Generative AI needs human oversight maybe will, despite ability rapidly learn new skills. As Walmart executives LinkedIn post week company announced rollout generative AI app office employees, GenAI help work faster efficiently, limitations: It lacks judgment, limited understanding context good data trained on.For example, consider early experiment testing ChatGPT. To help chase statistic column child care, I asked remote workers kids home day care. It responded statistic cited FlexJobs; I asked URL, provided one. When produced error , I contacted FlexJobs, said remember conducting survey. It ChatGPT fabricated it. A hallucinating assistant far worse slow one.The college graduates future able jobs, hunt grueling predict exactly work look like. I hope interesting buying elses pantyhose.Sarah Green Carmichael Bloomberg Opinion editor. Previously, managing editor ideas commentary Barrons executive editor Harvard Business Review, hosted HBR IdeaCast. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. 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https://tech.hindustantimes.com/tech/news/meta-says-chatgpt-related-malware-is-on-the-rise-71683134165187.html
| 2023-05-04T00:00:00 |
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Meta says ChatGPT-related malware is on the rise | Tech News
|
Meta says ChatGPT-related malware is on the rise | Tech News
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Home Tech News Meta says ChatGPT-related malware is on the rise
Meta says ChatGPT-related malware is on the rise
Facebook owner Meta said that it had uncovered malware purveyors leveraging public interest in ChatGPT to lure users into downloading malicious apps and browser extensions, likening the phenomenon to cryptocurrency scams.
By:REUTERS
| Updated on: May 04 2023, 08:14 IST
Share Via
Meta says ChatGPT-related malware is on the rise. (AFP)
Meta says ChatGPT-related malware is on the rise. (AFP)
Facebook owner Meta said on Wednesday it had uncovered malware purveyors leveraging public interest in ChatGPT to lure users into downloading malicious apps and browser extensions, likening the phenomenon to cryptocurrency scams.Since March, the social media giant has found around 10 malware families and more than 1,000 malicious links that were promoted as tools featuring the popular artificial intelligence-powered chatbot, it said in a report. In some cases, the malware delivered working ChatGPT functionality alongside abusive files, the company said. Speaking at a press briefing on the report, Meta Chief Information Security Officer Guy Rosen said that for bad actors, "ChatGPT is the new crypto."Rosen and other Meta executives said the company was preparing its defenses for a variety of potential abuses linked to generative AI technologies like ChatGPT, which can quickly create human-like writing, music and art.Lawmakers have flagged the tools as likely to make online disinformation campaigns easier to propagate.Asked if generative AI was already being used in information operations, the executives said it was still early, though Rosen said he expected "bad actors" to use the technologies to "try to speed up and perhaps scale up" their activities.
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First Published Date: 04 May, 08:14 IST
Tags:
malware
meta platforms
artificial intelligence
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Meta says ChatGPT-related malware is on the rise
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Meta says ChatGPTrelated malware rise Tech News Log In HOME NEWS MOBILE MOBILE Mobile Mobile News mobile reviews Mobile Finder Mobile Recommender Mobile Compare LAPTOPS PC LAPTOPS PC Laptops PC LaptopsPC news LaptopsPC reviews HOW TO GADGETS Gadgets Mobile Finder Laptop Finder Tablet Finder RECOMMENDER Recommender Mobile Recommender Laptop Recommender Tablet Recommender COMPARE compare Mobile Comparison Laptop Comparison Tablet Comparison PHOTOS VIDEOS WEB STORIES FOR YOU MORE More Home Appliances wearables gaming TV Saved Articles Top Sections News Mobile Mobile News Mobile Reviews Laptops PC LaptopsPC News LaptopsPC Reviews How To Wearables Wearables News Wearables Reviews Gaming Gaming News Gaming Reviews TV TV News TV Reviews Gadgets Mobile Finder Laptop Finder Tablet Finder Recommender Mobile Recommender Laptop Recommender Tablet Recommender Compare Mobile Comparison Laptop Comparison Tablet Comparison Photos Videos For You More Home Appliances Explore Tech Us Sitemap RSS Terms Use HT Media Limited . Home Tech News Meta says ChatGPTrelated malware rise Meta says ChatGPTrelated malware rise Facebook owner Meta said uncovered malware purveyors leveraging public ChatGPT lure users downloading malicious apps browser extensions, likening phenomenon cryptocurrency scams. By:REUTERS Updated on: May 04 2023, 08:14 IST Share Via Meta says ChatGPTrelated malware rise. AFP Meta says ChatGPTrelated malware rise. AFP Facebook owner Meta said Wednesday uncovered malware purveyors leveraging public ChatGPT lure users downloading malicious apps browser extensions, likening phenomenon cryptocurrency scams.Since March, social media giant 10 malware families 1,000 malicious links promoted tools featuring popular artificial intelligencepowered chatbot, said report. In cases, malware delivered working ChatGPT functionality alongside abusive files, company said. Speaking press briefing report, Meta Chief Information Security Officer Guy Rosen said bad actors, ChatGPT new crypto.Rosen Meta executives said company preparing defenses variety potential abuses linked generative AI technologies like ChatGPT, quickly create humanlike writing, music art.Lawmakers flagged tools likely online disinformation campaigns easier propagate.Asked generative AI information operations, executives said early, Rosen said expected bad actors use technologies try speed scale activities. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. First Published Date: 04 May, 08:14 IST Tags: malware meta platforms artificial intelligence 71683134165187 NEXT ARTICLE BEGINS Tips Tricks Cant iPhone WiFi password? Check iOS 16 trick Is iPhone battery health good bad? Here need replace Live drive? Then switch THIS mode iPhone iPhone tricks: STOP taking screenshots boring way Take way instead Gmail users send passwordprotected email Do THIS way Editors Pick Gizmore Vogue Review: Smartwatch looks premium, work like one? Tecno Phantom V Fold Pics: First look affordable foldable smartphone India Switching iPhone 12 iPhone 14: Is worth upgrading to? Lapcare LTS600 Ramp Dual Tower 160W Speakers Review: Powerful performance Samsung Galaxy A54 5G review: A perfect price fit Trending Stories Microsoft Designer, AIpowered tool taking Adobe Photoshop, Canva Switching iPhone 12 iPhone 14: Is worth upgrading to? Tecno Phantom V Fold Pics: First look affordable foldable smartphone India iPhone 14 Pro iPhone 8, check 10 famous movies shot Apple iPhones Samsung Galaxy A54 5G Short Review: Price worthy performance tech Facebook Twitter Gaming Xbox Game Pass Wave 1 May 2023 titles REVEALED; Redfall, Ravenlok Sony casts doubt PS5 momentum disappointing outlook Microsoft signs 10yr deal Spains Nware UK blocks Activision bid PlayStation Plus May 2023 Games: GRID Legends, Chivalry 2, FREE UK blocks MicrosoftActivision gaming deal, biggest tech Trending News Microsoft Designer, AIpowered tool taking Adobe Photoshop, Canva Switching iPhone 12 iPhone 14: Is worth upgrading to? Tecno Phantom V Fold Pics: First look affordable foldable smartphone India iPhone 14 Pro iPhone 8, check 10 famous movies shot Apple iPhones Samsung Galaxy A54 5G Short Review: Price worthy performance Trending Gadgets Mobiles Laptops Tablets Connect us: Download HT app read Tech stories: Categories Latest News Tech News Home Appliances TV TV News TV Reviews How To Videos Photos Games Wearables Wearable News Wearable Reviews Laptops Laptop News Laptops Review Mobile Mobile News Mobile reviews Phones By Prices Mobile Phones 10000 Mobile Phones 15000 Mobile Phones 20000 Mobile Phones 25000 Mobile Phones 30000 Mobile Phones 35000 Mobile Phones 40000 Mobile Phones Nokia Apple Oppo Samsung Realme Oneplus Xiaomi Vivo LG Micromax Sony Lenovo Trending Topics iPhone 14 Price iPhone 14 vs iPhone 14 Plus iPhone 13 Pro Jio Recharge Plan Budget Mobile Phones Budget Smartphones YouTube Videos Download Free Fire Redeem Code Today 2022 TRENDING HOW TO How remove password PDF How Get Emojis WhatsApp How delete Facebook account permanently How restore deleted Instagram posts How earn money YouTube Us Terms Use RSS Sitemap 2023 Tech HindustanTimes
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https://tech.hindustantimes.com/web-stories/french-open-deploys-ai-to-fight-off-abusive-comments-against-players-on-twitter-instagram-and-more-71685428025489.html
| 2023-05-31T00:00:00 |
en
|
French Open deploys AI to fight off abusive comments against players on Twitter, Instagram and more
|
French Open deploys AI to fight off abusive comments against players on Twitter, Instagram and more
French Open deploys AI to fight off abusive comments against players on Twitter, Instagram and more
Hindustan Times Tech
Posted By Manshi Singh Published May 30, 2023
Photo Credit: AP
Tennis players at the French Open will get help against mean comments on social media platforms like TikTok, Twitter and Instagram.
Photo Credit: AFP
A special computer program called artificial intelligence (AI), made by Bodyguard.ai, will block abusive words online.
Photo Credit: AFP
It's meant to protect the players' feelings by getting rid of racist and homophobic comments.
Photo Credit: AFP
The French Open boss, Amelie Mauresmo, likes this idea and says it will help the players concentrate.
Photo Credit: AP
Bodyguard.ai will give regular reports on mean comments and tell the organisers who's being mean, but private messages won't be touched.
Photo Credit: AP
This plan is meant to help with the stress that players like Serena Williams, Naomi Osaka and Sloane Stephens have talked about, Reuters reported.
Click here
|
French Open deploys AI to fight off abusive comments against players on Twitter, Instagram and more
|
French Open deploys AI fight abusive comments players Twitter, Instagram French Open deploys AI fight abusive comments players Twitter, Instagram Hindustan Times Tech Posted By Manshi Singh Published May 30, 2023 Photo Credit: AP Tennis players French Open help mean comments social media platforms like TikTok, Twitter Instagram. Photo Credit: AFP A special program called artificial intelligence AI, Bodyguard.ai, block abusive words online. Photo Credit: AFP Its meant protect players feelings getting rid racist homophobic comments. Photo Credit: AFP The French Open boss, Amelie Mauresmo, likes idea says help players concentrate. Photo Credit: AP Bodyguard.ai regular reports mean comments tell organisers whos mean, private messages wont touched. Photo Credit: AP This plan meant help stress players like Serena Williams, Naomi Osaka Sloane Stephens talked about, Reuters reported. Click
| 2,023 |
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https://techcrunch.com/2021/09/24/uks-ai-strategy-is-ambitious-but-needs-funding-to-match-says-facultys-marc-warner/
| 2021-09-24T00:00:00 |
en
|
UK’s AI strategy is ‘ambitious’ but needs funding to match, says Faculty’s Marc Warner – TechCrunch
|
UK’s AI strategy is ‘ambitious’ but needs funding to match, says Faculty’s Marc Warner – TechCrunch
UK’s AI strategy is ‘ambitious’ but needs funding to match, says Faculty’s Marc Warner
Natasha Lomas
@riptari
/
7 hours
The UK published its first ever national AI strategy this week. The decade-long commitment by the government to levelling up domestic artificial intelligence capabilities — by directing resource and attention toward skills, talent, compute power and data access — has been broadly welcomed by the country’s tech ecosystem, as you’d expect.
But there is a question mark over how serious government is about turning the UK into a “global AI superpower” given the lack of a funding announcement to accompany the publication.
A better hint is likely to come shortly, with the spending review tabled for October 27 — which will set out public spending plans for the next three years.
Ahead of that, TechCrunch spoke to Marc Warner, CEO of UK AI startup Faculty, who said government needs to show it’s serious about providing long term support to develop the UK’s capabilities and global competitiveness with an appropriate level of funding — while welcoming the “genuine ambition” he believes the government is showing to support AI.
UK announces a national strategy to ‘level up’ AI
Warner’s startup, which closed a $42M growth round of funding earlier this year, has started its own internal education program to attract PhDs into the company and turn out future data scientists. While Warner himself is also a member of the UK’s AI Council, an expert advisory group that provides advice to government and which was consulted on the strategy.
“I think this is a really pretty good strategy,” he told TechCrunch. “There’s a genuine ambition in it which is relatively rare for government and they recognize some of the most important things that we need to fix.
“The problem — and it’s a huge problem — is that there are currently no numbers attached to this.
“So while in principle there’s lots of great stuff in there, in practice it’s totally critical that it’s actually backed by the funding that it needs — and has the commitment of the wider gov to the high quality execution that doing some of these things are going to require.”
Warner warned of the risk of the promising potential of a “pretty serious strategy” fading away if it’s not matched with an appropriate — dare we say it, ‘world beating’ — level of funding.
“That’s a question for the spending review but it seems to me very easy now that having done — what looks like a really pretty serious strategy — then… it fades into a much more generic strategy off the back of not really willing to make the funding commitments, not really willing to push through on the execution side and actually make these things happen.”
Asked what level of funding he’d like to see government putting behind the strategy to deliver on its long term ambitions, Warner said the UK needs to aim high — and do so on a global stage.
“We can look around the world and look at the commitments that other countries are making to their AI strategies which are in the hundred of millions to low billions,” he suggested. “And if we are serious about being globally competitive — which the strategy is, and I think we should be — then we’re talking at least matching the funding of other countries, if not exceeding it.”
“Ultimately it comes down to where does this rank in their priority list and if they want to deliver on an ambitious strategy it’s got to be high,” he added.
Access to talent
Discussing the broad detail of what the strategy says is needed for the UK to up its AI game, Warner highlighted talent as a key component.
“For a technical field like AI talent is a huge deal. There’s a global competition for that talent. And it seems like the government is taking that seriously and hopefully going to take actions to make sure the UK has all the talent it needs for this kind of stuff — from a skills perspective and training up people but also from a visa perspective.”
“From our perspective it’s just wonderful to be able to access some of the most talented people from across the world to come and work on important problems and so the easier that it can be made for those people — or for organizations, whether it’s universities or charities or companies like us or even government departments to start to be able to hire those people it’s just a massive step forward,” he added.
“It’s nice that they’re taking computing and data seriously,” he went on, discussing other elements of the strategy. “Obviously those are the two fuels for the set of techniques of machine learning that are sort of the foundation of modern AI. And having the government think about how we can make that more accessible is clearly a great thing.”
“I think the fact that they’re thinking about the long term risks of AI is novel and basically important,” he also said.
“Then I think they’re relatively honest that our adoption is weaker than we’d like, as a country, as a set of businesses. And hopefully recognizing that and thinking seriously about how we might go about fixing it — so, all in all, from a strategy perspective it’s actually very good.”
The strategy also talks about the need to establish “clear rules, applied ethical principles and a pro-innovation regulatory environment” for AI. But the UK is already lagging on that front — with the European Union proposing an AI Regulation earlier this year.
Europe lays out plan for risk-based AI rules to boost trust and uptake
Asked for his views on AI regulation Warner advocated for domain-specific rules.
Domain specific AI rules
“We think it would be a big mistake to regulate at the level of just artificial intelligence. Because that’s sort of equivalent to regulating steel where you don’t know whether the steel is going to be used in girders or in a knife or a gun,” he suggested.
“Either you pick the kind of legislation that we have around girders and it becomes incredibly lax around the people who are using the steel to make guns or you pick the kind of legislation that we have around guns and it becomes almost impossible to make the girders.
“So while it’s totally critical that we regulate AI effectively that is almost certainly done in a domain-specific fashion.”
He gave the example of AIs used in health contexts, such as for diagnosis, as a domain that would naturally require tighter regulation — whereas a use-case like ecommerce would likely not need such guardrails, he suggested.
“I think the government recognizes this in the strategy,” he added. “It does talk about making sure the regulation is really thoughtfully attuned to the domain. And that just seems very sensible to me.
“We think it’s extremely important that AI is done well and safely and for the benefit of society.”
The EU’s proposed risk-based framework for regulating applications of AI does have a focus on certain domains and use-cases — which are classified as higher or lower risk, with regulatory requirements varying accordingly. But Warner said he hasn’t yet studied the EU proposal in enough detail to have a view on their approach.
TechCrunch also asked the Faculty CEO for his views on the UK government’s simultaneous push to ‘reform’ the current data protection framework — which includes consulting on changes that could weaken protections for people’s information.
Critics of the reform plan suggest it risks a race to the bottom on privacy standards.
UK dials up the spin on data reform, claiming ‘simplified’ rules will drive ‘responsible’ data sharing
“My view would be that it’s absolutely critical that uses of AI are both legal and legitimate,” said Warner. “As in, if people knew what was being done with their data they would be completely comfortable with what’s going on.”
Data legitimacy
Faculty’s AI business was in existence (albeit under a different name) before the UK’s version of the EU General Data Protection Regulation (GDPR) was transposed into national law — although the prior regime was broadly similar. So existing rules don’t appear to have harmed its prospects as a high value and growing UK AI business.
Given that, might the government’s appetite to reduce the level of data protection that UK citizens enjoy — with the claim that doing so would somehow be ‘good for innovation’ — actually be rather counterproductive for AI businesses which need the trust of users to flourish? (Plus, of course, if any UK AI businesses want to do business in the European Union they would need to comply with the GDPR.)
“GDPR is not perfect,” argued Warner. “If you speak to anyone I think that’s widely recognized — so I don’t think that the way it’s being framed as a choice between one or other, I think we can do better than both and I think that’s what we should aim for.
“I think there are lots of ways that we can — over time — be better at regulating these things. So that we maintain the absolute best in class for legitimacy around the use of these technologies which is obviously totally critical for companies like us that want to do business in a way that’s widely accepted and even encouraged in society.
“Basically I don’t think we should compromise but I don’t think it’s a choice between just following GDPR or not. It’s more complicated than that.”
It’s also worth noting there have been a number of high profile data scandals emanating from the UK in recent years.
And Faculty — in its pre-rebranding guise as ASI Data Science — was intimately involved in controversial use of data for targeting ads at voters during the UK’s Brexit vote, for example.
Although it has since said it will never do political work again.
Political campaigning
ASI Data Science’s corporate rebranding followed revelations around the data-mining activities of the now defunct and disgraced data company, Cambridge Analytica — which broke into a global scandal in 2018, and led to parliamentarians around the world asking awkward questions about the role of data and predictive modelling to try to sway voters.
The UK’s information commissioner even called for an “ethical pause” on the use of data and AI tools for political add targeting, warning that trust in democracy was being undermined by big data techniques opaquely targeting voters with custom political messaging.
During the Brexit referendum, Warner worked with the UK government’s former special advisor, Dominic Cummings, who was a director for the Vote Leave campaign. And Cummings has written extensively that data scientists played a crucial role in winning the Brexit vote — writing, for instance, in a 2016 blog post on how data science and AI was used in the referendum, that:
One of our central ideas was that the campaign had to do things in the field of data that have never been done before. This included a) integrating data from social media, online advertising, websites, apps, canvassing, direct mail, polls, online fundraising, activist feedback, and some new things we tried such as a new way to do polling… and b) having experts in physics and machine learning do proper data science in the way only they can – i.e. far beyond the normal skills applied in political campaigns. We were the first campaign in the UK to put almost all our money into digital communication then have it partly controlled by people whose normal work was subjects like quantum information (combined with political input from Paul Stephenson and Henry de Zoete, and digital specialists AIQ). We could only do this properly if we had proper canvassing software. We built it partly in-house and partly using an external engineer who we sat in our office for months.
Given this infamous episode in his company’s history, we asked Warner if he would be supportive of AI rules that limit how the technology can be used for political campaigning?
The UK government has not made such a proposal but it is eyeing changing in election law — such as disclosure labels for online political campaigning.
“Faculty as an organization is not interested in politics anymore — it’s not something we’re thinking about,” was Warner’s response on this.
Pushed again on whether he would support limits on AI in the political campaigning domain, he added: “From Faculty’s perspective we don’t do politics anymore. I think it’s up to the government what they think it’s best around that area.”
UK eyeing disclosure labels for online political campaigning
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UK’s AI strategy is ‘ambitious’ but needs funding to match, says Faculty’s Marc Warner
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UKs AI strategy ambitious needs funding match, says Facultys Marc Warner TechCrunch UKs AI strategy ambitious needs funding match, says Facultys Marc Warner Natasha Lomas 7 hours The UK published national AI strategy week. The decadelong commitment government levelling domestic artificial intelligence capabilities directing resource attention skills, talent, compute power data access broadly welcomed countrys tech ecosystem, youd expect. But question mark government turning UK global AI superpower given lack funding announcement accompany publication. A better hint likely come shortly, spending review tabled October 27 set public spending plans years. Ahead that, TechCrunch spoke Marc Warner, CEO UK AI startup Faculty, said government needs providing long term support develop UKs capabilities global competitiveness appropriate level funding welcoming genuine ambition believes government showing support AI. UK announces national strategy level AI Warners startup, closed 42M growth round funding earlier year, started internal education program attract PhDs company turn future data scientists. While Warner member UKs AI Council, expert advisory group provides advice government consulted strategy. I think pretty good strategy, told TechCrunch. Theres genuine ambition relatively rare government recognize important things need fix. The problem huge problem currently numbers attached this. So principle theres lots great stuff there, practice totally critical actually backed funding needs commitment wider gov high quality execution things going require. Warner warned risk promising potential pretty strategy fading away matched appropriate dare it, world beating level funding. Thats question spending review easy looks like pretty strategy fades generic strategy willing funding commitments, willing push execution actually things happen. Asked level funding hed like government putting strategy deliver long term ambitions, Warner said UK needs aim high global stage. We look world look commitments countries making AI strategies millions low billions, suggested. And globally competitive strategy is, I think talking matching funding countries, exceeding it. Ultimately comes rank priority list want deliver ambitious strategy got high, added. Access talent Discussing broad strategy says needed UK AI game, Warner highlighted talent key component. For technical field like AI talent huge deal. Theres global competition talent. And like government taking seriously hopefully going actions sure UK talent needs kind stuff skills perspective training people visa perspective. From perspective wonderful able access talented people world come work important problems easier people organizations, universities charities companies like government departments start able hire people massive step forward, added. Its nice theyre taking computing data seriously, went on, discussing elements strategy. Obviously fuels set techniques machine learning sort foundation modern AI. And government think accessible clearly great thing. I think fact theyre thinking long term risks AI novel basically important, said. Then I think theyre relatively honest adoption weaker wed like, country, set businesses. And hopefully recognizing thinking seriously fixing so, all, strategy perspective actually good. The strategy talks need establish clear rules, applied ethical principles proinnovation regulatory environment AI. But UK lagging European Union proposing AI Regulation earlier year. Europe lays plan riskbased AI rules boost trust uptake Asked views AI regulation Warner advocated domainspecific rules. Domain specific AI rules We think big mistake regulate level artificial intelligence. Because thats sort equivalent regulating steel dont know steel going girders knife gun, suggested. Either pick kind legislation girders incredibly lax people steel guns pick kind legislation guns impossible girders. So totally critical regulate AI effectively certainly domainspecific fashion. He gave example AIs health contexts, diagnosis, domain naturally require tighter regulation usecase like ecommerce likely need guardrails, suggested. I think government recognizes strategy, added. It talk making sure regulation thoughtfully attuned domain. And sensible me. We think extremely important AI safely benefit society. The EUs proposed riskbased framework regulating applications AI focus certain domains usecases classified higher lower risk, regulatory requirements varying accordingly. But Warner said studied EU proposal view approach. TechCrunch asked Faculty CEO views UK governments simultaneous push reform current data protection framework includes consulting changes weaken protections peoples information. Critics reform plan suggest risks race privacy standards. UK dials spin data reform, claiming simplified rules drive responsible data sharing My view absolutely critical uses AI legal legitimate, said Warner. As in, people knew data completely comfortable whats going on. Data legitimacy Facultys AI business existence albeit different UKs version EU General Data Protection Regulation GDPR transposed national law prior regime broadly similar. So existing rules dont appear harmed prospects high value growing UK AI business. Given that, governments appetite reduce level data protection UK citizens enjoy claim good innovation actually counterproductive AI businesses need trust users flourish? Plus, course, UK AI businesses want business European Union need comply GDPR. GDPR perfect, argued Warner. If speak I think thats widely recognized I dont think way framed choice other, I think better I think thats aim for. I think lots ways time better regulating things. So maintain absolute best class legitimacy use technologies obviously totally critical companies like want business way thats widely accepted encouraged society. Basically I dont think compromise I dont think choice following GDPR not. Its complicated that. Its worth noting number high profile data scandals emanating UK recent years. And Faculty prerebranding guise ASI Data Science intimately involved controversial use data targeting ads voters UKs Brexit vote, example. Although said political work again. Political campaigning ASI Data Sciences corporate rebranding followed revelations datamining activities defunct disgraced data company, Cambridge Analytica broke global scandal 2018, led parliamentarians world asking awkward questions role data predictive modelling try sway voters. The UKs information commissioner called ethical pause use data AI tools political add targeting, warning trust democracy undermined big data techniques opaquely targeting voters custom political messaging. During Brexit referendum, Warner worked UK governments special advisor, Dominic Cummings, director Vote Leave campaign. And Cummings written extensively data scientists played crucial role winning Brexit vote writing, instance, 2016 blog post data science AI referendum, that: One central ideas campaign things field data before. This included integrating data social media, online advertising, websites, apps, canvassing, direct mail, polls, online fundraising, activist feedback, new things tried new way polling b experts physics machine learning proper data science way i.e. far normal skills applied political campaigns. We campaign UK money digital communication partly controlled people normal work subjects like quantum information combined political input Paul Stephenson Henry Zoete, digital specialists AIQ. We properly proper canvassing software. We built partly inhouse partly external engineer sat office months. Given infamous episode companys history, asked Warner supportive AI rules limit technology political campaigning? The UK government proposal eyeing changing election law disclosure labels online political campaigning. Faculty organization interested politics anymore thinking about, Warners response this. Pushed support limits AI political campaigning domain, added: From Facultys perspective dont politics anymore. I think government think best area. UK eyeing disclosure labels online political campaigning
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"limits",
"ai",
"political",
"campaigning",
"domain",
"added",
"facultys",
"perspective",
"dont",
"politics",
"anymore",
"think",
"government",
"think",
"best",
"area",
"uk",
"eyeing",
"disclosure",
"labels",
"online",
"political",
"campaigning"
] | 1 | 197,030 |
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