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https://indianexpress.com/article/explained/explained-sci-tech/bard-google-chatgpt-announcement-explained-8428565/ | 2023-02-07T00:00:00 | en | What is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing | Explained News,The Indian Express |
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NewsExplainedExplained Sci-TechWhat is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing
What is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing
ChatGPT in many ways is being called the end of Google Search, given that conversational AI can give long, essay style and sometimes elegant answers to a user’s queries. For Google, whose core business is search, this has resulted in a ‘code red’ at the company.
Written by Shruti Dhapola
New Delhi | Updated: February 7, 2023 11:29 IST
In a blog post, Alphabet and Google CEO Sundar Pichai also spoke about how AI-based features would be coming to Google Search as well. (Reuters photo)
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What is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing
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Google has finally decided to answer the challenge and threat posed by Microsoft-backed OpenAI and its AI chatbot, ChatGPT. The search giant confirmed it will soon start public testing for a new AI chatbot of its own called Bard, based on the company’s Language Model for Dialogue Application or LaMDA.
In a blog post, Alphabet and Google CEO Sundar Pichai also spoke about how AI-based features would be coming to Google Search as well. It should be noted that so far LaMDA was available in limited testing to select users of the company’s AI Test Kitchen app.
So what is Bard and why has Google suddenly taken the decision to announce this new technology? Let’s take a deeper look at the reasons and timings of this announcement.
What is Bard, when can I access it?
Bard is based on LaMDA and Google’s own conversational AI chatbot. It is what Pichai termed an “experimental conversational AI service,” and Google will be “opening it up to trusted testers ahead of making it more widely available to the public in the coming weeks.”Subscriber Only StoriesView AllIn this Bengal district, solid, plastic waste management now a people’s m...Delhi Confidential | GOAT & the gift: PM Narendra Modi gets a Lionel ...India looks at options to pay defence dues to Russia: stake sale, bonds, ...Interview with Revenue Secretary | ‘Measures for widening tax base ...Buy monthly plan. Limited offer
If you are wondering how to sign up for it now, keep in mind that it’s not yet publicly available. Given Google has taken such a slow and cautious approach with LaMDA – it has been in testing for nearly two years – the Bard rollout is actually quite fast in comparison. Google is also hosting an AI event on Wednesday, where more details and confirmations will be revealed.
According to the blog post, Bard “draws on information from the web to provide fresh, high-quality responses.” In short, it will give in-depth, conversational and essay-style answers just like ChatGPT does right now. A user will be able to ask Bard “to explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills,” according to the blog post.
Best of ExplainedTurkey hit by series of powerful earthquakes: The science behind itExplainSpeaking | Budget 2023-24: Economic growth, fiscal health and unemploymentHow the Pakistan army's Lal Masjid operation led to the downfall of Pervez MusharrafClick here for more
However, Google has also said that the model is currently a “lightweight” version of LaMDA, and the one being “requires significantly less computing power, enabling us to scale to more users, allowing for more feedback.” Remember running these models also requires significant computing power. For instance, ChatGPT is powered by Microsoft’s Azure Cloud services. This also explains why the service often runs into errors at times, because too many people are accessing it.Advertisement
Google says it will look at external feedback, along with “internal testing to make sure Bard’s responses meet a high bar for quality, safety and groundedness in real-world information.” So yes, Bard is now in a testing phase.
From Explained |What Google’s changes in Android mean to Indian users
Is Bard better than ChatGPT? What is Bard based on?
Bard looks like a limited rollout right now. Google is looking for a lot of feedback at the moment around Bard, so it is hard to say whether it can answer more questions than ChatGPT. Google has also not made clear the amount of knowledge that Bard possesses.
For instance, with ChatGPT, we know its knowledge is limited to events till 2021. Of course, it is based on LaMDA, which has been in the news for a while now. Bard is also built on Transformer technology—which is also the backbone of ChatGPT and other AI bots. Transformer technology was pioneered by Google and made open-source in 2017.Advertisement
Transformer technology is a neural network architecture, which is capable of making predictions based on inputs and is primarily used in natural language processing and computer vision technology. Previously, a Google engineer claimed LaMDA was a ‘sentient’ being with consciousness. The engineer, Blake Lemoine Google later fired the engineer.
Still, Google has also showcased several capabilities of LaMDA last year, including a new project called Wordcraft which was being used to help write fiction. Last September, Google revealed that it “teamed up with professional writers who used the Wordcraft editor to create a volume of short stories.” These stories are available online for reading. But Google had also cautioned that LaMDA was not very good at writing fiction by itself and right now was more of a helper to human writers.
Express Tech |Google AI on verge of writing fiction, generating videos… but humans still a factor
Why has Google announced Bard right now?
The timing of this announcement is critical. It comes as Microsoft is preparing to announce an integration of ChatGPT into its Bing Search engine. Microsoft announced a surprise event today, just one day ahead of Google’s own AI event.
OpenAI CEO Sam Altman also posted a picture with Microsoft CEO Satya Nadella ahead of this. The event takes place at 11.30 pm IST. Microsoft has already invested $10 billion this year in OpenAI and the integration of ChatGPT into Bing will pose a new headache for Google and its core Search business.
Google might have invented the ‘Transformer’ technology, but it is now being seen as a latecomer to the AI revolution. ChatGPT in many ways is being called the end of Google Search, given that conversational AI can give long, essay style and sometimes elegant answers to a user’s queries. Of course, not all of these are correct, but then AI is capable of correcting itself as well and learning from mistakes.Advertisement
From NYT |The brilliance and weirdness of ChatGPT
For Google, whose core business is search, this has resulted in a ‘code red’ at the company as New York Times reported. In fact, another New York Times report said that Google executives called in founders Larry Page and Sergey Brin to review plans around AI. The founders have mostly not been involved in the day-to-day running of Google, but clearly, some sort of alarm bells have gone off at the company.
It is also becoming clear that many see ChatGPT as being superior right now, and the onus is now on Google to prove that LaMDA and Bard are actually ahead and can do better. It also doesn’t help that Microsoft has invested so significantly in OpenAI and plans to offer ChatGPT to its enterprise customers as part of the Azure Cloud services. So for Google, the Microsoft-OpenAI threat comes from multiple angles.Advertisement
Google has also announced it plans to bring AI features to search results. The blog post notes, “Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner.”
Again, these features will roll out soon. What this means is that when searching for information on Google in the future, one can expect chunks and nuggets of information, likely sourced from blogs or articles.
First published on: 07-02-2023 at 11:22 IST
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| What is Bard, Google’s answer to ‘ChatGPT’: A closer look at the announcement, timing | What Bard, Googles answer ChatGPT: A closer look announcement, timing Explained News,The Indian Express Sections EnglishBusiness Newsletters Tuesday, Feb 07, 2023 ePaper Todays Paper Journalism Courage HomeExplainedPolitical PulseIndiaCitiesOpinionEntertainmentLifestyleTechnologyVideosSportsAudioEducationPremium TrendingDaily CrosswordBuy monthly planTurkey Earthquake LiveHealth SpecialsUPSC Special Advertisement NewsExplainedExplained SciTechWhat Bard, Googles answer ChatGPT: A closer look announcement, timing What Bard, Googles answer ChatGPT: A closer look announcement, timing ChatGPT ways called end Google , given conversational AI long, essay style elegant answers users queries. For Google, core business search, resulted code red company. Written Shruti Dhapola New Delhi Updated: February 7, 2023 11:29 IST In blog post, Alphabet Google CEO Sundar Pichai spoke AIbased features coming Google well. Reuters photo Listen article What Bard, Googles answer ChatGPT: A closer look announcement, timing x 00:00 1x 1.5x 1.8x Google finally decided answer challenge threat posed Microsoftbacked OpenAI AI chatbot, ChatGPT. The search giant confirmed soon start public testing new AI chatbot called Bard, based companys Language Model Dialogue Application LaMDA. In blog post, Alphabet Google CEO Sundar Pichai spoke AIbased features coming Google well. It noted far LaMDA available limited testing select users companys AI Test Kitchen app. So Bard Google suddenly taken decision announce new technology? Lets deeper look reasons timings announcement. What Bard, I access it? Bard based LaMDA Googles conversational AI chatbot. It Pichai termed experimental conversational AI service, Google opening trusted testers ahead making widely available public coming weeks.r Only StoriesView AllIn Bengal district, solid, plastic waste management peoples m...Delhi Confidential GOAT gift: PM Narendra Modi gets Lionel ...India looks options pay defence dues Russia: stake sale, bonds, ...Interview Revenue Secretary Measures widening tax base ...Buy monthly plan. Limited offer If wondering sign now, mind publicly available. Given Google taken slow cautious approach LaMDA testing nearly years Bard rollout actually fast comparison. Google hosting AI event Wednesday, details confirmations revealed. According blog post, Bard draws information web provide fresh, highquality responses. In short, indepth, conversational essaystyle answers like ChatGPT right now. A user able ask Bard explain new discoveries NASAs James Webb Space Telescope 9yearold, learn best strikers football right now, drills build skills, according blog post. Best ExplainedTurkey hit series powerful earthquakes: The science itExplainSpeaking Budget 202324: Economic growth, fiscal health unemploymentHow Pakistan armys Lal Masjid operation led downfall Pervez MusharrafClick However, Google said model currently lightweight version LaMDA, requires significantly computing power, enabling scale users, allowing feedback. Remember running models requires significant computing power. For instance, ChatGPT powered Microsofts Azure Cloud services. This explains service runs errors times, people accessing it.Advertisement Google says look external feedback, internal testing sure Bards responses meet high bar quality, safety groundedness realworld information. So yes, Bard testing phase. From Explained What Googles changes Android mean Indian users Is Bard better ChatGPT? What Bard based on? Bard looks like limited rollout right now. Google looking lot feedback moment Bard, hard answer questions ChatGPT. Google clear knowledge Bard possesses. For instance, ChatGPT, know knowledge limited events till 2021. Of course, based LaMDA, news now. Bard built Transformer technologywhich backbone ChatGPT AI bots. Transformer technology pioneered Google opensource 2017.Advertisement Transformer technology neural network architecture, capable making predictions based inputs primarily natural language processing vision technology. Previously, Google engineer claimed LaMDA sentient consciousness. The engineer, Blake Lemoine Google later fired engineer. Still, Google showcased capabilities LaMDA year, including new project called Wordcraft help write fiction. Last September, Google revealed teamed professional writers Wordcraft editor create volume short stories. These stories available online reading. But Google cautioned LaMDA good writing fiction right helper human writers. Express Tech Google AI verge writing fiction, generating videos humans factor Why Google announced Bard right now? The timing announcement critical. It comes Microsoft preparing announce integration ChatGPT Bing engine. Microsoft announced surprise event today, day ahead Googles AI event. OpenAI CEO Sam Altman posted picture Microsoft CEO Satya Nadella ahead this. The event takes place 11.30 pm IST. Microsoft invested 10 billion year OpenAI integration ChatGPT Bing pose new headache Google core business. Google invented Transformer technology, seen latecomer AI revolution. ChatGPT ways called end Google , given conversational AI long, essay style elegant answers users queries. Of course, correct, AI capable correcting learning mistakes.Advertisement From NYT The brilliance weirdness ChatGPT For Google, core business search, resulted code red company New York Times reported. In fact, New York Times report said Google executives called founders Larry Page Sergey Brin review plans AI. The founders involved daytoday running Google, clearly, sort alarm bells gone company. It clear ChatGPT superior right now, onus Google prove LaMDA Bard actually ahead better. It doesnt help Microsoft invested significantly OpenAI plans offer ChatGPT enterprise customers Azure Cloud services. So Google, MicrosoftOpenAI threat comes multiple angles.Advertisement Google announced plans bring AI features search results. The blog post notes, Soon, youll AIpowered features distill complex information multiple perspectives easytodigest formats, quickly understand big picture learn web: thats seeking additional perspectives, like blogs people play piano guitar, going deeper related topic, like steps started beginner. Again, features roll soon. What means searching information Google future, expect chunks nuggets information, likely sourced blogs articles. 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Watch videoSportsKohli, Rohit Co. sweep nets India polish counterattacking options turnersSportsTeam India field spinners plan prepare rank turners takes shapeOpinionFocus physical, digital social infrastructure budget places people heart policyExplained7.8 magnitude earthquake strikes Turkey: How earthquakes measured massive Turkey earthquake?LifestyleWhat happens heart right instead left?MicrosoftOpenAI surprise event today: ChatGPTpowered Bing launch event?AdvertisementMust ReadSportsKohli, Rohit Co. sweep nets India polish counterattacking options turnersSportsTeam India field spinners plan prepare rank turners takes shapeSportsHow Virat Kohli shot helped Marnus Labuschagne hone legside gameMicrosoftOpenAI surprise event today: ChatGPTpowered Bing launch event?TechnologyBard Googles ChatGPT rival, powered LaMDATechnologyOnePlus 11 know farLifestyleWhat happens heart right instead left?AdvertisementEXPRESS OPINIONOpinionFocus physical, digital social infrastructure budget places people heart policyOpinionPathaan offers alternative discarding broken usOpinionInstead criminalising child marriage, Assam CM heed PMs Beti Bachao Beti PadhaoOpinionBudget ignores rural distress, tries fix demand problem supply interventions Feb 07: Latest News Pandits pundits: RSS parses words Opposition questions chief Mohan Bhagwats caste remarksRuckus Pak Senate lawmakers bicker offering prayers MusharrafJuventus need 40 points avoid relegation, says AllegriQatar appoint Queiroz coach 2026 World CupSyrian toddler survives quake, mother siblings perishPM Narendra Modi receives Lionel Messi Argentina jersey replica giftRani, Delhi zoos oldest white tigress, diesStudent injured jumps overbridgeAllahabad High Court grants anticipatory bail Swami ChinmayanandNepal aircraft crashed thrust motion engines landing, says panelAdvertisement Shruti DhapolaShruti Dhapola looks Indian Express Technology section w... read What Bard, Googles answer ChatGPT: A closer look announcement, timingBard Googles ChatGPT rival, powered LaMDA, soon public testingPoco X5 Pro review: A better alternative Redmi Note 12 Pro? epaperPremiumIndiaElections 2022OpinionPolitical PulseExplainedScienceSportsWorldBusinessEntertainmentHealthLifestyleTechnologyEducationEyeTrendingCitiesNewslettersPhotosVideosAudioWeb Stories TrendingDaily CrosswordBuy monthly planTurkey Earthquake LiveHealth SpecialsUPSC Special close epaperPremiumIndiaElections 2022OpinionPolitical PulseExplainedScienceSportsWorldBusinessEntertainmentHealthLifestyleTechnologyEducationEyeTrendingCitiesNewslettersPhotosVideosAudioWeb Stories Top Categories Explained News Political Pulse Latest Opinion Mumbai News Delhi News Pune News Bangalore News Bollywood News Health News India News Sports News Lifestyle News Jobs Mobile Tabs Tech Reviews Gadgets Mobile Tabs Food Wine Elections 2023 Fitness Trending NewsLatest Newsome Tax SlabHealth WellnessCricket NewsPathaan Movie ReviewEducation NewsEntertainment NewsUPSC NewsWhy subscribe The Indian ExpressBuy AllAccess pass The Indian ExpressBuy Digital PremiumJEE Advanced 2023Budget 2023 ExplainedBudget 2023 LiveBudget 2023 HighlightsLATEST STORIESIntruder breaches base Air Force One, shot firedWhat Bard, Googles answer ChatGPT: A closer look announcement, timingA glance worlds deadliest earthquakes 2000Former BJP leader Victoria Gowri, sworn Madras High Court judgesThey scared foreign coaches; dont respect Pakistan coaches: Sikander Bakht blasts Pakistan playersTN Class 10 Exams: SC extends exemption students writing Tamil language paperWhere window?: Man shares photo seat assigned British Airways, netizens funny sideFire breaks Gurgaon pandal hour wedding party leaves; injuredRonit Roy says Oscarwinning film Zero Dark Thirty Student Year: Karan Johars team said no..Old pension scheme paramilitary force: Deepender Hooda raise issue Rajya SabhaIts good cricket Asia Cup venue shifted Pakistan: Abdul RazzaqAll facial shaving, pros cons common mythsWomens T20 World Cup: Squads, fixtures, venues need knowNEET PG aspirants protest Jantar Mantar, want March exam postponedMumbai News Live Updates: Water taxi service Belapur Gateway India launched todayHis form decide serieshe comes package: Ravi Shastri Ashwins role BorderGavaskar Trophy Download Apps The Indian Express website rated GREEN credibility trustworthiness Newsguard, global service rates news sources journalistic standards. 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] | 1 | 2,058 |
https://indianexpress.com/article/technology/gadgets/insta360-launches-link-a-4k-webcam-that-uses-ai-to-keep-subjects-in-focus-8069595/ | 2022-08-04T00:00:00 | en | Insta360’s Link is 4K webcam that uses AI to keep you in focus at all times | Technology News,The Indian Express |
Insta360’s Link is 4K webcam that uses AI to keep you in focus at all times | Technology News,The Indian Express
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HomeTechnologyGadgetsInsta360's Link is 4K webcam that uses AI to keep you in focus at all times
Insta360’s Link is 4K webcam that uses AI to keep you in focus at all times
It looks like the recently launched Insta360 Link webcam has several tricks up its sleeve.
By: Tech Desk | New Delhi |
August 4, 2022 10:21:02 am
Insta360 Link webcam (Image of Link from Insta360 website)Insta360 is a popular camera company, best known for their action and 360 cameras. Now, the company has launched a new AI-powered webcam which might appeal to many folks who are often caught in Zoom or Google Meet calls. The Insta360 Link – is 4K AI-powered webcam and mounted on a three-axis gimbal. It is particularly useful when teaching, giving presentations or live streaming. Here’s a quick look at what this camera offers.
Large camera sensor
Featuring a ½-inch sensor, the 4K webcam uses Artificial Intelligence to track users and keep them in the frame, similar to Apple’s Center Stage software. The large sensor is particularly helpful if you are in a dark environment. It also features Phase Detection Auto Focus (PDAF) which helps focus on subjects quickly. The Insta360 Link uses a 26mm lens with an f/1.8 aperture that can record in UHD 4K (3840 x 2160) up to 30fps. The webcam also supports HDR at 1080p and 720p.
Features
The Insta360 Link uses AI to keep subjects in focus similar to Apple’s Center Stage.
The Insta360 Link can be easily controlled using motion gestures. This is really helpful if you happen to be far away from the camera while on a call or giving presentations. Users also have the option to customise gestures. For those who often use whiteboards to share ideas or information, the Insta360 Link features a whiteboard mode that automatically zooms into the board by detecting markers that can be clipped onto the edge of the whiteboard. It also includes a portrait mode for those interested in recording videos vertically.
The Link Controller desktop software is pretty straightforward and lets users control various image parameters like exposure, saturation and white balance along with the gimbal position.Subscriber Only StoriesView AllPremiumIndia set for Agnipath, worry in Nepal over Gorkha recruitsPremiumConcern in Delhi over not being part of US-led critical minerals alliancePremiumWho will bell revadi cat? EC to Niti, Finance to RBI, why hands tiedPremiumAfter Partha expulsion, Abhishek imprint on Bengal Cabinet reshuffleSubscribe Now to get 66% OFF
Instalink 360 features dual noise-cancelling microphones that help in a noisy environment. When it comes to privacy, the Insta360 Link has a pretty nifty privacy protection feature that automatically points the lens downwards if you are not in front of the camera for more than 10 seconds.
Insta360: Price
Insta360 is offering the Link in two variants. The standalone version is priced at $299.99 and comes with 4 Recognition Markers, 1 USB-C Cable and a USB-C to A adapter. In case you want the Tripod Kit, get ready to shell out another $28.99. The company does ship globally on its website for those who are interested in India. However, keep in mind you will have to shell out extra duty if you decide to get this shipped in India.
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First published on: 04-08-2022 at 10:21:02 am
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Subscribers Reading NowCWG 2022, Day 6 Highlights: Tejaswin Shankar wins historic Bronze, Silver for Judoka TulikaNancy Pelosi in Taiwan, Live Updates: Hours after Pelosi visit, 27 Chinese warplanes enter Taiwan's air defence zoneChina-Taiwan tensions post-Pelosi visit, Live Updates: Taiwan says it fired flares to drive away suspected drones near Kinmen IslandsCWG 2022, Day 6 Live Updates: Tejaswin Shankar in high jump final, India vs Barbados in cricketCWG 2022, Day 6 Live Updates: Tejaswin Shankar in high jump final, India vs Barbados in cricketNancy Pelosi in Taiwan, Live Updates: Hours after Pelosi visit, 27 Chinese warplanes enter Taiwan’s air defence zoneMost Popular1SC collegium decides: Freeze on new postings until next CJI takes over2Uttarakhand plans ‘Modi Circuit’ in Corbett, map is Man vs Wild episode3Cannot evict people with bulldozer at doorstep without notice: Delhi HC4Kangana Ranaut accuses Aamir Khan of masterminding negativity around Laal Singh Chaddha: 'A Hollywood remake would not have worked anyway'5An Expert Explains: Taiwan, China, and the US — the big picture in the Indo-PacificFeatured StoriesAugust 4, 1982, Forty Years Ago: Press Bill PassedSupriya Chaudhuri writes: Who failed West Bengal's students?Explained: As India strengthens its climate targets, a look at the progre...Explained: Who will be the next leader of al-Qaeda, and how will he be ch...Behind flaring of Manipur ADC Bill row, widening hills, valley chasmUttarakhand plans ‘Modi Circuit’ in Corbett, map is Man vs Wild episodeThe sidelined Thackerays now emerge out of the cold, get a warm Shinde welcomePremiumBehind flaring of Manipur ADC Bill row, widening hills, valley chasmThis I-Day, to secure skies over Red Fort, Delhi Police enlist local help: Keep kite-flying on holdDelhi Confidential In maiden RS speech, PT Usha mentions these two PMs Gadkari ‘guarantees’ US-like roads in India by 2024Explained First grain cargo ship has left Ukraine since war began — how big a deal is this?National Herald caseED seals Young Indian office; Congress says ‘under siege’Expained ClimateAs India strengthens climate targets, a look at progress so farCannot evict people with bulldozer at doorstep without notice: Delhi HCAfter Partha expulsion, Abhishek imprint on Bengal Cabinet reshufflePremiumSPONSORED Livspace Reviews: A One-Stop Shop for Home Interior NeedsSPONSOREDUPSC CSE 2021 | IAS Toppers from Rau’s IAS share their coaching experienceLatest News Kerala HC seeks LDF govt stand on plea claiming arrest and detention for waving black flags is illegalOver 4,500 vacancies in IITs across country, govt data showsMaharashtra issues 100,000 plus verifiable diplomas on Polygon blockchainAkshay Kumar says he has never given Twinkle Khanna reason to ‘fear’ anything he does: ‘My core belief has always been catering to the family…’Gadar actor Mithilesh Chaturvedi dies of heart ailmentCeleb fitness: Kangana Ranaut impresses with her ‘controlled, strong moves’CUET UG 2022 Exam Analysis LIVE Updates: Phase I begins, over 6.80 lakh to appear‘Would a Javelin pierce my chest? Was my fifth step good? Oh, the bar didn’t fall. I am such a fool’ — Tejaswin Shankar conquers mind demons to win CWG bronze medalAamir Khan roasts Karan Johar, agrees the host was biased towards Janhvi Kapoor on Koffee with Karan: ‘You are partial all the time’Sensex, Nifty, Stock Market Today: Sensex surges over 300 points in early deals, Nifty trades above 17,450-mark led by IT stocksAll you need to know: Delhi University’s new UG admission processDelhi News Live Updates: Delhi reports country’s first monkeypox case in a woman; city’s tally now at 4
AdvertisementMore TechTechnologyOnePlus 10T review: Doing everything better than beforeTechnologyOnePlus 10T launched in India: Check price, specs and moreTechnologyWith BGMI gone from app stores, ‘uncertainty’ grips world of EsportsTechnologyAirtel to launch 5G services in India this monthAdvertisementPhotosOppo Reno8, Reno8 Pro and Enco X2 launched: Here’s a closer look The biggest Supermoon of 2022: Check out the stunning imagesFirst look: OnePlus 9RT with triple camera, 120 Hz display launched in IndiaSamsung Galaxy A52s 5G first look: Big display, Qualcomm 778G processor and 64MP cameraSamsung Galaxy Z Flip 3: A closer look at the phoneBest of ExpressIndia set for Agnipath, worry in Nepal over Gorkha recruitsWho will bell revadi cat? EC to Niti, Finance to RBI, why hands tiedEntertainmentGadar actor Mithilesh Chaturvedi dies of heart ailmentEntertainmentKoffee with Karan 7 episode 5 review: Aamir Khan gets a 10 for his humour, has more sass than Kareena KapoorTrendingSisters rock social media platform with 'Naatu Naatu' beats. Watch videoTrendingEver seen a sea cucumber eating food? Here is the videoSportsTejaswin Shankar conquers mind demons to win CWG bronze medalSportsCWG: Raised by single mother, a cop, Tulika Maan battles odds to win judo silver medalOpinionPelosi’s visit to Taiwan is provocative; China's angry reaction should have been expectedFirst cargo ship has left Ukraine — how big a deal is this?LifestyleCeleb fitness: Kangana Ranaut impresses with her 'controlled, strong moves'TechnologyOnePlus 10T review: Doing everything better than beforeMust ReadSportsTejaswin Shankar conquers mind demons to win CWG bronze medalSportsCWG: Raised by single mother, a cop, Tulika Maan battles odds to win judo silver medalSportsCWG 2022: Kenya's Omanyala, the fastest African ever, is showing they can excel at sprints tooTechnologyOnePlus 10T review: Doing everything better than beforeTechnologyOnePlus 10T launched in India: Check price, specs and moreTechnologyWith BGMI gone from app stores, ‘uncertainty’ grips world of EsportsLifestyleCeleb fitness: Kangana Ranaut impresses with her 'controlled, strong moves'Advertisement
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IE Online Media Services Pvt Ltd First published on: 04082022 10:21:02 Tags: webcam rs Reading NowCWG 2022, Day 6 Highlights: Tejaswin Shankar wins historic Bronze, Silver Judoka TulikaNancy Pelosi Taiwan, Live Updates: Hours Pelosi visit, 27 Chinese warplanes enter Taiwans air defence zoneChinaTaiwan tensions postPelosi visit, Live Updates: Taiwan says fired flares drive away suspected drones near Kinmen IslandsCWG 2022, Day 6 Live Updates: Tejaswin Shankar high jump final, India vs Barbados cricketCWG 2022, Day 6 Live Updates: Tejaswin Shankar high jump final, India vs Barbados cricketNancy Pelosi Taiwan, Live Updates: Hours Pelosi visit, 27 Chinese warplanes enter Taiwans air defence zoneMost Popular1SC collegium decides: Freeze new postings CJI takes over2Uttarakhand plans Modi Circuit Corbett, map Man vs Wild episode3Cannot evict people bulldozer doorstep notice: Delhi HC4Kangana Ranaut accuses Aamir Khan masterminding negativity Laal Singh Chaddha: A Hollywood remake worked anyway5An Expert Explains: Taiwan, China, US big picture IndoPacificFeatured StoriesAugust 4, 1982, Forty Years Ago: Press Bill PassedSupriya Chaudhuri writes: Who failed West Bengals students?Explained: As India strengthens climate targets, look progre...Explained: Who leader alQaeda, ch...Behind flaring Manipur ADC Bill row, widening hills, valley chasmUttarakhand plans Modi Circuit Corbett, map Man vs Wild episodeThe sidelined Thackerays emerge cold, warm Shinde welcomePremiumBehind flaring Manipur ADC Bill row, widening hills, valley chasmThis IDay, secure skies Red Fort, Delhi Police enlist local help: Keep kiteflying holdDelhi Confidential In maiden RS speech, PT Usha mentions PMs Gadkari guarantees USlike roads India 2024Explained First grain cargo ship left Ukraine war began big deal this?National Herald caseED seals Young Indian office; Congress says siegeExpained ClimateAs India strengthens climate targets, look progress farCannot evict people bulldozer doorstep notice: Delhi HCAfter Partha expulsion, Abhishek imprint Bengal Cabinet reshufflePremiumSPONSORED Livspace Reviews: A OneStop Shop Home Interior NeedsSPONSOREDUPSC CSE 2021 IAS Toppers Raus IAS share coaching experienceLatest NewsKerala HC seeks LDF govt stand plea claiming arrest detention waving black flags illegalOver 4,500 vacancies IITs country, govt data showsMaharashtra issues 100,000 plus verifiable diplomas Polygon blockchainAkshay Kumar says given Twinkle Khanna reason fear does: My core belief catering familyGadar actor Mithilesh Chaturvedi dies heart ailmentCeleb fitness: Kangana Ranaut impresses controlled, strong movesCUET UG 2022 Exam Analysis LIVE Updates: Phase I begins, 6.80 lakh appearWould Javelin pierce chest? Was fifth step good? Oh, bar didnt fall. 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Here videoSportsTejaswin Shankar conquers mind demons win CWG bronze medalSportsCWG: Raised single mother, cop, Tulika Maan battles odds win judo silver medalOpinionPelosis visit Taiwan provocative; Chinas angry reaction expectedFirst cargo ship left Ukraine big deal this?LifestyleCeleb fitness: Kangana Ranaut impresses controlled, strong movesTechnologyOnePlus 10T review: Doing better beforeMust ReadSportsTejaswin Shankar conquers mind demons win CWG bronze medalSportsCWG: Raised single mother, cop, Tulika Maan battles odds win judo silver medalSportsCWG 2022: Kenyas Omanyala, fastest African ever, showing excel sprints tooTechnologyOnePlus 10T review: Doing better beforeTechnologyOnePlus 10T launched India: Check price, specs moreTechnologyWith BGMI gone app stores, uncertainty grips world EsportsLifestyleCeleb fitness: Kangana Ranaut impresses controlled, strong movesAdvertisement Aug 04: Latest News Saurav Ghosal beats best friend, wins historic bronze160 packets suspected narcotic drugs discovered coastline Gir SomnathOver 4,700 seats engg, pharmacy, MBA courses reduced GujaratBMC tenders invite mixed reactions, necessity, question needFirst cases LSD Dahod: 7 cows affectedOverburdened CM struggles standstill governmentSept 12 15 Greater Noida: World Dairy Summit 2022 held India 48 yearsLumpy Skin Disease: NDDB supplied 28 lakh doses goat pox vaccine Gujarat, Rajasthan, PunjabCWG 2022: Lovepreet Singh adds 109kg bronze Indias weightlifting tallyDelhi: BJP MP Manoj Tiwari fined violating traffic rules Har Ghar Tiranga bike rallyAdvertisement Home World India North East India Arunachal Pradesh Assam Manipur Meghalaya Mizoram Nagaland Tripura Photos Entertainment Sports News Lifestyle Viral Technology Archives Videos Explained Technology Entertainment Lifestyle Food Sports Idea Exchange News Audio 3 Things Express Sports Water Likh: The Process Metro Food Hoppers The Sandip Roy Show Talking Books What Watch Weekend From Print Opinion Explained Delhi Confidential Astrology Epaper Todays Paper Sunday Eye Entertainment Bollywood Hollywood Television Music Reviews Regional Tamil Telugu Malayalam Box Office Web Series Featured What Is Who Is When Is How Research GenderAnd Sports Olympics T20 WC Badminton Cricket Football FIFA 2018 Hockey Motor Sport Tennis WWE Wrestling Tech Technology Mobile Tabs Gadgets Science Tech Reviews Social Tech News Lifestyle Books Fashion Food Wine Health Fitness Art Culture Workplace Auto Travel Trending Trending In India Trending Globally Viral Videos Bizarre Voice Parenting Food Health Fitness Learning Family Blogs Things To Do Cities News Ahmedabad Bangalore Chandigarh Chennai Delhi Jaipur Kolkata Lucknow Ludhiana Mumbai Pune Jobs Bank Jobs Defence Jobs PSU Railway UPSC Teachers Job SSC Business Aviation Banking finance Budget Business Other Companies Economy Market Education Students Voice Study Abroad More Elections Brand Solutions Top Categories; Explained News Political Pulse Latest Opinion Mumbai News Delhi News Pune News Bangalore News Bollywood News Health News India News Sports News Lifestyle News Trending NewsHoroscopeIndia NewsArt Craft Classes KidsFitness Classes KidsDance Classes KidsEntertainment NewsUPSC NewsIPL 2022 NewsBuy AllAccess pass The Indian ExpressBuy Digital PremiumCommonwealth Games 2022India Monsoon Live UpdatesChennai, Tamil Nadu News Live UpdatesKarnataka Bengaluru News Live UpdatesNew security challenge JKLATEST STORIESKerala HC seeks LDF govt stand plea claiming arrest detention waving black flags illegalOver 4,500 vacancies IITs country, govt data showsMaharashtra issues 100,000 plus verifiable diplomas Polygon blockchainAkshay Kumar says given Twinkle Khanna reason fear does: My core belief catering familyGadar actor Mithilesh Chaturvedi dies heart ailmentCeleb fitness: Kangana Ranaut impresses controlled, strong movesCUET UG 2022 Exam Analysis LIVE Updates: Phase I begins, 6.80 lakh appearWould Javelin pierce chest? Was fifth step good? Oh, bar didnt fall. I fool Tejaswin Shankar conquers mind demons win CWG bronze medal Download Apps The Indian Express website rated GREEN credibility trustworthiness Newsguard, global service rates news sources journalistic standards. Express Group The Indian Express The Financial Express Loksatta Jansatta inUth The ExpressGroup MyInsuranceClub Newsletters 2611 Stories Strength Ramnath Goenka Excellence Journalism Awards Online Classes Kids Light House Journalism Compare Term Insurance Quick Links TC Advertise Us Brand Solutions Us Statutory provisions reporting sexual offenses This website follows DNPAs code conduct CSR 2022 The Indian Express [P] Ltd. | 2,022 | [
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https://inews.co.uk/culture/books/frankissstein-a-love-story-jeanette-winterson-review-294670 | 2020-07-15T00:00:00 | en | Frankissstein, by Jeanette Winterson, review: AI meets Mary Shelley | Frankissstein, by Jeanette Winterson, review: AI meets Mary Shelley☰NewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessMediaLong ReadsConsumerNorthern IrelandScotlandReal LifeOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood and DrinkWellbeingMoneyPeopleWorkWomenHomes and GardensShoppingHow ToChristmasCarsCultureTVFilmMusicArtsBooksGamingRadioSportCricketFootballFormula 1Rugby UnionibuysTechHome & GardenBaby & ChildFashion & BeautyFood & DrinkSports & FitnessTravel & OutdoorBooks & StationeryChristmasDistractionsJokesOffbeatQuizzesFollow UsThe i newsletter cut through the noiseEmail address is invalidEmail address is invalid☰NewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessLong ReadsOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood and DrinkWellbeingMoneyPeopleWomenHomes and GardensCarsDistractionsCultureTVFilmMusicArtsBooksGamingRadioSportFootballCricketRugby UnionFormula 1SearchCultureBooksFrankissstein: A Love Story by Jeanette Winterson, review: Mary Shelley meets AI in twisty taleJeanette Winterson’s 11th novel, Frankissstein: A Love Story, opens in 1816 at the Villa Diodati on the shores of Lake […]By Lucy ScholesMay 23, 2019 6:50 pmUpdated July 9, 2020 10:21 amJeanette Winterson tackles AI in Frankisstein. Photo: Sam ChurchillJeanette Winterson’s 11th novel, Frankissstein: A Love Story, opens in 1816 at the Villa Diodati on the shores of Lake Geneva. The scene is now famous: it’s that in which 19-year-old Mary Shelley conceived Frankenstein, her novel that was published two years later in 1818.Mary and her husband are part of a notorious house party – spending the summer with Lord Byron, Mary’s stepsister Claire Clairmont (Byron’s lover), and Byron’s physician, Dr Polidori – spied on by those hoping to catch “the antics of the supposed Satanists and Sexualists who held their women in common.”From one group of forward-thinking radicals to another: Winterson entwines two narratives – one set 200 years ago, the other in the present day, peopled by contemporary counterparts of the disreputable party detailed above.The i newsletter cut through the noiseEmail address is invalidEmail address is invalidAt the heart of this second story is Ry Shelley, a young transgender doctor who, during a visit to a cryonics facility in the Arizona desert, meets and falls in love with the charismatic Victor Stein, a leading light in the world of artificial intelligence.Read more: AI: More than Human at the Barbican avoids the more disturbing aspects of its subjectSwept up in the lovebirds’ tale is Ron Lord, whose state-of-the-art sexbots have made him a fortune; the evangelical Claire, who helps Ron pioneer “the Christian Companion” (no judgment here: “Individual use is up to the individual”); and Polly D, a journalist on the hunt for a story.“It’s not survival of the fittest – it’s survival of the smartest. We are the smartest. No other species can tinker with its own destiny,” expostulates Victor, impressed by Ry’s “intervention” in their own evolution. “You are both exotic and real,” he tells his paramour. “The here and now, and a harbinger of the future.”As with all brave new worlds, though, the reality is rarely perfect. Victor envisions a bodyless utopia in which race, faith, gender and sexuality no longer exist, but if Ron Lord’s empire is anything to go by, misogyny reigns supreme. His “Deluxe” model provides three orifices and “interesting” conversation: “Ryan, you’re so clever. Ryan, I hadn’t thought about it like that. Do you know anything about Real Madrid?”Winterson jumps swiftly and effortlessly back and forth between her two narratives, the parallels between them all but drawing themselves – but this isn’t to say it’s all smooth sailing.There’s some clumsy didacticism along the way. “You are one of the few peers in England who has stood for their cause,” Shelley bizarrely feels the need to explain to Byron, “for the cause of the Luddites, against your own class and kind, when Parliament passed the Frame-Breaking Act.”Read more: Linda Grant, interview ‘These people are trying to live their lives – as things imperceptibly become darker’Later Stein tells Ry: “I’m a Bayesian.” “Is that a religious cult?” his lover asks. Cue something resembling the Wikipedia introduction to the Reverend Thomas Bayes. These moments jar, because for the most part this fast-paced novel of ideas is animated with ease and vigour. Ron’s sales pitch, for example, is as horrifying as it is hilarious. On opening his factory in Wales, creating mass-produced bodies and artisan heads: “They are quite good at handicrafts in Wales. Tea towels… pottery…”One of the most haunting elements in the text is the loss and grief that threatens to engulf Mary Shelley – steeped as her life was in death; that of her mother and her children – which Winterson evokes with a tender, piercing pain. We’re reminded that human relationships and all the emotions they entail are precisely the things that can’t be replicated. This is, after all, a love story.Frankissstein: A Love Story, by Jeanette Winterson is published by Jonathan Cape (£16.99)Book ReviewsMost PopularNo, Nasa has not just changed your star sign by discovering a 13th zodiac signScienceI was diagnosed with ADHD aged 35 - the biggest hurdle was convincing people it's realOpinionAll you need to know about Jen Reid, the BLM activist whose statue has replaced Edward ColstonUKCan I travel to Scotland or Wales from England?HealthHow the Eat Out To Help Out scheme for pubs, restaurants and cafes will workFood & DrinkThe i newsletter cut through the noiseEmail address is invalidEmail address is invalidEssentialsNewsSportLifestyleCultureOpinionibuysUseful linksContact UsAboutAdvertiseSubscribe to ii competitionsi newslettersi appFollow us onAll rights reserved. © 2020 JPIMedia Publications Ltd.Cookie SettingsDon't sell my infoTerms and ConditionsPrivacy Policy | Frankissstein, by Jeanette Winterson, review: AI meets Mary Shelley | Frankissstein, Jeanette Winterson, review: AI meets Mary ShelleyNewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessMediaLong ReadsConsumerNorthern IrelandScotlandReal LifeOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood DrinkWellbeingMoneyPeopleWorkWomenHomes GardensShoppingHow ToChristmasCarsCultureTVFilmMusicArtsBooksGamingRadioSportCricketFootballFormula 1Rugby UnionibuysTechHome GardenBaby ChildFashion BeautyFood DrinkSports FitnessTravel OutdoorBooks StationeryChristmasDistractionsJokesOffbeatQuizzesThe newsletter cut noiseEmail address invalidEmail address invalidNewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessLong ReadsOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood DrinkWellbeingMoneyPeopleWomenHomes GardensCarsDistractionsCultureTVFilmMusicArtsBooksGamingRadioSportFootballCricketRugby UnionFormula 1CultureBooksFrankissstein: A Love Story Jeanette Winterson, review: Mary Shelley meets AI twisty taleJeanette Wintersons 11th novel, Frankissstein: A Love Story, opens 1816 Villa Diodati shores Lake []By Lucy ScholesMay 23, 2019 6:50 pmUpdated July 9, 2020 10:21 amJeanette Winterson tackles AI Frankisstein. Photo: Sam ChurchillJeanette Wintersons 11th novel, Frankissstein: A Love Story, opens 1816 Villa Diodati shores Lake Geneva. The scene famous: 19yearold Mary Shelley conceived Frankenstein, novel published years later 1818.Mary husband notorious house party spending summer Lord Byron, Marys stepsister Claire Clairmont Byrons lover, Byrons physician, Dr Polidori spied hoping catch antics supposed Satanists Sexualists held women common.From group forwardthinking radicals another: Winterson entwines narratives set 200 years ago, present day, peopled contemporary counterparts disreputable party detailed above.The newsletter cut noiseEmail address invalidEmail address invalidAt heart second story Ry Shelley, young transgender doctor who, visit cryonics facility Arizona desert, meets falls love charismatic Victor Stein, leading light world artificial intelligence.Read more: AI: More Human Barbican avoids disturbing aspects subjectSwept lovebirds tale Ron Lord, stateoftheart sexbots fortune; evangelical Claire, helps Ron pioneer Christian Companion judgment here: Individual use individual; Polly D, journalist hunt story.Its survival fittest survival smartest. We smartest. No species tinker destiny, expostulates Victor, impressed Rys intervention evolution. You exotic real, tells paramour. The now, harbinger future.As brave new worlds, though, reality rarely perfect. Victor envisions bodyless utopia race, faith, gender sexuality longer exist, Ron Lords empire by, misogyny reigns supreme. His Deluxe model provides orifices interesting conversation: Ryan, youre clever. Ryan, I hadnt thought like that. Do know Real Madrid?Winterson jumps swiftly effortlessly forth narratives, parallels drawing isnt smooth sailing.Theres clumsy didacticism way. You peers England stood cause, Shelley bizarrely feels need explain Byron, cause Luddites, class kind, Parliament passed FrameBreaking Act.Read more: Linda Grant, interview These people trying live lives things imperceptibly darkerLater Stein tells Ry: Im Bayesian. Is religious cult? lover asks. Cue resembling Wikipedia introduction Reverend Thomas Bayes. These moments jar, fastpaced novel ideas animated ease vigour. Rons sales pitch, example, horrifying hilarious. On opening factory Wales, creating massproduced bodies artisan heads: They good handicrafts Wales. Tea towels potteryOne haunting elements text loss grief threatens engulf Mary Shelley steeped life death; mother children Winterson evokes tender, piercing pain. Were reminded human relationships emotions entail precisely things replicated. This is, all, love story.Frankissstein: A Love Story, Jeanette Winterson published Jonathan Cape 16.99Book ReviewsMost PopularNo, Nasa changed star sign discovering 13th zodiac signScienceI diagnosed ADHD aged 35 biggest hurdle convincing people realOpinionAll need know Jen Reid, BLM activist statue replaced Edward ColstonUKCan I travel Scotland Wales England?HealthHow Eat Out To Help Out scheme pubs, restaurants cafes workFood DrinkThe newsletter cut noiseEmail address invalidEmail address invalidEssentialsNewsSportLifestyleCultureOpinionibuysUseful links UsAboutAdvertise ii competitionsi newslettersi appFollow on. 2020 JPIMedia Publications Ltd. SettingsDont sell info | 2,020 | [
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https://insidehpc.com/2022/10/successfully-deploy-composable-infrastructure-on-the-edge-to-improve-hpc-and-ai-outside-of-traditional-data-centers/ | 2022-11-01T00:00:00 | en | Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers - High-Performance Computing News Analysis | insideHPC |
Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers - High-Performance Computing News Analysis | insideHPC
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Leave this field empty if you're human: Home » News » Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data CentersSponsored ContentSuccessfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers
October 31, 2022 by staff Leave a Comment Sponsored by:Enterprises are generating more data than ever and are constantly searching for applications that reliably compute significant amounts of sensitive information. To accomplish this, organizations require a modernized IT infrastructure. Today, these infrastructures will be required to handle high-performance computing (HPC) or artificial intelligence (AI) workloads. And these kinds of workloads are even more challenging to implement if you rely on edge computing to meet organizational goals.
Invariably, harsh environments have existed for every industry. For example, industries such as aerospace and defense, transportation, and manufacturing often have strict requirements for data infrastructure footprint, environmental safety, power, as well as other criteria for ruggedized equipment. This can all come at a tremendous, never-ending cost.
From a financial perspective, investing in a more robust edge network certainly saves money at the data center bandwidth level, but the approach requires its own hefty expenses. A common problem has always been in solving how to make the edge a multi-tenant environment ensuring custom logic can be executed quickly and reliably. In short, the evolution of edge computing has been difficult and costly.
Benefits of Composable Infrastructure on the Edge
Until recently, the task of moving outside of traditional data centers has relied on costly, inflexible, low performance equipment that, as a result, impedes ROI for businesses. For this reason, many organizations today are choosing composable disaggregated infrastructure (CDI) on the edge to solve this, as well as several other challenges related to edge computing. The benefits of CDI technologies in edge data centers also include supporting constantly changing workload requirements as edge devices and use cases evolve over time.
At Silicon Mechanics, we believe CDI provides a great option for those looking to achieve HPC and AI on the edge. At its core, CDI refers to the use of software and low-latency fabrics to pool hardware resources so they can be dynamically combined to meet shifting workload needs. CDI software is also completely re-configurable on the fly. It gives your organization the ability to achieve the cost and availability benefits of cloud computing using on-premises networking equipment. A flexible system configuration and bare metal performance within physically limited environments is possible with composable infrastructure on the edge.
Achieving Edge AI and HPC with CDI
To successfully deploy HPC and AI edge clusters, your design team needs to understand both accelerated computing and edge form factors. The good news is, there are several solutions which have modified and, in some cases, eliminated the barriers preventing achieving edge AI and HPC. Specifically, NVIDIA’s GPU acceleration is even more efficient than 5G as it allows on-site processing.
Silicon Mechanics addresses a multitude of challenges with the Titania CDI Edge Cluster. Our experts create custom engineered CDI for flexible system configurations complete with NVIDIA 200Gbps, HDR InfiniBand, and bare metal performance within physically limited environments like edge. The Titania cluster is purpose-built to support cloud and accelerated workloads at the edge without the need for virtualization, delivering bare metal performance of HPC, AI, and even ML at the edge.
Resources including GPUs, FPGAs, and NVMe storage are seamlessly connected using PCIe-connected resources, allowing you to scale each element independently. The Titania cluster is ready to deploy into diverse operating environments, with ruggedized and MIL-SPEC rack design options.
Using CDI Technologies to Your Advantage
These emerging CDI technologies allow you to achieve the cost and availability benefits of cloud computing using on-premises networking equipment. You also benefit from extreme flexibility, being able to dynamically recompose systems and support nearly any workload. Thanks to innovative engineering, these benefits are now available on the edge.
Whether you invest in large conglomerate cloud or in distributed edge devices for your computing needs, networking technology is always a major investment. Edge computing has both its advantages and disadvantages, but most IT experts agree that it isn’t going away, especially with the forecasted growth of 5G.
The experts at Silicon Mechanics build custom reference architecture like Titania for in-field HPC and even deep learning (DL) inference that operate on limited power, in small footprints, and in unique edge conditions. Learn even more about the Silicon Mechanics Titania Edge CDI Cluster here.
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| Successfully Deploy Composable Infrastructure on the Edge to Improve HPC and AI Outside of Traditional Data Centers | Successfully Deploy Composable Infrastructure Edge Improve HPC AI Outside Traditional Data Centers 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 News Successfully Deploy Composable Infrastructure Edge Improve HPC AI Outside Traditional Data CentersSponsored ContentSuccessfully Deploy Composable Infrastructure Edge Improve HPC AI Outside Traditional Data Centers October 31, 2022 staff Leave Comment Sponsored by:Enterprises generating data constantly searching applications reliably compute significant amounts sensitive information. To accomplish this, organizations require modernized IT infrastructure. Today, infrastructures required handle highperformance computing HPC artificial intelligence AI workloads. And kinds workloads challenging implement rely edge computing meet organizational goals. Invariably, harsh environments existed industry. For example, industries aerospace defense, transportation, manufacturing strict requirements data infrastructure footprint, environmental safety, power, criteria ruggedized equipment. This come tremendous, neverending cost. From financial perspective, investing robust edge network certainly saves money data center bandwidth level, approach requires hefty expenses. A common problem solving edge multitenant environment ensuring custom logic executed quickly reliably. In short, evolution edge computing difficult costly. Benefits Composable Infrastructure Edge Until recently, task moving outside traditional data centers relied costly, inflexible, low performance equipment that, result, impedes ROI businesses. For reason, organizations today choosing composable disaggregated infrastructure CDI edge solve this, challenges related edge computing. The benefits CDI technologies edge data centers include supporting constantly changing workload requirements edge devices use cases evolve time. At Silicon Mechanics, believe CDI provides great option looking achieve HPC AI edge. At core, CDIrefers use software lowlatency fabrics pool hardware resources dynamically combined meet shifting workload needs. CDI software completely reconfigurable fly. It gives organization ability achieve cost availability benefits cloud computing onpremises networking equipment. A flexible configuration bare metal performancewithin physically limited environments possible composable infrastructure edge. Achieving Edge AI HPC CDI To successfully deploy HPC AI edge clusters, design team needs understand accelerated computing edge form factors. The good news is, solutions modified and, cases, eliminated barriers preventing achieving edge AI HPC. Specifically, NVIDIAs GPU acceleration efficient 5G allows onsite processing. Silicon Mechanics addresses multitude challenges Titania CDI Edge Cluster. Our experts create custom engineered CDI flexible configurations complete NVIDIA 200Gbps, HDR InfiniBand, bare metal performance physically limited environments like edge. The Titania cluster purposebuilt support cloud accelerated workloads edge need virtualization, delivering bare metal performance HPC, AI, ML edge. Resources including GPUs, FPGAs, NVMe storage seamlessly connected PCIeconnected resources, allowing scale element independently. The Titania cluster ready deploy diverse operating environments, ruggedized MILSPEC rack design options. Using CDI Technologies Your Advantage These emerging CDI technologies allow achieve cost availability benefits cloud computing onpremises networking equipment. You benefit extreme flexibility, able dynamically recompose systems support nearly workload. Thanks innovative engineering, benefits available edge. Whether invest large conglomerate cloud distributed edge devices computing needs, networking technology major investment. Edge computing advantages disadvantages, IT experts agree isnt going away, especially forecasted growth 5G. The experts Silicon Mechanics build custom reference architecture like Titania infield HPC deep learning DL inference operate limited power, small footprints, unique edge conditions. Learn Silicon Mechanics Titania Edge CDI Cluster here. tweet shareshare share email Related Posts Filed Under: Accelerator, Compute, Datacenter, Enterprise HPC, Google News Feed, GPU Cluster, GPUs, HPC Hardware, HPC Software, HPCAI, Main Feature, News, Sponsored Post, Uncategorized Tagged With: CDI, CDI software, CDI technologies, composable infrastructure, Edge AI, GPU, hpc, Silicon Mechanics, Weekly featured Newsletter Articles, Weekly Featured Newsletter Post 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 Bright Computing Cluster Service VMware This whitepaper Bright Computing discusses advanced automation, Bright Cluster Manager eliminates complexity building managing highperformance Linux clusters, enabling greater organizational efficiency flexibility. And now, Bright Cluster Manager supports clusters VMware vSphereand goes step enable highperformance clusters service. Download See More White Papers Find on: Featured Job Senior Linux Storage EngineerCarnegie Mellon UniversityPittsburghLearn More Other JobsSenior Computational SpecialistSenior Research Software EngineerSecure Research Data Environment EngineerSee Jobs Post Job 2022 About insideHPC Advertise insideHPC Visit Our Other Site insideBIGDATA Service Terms Return 2022 News Theme Inside HPC Genesis Framework WordPress Log | 2,022 | [
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https://investingnews.com/news/emerging-tech-investing/perimeter-medical-imaging-ai-receives-u.s.fda-breakthrough-device-designation-for-its-optical-coherence-tomography-imaging-system-with-imgassist-ai/ | 2021-04-15T00:00:00 | en | Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation for its Optical Coherence Tomography Imaging System with ImgAssist AI |
Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation for its Optical Coherence Tomography Imaging System with ImgAssist AI
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Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation for its Optical Coherence Tomography Imaging System with ImgAssist AI
Investing News Network - April 15th, 2021
New designation provides potential pathway to expedite adoption of Perimeter’s transformative medical imaging technology combined with artificial intelligence Perimeter Medical Imaging AI, Inc. a medical technology company driven to transform cancer surgery with ultra-high-resolution, real-time, advanced imaging tools to address high unmet medical needs, announced today that the U.S. Food and Drug Administration has …
New designation provides potential pathway to expedite adoption of Perimeter’s transformative medical imaging technology combined with artificial intelligence
Perimeter Medical Imaging AI, Inc. (TSX-V:PINK)(OTC:PYNKF) (FSE:4PC) (“Perimeter” or the “Company”), a medical technology company driven to transform cancer surgery with ultra-high-resolution, real-time, advanced imaging tools to address high unmet medical needs, announced today that the U.S. Food and Drug Administration (FDA) has granted the company a Breakthrough Device Designation for its Optical Coherence Tomography (OCT) Imaging System coupled with ImgAssist AI. Perimeter is advancing its proprietary, next-gen artificial intelligence technology and machine learning tools through clinical development under its ATLAS AI project, which is made possible, in part, by a $7.4 million grant awarded by the Cancer Prevention and Research Institute of Texas (CPRIT), a leading state body funding cancer research.
The goal of the FDA’s Breakthrough Devices Program is to provide patients and health care providers with timely access to medical devices that provide for more effective treatment or diagnosis of life-threatening or irreversibly debilitating diseases or conditions by speeding up their development, assessment, and review. This designation allows for accelerated interactions with the FDA during product development and prioritized review of future regulatory submissions. In addition, a new Medicare policy program (Medicare Coverage of Innovative Technology, or MCIT) provides national Medicare coverage for up to four years for FDA-designated Breakthrough Devices upon market authorization, enabling more rapid utilization of new and innovative technologies for the Medicare population.
Liz Munro, Perimeter’s co-founder and President of Canadian Operations commented, “Since company inception, the Perimeter team’s vision has been to develop imaging tools that have the potential to improve outcomes for clinicians, payors and most importantly patients and their families. We are thrilled that FDA has granted Breakthrough Device Designation for our OCT Imaging System with ImgAssist AI, recognizing the potential of our device to offer significant advantages over existing alternatives for intra-operative evaluation of margins during breast cancer lumpectomy. We are grateful to the FDA review team for our productive interactions, as well as their timely review of this submission, and look forward to working with FDA through the final stages of development and clinical validation of this exciting product.”
Jeremy Sobotta, Perimeter’s Chief Executive Officer stated, “Achieving a Breakthrough Device Designation from the FDA further validates our strong belief that Perimeter’s novel OCT Imaging System combined with AI has the potential to be a transformative, disruptive new technology aimed at helping surgeons treat breast cancer. This Breakthrough Designation, combined with the Centers for Medicare & Medicaid Services’ (CMS) initiatives around MCIT, have the potential to provide a pathway to expediting adoption of this innovative technology. We are committed to providing physicians with ultra-high-resolution images of excised breast tissue ‘real-time’ during a surgical procedure combined with added artificial intelligence tools to help them interpret areas suspicious for cancer, with the goal of improving patient outcomes and lowering healthcare costs.”
About Perimeter Medical Imaging AI, Inc.
Perimeter Medical Imaging AI (TSX-V:PINK)(OTC:PYNKF)(FSE:4PC) is a Toronto-based company with U.S. headquarters in Dallas, Texas that is developing and commercializing advanced imaging tools that allow surgeons, radiologists, and pathologists to visualize microscopic tissue structures during a clinical procedure. Perimeter’s Optical Coherence Tomography (OCT) Imaging System provides clinicians with real-time, ultra-high-resolution, sub-surface image volumes of the margin (1-2 mm below the surface) of an excised tissue specimen. The ability to visualize microscopic tissue structures during a clinical procedure in addition to standard of care tissue assessment for decision making during the procedure has the potential to result in better long-term outcomes for patients and lower costs to the healthcare system. Perimeter’s OCT Imaging System is cleared by the FDA as an imaging tool in the evaluation of excised human tissue microstructure by providing two-dimensional, cross-sectional, real-time depth visualization, with image review manipulation software for identifying and annotating regions of interest. In addition, Perimeter is advancing its proprietary, next-gen artificial intelligence technology and machine learning tools through clinical development under its ATLAS AI project, which is made possible, in part, by a $7.4 million grant awarded by the Cancer Prevention and Research Institute of Texas (CPRIT). Perimeter’s ticker symbol “PINK” is a reference to the pink ribbons used during Breast Cancer Awareness Month by the Canadian Cancer Society and the American Cancer Society, driving home the company’s dedication to helping surgeons, radiologists and pathologists use Perimeter’s imaging technology and AI in the fight against breast cancer, which is estimated to account for 30% of all female cancer diagnoses this year.
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Forward-Looking Statements
This news release contains statements that may constitute “forward-looking information” within the meaning of applicable Canadian securities legislation. In this news release, words such as “may”, “would”, “could”, “will”, “likely”, “believe”, “expect”, “anticipate”, “intend”, “plan”, “estimate” and similar words and the negative form thereof are used to identify forward-looking statements. Forward-looking information may relate to management’s future outlook and anticipated events or results, and may include statements or information regarding the timing of and results from clinical studies, the clinical development of Perimeter’s ImgAssist AI technology, the commercialization of Perimeter’s OCT Imaging System, the impact of FDA Breakthrough Designation on future regulatory submissions or Medicare approvals, future financial position, business strategy and strategic goals, competitive conditions, research and development activities, projected costs and capital expenditures, financial results, research and clinical testing outcomes, taxes and plans and objectives of, or involving, Perimeter. Without limitation, information regarding potential future development and commercialization activities are forward-looking information. Forward-looking statements should not be read as guarantees of future performance or results, and will not necessarily be accurate indications of whether, or the times at or by which, such future performance will be achieved. No assurance can be given that any events anticipated by the forward-looking information will transpire or occur. Forward-looking information is based on information available at the time and/or management’s good-faith belief with respect to future events and are subject to known or unknown risks, uncertainties, assumptions and other unpredictable factors, many of which are beyond Perimeter’s control. Such forward-looking statements reflect Perimeter’s current view with respect to future events, but are inherently subject to significant medical, scientific, business, economic, competitive, political, and social uncertainties and contingencies. In making forward-looking statements, Perimeter may make various material assumptions, including but not limited to (i) the accuracy of Perimeter’s financial projections; (ii) obtaining positive results from trials; (iii) obtaining necessary regulatory approvals; and (iv) general business, market and economic conditions. Further risks, uncertainties and assumptions include, but are not limited to, those applicable to Perimeter and described the joint information circular dated May 12, 2020, prepared in respect of the securityholder meetings held on June 17, 2020 a copy of which is available on Perimeter’s SEDAR profile at www.sedar.com , and could cause actual events or results to differ materially from those projected in any forward-looking statements. In particular, we note the risk that our technology may not achieve the anticipated benefits in terms of surgical outcomes. Perimeter does not intend, nor does Perimeter undertake any obligation, to update or revise any forward-looking information contained in this news release to reflect subsequent information, events, or circumstances or otherwise, except if required by applicable laws.
View source version on businesswire.com: https://www.businesswire.com/news/home/20210415005307/en/
Jodi Regts Corporate Communications / Investor Relations Perimeter Medical Imaging AI, Inc. +1 778-999-5634 [email protected]
News Provided by Business Wire via QuoteMedia
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| Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation for its Optical Coherence Tomography Imaging System with ImgAssist AI | Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation Optical Coherence Tomography Imaging System ImgAssist AI Emerging Tech Investing News . My INN BIOTECH PSYCHEDELICS Pharmaceutical Medical Devices Genetics Life Science Stocks Free Investor Reports for: BIOTECH PSYCHEDELICS Pharmaceutical Medical Devices Genetics Life Science Stocks Free Investor Reports Perimeter Medical Imaging AI Receives U.S. FDA Breakthrough Device Designation Optical Coherence Tomography Imaging System ImgAssist AI Investing News Network April 15th, 2021 New designation provides potential pathway expedite adoption Perimeters transformative medical imaging technology combined artificial intelligence Perimeter Medical Imaging AI, . medical technology company driven transform cancer surgery ultrahighresolution, realtime, advanced imaging tools address high unmet medical needs, announced today U.S. Food Drug Administration New designation provides potential pathway expedite adoption Perimeters transformative medical imaging technology combined artificial intelligence Perimeter Medical Imaging AI, . TSXV:PINKOTC:PYNKF FSE:4PC Perimeter Company, medical technology company driven transform cancer surgery ultrahighresolution, realtime, advanced imaging tools address high unmet medical needs, announced today U.S. Food Drug Administration FDA granted company Breakthrough Device Designation Optical Coherence Tomography OCT Imaging System coupled ImgAssist AI. Perimeter advancing proprietary, nextgen artificial intelligence technology machine learning tools clinical development ATLAS AI project, possible, part, 7.4 million grant awarded Cancer Prevention Research Institute Texas CPRIT, leading state body funding cancer research. The goal FDAs Breakthrough Devices Program provide patients health care providers timely access medical devices provide effective treatment diagnosis lifethreatening irreversibly debilitating diseases conditions speeding development, assessment, review. This designation allows accelerated interactions FDA product development prioritized review future regulatory submissions. In addition, new Medicare policy program Medicare Coverage Innovative Technology, MCIT provides national Medicare coverage years FDAdesignated Breakthrough Devices market authorization, enabling rapid utilization new innovative technologies Medicare population. Liz Munro, Perimeters cofounder President Canadian Operations commented, Since company inception, Perimeter teams vision develop imaging tools potential improve outcomes clinicians, payors importantly patients families. We thrilled FDA granted Breakthrough Device Designation OCT Imaging System ImgAssist AI, recognizing potential device offer significant advantages existing alternatives intraoperative evaluation margins breast cancer lumpectomy. We grateful FDA review team productive interactions, timely review submission, look forward working FDA final stages development clinical validation exciting product. Jeremy Sobotta, Perimeters Chief Executive Officer stated, Achieving Breakthrough Device Designation FDA validates strong belief Perimeters novel OCT Imaging System combined AI potential transformative, disruptive new technology aimed helping surgeons treat breast cancer. This Breakthrough Designation, combined Centers Medicare Medicaid Services CMS initiatives MCIT, potential provide pathway expediting adoption innovative technology. We committed providing physicians ultrahighresolution images excised breast tissue realtime surgical procedure combined added artificial intelligence tools help interpret areas suspicious cancer, goal improving patient outcomes lowering healthcare costs. About Perimeter Medical Imaging AI, . Perimeter Medical Imaging AI TSXV:PINKOTC:PYNKFFSE:4PC Torontobased company U.S. headquarters Dallas, Texas developing commercializing advanced imaging tools allow surgeons, radiologists, pathologists visualize microscopic tissue structures clinical procedure. Perimeters Optical Coherence Tomography OCT Imaging System provides clinicians realtime, ultrahighresolution, subsurface image volumes margin 12 mm surface excised tissue specimen. The ability visualize microscopic tissue structures clinical procedure addition standard care tissue assessment decision making procedure potential result better longterm outcomes patients lower costs healthcare system. Perimeters OCT Imaging System cleared FDA imaging tool evaluation excised human tissue microstructure providing twodimensional, crosssectional, realtime depth visualization, image review manipulation software identifying annotating regions interest. In addition, Perimeter advancing proprietary, nextgen artificial intelligence technology machine learning tools clinical development ATLAS AI project, possible, part, 7.4 million grant awarded Cancer Prevention Research Institute Texas CPRIT. Perimeters ticker symbol PINK reference pink ribbons Breast Cancer Awareness Month Canadian Cancer Society American Cancer Society, driving home companys dedication helping surgeons, radiologists pathologists use Perimeters imaging technology AI fight breast cancer, estimated account 30 female cancer diagnoses year. Neither TSX Venture Exchange Regulation Services Provider term defined policies TSX Venture Exchange accepts responsibility adequacy accuracy release. ForwardLooking Statements This news release contains statements constitute forwardlooking information meaning applicable Canadian securities legislation. In news release, words may, would, could, will, likely, believe, expect, anticipate, intend, plan, estimate similar words negative form thereof identify forwardlooking statements. Forwardlooking information relate managements future outlook anticipated events results, include statements information timing results clinical studies, clinical development Perimeters ImgAssist AI technology, commercialization Perimeters OCT Imaging System, impact FDA Breakthrough Designation future regulatory submissions Medicare approvals, future financial position, business strategy strategic goals, competitive conditions, research development activities, projected costs capital expenditures, financial results, research clinical testing outcomes, taxes plans objectives of, involving, Perimeter. Without limitation, information potential future development commercialization activities forwardlooking information. Forwardlooking statements read guarantees future performance results, necessarily accurate indications whether, times which, future performance achieved. No assurance given events anticipated forwardlooking information transpire occur. Forwardlooking information based information available time andor managements goodfaith belief respect future events subject known unknown risks, uncertainties, assumptions unpredictable factors, Perimeters control. Such forwardlooking statements reflect Perimeters current view respect future events, inherently subject significant medical, scientific, business, economic, competitive, political, social uncertainties contingencies. In making forwardlooking statements, Perimeter material assumptions, including limited accuracy Perimeters financial projections; ii obtaining positive results trials; iii obtaining necessary regulatory approvals; iv general business, market economic conditions. Further risks, uncertainties assumptions include, limited to, applicable Perimeter described joint information circular dated May 12, 2020, prepared respect securityholder meetings held June 17, 2020 copy available Perimeters SEDAR profile , cause actual events results differ materially projected forwardlooking statements. In particular, note risk technology achieve anticipated benefits terms surgical outcomes. Perimeter intend, Perimeter undertake obligation, update revise forwardlooking information contained news release reflect subsequent information, events, circumstances otherwise, required applicable laws. View source version : Jodi Regts Corporate Communications Investor Relations Perimeter Medical Imaging AI, . 1 7789995634 media News Provided Business Wire QuoteMedia Request Investor Kit: Perimeter Medical Imaging AI lude Accredited Investor email list Some investment opportunities limited accredited investors. Whether accredited investor depends live criteria. For details search accredited investor search bar above. By completing form, giving consent receive communication Perimeter Medical Imaging AI contact information provide. And remember unsubscribe time. Related posts Perimeter Medical Imaging: Ready help, ready grow Perimeter Medical Imaging AI: Developing Next Generation PointofCare Specimen Imaging Perimeter Medical Imaging AI Announces Appointment Aaron Davidson Director Perimeter Medical Imaging AI Announces Listing Frankfurt Stock Exchange Tags Tags: Perimeter Medical Imaging AI, TSXV:PINK Leave Reply Cancel replyYou logged post comment. for: See exclusive index Emerging Tech companies EXPLORE Free Investor Reports Start Here Free Reports New Investors Download free reports Resource Investing Investing Australia: Rich ResourcesThe Oil Gas Industry OutlookSilver Gold Manipulation: Are Prices Suppressed?Resource Forecast 2021Precious Metals Outlook: CEOs, Analysts Gold, Silver PlatinumCritical Metals Stocks To WatchThe Battery Metals Market 2021 Tech Investing Australia Tech Outlook Big Global Names Homegrown StartupsGold vs Bitcoin Dogfight Detente?Tech Forecast Promising Tech Stocks To BuyStart Here Investing NanoscienceStart Here Investing CleantechTech Australia: Investing Down UnderStart Here Investing Robotics Life Science Investing Start Here Investing PsychedelicsStart Here Investing GeneticsLife Science Healthcare Investing 2021Psychedelics Outlook Plotting New CourseArchived Coronavirus Investing: An Overview InvestorsArchived Pharmaceutical Investing Principles And Pharmaceutical Stocks To BuyArchived Biotech Investing Top Stocks, ETFs Future Prospects Browse Topics Resource Investing Agriculture InvestingPhosphate InvestingPotash InvestingBase Metals InvestingCopper InvestingIron InvestingLead InvestingNickel InvestingZinc InvestingBattery Metals InvestingCobalt InvestingGraphite InvestingLithium InvestingManganese InvestingVanadium InvestingCritical Metals InvestingMagnesium InvestingRare Earth InvestingScandium InvestingTantalum InvestingTellurium InvestingTungsten InvestingEnergy InvestingOil Gas InvestingUranium InvestingGem InvestingDiamond InvestingIndustrial Metals InvestingAluminum InvestingChromium InvestingCoal InvestingMolybdenum InvestingTin InvestingPrecious Metals InvestingGold InvestingPalladium InvestingPlatinum InvestingSilver Investing Tech Investing 3D Printing InvestingBitcoin InvestingBlockchain InvestingCleantech InvestingCloud InvestingCryptocurrenciesData InvestingEmerging Tech InvestingArtificial Intelligence InvestingMobile InvestingRobotics InvestingFintech InvestingGaming InvestingEsports InvestingNanoscience InvestingGraphene InvestingNanotech InvestingSecurity Investing Life Science Investing Biotech InvestingGenetics InvestingLongevity InvestingMedical Device InvestingPharmaceutical InvestingPsychedelics Investing Featured stocks Snowline GoldA Cornerstone Position New Gold District YukonVanstar Mining ResourcesXander ResourcesAzincourt EnergyFabled Silver Gold See featured stocks Investing News Network Your trusted source investing success Manage account Us Disclaimer Stocks Author Index Australia Investing Keyword Index Browse Topics Advertise Careers Free Report Events Partner INN 2021 Dig Media . | 2,021 | [
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https://investorplace.com/2023/06/ai-predictions-for-triple-digit-lithium-stocks-in-2024/ | 2023-06-28T00:00:00 | en | 3 Lithium Stocks That AI Predicts Will Deliver Triple-Digit Returns in 2024 | InvestorPlace |
3 Lithium Stocks That AI Predicts Will Deliver Triple-Digit Returns in 2024 | InvestorPlace
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Home / Expert Stock Picks / Stocks to Buy / 3 Lithium Stocks That AI Predicts Will Deliver Triple-Digit Returns in 2024
SPECIAL REPORT
5 Artificial Intelligence Stocks to Buy Before They Skyrocket
3 Lithium Stocks That AI Predicts Will Deliver Triple-Digit Returns in 2024
These are some of the hottest lithium stocks ChatGPT could come up with
June 27, 2023
By
Ian Cooper, InvestorPlace Contributor
Jun 27, 2023, 6:50 pm EDT
June 27, 2023
Here are three of the hottest lithium stocks according to ChatGPT.Lithium Americas (LAC): Its Cauchari-Olaroz Lithium Project is sparking big interest.Livent (LTHM): ChatGPT likes the potential in its dedication to supplying lithium compounds.Ganfeng Lithium (GNENF): ChatGPT says it’s “pushing the boundaries of battery technology.”
Source: khunkornStudio / Shutterstock.com
ChatGPT makes it clear it can’t predict stock performance with lithium stocks to buy. In fact, every time I’ve asked it for stock picks, it first explains: “Please note that these are not predictions, and stock performance is subject to various market factors and individual circumstances. It’s important to conduct thorough research and consult with a financial advisor before making any investment decisions.”
After all, even ChatGPT has to protect itself legally.
What it can do is generate lists of top-performing companies in specific sectors. With lithium, for example, it gave me names such as Albemarle (NYSE:ALB), Socieded Quimica (NYSE:SQM), Ganfeng Lithium (OTCMKTS:GNENF), Lithium Americas (NYSE:LAC), and Livent (NYSE:LTHM). Trying again for a better answer, I asked ChatGPT to tell me a story about an investor that picks top lithium stocks to buy that could double or triple. This time, ChatGPT told me a bit more, naming its investor Emily and noting:
“Armed with knowledge and conviction, Emily carefully built a diversified portfolio of lithium stocks. She recognized Albemarle’s well-established position in the industry and its commitment to sustainable lithium extraction practices. SQM, with its abundant lithium reserves, appealed to her as a reliable player in the market.
Emily was captivated by the innovative prowess of Ganfeng Lithium, a company pushing the boundaries of battery technology. She also saw potential in Livent Corporation’s dedication to supplying lithium compounds for the expanding electric vehicle and energy storage sectors. Lastly, Lithium Americas Corp’s Cauchari-Olaroz Lithium Project sparked her interest as a promising development with significant growth potential.”
While I agree with SQM and ALB, here are three lithium stocks to buy in my opinion that could triple.
Lithium Americas (LAC)
Source: Wirestock Creators / Shutterstock.com
At $20 a share, Lithium Americas (NYSE:LAC) has explosive catalysts. For one, it’s operating the Thacker Pass lithium mine with General Motors (NYSE:GM). The company is expected to make its first deliveries in the second half of 2026 which should pull in solid revenue.
Furthermore, the company recently announced that its Caucharí-Olaroz project just produced its first lower-than-battery-quality lithium carbonate as part of commissioning. In addition, the company is splitting in two. Lithium Argentina will focus on the company’s Caucharí-Olaroz, Pastos Grandes project, and Sal de la Puna. Meanwhile, Lithium Americas will focus on its Thacker Pass lithium project in Humboldt County, Nevada.
Livent (LTHM)
Source: Ralf Liebhold / Shutterstock
At $26 a share, Livent (NYSE:LTHM) is another hot lithium stock that could triple by 2024.
For one, ChatGPT likes the potential of Livent Corporation’s dedication to supplying lithium compounds for the expanding electric vehicle and energy storage sectors.
As I noted on May 18, “The company has 17 offices or manufacturing facilities, including its “largest and most diverse manufacturing facility” in North Carolina. It will soon start phase two of its carbonate capacity expansion in Argentina, with commercial production following.
Finally, not only have earnings been solid but so has guidance. In fact, it now expects full-year EBITDA to fall between $530 million and $600 million. That’s well above prior EBITDA guidance for $510 million to $530 million.
Ganfeng Lithium (GNENF)
Source: T. Schneider / Shutterstock.com
We can also look at Ganfeng Lithium (OTCMKTS:GNENF) which ChatGPT says is “pushing the boundaries of battery technology.” At $6.62 a share, GNENF is China’s largest producer of base materials for lithium battery manufacturing. Even more reassuring, according to Motley Fool contributor Nicholas Rossolillo:
“Given the sheer size of China’s population (1.4 billion) and the rapid rise in EV sales, Ganfeng is well positioned as a top supplier to EV manufacturers based in China as well as to U.S. EV manufacturers such as Tesla (NASDAQ:TSLA).”
The company is investing nearly $360 million in the Chinese city of Xiangyang to build a new lithium battery project. It’s also investing about $130 million into an Argentinian subsidiary to develop a lithium mine. With expansion on the horizon, this is a lithium stock to consider.
On the date of publication, Ian Cooper did not have (either directly or indirectly) any positions in the securities mentioned. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.
Ian Cooper, a contributor to InvestorPlace.com, has been analyzing stocks and options for web-based advisories since 1999.
Energy, Renewable Energy, Battery, Lithium
Growth Stocks
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Article printed from InvestorPlace Media, https://investorplace.com/2023/06/ai-predictions-for-triple-digit-lithium-stocks-in-2024/.
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| 3 Lithium Stocks That AI Predicts Will Deliver Triple-Digit Returns in 2024 | 3 Lithium Stocks That AI Predicts Will Deliver TripleDigit Returns 2024 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 Home Expert Stock Picks Stocks Buy 3 Lithium Stocks That AI Predicts Will Deliver TripleDigit Returns 2024 SPECIAL REPORT 5 Artificial Intelligence Stocks Buy Before They Skyrocket 3 Lithium Stocks That AI Predicts Will Deliver TripleDigit Returns 2024 These hottest lithium stocks ChatGPT come June 27, 2023 By Ian Cooper, InvestorPlace Contributor Jun 27, 2023, 6:50 pm EDT June 27, 2023 Here hottest lithium stocks according ChatGPT.Lithium Americas LAC: Its CauchariOlaroz Lithium Project sparking big interest.Livent LTHM: ChatGPT likes potential dedication supplying lithium compounds.Ganfeng Lithium GNENF: ChatGPT says pushing boundaries battery technology. Source: khunkornStudio ChatGPT makes clear predict stock performance lithium stocks buy.In fact, time Ive asked stock picks, explains: Please note predictions, stock performance subject market factors individual circumstances. Its important conduct thorough research consult financial advisor making investment decisions. After all, ChatGPT protect legally. What generate lists topperforming companies specific sectors. With lithium, example, gave names Albemarle NYSE:ALB, Socieded Quimica NYSE:SQM, Ganfeng Lithium OTCMKTS:GNENF, Lithium Americas NYSE:LAC, Livent NYSE:LTHM. Trying better answer, I asked ChatGPT tell story investor picks lithium stocks buy double triple. This time, ChatGPT told bit more, naming investor Emily noting: Armed knowledge conviction, Emily carefully built diversified portfolio lithium stocks. She recognized Albemarles wellestablished position industry commitment sustainable lithium extraction practices. SQM, abundant lithium reserves, appealed reliable player market. Emily captivated innovative prowess Ganfeng Lithium, company pushing boundaries battery technology. She saw potential Livent Corporations dedication supplying lithium compounds expanding electric vehicle energy storage sectors. Lastly, Lithium Americas Corps CauchariOlaroz Lithium Project sparked promising development significant growth potential. While I agree SQM ALB, lithium stocks buy opinion triple. Lithium Americas LAC Source: Wirestock Creators At 20 share, Lithium Americas NYSE:LAC explosive catalysts. For one, operating Thacker Pass lithium General MotorsNYSE:GM. The company expected deliveries second half 2026 pull solid revenue. Furthermore, company recently announced CaucharOlaroz projectjust produced lowerthanbatteryquality lithium carbonate commissioning. In addition, company splitting two. Lithium Argentina focus companys CaucharOlaroz, Pastos Grandes project, Sal la Puna. Meanwhile, Lithium Americas focus Thacker Pass lithium project Humboldt County, Nevada. Livent LTHM Source: Ralf Liebhold Shutterstock At 26 share, Livent NYSE:LTHM hot lithium stock triple 2024. For one, ChatGPT likes potential Livent Corporations dedication supplying lithium compounds expanding electric vehicle energy storage sectors. As I noted May 18, The company 17 offices manufacturing facilities,including largest diverse manufacturing facility North Carolina. It soon startphase carbonate capacity expansion Argentina, commercial production following. Finally, earnings solid guidance. In fact, expects fullyear EBITDA fall 530 million 600 million. Thats prior EBITDA guidance 510 million 530 million. Ganfeng Lithium GNENF Source: T. Schneider We look Ganfeng Lithium OTCMKTS:GNENF ChatGPT says pushing boundaries battery technology. At 6.62 share, GNENF Chinas largest producer base materials lithium battery manufacturing. Even reassuring, according Motley Fool contributor Nicholas Rossolillo: Given sheer size Chinas population 1.4 billion rapid rise EV sales, Ganfeng positioned supplier EV manufacturers based China U.S. EV manufacturers Tesla NASDAQ:TSLA. The company investing nearly 360 million Chinese city Xiangyang build new lithium battery project. Its investing 130 million Argentinian subsidiary develop lithium mine. With expansion horizon, lithium stock consider. On date publication, Ian Cooper directly indirectly positions securities mentioned. The opinions expressed article writer, subject Publishing Guidelines. Ian Cooper, contributor , analyzing stocks options webbased advisories 1999. Energy, Renewable Energy, Battery, Lithium Growth Stocks Submit Article printed InvestorPlace Media, 2023 InvestorPlace Media, LLC Sponsored Headlines More InvestorPlace Market Analysis AI Is Unlocking Major Wealth Potential Robotics Stocks By Luke Lango Jun 27, 2023 Hot Stocks SHOP Stock Outlook: Why Shopify Bears Are Making Mountain Out Molehill By Louis Navellier InvestorPlace Research Staff Jun 27, 2023 Todays Market 5 Investors Betting Big Lordstown Motors RIDE Stock By Samuel OBrient Jun 27, 2023 ADVERTISEMENT Most Popular Market Analysis Jun 26, 2023 Weekly Upgrades Downgrades Stocks Buy Jun 26, 2023 7 MillionaireMaker Lithium Stocks Buy Hold Forever Todays Market Jun 27, 2023 NIO Stock Alert: Nio Subsidiary Announces CNOOC Deal Stocks Buy Jun 27, 2023 3 Stocks Buy 100 Returns 2024 Stocks Buy Jun 26, 2023 3 Stocks Buy LongTerm Dividends Buybacks 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, . . 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https://investorplace.com/hypergrowthinvesting/2023/05/capitalize-on-the-emerging-age-of-ai-for-hefty-profits/ | 2023-05-15T00:00:00 | en | Capitalize on the Emerging Age of AI for Hefty Profits | InvestorPlace |
Capitalize on the Emerging Age of AI for Hefty Profits | InvestorPlace
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Home / Expert Stock Picks / Stocks to Buy / Capitalize on the Emerging Age of AI for Hefty Profits
SPECIAL REPORT
5 Artificial Intelligence Stocks to Buy Before They Skyrocket
Meet Luke Lango
Capitalize on the Emerging Age of AI for Hefty Profits
Like the internet in the 2010s, AI promises to change every facet of our global economy in the 2020s
May 15, 2023
By
Luke Lango, InvestorPlace Senior Investment Analyst
May 15, 2023, 11:20 am EDT
May 15, 2023
Before the iPhone, internet companies were growing. After, they started to spread like wildfire and take over the world. The burgeoning field of artificial intelligence (AI) just had its “iPhone moment” last year, when Microsoft-backed OpenAI launched ChatGPT.AI represents a massive paradigm shift in the way society operates and the way money flows in our economy. And it will create a $15 trillion market by 2030.Investors who can recognize the importance of AI – and buy the dip in AI stocks – will give themselves the chance to make fortunes, just like investors of internet stocks did following the iPhone’s release.
Source: shutterstock.com/Peshkova
Editor’s note: “Capitalize on the Emerging Age of AI for Hefty Profits” was previously published in March 2023. It has since been updated to include the most relevant information available.
Crisis creates opportunity. And big crises create big opportunities.
For example, did you know that the Internet Economy – which created the world’s first trillion-dollar companies, churning out multiple 1,000% stock market winners – was born amid the 2008 financial crisis?
Technically, the internet was born in the 1990s – the World Wide Web launched on Aug. 6, 1991.
But it wasn’t until Apple (AAPL) released the first iPhone in 2007 – and put the power of the internet literally in the palms of everyone’s hands – that the Internet Economy really started to blossom.
Just look at how the revenue growth trajectories for internet titans like Amazon (AMZN), Alphabet (GOOGL), and Netflix (NFLX) dramatically changed after the iPhone’s launch.
Before the iPhone, internet companies were growing. After, they started to spread like wildfire and take over the world.
It was a critical inflection point – the “tipping point” for the internet revolution…
The moment when everything changed.
Of course, at the time, it didn’t feel like that.
The financial economy was collapsing because of the subprime loan meltdown. Unemployment rates were soaring. Stocks were crashing. Companies were going bankrupt. Home foreclosures were happening left and right.
It felt like the end times, even for internet stocks like Amazon, Netflix, Alphabet, and the iPhone’s maker, Apple. All those stocks dropped between 50% and 60% in 2008 – the year after the iPhone launched.
What a crisis…
And what an opportunity.
Crisis Begets Opportunity
For investors who were able to zoom out and look at the big picture, the financial crisis created the opportunity of a lifetime.
It left internet stocks trading at dirt-cheap valuations just months after the emergence of the Internet Economy’s biggest catalyst of all time – the iPhone.
Those “big-picture” investors were able to recognize that the economy wasn’t going to collapse and that the 2008 crisis – like all financial crises before it – would pass.
They were able to identify the iPhone’s significance as a critical inflection point for the Internet Economy that would spark 10-plus years of super-charged growth.
They were able to see the deep value in internet stocks. And they were smart enough to buy the dip in names like Amazon, Netflix, Apple, and Alphabet.
As a result, those “big-picture” investors have since made fortunes.
Every $10,000 invested in Alphabet stock in late 2008 would be worth nearly $140,000 today. A $10,000 investment in Amazon or Apple stock in late 2008 would be worth nearly $500,000 today. And a $10,000 investment in Netflix stock in late 2008 would be worth over $1 million today.
Said differently…
Investors who were able to zoom out and see the big picture in 2008 – and were able to realize the impact the iPhone would have on the internet economy – would’ve had the chance to turn $10,000 into a million bucks.
Opportunities like that only come around so often. When they do, you have to capitalize on them.
Well, as luck would have it, one of those opportunities is emerging right now.
AI’s “iPhone Moment”
The burgeoning field of artificial intelligence (AI) just had its iPhone moment last year, when Microsoft-backed OpenAI launched ChatGPT. This put the power of sophisticated AI in the hands of everyone with a computer.
Like the internet in the 2010s, AI promises to change every facet of our global economy in the 2020s. It will represent a massive paradigm shift in the way society operates and the way money flows in our economy.
It will change everything about everything. It will create a $15 trillion market by 2030.
And that revolution just had its iPhone moment.
Of course, it may not feel that way today. Stocks got crushed in 2022 and are still trying to claw their way back here in 2023. Indeed, it’s been a brutal 12 months for investors.
But this is exactly where we were 15 years ago – right after the iPhone’s launch and in the midst of a massive stock market crash.
What’s that thing they say about history? That it likes to repeat itself?
History is repeating right now before our very eyes.
The Final Word on AI
Fifteen years ago, internet stocks were crashing just months after their “iPhone moment,” thanks to an economic crisis.
Today, AI stocks are crashing just months after their own “iPhone moment” because the economy is enduring a crisis.
Back then, “big-picture” investors who were able to zoom out and recognize the importance of the internet and the iPhone – and buy the dip in internet stocks – have since made fortunes.
Today, “big-picture” investors who can recognize the importance of AI – and buy the dip in AI stocks – will give themselves the chance to make fortunes, too.
The choice, of course, is yours.
Let the opportunity of a lifetime pass you by – or capitalize on it now.
If you want to take advantage of this revolutionary moment, then I highly suggest you check out our first-ever AI Super Summit. It’s an event we held specifically to help investors capitalize on what may be the biggest technological paradigm shift of our lifetimes.
We even disclosed a few of our top AI stocks to buy right now.
Check out a replay of that event now.
On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.
Submit
Luke Lango
Editor, Hypergrowth Investing
Meet Luke Lango
By uncovering early investments in hypergrowth industries, Luke Lango puts you on the ground-floor of world-changing megatrends.
Learn more about Luke
Article printed from InvestorPlace Media, https://investorplace.com/hypergrowthinvesting/2023/05/capitalize-on-the-emerging-age-of-ai-for-hefty-profits/.
©2023 InvestorPlace Media, LLC
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| Capitalize on the Emerging Age of AI for Hefty Profits | Capitalize Emerging Age AI Hefty Profits 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 Home Expert Stock Picks Stocks Buy Capitalize Emerging Age AI Hefty Profits SPECIAL REPORT 5 Artificial Intelligence Stocks Buy Before They Skyrocket Meet Luke Lango Capitalize Emerging Age AI Hefty Profits Like internet 2010s, AI promises change facet global economy 2020s May 15, 2023 By Luke Lango, InvestorPlace Senior Investment Analyst May 15, 2023, 11:20 EDT May 15, 2023 Before iPhone, internet companies growing. After, started spread like wildfire world.The burgeoning field artificial intelligence AI iPhone moment year, Microsoftbacked OpenAI launched ChatGPT.AI represents massive paradigm shift way society operates way money flows economy. And create 15 trillion market 2030.Investors recognize importance AI buy dip AI stocks chance fortunes, like investors internet stocks following iPhones release. Source: Peshkova Editors note: Capitalize Emerging Age AI Hefty Profits previously published March 2023. It updated include relevant information available. Crisis creates opportunity. And big crises create big opportunities. For example, know Internet Economy created worlds trilliondollar companies, churning multiple 1,000 stock market winners born amid 2008 financial crisis? Technically, internet born 1990s World Wide Web launched Aug. 6, 1991. But wasnt Apple AAPL released iPhone 2007 power internet literally palms everyones hands Internet Economy started blossom. Just look revenue growth trajectories internet titans like Amazon AMZN, Alphabet GOOGL, Netflix NFLX dramatically changed iPhones launch. Before iPhone, internet companies growing. After, started spread like wildfire world. It critical inflection point tipping point internet revolution The moment changed. Of course, time, didnt feel like that. The financial economy collapsing subprime loan meltdown. Unemployment rates soaring. Stocks crashing. Companies going bankrupt. Home foreclosures happening left right. It felt like end times, internet stocks like Amazon, Netflix, Alphabet, iPhones maker, Apple. All stocks dropped 50 60 2008 year iPhone launched. What crisis And opportunity. Crisis Begets Opportunity For investors able zoom look big picture, financial crisis created opportunity lifetime. It left internet stocks trading dirtcheap valuations months emergence Internet Economys biggest catalyst time iPhone. Those bigpicture investors able recognize economy wasnt going collapse 2008 crisis like financial crises pass. They able identify iPhones significance critical inflection point Internet Economy spark 10plus years supercharged growth. They able deep value internet stocks. And smart buy dip names like Amazon, Netflix, Apple, Alphabet. As result, bigpicture investors fortunes. Every 10,000 invested Alphabet stock late 2008 worth nearly 140,000 today. A 10,000 investment Amazon Apple stock late 2008 worth nearly 500,000 today. And 10,000 investment Netflix stock late 2008 worth 1 million today. Said differently Investors able zoom big picture 2008 able realize impact iPhone internet economy wouldve chance turn 10,000 million bucks. Opportunities like come often. When do, capitalize them. Well, luck it, opportunities emerging right now. AIs iPhone Moment The burgeoning field artificial intelligence AI iPhone moment year, Microsoftbacked OpenAI launched ChatGPT. This power sophisticated AI hands computer. Like internet 2010s, AI promises change facet global economy 2020s. It represent massive paradigm shift way society operates way money flows economy. It change everything. It create 15 trillion market 2030. And revolution iPhone moment. Of course, feel way today. Stocks got crushed 2022 trying claw way 2023. Indeed, brutal 12 months investors. But exactly 15 years ago right iPhones launch midst massive stock market crash. Whats thing history? That likes repeat itself? History repeating right eyes. The Final Word AI Fifteen years ago, internet stocks crashing months iPhone moment, thanks economic crisis. Today, AI stocks crashing months iPhone moment economy enduring crisis. Back then, bigpicture investors able zoom recognize importance internet iPhone buy dip internet stocks fortunes. Today, bigpicture investors recognize importance AI buy dip AI stocks chance fortunes, too. The choice, course, yours. Let opportunity lifetime pass capitalize now. If want advantage revolutionary moment, I highly suggest check firstever AI Super Summit. Its event held specifically help investors capitalize biggest technological paradigm shift lifetimes. We disclosed AI stocks buy right now. Check replay event now. On date publication, Luke Lango directly indirectly positions securities mentioned article. Submit Luke Lango Editor, Hypergrowth Investing Meet Luke Lango By uncovering early investments hypergrowth industries, Luke Lango puts groundfloor worldchanging megatrends. Learn Luke Article printed InvestorPlace Media, 2023 InvestorPlace Media, LLC More Luke Lango Market Analysis Luxury Goods Experiences: New American Dream? 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https://investorplace.com/smartmoney/2023/05/ai-is-bringing-a-profitable-revolution-to-all-sectors/ | 2023-05-06T00:00:00 | en | What the AI Revolution Really Means | InvestorPlace |
What the AI Revolution Really Means | InvestorPlace
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SPECIAL REPORT
5 Artificial Intelligence Stocks to Buy Before They Skyrocket
Meet Eric Fry
What the AI Revolution Really Means
AI is a big deal... bigger than we ever could have predicted.
May 5, 2023
By
Eric Fry, Editor, Fry's Investment Report
May 6, 2023, 3:00 pm EDT
May 5, 2023
Source: Sarah Holmlund / Shutterstock.com
Artificial intelligence – or AI – is the newest megatrend to burst onto the scene.
After waiting in the wings for years, AI has finally taken center stage and is stoking investors’ imaginations with visions of lavish stock market gains.
Because of AI’s limitless potential to enhance almost every aspect of daily life, it also possesses limitless potential to enrich investors.
There’s just one catch: What’s an “AI?”
Unlike EVs, personal computers, televisions, or satellites, AI is not a specific, tangible product. No one builds an AI in a factory or sells six-packs of AIs in a grocery store.
Instead, AI is an amorphous, multifaceted category of innovation that is almost as broad and all-compassing as “technology.”
Therefore, opportunity-seeking investors must first parse the AI world into investible pieces. That is easier said than done. But let’s give it a shot…
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A Complex Umbrella
Simplistically speaking, the AI world consists of two broad categories: AI creators and AI appliers.
Within the former category, many of the leaders are either private companies or small divisions within large public companies. So the universe of investible AI creators is relatively small.
On the other hand, AI appliers are everywhere… and growing by the day – companies as diverse as beauty-products purveyors, manganese miners, industrial-solutions providers, and renewable-energy managers. (Each of these companies are open recommendations in the Fry’s Investment Report portfolio, which you can learn how to access here).
Each of these companies is applying specific AI technologies to its processes. But that doesn’t mean these companies are “AI plays.”
Although they are all utilizing some type of AI – and will continue to do so – AI is not yet a significant contributor to their overall profit growth trajectory.
Obviously, there are many exceptions to the simplistic generalizations about AI investment opportunities I have presented. But those exceptions do not alter my “Stage One” tactic for investing in AI.
That tactic, simply stated, is “Go big!” (You can go small later.)
Hidden in Plain Sight
I’m talking about Big Tech names like Microsoft Corp. (MSFT), Amazon.com Inc. (AMZN), and Alphabet Inc. (GOOGL). For most of us, these companies are the stable but unremarkable giants of the technology industry.
They seem like Hall-of-Fame baseball players in the twilights of their careers; no one can deny their heroic achievements from the past, but almost no one is expecting similar achievements in the future.
AI is flipping that naïve assumption on its head. AI is building an entirely new foundation for explosive growth – a growth of such incalculable proportions that it could add trillions of dollars to the trillion-dollar market values Microsoft, Amazon, and Alphabet already possess.
These big-tech names are perfectly positioned to capitalize on the early phases of the coming AI boom. For one thing, these companies have been quietly investing billions of dollars in AI during the last several years…
Doubling Down on ChatGPT
Two years ago Microsoft spent nearly $20 billion to buy Nuance Communications, “a pioneer and a leading provider of conversational AI and cloud-based ambient clinical intelligence for healthcare providers.” Incredibly, 90% of the world’s hospitals use Nuance’s solutions.
Earlier this year, Microsoft poured $10 billion into OpenAI, the creator of the ChatGPT bot that has become an “overnight” sensation. Microsoft previously invested $1 billion in the AI company in 2019.
Elevated Healthcare
Alphabet is also investing billions into AI technologies of various sorts. Obviously, the company invests heavily in the AI that powers its Google search engine. But Alphabet has also become a major investor/player in healthcare AI.
Its GoogleHealth division is investing in cutting-edge AI applications like genome analytics, deep learning from individual health records, and accelerated diagnoses of certain ailments.
Alexa, What Time Is It?
Meanwhile, Amazon isn’t exactly standing still. AI is already intimately intertwined with Amazon’s DNA.
In a Netflix special four years ago, the comedian Ronny Chieng joked about the need to upgrade Amazon’s “Prime Now” to “Prime Before.” He said…
Send me what I want before I want it… Use artificial intelligence to substitute my own intelligence so I can live my life. Send me everything I want, before I want it… in as many boxes as possible.
Chieng’s “Prime Before” gag got a lot of laughs. But today, it is eerily close to becoming reality. As a recent story in the Observer remarked…
With 25 years of data at its disposal, Amazon knows what we want, when we want it, and it’s likely already sent the next thing you’re going to order to a fulfillment center near you.
Amazon’s “Alexa” home assistant is another example of the company’s AI capabilities. But Amazon’s AWS web services division may be its single greatest AI asset.
AWS offers the industry’s most comprehensive set of artificial intelligence (AI) and machine-learning services, infrastructure, and implementation resources.
More than 100,000 customers use AWS for their AI/ML workloads. And since AWS is the world’s largest cloud service provider, it is not hard to imagine that the nascent AI boom will produce an echo boom of profit growth at AWS. Already, Amazon’s “Intelligent Cloud” division is the company’s largest source of revenue and profit.
The Bigger, The Better
Clearly, Amazon, Alphabet, and Microsoft are no strangers to AI. All three of these companies have been quietly remaking themselves into AI-leading tech companies, or at least AI-ready tech companies.
But that’s not the only factor that makes them compelling AI plays. The other main factor is girth. Bigger is better.
Sincerely,
Eric
Eric Fry is an award-winning stock picker with numerous “10-bagger” calls — in good markets AND bad. How? By finding potent global megatrends… before they take off. In fact, Eric has recommended 41 different 1,000%+ stock market winners in his career. Plus, he beat 650 of the world’s most famous investors (including Bill Ackman and David Einhorn) in a contest. And today he’s revealing his next potential 1,000% winner for free, here.
Artificial Intelligence, Technology
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Eric Fry
Editor, Smart Money
Meet Eric Fry
By looking for big-picture trends that drive huge, multiyear moves in entire sectors of the market, Eric Fry exploits moneymaking opportunities regular Wall Streeters miss.
Learn more about Eric
Article printed from InvestorPlace Media, https://investorplace.com/smartmoney/2023/05/ai-is-bringing-a-profitable-revolution-to-all-sectors/.
©2023 InvestorPlace Media, LLC
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| What the AI Revolution Really Means | What AI Revolution Really Means 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 Louis Navellier Issues URGENT Bank Run Update Were days away unprecedented 8.3 trillion banking shock thats virtually guaranteed happen. Now time prepare. Tue, May 9 7:00PM ET Days Hours Minutes Seconds Sign Up Now Home Market Analysis What AI Revolution Really Means SPECIAL REPORT 5 Artificial Intelligence Stocks Buy Before They Skyrocket Meet Eric Fry What AI Revolution Really Means AI big deal... bigger predicted. May 5, 2023 By Eric Fry, Editor, Frys Investment Report May 6, 2023, 3:00 pm EDT May 5, 2023 Source: Sarah Holmlund Artificial intelligence AI newest megatrend burst scene. After waiting wings years, AI finally taken center stage stoking investors imaginations visions lavish stock market gains. Because AIs limitless potential enhance aspect daily life, possesses limitless potential enrich investors. Theres catch: Whats AI? Unlike EVs, personal computers, televisions, satellites, AI specific, tangible product. No builds AI factory sells sixpacks AIs grocery store. Instead, AI amorphous, multifaceted category innovation broad allcompassing technology. Therefore, opportunityseeking investors parse AI world investible pieces. That easier said done. But lets shot The Dept. Energy Could 100X Your Money The Department Energy pouring billions littleknown fuel. The companies receiving torrents cash tiny. Shares set soar subsidies. Investors today 100X money. Heres position maximum gains. Click learn more. A Complex Umbrella Simplistically speaking, AI world consists broad categories: AIcreators AI appliers. Within category, leaders private companies small divisions large public companies. So universe investible AIcreators relatively small. On hand, AI appliers areeverywhere growing day companies diverse beautyproducts purveyors, manganese miners, industrialsolutions providers, renewableenergy managers. Each companies open recommendations Frys Investment Report portfolio, learn access here. Each companies applying specific AI technologies processes. But doesnt mean companies AI plays. Although utilizing type AI continue AI significant contributor overall profit growth trajectory. Obviously, exceptions simplistic generalizations AI investment opportunities I presented. But exceptions alter Stage One tactic investing AI. That tactic, simply stated, Go big You small later. Hidden Plain Sight Im talking Big Tech names likeMicrosoft Corp. MSFT, . AMZN, andAlphabet . GOOGL. For us, companies stable unremarkable giants technology industry. They like HallofFame baseball players twilights careers; deny heroic achievements past, expecting similar achievements future. AI flipping nave assumption head. AI building entirely new foundation explosive growth growth incalculable proportions add trillions dollars trilliondollar market values Microsoft, Amazon, Alphabet possess. These bigtech names perfectly positioned capitalize early phases coming AI boom. For thing, companies quietly investing billions dollars AI years Doubling Down ChatGPT Two years ago Microsoft spent nearly 20 billion buy Nuance Communications, pioneer leading provider conversational AI cloudbased ambient clinical intelligence healthcare providers. redibly, 90 worlds hospitals use Nuances solutions. Earlier year, Microsoft poured 10 billion OpenAI, creator ChatGPT bot overnight sensation. Microsoft previously invested 1 billion AI company 2019. Elevated Healthcare Alphabet investing billions AI technologies sorts. Obviously, company invests heavily AI powers Google search engine. But Alphabet major investorplayer healthcare AI. Its GoogleHealth division investing cuttingedge AI applications like genome analytics, deep learning individual health records, accelerated diagnoses certain ailments. Alexa, What Time Is It? Meanwhile, Amazon isnt exactly standing still. AI intimately intertwined Amazons DNA. In Netflix special years ago, comedian Ronny Chieng joked need upgrade Amazons Prime Now Prime Before. He said Send I wantbeforeI want Use artificial intelligence substitute intelligence I live life. Send I want,beforeI want boxes possible. Chiengs Prime Before gag got lot laughs. But today, eerily close reality. As recent story theObserverremarked With 25 years data disposal, Amazon knows want, want it, likely sent thing youre going order fulfillment center near you. Amazons Alexa home assistant example companys AI capabilities. But Amazons AWS web services division single greatest AI asset. AWS offers industrys comprehensive set artificial intelligence AI machinelearning services, infrastructure, implementation resources. More 100,000 customers use AWS AIML workloads. And AWS worlds largest cloud service provider, hard imagine nascent AI boom produce echo boom profit growth AWS. Already, Amazons Intelligent Cloud division companys largest source revenue profit. The Bigger, The Better Clearly, Amazon, Alphabet, Microsoft strangers AI. All companies quietly remaking AIleading tech companies, AIreadytech companies. But thats factor makes compelling AI plays. The main factor girth. Bigger better. Sincerely, Eric Eric Fry awardwinning stock picker numerous 10bagger calls good markets AND bad. How? By finding potent global megatrends off. In fact, Eric recommended 41 different 1,000 stock market winners career. Plus, beat 650 worlds famous investors including Bill Ackman David Einhorn contest. And today hes revealing potential 1,000 winner free, here. Artificial Intelligence, Technology Submit Eric Fry Editor, Smart Money Meet Eric Fry By looking bigpicture trends drive huge, multiyear moves entire sectors market, Eric Fry exploits moneymaking opportunities regular Wall Streeters miss. Learn Eric Article printed InvestorPlace Media, 2023 InvestorPlace Media, LLC More Eric Fry Market Analysis My No. 1 2023 Power Trend Is Heating Up By Eric Fry May 4, 2023 Market Analysis Deglobalization Takes Global Investors By Storm By Eric Fry Apr 27, 2023 Market Analysis Two Key Traits Every Investor Needs By Eric Fry Apr 21, 2023 ADVERTISEMENT Erics Most Popular Market Analysis May 4, 2023 My No. 1 2023 Power Trend Is Heating Up Market Analysis Mar 23, 2023 Dont Give Up Green Hydrogen Market Analysis Apr 13, 2023 AI Is Next Step Moneymaking Evolution Market Analysis Apr 27, 2023 Deglobalization Takes Global Investors By Storm Market Analysis Apr 6, 2023 The Three Foundations Wealth 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 | 2,023 | [
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https://it-online.co.za/2021/09/02/data-engineer-83/ | 2021-09-02T00:00:00 | en | Data Engineer - IT-Online |
Data Engineer - IT-Online
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Data Engineer
Sep 2, 2021
BEng/Bsc Computer Engineering or similarAt least 3years experience as a data engineerExperience in data warehousing, Cloud solutions and ETL pipelinesFull end to end development and project deliveryLeading a small team
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| Data Engineer | Data Engineer ITOnline Home Business IT Channelwise Africa Company News Industry Areas Channel News 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 Data Engineer Sep 2, 2021 BEngBsc Computer Engineering similarAt 3years experience data engineerExperience data warehousing, Cloud solutions ETL pipelinesFull end end development project deliveryLeading small team Apply online let career shape great company. Learn moreApply position Related Home Business IT Channelwise Facebook Twitter Designed Elegant Themes Powered WordPress | 2,021 | [
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https://it-online.co.za/2023/07/21/data-scientist-western-cape-cape-town-region-5/ | 2023-07-22T00:00:00 | en | Data Scientist - Western Cape Cape Town Region - IT-Online |
Data Scientist - Western Cape Cape Town Region - IT-Online
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Data Scientist – Western Cape Cape Town Region
Jul 21, 2023
PURPOSE OF THE ROLEThe Data Scientist will be responsible for investment related machine learning research, analysis, and quantitative tool/process development. The role also includes developing data flow and data processes which includes efficiently receiving, transferring, processing, analyzing, and integrating 3rd party systems for investment research and business operational processes. Strong programming skills, particularly in Python and SQL are therefore essential. Solid experience managing and analysing large amounts of data is a must. Experience with version control and database solutions is necessary as well. The person will need to follow a collaborative team approach that adheres to the Prescient value framework.
DUTIES AND RESPONSIBILITIESData Science & Analysis:
Analyse and interpret financial datasets including performance, indices, econometric data and price series to identify trends, patterns, and anomalies that can inform investment decisions
Collaborate with portfolio managers and research teams to define and implement data-driven strategies that enhance investment performance
Develop and maintain statistical models and algorithms for forecasting, risk assessment, and optimization of investment portfolios
Design and implement data collection and validation processes to ensure data integrity and accuracy
Utilize advanced analytical techniques, such as machine learning, predictive modelling, and simulation, to gain deeper insights into market dynamics
Generate reports and presentations that effectively communicate data-driven insights to various stakeholders, including investment professionals and clients
Create visually appealing and interactive data visualizations
Stay updated with the latest developments in data analysis, machine learning, and financial markets to identify opportunities for innovation and improvements within the organization
Collaborate with IT teams to develop and maintain robust data infrastructure and automate data processing tasks
General:
Assist and collaborate on team wide projects
Contribute to the analytics platform to know what is required from a Data Science perspective
Assist and investigate ad-hoc data related queries
KEY COMPETENCIES
Outstanding organization skills
Excellent interpersonal skills, excellent communication skills oral and written
Aptitude in decision-making and problem-solving
Strong work ethic, self-motivated, driven and results oriented
Ability to listen and respond to new ideas, input and diverse perspectives
High levels of self-confidence, assertive as well as healthy levels of EQ
Energetic problem-solver
Structured work style, attention to detail and accuracy is of the utmost importance
Desired Skills:
Up to 3 years’ experience with a specific focus in machine learning data analysis and have produced ETL processes at scale are essential.
Basic understanding of financial instruments and markets
Exceptional skill and experience in Python and SQL
Git version control
University Post Graduate Degree (Computer Science/Maths/Stats/Actuarial/Quantitative Finance/Data Science)
Strong programming skills in Python and SQL
Excellent understanding of statistical learning and statistical models
About The Employer:
An exciting role, offering fantastic growth and exposure, as you form part of a team in a leading systematic investment framework.
Learn more/Apply for this position
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| Data Scientist | Data Scientist Western Cape Cape Town Region 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 Data Scientist Western Cape Cape Town Region Jul 21, 2023 PURPOSE OF THE ROLEThe Data Scientist responsible investment related machine learning research, analysis, quantitative toolprocess development. The role includes developing data flow data processes includes efficiently receiving, transferring, processing, analyzing, integrating 3rd party systems investment research business operational processes. Strong programming skills, particularly Python SQL essential. Solid experience managing analysing large amounts data must. Experience version control database solutions necessary well. The person need follow collaborative team approach adheres Prescient value framework. DUTIES AND RESPONSIBILITIESData Science Analysis: Analyse interpret financial datasets including performance, indices, econometric data price series identify trends, patterns, anomalies inform investment decisions Collaborate portfolio managers research teams define implement datadriven strategies enhance investment performance Develop maintain statistical models algorithms forecasting, risk assessment, optimization investment portfolios Design implement data collection validation processes ensure data integrity accuracy Utilize advanced analytical techniques, machine learning, predictive modelling, simulation, gain deeper insights market dynamics Generate reports presentations effectively communicate datadriven insights stakeholders, including investment professionals clients Create visually appealing interactive data visualizations Stay updated latest developments data analysis, machine learning, financial markets identify opportunities innovation improvements organization Collaborate IT teams develop maintain robust data infrastructure automate data processing tasks General: Assist collaborate team wide projects Contribute analytics platform know required Data Science perspective Assist investigate adhoc data related queries KEY COMPETENCIES Outstanding organization skills Excellent interpersonal skills, excellent communication skills oral written Aptitude decisionmaking problemsolving Strong work ethic, selfmotivated, driven results oriented Ability listen respond new ideas, input diverse perspectives High levels selfconfidence, assertive healthy levels EQ Energetic problemsolver Structured work style, attention accuracy utmost importance Desired Skills: Up 3 years experience specific focus machine learning data analysis produced ETL processes scale essential. Basic understanding financial instruments markets Exceptional skill experience Python SQL Git version control University Post Graduate Degree Computer ScienceMathsStatsActuarialQuantitative FinanceData Science Strong programming skills Python SQL Excellent understanding statistical learning statistical models About The Employer: An exciting role, offering fantastic growth exposure, form team leading systematic investment framework. Learn moreApply position Related Home Business IT Channelwise Facebook Twitter Designed Elegant Themes Powered WordPress | 2,023 | [
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https://it-online.co.za/2023/10/15/data-scientists-x2-gauteng-arcadia/ | 2023-10-16T00:00:00 | en | Data Scientists X2 - Gauteng Arcadia - IT-Online |
Data Scientists X2 - Gauteng Arcadia - IT-Online
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Select Page
Data Scientists X2 – Gauteng Arcadia
Oct 15, 2023
Unleash Your Data Science Talents!
We’re on the hunt for not one but two exceptional Data Scientists to join our dynamic team in the heart of Pretoria. If you have a passion for data, a Bachelor’s degree in information technology, computer science, mathematics, or related fields, and a minimum of three years’ experience as a Data Scientist, we want to hear from you!
Minimum Requirements:
Bachelor’s degree in a related field.
At least three years’ experience as a Data Scientist.
Additional Requirements:
Background in data analysis, business intelligence, or data engineering.
Well-honed analytical and problem-solving skills.
Proficiency in NoSQL and Java coding.
Data analysis and design expertise.
Experience with GIS tools.
This is your chance to be at the forefront of data-driven innovation, driving change and making a real impact. If you’re ready to bring your skills and enthusiasm to a team that values your talents, we invite you to apply.
Elevate Your Career with Us:
Location: Pretoria, a hub of opportunity.
Duration: 12-month contract roles.
Requirements: Your expertise in data science and a passion for innovation.
Ready to embark on this exciting journey? Apply now and be part of our data revolution!
Desired Skills:
Business Intelligence
Data Analysis
Data Science
GIS
noSQL
About The Employer:
Government Department
Learn more/Apply for this position
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| Data Scientists X2 | Data Scientists X2 Gauteng Arcadia 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 Data Scientists X2 Gauteng Arcadia Oct 15, 2023 Unleash Your Data Science Talents Were hunt exceptional Data Scientists join dynamic team heart Pretoria. If passion data, Bachelors degree information technology, science, mathematics, related fields, minimum years experience Data Scientist, want hear Minimum Requirements: Bachelors degree related field. At years experience Data Scientist. Additional Requirements: Background data analysis, business intelligence, data engineering. Wellhoned analytical problemsolving skills. Proficiency NoSQL Java coding. Data analysis design expertise. Experience GIS tools. This chance forefront datadriven innovation, driving change making real impact. If youre ready bring skills enthusiasm team values talents, invite apply. Elevate Your Career Us: Location: Pretoria, hub opportunity. Duration: 12month contract roles. Requirements: Your expertise data science passion innovation. Ready embark exciting journey? Apply data revolution Desired Skills: Business Intelligence Data Analysis Data Science GIS noSQL About The Employer: Government Department Learn moreApply position Related Home Business IT Channelwise Facebook X Designed Elegant Themes Powered WordPress | 2,023 | [
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https://itbusinessnet.com/2022/06/c3-ai-and-google-cloud-partner-to-optimize-supply-chains-with-enterprise-ai/ | 2022-06-14T00:00:00 | en | C3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI – IT Business Net |
C3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI – IT Business Net
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Home2022JuneC3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI
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C3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI
C3 AI Supply Chain Suite uses Google Cloud AI, infrastructure, and Supply Chain Twin to optimize supply chains for improved resiliency and on-time customer delivery
REDWOOD CITY, Calif.–(BUSINESS WIRE)–C3 AI (NYSE: AI), the Enterprise AI application software company, today announced a new supply chain software product to address today’s disrupted global supply chains, developed through its partnership with Google Cloud. The C3 AI Supply Chain Suite improves on-time in-full customer delivery through better demand forecasting, optimized inventory and production, and supplier lead time visibility.
“Our work with Google Cloud to create intelligent, highly resilient enterprise AI supply chain solutions has never been more important,” said Ed Abbo, president and chief technology officer of C3 AI. “Combining AI capabilities with cloud infrastructure and the data organization and orchestration power of Google Cloud’s Supply Chain Twin will give customers the ability to predict changes and react quickly in increasingly inflationary and dynamic labor and supply environments.”
The C3 AI Supply Chain Suite leverages the full power of Google Cloud products and infrastructure, including Google Kubernetes Engine, Google BigQuery, and Vertex AI, which lets customers easily extend and configure AI algorithms.
Google Cloud solutions provide packaged integration services and data models, such as Google Cloud Cortex Framework and Google Cloud Supply Chain Twin, to rapidly integrate at massive scale company, public, and community data such as news, search trends, weather, and transportation routes.
“The expansion of the Google Cloud and C3 AI partnership in support of resilient supply chains represents another collaboration across industries and domains such as manufacturing sustainability, consumer packaged goods, retail, and healthcare,” said Hans Thalbauer, managing director, Supply Chain and Manufacturing Industries, Google Cloud. “Customers are already realizing faster time-to-value and seeing actionable insights in their data.”
For more information on C3 AI and its comprehensive portfolio of Enterprise AI applications, visit https://c3.ai/ai-software.
About C3.ai, Inc.
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Suite, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally.
Contacts
C3 AI Public RelationsEdelman
Lisa Kennedy
415-914-8336
[email protected]
Investor Relations[email protected]
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| C3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI | C3 AI Google Cloud Partner Optimize Supply Chains Enterprise AI IT Business Net Skip content IT Business Net News IT Professionals Primary Menu IT Business Net About IT Business Net for: Home2022JuneC3 AI Google Cloud Partner Optimize Supply Chains Enterprise AI News C3 AI Google Cloud Partner Optimize Supply Chains Enterprise AI C3 AI Supply Chain Suite uses Google Cloud AI, infrastructure, Supply Chain Twin optimize supply chains improved resiliency ontime customer delivery REDWOOD CITY, Calif.BUSINESS WIREC3 AI NYSE: AI, Enterprise AI application software company, today announced new supply chain software product address todays disrupted global supply chains, developed partnership Google Cloud. The C3 AI Supply Chain Suite improves ontime infull customer delivery better demand forecasting, optimized inventory production, supplier lead time visibility. Our work Google Cloud create intelligent, highly resilient enterprise AI supply chain solutions important, said Ed Abbo, president chief technology officer C3 AI. Combining AI capabilities cloud infrastructure data organization orchestration power Google Clouds Supply Chain Twin customers ability predict changes react quickly increasingly inflationary dynamic labor supply environments. The C3 AI Supply Chain Suite leverages power Google Cloud products infrastructure, including Google Kubernetes Engine, Google BigQuery, Vertex AI, lets customers easily extend configure AI algorithms. Google Cloud solutions provide packaged integration services data models, Google Cloud Cortex Framework Google Cloud Supply Chain Twin, rapidly integrate massive scale company, public, community data news, search trends, weather, transportation routes. The expansion Google Cloud C3 AI partnership support resilient supply chains represents collaboration industries domains manufacturing sustainability, consumer packaged goods, retail, healthcare, said Hans Thalbauer, managing director, Supply Chain Manufacturing Industries, Google Cloud. Customers realizing faster timetovalue seeing actionable insights data. For information C3 AI comprehensive portfolio Enterprise AI applications, visit About C3.ai, . C3 AI Enterprise AI application software company. C3 AI delivers family fully integrated products including C3 AI Suite, endtoend platform developing, deploying, operating enterprise AI applications C3 AI Applications, portfolio industryspecific SaaS enterprise AI applications enable digital transformation organizations globally. C3 AI Public RelationsEdelman Lisa Kennedy 4159148336 [emailprotected] Investor Relations[emailprotected] Continue Reading Previous 90 Marketers Prioritise Technology Above All Else, Yet Almost Half Still Feel Overwhelmed By ItNext Prices ConsumerSpec MLCCs Will Drop Further 36 2H22 Demand Continues Weaken, Says TrendForce Related Stories News Bavarian Nordic Enters Vaccine Supply Contract European Health Emergency Preparedness Response Authority HERA Response Monkeypox Outbreak News EsoCap holds multidisciplinary advisory board meeting Barretts esophagus News CloudShare Empowers B2B Software Marketers Hubspot Integration News Proofpoint Announces CASB Integration Protect 7,000 OktaFederated Cloud Apps Account Takeover Risks News Emovis UK Chooses Progress Provide Full Network Visibility, Eliminating Cyber Blind Spots News CUBE 2.0 Reveals New Aspects Projects Whitepaper CategoriesCategories Select Category 3D Printing 1 Agile 1 AI 4 Analytics 1 Application Development 1 Browser 1 Business 11 Careers 1 Cloud Applications 1 Communications 1 Cryptocurrency 1 Cybersecurity 9 Data Center 1 Digital Collaboration 1 Digital Transformation 2 Display 1 Drones 1 Education 1 Energy 1 Enterprise Resource Planning 1 Entrepreneur 2 ERP 1 Feature 14 Feature News 1 Finances 1 Fintech 1 Fleet Management 2 Fraud 1 Gaming 2 HR 1 Identity Verification 2 Industrial 3 Infographic 1 International 1 IPTV 1 ISP 1 IT 1 Lead Story 30 Management 1 Manufacturing 7 Marketing 4 Metal Fabrication 1 Micro Additive Manufacturing 1 Mobile Tech 1 Network 1 News 15,231 NFT 1 Product Development 1 QA 1 Ransomware 2 Remote Work 1 Research 1 Robotics 2 SaaS 1 Security 5 Social Media 1 Software Development 3 Spatial Intelligence 1 SSD 1 Storage 1 Threat Detection 1 VOD 1 Web 3.0 1 Windows 1 Workplace 1 IBN for: Todays Business News News Business Cybersecurity News Businesses Cannot Rely On SurfaceLevel Fixes For Their Cybersecurity, Says Business IPTV Lead Story VOD Considerations Before Starting IPTV Company Business Lead Story Relational Intelligence Frontlines: How Develop Great Partnerships Your Customers Business Unique ideas small business owners Business Fraud News Sumsub Launches A Seamless KYB solution That Makes Business Verification 24x Faster Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Health Technology Net About IT Business Net for: Recent Articles Bavarian Nordic Enters Vaccine Supply Contract European Health Emergency Preparedness Response Authority HERA Response Monkeypox Outbreak EsoCap holds multidisciplinary advisory board meeting Barretts esophagus CloudShare Empowers B2B Software Marketers Hubspot Integration Proofpoint Announces CASB Integration Protect 7,000 OktaFederated Cloud Apps Account Takeover Risks Emovis UK Chooses Progress Provide Full Network Visibility, Eliminating Cyber Blind Spots Archives Archives Select Month 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 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 May 2018 April 2018 CategoriesCategories Select Category 3D Printing Agile AI Analytics Application Development Browser Business Careers Cloud Applications Communications Cryptocurrency Cybersecurity Data Center Digital Collaboration Digital Transformation Display Drones Education Energy Enterprise Resource Planning Entrepreneur ERP Feature Feature News Finances Fintech Fleet Management Fraud Gaming HR Identity Verification Industrial Infographic International IPTV ISP IT Lead Story Management Manufacturing Marketing Metal Fabrication Micro Additive Manufacturing Mobile Tech Network News NFT Product Development QA Ransomware Remote Work Research Robotics SaaS Security Social Media Software Development Spatial Intelligence SSD Storage Threat Detection VOD Web 3.0 Windows Workplace You missed News Bavarian Nordic Enters Vaccine Supply Contract European Health Emergency Preparedness Response Authority HERA Response Monkeypox Outbreak News EsoCap holds multidisciplinary advisory board meeting Barretts esophagus News CloudShare Empowers B2B Software Marketers Hubspot Integration News Proofpoint Announces CASB Integration Protect 7,000 OktaFederated Cloud Apps Account Takeover Risks News Emovis UK Chooses Progress Provide Full Network Visibility, Eliminating Cyber Blind Spots IT Business Net . error: Content protected | 2,022 | [
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] | 1 | 2,069 |
https://japantoday.com/category/features/health/can-ai-flag-disease-outbreaks-faster-than-humans-not-quite | 2020-02-20T00:00:00 | en | Can AI flag disease outbreaks faster than humans? Not quite - Japan Today |
Can AI flag disease outbreaks faster than humans? Not quite - Japan Today
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Kyle Martin, a worker at HealthMap, a system using artificial intelligence to monitor global disease outbreaks, mines health data to keep the system up to date in a work area at Boston Children's Hospital in Boston.
Photo: AP
health
Can AI flag disease outbreaks faster than humans? Not quite
Today
05:05 am JST
Today | 07:04 am JST
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By MATT O'BRIEN and CHRISTINA LARSON
BOSTON
Did an artificial-intelligence system beat human doctors in warning the world of a severe coronavirus outbreak in China?
In a narrow sense, yes. But what the humans lacked in sheer speed, they more than made up in finesse.
Early warnings of disease outbreaks can help people and governments save lives. In the final days of 2019, an AI system in Boston sent out the first global alert about a new viral outbreak in China. But it took human intelligence to recognize the significance of the outbreak and then awaken response from the public health community.
What's more, the mere mortals produced a similar alert only a half-hour behind the AI systems.
For now, AI-powered disease-alert systems can still resemble car alarms — easily triggered and sometimes ignored. A network of medical experts and sleuths must still do the hard work of sifting through rumors to piece together the fuller picture. It's difficult to say what future AI systems, powered by ever larger datasets on outbreaks, may be able to accomplish.
The first public alert outside China about the novel coronavirus came on Dec. 30 from the automated HealthMap system at Boston Children's Hospital. At 11:12 p.m. local time, HealthMap sent an alert about unidentified pneumonia cases in the Chinese city of Wuhan. The system, which scans online news and social media reports, ranked the alert's seriousness as only 3 out of 5. It took days for HealthMap researchers to recognize its importance.
Four hours before the HealthMap notice, New York epidemiologist Marjorie Pollack had already started working on her own public alert, spurred by a growing sense of dread after reading a personal email she received that evening.
“This is being passed around the internet here," wrote her contact, who linked to a post on the Chinese social media forum Pincong. The post discussed a Wuhan health agency notice and read in part: “Unexplained pneumonia???"
Pollack, deputy editor of the volunteer-led Program for Monitoring Emerging Diseases, known as ProMed, quickly mobilized a team to look into it. ProMed's more detailed report went out about 30 minutes after the terse HealthMap alert.
Early warning systems that scan social media, online news articles and government reports for signs of infectious disease outbreaks help inform global agencies such as the World Health Organization — giving international experts a head start when local bureaucratic hurdles and language barriers might otherwise get in the way.
Some systems, including ProMed, rely on human expertise. Others are partly or completely automated.
“These tools can help hold feet to the fire for government agencies," said John Brownstein, who runs the HealthMap system as chief innovation officer at Boston Children's Hospital. “It forces people to be more open."
The last 48 hours of 2019 were a critical time for understanding the new virus and its significance. Earlier on Dec. 30, Wuhan Central Hospital doctor Li Wenliang warned his former classmates about the virus in a social media group — a move that led local authorities to summon him for questioning several hours later.
Li, who died Feb. 7 after contracting the virus, told The New York Times that it would have been better if officials had disclosed information about the epidemic earlier. "There should be more openness and transparency,” he said.
ProMed reports are often incorporated into other outbreak warning systems. including those run by the World Health Organization, the Canadian government and the Toronto startup BlueDot. WHO also pools data from HealthMap and other sources.
Computer systems that scan online reports for information about disease outbreaks rely on natural language processing, the same branch of artificial intelligence that helps answer questions posed to a search engine or digital voice assistant.
But the algorithms can only be as effective as the data they are scouring, said Nita Madhav, CEO of San Francisco-based disease monitoring firm Metabiota, which first notified its clients about the outbreak in early January.
Madhav said that inconsistency in how different agencies report medical data can stymie algorithms. The text-scanning programs extract keywords from online text, but may fumble when organizations variously report new virus cases, cumulative virus cases, or new cases in a given time interval. The potential for confusion means there's almost always still a person involved in reviewing the data.
“There’s still a bit of human in the loop,” Madhav said.
Andrew Beam, a Harvard University epidemiologist, said that scanning online reports for key words can help reveal trends, but the accuracy depends on the quality of the data. He also notes that these techniques aren't so novel.
“There is an art to intelligently scraping web sites,” Beam said. "But it’s also Google’s core technology since the 1990s."
Google itself started its own Flu Trends service to detect outbreaks in 2008 by looking for patterns in search queries about flu symptoms. Experts criticized it for overestimating flu prevalence. Google shut down the website in 2015 and handed its technology to nonprofit organizations such as HealthMap to use Google data to build their own models.
Google is now working with Brownstein's team on a similar web-based approach for tracking the geographical spread of tick-borne Lyme disease.
Scientists are also using big data to model possible routes of early disease transmission.
In early January, Isaac Bogoch, an infectious disease physician and researcher at Toronto General Hospital, analyzed commercial flight data with BlueDot founder Kamran Khan to see which cities outside mainland China were most connected to Wuhan.
Wuhan stopped outbound commercial air travel in late January — but not before an estimated 5 million people had fled the city, as the Wuhan mayor later told reporters.
“We showed that the highest volume of flights from Wuhan were to Thailand, Japan, and Hong Kong,” Bogoch said. “Lo and behold, a few days later we started to see cases pop up in these places.”
In 2016, the researchers used a similar approach to predict the spread of the Zika virus from Brazil to southern Florida.
Now that many governments have launched aggressive measures to curb disease transmission, it's harder to build algorithms to predict what's next, Bogoch said.
Artificial intelligence systems depend on vast amounts of prior data to train computers how to interpret new facts. But there are no close parallels to the way China is enforcing quarantine zones that impact hundreds of millions of people.
© Copyright 2020 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
©2020 GPlusMedia Inc.
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| Can AI flag disease outbreaks faster than humans? Not quite | Can AI flag disease outbreaks faster humans? Not Japan Today News Real estate Hotels Classifieds Travel Study Jobs Newsletter Signup Japan Today National Crime Entertainment Politics Business Tech Sports 2020 Tokyo Olympics World Features Home National Crime Entertainment Politics Business Tech Sports 2020 Tokyo Olympics World Features Lifestyle Kuchikomi New Products Health Food Travel Executive Impact Opinions Events Special Promotion Podcasts Recent Comments Popular JapanToday HigashiAzabu IS bldg, 4F 181 HigashiAzabu Minatoku Tokyo 1060044 Japan Tel: 81 3 5561 7755 Fax: 81 3 5561 7756 Email: editor 2020 GPlusMedia . Kyle Martin, worker HealthMap, artificial intelligence monitor global disease outbreaks, mines health data date work area Boston Childrens Hospital Boston. Photo: AP health Can AI flag disease outbreaks faster humans? Not Today 05:05 JST Today 07:04 JST 0 Comments By MATT OBRIEN CHRISTINA LARSON BOSTON Did artificialintelligence beat human doctors warning world severe coronavirus outbreak China? In narrow sense, yes. But humans lacked sheer speed, finesse. Early warnings disease outbreaks help people governments save lives. In final days 2019, AI Boston sent global alert new viral outbreak China. But took human intelligence recognize significance outbreak awaken response public health community. Whats more, mere mortals produced similar alert halfhour AI systems. For now, AIpowered diseasealert systems resemble car alarms easily triggered ignored. A network medical experts sleuths hard work sifting rumors piece fuller picture. Its difficult future AI systems, powered larger datasets outbreaks, able accomplish. The public alert outside China novel coronavirus came Dec. 30 automated HealthMap Boston Childrens Hospital. At 11:12 p.m. local time, HealthMap sent alert unidentified pneumonia cases Chinese city Wuhan. The system, scans online news social media reports, ranked alerts seriousness 3 5. It took days HealthMap researchers recognize importance. Four hours HealthMap notice, New York epidemiologist Marjorie Pollack started working public alert, spurred growing sense dread reading personal email received evening. This passed internet here, wrote contact, linked post Chinese social media forum Pincong. The post discussed Wuhan health agency notice read part: Unexplained pneumonia??? Pollack, deputy editor volunteerled Program Monitoring Emerging Diseases, known ProMed, quickly mobilized team look it. ProMeds detailed report went 30 minutes terse HealthMap alert. Early warning systems scan social media, online news articles government reports signs infectious disease outbreaks help inform global agencies World Health Organization giving international experts head start local bureaucratic hurdles language barriers way. Some systems, including ProMed, rely human expertise. Others partly completely automated. These tools help hold feet government agencies, said John Brownstein, runs HealthMap chief innovation officer Boston Childrens Hospital. It forces people open. The 48 hours 2019 critical time understanding new virus significance. Earlier Dec. 30, Wuhan Central Hospital doctor Li Wenliang warned classmates virus social media group led local authorities summon questioning hours later. Li, died Feb. 7 contracting virus, told The New York Times better officials disclosed information epidemic earlier. There openness transparency, said. ProMed reports incorporated outbreak warning systems. including run World Health Organization, Canadian government Toronto startup BlueDot. WHO pools data HealthMap sources. Computer systems scan online reports information disease outbreaks rely natural language processing, branch artificial intelligence helps answer questions posed search engine digital voice assistant. But algorithms effective data scouring, said Nita Madhav, CEO San Franciscobased disease monitoring firm Metabiota, notified clients outbreak early January. Madhav said inconsistency different agencies report medical data stymie algorithms. The textscanning programs extract keywords online text, fumble organizations variously report new virus cases, cumulative virus cases, new cases given time interval. The potential confusion means theres person involved reviewing data. Theres bit human loop, Madhav said. Andrew Beam, Harvard University epidemiologist, said scanning online reports key words help reveal trends, accuracy depends quality data. He notes techniques arent novel. There art intelligently scraping web sites, Beam said. But Googles core technology 1990s. Google started Flu Trends service detect outbreaks 2008 looking patterns search queries flu symptoms. Experts criticized overestimating flu prevalence. Google shut website 2015 handed technology nonprofit organizations HealthMap use Google data build models. Google working Brownsteins team similar webbased approach tracking geographical spread tickborne Lyme disease. Scientists big data model possible routes early disease transmission. In early January, Isaac Bogoch, infectious disease physician researcher Toronto General Hospital, analyzed commercial flight data BlueDot founder Kamran Khan cities outside mainland China connected Wuhan. Wuhan stopped outbound commercial air travel late January estimated 5 million people fled city, Wuhan mayor later told reporters. We showed highest volume flights Wuhan Thailand, Japan, Hong Kong, Bogoch said. Lo behold, days later started cases pop places. In 2016, researchers similar approach predict spread Zika virus Brazil southern Florida. Now governments launched aggressive measures curb disease transmission, harder build algorithms predict whats next, Bogoch said. Artificial intelligence systems depend vast amounts prior data train computers interpret new facts. But close parallels way China enforcing quarantine zones impact hundreds millions people. 2020 The Associated Press. . This material published, broadcast, rewritten redistributed permission. 2020 GPlusMedia . Top things Mie Prefecture A guide traveling central Japan Learn More A Softbank phone service minimum contract Get Softbank Phone Service Japanese Number Unlimited Data 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 Discover central Japan A travel guide Mie, Aichi, Gifu Nagano prefectures Learn More Top things Aichi Prefecture A guide traveling central Japan Learn More Health Feb. 20 06:05 JST Feb. 20 06:55 JST 2 Comments Patients puzzled medical test reports Feb. 19 05:57 JST Feb. 19 06:57 JST 4 Comments Chinese doctors plasma therapy coronavirus View Popular Experts ponder cruise ship quarantine failed prevent spread virus 154 Comments Professor denies pressured remove videos virushit ship 98 Comments Govt says 2 elderly people cruise ship died; 2 officials infected coronavirus 93 Comments Bureaucrats charge: Japanese doctor blasts ship quarantine 87 Comments Trump todo list west: Raise cash, deliver policy, excite base 65 Comments View Articles, Offers Useful Resources A mix whats trending sites ALT Types ALT That Teach English Japan GaijinPot Blog ALT How Payday Works For An English Teacher Japan GaijinPot Blog ALT How Take Sick Leave If Youre ALT GaijinPot Blog ALT How Much Does English Teacher Make Japan 2019? 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https://jimmyspost.com/microsoft-extends-partnership-with-chatgpt-maker-openai-in-a-multibillion-dollar-deal | 2023-01-24T00:00:00 | en | Microsoft Extends Partnership with ChatGPT-maker OpenAI in a 'multibillion dollar’ Deal - Jimmys Post |
Microsoft Extends Partnership with ChatGPT-maker OpenAI in a 'multibillion dollar’ Deal - Jimmys Post
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Microsoft Extends Partnership with ChatGPT-maker OpenAI in a ‘multibillion dollar’ Deal
ByJimmys Post
Jan 24, 2023
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Read Time:2 Minute, 40 Second
Today, Microsoft announced the third phase of its long-term partnership with OpenAI, the makers of ChatGPT.
The partnership is through Microsoft-ChatGPT multiyear, multibillion dollar investment to accelerate AI breakthroughs to ensure these benefits are broadly shared with the world.
This agreement follows Microsoft’s previous investments in 2019 and 2021.
“It extends our ongoing collaboration across AI supercomputing and research and enables each of us to independently commercialize the resulting advanced AI technologies”, Microsoft said.
Under the new deal:
1. Supercomputing at scale –
Microsoft will increase its investments in the development and deployment of specialized supercomputing systems to accelerate OpenAI’s groundbreaking independent AI research.
“We will also continue to build out Azure’s leading AI infrastructure to help customers build and deploy their AI applications on a global scale”.
2. New AI-powered experiences –
Microsoft will deploy OpenAI’s models across our consumer and enterprise products and introduce new categories of digital experiences built on OpenAI’s technology.
“This includes Microsoft’s Azure OpenAI Service, which empowers developers to build cutting-edge AI applications through direct access to OpenAI models backed by Azure’s trusted, enterprise-grade capabilities and AI-optimized infrastructure and tools”.
3. Exclusive cloud provider –
As OpenAI’s exclusive cloud provider, Azure will power all OpenAI workloads across research, products and API services.
“We formed our partnership with OpenAI around a shared ambition to responsibly advance cutting-edge AI research and democratize AI as a new technology platform,” said Satya Nadella, Chairman and CEO, Microsoft. “In this next phase of our partnership, developers and organizations across industries will have access to the best AI infrastructure, models, and toolchain with Azure to build and run their applications.”
ALSO READ: ChatGPT: A Revolutionary Chatbot that Blurs the Lines between Humans and Machines | By Oluseyi Akindeinde
“The past three years of our partnership have been great,” said Sam Altman, CEO of OpenAI.
“Microsoft shares our values and we are excited to continue our independent research and work toward creating advanced AI that benefits everyone.”
Since 2016, Microsoft has committed to building Azure into an AI supercomputer for the world, serving as the foundation of our vision to democratize AI as a platform.
Through the initial investment and collaboration, Microsoft and OpenAI pushed the frontier of cloud supercomputing technology, announcing our first top-5 supercomputer in 2020, and subsequently constructing multiple AI supercomputing systems at massive scale.
OpenAI has used this infrastructure to train its breakthrough models, which are now deployed in Azure to power category-defining AI products like GitHub Copilot, DALL·E 2 and ChatGPT.
“These innovations have captured imaginations and introduced large-scale AI as a powerful, general-purpose technology platform that we believe will create transformative impact at the magnitude of the personal computer, the internet, mobile devices and the cloud.
“Underpinning all of our efforts is Microsoft and OpenAI’s shared commitment to building AI systems and products that are trustworthy and safe.
“OpenAI’s leading research on AI Alignment and Microsoft’s Responsible AI Standard not only establish a leading and advancing framework for the safe deployment of our own AI technologies, but will also help guide the industry toward more responsible outcomes”, the company said.
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| Microsoft Extends Partnership with ChatGPT-maker OpenAI in a 'multibillion dollar’ Deal | Microsoft Extends Partnership ChatGPTmaker OpenAI multibillion dollar Deal Jimmys Post Skip content Jimmys Post Tech Advertising Automation Tech Advertising Artificial Intelligence Internet Marketing Reviews Blog Latest News Microsoft Extends Partnership ChatGPTmaker OpenAI multibillion dollar Deal ByJimmys Post Jan 24, 2023 Advertisements Read Time:2 Minute, 40 Second Today, Microsoft announced phase longterm partnership OpenAI, makers ChatGPT. The partnership MicrosoftChatGPT multiyear, multibillion dollar investment accelerate AI breakthroughs ensure benefits broadly shared world. This agreement follows Microsofts previous investments 2019 2021. Itextends ongoing collaborationacross AI supercomputing research enables independently commercialize resulting advanced AI technologies, Microsoft said. Under new deal: 1. Supercomputing scale Microsoft increase investments development deployment specialized supercomputing systems accelerate OpenAIs groundbreaking independent AI research. We continue build Azures leading AI infrastructure help customers build deploy AI applications global scale. 2. New AIpowered experiences Microsoft deploy OpenAIs models consumer enterprise products introduce new categories digital experiences built OpenAIs technology. This includes Microsofts Azure OpenAI Service, empowers developers build cuttingedge AI applications direct access OpenAI models backed Azures trusted, enterprisegrade capabilities AIoptimized infrastructure tools. 3. Exclusive cloud provider As OpenAIs exclusive cloud provider, Azure power OpenAI workloads research, products API services. We formed partnership OpenAI shared ambition responsibly advance cuttingedge AI research democratize AI new technology platform, said Satya Nadella, Chairman CEO, Microsoft. In phase partnership, developers organizations industries access best AI infrastructure, models, toolchain Azure build run applications. ALSO READ: ChatGPT: A Revolutionary Chatbot Blurs Lines Humans Machines By Oluseyi Akindeinde The past years partnership great, said Sam Altman, CEO OpenAI. Microsoft shares values excited continue independent research work creating advanced AI benefits everyone. Since 2016, Microsoft committed building Azure AI supercomputer world, serving foundation vision democratize AI platform. Through initial investment collaboration, Microsoft OpenAI pushed frontier cloud supercomputing technology, announcing ourfirst top5 supercomputerin 2020, subsequently constructing multiple AI supercomputing systems massive scale. OpenAI infrastructure train breakthrough models, deployed Azure power categorydefining AI products like GitHub Copilot, DALLE 2 ChatGPT. These innovations captured imaginations introduced largescale AI powerful, generalpurpose technology platform believe create transformative impact magnitude personal computer, internet, mobile devices cloud. Underpinning efforts Microsoft OpenAIs shared commitment building AI systems products trustworthy safe. OpenAIs leading research onAI Alignmentand MicrosoftsResponsible AI Standardnot establish leading advancing framework safe deployment AI technologies, help guide industry responsible outcomes, company said. Post Views: 27 Advertisements Post navigation Source link Share this:TwitterFacebookMoreLinkedInWhatsAppEmail Post navigation 21st Century Technologies Commissions Digital Expert Academy Lagos Related Post Latest News 21st Century Technologies Commissions Digital Expert Academy Lagos Jan 23, 2023 Latest News FBI director warns Beijings AI program Jan 23, 2023 Latest News Excitement 2 Konga Shoppers Confirmed Allexpense Paid Weekend Mentorship Ekeh, Zinox boss Jan 23, 2023 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. You missed Technology SONIFI Health Promotes Senior Vice President Kelly Boyd General Manager Jan 24, 2023 Jimmys Post Advertising Table Two Table You? finds Single By Choice Reduces Financial Stress This Valentines Day Jan 24, 2023 Jimmys Post Latest News Microsoft Extends Partnership ChatGPTmaker OpenAI multibillion dollar Deal Jan 24, 2023 Jimmys Post Blog Raven SR H3 Dynamics Collaborate WastetoHydrogen Supply Aviation Operations Jan 24, 2023 Jimmys Post Jimmys Post Tech Advertising Automation Proudly powered WordPress Theme: Newspaperex Themeansar. Policy Us | 2,023 | [
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https://jimmyspost.com/sourcecode-expands-global-ai-presence-with-acquisition-of-boston-limited | 2023-06-26T00:00:00 | en | SourceCode™ Expands Global AI Presence with Acquisition of Boston Limited - Jimmys Post |
SourceCode™ Expands Global AI Presence with Acquisition of Boston Limited - Jimmys Post
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SourceCode™ Expands Global AI Presence with Acquisition of Boston Limited
June 26, 2023 by Jimmys Post
SourceCode a Cerberus Company also Announces New Board Appointments for the New Era of Co-Designed AI-Enabled Infrastructure
NORWOOD, Mass., June 26, 2023 /PRNewswire/ — SourceCode, a pioneer of co-designed, custom, certified IT systems for next generation AI infrastructure spanning the cloud, datacenter and edge, today announced that it has agreed to acquire UK-EU-based Boston Limited, a leading provider of high-performance server and storage solutions for the significant growth in business around data, media, and AI as well as traditional IT workloads. SourceCode is a portfolio company of Cerberus Capital Management, L.P. (“Cerberus”), a global leader in alternative investing. The transaction is expected to close on June 30, 2023.
With a combined presence across four continents, the synergistic addition of Boston Limited will create a global powerhouse able to serve local and global customers with a rich set of device-to-datacenter-to-cloud offerings.
Arthur Ataie, SourceCode CEO, said: “As the world moves towards intelligent infrastructure, the modern enterprise with its burgeoning specialized workloads demands a new approach to IT solutions. The addition of Boston Limited, further enables us to address the industry’s need for a new class of technology partner, one that delivers customer-first, engineering-led, best-in-class solutions — from intelligent edge devices to data centers and the cloud.”
With an increase in size, scope, and strength, SourceCode is also strengthening its collaboration with its long-term trusted partners in the semiconductor, original device manufacturers (ODM), and software industries. This will allow SourceCode to better serve the needs of its clients—with a broader product portfolio, stronger supply chain, and worldwide reach.
“I am very happy to see two of our oldest friends join hands to make a bigger group that can leverage the systems we design and manufacture at Supermicro. Our facilities are well known to both SourceCode and Boston and I feel this is a strong move that will provide benefits to all of us and the industry,” commented Charles Liang, Founder and CEO of Super Micro Computer Inc.
Boston Limited original founders, Manoj Nayee and Dev Tyagi, will continue in the combined company.
“It seems like a homecoming!” said Manoj Nayee, Managing Director and co-founder of Boston Limited. “Boston and SourceCode were both founded in 1992 and share a proud heritage, a customer-first culture, and excellent reputation with leading organizations across four continents. As we serve more global customers with a richer set of customized solutions, the time is right to join forces with SourceCode. We are entering this next phase with a clear strategy, unrelenting support, and long-term commitment to work towards accelerated growth with the executive teams at SourceCode and Cerberus Capital Management.”
SourceCode will accelerate its already substantial focus on delivering co-designed and customized computing solutions for emerging needs such as generative artificial intelligence, intelligent edge compute, and high-performance computing, offering solutions for edge devices to datacenter and large-scale systems.
Michael Sanford, Global Head of Private Equity at Cerberus, added: “SourceCode is a key player in enabling critically important technology infrastructures, which is an area of focus for Cerberus. This combination creates a global leader serving partners across industry verticals and governmental organizations.” Cerberus acquired SourceCode in 2021.
New Board Members
SourceCode also announced the appointment of two industry luminaries to its Board of Directors: Alain Andreolli, former president, and EVP of the Hybrid IT Group at HPE, and Peter Ungaro, former CEO of supercomputer leader Cray and subsequently SVP/GM of HPC & MCS at HPE.
Shaygan Kheradpir, Chairman of the SourceCode Board and Technology-Telecom team lead at Cerberus, commented: “Our advanced technology investments drive a clear vision towards a new era in global competitiveness and supply chains, with highly customized AI applications for enterprises and individuals that deliver immersive experiences via industrial strength 5G networks. In addition to this acquisition, I am delighted to welcome globally recognized industry leaders Alain and Peter to our Board. These appointments, alongside our combination with the talented team at Boston Limited, position SourceCode exceptionally well for the future.”
Alain F. Andreoli is a global CEO, board member, investor, and geopolitical visionary at Earth our Country, which he founded in 2019. He spent nearly eight years at HPE, most recently as President/EVP of the Hybrid IT Group, a $16 billion P&L core business of HPE including hybrid cloud, compute, storage, networking, HPC, and software. He was Chairman and CEO at Hubwoo, a public Euronext company, and President of European Operations at Sun Microsystems. Mr. Andreoli was also President and CEO at X-IO Technologies, and President and COO at NTT Japan/Verio.
Peter Ungaro is a globally recognized technology executive, among the “40 under 40” by Corporate Leader Magazine in 2008, and CEO of the Year in 2006 by Seattle Business Monthly. He was most recently SVP/GM of HPC & MCS at HPE, a key area of growth for the company. Previously, he was President and CEO for Cray. Prior to joining Cray in 2003, Mr. Ungaro served as Vice President of Worldwide Deep Computing Sales for IBM, where he led global sales of all IBM server and storage products for high performance computing, life sciences, digital media, and business intelligence markets.
About SourceCode
Founded in 1992, SourceCode is a global provider of co-designed, custom, certified IT systems for next generation intelligent infrastructure. The company’s edge devices, desktop, servers, storage, clusters, and reference architectures are available via its industry-leading ecommerce platform as well as its customer-centered engineering-led engagement model. Learn more at www.SourceCode.com.
About Boston Limited
Boston Limited has been synonymous with servers, storage, and solutions for 30 years, establishing itself as the early adopter of a wide variety of global technology partners and a leading global provider of tomorrow’s technology today. With offices in the UK, France, Germany, USA, South Africa, and Australia, Boston provides consulting and training services in Machine Learning, AI, Security, and Storage, across several different industries. Visit: www.boston.co.uk
About Cerberus
Founded in 1992, Cerberus is a global leader in alternative investing with approximately $60 billion in assets under management across complementary credit, private equity, and real estate strategies. We invest across the capital structure where we believe our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at www.cerberus.com.
CONTACT: Cindee [email protected]
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| SourceCode™ Expands Global AI Presence with Acquisition of Boston Limited | SourceCode Expands Global AI Presence Acquisition Boston Limited Jimmys Post Skip content Jimmys Post Menu Tech Advertising Artificial Intelligence Internet Marketing Blog SourceCode Expands Global AI Presence Acquisition Boston Limited June 26, 2023 Jimmys Post SourceCode Cerberus Company Announces New Board Appointments New Era CoDesigned AIEnabled Infrastructure NORWOOD, Mass., June 26, 2023 PRNewswire SourceCode, pioneer codesigned, custom, certified IT systems generation AI infrastructure spanning cloud, datacenter edge, today announced agreed acquire UKEUbased Boston Limited, leading provider highperformance server storage solutions significant growth business data, media, AI traditional IT workloads. SourceCode portfolio company Cerberus Capital Management, L.P. Cerberus, global leader alternative investing. The transaction expected close June 30, 2023. With combined presence continents, synergistic addition Boston Limited create global powerhouse able serve local global customers rich set devicetodatacentertocloud offerings. Arthur Ataie, SourceCode CEO, said: As world moves intelligent infrastructure, modern enterprise burgeoning specialized workloads demands new approach IT solutions. The addition Boston Limited, enables address industrys need new class technology partner, delivers customerfirst, engineeringled, bestinclass solutions intelligent edge devices data centers cloud. With increase size, scope, strength, SourceCode strengthening collaboration longterm trusted partners semiconductor, original device manufacturers ODM, software industries. This allow SourceCode better serve needs clientswith broader product portfolio, stronger supply chain, worldwide reach. I happy oldest friends join hands bigger group leverage systems design manufacture Supermicro. Our facilities known SourceCode Boston I feel strong provide benefits industry, commented Charles Liang, Founder CEO Super Micro Computer . Boston Limited original founders, Manoj Nayee Dev Tyagi, continue combined company. It like homecoming said Manoj Nayee, Managing Director cofounder Boston Limited. Boston SourceCode founded 1992 share proud heritage, customerfirst culture, excellent reputation leading organizations continents. As serve global customers richer set customized solutions, time right join forces SourceCode. We entering phase clear strategy, unrelenting support, longterm commitment work accelerated growth executive teams SourceCode Cerberus Capital Management. SourceCode accelerate substantial focus delivering codesigned customized computing solutions emerging needs generative artificial intelligence, intelligent edge compute, highperformance computing, offering solutions edge devices datacenter largescale systems. Michael Sanford, Global Head Private Equity Cerberus, added: SourceCode key player enabling critically important technology infrastructures, area focus Cerberus. This combination creates global leader serving partners industry verticals governmental organizations. Cerberus acquired SourceCode 2021. New Board Members SourceCode announced appointment industry luminaries Board Directors: Alain Andreolli, president, EVP Hybrid IT Group HPE, Peter Ungaro, CEO supercomputer leader Cray subsequently SVPGM HPC MCS HPE. Shaygan Kheradpir, Chairman SourceCode Board TechnologyTelecom team lead Cerberus, commented: Our advanced technology investments drive clear vision new era global competitiveness supply chains, highly customized AI applications enterprises individuals deliver immersive experiences industrial strength 5G networks. In addition acquisition, I delighted welcome globally recognized industry leaders Alain Peter Board. These appointments, alongside combination talented team Boston Limited, position SourceCode exceptionally future. Alain F. Andreoli global CEO, board member, investor, geopolitical visionary Earth Country, founded 2019. He spent nearly years HPE, recently PresidentEVP Hybrid IT Group, 16 billion PL core business HPE including hybrid cloud, compute, storage, networking, HPC, software. He Chairman CEO Hubwoo, public Euronext company, President European Operations Sun Microsystems. Mr. Andreoli President CEO XIO Technologies, President COO NTT JapanVerio. Peter Ungaro globally recognized technology executive, 40 40 Corporate Leader Magazine 2008, CEO Year 2006 Seattle Business Monthly. He recently SVPGM HPC MCS HPE, key area growth company. Previously, President CEO Cray. Prior joining Cray 2003, Mr. Ungaro served Vice President Worldwide Deep Computing Sales IBM, led global sales IBM server storage products high performance computing, life sciences, digital media, business intelligence markets. About SourceCode Founded 1992, SourceCode global provider codesigned, custom, certified IT systems generation intelligent infrastructure. The companys edge devices, desktop, servers, storage, clusters, reference architectures available industryleading ecommerce platform customercentered engineeringled engagement model. Learn About Boston Limited Boston Limited synonymous servers, storage, solutions 30 years, establishing early adopter wide variety global technology partners leading global provider tomorrows technology today. With offices UK, France, Germany, USA, South Africa, Australia, Boston provides consulting training services Machine Learning, AI, Security, Storage, different industries. Visit: About Cerberus Founded 1992, Cerberus global leader alternative investing approximately 60 billion assets management complementary credit, private equity, real estate strategies. We invest capital structure believe integrated investment platforms proprietary operating capabilities create edge improve performance drive longterm value. Our tenured teams experience working collaboratively asset classes, sectors, geographies seek strong riskadjusted returns investors. For information people platforms, visit CONTACT: Cindee Mockcmock View original content download multimedia: SOURCE SourceCode Share this:TwitterFacebookMoreLinkedInWhatsAppEmail Related Categories Technology Leave Comment Cancel replyCommentName Email Website Save name, email, website browser time I comment. Policy Us 2023 Jimmys Post. . for: | 2,023 | [
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] | 1 | 2,072 |
https://kalingatv.com/technology/google-announces-ai-features-in-gmail-docs-sheets-more/ | 2023-03-15T00:00:00 | en | Google announces AI features in Gmail, Docs, Sheets, more |
Google announces AI features in Gmail, Docs, Sheets, more
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HomeTechnologyGoogle announces AI features in Gmail, Docs, Sheets, more
Google announces AI features in Gmail, Docs, Sheets, more
Google has announced new generative AI features for its Workspace apps, including Google Docs, Gmail, Sheets, Slides, Meet, and Chat.
Technology
By IANS
On Mar 15, 2023
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New Delhi: Google has announced new generative AI features for its Workspace apps, including Google Docs, Gmail, Sheets, Slides, Meet, and Chat.
With the new AI features, users will be able to draft, reply, summarise and prioritise their Gmail.
In Docs, they will get to brainstorm, proofread, write, and rewrite, while in Slides, they will get to bring their creative vision to life with auto-generated images, audio, and video.
Moreover, in Sheets, users will be able to go from raw data to insights and analysis via auto-completion, formula generation, and contextual categorization, while in Meet, they will be able to generate new backgrounds and capture notes.
Take a look
OpenAI announces new AI model ‘GPT-4’ that accepts image,…
Mar 15, 2023
New HP Chromebook 15.6 laptop launched in India at starting price of…
Mar 14, 2023
In Chat, the new AI features will enable workflows for getting things done for users.
“We’ll launch these new experiences this month via our trusted tester programme, starting with English in the US. From there, we’ll iterate and refine the experiences before making them available more broadly to consumers, small businesses, enterprises, and educational institutions in more countries and languages,” Google said in a blogpost.
Meanwhile, Google is reportedly working on a new “Search Companion” feature for its web browser Google Chrome.
The Search Companion will be a helpful new way to search the web using Lens.
With the new feature, the tech giant aims to bring a deeper connection between Lens and Chrome.
Googletechnology news
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| Google announces AI features in Gmail, Docs, Sheets, more | Google announces AI features Gmail, Docs, Sheets, Kahe Thik Dikhaye Thik Likes Followers rs Followers Likes Followers Followers rs iOS App Android App Wednesday, March 15, 2023 COVID 19 Health Astrology Education Features Miscellany Editorial Kalinga TV Kahe Thik Dikhaye Thik Home Live TV State Nation World Sports Entertainment Business Automobile Technology Recruitment Offbeat Miscellany HomeTechnologyGoogle announces AI features Gmail, Docs, Sheets, Google announces AI features Gmail, Docs, Sheets, Google announced new generative AI features Workspace apps, including Google Docs, Gmail, Sheets, Slides, Meet, Chat. Technology By IANS On Mar 15, 2023 0 New Delhi: Google announced new generative AI features Workspace apps, including Google Docs, Gmail, Sheets, Slides, Meet, Chat. With new AI features, users able draft, reply, summarise prioritise Gmail. In Docs, brainstorm, proofread, write, rewrite, Slides, bring creative vision life autogenerated images, audio, video. Moreover, Sheets, users able raw data insights analysis autocompletion, formula generation, contextual categorization, Meet, able generate new backgrounds capture notes. Take look OpenAI announces new AI model GPT4 accepts image, Mar 15, 2023 New HP Chromebook 15.6 laptop launched India starting price Mar 14, 2023 In Chat, new AI features enable workflows getting things users. Well launch new experiences month trusted tester programme, starting English US. From there, iterate refine experiences making available broadly consumers, small businesses, enterprises, educational institutions countries languages, Google said blogpost. Meanwhile, Google reportedly working new Companion feature web browser Google Chrome. The Companion helpful new way search web Lens. With new feature, tech giant aims bring deeper connection Lens Chrome. Googletechnology news 0 Share IANS 18285 news Prev News Leopard attack Nuapada Odisha, locals panic Next News Salary MLAs Odisha likely increased You like Technology Itel launch smartphone 6,000mAh battery Rs 8,000 Technology Design 4 new iPhone 15 models revealed, look Technology Nokia C12 unveiled, cost Rs 5999 Technology Samsung Galaxy F14 5G launch India week Rs 15K Leave A Reply Cancel ReplyYour email address published. Save name, email, website browser time I comment. This site uses Akismet reduce spam. Learn comment data processed. Whats Luck Horoscope March 15, 2023: Stressful day Cancer Horoscope March 14, 2023: Luck prevail Aries Horoscope March 13, 2023: Good news Libra Weekly horoscope March 1319: Take charge Leo Horoscope March 12, 2023: Be careful Leo You Must 23 year old girl pens heartwarming note Mar 15, 2023 Snake gets eaten frog, fights cat: Watch viral video Mar 14, 2023 Anand Mahindra shares pic Indias Mar 14, 2023 US cops dance Naatu Naatu, desi netizens Mar 14, 2023 Gurugram man marries women, wives divide week share Mar 14, 2023 Prev Next Kalinga TV initiative Kalinga Media Entertainment Private Limited KMEPL stop solution news needs. It provides regular updates latest happenings, State International affairs. If dont Kalinga TV Website, elsewhere. COMPANY Advertise Us Career Us Disclaimer Terms Of Service Subcribe Us timely updates Popular Categories State39008 Nation17023 Entertainment6865 Technology6442 World6371 Business5652 Founders Message About Editor Career Us Art Giving Advertise Us Disclaimer Terms Of Service 2023 KalingaTV. . buy ivermectin buy ivermectin humans Portal Devloped Maintained Kalinga TV Home Live TV State Nation World Sports Entertainment Business Automobile Technology Recruitment Offbeat Miscellany | 2,023 | [
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] | 1 | 2,073 |
https://kdvr.com/news/money/ap-amid-chatgpt-outcry-some-teachers-are-inviting-ai-to-class/ | 2023-02-14T00:00:00 | en | Amid ChatGPT outcry, some teachers are inviting AI to class | FOX31 Denver |
Amid ChatGPT outcry, some teachers are inviting AI to class | FOX31 Denver
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Bella Whitice talks with classmate Katherine McCormick as they try and outwit the “robot” that was creating writing assignments in Donnie Piercey’s… Read More
Bella Whitice talks with classmate Katherine McCormick as they try and outwit the “robot” that was creating writing assignments in Donnie Piercey’s class at Stonewall Elementary in Lexington, Ky., Monday, Feb. 6, 2023. The robot was the new artificial intelligence tool ChatGPT which can generate everything from essays and haikus to term papers in a matter of seconds. (AP Photo/Timothy D. Easley) Read Less
Money
Amid ChatGPT outcry, some teachers are inviting AI to class
by: JOCELYN GECKER, Associated Press
Posted: Feb 14, 2023 / 05:06 AM MST
Updated: Feb 14, 2023 / 07:15 AM MST
Bella Whitice talks with classmate Katherine McCormick as they try and outwit the “robot” that was creating writing assignments in Donnie Piercey’s… Read More
Bella Whitice talks with classmate Katherine McCormick as they try and outwit the “robot” that was creating writing assignments in Donnie Piercey’s class at Stonewall Elementary in Lexington, Ky., Monday, Feb. 6, 2023. The robot was the new artificial intelligence tool ChatGPT which can generate everything from essays and haikus to term papers in a matter of seconds. (AP Photo/Timothy D. Easley) Read Less
by: JOCELYN GECKER, Associated Press
Posted: Feb 14, 2023 / 05:06 AM MST
Updated: Feb 14, 2023 / 07:15 AM MST
SHARE
LEXINGTON, Ky. (AP) — Under the fluorescent lights of a fifth grade classroom in Lexington, Kentucky, Donnie Piercey instructed his 23 students to try and outwit the “robot” that was churning out writing assignments.
The robot was the new artificial intelligence tool ChatGPT, which can generate everything from essays and haikus to term papers within seconds. The technology has panicked teachers and prompted school districts to block access to the site. But Piercey has taken another approach by embracing it as a teaching tool, saying his job is to prepare students for a world where knowledge of AI will be required.
“This is the future,” said Piercey, who describes ChatGPT as just the latest technology in his 17 years of teaching that prompted concerns about the potential for cheating. The calculator, spellcheck, Google, Wikipedia, YouTube. Now all his students have Chromebooks on their desks. “As educators, we haven’t figured out the best way to use artificial intelligence yet. But it’s coming, whether we want it to or not.”
One exercise in his class pitted students against the machine in a lively, interactive writing game. Piercey asked students to “Find the Bot:” Each student summarized a text about boxing champion and Kentucky icon Muhammad Ali, then tried to figure out which was written by the chatbot.
At the elementary school level, Piercey is less worried about cheating and plagiarism than high school teachers. His district has blocked students from ChatGPT while allowing teacher access. Many educators around the country say districts need time to evaluate and figure out the chatbot but also acknowledge the futility of a ban that today’s tech-savvy students can work around.
“To be perfectly honest, do I wish it could be uninvented? Yes. But it happened,” said Steve Darlow, the technology trainer at Florida’s Santa Rosa County District Schools, which has blocked the application on school-issued devices and networks.
He sees the advent of AI platforms as both “revolutionary and disruptive” to education. He envisions teachers asking ChatGPT to make “amazing lesson plans for a substitute” or even for help grading papers. “I know it’s lofty talk, but this is a real game changer. You are going to have an advantage in life and business and education from using it.”
ChatGPT quickly became a global phenomenon after its November launch, and rival companies including Google are racing to release their own versions of AI-powered chatbots.
The topic of AI platforms and how schools should respond drew hundreds of educators to conference rooms at the Future of Education Technology Conference in New Orleans last month, where Texas math teacher Heather Brantley gave an enthusiastic talk on the “Magic of Writing with AI for all Subjects.”
Brantley said she was amazed at ChatGPT’s ability to make her sixth grade math lessons more creative and applicable to everyday life.
“I’m using ChatGPT to enhance all my lessons,” she said in an interview. The platform is blocked for students but open to teachers at her school, White Oak Intermediate. “Take any lesson you’re doing and say, ‘Give me a real-world example,’ and you’ll get examples from today — not 20 years ago when the textbooks we’re using were written.”
For a lesson about slope, the chatbot suggested students build ramps out of cardboard and other items found in a classroom, then measure the slope. For teaching about surface area, the chatbot noted that sixth graders would see how the concept applies to real life when wrapping gifts or building a cardboard box, said Brantley.
She is urging districts to train staff to use the AI platform to stimulate student creativity and problem solving skills. “We have an opportunity to guide our students with the next big thing that will be part of their entire lives. Let’s not block it and shut them out.”
Students in Piercey’s class said the novelty of working with a chatbot makes learning fun.
After a few rounds of “Find the Bot,” Piercey asked his class what skills it helped them hone. Hands shot up. “How to properly summarize and correctly capitalize words and use commas,” said one student. A lively discussion ensued on the importance of developing a writing voice and how some of the chatbot’s sentences lacked flair or sounded stilted.
Trevor James Medley, 11, felt that sentences written by students “have a little more feeling. More backbone. More flavor.”
Next, the class turned to playwriting, or as the worksheet handed out by Piercey called it: “Pl-ai Writing.” The students broke into groups and wrote down (using pencils and paper) the characters of a short play with three scenes to unfold in a plot that included a problem that needs to get solved.
Piercey fed details from worksheets into the ChatGPT site, along with instructions to set the scenes inside a fifth grade classroom and to add a surprise ending. Line by line, it generated fully formed scripts, which the students edited, briefly rehearsed and then performed.
One was about a class computer that escapes, with students going on a hunt to find it. The play’s creators giggled over unexpected plot twists that the chatbot introduced, including sending the students on a time travel adventure.
“First of all, I was impressed,” said Olivia Laksi, 10, one of the protagonists. She liked how the chatbot came up with creative ideas. But she also liked how Piercey urged them to revise any phrases or stage directions they didn’t like. “It’s helpful in the sense that it gives you a starting point. It’s a good idea generator.”
She and classmate Katherine McCormick, 10, said they can see the pros and cons of working with chatbots. They can help students navigate writer’s block and help those who have trouble articulating their thoughts on paper. And there is no limit to the creativity it can add to classwork.
The fifth graders seemed unaware of the hype or controversy surrounding ChatGPT. For these children, who will grow up as the world’s first native AI users, their approach is simple: Use it for suggestions, but do your own work.
“You shouldn’t take advantage of it,” McCormick says. “You’re not learning anything if you type in what you want, and then it gives you the answer.”
___
Associated Press writer Sharon Lurye contributed to this report from New Orleans.
___
The Associated Press education team receives support from the Carnegie Corporation of New York. The AP is solely responsible for all content.
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Bella Whitice talks classmate Katherine McCormick try outwit robot creating writing assignments Donnie Pierceys Read More Bella Whitice talks classmate Katherine McCormick try outwit robot creating writing assignments Donnie Pierceys class Stonewall Elementary Lexington, Ky., Monday, Feb. 6, 2023.The robot new artificial intelligence tool ChatGPT generate essays haikus term papers matter seconds. AP PhotoTimothy D. EasleyRead Less Money Amid ChatGPT outcry, teachers inviting AI class by: JOCELYN GECKER, Associated Press Posted: Feb 14, 2023 05:06 AM MST Updated: Feb 14, 2023 07:15 AM MST Bella Whitice talks classmate Katherine McCormick try outwit robot creating writing assignments Donnie Pierceys Read More Bella Whitice talks classmate Katherine McCormick try outwit robot creating writing assignments Donnie Pierceys class Stonewall Elementary Lexington, Ky., Monday, Feb. 6, 2023.The robot new artificial intelligence tool ChatGPT generate essays haikus term papers matter seconds. AP PhotoTimothy D. Easley Read Less by: JOCELYN GECKER, Associated Press Posted: Feb 14, 2023 05:06 AM MST Updated: Feb 14, 2023 07:15 AM MST SHARE LEXINGTON, Ky. AP Under fluorescent lights fifth grade classroom Lexington, Kentucky, Donnie Piercey instructed 23 students try outwit robot churning writing assignments. The robot new artificial intelligence tool ChatGPT, generate essays haikus term papers seconds. The technology panicked teachers prompted school districts block access site. But Piercey taken approach embracing teaching tool, saying job prepare students world knowledge AI required. This future, said Piercey, describes ChatGPT latest technology 17 years teaching prompted concerns potential cheating. The calculator, spellcheck, Google, Wikipedia, YouTube. Now students Chromebooks desks. As educators, havent figured best way use artificial intelligence yet. But coming, want not. One exercise class pitted students machine lively, interactive writing game. Piercey asked students Find Bot: Each student summarized text boxing champion Kentucky icon Muhammad Ali, tried figure written chatbot. At elementary school level, Piercey worried cheating plagiarism high school teachers. His district blocked students ChatGPT allowing teacher access. Many educators country districts need time evaluate figure chatbot acknowledge futility ban todays techsavvy students work around. To perfectly honest, I wish uninvented? Yes. But happened, said Steve Darlow, technology trainer Floridas Santa Rosa County District Schools, blocked application schoolissued devices networks. He sees advent AI platforms revolutionary disruptive education. He envisions teachers asking ChatGPT amazing lesson plans substitute help grading papers. I know lofty talk, real game changer. You going advantage life business education it. ChatGPT quickly global phenomenon November launch, rival companies including Google racing release versions AIpowered chatbots. The topic AI platforms schools respond drew hundreds educators conference rooms Future Education Technology Conference New Orleans month, Texas math teacher Heather Brantley gave enthusiastic talk Magic Writing AI Subjects. Brantley said amazed ChatGPTs ability sixth grade math lessons creative applicable everyday life. Im ChatGPT enhance lessons, said interview. The platform blocked students open teachers school, White Oak Intermediate. Take lesson youre say, Give realworld example, youll examples today 20 years ago textbooks written. For lesson slope, chatbot suggested students build ramps cardboard items classroom, measure slope. For teaching surface area, chatbot noted sixth graders concept applies real life wrapping gifts building cardboard box, said Brantley. She urging districts train staff use AI platform stimulate student creativity problem solving skills. We opportunity guide students big thing entire lives. Lets block shut out. Students Pierceys class said novelty working chatbot makes learning fun. After rounds Find Bot, Piercey asked class skills helped hone. Hands shot up. How properly summarize correctly capitalize words use commas, said student. A lively discussion ensued importance developing writing voice chatbots sentences lacked flair sounded stilted. Trevor James Medley, 11, felt sentences written students little feeling. More backbone. More flavor. Next, class turned playwriting, worksheet handed Piercey called it: Plai Writing. The students broke groups wrote pencils paper characters short play scenes unfold plot included problem needs solved. Piercey fed details worksheets ChatGPT site, instructions set scenes inside fifth grade classroom add surprise ending. Line line, generated fully formed scripts, students edited, briefly rehearsed performed. One class escapes, students going hunt it. The plays creators giggled unexpected plot twists chatbot introduced, including sending students time travel adventure. First all, I impressed, said Olivia Laksi, 10, protagonists. She liked chatbot came creative ideas. But liked Piercey urged revise phrases stage directions didnt like. Its helpful sense gives starting point. Its good idea generator. She classmate Katherine McCormick, 10, said pros cons working chatbots. They help students navigate writers block help trouble articulating thoughts paper. And limit creativity add classwork. The fifth graders unaware hype controversy surrounding ChatGPT. For children, grow worlds native AI users, approach simple: Use suggestions, work. You shouldnt advantage it, McCormick says. Youre learning type want, gives answer. ___ Associated Press writer Sharon Lurye contributed report New Orleans. ___ The Associated Press education team receives support Carnegie Corporation New York. The AP solely responsible content. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 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https://kdvr.com/news/money/davos-updates-climate-top-of-the-agenda-amid-key-speeches/ | 2022-05-25T00:00:00 | en | Davos updates | Soros: New tech, AI help repressive regimes | FOX31 Denver |
Davos updates | Soros: New tech, AI help repressive regimes | FOX31 Denver
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Money
Davos updates | Soros: New tech, AI help repressive regimes
Posted: May 24, 2022 / 02:26 AM MDT
Updated: May 24, 2022 / 01:04 PM MDT
Posted: May 24, 2022 / 02:26 AM MDT
Updated: May 24, 2022 / 01:04 PM MDT
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DAVOS, Switzerland (AP) — Billionaire investor turned philanthropist George Soros has blamed new technology for helping repressive regimes like Russia and China exert greater control.
Speaking Tuesday at a dinner for journalists on the sidelines of the World Economic Forum’s annual gathering in Davos, Switzerland, Soros said China and Russia were the greatest threats to open democratic societies today, thanks to the “rapid development of digital technology, especially artificial intelligence.”
AI “is particularly good at producing instruments of control that help repressive regimes and endanger open societies,” he said.
“COVID-19 also helped legitimize instruments of control because they’re really useful in dealing with the virus.”
Soros also held forth on Russian President Vladimir Putin’s war on Ukraine and Chinese leader Xi Jinping’s decision to double down on his “zero covid” policy, which he said was a big mistake because it pushed China’s economy into “freefall.”
On climate change, Soros said it was on the verge of becoming irreversible and “that could be the end of our civilization.”
___
U.S. climate envoy John Kerry says the U.S. and China are making progress on putting together a group to work toward quickly reducing greenhouse gas emissions.
Kerry told The Associated Press during the World Economic Forum meeting in Davos that the the world’s two largest emitters of greenhouse gases are close to agreeing on the structure of the group and how decisions would be made.
He says “we are going to work on the practicalities of how we move faster” to reduce emissions. Kerry noted that “maybe we can help with technology of some kind to help China move faster. Maybe China could help us better understand some things we could do better.”
The agreement was reached during the U.N. climate summit last year in Glasgow, Scotland. For the first time, China agreed to crack down on methane leaks. On Tuesday, Kerry said that reducing coal consumption would also be a central focus for the group.
Kerry says he was hopeful that climate change legislation in Congress was still possible. There’s no sign of progress, or even movement.
When asked whether he planned to step down soon, as some have speculated with Congress stalled on climate legislation, Kerry said “nobody is going to be in one job forever” but he wasn’t planning to move on.
He says he’s working toward the U.N. Climate Change Conference in Egypt in November.
___
A top adviser to new South Korean President Yoon Suk Yeol says North Korea hasn’t responded to a proposal to send COVID-19 vaccines to the reclusive country.
Na Kyung Won told reporters that she was meeting with officials from the Red Cross and the international vaccine group Gavi in Davos, Switzerland, about ways to help send coronavirus vaccines and other medicines — but Pyongyang has been silent.
Na told The Associated Press Tuesday at the World Economic Forum meeting that “we worry because North Korea doesn’t open, frankly.”
Before acknowledging an outbreak of the omicron variant on May 12, North Korea had insisted it was virus-free throughout the COVID-19 pandemic. It snubbed millions of vaccines offered by the U.N.-backed COVAX distribution program and has not responded to offers of medicine and other aid from South Korea and the U.S.
Gavi, which runs COVAX with partners, said it hasn’t received any requests for COVID-19 vaccines from North Korea, but it has allocated doses for the country.
The World Health Organization has pleaded for more information on the outbreak but not gotten a response.
___
Leaders from some European nations and the head of NATO agreed that bolstering weapons systems and arming Ukraine is critical as Russia attacks its neighbor.
Speaking on a securing Europe panel Tuesday at the World Economic Forum’s meeting in Davos, Dutch Defense Minister Kajsa Ollongren says the European Union can join forces to provide complex systems that Ukraine needs.
Belgian Prime Minister Alexander De Croo says there needs to be more coordination on deciding what weapons systems the 27-nation bloc needs as a long-term security goal. Ollongren agreed.
North Macedonia President Stevo Pendarovski says joint weapons procurement is important long term but that it’s “critically important to help Ukraine now.”
NATO Secretary-General Jens Stoltenberg says the strongest way to support Ukraine is providing weapons, which allies are doing at unprecedented levels as Ukraine has requested. He reiterated that “we support Ukraine, but NATO will not be part of the conflict.”
Opening the session by video link, Andriy Yermak, head of the presidential administration of Ukraine, said, “You don’t need to wage this war, just help us to do it.”
He proposed an international advisory working group that would offer security guarantees for Ukraine, including providing weapons, funding for rebuilding and defense, maintaining sanctions against Russia and joining the EU as soon as possible.
___
European Commission President Ursula von der Leyen has accused Russia of deliberately bombarding grain warehouses across Ukraine and using food supplies as a weapon.
Russia’s invasion of Ukraine has created disruptions of global food supplies, with both countries two of the world’s biggest exporters of wheat, barley and sunflower oil. The blockade of Ukrainian ports has been particularly harmful, with the EU saying sea shipments accounted for 90% of grain and oilseed exports before the war.
Speaking at the World Economic Forum in Davos, the head of the EU’s executive arm said about 20 million tons of wheat are struck in Ukraine.
Von der Leyen says exports typically amount to 5 million tons of wheat per month, and it’s down to 200,000 to 1 million tons. She says “by getting it out, we can provide Ukrainians with much needed revenues, and the World Food Program with supplies it badly needs.”
The European Commission has proposed helping Ukraine export its wheat and other grains by rail, road and river to get around the Russian blockade of Black Sea ports. Von der Leyen said that fragile countries and vulnerable populations suffer the most, with bread prices in Lebanon having increased by 70% and food shipments from Odesa prevented from reaching Somalia.
Plus, she says “Russia is now hoarding its own food exports as a form of blackmail — holding back supplies to increase global prices, or trading wheat in exchange for political support. This is using hunger and grain to wield power.”
Von der Leyen added that the EU is stepping up its production to ease pressure on the global food market while supporting Africa to become less dependent on imports.
___
NATO Secretary-General Jens Stoltenberg says the war in Ukraine is providing proof that doing business with authoritarians in Russia or China poses risks for Western security.
Stoltenberg says “free trade has brought a lot of prosperity and wealth” but that it comes with “a price because some of this trade, some of this economic interaction with authoritarian regimes is undermining our security.”
Speaking Tuesday at the World Economic Forum in Davos, Stoltenberg said the idea that Europe “can buy as much gas from Russia as you want, that’s wrong. It’s dangerous. It provides Russia with a tool to intimidate and to use against us and that has been clearly demonstrated now.”
He warns against any overreliance on commodities or advanced technologies or by allowing foreign control over national infrastructure like 5G networks.
Stoltenberg says, “This is about Russia. But also about China. Another authoritarian regime that does not share our values. And that undermines the rules-based international order.”
___
Polish President Andrzej Duda says he sees no possibility for neighboring Ukraine to accept any peace terms dictated by Russia or to consent to give any of its territory to Russia.
Duda spoke Tuesday during a geopolitical outlook panel at the annual World Economic Forum meeting in Davos. He says “the mere drive to take revenge and regain what’s theirs is so powerful that I don’t believe that they (Ukrainians) could agree to peace terms that would boil down to the Russians taking again kilometers of Ukrainian land.”
He says the Russians have destroyed so much of Ukraine and the Ukrainians have spilled so much blood defending their country that any politician in Ukraine who would suggest bending to Russia’s demands “would simply be finished.”
Duda says any politician in the West who believes he can persuade Kyiv to accept any of Moscow’s terms is “deeply mistaken.”
Poland has been supporting Ukraine in its fight against Russia through political and defense means, and has accepted more than 3 million refugees fleeing the war.
___
U.S. climate envoy John Kerry says at the World Economic Forum’s annual gathering in Davos that Russia’s war in Ukraine shouldn’t deter climate goals.
Speaking at a news conference Tuesday about speeding up the road to “net zero,” Kerry says “we should not allow a false narrative to be created” that the war “somehow obviates the need to move forward and address the climate crisis.”
He says it’s possible to both meet the need of increased energy from fossil fuels in the short term, particularly in Europe, and stay on course to reduce emissions over the coming years.
Meanwhile, the head of the U.N. Framework Convention on Climate Change says the next climate change summit in Egypt in November will be a “pivotal moment” for the planet.
Patricia Espinosa Cantellano says negotiations are over and implementation is starting as an investment in “a better future for all.”
She says governments now need to assess how they can attract the right investments for energy transition.
___
Spanish Prime Minister Pedro Sánchez says he believes Sweden and Finland will succeed in joining NATO despite Turkey’s objections to their membership.
In an address Tuesday to the World Economic Forum in Davos, Sánchez says that “the political will of the allies is to welcome these two countries.”
He said Spain will “accelerate all the parliamentary processes” to the two Nordic nations important for NATO and European Union stability.
Turkey has objected over what it sees as Finland’s and Sweden’s support for groups it considers terrorists and their block on arms sales.
On the Russia-Ukraine war, Sánchez said it was “imperative that we make every effort to restore food productions, trade systems and achieve food security for the most vulnerable.”
U.S. Secretary of State Antony Blinken recently accused Russia of weaponizing food and holding hostage the grain the Ukraine produces for millions of people around the world. U.N. food chief David Beasley has warned that the war has created “an unprecedented crisis” of escalating food prices that are already sparking protests and riots and growing hunger.
___
Finland’s foreign minister said at the annual World Economic Forum meeting in Davos that a delegation from his country and Sweden will travel to the Turkish capital amid pushback from Turkey on the Nordic nations’ application to join NATO.
Finnish Foreign Minister Pekka Haavisto said Tuesday during a geopolitical outlook panel that the representatives will head to Turkey on Wednesday for talks.
Turkish Foreign Minister Mevlut Cavusoglu confirmed the negotiations. Turkey is objecting to Sweden’s and Finland’s historic bid to join the military alliance, citing their perceived support to the Kurdistan Workers’ Party, or PKK, and other groups that Turkey considers to be terrorists. Turkey also points to their arms exports restrictions against it.
Haavisto says he understands Turkey has “security concerns” regarding terrorism and that Finland has “good answers for those because we are also part of the fight against the terrorism. So, we think that this issue can be settled.”
NATO Secretary-General Jens Stoltenberg said at Davos that NATO will do “what we always do” and “that is to sit down and address concerns when allies express concerns.”
He says he’s confident that the group will be able to “solve these issues and to agree and then to welcome Finland and Sweden as full-fledged members of our alliance.”
___
Speakers on a migration panel at the World Economic Forum gathering say the European Union’s response to the arrival of millions of Ukrainian refugees was a stellar example of solidarity. But it also served as a reminder of the need for an overhaul of the bloc’s migration policy.
European Union Commission Vice President Margaritis Schinas said Tuesday in Davos that “this was Europe at its best.”
The exodus of more than 6 million Ukrainian refugees, mainly women and children, prompted the EU to activate an emergency protection system for the first time since its creation in 2001, facilitating access to jobs, housing, education and health care in the EU for Ukrainians.
Negotiations on a new migration and asylum policy in the EU proposed in 2020 have been stalled as member states disagree on whose responsibility it is to take in migrants and asylum-seekers arriving on its shores and land borders irregularly.
Schinas urged EU states to face “reality” and reach a consensus.
Moldovan Prime Minister Natalia Gavrilita says she’s proud of her small country’s reaction to the refugee crisis. It has seen half-a-million refugees crossing from Ukraine since the war began. She says Moldova has facilitated entry for those with expired passports, allowed them to bring pets and hosting displaced Ukrainians in their homes.
But she warned that more long-term help would be needed for Moldova to cope.
___
Kremlin critic Bill Browder wants governments to step up efforts to get to riches squirreled away by Russian oligarchs linked to President Vladimir Putin by forcing accountants, lawyers and others who set up murky legal and financial structures to become whistleblowers.
Browder, author of the nonfiction best-seller “Freezing Order: “A True Story of Money Laundering, Murder and Surviving Vladimir Putin’s Wrath,” says Russia’s war in Ukraine has raised the focus on how the oligarchs are custodians of the Russian leader’s wealth.
He told The Associated Press on Tuesday at the annual World Economic Forum meeting in Davos that “oligarchs are not naïve.” He says they have lawyers, asset protection specialists and shell companies.
The founder of Heritage Capital, an early investor in post-Soviet Russia, Browder raised the alarm after his Russian tax adviser Sergei Magnitsky died in a Russian prison in 2009.
Browder credited U.S. efforts to put a squeeze on the Kremlin since the war began, by putting a freeze on the assets of Russia’s central bank, chasing the oligarchs, halting exports of technology to Russia and supplying weapons to Ukraine.
But when it comes to getting Russian oligarchs’ money, Browder says “we’re only scratching the surface.”
Citing a “quite radical” solution, Browder says “what would solve the problem … is to force the people who set up these structures, the enablers, the lawyers, the accountants, the trustees under law to become whistleblowers for the government.”
He says such an amendment to money laundering and sanctions laws should come with fines and imprisonment.
___
The European Union’s top official said the 27-nation bloc should avoid becoming dependent to untrustworthy countries, like it did with fossil fuels from Russia, as it moves toward a greener economy with the need to find crucial raw materials.
Speaking Tuesday at the World Economic Forum’s annual gathering in Davos, European Commission Ursula von der Leyen said the “economies of the future” will no longer rely on oil and coal.
She says the green and digital transitions will increase the need for materials like lithium and silicon metal required for batteries, chips, electric vehicles or wind turbines.
The head of the EU’s executive arm says “we rely on a handful of producers in the world. So, we must avoid falling into the same trap as with oil and gas.”
Von der Leyen said the EU has secured materials partnerships with countries like Canada.
She added that the war in Ukraine has strengthened Europe’s determination to quickly get rid of Russian fossil fuels. EU countries have approved an embargo on coal from Russia but has yet to find a deal on sanctions targeting oil.
___
The head of the European Union’s executive arm says Russia’s war in Ukraine should end with a “strategic failure” for the invading country as she pledged Tuesday that the bloc will continue to invest massively in support of the war-torn nation.
In addition to the economic sanctions imposed on Russia and the military aid provided to Ukraine, European Commission President Ursula von der Leyen said the 27-nation EU has proposed over 10 billion euros in macro-financial assistance, the largest package ever offered to a third country.
She said the World Economic Forum’s annual gathering that the EU is “mobilizing our full economic power” and “we will, hand in hand, help Ukraine rise from the ashes.”
Von der Leyen added that reconstruction efforts also should aim to modernize Ukraine’s administration. It will be required if the country wants to join the 27-nation bloc in the future.
She says the reforms should “firmly establish the rule of law and the independence of (Ukraine’s) judiciary” and help tackle corruption.
___
The World Economic Forum’s annual gathering is resuming for a second day, with business leaders, government officials, representatives from global institutions and journalists gearing up for more panel talks and networking at the exclusive meeting in the Swiss Alps.
Tuesday’s agenda in Davos is packed with sessions on one of the meeting’s key themes — climate change. U.S. climate envoy John Kerry is due to make an appearance.
There also will be addresses by Spanish Prime Minister Pedro Sanchez, European Commission President Ursula von der Leyen and NATO Secretary-General Jens Stoltenberg.
Meanwhile, outside the conference venue, a Ukrainian activist was planning a street performance to urge foreign energy companies to stop doing business with Russia.
Later, billionaire financier George Soros is hosting a dinner for media — a non-official forum event but a fixture outside the Davos meeting.
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The Prime Minister of Spain Pedro Sanchez, second from left, arrives at the World Economic Forum in Davos, Switzerland, Tuesday, May 24, 2022. The annual meeting of the World Economic Forum is taking place in Davos from May 22 until May 26, 2022. (AP Photo/Markus Schreiber) Read Less
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| Davos updates | Davos updates Soros: New tech, AI help repressive regimes FOX31 Denver Skip content FOX31 Denver Denver 54 LIVE NOW Biden address nation soon Denver 54 LIVE Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. 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Money Davos updates Soros: New tech, AI help repressive regimes Posted: May 24, 2022 02:26 AM MDT Updated: May 24, 2022 01:04 PM MDT Posted: May 24, 2022 02:26 AM MDT Updated: May 24, 2022 01:04 PM MDT SHARE DAVOS, Switzerland AP Billionaire investor turned philanthropist George Soros blamed new technology helping repressive regimes like Russia China exert greater control. Speaking Tuesday dinner journalists sidelines World Economic Forums annual gathering Davos, Switzerland, Soros said China Russia greatest threats open democratic societies today, thanks rapid development digital technology, especially artificial intelligence. AI particularly good producing instruments control help repressive regimes endanger open societies, said. COVID19 helped legitimize instruments control theyre useful dealing virus. Soros held forth Russian President Vladimir Putins war Ukraine Chinese leader Xi Jinpings decision double zero covid policy, said big mistake pushed Chinas economy freefall. On climate change, Soros said verge irreversible end civilization. ___ U.S. climate envoy John Kerry says U.S. China making progress putting group work quickly reducing greenhouse gas emissions. Kerry told The Associated Press World Economic Forum meeting Davos worlds largest emitters greenhouse gases close agreeing structure group decisions made. He says going work practicalities faster reduce emissions. Kerry noted maybe help technology kind help China faster. Maybe China help better understand things better. The agreement reached U.N. climate summit year Glasgow, Scotland. For time, China agreed crack methane leaks. On Tuesday, Kerry said reducing coal consumption central focus group. Kerry says hopeful climate change legislation Congress possible. Theres sign progress, movement. When asked planned step soon, speculated Congress stalled climate legislation, Kerry said going job forever wasnt planning on. He says hes working U.N. Climate Change Conference Egypt November. ___ A adviser new South Korean President Yoon Suk Yeol says North Korea responded proposal send COVID19 vaccines reclusive country. Na Kyung Won told reporters meeting officials Red Cross international vaccine group Gavi Davos, Switzerland, ways help send coronavirus vaccines medicines Pyongyang silent. Na told The Associated Press Tuesday World Economic Forum meeting worry North Korea doesnt open, frankly. Before acknowledging outbreak omicron variant May 12, North Korea insisted virusfree COVID19 pandemic. It snubbed millions vaccines offered U.N.backed COVAX distribution program responded offers medicine aid South Korea U.S. Gavi, runs COVAX partners, said received requests COVID19 vaccines North Korea, allocated doses country. The World Health Organization pleaded information outbreak gotten response. ___ Leaders European nations head NATO agreed bolstering weapons systems arming Ukraine critical Russia attacks neighbor. Speaking securing Europe panel Tuesday World Economic Forums meeting Davos, Dutch Defense Minister Kajsa Ollongren says European Union join forces provide complex systems Ukraine needs. Belgian Prime Minister Alexander De Croo says needs coordination deciding weapons systems 27nation bloc needs longterm security goal. Ollongren agreed. North Macedonia President Stevo Pendarovski says joint weapons procurement important long term critically important help Ukraine now. NATO SecretaryGeneral Jens Stoltenberg says strongest way support Ukraine providing weapons, allies unprecedented levels Ukraine requested. He reiterated support Ukraine, NATO conflict. Opening session video link, Andriy Yermak, head presidential administration Ukraine, said, You dont need wage war, help it. He proposed international advisory working group offer security guarantees Ukraine, including providing weapons, funding rebuilding defense, maintaining sanctions Russia joining EU soon possible. ___ European Commission President Ursula von der Leyen accused Russia deliberately bombarding grain warehouses Ukraine food supplies weapon. Russias invasion Ukraine created disruptions global food supplies, countries worlds biggest exporters wheat, barley sunflower oil. The blockade Ukrainian ports particularly harmful, EU saying sea shipments accounted 90 grain oilseed exports war. Speaking World Economic Forum Davos, head EUs executive arm said 20 million tons wheat struck Ukraine. Von der Leyen says exports typically 5 million tons wheat month, 200,000 1 million tons. She says getting out, provide Ukrainians needed revenues, World Food Program supplies badly needs. The European Commission proposed helping Ukraine export wheat grains rail, road river Russian blockade Black Sea ports. Von der Leyen said fragile countries vulnerable populations suffer most, bread prices Lebanon increased 70 food shipments Odesa prevented reaching Somalia. Plus, says Russia hoarding food exports form blackmail holding supplies increase global prices, trading wheat exchange political support. This hunger grain wield power. Von der Leyen added EU stepping production ease pressure global food market supporting Africa dependent imports. ___ NATO SecretaryGeneral Jens Stoltenberg says war Ukraine providing proof business authoritarians Russia China poses risks Western security. Stoltenberg says free trade brought lot prosperity wealth comes price trade, economic interaction authoritarian regimes undermining security. Speaking Tuesday World Economic Forum Davos, Stoltenberg said idea Europe buy gas Russia want, thats wrong. Its dangerous. It provides Russia tool intimidate use clearly demonstrated now. He warns overreliance commodities advanced technologies allowing foreign control national infrastructure like 5G networks. Stoltenberg says, This Russia. But China. Another authoritarian regime share values. And undermines rulesbased international order. ___ Polish President Andrzej Duda says sees possibility neighboring Ukraine accept peace terms dictated Russia consent territory Russia. Duda spoke Tuesday geopolitical outlook panel annual World Economic Forum meeting Davos. He says mere drive revenge regain whats powerful I dont believe Ukrainians agree peace terms boil Russians taking kilometers Ukrainian land. He says Russians destroyed Ukraine Ukrainians spilled blood defending country politician Ukraine suggest bending Russias demands simply finished. Duda says politician West believes persuade Kyiv accept Moscows terms deeply mistaken. Poland supporting Ukraine fight Russia political defense means, accepted 3 million refugees fleeing war. ___ U.S. climate envoy John Kerry says World Economic Forums annual gathering Davos Russias war Ukraine shouldnt deter climate goals. Speaking news conference Tuesday speeding road net zero, Kerry says allow false narrative created war obviates need forward address climate crisis. He says possible meet need increased energy fossil fuels short term, particularly Europe, stay course reduce emissions coming years. Meanwhile, head U.N. Framework Convention Climate Change says climate change summit Egypt November pivotal moment planet. Patricia Espinosa Cantellano says negotiations implementation starting investment better future all. She says governments need assess attract right investments energy transition. ___ Spanish Prime Minister Pedro Snchez says believes Sweden Finland succeed joining NATO despite Turkeys objections membership. In address Tuesday World Economic Forum Davos, Snchez says political allies welcome countries. He said Spain accelerate parliamentary processes Nordic nations important NATO European Union stability. Turkey objected sees Finlands Swedens support groups considers terrorists block arms sales. On RussiaUkraine war, Snchez said imperative effort restore food productions, trade systems achieve food security vulnerable. U.S. Secretary State Antony Blinken recently accused Russia weaponizing food holding hostage grain Ukraine produces millions people world. U.N. food chief David Beasley warned war created unprecedented crisis escalating food prices sparking protests riots growing hunger. ___ Finlands foreign minister said annual World Economic Forum meeting Davos delegation country Sweden travel Turkish capital amid pushback Turkey Nordic nations application join NATO. Finnish Foreign Minister Pekka Haavisto said Tuesday geopolitical outlook panel representatives head Turkey Wednesday talks. Turkish Foreign Minister Mevlut Cavusoglu confirmed negotiations. Turkey objecting Swedens Finlands historic bid join military alliance, citing perceived support Kurdistan Workers Party, PKK, groups Turkey considers terrorists. Turkey points arms exports restrictions it. Haavisto says understands Turkey security concerns terrorism Finland good answers fight terrorism. So, think issue settled. NATO SecretaryGeneral Jens Stoltenberg said Davos NATO sit address concerns allies express concerns. He says hes confident group able solve issues agree welcome Finland Sweden fullfledged members alliance. ___ Speakers migration panel World Economic Forum gathering European Unions response arrival millions Ukrainian refugees stellar example solidarity. But served reminder need overhaul blocs migration policy. European Union Commission Vice President Margaritis Schinas said Tuesday Davos Europe best. The exodus 6 million Ukrainian refugees, mainly women children, prompted EU activate emergency protection time creation 2001, facilitating access jobs, housing, education health care EU Ukrainians. Negotiations new migration asylum policy EU proposed 2020 stalled member states disagree responsibility migrants asylumseekers arriving shores land borders irregularly. Schinas urged EU states face reality reach consensus. Moldovan Prime Minister Natalia Gavrilita says shes proud small countrys reaction refugee crisis. It seen halfamillion refugees crossing Ukraine war began. She says Moldova facilitated entry expired passports, allowed bring pets hosting displaced Ukrainians homes. But warned longterm help needed Moldova cope. ___ Kremlin critic Bill Browder wants governments step efforts riches squirreled away Russian oligarchs linked President Vladimir Putin forcing accountants, lawyers set murky legal financial structures whistleblowers. Browder, author nonfiction bestseller Freezing Order: A True Story Money Laundering, Murder Surviving Vladimir Putins Wrath, says Russias war Ukraine raised focus oligarchs custodians Russian leaders wealth. He told The Associated Press Tuesday annual World Economic Forum meeting Davos oligarchs nave. He says lawyers, asset protection specialists shell companies. The founder Heritage Capital, early investor postSoviet Russia, Browder raised alarm Russian tax adviser Sergei Magnitsky died Russian prison 2009. Browder credited U.S. efforts squeeze Kremlin war began, putting freeze assets Russias central bank, chasing oligarchs, halting exports technology Russia supplying weapons Ukraine. But comes getting Russian oligarchs money, Browder says scratching surface. Citing radical solution, Browder says solve problem force people set structures, enablers, lawyers, accountants, trustees law whistleblowers government. He says amendment money laundering sanctions laws come fines imprisonment. ___ The European Unions official said 27nation bloc avoid dependent untrustworthy countries, like fossil fuels Russia, moves greener economy need crucial raw materials. Speaking Tuesday World Economic Forums annual gathering Davos, European Commission Ursula von der Leyen said economies future longer rely oil coal. She says green digital transitions increase need materials like lithium silicon metal required batteries, chips, electric vehicles wind turbines. The head EUs executive arm says rely handful producers world. So, avoid falling trap oil gas. Von der Leyen said EU secured materials partnerships countries like Canada. She added war Ukraine strengthened Europes determination quickly rid Russian fossil fuels. EU countries approved embargo coal Russia deal sanctions targeting oil. ___ The head European Unions executive arm says Russias war Ukraine end strategic failure invading country pledged Tuesday bloc continue invest massively support wartorn nation. In addition economic sanctions imposed Russia military aid provided Ukraine, European Commission President Ursula von der Leyen said 27nation EU proposed 10 billion euros macrofinancial assistance, largest package offered country. She said World Economic Forums annual gathering EU mobilizing economic power will, hand hand, help Ukraine rise ashes. Von der Leyen added reconstruction efforts aim modernize Ukraines administration. It required country wants join 27nation bloc future. She says reforms firmly establish rule law independence Ukraines judiciary help tackle corruption. ___ The World Economic Forums annual gathering resuming second day, business leaders, government officials, representatives global institutions journalists gearing panel talks networking exclusive meeting Swiss Alps. Tuesdays agenda Davos packed sessions meetings key themes climate change. U.S. climate envoy John Kerry appearance. There addresses Spanish Prime Minister Pedro Sanchez, European Commission President Ursula von der Leyen NATO SecretaryGeneral Jens Stoltenberg. Meanwhile, outside conference venue, Ukrainian activist planning street performance urge foreign energy companies stop business Russia. Later, billionaire financier George Soros hosting dinner media nonofficial forum event fixture outside Davos meeting. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2022 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Top Stories WATCH: Aggravated robbery caught cam, Crime Stoppers Attorney paying excasino mogul Steve Wynn defamation School shootings spiking 2020s: A statebystate Officials react deadliest grade school shooting Discussing lifealtering situations, like Uvalde Top Stories More Stories WATCH: Aggravated robbery caught cam, Crime Stoppers Attorney paying excasino mogul Steve Wynn defamation School shootings spiking 2020s: A statebystate Officials react deadliest grade school shooting Discussing lifealtering situations, like Uvalde Mountain snow showers Tuesday night, hot, dry UCLA pay record nearly 700M doctor abuse Lawsuit accuses 3 automakers parts maker air More Stories FOX31 Denver Video Colorado milk bank donors, requests, rise sharply 12 mins ago School safety leader gives insight shooting 15 mins ago Mountain snow showers ahead Tuesday night 32 mins ago Denver police chief talks airport auto thefts 47 mins ago Police search heroes stopped abduction 49 mins ago Polis issues statement Texas school shooting 1 hour ago Biden speak Uvalde, Texas school shooting 1 hour ago FBI: Colorado high share public shootings 1 hour ago 14 kids, teacher killed Texas school shooting 1 hour ago Jeffco uses grant money protect homes wildfires 1 hour ago Boulder PD finds drugs, toddlers car 5 hours ago Police search heroes stopped abduction 6 hours ago More Videos More FOX31 Denver Mountain snow showers Tuesday night, hot, dry UCLA pay record nearly 700M doctor abuse Lawsuit accuses 3 automakers parts maker air Sheneen McClain invited White House Gas wells leak explosive levels methane Bakersfield How avoid common hiking risks dogs Ford pays 19M settle claims fuel economy, Slumping technology stocks pull Wall Street lower More FOX31 Denver The Prime Minister Spain Pedro Sanchez, second left, arrives World Economic Forum Davos, Switzerland, Tuesday, May 24, 2022. The annual meeting Read More The Prime Minister Spain Pedro Sanchez, second left, arrives World Economic Forum Davos, Switzerland, Tuesday, May 24, 2022. The annual meeting World Economic Forum taking place Davos May 22 May 26, 2022. AP PhotoMarkus SchreiberRead Less Denver, Colorado news, weather, sports News App Get iOS app Get Android app Google Play Weather App Get iOS Weather app Get Android Weather app Google Play News Weather Denver Traffic Sports TV Schedules Send Photos Videos NewsNation Now Us KDVR Online Public File KWGNTV Online Public File KDVR Childrens TV Programming KWGNTV Childrens TV Programming KDVRKFCTKWGNTV EEO Report Terms Of Use Covers Best Reviews Do Not Sell My Personal Information FCC Applications Public File Assistance 1998 2022 Nexstar Media . . Close Ad | 2,022 | [
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https://kdvr.com/news/politics/washington-dc-bureau/washington-tackles-potential-risks-of-ai/ | 2023-07-12T00:00:00 | en | Washington tackles potential risks of AI | FOX31 Denver |
Washington tackles potential risks of AI | FOX31 Denver
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Washington DC Bureau
Washington tackles potential risks of AI
by: Raquel Martin
Posted: Jul 12, 2023 / 03:18 PM MDT
Updated: Jul 12, 2023 / 03:28 PM MDT
by: Raquel Martin
Posted: Jul 12, 2023 / 03:18 PM MDT
Updated: Jul 12, 2023 / 03:28 PM MDT
WASHINGTON (NEXSTAR) — Vice President Kamala Harris convened civil rights leaders and consumer advocates at the White House Wednesday to ensure AI tools don’t deepen inequality.
“This is technology that is rapidly developing,” she said.
Harris said it is important to establish protections “knowing that certain people will be targeted based on their socioeconomic status, based on their race, based on their disability.”
According to Harris, there is an urgent need to tackle AI’s risks.
Senators from both sides stressed the same thing following a classified AI briefing Tuesday.
“We have to look into open AI versus competitive AI,” said Sen. Chuck Schumer, D-N.Y. “We have to look into how you protect intellectual property. We have to look into how our political system doesn’t get poisoned.”
Schumer, the Senate majority leader, said to get ahead of adversaries like China, Congress must act in a matter of months.
“It’s probably one of the hardest tasks Congress has faced but probably one of the very most important,” Schumer said. “And we can’t run away from it.”
Arati Prabhakar, the president’s science advisor, said all of AI’s risks matter.
“We are not going to just cherry-pick which risks matter,” Prabhakar said.
But Sen. Josh Hawley, R-Mo., said protecting Americans’ personal data is a good start.
“It shouldn’t be that your credit card history and that your browsing history, your purchases online — none of that stuff should be used as part of generative AI,” Hawley said.
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Washington DC Bureau Washington tackles potential risks AI by: Raquel Martin Posted: Jul 12, 2023 03:18 PM MDT Updated: Jul 12, 2023 03:28 PM MDT by: Raquel Martin Posted: Jul 12, 2023 03:18 PM MDT Updated: Jul 12, 2023 03:28 PM MDT WASHINGTON NEXSTAR Vice President Kamala Harris convened civil rights leaders consumer advocates White House Wednesday ensure AI tools dont deepen inequality. This technology rapidly developing, said. Harris said important establish protections knowing certain people targeted based socioeconomic status, based race, based disability. According Harris, urgent need tackle AIs risks. Senators sides stressed thing following classified AI briefing Tuesday. We look open AI versus competitive AI, said Sen. Chuck Schumer, DN.Y. We look protect intellectual property. We look political doesnt poisoned. Schumer, Senate majority leader, said ahead adversaries like China, Congress act matter months. Its probably hardest tasks Congress faced probably important, Schumer said. And run away it. Arati Prabhakar, presidents science advisor, said AIs risks matter. We going cherrypick risks matter, Prabhakar said. But Sen. Josh Hawley, RMo., said protecting Americans personal data good start. It shouldnt credit card history browsing history, purchases online stuff generative AI, Hawley said. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Read > Read > Next Read > Next story Cancel Read > Next story Cancel The 20 best robot vacuum Prime Day deals Day 2 Vacuums 30 mins ago Robot vacuums life easier. Take advantage steep discounts household essential Prime Day 2023. Dont sleep 90 Prime Day beauty deals Day Tools Accessories 54 mins ago Amazon slashing prices beauty products Prime Day. Find best deals now. 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https://kdvr.com/news/technology/ap-executives-urge-europe-to-rethink-its-world-leading-ai-rules/ | 2023-06-30T00:00:00 | en | Company executives urge Europe to rethink its world-leading AI rules | FOX31 Denver |
Company executives urge Europe to rethink its world-leading AI rules | FOX31 Denver
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FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. More than 150 executives are urging the European … Read More
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. More than 150 executives are urging the European Union to rethink the world’s most comprehensive rules for artificial intelligence. In an open letter to EU leaders Friday, June 30, 2023, the executives say the upcoming regulations will make it harder for companies in Europe to compete with rivals overseas, especially when it comes to the technology behind systems like ChatGPT. (AP Photo/Richard Drew, File)Read Less
Technology
Company executives urge Europe to rethink its world-leading AI rules
by: COURTNEY BONNELL, Associated Press
Posted: Jun 30, 2023 / 07:46 AM MDT
Updated: Jun 30, 2023 / 07:50 AM MDT
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. More than 150 executives are urging the European … Read More
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. More than 150 executives are urging the European Union to rethink the world’s most comprehensive rules for artificial intelligence. In an open letter to EU leaders Friday, June 30, 2023, the executives say the upcoming regulations will make it harder for companies in Europe to compete with rivals overseas, especially when it comes to the technology behind systems like ChatGPT. (AP Photo/Richard Drew, File) Read Less
by: COURTNEY BONNELL, Associated Press
Posted: Jun 30, 2023 / 07:46 AM MDT
Updated: Jun 30, 2023 / 07:50 AM MDT
LONDON (AP) — More than 150 executives are urging the European Union to rethink the world’s most comprehensive rules for artificial intelligence, saying Friday that upcoming regulations will make it harder for companies in Europe to compete with rivals overseas, especially when it comes to the technology behind systems like ChatGPT.
Officials at companies from French planemaker Airbus and carmaker Renault to Dutch beer giant Heineken signed an open letter to EU leaders saying the 27-nation bloc’s groundbreaking legislation may put shackles on the development of generative AI. That technology gives popular AI chatbots like ChatGPT the power to generate text, images, video and audio that resemble human work.
“Such regulation could lead to highly innovative companies moving their activities abroad ” and investors withdrawing their money from AI development in Europe, the letter said. “The result would be a critical productivity gap between the two sides of the Atlantic.”
The executives say laws requiring “rigid compliance” would be ineffective when so little is still known about the risks and uses of generative AI. They urged the EU to revise the AI Act to focus broadly on the risks.
With growing concerns about the impact of AI on all parts of life, the letter does acknowledge “a clear need to properly train these models and ensure their safe use.”
The corporate leaders called for a regulatory body of experts that can regularly adapt rules to new developments and respond to risks that emerge. They also pointed to the need for transatlantic standards.
It’s the latest letter to weigh in on the future of AI, which has dazzled users but raised concerns about data privacy, copyright infringement and disinformation. That has sent governments worldwide racing to rein in the technology.
There are also fears about more existential threats to humankind, which scientists and tech industry leaders, including high-level executives at Microsoft and Google, warned about last month.
Sam Altman, CEO of ChatGPT maker OpenAI, and Geoffrey Hinton, a computer scientist known as the godfather of AI, were among the hundreds of leading figures who signed that statement.
Missing was Yann LeCun, chief AI scientist of Meta and another AI pioneer, who signed the letter Friday from European executives.
The EU is still putting the finishing touches on its AI Act, and the rules are not expected to take effect for two years.
“I am convinced they have not read the text but have rather reacted on the stimulus of a few,” Dragos Tudorache, a Romanian member of the European Parliament who is co-leading the measure, said of the executives who signed the letter.
He noted that the letter’s “only concrete suggestions” are already part of the legislation, including “an industry-led process for defining standards, governance with industry at the table and a light regulatory regime that asks for transparency.”
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FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. More 150 executives urging European Read More FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. More 150 executives urging European Union rethink worlds comprehensive rules artificial intelligence. In open letter EU leaders Friday, June 30, 2023, executives upcoming regulations harder companies Europe compete rivals overseas, especially comes technology systems like ChatGPT. AP PhotoRichard Drew, FileRead Less Technology Company executives urge Europe rethink worldleading AI rules by: COURTNEY BONNELL, Associated Press Posted: Jun 30, 2023 07:46 AM MDT Updated: Jun 30, 2023 07:50 AM MDT FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. More 150 executives urging European Read More FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. More 150 executives urging European Union rethink worlds comprehensive rules artificial intelligence. In open letter EU leaders Friday, June 30, 2023, executives upcoming regulations harder companies Europe compete rivals overseas, especially comes technology systems like ChatGPT. AP PhotoRichard Drew, File Read Less by: COURTNEY BONNELL, Associated Press Posted: Jun 30, 2023 07:46 AM MDT Updated: Jun 30, 2023 07:50 AM MDT LONDON AP More 150 executives urging European Union rethink worlds comprehensive rules artificial intelligence, saying Friday upcoming regulations harder companies Europe compete rivals overseas, especially comes technology systems like ChatGPT. Officials companies French planemaker Airbus carmaker Renault Dutch beer giant Heineken signed open letter EU leaders saying 27nation blocs groundbreaking legislation shackles development generative AI. That technology gives popular AI chatbots like ChatGPT power generate text, images, video audio resemble human work. Such regulation lead highly innovative companies moving activities abroad investors withdrawing money AI development Europe, letter said. The result critical productivity gap sides Atlantic. The executives laws requiring rigid compliance ineffective little known risks uses generative AI. They urged EU revise AI Act focus broadly risks. With growing concerns impact AI parts life, letter acknowledge clear need properly train models ensure safe use. The corporate leaders called regulatory body experts regularly adapt rules new developments respond risks emerge. They pointed need transatlantic standards. Its latest letter weigh future AI, dazzled users raised concerns data privacy, copyright infringement disinformation. That sent governments worldwide racing rein technology. There fears existential threats humankind, scientists tech industry leaders, including highlevel executives Microsoft Google, warned month. Sam Altman, CEO ChatGPT maker OpenAI, Geoffrey Hinton, scientist known godfather AI, hundreds leading figures signed statement. Missing Yann LeCun, chief AI scientist Meta AI pioneer, signed letter Friday European executives. The EU putting finishing touches AI Act, rules expected effect years. I convinced read text reacted stimulus few, Dragos Tudorache, Romanian member European Parliament coleading measure, said executives signed letter. He noted letters concrete suggestions legislation, including industryled process defining standards, governance industry table light regulatory regime asks transparency. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 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More Stories FOX31 Denver Video Pedestrian dies crash I76 Friday 24 mins ago Parks Boulder closing early Thursday nights 1 hour ago Mosquito pool Boulder County tests positive 1 hour ago East boat ramp Cherry Creek State Park closed 1 hour ago Denver weather: More storm chances cooler 2 hours ago Denver weather: Storm chances July 4th weekend 9 hours ago Zipline guide protects child midair collision 9 hours ago Nuggets celebration costs Denver tens thousands 9 hours ago Former US attorney weighs Trump recordings 10 hours ago Colorado 2024 primary set Super Tuesday 10 hours ago 100M bond set man accused wifes murder 10 hours ago United passengers Denver wait days luggage 10 hours ago More Videos More FOX31 Denver Pedestrian dies I76 early Friday Hollywoods actors join writers strike. Vatican reports income boost charitable fund, Medical credit cards lead patients overpay Trump DeSantis 2024 GOP hopefuls South African president cleared wrongdoing The worlds tallest flagpole. A tiny Maine town. A week armed rebellion rattled Russia, key More FOX31 Denver Denver, Colorado news, weather, sports News Weather Denver Traffic Sports TV Schedules Send Photos Videos Us KDVR Online Public File KWGNTV Online Public File KFCT Online Public File KDVR Childrens TV Programming KWGNTV Childrens TV Programming KFCT Childrens TV Programming KDVRKFCTKWGNTV EEO Report FCC Applications Get News App Get iOS app Get Android app Google Play Get Weather App Get iOS Weather app Get Android Weather app Google Play Stay Connected Haystack Terms Of Use Covers Public File Assistance The Hill NewsNation BestReviews Content Licensing Nexstar Digital Journalistic Integrity Do Not Sell Share My Personal Information 1998 2023 Nexstar Media . . | 2,023 | [
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https://kesq.com/cnn-regional/2023/04/25/concerns-and-hopes-for-chatgpt-in-hawaii-schools/ | 2023-04-25T00:00:00 | en | Concerns and hopes for ChatGPT in Hawaii schools - KESQ |
Concerns and hopes for ChatGPT in Hawaii schools - KESQ
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CNN - Regional
By CNN Newsource
Published
April 25, 2023
4:58 AM
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Concerns and hopes for ChatGPT in Hawaii schools
By Paul Drewes
Click here for updates on this story
HONOLULU (KITV) — Wouldn’t it be great if there was technology to help you with some of life’s tedious tasks: like writing emails or searching the internet for information? Well there is. But some worry about this technology, ChatGPT, being misused in Hawaii schools.
Chaminade University Sophomore Noelani Tugaoen says she spends a lot of time writing.
“College is one of those places where you have to write a lot of papers. You have to learn to process info and put it down on paper,” Tugaoen said.
Which is why some students are interested in the language processing tool ChatGPT, which can write up what you ask for — in a matter of seconds. It is able to compress tons of information into an easily understandable report or compile research for you.
“All of that information is consolidated in one short list, instead of looking something up and going to multiple websites,” said Tugaoen.
Not only can it write up an essay or report, it can also write it in a particular style or for a certain grade level. Which raises plagiarism concerns, as some students could use ChatGPT to write essays or reports for them.
“This doesn’t change the paradigm, but it makes it more complex. ChatGPT is faster and sophisticated in the material it can produce. It can produce highly-customized text, that appear to be written by students,” saidd Chaminade University Provost Lance Askildson.
There are apps to detect AI generated writing. At Chaminade University, facility use other tools to deter plagiarism, including having students use their own life experience in their writing. Askildson says the use of ChatGPT is being explored on the campus.
“It is very exciting technology. The focus is how do we ensure students do their own work and there isn’t plagiarism. But the exciting part is the tool for research purposes and helping students to understand their own writing,” Askildson said.
At Iolani School, instead of discouraging students from using ChatGPT because of the temptation to cheat, use of the chatbot is being embraced and expanded beyond writing simple emails or essays.
“There are many more sophisticated things that can be done with computer programming, how to investigate research topics and Artificial Intelligence implementations for ChatGPT, that add an autonomous element to its use. We want to educate our students in how to do all these things. Instead of restricting our students, we want them to be super users of ChatGPT,” said Timothy Cottrell, Head of Iolani School.
In the fall, Iolani School plans to prepare students to take this technology with them into the workforce.
“We will likely have clubs and curricular ChatGPT. This is a disruptive technology, with a lot of different uses. We want our students to be empowered users of it and our facility to understand what its all about,” added Cottrell.
At Chaminade University, there are no policies prohibiting its use, and Askildson says there will be much more discussion over ChatGPT in the future.
Meanwhile, the Department of Education’s Communication Director Nanea Kalani issued this statement, “Hawaii schools and students can’t access ChatGPT on the Department’s network, so it’s not being used in classrooms right now.”
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| Concerns and hopes for ChatGPT in Hawaii schools | Concerns hopes ChatGPT Hawaii schools 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 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 Galleri Classic Scholar Athlete Week BNP Paribas Open 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 CNN US Politics National Politics 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 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 80 First Alert Forecast Prepare return triple digits KESQ Breaking News Email Alerts Get Breaking News Alerts CNN Regional By CNN Newsource Published April 25, 2023 4:58 AM Share FacebookShare Twitter Share Linkedin Concerns hopes ChatGPT Hawaii schools By Paul Drewes Click updates story HONOLULU KITV Wouldnt great technology help lifes tedious tasks: like writing emails searching internet information? Well is. But worry technology, ChatGPT, misused Hawaii schools. Chaminade University Sophomore Noelani Tugaoen says spends lot time writing. College places write lot papers. You learn process info paper, Tugaoen said. Which students interested language processing tool ChatGPT, write ask matter seconds. It able compress tons information easily understandable report compile research you. All information consolidated short list, instead looking going multiple websites, said Tugaoen. Not write essay report, write particular style certain grade level. Which raises plagiarism concerns, students use ChatGPT write essays reports them. This doesnt change paradigm, makes complex. ChatGPT faster sophisticated material produce. It produce highlycustomized text, appear written students, saidd Chaminade University Provost Lance Askildson. There apps detect AI generated writing. At Chaminade University, facility use tools deter plagiarism, including students use life experience writing. Askildson says use ChatGPT explored campus. It exciting technology. The focus ensure students work isnt plagiarism. But exciting tool research purposes helping students understand writing, Askildson said. At Iolani School, instead discouraging students ChatGPT temptation cheat, use chatbot embraced expanded writing simple emails essays. There sophisticated things programming, investigate research topics Artificial Intelligence implementations ChatGPT, add autonomous element use. We want educate students things. Instead restricting students, want super users ChatGPT, said Timothy Cottrell, Head Iolani School. In fall, Iolani School plans prepare students technology workforce. We likely clubs curricular ChatGPT. This disruptive technology, lot different uses. We want students empowered users facility understand about, added Cottrell. At Chaminade University, policies prohibiting use, Askildson says discussion ChatGPT future. Meanwhile, Department Educations Communication Director Nanea Kalani issued statement, Hawaii schools students access ChatGPT Departments network, classrooms right now. Please note: This content carries strict local market embargo. If share market contributor article, use platform. Article Topic Follows: CNN Regional 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 Troubled Waters: The Salton Sea Project Part 1 Paradise Lost 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/news/2023/03/17/baidu-stock-rebounds-after-falling-sharply-in-wake-of-chatgpt-style-bot-demo-2/ | 2023-03-17T00:00:00 | en | Baidu stock rebounds after falling sharply in wake of ChatGPT-style bot demo - KESQ |
Baidu stock rebounds after falling sharply in wake of ChatGPT-style bot demo - KESQ
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March 17, 2023
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Baidu stock rebounds after falling sharply in wake of ChatGPT-style bot demo
By Michelle Toh, CNN
Shares in Chinese search giant Baidu rebounded sharply a day after it unveiled ERNIE Bot, its answer to the ChatGPT craze.
Its stock soared 14.3% on Friday in Hong Kong, making it the biggest winner in the Hang Seng Index. They also gained 3.8% in New York during US trade Thursday.
A day earlier, Baidu was the biggest loser of the same index. Its Hong Kong shares fell 6.4% after a public demonstration of its bot failed to impress investors. Since February, more than 650 companies had joined the ERNIE ecosystem, CEO Robin Li said during the presentation.
The reversal came after the company said more than 30,000 businesses had signed up to test out its chatbot service within two hours of its demonstration.
“The high degree of enterprise interest is positive, and we expect Baidu to continue to capture China’s enterprise demand for generative AI,” Esme Pau, Macquarie’s head of China and Hong Kong internet and digital assets, told CNN.
She said the company’s shares were bouncing back Friday as some users, including analysts, shared positive feedback of their own experiences trying out ERNIE, which suggested the bot had more advanced capabilities.
High hopes
During the presentation, Baidu showed how its chatbot could generate a company newsletter, come up with a corporate slogan and solve a math riddle.
But its stock slumped on Thursday because the demo was “pre-recorded, and not live, which makes investors skeptical about the robustness of the ERNIE Bot,” according to Pau.
Baidu’s demonstration also came just days after the launch of GPT-4, which “raised the bar for ERNIE,” she added.
GPT-4 is the latest version of the artificial intelligence technology behind ChatGPT. The service has impressed users this week with its ability to simplify coding, rapidly create a website from a simple sketch and pass exams with high marks.
Pau noted that Baidu’s shares were already “down modestly” before showing off its software on Thursday, highlighting pressure from investors who had raised expectations following the GPT-4 launch.
“ERNIE also does not have the [same] multilingual capability as GPT-4, and has yet to improve for English queries,” she said. “Also, the ERNIE launch did not provide sufficient quantifiable metrics compared to the GPT-4 launch earlier this week.”
Like ChatGPT, ERNIE is based on a language model, which is trained on vast troves of data online in order to generate compelling responses to user prompts.
Li said Baidu’s expectations for ERNIE were “close to ChatGPT, or even GPT-4.”
But he acknowledged the software was “not perfect yet,” adding it was being launched first to enterprise users. The service is not yet available to the public.
Competition heating up
Baidu announced its chatbot last month. Some critics say the service will add fuel to an existing US-China rivalry in emerging technologies.
Li tried to shake off that comparison during the launch, saying the bot “is not a tool for the confrontation between China and the United States in science and technology, but a product of generations of Baidu technicians chasing the dream of changing the world with technology.”
“It is a brand new platform for us to serve hundreds of millions of users and empower thousands of industries,” he said.
Baidu says its service stands out because of its advanced grasp of Chinese queries, as well as its ability to generate different types of responses.
“ERNIE Bot can produce text, images, audio and video given a text prompt, and is even capable of delivering voice in several local dialects such as the Sichuan dialect,” the company said in a statement.
By comparison, GPT-4 is also able to analyze photos, but currently only generates text responses, according to its developer, OpenAI.
Baidu isn’t the only Chinese firm working on such technology. Last month, Alibaba announced plans to launch its own ChatGPT-style tool, adding to the list of tech giants jumping on the chatbot bandwagon.
So far, Baidu has a first mover advantage in the space in China, according to analysts.
“Our view is ERNIE is three to six months ahead of its potential contenders,” said Pau.
Baidu also announced a milestone in its transportation business on Friday, saying it is the first operator in Beijing to be allowed to provide fully driverless ride-hailing services in the city.
The company isn’t allowed to start charging passengers in the capital for the new service yet. Previously, it was required to keep a driver in the front passenger seat to take over in case of emergencies.
Baidu runs fully driverless commercial taxi services in the cities of Chongqing and Wuhan.
— CNN’s Mengchen Zhang contributed to this report.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
Article Topic Follows: News
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| Baidu stock rebounds after falling sharply in wake of ChatGPT-style bot demo | Baidu stock rebounds falling sharply wake ChatGPTstyle bot demo 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 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 BNP Paribas Open 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 CNN US Politics National Politics 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 Water Wise Eye Desert Coachella Valley Spotlight Now Hiring One Class Time Events Entertainment Healthy Pets Your Money Shop Desert Experts Gas Gauge Play Contests Birthday Wishes 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 61 First Alert Forecast Warmer drier moving weekend KESQ Breaking News Email Alerts Get Breaking News Alerts News By CNN Newsource Published March 17, 2023 12:46 AM Share FacebookShare Twitter Share Linkedin Baidu stock rebounds falling sharply wake ChatGPTstyle bot demo By Michelle Toh, CNN Shares Chinese search giant Baidu rebounded sharply day unveiled ERNIE Bot, answer ChatGPT craze. Its stock soared 14.3 Friday Hong Kong, making biggest winner Hang Seng Index. They gained 3.8 New York US trade Thursday. A day earlier, Baidu biggest loser index. Its Hong Kong shares fell 6.4 public demonstration bot failed impress investors. Since February, 650 companies joined ERNIE ecosystem, CEO Robin Li said presentation. The reversal came company said 30,000 businesses signed test chatbot service hours demonstration. The high degree enterprise positive, expect Baidu continue capture Chinas enterprise demand generative AI, Esme Pau, Macquaries head China Hong Kong internet digital assets, told CNN. She said companys shares bouncing Friday users, including analysts, shared positive feedback experiences trying ERNIE, suggested bot advanced capabilities. High hopes During presentation, Baidu showed chatbot generate company newsletter, come corporate slogan solve math riddle. But stock slumped Thursday demo prerecorded, live, makes investors skeptical robustness ERNIE Bot, according Pau. Baidus demonstration came days launch GPT4, raised bar ERNIE, added. GPT4 latest version artificial intelligence technology ChatGPT. The service impressed users week ability simplify coding, rapidly create website simple sketch pass exams high marks. Pau noted Baidus shares modestly showing software Thursday, highlighting pressure investors raised expectations following GPT4 launch. ERNIE [same] multilingual capability GPT4, improve English queries, said. Also, ERNIE launch provide sufficient quantifiable metrics compared GPT4 launch earlier week. Like ChatGPT, ERNIE based language model, trained vast troves data online order generate compelling responses user prompts. Li said Baidus expectations ERNIE close ChatGPT, GPT4. But acknowledged software perfect yet, adding launched enterprise users. The service available public. Competition heating Baidu announced chatbot month. Some critics service add fuel existing USChina rivalry emerging technologies. Li tried shake comparison launch, saying bot tool confrontation China United States science technology, product generations Baidu technicians chasing dream changing world technology. It brand new platform serve hundreds millions users empower thousands industries, said. Baidu says service stands advanced grasp Chinese queries, ability generate different types responses. ERNIE Bot produce text, images, audio video given text prompt, capable delivering voice local dialects Sichuan dialect, company said statement. By comparison, GPT4 able analyze photos, currently generates text responses, according developer, OpenAI. Baidu isnt Chinese firm working technology. Last month, Alibaba announced plans launch ChatGPTstyle tool, adding list tech giants jumping chatbot bandwagon. So far, Baidu mover advantage space China, according analysts. Our view ERNIE months ahead potential contenders, said Pau. Baidu announced milestone transportation business Friday, saying operator Beijing allowed provide fully driverless ridehailing services city. The company isnt allowed start charging passengers capital new service yet. Previously, required driver passenger seat case emergencies. Baidu runs fully driverless commercial taxi services cities Chongqing Wuhan. CNNs Mengchen Zhang contributed report. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: News 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 Troubled Waters: The Salton Sea Project Part 1 Paradise Lost 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 | 2,023 | [
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https://kesq.com/sports/ap-national-sports/2022/02/04/chinese-dissident-ai-voices-criticism-as-winter-games-open/ | 2022-02-04T00:00:00 | en | Chinese dissident Ai voices criticism as Winter Games open - KESQ |
Chinese dissident Ai voices criticism as Winter Games open - KESQ
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AP National Sports
By Associated Press
Published
February 4, 2022
10:15 AM
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Chinese dissident Ai voices criticism as Winter Games open
By JAMEY KEATEN
Associated Press
GENEVA (AP) — The dissident Chinese architect behind the Beijing stadium hosting Friday’s opening ceremony of the Winter Games has scoffed at the head of the U.N. health agency. He said China should award him “a gold medal” for not asking hard questions about its handling of the COVID-19 pandemic. Ai Weiwei, possibly China’s best-known dissident, aired criticism of Beijing’s human rights record and response to the pandemic, in an interview with The Associated Press Friday, in which he also took aim at World Health Organization Director-General Tedros Adhanom Ghebreyesus. Ai also accused governments of showing too much deference to China for business or political interests.
AP National Sports
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https://kfor.com/news/technology-news/ap-technology/how-europe-is-building-artificial-intelligence-guardrails/ | 2023-05-11T00:00:00 | en | How Europe is leading the world in building guardrails around AI | KFOR.com Oklahoma City |
How Europe is leading the world in building guardrails around AI | KFOR.com Oklahoma City
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FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. European lawmakers have rushed to add language… Read More
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. European lawmakers have rushed to add language on general artificial intelligence systems like ChatGPT as they put the finishing touches on the Western world’s first AI rules. (AP Photo/Richard Drew, File) Read Less
AP Technology
How Europe is leading the world in building guardrails around AI
by: KELVIN CHAN, Associated Press
Posted: May 11, 2023 / 06:04 AM CDT
Updated: May 11, 2023 / 06:05 AM CDT
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. European lawmakers have rushed to add language… Read More
FILE – Text from the ChatGPT page of the OpenAI website is shown in this photo, in New York, Feb. 2, 2023. European lawmakers have rushed to add language on general artificial intelligence systems like ChatGPT as they put the finishing touches on the Western world’s first AI rules. (AP Photo/Richard Drew, File) Read Less
by: KELVIN CHAN, Associated Press
Posted: May 11, 2023 / 06:04 AM CDT
Updated: May 11, 2023 / 06:05 AM CDT
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LONDON (AP) — Authorities around the world are racing to draw up rules for artificial intelligence, including in the European Union, where draft legislation faced a pivotal moment on Thursday.
A European Parliament committee voted to strengthen the flagship legislative proposal as it heads toward passage, part of a yearslong effort by Brussels to draw up guardrails for artificial intelligence. Those efforts have taken on more urgency as the rapid advances of chatbots like ChatGPT highlight benefits the emerging technology can bring — and the new perils it poses.
Here’s a look at the EU’s Artificial Intelligence Act:
HOW DO THE RULES WORK?
The AI Act, first proposed in 2021, will govern any product or service that uses an artificial intelligence system. The act will classify AI systems according to four levels of risk, from minimal to unacceptable. Riskier applications will face tougher requirements, including being more transparent and using accurate data. Think about it as a “risk management system for AI,” said Johann Laux, an expert at the Oxford Internet Institute.
WHAT ARE THE RISKS?
One of the EU’s main goals is to guard against any AI threats to health and safety and protect fundamental rights and values.
That means some AI uses are an absolute no-no, such as “social scoring” systems that judge people based on their behavior. AI that exploits vulnerable people including children or that uses subliminal manipulation that can result in harm, such as an interactive talking toy that encourages dangerous behavior, is also forbidden.
Lawmakers beefed up the proposal by voting to ban predictive policing tools, which crunch data to forecast where crimes will happen and who will commit them. They also approved a widened ban on remote facial recognition, save for a few law enforcement exceptions like preventing a specific terrorist threat. The technology scans passers-by and uses AI to match their faces to a database.
The aim is “to avoid a controlled society based on AI,” Brando Benifei, the Italian lawmaker helping lead the European Parliament’s AI efforts, told reporters Wednesday. “We think that these technologies could be used instead of the good also for the bad, and we consider the risks to be too high.”
AI systems used in high risk categories like employment and education, which would affect the course of a person’s life, face tough requirements such as being transparent with users and putting in place risk assessment and mitigation measures.
The EU’s executive arm says most AI systems, such as video games or spam filters, fall into the low- or no-risk category.
WHAT ABOUT CHATGPT?
The original 108-page proposal barely mentioned chatbots, merely requiring them to be labeled so users know they’re interacting with a machine. Negotiators later added provisions to cover general purpose AI like ChatGPT, subjecting them to some of the same requirements as high-risk systems.
One key addition is a requirement to thoroughly document any copyright material used to teach AI systems how to generate text, images, video or music that resembles human work. That would let content creators know if their blog posts, digital books, scientific articles or pop songs have been used to train algorithms that power systems like ChatGPT. Then they could decide whether their work has been copied and seek redress.
WHY ARE THE EU RULES SO IMPORTANT?
The European Union isn’t a big player in cutting-edge AI development. That role is taken by the U.S. and China. But Brussels often plays a trendsetting role with regulations that tend to become de facto global standards.
“Europeans are, globally speaking, fairly wealthy and there’s a lot of them,” so companies and organizations often decide that the sheer size of the bloc’s single market with 450 million consumers makes it easier to comply than develop different products for different regions, Laux said.
But it’s not just a matter of cracking down. By laying down common rules for AI, Brussels is also trying to develop the market by instilling confidence among users, Laux said.
“The thinking behind it is if you can induce people to to place trust in AI and in applications, they will also use it more,” Laux said. “And when they use it more, they will unlock the economic and social potential of AI.”
WHAT IF YOU BREAK THE RULES?
Violations will draw fines of up to 30 million euros ($33 million) or 6% of a company’s annual global revenue, which in the case of tech companies like Google and Microsoft could amount to billions.
WHAT’S NEXT?
It could be years before the rules fully take effect. European Union lawmakers are now due to vote on the draft legislation at a plenary session in mid-June. Then it moves into three-way negotiations involving the bloc’s 27 member states, the Parliament and the executive Commission, where it could face more changes as they wrangle over the details. Final approval is expected by the end of the year, or early 2024 at the latest, followed by a grace period for companies and organizations to adapt, often around two years.
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| How Europe is leading the world in building guardrails around AI | How Europe leading world building guardrails AI Oklahoma City Skip content Oklahoma City Oklahoma City 67 Sign Up Oklahoma City 67 Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. 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FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. European lawmakers rushed add language Read More FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. European lawmakers rushed add language general artificial intelligence systems like ChatGPT finishing touches Western worlds AI rules. AP PhotoRichard Drew, FileRead Less AP Technology How Europe leading world building guardrails AI by: KELVIN CHAN, Associated Press Posted: May 11, 2023 06:04 AM CDT Updated: May 11, 2023 06:05 AM CDT FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. European lawmakers rushed add language Read More FILE Text ChatGPT OpenAI website shown photo, New York, Feb. 2, 2023. European lawmakers rushed add language general artificial intelligence systems like ChatGPT finishing touches Western worlds AI rules. AP PhotoRichard Drew, File Read Less by: KELVIN CHAN, Associated Press Posted: May 11, 2023 06:04 AM CDT Updated: May 11, 2023 06:05 AM CDT SHARE LONDON AP Authorities world racing draw rules artificial intelligence, including European Union, draft legislation faced pivotal moment Thursday. A European Parliament committee voted strengthen flagship legislative proposal heads passage, yearslong effort Brussels draw guardrails artificial intelligence. Those efforts taken urgency rapid advances chatbots like ChatGPT highlight benefits emerging technology bring new perils poses. Heres look EUs Artificial Intelligence Act: HOW DO THE RULES WORK? The AI Act, proposed 2021, govern product service uses artificial intelligence system. The act classify AI systems according levels risk, minimal unacceptable. Riskier applications face tougher requirements, including transparent accurate data. Think risk management AI, said Johann Laux, expert Oxford Internet Institute. WHAT ARE THE RISKS? One EUs main goals guard AI threats health safety protect fundamental rights values. That means AI uses absolute nono, social scoring systems judge people based behavior. AI exploits vulnerable people including children uses subliminal manipulation result harm, interactive talking toy encourages dangerous behavior, forbidden. Lawmakers beefed proposal voting ban predictive policing tools, crunch data forecast crimes happen commit them. They approved widened ban remote facial recognition, save law enforcement exceptions like preventing specific terrorist threat. The technology scans passersby uses AI match faces database. The aim avoid controlled society based AI, Brando Benifei, Italian lawmaker helping lead European Parliaments AI efforts, told reporters Wednesday. We think technologies instead good bad, consider risks high. AI systems high risk categories like employment education, affect course persons life, face tough requirements transparent users putting place risk assessment mitigation measures. The EUs executive arm says AI systems, video games spam filters, fall low norisk category. WHAT ABOUT CHATGPT? The original 108 proposal barely mentioned chatbots, merely requiring labeled users know theyre interacting machine. Negotiators later added provisions cover general purpose AI like ChatGPT, subjecting requirements highrisk systems. One key addition requirement thoroughly document copyright material teach AI systems generate text, images, video music resembles human work. That let content creators know blog posts, digital books, scientific articles pop songs train algorithms power systems like ChatGPT. Then decide work copied seek redress. WHY ARE THE EU RULES SO IMPORTANT? The European Union isnt big player cuttingedge AI development. That role taken U.S. China. But Brussels plays trendsetting role regulations tend facto global standards. Europeans are, globally speaking, fairly wealthy theres lot them, companies organizations decide sheer size blocs single market 450 million consumers makes easier comply develop different products different regions, Laux said. But matter cracking down. By laying common rules AI, Brussels trying develop market instilling confidence users, Laux said. The thinking induce people place trust AI applications, use more, Laux said. And use more, unlock economic social potential AI. WHAT IF YOU BREAK THE RULES? Violations draw fines 30 million euros 33 million 6 companys annual global revenue, case tech companies like Google Microsoft billions. WHATS NEXT? It years rules fully effect. European Union lawmakers vote draft legislation plenary session midJune. Then moves threeway negotiations involving blocs 27 member states, Parliament executive Commission, face changes wrangle details. Final approval expected end year, early 2024 latest, followed grace period companies organizations adapt, years. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 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] | 1 | 2,081 |
https://ktvz.com/lifestyle/technology/cnn-social-media-technology/2023/01/26/chatgpt-passes-exams-from-law-and-business-schools-2/ | 2023-01-26T00:00:00 | en | ChatGPT passes exams from law and business schools - KTVZ |
ChatGPT passes exams from law and business schools - KTVZ
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CNN - Social Media/Technology
By CNN
Published
January 26, 2023
10:35 AM
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ChatGPT passes exams from law and business schools
CNN
By Samantha Murphy Kelly, CNN Business
ChatGPT is smart enough to pass prestigious graduate-level exams — though not with particularly high marks.
The powerful new AI chatbot tool recently passed law exams in four courses at the University of Minnesota and another exam at University of Pennsylvania’s Wharton School of Business, according to professors at the schools.
To test how well ChatGPT could generate answers on exams for the four courses, professors at the University of Minnesota Law School recently graded the tests blindly. After completing 95 multiple choice questions and 12 essay questions, the bot performed on average at the level of a C+ student, achieving a low but passing grade in all four courses.
ChatGPT fared better during a business management course exam at Wharton, where it earned a B to B- grade. In a paper detailing the performance, Christian Terwiesch, a Wharton business professor, said ChatGPT did “an amazing job” at answering basic operations management and process-analysis questions but struggled with more advanced prompts and made “surprising mistakes” with basic math.
“These mistakes can be massive in magnitude,” he wrote.
The test results come as a growing number of schools and teachers express concerns about the immediate impact of ChatGPT on students and their ability to cheat on assignments. Some educators are now moving with remarkable speed to rethink their assignments in response to ChatGPT, even as it remains unclear how widespread use is of the tool among students and how harmful it could really be to learning.
Since it was made available in late November, ChatGPT has been used to generate original essays, stories and song lyrics in response to user prompts. It has drafted research paper abstracts that fooled some scientists. Some CEOs have even used it to write emails or do accounting work.
ChatGPT is trained on vast amounts of online data in order to generate responses to user prompts. While it has gained traction among users, it has also raised some concerns, including about inaccuracies and its potential to perpetuate biases and spread misinformation.
Jon Choi, one of the University of Minnesota law professors, told CNN the goal of the tests was to explore ChatGPT’s potential to assist lawyers in their practice and to help students in exams, whether or not it’s permitted by their professors, because the questions often mimic the writing lawyers do in real life.
“ChatGPT struggled with the most classic components of law school exams, such as spotting potential legal issues and deep analysis applying legal rules to the facts of a case,” Choi said. “But ChatGPT could be very helpful at producing a first draft that a student could then refine.”
He argues human-AI collaboration is the most promising use case for ChatGPT and similar technology.
“My strong hunch is that AI assistants will become standard tools for lawyers in the near future, and law schools should prepare their students for that eventuality,” he said. “Of course, if law professors want to continue to test simple recall of legal rules and doctrines, they’ll need to put restrictions in place like banning the internet during exams to enforce that.”
Likewise, Wharton’s Terwiesch found the chatbot was “remarkably good” at modifying its answers in response to human hints, such as reworking answers after pointing out an error, suggesting the potential for people to work together with AI.
In the short-term, however, discomfort remains with whether and how students should use ChatGPT. Public schools in New York City and Seattle, for example, have already banned students and teachers from using ChatGPT on the district’s networks and devices.
Considering ChatGPT performed above average on his exam, Terwiesch told CNN he agrees restrictions should be put in place for students while they’re taking tests.
“Bans are needed,” he said. “After all, when you give a medical doctor a degree, you want them to know medicine, not how to use a bot. The same holds for other skill certification, including law and business.”
But Terwiesch believes this technology still ultimately has a place in the classroom. “If all we end up with is the same educational system as before, we have wasted an amazing opportunity that comes with ChatGPT,” he said.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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To test ChatGPT generate answers exams courses, professors University Minnesota Law School recently graded tests blindly. After completing 95 multiple choice questions 12 essay questions, bot performed average level C student, achieving low passing grade courses. ChatGPT fared better business management course exam Wharton, earned B B grade. In paper detailing performance, Christian Terwiesch, Wharton business professor, said ChatGPT amazing job answering basic operations management processanalysis questions struggled advanced prompts surprising mistakes basic math. These mistakes massive magnitude, wrote. The test results come growing number schools teachers express concerns immediate impact ChatGPT students ability cheat assignments. Some educators moving remarkable speed rethink assignments response ChatGPT, remains unclear widespread use tool students harmful learning. Since available late November, ChatGPT generate original essays, stories song lyrics response user prompts. It drafted research paper abstracts fooled scientists. Some CEOs write emails accounting work. ChatGPT trained vast amounts online data order generate responses user prompts. While gained traction users, raised concerns, including inaccuracies potential perpetuate biases spread misinformation. Jon Choi, University Minnesota law professors, told CNN goal tests explore ChatGPTs potential assist lawyers practice help students exams, permitted professors, questions mimic writing lawyers real life. ChatGPT struggled classic components law school exams, spotting potential legal issues deep analysis applying legal rules facts case, Choi said. But ChatGPT helpful producing draft student refine. He argues humanAI collaboration promising use case ChatGPT similar technology. My strong hunch AI assistants standard tools lawyers near future, law schools prepare students eventuality, said. Of course, law professors want continue test simple recall legal rules doctrines, theyll need restrictions place like banning internet exams enforce that. Likewise, Whartons Terwiesch chatbot remarkably good modifying answers response human hints, reworking answers pointing error, suggesting potential people work AI. In shortterm, however, discomfort remains students use ChatGPT. Public schools New York City Seattle, example, banned students teachers ChatGPT districts networks devices. Considering ChatGPT performed average exam, Terwiesch told CNN agrees restrictions place students theyre taking tests. Bans needed, said. After all, medical doctor degree, want know medicine, use bot. The holds skill certification, including law business. But Terwiesch believes technology ultimately place classroom. If end educational before, wasted amazing opportunity comes ChatGPT, said. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: CNN Social MediaTechnology CNN Related Articles Western US residents warned traveling winter storm expected bring feet snow ChatGPT passes exams law business schools Sunrise Birthdays Thursday, January 26 Earths inner core stopped turning reverse, study suggests BE PART OF THE CONVERSATION KTVZ NewsChannel 21 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. Community Guidelines KTVZTV FCC Public File FCC Applications Us Do Not Sell My Personal Information Email Newsletters Breaking News Severe Weather Daily News Updates Daily Weather Forecast Entertainment Contests Promotions Download Our Apps Available iOS Android 2023, NPG Oregon, . Bend, OR USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset | 2,023 | [
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https://ktvz.com/news/2023/01/17/getty-images-suing-the-makers-of-popular-ai-art-tool-for-allegedly-stealing-photos/ | 2023-01-17T00:00:00 | en | Getty Images suing the makers of popular AI art tool for allegedly stealing photos - KTVZ |
Getty Images suing the makers of popular AI art tool for allegedly stealing photos - KTVZ
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Getty Images suing the makers of popular AI art tool for allegedly stealing photos
By Jennifer Korn
Getty Images announced a lawsuit against Stability AI, the company behind popular AI art tool Stable Diffusion, alleging the tech company committed copyright infringement.
The stock image giant accused Stability AI of copying and processing millions of its images without obtaining the proper licensing, according to a press release issued Tuesday. London-based Stability AI announced it had raised $101 million in funding for open-source AI tech in October and released version 2.1 of its Stable Diffusion tool in December.
“Getty Images believes artificial intelligence has the potential to stimulate creative endeavors. Accordingly, Getty Images provided licenses to leading technology innovators for purposes related to training artificial intelligence systems in a manner that respects personal and intellectual property rights,” Getty wrote in the statement. “Stability AI did not seek any such license from Getty Images and instead, we believe, chose to ignore viable licensing options and long standing legal protections in pursuit of their stand-alone commercial interests.”
Getty declined to comment further on the suit to CNN, but said that it requested a response from the AI firm before taking action. Stability AI did not respond to CNN’s request for comment.
AI art and traditional media suppliers have struggled to coexist in recent months as computer-generated images grow more available and advanced, using human-created images and art as data training.
Once available only to a select group of tech insiders, text-to-image AI systems are becoming increasingly popular and powerful. These systems include Stable Diffusion and DALL-E, from OpenAI.
Shutterstock, a Getty Images competitor and fellow stock image platform, announced plans in October to expand its partnership with OpenAI, the company behind DALL-E and viral AI chat bot ChatGPT, and enhance AI-generated content while launching a fund to compensate artists for their contributions.
These tools, which typically offer some free credits before charging, can create all kinds of images with just a few words, including those that are clearly evocative of the works of many, many artists, if not seemingly created by them. Users can invoke those artists with words such as “in the style of” or “by” along with a specific name. Current uses for these tools can range from personal amusement and hobbies to more commercial cases.
In just months, millions of people have flocked to text-to-image AI systems which are already being used to create experimental films, magazine covers and images to illustrate news stories. An image generated with an AI system called Midjourney recently won an art competition at the Colorado State Fair, creating an uproar among artists, who are concerned that their art can be stolen by these systems without due credit.
“I don’t want to participate at all in the machine that’s going to cheapen what I do,” Daniel Danger, an illustrator and print maker who learned a number of his works were used to train Stable Diffusion, told CNN in October.
Stability AI founder and CEO Emad Mostaque told CNN Business in October via email that art is a tiny fraction of the LAION training data behind Stable Diffusion. “Art makes up much less than 0.1% of the dataset and is only created when deliberately called by the user,” he said.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
CNN’s Rachel Metz contributed to this report.
Article Topic Follows: News
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| Getty Images suing the makers of popular AI art tool for allegedly stealing photos | Getty Images suing makers popular AI art tool allegedly stealing photos KTVZ 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 Central Oregon OregonNorthwest USWorld COVID19 Fire Alert Crime Stoppers KTVZ.COM Polls Special Reports Weather Alerts Interactive Radar Local Forecast Snow Report Road Conditions Weather Webcams Decision 2022 Decision 2022 Plus: Oregon races measures maps Decision 2022 Plus: Balance Power, Congress Governor Sports Prep Scoreboard Basketball Videos Galleries Livestream Special Coverage Livestream Newscasts Local Videos Photo Galleries Community Les Schwab Toy Drive Clear The Shelters 21 Cares For Kids 21 Cares Our Community Community Billboard Community Links Lets Talk One Class At Time Pay Forward Life Now Hiring House Home Your Money Events Calendar Health Money Pets Pump Patrol Technology Shop Z21LocalLinks Play Contests Entertainment Pet Pics Sweepstakes Sunrise Birthdays Pay Forward Share Submit Tips, Pics Video Sunrise Birthdays Jobs KTVZ Careers Central Oregon Careers Email Newsletters Advertise NPG Oregon Careers Internships Us Closed Captioning Download Our Apps EEO Public Filing FCC Public File NewsChannel 21 Team OnAir Status Receiving KTVZ TV Listings Skip Content News Weather z21LocalLinks Community Life Shop Play Share Watch Bend 43 Video Forecast A Mild Tuesday Have Sparkling Day Central Oregon News By CNN Newsource Published January 17, 2023 11:48 AM Share FacebookShare Twitter Share Linkedin Getty Images suing makers popular AI art tool allegedly stealing photos By Jennifer Korn Getty Images announced lawsuit Stability AI, company popular AI art tool Stable Diffusion, alleging tech company committed copyright infringement. The stock image giant accused Stability AI copying processing millions images obtaining proper licensing, according press release issued Tuesday. Londonbased Stability AI announced raised 101 million funding opensource AI tech October released version 2.1 Stable Diffusion tool December. Getty Images believes artificial intelligence potential stimulate creative endeavors. Accordingly, Getty Images provided licenses leading technology innovators purposes related training artificial intelligence systems manner respects personal intellectual property rights, Getty wrote statement. Stability AI seek license Getty Images instead, believe, chose ignore viable licensing options long standing legal protections pursuit standalone commercial interests. Getty declined comment suit CNN, said requested response AI firm taking action. Stability AI respond CNNs request comment. AI art traditional media suppliers struggled coexist recent months computergenerated images grow available advanced, humancreated images art data training. Once available select group tech insiders, texttoimage AI systems increasingly popular powerful. These systems include Stable Diffusion DALLE, OpenAI. Shutterstock, Getty Images competitor fellow stock image platform, announced plans October expand partnership OpenAI, company DALLE viral AI chat bot ChatGPT, enhance AIgenerated content launching fund compensate artists contributions. These tools, typically offer free credits charging, create kinds images words, including clearly evocative works many, artists, seemingly created them. Users invoke artists words style specific name. Current uses tools range personal amusement hobbies commercial cases. In months, millions people flocked texttoimage AI systems create experimental films, magazine covers images illustrate news stories. An image generated AI called Midjourney recently art competition Colorado State Fair, creating uproar artists, concerned art stolen systems credit. I dont want participate machine thats going cheapen I do, Daniel Danger, illustrator print maker learned number works train Stable Diffusion, told CNN October. Stability AI founder CEO Emad Mostaque told CNN Business October email art tiny fraction LAION training data Stable Diffusion. Art makes 0.1 dataset created deliberately called user, said. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . CNNs Rachel Metz contributed report. Article Topic Follows: News CNN Newsource Related Articles Bend PD drugdetection K9 Ladybug retires impressive 4year tenure Foes voice criticism proposed Deschutes County landfill sites Millican Valley Health concerns arise gas stoves, possible link childhood asthma; C.O. sales? Eight people apply Redmond City Council vacancy BE PART OF THE CONVERSATION KTVZ NewsChannel 21 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. Community Guidelines KTVZTV FCC Public File FCC Applications Us Do Not Sell My Personal Information Email Newsletters Breaking News Severe Weather Daily News Updates Daily Weather Forecast Entertainment Contests Promotions Download Our Apps Available iOS Android 2023, NPG Oregon, . Bend, OR USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset | 2,023 | [
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https://ktvz.com/news/ap-national-news/2023/05/19/sean-penn-backing-wga-strike-says-ai-dispute-is-a-human-obscenity-at-cannes-film-festival/ | 2023-05-19T00:00:00 | en | Sean Penn, backing WGA strike, says AI dispute is 'a human obscenity' at Cannes Film Festival - KTVZ |
Sean Penn, backing WGA strike, says AI dispute is 'a human obscenity' at Cannes Film Festival - KTVZ
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Sean Penn, backing WGA strike, says AI dispute is ‘a human obscenity’ at Cannes Film Festival
KTVZ
By JAKE COYLE
AP Film Writer
CANNES, France (AP) — Sean Penn strongly backed the current Hollywood screenwriters strike while speaking at the Cannes Film Festival on Friday, saying the dispute over artificial intelligence is “a human obscenity.”
Penn addressed the ongoing Writers Guild of America strike in a press conference for his new film, “Black Flies,” director Jean-Stéphane Sauvaire’s harrowing, gritty drama about New York paramedics. Asked about the strike, Penn said “the industry has been upending the writers and actors and directors for a very long time.”
“There’s a lot of new concepts being tossed about including the use of AI It strikes me as a human obscenity for there to be pushback on that from the producers,” said Penn, a veteran writer-director in addition to being an actor.
Film and TV screenwriters earlier this month began striking after talks with producers broke off. The WGA is seeking better pay, new contracts for the streaming era and safeguards against the use of AI-scripted work-arounds.
“The first thing we should do in these conversations is change the Producers Guild and title them how they behave, which is the Bankers Guild,” added Penn. “It’s difficult for so many writers and so many people industry-wide to not be able to work at this time. I guess it’s going to soul-search itself and see what side toughs it out.”
After the press conference, Penn said in a statement that he meant to refer to the Alliance of Motion Picture and Television Producers (AMPTP), which is negotiating on behalf of producers, not the Producers Guild of America.
Penn’s comments come as the potential for a wider work stoppage in Hollywood may be growing. The Directors Guild is also negotiating a new contract with producers. The board of SAG-AFTRA, the actors union, this week voted to ask members for strike authorization as it prepares to enter negotiations for a new contract.
In Cannes, the strike been a regular topic for American stars, filmmakers and producers. On Thursday, Ethan Hawke wore a shirt that read “Pencils Down.” On the festival’s opening day Tuesday, juror Paul Dano said he planned to join his wife, Zoe Kazan, on the picket lines soon.
“My wife is currently picketing with my 6-month-old, strapped to her chest,” said Dano. “I will be there on the picket line when I get back home.”
At the press conference Friday for “Indiana Jones and the Dial of Destiny,” Lucasfilm chief Kathleen Kennedy, one of the top film producers, said “most people are in full support of the writers getting what they deserve.”
“The meta issue here is how that it’s being impacted by an industry that’s really changing, that is in the midst of change, both technologically and just basic aspects of how we work,” Kennedy said. “That’s going to take time. That’s what everyone is getting ready for.”
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| Sean Penn, backing WGA strike, says AI dispute is 'a human obscenity' at Cannes Film Festival | Sean Penn, backing WGA strike, says AI dispute human obscenity Cannes Film Festival KTVZ 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 Central Oregon OregonNorthwest USWorld COVID19 Fire Alert Crime Stoppers KTVZ.COM Polls Special Reports Ask Mayor Weather Alerts Interactive Radar Local Forecast Snow Report Road Conditions Weather Webcams Sports Prep Scoreboard Basketball Videos Galleries Livestream Newscasts Livestream Special Coverage Local Videos Photo Galleries Community 21 Cares For Kids Central Oregon Kids Community Billboard Community Links Lets Talk One Class At Time Pay Forward Salute To Seniors 2023 Lifestyle Now Hiring House Home Entertainment Events Calendar Health Money Pets Pump Patrol Technology Contests Contests Pet Pics Sweepstakes Sunrise Birthdays Pay Forward Share Submit Tips, Pics Video Sunrise Birthdays Jobs KTVZ Careers Now Hiring Central Oregon Careers Email Newsletters Advertise NPG Oregon Careers Internships Us Closed Captioning Download Our Apps EEO Public Filing FCC Public File NewsChannel 21 Team OnAir Status Receiving KTVZ TV Listings Skip Content News Weather Sports Community Contests Events Share Watch Bend 68 Video Forecast Beautiful Start; Thunderstorms Coming Have Sparkling Day Central Oregon Top Stories Lightning bolts rainbow 2 Your photos dramatic, stormy sunset skies C.O. OSP: Seven adults killed Interstate 5 crash north Albany involving car 2 semitrucks SUV driver taken hospital hitting BendLa Pine school bus 27th Street; 7 students, injuries Amber Alert issued 2yearold Nampa, Idaho boy allegedly taken noncustodial father Video Forecast Beautiful Start; Thunderstorms Coming Top Stories Lightning bolts rainbow 2 Your photos dramatic, stormy sunset skies C.O. OSP: Seven adults killed Interstate 5 crash north Albany involving car 2 semitrucks SUV driver taken hospital hitting BendLa Pine school bus 27th Street; 7 students, injuries Amber Alert issued 2yearold Nampa, Idaho boy allegedly taken noncustodial father City Club C.O. forum examines ways reduce homelessness, add affordable housing AP National News By Associated Press Published May 19, 2023 7:52 AM Share FacebookShare Twitter Share Linkedin Sean Penn, backing WGA strike, says AI dispute human obscenity Cannes Film Festival KTVZ By JAKE COYLE AP Film Writer CANNES, France AP Sean Penn strongly backed current Hollywood screenwriters strike speaking Cannes Film Festival Friday, saying dispute artificial intelligence human obscenity. Penn addressed ongoing Writers Guild America strike press conference new film, Black Flies, director JeanStphane Sauvaires harrowing, gritty drama New York paramedics. Asked strike, Penn said industry upending writers actors directors long time. Theres lot new concepts tossed including use AI It strikes human obscenity pushback producers, said Penn, veteran writerdirector addition actor. Film TV screenwriters earlier month began striking talks producers broke off. The WGA seeking better pay, new contracts streaming era safeguards use AIscripted workarounds. The thing conversations change Producers Guild title behave, Bankers Guild, added Penn. Its difficult writers people industrywide able work time. I guess going soulsearch toughs out. After press conference, Penn said statement meant refer Alliance Motion Picture Television Producers AMPTP, negotiating behalf producers, Producers Guild America. Penns comments come potential wider work stop Hollywood growing. The Directors Guild negotiating new contract producers. The board SAGAFTRA, actors union, week voted ask members strike authorization prepares enter negotiations new contract. In Cannes, strike regular topic American stars, filmmakers producers. On Thursday, Ethan Hawke wore shirt read Pencils Down. On festivals opening day Tuesday, juror Paul Dano said planned join wife, Zoe Kazan, picket lines soon. My wife currently picketing 6monthold, strapped chest, said Dano. I picket line I home. At press conference Friday Indiana Jones Dial Destiny, Lucasfilm chief Kathleen Kennedy, film producers, said people support writers getting deserve. The meta issue impacted industry thats changing, midst change, technologically basic aspects work, Kennedy said. Thats going time. Thats getting ready for. Article Topic Follows: AP National News Jump comments Associated Press Related Articles Police: Sacramento shooting gunfight gang rivals Major storm dumps snow, closes mountain routes California As Biden weighs Willow, blocks Alaska oil drilling NKorea confirms simulated use nukes wipe enemies BE PART OF THE CONVERSATION KTVZ NewsChannel 21 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. Community Guidelines KTVZTV FCC Public File FCC Applications Us Do Not Sell My Personal Information Email Newsletters Breaking News Severe Weather Daily News Updates Daily Weather Forecast Entertainment Contests Promotions Download Our Apps Available iOS Android 2023, NPG Oregon, . Bend, OR USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset | 2,023 | [
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https://kupui.com/news/2023/08/09/logon-police-recruit-ai-to-analyze-police-body-camera-footage.html | 2023-08-09T00:00:00 | en | LogOn: Police Recruit AI to Analyze Police Body-Camera Footage - КУПУЙ! |
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U.S. police reform advocates have long argued that police-worn body cameras will help reduce officers’ excessive use of force and work to build public trust. But the millions of hours of footage that so-called “body cams” generate are difficult for police supervisors to monitor. As Shelley Schlender explains, artificial intelligence may help.
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| LogOn: Police Recruit AI to Analyze Police Body-Camera Footage | LogOn: Police Recruit AI Analyze Police BodyCamera Footage LogOn: Police Recruit AI Analyze Police BodyCamera Footage Home LogOn: Police Recruit AI Analyze Police BodyCamera Footage 9 Aug LogOn: Police Recruit AI Analyze Police BodyCamera Footage By ITkupui No Comments , , U.S. police reform advocates long argued policeworn body cameras help reduce officers excessive use force work build public trust. But millions hours footage socalled body cams generate difficult police supervisors monitor. As Shelley Schlender explains, artificial intelligence help. Click share Telegram Opens new windowClick share Twitter Opens new windowClick share WhatsApp Opens new windowClick share Facebook Opens new windowClick share Skype Opens new window ads Zoom, Symbol Remote Work Revolution, Wants Workers Back Office Parttime : Cancel reply LogOn: Police Recruit AI Analyze Police BodyCamera Footage 09082023 Zoom, Symbol Remote Work Revolution, Wants Workers Back Office Parttime 08082023 US Tech Groups Back TikTok Challenge Montana State Ban 08082023 email email email Join 77 subscribers Privacy s: This site uses cookies. By continuing use website, agree use. To more, including control cookies, here: Policy 2023 dmnsa member sellines meneedit | 2,023 | [
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https://liliputing.com/2021/04/microsoft-is-spending-19-7-billion-to-acquire-nuance-an-ai-speech-recognition-company.html | 2021-04-12T00:00:00 | en | Microsoft is spending $19.7 billion to acquire Nuance, an AI & speech recognition company - Liliputing | Microsoft is spending $19.7 billion to acquire Nuance, an AI & speech recognition company - Liliputing Close Search for: Search ReviewsDealsHow To…Mini PCsLinux SmartphonesShopAboutAbout LiliputingContact usAdvertiseSupport LiliputingPrivacy Policy Close Skip to content LiliputingReviewsDealsHow To…Mini PCsLinux SmartphonesShopAboutAbout LiliputingContact usAdvertiseSupport LiliputingPrivacy Policy Open Search Search for: Search Menu Posted inNews Microsoft is spending $19.7 billion to acquire Nuance, an AI & speech recognition company by Brad LinderPosted on April 12, 2021 at 12:12 pm 1 Comment on Microsoft is spending $19.7 billion to acquire Nuance, an AI & speech recognition companyNuance, the company that makes the speech recognition software that powers Apple’s Siri voice assistant and the Dragon line of text-to-speech tools, is about to become a Microsoft subsidiary.Microsoft has agreed to pay $19.7 billion to acquire Nuance in a deal expected to be finalized later in 2021. Does this mean Microsoft is investing to shore up its Cortana voice assistant software? Probably not. While Cortana remains baked into Windows 10, Microsoft has killed off its Cortana apps for Android and iOS and ended support for the only smart speaker ever to work with the platform. Cortana isn’t exactly dead, but it also doesn’t seem to be all that important to Microsoft moving forward.That said, AI and speech recognition continue to be a growth area and Nuance is a big player in those areas not just in the consumer space, but also in enterprise and healthcare markets – Microsoft especially emphasizes the healthcare field in its announcement.Microsoft says it’ll use Nuance technologies to “augment” its existing Microsoft Cloud for Healthcare to expand the services the company can offer to healthcare customers and expand its market share in that space.But Microsoft ownership of Nuance also gives the company a leg up in some of the other areas where Nuance plays including virtual assistances, interactive voice response, and biometric security.Meanwhile, Nuance CEO Mark Benjamin notes that the two companies have been working closely together for the past 18 months and working together to expand into financial services, telecommunications, travel, retail, and government industries. The implication is that by joining Microsoft, both companies will be able to accelerate growth in those markets.The only time Microsoft has spent more money than this on an acquisition is when the company bought LinkedIn for $26 billion in 2016.Share this article:Share this:FacebookTwitterRedditPocketTumblrPinterestLinkedInEmail Support LiliputingLiliputing's primary sources of revenue are advertising and affiliate links (if you click the "Shop" button at the top of the page and buy something on Amazon, for example, we'll get a small commission).But there are several ways you can support the site directly even if you're using an ad blocker* and hate online shopping.Contribute to our Patreon campaign or...Contribute via PayPal * If you are using an ad blocker like uBlock Origin and seeing a pop-up message at the bottom of the screen, we have a guide that may help you disable it. Tagged: microosft, nuance, speech recognition Join the Conversation 1 Comment Cancel replyYour email address will not be published. Required fields are marked *CommentName * Email * Website Save my name, email, and website in this browser for the next time I comment. Notify me of follow-up comments by email. Notify me of new posts by email. This site uses Akismet to reduce spam. Learn how your comment data is processed. riddick says: 04/12/2021 at 1:09 PMIs this about patents? Nuance probably has some good engineers, a good code base and existing sales, but $20 billion seems like a lot for that. I guess Microsoft believes the it stock will not get diluted with the additional debt from the deal. Too big to fail I guess.Reply Search for: Search Follow Featured ArticlesOne Mix 4 mini-laptop review: 10 inch convertible with Intel Tiger Lake5 laptop docks that let you use a smartphone like a notebookGPD Win 3 Preview (handheld gaming PC with Intel Iris Xe graphics)Latest DealsDaily Deals (4-09-2021)Disclosure: Some links on this page may be monetized by Skimlinks and Amazon's and eBay's affiliate programs. 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| Microsoft is spending $19.7 billion to acquire Nuance, an AI & speech recognition company | Microsoft spending 19.7 billion acquire Nuance, AI speech recognition company Liliputing Close for: ReviewsDealsHow ToMini PCsLinux SmartphonesShopAboutAbout Liliputing usAdvertiseSupport Liliputing Close Skip content LiliputingReviewsDealsHow ToMini PCsLinux SmartphonesShopAboutAbout Liliputing usAdvertiseSupport Liliputing Open for: Menu Posted inNews Microsoft spending 19.7 billion acquire Nuance, AI speech recognition company Brad LinderPosted April 12, 2021 12:12 pm 1 Comment Microsoft spending 19.7 billion acquire Nuance, AI speech recognition companyNuance, company makes speech recognition software powers Apples Siri voice assistant Dragon line texttospeech tools, Microsoft subsidiary.Microsoft agreed pay 19.7 billion acquire Nuance deal expected finalized later 2021. Does mean Microsoft investing shore Cortana voice assistant software? Probably not. While Cortana remains baked Windows 10, Microsoft killed Cortana apps Android iOS ended support smart speaker work platform. Cortana isnt exactly dead, doesnt important Microsoft moving forward.That said, AI speech recognition continue growth area Nuance big player areas consumer space, enterprise healthcare markets Microsoft especially emphasizes healthcare field announcement.Microsoft says itll use Nuance technologies augment existing Microsoft Cloud Healthcare expand services company offer healthcare customers expand market share space.But Microsoft ownership Nuance gives company leg areas Nuance plays including virtual assistances, interactive voice response, biometric security.Meanwhile, Nuance CEO Mark Benjamin notes companies working closely past 18 months working expand financial services, telecommunications, travel, retail, government industries. The implication joining Microsoft, companies able accelerate growth markets.The time Microsoft spent money acquisition company bought LinkedIn 26 billion 2016.Share article:Share this:FacebookTwitterRedditPocketTumblrPinterestLinkedInEmail Support LiliputingLiliputings primary sources revenue advertising affiliate links click Shop button buy Amazon, example, small commission.But ways support site directly youre ad blocker hate online shopping.Contribute Patreon campaign or...Contribute PayPal If ad blocker like uBlock Origin seeing popup message screen, guide help disable it. Tagged: microosft,nuance,speech recognition Join Conversation 1 Comment Cancel replyYour email address published. Required fields marked CommentName Email Website Save name, email, website browser time I comment. Notify followup comments email. Notify new posts email. This site uses Akismet reduce spam. Learn comment data processed. riddick says: 04122021 1:09 PMIs patents? Nuance probably good engineers, good code base existing sales, 20 billion like lot that. I guess Microsoft believes stock diluted additional debt deal. Too big fail I guess.Reply for: Follow Featured ArticlesOne Mix 4 minilaptop review: 10 inch convertible Intel Tiger Lake5 laptop docks let use smartphone like notebookGPD Win 3 Preview handheld gaming PC Intel Iris Xe graphicsLatest DealsDaily Deals 4092021Disclosure: Some links monetized Skimlinks Amazons eBays affiliate programs. Recent PostsMicrosoft spending 19.7 billion acquire Nuance, AI speech recognition companyMINISFORUM GK50 fanless mini PC Intel Gemini Lake 299 upXupermask hightech 299 face mask Will.i.am Honeywell reasonRecent Commentsriddick Microsoft spending 19.7 billion acquire Nuance, AI speech recognition companyAnonymous MINISFORUM GK50 fanless mini PC Intel Gemini Lake 299 upGrant Russell MINISFORUM GK50 fanless mini PC Intel Gemini Lake 299 upsam khan Xupermask hightech 299 face mask Will.i.am Honeywell reasonAdamS Xupermask hightech 299 face mask Will.i.am Honeywell reason 2021 Liliputing. Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email. | 2,021 | [
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https://marketmirror24.com/2021/05/19/comprehensive-analysis-of-the-current-and-future-outlooks-of-artificial-intelligence-in-transportation-industry-continental-ag-germany-bosch-germany-microsoft-us-and-nvidia-us/ | 2021-05-19T00:00:00 | en | Comprehensive Analysis of the Current and Future Outlooks of Artificial Intelligence in Transportation Industry | Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US) – Market Mirror |
Comprehensive Analysis of the Current and Future Outlooks of Artificial Intelligence in Transportation Industry | Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US) – Market Mirror
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Comprehensive Analysis of the Current and Future Outlooks of Artificial Intelligence in Transportation Industry | Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US)
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Comprehensive Analysis of the Current and Future Outlooks of Artificial Intelligence in Transportation Industry | Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US)
by Sameer Joshi
in Business
on May 19, 2021
0
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.
The report delivers all the market facts along with the market trends, correlating between the market forecast and market dynamics. In this report, the user can also get an in-depth analysis of the Artificial Intelligence in Transportation market on the basis of its type, application, solution, industry, organization size, deployment, and global regions. The report even covers the market dynamics including opportunities, trends, drivers, and restraint factors that are highly influencing the key market segments and its growth pattern.
Get PDF Sample Copy at https://www.premiummarketinsights.com/sample/TIP00003897
Key players in the market are identified through review of secondary sources such as industry whitepapers, annual reports, published reports by credible agencies, financial reports and published interviews of Key Opinion Leaders (KOLs) from leading companies. During the primary interviews, KOLs also suggested some producers that are included under the initial scope of the study. We further refined company profile section by adding suggested producers by KOLs. KOLs include Chief Executive Officer (CEO), general managers, vice presidents, sales directors, market executives, R&D directors, product managers, procurement managers, export managers etc. During the research process, all the major stakeholders across the value chain are contacted for conducting primary interviews.
The List of Companies
AB Volvo
2. Daimler AG.
3. Robert Bosch GmbH
4. NVIDIA Corporation
5. Intel Corporation
6. Microsoft
7. Aimotive
8. Third Space Auto Ltd.
9. MOMENTA
10. Xevo
The report provides a detailed overview of the artificial intelligence in transportation industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence in transportation market based on by offering, technology, application, and process. It also provides market size and forecast till 2027 for overall artificial intelligence in transportation 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 18 countries globally along with the current trend and opportunities prevailing in the region.
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.
Note: As per client requirement, cross-sectional analysis across all industries or specific geography or ‘country-based’ analysis can be provided as a part of paid customization. Please place your queries on https://www.premiummarketinsights.com/inquiry/TIP00003897
KEY BENEFITS FOR STAKEHOLDERS
This study comprises analytical depiction of the global Artificial Intelligence in Transportation market with current trends and future estimations to depict the imminent investment pockets.
The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
The current market is quantitatively analyzed from 2017 to 2027 to highlight the financial competency of the market.
Porter’s Five Forces analysis illustrates the potency of the buyers and suppliers.
Place Direct Purchase Order for Complete Report at https://www.premiummarketinsights.com/buy/TIP00003897
Contact Info:
Name: Sameer Joshi
Email: [email protected]
Organization: Premium Market Insights
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Premium Market Insights is a one-stop shop of market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers.
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| Comprehensive Analysis of the Current and Future Outlooks of Artificial Intelligence in Transportation Industry | Comprehensive Analysis Current Future Outlooks Artificial Intelligence Transportation Industry Continental AG Germany, Bosch Germany, Microsoft US, NVIDIA US 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: Comprehensive Analysis Current Future Outlooks Artificial Intelligence Transportation Industry Continental AG Germany, Bosch Germany, Microsoft US, NVIDIA US GIVE US A TRY Comprehensive Analysis Current Future Outlooks Artificial Intelligence Transportation Industry Continental AG Germany, Bosch Germany, Microsoft US, NVIDIA US Sameer Joshi Business May 19, 2021 0 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. The report delivers market facts market trends, correlating market forecast market dynamics. In report, user indepth analysis Artificial Intelligence Transportation market basis type, application, solution, industry, organization size, deployment, global regions. The report covers market dynamics including opportunities, trends, drivers, restraint factors highly influencing key market segments growth pattern. Get PDF Sample Copy Key players market identified review secondary sources industry whitepapers, annual reports, published reports credible agencies, financial reports published interviews Key Opinion Leaders KOLs leading companies. During primary interviews, KOLs suggested producers included initial scope study. We refined company profile section adding suggested producers KOLs. KOLs include Chief Executive Officer CEO, general managers, vice presidents, sales directors, market executives, RD directors, product managers, procurement managers, export managers etc. During research process, major stakeholders value chain contacted conducting primary interviews. The List Companies AB Volvo 2. Daimler AG. 3. Robert Bosch GmbH 4. NVIDIA Corporation 5. Intel Corporation 6. Microsoft 7. Aimotive 8. Third Space Auto Ltd. 9. MOMENTA 10. Xevo The report provides detailed overview artificial intelligence transportation industry including qualitative quantitative information. It provides overview forecast global artificial intelligence transportation market based offering, technology, application, process. It provides market size forecast till 2027 overall artificial intelligence transportation 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 18 countries globally current trend opportunities prevailing region. 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. Note: As client requirement, crosssectional analysis industries specific geography countrybased analysis provided paid customization. Please place queries KEY BENEFITS FOR STAKEHOLDERS This study comprises analytical depiction global Artificial Intelligence Transportation market current trends future estimations depict imminent investment pockets. The overall market potential determined understand profitable trends gain stronger coverage market. The report presents information related key drivers, restraints, opportunities detailed impact analysis. The current market quantitatively analyzed 2017 2027 highlight financial competency market. Porters Five Forces analysis illustrates potency buyers suppliers. Place Direct Purchase Order Complete Report 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. 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https://marketmirror24.com/2021/07/27/global-artificial-intelligence-market-overview-with-detailed-analysis-competitive-landscape-forecast-to-2026/ | 2021-07-27T00:00:00 | en | Global Artificial Intelligence Market Overview with Detailed Analysis, Competitive landscape Forecast to 2026 – Market Mirror |
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The New Report added to database “Global Artificial Intelligence Market Analysis & Forecast 2019-2026” by Centrum Market Research
Global Artificial Intelligence Market report provides pin-point analysis for changing competitive dynamics through comprehensive Estimation of the key market dynamics. In-Depth competition analysis of the major companies in the Artificial Intelligence market has also been provided in the report. On conducting thorough research on the history as well as current growth parameters of the Artificial Intelligence Market, growth prospects of the Artificial Intelligence market have been obtained with maximum particularity.
Download and Get Free Sample PDF File of Artificial Intelligence Industry: https://www.centrummarketresearch.com/reports/artificial-intelligence-market-cm0069/request-for-sample
This will help readers evaluate the long-term and the Artificial Intelligence short-term strategies, various product offerings, and recent developments in the Artificial Intelligence industry. The report features unique and salient factors that are likely to have a significant impact on the development of the Artificial Intelligence market during the forecast period 2019-2026.
Artificial Intelligence Market: Segmented by Manufacturers / Types / Applications / Regions.
Market Segment by Products/Types
Type 1
Type 2
Type 3
Type 4
Market Segment by Applications/End-Users
Application 1
Application 2
Application 3
Application 4
Market Segment by Regions
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)
Further, in the Artificial Intelligence Market research report, the following points are included along with an in-depth study of each point:
Production Analysis – Production of the Artificial Intelligence is analyzed with respect to different regions, types and applications. Here, price analysis of various Artificial Intelligence Market key players is also covered.
Sales and Revenue Analysis – Both, sales and revenue are studied for the different regions of the Artificial Intelligence Market. Another major aspect, price, which plays an important part in the revenue generation is also assessed in this section for the various regions.
Supply and Consumption – In continuation of sales, this section studies supply and consumption for the Artificial Intelligence Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this part.
Competitors – In this section, various Artificial Intelligence industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue
Other analyses – Apart from the information, trade and distribution analysis for the Artificial Intelligence Market, contact information of major manufacturers, suppliers and key consumers are also given. Also, SWOT analysis for new projects and feasibility analysis for new investment are included.
Enquire here get customization & check discount, please click: https://www.centrummarketresearch.com/reports/artificial-intelligence-market-cm0069/request-for-discount
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
Else place an Inquire before Purchase Artificial Intelligence Market @ https://www.centrummarketresearch.com/reports/artificial-intelligence-market-cm0069/inquiry-before-buying
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| Global Artificial Intelligence Market Overview with Detailed Analysis, Competitive landscape Forecast to 2026 | Global Artificial Intelligence Market Overview Detailed Analysis, Competitive landscape Forecast 2026 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: Global Artificial Intelligence Market Overview Detailed Analysis, Competitive landscape Forecast 2026 GIVE US A TRY Global Artificial Intelligence Market Overview Detailed Analysis, Competitive landscape Forecast 2026 [emailprotected] Technology July 27, 2021 0 The New Report added database Global Artificial Intelligence Market Analysis Forecast 20192026 Centrum Market Research Global Artificial IntelligenceMarket report provides pinpoint analysis changing competitive dynamics comprehensive Estimation key market dynamics. InDepth competition analysis major companies Artificial Intelligence market provided report. On conducting thorough research history current growth parameters Artificial Intelligence Market, growth prospects Artificial Intelligence market obtained maximum particularity. Download Get Free Sample PDF File Artificial Intelligence Industry: This help readers evaluate longterm Artificial Intelligence shortterm strategies, product offerings, recent developments Artificial Intelligence industry. The report features unique salient factors likely significant impact development Artificial Intelligence market forecast period 20192026. Artificial Intelligence Market: Segmented Manufacturers Types Applications Regions. Market Segment ProductsTypes Type 1 Type 2 Type 3 Type 4 Market Segment ApplicationsEndUsers Application 1 Application 2 Application 3 Application 4 Market Segment Regions 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 Further, Artificial Intelligence Market research report, following points included indepth study point: Production Analysis Production Artificial Intelligence analyzed respect different regions, types applications. Here, price analysis Artificial Intelligence Market key players covered. Sales Revenue Analysis Both, sales revenue studied different regions Artificial Intelligence Market. Another major aspect, price, plays important revenue generation assessed section regions. Supply Consumption In continuation sales, section studies supply consumption Artificial Intelligence Market. This sheds light gap supply consumption. Import export figures given part. Competitors In section, Artificial Intelligence industry leading players studied respect company profile, product portfolio, capacity, price, cost, revenue Other analyses Apart information, trade distribution analysis Artificial Intelligence Market, contact information major manufacturers, suppliers key consumers given. Also, SWOT analysis new projects feasibility analysis new investment included. Enquire customization check discount, click: Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forwardlooking 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 Else place Inquire Purchase Artificial Intelligence Market @ About Centrum Market Research Centrum Market Research publishes provides exhaustive range territorial global market research reports industries hitech, healthcare, pharmaceutical, consumer products, food beverages, aerospace defense, semiconductors, automotive, chemicals, materials few. Phone: 16465689980 US EMail: [emailprotected] Web: Follow on: Facebook: Twitter: LinkedIn: Post Views: 82 Tags: Artificial Intelligence, Artificial Intelligence Market, Artificial Intelligence Market Analysis, Artificial Intelligence Market Growth, Artificial Intelligence Market News Industry Outlook, Artificial Intelligence Market Report, Artificial Intelligence Market Trends, Global Artificial Intelligence Market Post navigation Previous: Previous post: Ready Mix Concrete Market Survey Trend Research Cemex, LafargeHolcim, HeidelbergCement, Buzzi Unicem, Votorantim, Votorantim, Siam CementNext: Next post: Global Specialty Food Ingredients Market Growth Opportunities, Industry Analysis, Geographic Segmentation Competitive Landscape Report 2026 Honest Version Recent Posts Global Betulanonaprenol Sales Market Report 2018 China Monocrystalline Silicon Market Research Report 2018 AsiaPacific Galactose Market Report 2018 Global Thermoplastic Acrylic Resins Market Research Report 2017 Global Silicone Gel Market Research Report 2017 Other Sources 2021 Market Mirror | 2,021 | [
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https://marketmirror24.com/2021/11/10/global-market-for-data-science-platform-to-offer-lucrative-growth-prospects-for-manufacturers/ | 2021-11-10T00:00:00 | en | Global Market for Data Science Platform to Offer Lucrative Growth Prospects for Manufacturers – Market Mirror |
Global Market for Data Science Platform to Offer Lucrative Growth Prospects for Manufacturers – Market Mirror
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Global Market for Data Science Platform to Offer Lucrative Growth Prospects for Manufacturers
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Global Market for Data Science Platform to Offer Lucrative Growth Prospects for Manufacturers
by [email protected]
in Business
on November 10, 2021
0
A recent report by Persistence Market Research on ‘Data Science Platform Market’ provides a detailed analysis on the industry size, revenue forecasts and geographical landscape pertaining to this business space. Additionally, the report highlights primary obstacles and latest growth trends accepted by key players that form a part of the competitive spectrum of this business.
Data science is an outset to combine statistics, data analysis, and their related techniques to understand and evaluate real phenomena with data. It provides methods and concepts drawn from many areas within the broad areas of mathematics, databases, information science, statistics and computer science in a specific way from the subdomains of machine learning, cluster analysis, data mining, and visualization. Data science is moving from the edge to the core of the business. Statistical reports do not satisfy the demands of data science clients. In addition, data science platform simplifies the use of interactive apps and application program interfaces to operationalize outcomes and authorize users.
Data science platform provides real-time data streaming and more advanced data pipelines which will support redefine big data into different categories such as actionable and fast data. A massive increase in data volume is the driving force for the data science platform. This movement of Data volume will continue to evolve shortly.
Request For Report [email protected]https://www.persistencemarketresearch.com/samples/14752
Data science platform aid to facilitate a high level of association across data scientists, business analysts, data engineers, and developers in different fields of business. Data Science platforms help the organizations to prepare data, build models and operationalize analytics.
Data Science Platform: Market Dynamics
The increasing demand for public cloud, adoption of artificial intelligence, the explosive growth of Internet of things (IoT) applications and machine learning, revolution and rise in demand of big data, etc. are the factor that are expected to drive the demand of data science platform market. Key IT Trends in enterprises are an adoption of big data technology, security, and governance, IT centralization, open standard, and libraries, etc. are adapted to data science platform to provide efficient enterprise solutions across various sectors.
The emergence of unified, multidisciplinary cloud-based development environments assist the data scientist to enhance data science skills, and collaborate the machine learning and analytics into the core business. Data science platforms are used as an approach in order to find concealed bits of knowledge from large measures of classified and unstructured information, utilizing techniques such as insights, machine learning, predictive analytics, and data mining. This area consists of different branches which help to identify changes in the way organizations solve the issues and gain competitive advantage. The growth of analytics apps and APIs which are accessed on browser and device is the recent trend in data service platform market.
Data explosion, lack of domain expertise and lack of analytical capabilities are few challenges in the data science platform market.
Data Science Platform: Market Segmentation
Based on the application data science platform market is segmented into healthcare and life science, automotive, manufacturing, banking, financial service and insurance (BFSI), information technology and telecommunications, media and entertainment, retail and consumer goods, energy and utilities, transportation and logistics and government. Based on business function, it is segmented into marketing, logistics, operations and Human resources. Data science platform market is segmented based on deployment type such as on premises and on-demand.
Segmentation Overview
Based on Application
Healthcare and life science
Information technology and telecommunication
Automotive
Manufacturing
BFSI
Media and entertainment
Retail and consumer goods
Energy and utilities
Transportation and logistics
Government
Based on deployment type
On-premises
Cloud-based
Based on Business function
Marketing
Logistics
Operations
Human Resources
Data Science Platform: Competition Landscape
Some of the prominent players offering the data science platform are Cloudera Inc., RapidMiner, Inc., Domino Data Lab, Inc., Kaggle Inc., Yhat Inc., Micropole S.A., Dataiku SAS, Continuum Analytics, Inc., C&F Insight technology solutions, Civis Analytics, Inc., and IBM Corporation.
Data Science Platform: Key Developments
In 2016, IBM Corporation launched IBM Watson Data Platform, a cloud-based data ingestion engine in order to enhance its data analytics platform.
Data Science Platform: Regional Outlook
Among various regions, the data science platform market in Latin America and Asia Pacific is expected to witness significant growth during the forecast period. This is due the growing demand for machine learning, big data, cloud applications, etc. across various end-use verticals.
The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data. It also includes projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geography, technology, and applications.
The report covers exhaustive analysis on:
Market Segments
Market Dynamics
Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies involved
Technology
Value Chain
Regional analysis includes
North America (Canada, U.S.)
Latin America (Mexico, Brazil, Rest Of Latin America )
Western Europe (Germany, Italy, France, U.K, Spain, Netherlands, BENELUX, Nordic countries )
Eastern Europe ( Russia, Rest Of Eastern Europe)
Asia-Pacific Excluding Japan(China, India, ASEAN, Australia & New Zealand)
Japan
Middle East and Africa (GCC countries, South Africa, North Africa and Rest Of MEA)
The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macroeconomic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.
Request For Report Table of Content (TOC)@https://www.persistencemarketresearch.com/toc/14752
Report Highlights:
Detailed overview of parent market
Changing market dynamics in the industry
In-depth market segmentation
Historical, current and projected market size regarding volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
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| Global Market for Data Science Platform to Offer Lucrative Growth Prospects for Manufacturers | Global Market Data Science Platform Offer Lucrative Growth Prospects Manufacturers 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: Global Market Data Science Platform Offer Lucrative Growth Prospects Manufacturers GIVE US A TRY Global Market Data Science Platform Offer Lucrative Growth Prospects Manufacturers [emailprotected] Business November 10, 2021 0 A recent report Persistence Market Research Data Science Platform Market provides detailed analysis industry size, revenue forecasts geographical landscape pertaining business space. Additionally, report highlights primary obstacles latest growth trends accepted key players form competitive spectrum business. Data science outset combine statistics, data analysis, related techniques understand evaluate real phenomena data. It provides methods concepts drawn areas broad areas ofmathematics,databases,information science, statistics andcomputer science specific way subdomains ofmachine learning, cluster analysis,data mining, andvisualization. Data science moving edge core business. Statistical reports satisfy demands data science clients. In addition, data science platform simplifies use interactive apps application program interfaces operationalize outcomes authorize users. Data science platform providesrealtimedata streaming advanced data pipelines support redefine big data different categories actionable fast data. A massive increase data volume driving force data science platform. This movement Data volume continue evolve shortly. Request For Report [emailprotected] Data science platform aid facilitate high level association data scientists, business analysts, data engineers, developers different fields business. Data Science platforms help organizations prepare data, build models operationalize analytics. Data Science Platform: Market Dynamics The increasing demand public cloud, adoption ofartificial intelligence, explosive growth Internet things IoT applications machine learning, revolution rise demand big data, etc. factor expected drive demand data science platform market. Key IT Trends enterprises adoption big data technology, security, governance, IT centralization, open standard, libraries, etc. adapted data science platform provide efficient enterprise solutions sectors. The emergence unified, multidisciplinary cloudbased development environmentsassist data scientist enhance data science skills, collaborate machine learning analytics core business. Data science platforms approach order concealed bits knowledge large measures classified unstructured information, utilizing techniques insights, machine learning, predictive analytics, data mining. This area consists different branches help identify changes way organizations solve issues gain competitive advantage. The growth analytics apps APIs accessed browser device recent trend data service platform market. Data explosion, lack domain expertise lack analytical capabilities challenges data science platform market. Data Science Platform: Market Segmentation Based application data science platform market segmented healthcare life science, automotive, manufacturing, banking, financial service insurance BFSI, information technology telecommunications, media entertainment, retail consumer goods, energy utilities, transportation logistics government. Based business function, segmented marketing, logistics, operations Human resources. Data science platform market segmented based deployment type premises ondemand. Segmentation Overview Based Application Healthcare life science Information technology telecommunication Automotive Manufacturing BFSI Media entertainment Retail consumer goods Energy utilities Transportation logistics Government Based deployment type Onpremises Cloudbased Based Business function Marketing Logistics Operations Human Resources Data Science Platform: Competition Landscape Some prominent players offering data science platform Cloudera ., RapidMiner, ., Domino Data Lab, ., Kaggle ., Yhat ., Micropole S.A., Dataiku SAS, Continuum Analytics, ., CF Insight technology solutions, Civis Analytics, ., IBM Corporation. Data Science Platform: Key Developments In 2016, IBM Corporation launched IBM Watson Data Platform, cloudbased data ingestion engine order enhance data analytics platform. Data Science Platform: Regional Outlook Among regions, data science platform market Latin America Asia Pacific expected witness significant growth forecast period. This growing demand machine learning, big data, cloud applications, etc. enduse verticals. The research report presents comprehensive assessment market contains thoughtful insights, facts, historical data, statistically supported industryvalidated market data. It includes projections suitable set assumptions methodologies. The research report provides analysis information according market segments geography, technology, applications. The report covers exhaustive analysis on: Market Segments Market Dynamics Market Size Supply Demand Current TrendsIssuesChallenges Competition Companies involved Technology Value Chain Regional analysis includes North America Canada, U.S. Latin America Mexico, Brazil, Rest Of Latin America Western Europe Germany, Italy, France, U.K, Spain, Netherlands, BENELUX, Nordic countries Eastern Europe Russia, Rest Of Eastern Europe AsiaPacific Excluding JapanChina, India, ASEAN, Australia New Zealand Japan Middle East Africa GCC countries, South Africa, North Africa Rest Of MEA The report compilation firsthand information, qualitative quantitative assessment industry analysts, inputs industry experts industry participants value chain. The report provides indepth analysis parent market trends, macroeconomic indicators governing factors market attractiveness segments. The report maps qualitative impact market factors market segments geographies. Request For Report Table Content TOC Report Highlights: Detailed overview parent market Changing market dynamics industry Indepth market segmentation Historical, current projected market size volume value Recent industry trends developments Competitive landscape Strategies key players products offered Potential niche segments, geographical regions exhibiting promising growth A neutral perspective market performance Musthave information market players sustain enhance market footprint Post Views: 63 Post navigation Previous: Previous post: Revenue Sales Data Governance rease Exponentially During 2017 2025Next: Next post: Latest Trends 3Dprints Prosthetics Market 20202025 Recent Posts Automotive Variable Geometry Turbocharger Market 2018: Global Analysis Key Players BorgWarner, Cummins, Honeywell, IHI Latest Market Research Analysis Technologies LongTerm Care Home Healthcare Industry 20202025 Stress Testing Market 2018: Global Analysis Key Players Capgemini, IBM, Accenture, Wipro, Tata Consultancy Services Global Managed Connectivity Solutions Market Witness Exponential Rise Revenue Share During Forecast Period 2017 2025 Adoption Emotional Intelligence Surge During Forecast Period Owing reased Consumer Demand Other SourcesRecombinant Glycosylated Protein Market Dynamics, Influencing Factors, Developments, reasing Scope, Specifications Overview 20212026U.S. Behavioral Health Market Size, Future Growth, Share, Supply, Demand, Segments Forecast 20212028 2021 Market Mirror | 2,021 | [
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https://marketmirror24.com/2021/12/04/asia-pacific-machine-learning-market-is-estimated-to-reach-at-a-cagr-51-3-forecast-during-2018-2023/ | 2021-12-05T00:00:00 | en | Asia-Pacific Machine Learning Market is estimated to reach at a CAGR 51.3% Forecast During 2018-2023 – Market Mirror |
Asia-Pacific Machine Learning Market is estimated to reach at a CAGR 51.3% Forecast During 2018-2023 – Market Mirror
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Asia-Pacific Machine Learning Market is estimated to reach at a CAGR 51.3% Forecast During 2018-2023
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Asia-Pacific Machine Learning Market is estimated to reach at a CAGR 51.3% Forecast During 2018-2023
by [email protected]
in Business
on December 4, 2021
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The value of the machine learning market in Asia-Pacific is expected to reach USD 10.00 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 51.3% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
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Asia-Pacific will experience the highest CAGR in the machine learning market.
The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into China, India, Japan, South Korea, Australia and New Zealand (ANZ), the rest of Asia-Pacific.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
Machine learning is no longer a novelty in Asia-Pacific countries. Business sectors having realised its potential are using machine learning technologies to draw maximum insights from the available data to increase the efficiency of operations.
Key growth factors
The enormous population base together with a diverse industry mix, which has the potential to generate a huge amount of data, is significantly driving the machine learning market in the Asia-Pacific countries.
The availability of a robust data set, the adoption of machine learning techniques in traditional industries and strengthening of the pipeline of cohorts with exceptional talent is driving the machine learning market in the Asia-Pacific region.
Threats and key players
Ethical issues and biased data leading to biased decisions are a matter of concern which restricts further development of the machine learning market.
The connectivity standards available in the Asia-pacific region still falls below the world’s average. The digital divide is widening the gap among the sub-regions in the Asia-Pacific zone at an alarming rate. This again is causing a hindrance to the development in the machine learning market in this region.
The key players are Microsoft, Google Inc., IBM Watson, Amazon, Baidu, Intel, Facebook, Apple Inc., and Uber.
What is covered in the report?
1. Overview of the machine learning market in Asia-Pacific region.
2. Market drivers and challenges in the machine learning market in Asia-Pacific region.
3. Market trends in the machine learning market in Asia-Pacific region.
4. Historical, current and forecasted market size data for the machine learning market in Asia-Pacific region.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (China, India, Japan, South Korea, Australia and New Zealand (ANZ), the rest of Asia-Pacific) market size data for machine learning market.
10. Analysis of the machine learning market in Asia-Pacific by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.
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Table of Contents:
Chapter 1: Executive summary
1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive summary
Chapter 2: Asia-Pacific machine learning market – market overview
2.1. Asia-Pacific market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD)
2.2. Asia-Pacific – market drivers and challenges
2.3. Value chain analysis – machine learning market
2.4. Porter’s five forces analysis
2.5. Market size- by components (software tools, cloud and web-based APIs and others)
2.5. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. Market size- by service (professional services and managed services)
2.6. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market size- by organization size (SMEs and large enterprises)
2.7. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. Market size- by application (BFSI, automotive, healthcare, government and others)
2.8. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 3: China machine learning market- market overview
3.1. Market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD)
3.2. China – market drivers and challenges
3.3. Market size- by components (software tools, cloud and web-based APIs and others)
3.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market size- by service (professional services and managed services)
3.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market size- by organization size (SMEs and large enterprises)
3.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. Market size- by application (BFSI, automotive, healthcare, government and others)
3.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 4: India machine learning market – market overview
4.1. Market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD)
4.2. India – market drivers and challenges
4.3. Market size- By components (software tools, cloud and web-based APIs and others)
4.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market size- by service (professional services and managed services)
4.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market size- by organization size (SMEs and large enterprises)
4.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. Market size- By application (BFSI, automotive, healthcare, government and others)
4.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 5: Japan machine learning market – market overview
5.1. Market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD)
5.2. Japan – market drivers and challenges
5.3. Market size- by components (software tools, cloud and web-based APIs and others)
5.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. Market size- by service (professional services and managed services)
5.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. Market size- by organization size ( SMEs and large enterprises)
5.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. Market size- by application (BFSI, automotive, healthcare, government and others)
5.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 6: South Korea machine learning market – market overview
6.1. Market overview- market trends, market attractiveness analysis, geography-wise
market revenue (USD)
6.2. South Korea- market drivers and challenges
6.3. Market size- by components (software tools, cloud and web-based APIs and others)
6.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. Market size- by service (professional services and managed services)
6.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. Market size- by organisation size (SMEs and large enterprises)
6.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. Market size- By application (BFSI, automotive, healthcare, government and others)
6.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
Chapter 7: ANZ machine learning market – market overview
7.1. Market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD)
7.2. ANZ – market drivers and challenges
7.3. Market size- by components (software tools, cloud and web-based APIs and others)
7.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. c. Revenue of Others – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. Market size- by service (professional services and managed services)
7.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. Market size- by organization size (SMEs and large enterprises)
7.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. Market size- by application (BFSI, automotive, healthcare, government and others)
7.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
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| Asia-Pacific Machine Learning Market is estimated to reach at a CAGR 51.3% Forecast During 2018-2023 | AsiaPacific Machine Learning Market estimated reach CAGR 51.3 Forecast During 20182023 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: AsiaPacific Machine Learning Market estimated reach CAGR 51.3 Forecast During 20182023 GIVE US A TRY AsiaPacific Machine Learning Market estimated reach CAGR 51.3 Forecast During 20182023 [emailprotected] Business December 4, 2021 0 The value themachine learning marketin AsiaPacific expected reach USD 10.00 Bn 2023, expanding compound annual growth rateCAGR 51.3during 20182023. Machine learning ability computers learn experiences improve performance. Separate algorithms human intervention required train computer. It merely learns past experiences examples. In recent times, market gained utmost importance increased availability data need process data obtain meaningful insights. Request [emailprotected] AsiaPacific experience highest CAGR machine learning market. The market classified primary segments based components, service, organization size application. Based region, market segmented China, India, Japan, South Korea, Australia New Zealand ANZ, rest AsiaPacific. Based components market segmented software tools, cloud webbased application programming interfaces APIs others. Based service, subsegments composed professional services managed services. Based organization size, subsegments include small medium enterprises SMEs large enterprises. Based application, market divided subsegments, banking, financial services insurance BFSI, automotive, healthcare, government others. Machine learning longer novelty AsiaPacific countries. Business sectors realised potential machine learning technologies draw maximum insights available data increase efficiency operations. Key growth factors The enormous population base diverse industry mix, potential generate huge data, significantly driving machine learning market AsiaPacific countries. The availability robust data set, adoption machine learning techniques traditional industries strengthening pipeline cohorts exceptional talent driving machine learning market AsiaPacific region. Threats key players Ethical issues biased data leading biased decisions matter concern restricts development machine learning market. The connectivity standards available Asiapacific region falls worlds average. The digital divide widening gap subregions AsiaPacific zone alarming rate. This causing hindrance development machine learning market region. The key players Microsoft, Google ., IBM Watson, Amazon, Baidu, Intel, Facebook, Apple ., Uber. What covered report? 1. Overview machine learning market AsiaPacific region. 2. Market drivers challenges machine learning market AsiaPacific region. 3. Market trends machine learning market AsiaPacific region. 4. Historical, current forecasted market size data machine learning market AsiaPacific region. 5. Historical, current forecasted market size data components segment software tools, cloud webbased APIs others. 6. Historical, current forecasted market size data service segment professional services managed services. 7. Historical, current forecasted market size data organisation size segment SMEs large enterprises. 8. Historical, current forecasted market size data application segment BFSI, automotive, healthcare, government others. 9. Historical, current forecasted regional China, India, Japan, South Korea, Australia New Zealand ANZ, rest AsiaPacific market size data machine learning market. 10. Analysis machine learning market AsiaPacific value chain. 11. Analysis competitive landscape profiles major competitors operating market. Browse Full Report With [emailprotected] Table Contents: Chapter 1: Executive summary 1.1. Market scope segmentation 1.2. Key questions answered study 1.3. Executive summary Chapter 2: AsiaPacific machine learning market market overview 2.1. AsiaPacific market overview market trends, market attractiveness analysis, geographywise market revenue USD 2.2. AsiaPacific market drivers challenges 2.3. Value chain analysis machine learning market 2.4. Porters forces analysis 2.5. Market size components software tools, cloud webbased APIs 2.5. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.5. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.5. c. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.6. Market size service professional services managed services 2.6. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.6. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.7. Market size organization size SMEs large enterprises 2.7. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.7. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.8. Market size application BFSI, automotive, healthcare, government 2.8. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.8. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.8. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.8. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 2.8. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Chapter 3: China machine learning market market overview 3.1. Market overview market trends, market attractiveness analysis, geographywise market revenue USD 3.2. China market drivers challenges 3.3. Market size components software tools, cloud webbased APIs 3.3. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.3. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.3. c. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.4. Market size service professional services managed services 3.4. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.4. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.5. Market size organization size SMEs large enterprises 3.5. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.5. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.6. Market size application BFSI, automotive, healthcare, government 3.6. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.6. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.6. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.6. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 3.6. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Chapter 4: India machine learning market market overview 4.1. Market overview market trends, market attractiveness analysis, geographywise market revenue USD 4.2. India market drivers challenges 4.3. Market size By components software tools, cloud webbased APIs 4.3. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.3. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.3. c. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.4. Market size service professional services managed services 4.4. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.4. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.5. Market size organization size SMEs large enterprises 4.5. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.5. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.6. Market size By application BFSI, automotive, healthcare, government 4.6. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.6. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.6. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.6. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 4.6. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Chapter 5: Japan machine learning market market overview 5.1. Market overview market trends, market attractiveness analysis, geographywise market revenue USD 5.2. Japan market drivers challenges 5.3. Market size components software tools, cloud webbased APIs 5.3. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.3. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.3. c. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.4. Market size service professional services managed services 5.4. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.4. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.5. Market size organization size SMEs large enterprises 5.5. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.5. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.6. Market size application BFSI, automotive, healthcare, government 5.6. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.6. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.6. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.6. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 5.6. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Chapter 6: South Korea machine learning market market overview 6.1. Market overview market trends, market attractiveness analysis, geographywise market revenue USD 6.2. South Korea market drivers challenges 6.3. Market size components software tools, cloud webbased APIs 6.3. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.3. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.3. c. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.4. Market size service professional services managed services 6.4. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.4. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.5. Market size organisation size SMEs large enterprises 6.5. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.5. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.6. Market size By application BFSI, automotive, healthcare, government 6.6. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.6. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.6. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.6. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 6.6. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Chapter 7: ANZ machine learning market market overview 7.1. Market overview market trends, market attractiveness analysis, geographywise market revenue USD 7.2. ANZ market drivers challenges 7.3. Market size components software tools, cloud webbased APIs 7.3. a. Revenue software tools Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.3. b. Revenue cloud webbased APIs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.3. c. Revenue Others Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.4. Market size service professional services managed services 7.4. a. Revenue professional services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.4. b. Revenue managed services Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.5. Market size organization size SMEs large enterprises 7.5. a. Revenue SMEs Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.5. b. Revenue large enterprises Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.6. Market size application BFSI, automotive, healthcare, government 7.6. a. Revenue BFSI Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.6. b. Revenue automotive Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.6. c. Revenue healthcare Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.6. d. Revenue government Historical 20152017 forecasted 20182023 market size USD Bn, key observations 7.6. e. Revenue Historical 20152017 forecasted 20182023 market size USD Bn, key observations Continue Check Discount @ : KD Market Insights offers comprehensive database syndicated research studies, customized reports, consulting services. These reports created help making smart, instant crucial decisions based extensive indepth quantitative information, supported extensive analysis industry insights. Our dedicated inhouse team ensures reports satisfy requirement client. We aim providing value service clients. Our reports backed extensive industry coverage sure importance specific needs clients. The main idea enable clients informed decision, keeping date latest trends market. Us: KD Market Insights 150 State Street, Albany, New York, USA 12207 1 518 3001215 Email:[emailprotected] Website: Post Views: 208 Tags: AsiaPacific Machine Learning Market, Machine Learning Market Research, Machine Learning Market Size, machine learning market trends Post navigation Previous: Previous post: MEMS Surgical Market Size, Share, Trend Growth Forecast 2025Next: Next post: 20192023 Chemical Proof Gloves Market Supply Demand Shortage Recent Posts Asia Middle East Automotive Tooling Molds Market Network, Key Vendors, Growth Analysis, Revenue Strategies Forecast Report 20172023 Automotive Interior Plastic Component Market Expand Growth Escalation Demand Fuel Efficient Vehicles Aromatic Polyamine Market 20182025 Shares, Trend Growth Report Global Fishing Rod Holders market size, historical breakdown data Analysis forecast 20192024 Trends Opportunities Russian Packaging Market Development Strategy Analysis 20182025 Other SourcesPowder Crop Enhancer Market Forecast 2021 2027: Overview Trend, Growth Key Players Stoller USA, Synbiont Global, Western Nutrients Corporation, Dumax Agro IndustriesLiquid Crop Enhancer Market Forecast 20212027 Explosive Growth Opportunity CAGR Top Players Stoller USA, Synbiont Global, Western Nutrients Corporation, Dumax Agro IndustriesElectron Spectroscopy Chemical Analysis Market Size 20212027 Future Trends, Share, Competitive Analysis CAGR Kratos Analytical, ThermoFisher Scientific, ULVAC, Scienta OmicronGlobal Malfunction Indicator Light Market Growth Forecast 2021 2027 Analysis Top Key Vendors OSRAM, Hella, Yeolight Technology, Konica Minolta PioneerGlobal Thin Layer Chromatography Plate Market Size Share 2021, Industry Players Silicycle, Merck Millipore, BIOTAGE, Sorbent Technologies 2027Titanium Turnings Market Trend Analysis Forecast 2021 2027 Top Key Leaders Monico Alloys, Metraco NV, Global Titanium ., Goldman TitaniumGlobal Input Voltage Inverter Market 2021 2027: Trends Analysis, CAGR Value Top Key Players, SMA, ABB, AdvancedEnergy, EnphaseEnergyPower Generator Product Market Size 20212027 Future Trends, Share, Competitive Analysis CAGR Value Caterpillar, Cummins, Generac Holdings, KohlerDevice Service DaaS Market Growth, Opportunity, Size, Share, Top Leaders HP, Microsoft, Dell, Amazon Web Services, Analysis 20212027Print Production Workflow Software Market 2021 2027 Growth, Trends, Share, Players Research Study Advanced Vision Technology, Konica Minolta, Ricoh, HP 2021 Market Mirror | 2,021 | [
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https://markets.businessinsider.com/news/stocks/nvidia-ai-chatgpt-stock-market-news-semiconductor-chips-artificial-intelligence-2023-5 | 2023-05-25T00:00:00 | en | Nvidia's Stellar Results Show There's an AI Goldrush Coming, Analyst Says |
Nvidia's Stellar Results Show There's an AI Goldrush Coming, Analyst Says
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Nvidia's stellar results show that there's an AI goldrush coming, chip analyst says
George Glover
2023-05-25T10:51:39Z
George Glover
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Nvidia shares jumped in Thursday's premarket after the AI chipmaker released stunning first-quarter results.
David Becker/Stringer/Getty Images
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Nvidia shares jumped 27% in Thursday's premarket after it posted its first-quarter results.
The stock's massive gains are a sign that there's an artificial intelligence "goldrush" coming, according to Susquehanna chip analyst Chris Rolland.
AI-related stocks are set to add $300 billion worth of market cap at the opening bell, per Reuters.
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Nvidia's latest results show that there's an artificial intelligence "goldrush" on the way for stocks, according to a top chip analyst.The semiconductor giant's shares jumped 27% in Thursday's premarket to trade at a record level of $388.5 after it released second-quarter revenue forecasts that were 50% higher than what Wall Street had expected, which it attributed to soaring demand for AI chips."This is one of the biggest blowouts I've seen in the last decade in semis," Susquehanna's Chris Rolland told CNBC's "Fast Money" after Nvidia's earnings release."This is a stark reminder that we are in the middle of a massive AI goldrush right now, and Nvidia has all the picks and shovels," he added.
Nvidia has been the S&P 500's best-performing stock in 2023, jumping 109% even before its stellar results Wednesday.It is the world's leading producer of graphics chips needed for high-intensity AI computing, an industry that has experienced a rapid surge in demand since the eruption in interest in ChatGPT earlier this year.Nvidia's market capitalization will soar by nearly $200 billion if those gains hold up to the closing bell – and AI-related stocks will add another $100 billion worth of valuation, according to data from Reuters.Rolland said he's not surprised that Nvidia's results are lifting the entire sector – but added that he sees the Santa Clara-based company as the best-positioned stock for now.
"The vast majority of this is this AI arms race that's taking place right now," he told CNBC."This is the goldrush of 1849, except this time, it's built around generative AI, large language models, and Nvidia really is the only game in town as of right now," Rolland added.Read more: Facebook parent Meta and Nvidia have both seen their stock prices double within the first 5 months of 2023
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| Nvidia's Stellar Results Show There's an AI Goldrush Coming, Analyst Says | Nvidias Stellar Results Show Theres AI Goldrush Coming, Analyst Says Jump Main content Account Menu icon A vertical stack evenly spaced horizontal lines. Insider logo The word Insider. Markets Insider logo The word Markets Insider. markets icon A magnifying glass. It indicates, Click perform search. 0 My Watchlist Markets Stocks Indices Commodities Cryptocurrencies Currencies ETFs News Calendar icon An icon shape calendar. Economic Earnings markets icon A magnifying glass. It indicates, Click perform search. icon A magnifying glass. It indicates, Click perform search. Markets Insider logo The word Markets Insider. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. 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Disclaimer Accessibility Commerce Policy Advertising Policies Made NYC Stock quotes Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Home Chevron icon It indicates expandable section menu, previous navigation options. News Chevron icon It indicates expandable section menu, previous navigation options. stocks Nvidias stellar results theres AI goldrush coming, chip analyst says George Glover 20230525T10:51:39Z George Glover Save Article Icon A bookmark Facebook Icon The letter F. Email icon An envelope. It indicates ability send email. Share icon An curved arrow pointing right. Twitter icon A stylized bird open mouth, tweeting. Twitter Facebook Icon The letter F. Facebook Email icon An envelope. It indicates ability send email. Email Link icon An image chain link. It symobilizes website link url. Copy Link Read app Nvidia shares jumped Thursdays premarket AI chipmaker released stunning firstquarter results. David BeckerStringerGetty Images Redeem Nvidia shares jumped 27 Thursdays premarket posted firstquarter results. The stocks massive gains sign theres artificial intelligence goldrush coming, according Susquehanna chip analyst Chris Rolland. AIrelated stocks set add 300 billion worth market cap opening bell, Reuters. Sign newsletter inside scoop traders talking delivered daily inbox. Loading Something loading. Thanks signing Access favorite topics personalized feed youre go. download app Email address By clicking Sign up, agree receive marketing emails Insider partner offers accept . Nvidias latest results theres artificial intelligence goldrush way stocks, according chip analyst.The semiconductor giants shares jumped 27 Thursdays premarket trade record level 388.5 released secondquarter revenue forecasts 50 higher Wall Street expected, attributed soaring demand AI chips.This biggest blowouts Ive seen decade semis, Susquehannas Chris Rolland told CNBCs Fast Money Nvidias earnings release.This stark reminder middle massive AI goldrush right now, Nvidia picks shovels, added. Nvidia SP 500s bestperforming stock 2023, jumping 109 stellar results Wednesday.It worlds leading producer graphics chips needed highintensity AI computing, industry experienced rapid surge demand eruption ChatGPT earlier year.Nvidias market capitalization soar nearly 200 billion gains hold closing bell AIrelated stocks add 100 billion worth valuation, according data Reuters.Rolland said hes surprised Nvidias results lifting entire sector added sees Santa Clarabased company bestpositioned stock now. The vast majority AI arms race thats taking place right now, told CNBC.This goldrush 1849, time, built generative AI, large language models, Nvidia game town right now, Rolland added.Read more: Facebook parent Meta Nvidia seen stock prices double 5 months 2023 Read MI Exclusive Markets Stocks More... Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. 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https://maxwellgunterdispatch.com/uncategorized/182026/artificial-intelligence-systems-spending-market-projection-by-top-key-players-segments-regional-analysis-forecast-till-2027/ | 2021-10-22T00:00:00 | en | Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis & Forecast Till – 2027 – Maxwell Gunter Dispatch |
Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis & Forecast Till – 2027 – Maxwell Gunter Dispatch
Friday, October 22 2021
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Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis & Forecast Till – 2027
Credible Markets3 hours ago0 1 2 minutes read
The recent report on “Artificial Intelligence Systems Spending Market Report 2021 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2027” offered by Credible Markets, comprises of a comprehensive investigation into the geographical landscape, industry size along with the revenue estimation of the business. Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the “Artificial Intelligence Systems Spending Market”.
An exhaustive competition analysis that covers insightful data on industry leaders is intended to help potential market entrants and existing players in competition with the right direction to arrive at their decisions. Market structure analysis discusses in detail Artificial Intelligence Systems Spending companies with their profiles, revenue shares in market, comprehensive portfolio of their offerings, networking and distribution strategies, regional market footprints, and much more.
Request for Sample with Complete TOC and Figures & Graphs @ https://crediblemarkets.com/sample-request/artificial-intelligence-systems-spending-market-177865?utm_source=Aniket&utm_medium=SatPR
Market segmentation
Artificial Intelligence Systems Spending market is split by Type and by Application. For the period 2016-2026, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type, covers
Deep Learning
Machine Learning
Natural Language Processing
Machine Vision
AGI
ASI
Market segment by Application, can be divided into
BFSI
Manufacturing
Healthcare
Retail
Wholesale
Professional & Consumer
Service
Transportation
Others
Market segment by players, this report covers
Google
Microsoft
Facebook
IBM
Apple
Amazon
Intel
Infosys
Wipro
Salesforce
Ipsoft
Anki
Cognitive Scale
Ayasdi
Appier
OpenText
Nuance Communication
Digital Reasoning Systems
AIBrain
Palantir Technologies
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions:
North America (United States, Canada, Mexico)
Europe (Germany, UK, France, Italy, Spain, Others)
Asia-Pacific (China, Japan, India, South Korea, Southeast Asia, Others)
Middle East and Africa (Saudi Arabia, UAE, South Africa, Others)
South America (Brazil, Others)
Direct Purchase this Market Research Report Now @ https://crediblemarkets.com/reports/purchase/artificial-intelligence-systems-spending-market-177865?license_type=single_user;utm_source=Aniket&utm_medium=SatPR
Some Points from Table of Content
Global Artificial Intelligence Systems Spending Market Research Report with Opportunities and Strategies to Boost Growth- COVID-19 Impact and Recovery
Chapter 1 Market Overview
Chapter 2 Market Dynamics
Chapter 3 Associated Industry Assessment
Chapter 4 Market Competitive Landscape
Chapter 5 Analysis of Leading Companies
Chapter 6 Market Analysis and Forecast, By Product Types
Chapter 7 Market Analysis and Forecast, By Applications
Chapter 8 Market Analysis and Forecast, By Regions
Chapter 9 North America Artificial Intelligence Systems Spending Market Analysis
Chapter 10 Europe Artificial Intelligence Systems Spending Market Analysis
Chapter 11 Asia-Pacific Artificial Intelligence Systems Spending Market Analysis
Chapter 12 South America Artificial Intelligence Systems Spending Market Analysis
Chapter 13 Middle East and Africa Artificial Intelligence Systems Spending Market Analysis
Chapter 14 Conclusions and Recommendations
Chapter 15 Appendix
Do You Have Any Query Or Specific Requirement? Ask to Our Industry Expert @ https://crediblemarkets.com/enquire-request/artificial-intelligence-systems-spending-market-177865?utm_source=Aniket&utm_medium=SatPR
Key Questions Covered in the Report
What is the total market value of Artificial Intelligence Systems Spending Market report?
What would be forecast period in the market report?
What is the market value of Artificial Intelligence Systems Spending Market in 2021?
What is the Key Industry Leaders opinion for the Artificial Intelligence Systems Spending?
Which is base year calculated in the Artificial Intelligence Systems Spending Market Report?
What are the key trends in the Artificial Intelligence Systems Spending Market Report?
What are the market values / growth % of emerging countries?
Which market holds the maximum market share of the Artificial Intelligence Systems Spending Market?
Contact Us
Credible Markets Analytics
99 Wall Street 2124 New York, NY 10005
Email: [email protected]
TagsArgentina Artificial Intelligence Systems Spending Market Artificial Intelligence Systems Spending Applications Artificial Intelligence Systems Spending Industry Artificial Intelligence Systems Spending Key Players Artificial Intelligence Systems Spending Market Artificial Intelligence Systems Spending Market 2020 Artificial Intelligence Systems Spending Market 2021 Australia Artificial Intelligence Systems Spending Market Belgium Artificial Intelligence Systems Spending Market Brazil Artificial Intelligence Systems Spending Market Canada Artificial Intelligence Systems Spending Market Chile Artificial Intelligence Systems Spending Market China Artificial Intelligence Systems Spending Market Columbia Artificial Intelligence Systems Spending Market Egypt Artificial Intelligence Systems Spending Market France Artificial Intelligence Systems Spending Market Germany Artificial Intelligence Systems Spending Market Global Artificial Intelligence Systems Spending Market India Artificial Intelligence Systems Spending Market Indonesia Artificial Intelligence Systems Spending Market Italy Artificial Intelligence Systems Spending Market Japan Artificial Intelligence Systems Spending Market Malaysia Artificial Intelligence Systems Spending Market Mexico Artificial Intelligence Systems Spending Market Netherlands Artificial Intelligence Systems Spending Market Nigeria Artificial Intelligence Systems Spending Market Philippines Artificial Intelligence Systems Spending Market Poland Artificial Intelligence Systems Spending Market Russia Artificial Intelligence Systems Spending Market Saudi Arabia Artificial Intelligence Systems Spending Market South Africa Artificial Intelligence Systems Spending Market South Korea Artificial Intelligence Systems Spending Market Spain Artificial Intelligence Systems Spending Market Sweden Artificial Intelligence Systems Spending Market Switzerland Artificial Intelligence Systems Spending Market Taiwan Artificial Intelligence Systems Spending Market Thailand Artificial Intelligence Systems Spending Market Turkey Artificial Intelligence Systems Spending Market UAE Artificial Intelligence Systems Spending Market UK Artificial Intelligence Systems Spending Market United States Artificial Intelligence Systems Spending Market
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| Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis & Forecast Till | Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis Forecast Till 2027 Maxwell Gunter Dispatch Friday, October 22 2021 Breaking News Plate Shell Heat Exchanger Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Seed Grain Processing Equipment Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Alloy Nanoparticles Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Online OnDemand Food Delivery Services Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Sheds Building Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Freeze Drying Machine Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Friction Welding Equipment Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Heavy Metal Detector Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Fountain Equipment Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Cinema Point Sale POS Solutions Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Sidebar Random Article Log In Menu News Technology Energy Space Climate change Electric vehicles Satellites Blue Origin HomeUncategorizedArtificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis Forecast Till 2027 Uncategorized Artificial Intelligence Systems Spending Market Projection By Top Key Players, Segments, Regional Analysis Forecast Till 2027 Credible Markets3 hours ago0 1 2 minutes read The recent report Artificial Intelligence Systems Spending Market Report 2021 Key Players, Types, Applications, Countries, Market Size, Forecast 2027 offered Credible Markets, comprises comprehensive investigation geographical landscape, industry size revenue estimation business. Additionally, report highlights challenges impeding market growth expansion strategies employed leading companies Artificial Intelligence Systems Spending Market. An exhaustive competition analysis covers insightful data industry leaders intended help potential market entrants existing players competition right direction arrive decisions. Market structure analysis discusses Artificial Intelligence Systems Spending companies profiles, revenue shares market, comprehensive portfolio offerings, networking distribution strategies, regional market footprints, more. Request Sample Complete TOC Figures Graphs @ Market segmentation Artificial Intelligence Systems Spending market split Type Application. For period 20162026, growth segments provide accurate calculations forecasts revenue Type Application. This analysis help expand business targeting qualified niche markets. Market segment Type, covers Deep Learning Machine Learning Natural Language Processing Machine Vision AGI ASI Market segment Application, divided BFSI Manufacturing Healthcare Retail Wholesale Professional Consumer Service Transportation Others Market segment players, report covers Google Microsoft Facebook IBM Apple Amazon Intel Infosys Wipro Salesforce Ipsoft Anki Cognitive Scale Ayasdi Appier OpenText Nuance Communication Digital Reasoning Systems AIBrain Palantir Technologies Geographically, detailed analysis consumption, revenue, market share growth rate following regions: North America United States, Canada, Mexico Europe Germany, UK, France, Italy, Spain, Others AsiaPacific China, Japan, India, South Korea, Southeast Asia, Others Middle East Africa Saudi Arabia, UAE, South Africa, Others South America Brazil, Others Direct Purchase Market Research Report Now @ Some Points Table Content Global Artificial Intelligence Systems Spending Market Research Report Opportunities Strategies Boost Growth COVID19 Impact Recovery Chapter 1 Market Overview Chapter 2 Market Dynamics Chapter 3 Associated Industry Assessment Chapter 4 Market Competitive Landscape Chapter 5 Analysis Leading Companies Chapter 6 Market Analysis Forecast, By Product Types Chapter 7 Market Analysis Forecast, By Applications Chapter 8 Market Analysis Forecast, By Regions Chapter 9 North America Artificial Intelligence Systems Spending Market Analysis Chapter 10 Europe Artificial Intelligence Systems Spending Market Analysis Chapter 11 AsiaPacific Artificial Intelligence Systems Spending Market Analysis Chapter 12 South America Artificial Intelligence Systems Spending Market Analysis Chapter 13 Middle East Africa Artificial Intelligence Systems Spending Market Analysis Chapter 14 Conclusions Recommendations Chapter 15 Appendix Do You Have Any Query Or Specific Requirement? Ask Our Industry Expert @ Key Questions Covered Report What total market value Artificial Intelligence Systems Spending Market report? What forecast period market report? What market value Artificial Intelligence Systems Spending Market 2021? What Key Industry Leaders opinion Artificial Intelligence Systems Spending? Which base year calculated Artificial Intelligence Systems Spending Market Report? What key trends Artificial Intelligence Systems Spending Market Report? What market values growth emerging countries? Which market holds maximum market share Artificial Intelligence Systems Spending Market? Us Credible Markets Analytics 99 Wall Street 2124 New York, NY 10005 Email: [emailprotected] TagsArgentina Artificial Intelligence Systems Spending Market Artificial Intelligence Systems Spending Applications Artificial Intelligence Systems Spending Industry Artificial Intelligence Systems Spending Key Players Artificial Intelligence Systems Spending Market Artificial Intelligence Systems Spending Market 2020 Artificial Intelligence Systems Spending Market 2021 Australia Artificial Intelligence Systems Spending Market Belgium Artificial Intelligence Systems Spending Market Brazil Artificial Intelligence Systems Spending Market Canada Artificial Intelligence Systems Spending Market Chile Artificial Intelligence Systems Spending Market China Artificial Intelligence Systems Spending Market Columbia Artificial Intelligence Systems Spending Market Egypt Artificial Intelligence Systems Spending Market France Artificial Intelligence Systems Spending Market Germany Artificial Intelligence Systems Spending Market Global Artificial Intelligence Systems Spending Market India Artificial Intelligence Systems Spending Market Indonesia Artificial Intelligence Systems Spending Market Italy Artificial Intelligence Systems Spending Market Japan Artificial Intelligence Systems Spending Market Malaysia Artificial Intelligence Systems Spending Market Mexico Artificial Intelligence Systems Spending Market Netherlands Artificial Intelligence Systems Spending Market Nigeria Artificial Intelligence Systems Spending Market Philippines Artificial Intelligence Systems Spending Market Poland Artificial Intelligence Systems Spending Market Russia Artificial Intelligence Systems Spending Market Saudi Arabia Artificial Intelligence Systems Spending Market South Africa Artificial Intelligence Systems Spending Market South Korea Artificial Intelligence Systems Spending Market Spain Artificial Intelligence Systems Spending Market Sweden Artificial Intelligence Systems Spending Market Switzerland Artificial Intelligence Systems Spending Market Taiwan Artificial Intelligence Systems Spending Market Thailand Artificial Intelligence Systems Spending Market Turkey Artificial Intelligence Systems Spending Market UAE Artificial Intelligence Systems Spending Market UK Artificial Intelligence Systems Spending Market United States Artificial Intelligence Systems Spending Market Credible Markets3 hours ago0 1 2 minutes read Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print Credible Markets Credible Markets emerged dependable source market research needs businesses quick time span. We collaborated leading publishers market intelligence coverage reports reserve spans key industry verticals thousands micro markets. The massive repository allows clients pick recently published reports range publishers provide extensive regional countrywise analysis. Moreover, prebooked research reports offerings. Website Related Articles Global Waterway Transportation Solution Market Growth Analysis 20212026: Accenture , Bass Software Ltd. , GNV GL GL Maritime Software GmbH , SAP SE , Venson Nautical Corporation , Aljex Software . , Cognizant , Descartes Systems Group , High Jump Software . , Trans I Technologies . , etc. 1 day ago Functional Testing Sofware Market Projection By Top Key Players, Segments, Regional Analysis Forecast Till 2027 4 hours ago Enterprise Communication Infrastructure Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 7 hours ago Handwritten LCD Monitors Market Size, Share 2021 Regional Trend, Future Growth, Leading Players Updates, Current Future Plans Forecast 2027,Nanopartz,Novarials,Metrohm India,Alfa 22 mins ago Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Check Also Close Computer Keyboards Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 2 days ago 2021, Jannah Theme TieLabs Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Plate Shell Heat Exchanger Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Seed Grain Processing Equipment Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Alloy Nanoparticles Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Online OnDemand Food Delivery Services Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 Sheds Building Market Size 2021 By Top Key Players, Types, Applications Forecast 2027 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? 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https://menafn.com/1107023195/Bookie-Battles-Chatgpt-4-In-Head-To-Head-Nfl-Picks-Competition-For-2023-Regular-Season | 2023-09-07T00:00:00 | en | Bookie Battles Chatgpt-4 In Head-To-Head Nfl Picks Competition For 2023 Regular Season | MENAFN.COM |
Bookie Battles Chatgpt-4 In Head-To-Head Nfl Picks Competition For 2023 Regular Season | MENAFN.COM
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Bookie Battles Chatgpt-4 In Head-To-Head Nfl Picks Competition For 2023 Regular Season
Date
9/6/2023 7:46:31 PM
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(MENAFN- PR Newswire) Can Oddsmaker and Pro Sports Bettor Select More NFL Winners Than ChatGPT?SAN FRANCISCO, Sept. 6, 2023 /PRNewswire/ -- In a groundbreaking event that pits human against artificial intelligence, BetOnline.ag proudly announces "BURNS vs. BOT" -- an NFL picks competition between a pro gambler and ChatGPT-4.While history often paints a bleak picture of man vermachine, with technology reigning supreme in battles of brainpower, the world of sports proves to be the ultimate underdog story. Continue Reading
"This is the first time in sports history a professional in the gambling world has gone head-to-head with ChatGPT-4."
Tweet this And now for the first time ever, a veteran sports bettor and oddsmaker will face off against the formidable ChatGPT-4 in a season-long NFL prediction battle.
"This is the first time in sports betting history a professional in the gambling world has gone head-to-head with ChatGPT-4," BetOnline Chief Marketing Officer, Edward Knight, said. "The score is nil-nil right now. We're confident in our guy, but it's hard to beat the bot." Meet The Contestants Adam Burns , a former professional bettor and current Sportsbook Manager for one of the world's largest online gambling platforms, BetOnline.ag.ChatGPT-4, an advanced artificial intelligence (AI) language model designed to generate human-like text responses based on the input it receives. Competition Rules The "BURNS vs. BOT" rules are simple: Burns and ChatGPT-4 will make weekly picks against the spread for every game throughout the 2023 NFL regular season.To ensure fairness, the competition relies on fixed pointspreads established every Tuesday at 5 p.m. ET. Regardless of unforeseen variables like injuries that could prompt odds movements, both Burns and ChatGPT must submit their picks no later than Wednesday at 5 p.m. ET each week. All spreads are set with half points to eliminate ties.Picks will be posted every Thursday on BetOnline's social media channels: Twitter -@betonline_ag Instagram -@betonline_ag YouTube -@BetOnlineag_Official WEEK 1 PICKS CAN BE VIEWED HERE ChatGPT-4 Picks Process In order to enhance ChatGPT-4's ability to make precise predictions regarding NFL games and their pointspreads, BetOnline supplied the AI with a comprehensive repository of NFL data.Here are some samples of the data provided: Advanced Statistical Analytics: BetOnline.ag granted ChatGPT-4 access to a wide array of sophisticated statistical analytics. These encompass historical team and player performance data, offensive and defensive statistics, scoring trends and more. Injury Reports: ChatGPT-4 was fed real-time injury reports, which include updates on players who may be sidelined due to injuries or playing at less than full capacity. RosterMatchups: BetOnline.ag equipped ChatGPT-4 with comprehensive roster matchup data, including player statistics, positional analyses and historical performance against specific opponents. Historical Game Data: Access to past game data, including the results of previmatchups, helps ChatGPT-4 analyze patterns and trends. This historical context allows the AI to take into account factors like home-field advantage, previhead-to-head performance and other situational variables. Weather Conditions: Weather can affect skill players' performances, field conditions and overall game strategies. BetOnline.ag has incorporated real-time weather data into ChatGPT-4's knowledge base to ensure it considers weather-related variables. Coaching Strategies: Understanding the coaching strategies of NFL teams and how they may evolve during a game is vital. ChatGPT-4 has access to information about coaching staffs, play-calling tendencies and in-game decision-making, enabling it to factor in the strategic aspects of each matchup. Contest Prop Bets Gamblers can place real-money wagers on who will emerge as the sharpest against-the-spread predictor each week. Additionally, they can bet on whether Burns or ChatGPT-4 will achieve a 65% win rate.What's more, random cash prizes will rain down upon Twitter followers who engage with the contest's posts any week where Burns loses to the bot.Media requests for comments or additional information can be emailed to the address below. About BetOnline Established more than 25 years ago, BetOnline ( ) has become a worldwide leader in providing safe, legal and secure online gaming. The company's guiding principle is to establish long-lasting, positive relationships with its customers and within the gaming community. BetOnline features the most innovative technology and online gaming solutions for its sportsbook, poker, casino and horse racing clients. Media Contact Joshua Barton[email protected] SOURCE BetOnline.ag
MENAFN06092023003732001241ID1107023195
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| Bookie Battles Chatgpt-4 In Head-To-Head Nfl Picks Competition For 2023 Regular Season | Bookie Battles Chatgpt4 In HeadToHead Nfl Picks Competition For 2023 Regular Season MENAFN.COM Thursday, 07 September 2023 04:10 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 Bookie Battles Chatgpt4 In HeadToHead Nfl Picks Competition For 2023 Regular Season Date 962023 7:46:31 PM Share Facebook Tweet Twitter MENAFN PR Newswire Can Oddsmaker Pro Sports Bettor Select More NFL Winners Than ChatGPT?SAN FRANCISCO, Sept. 6, 2023 PRNewswire In groundbreaking event pits human artificial intelligence, BetOnline.ag proudly announces BURNS vs. BOT NFL picks competition pro gambler ChatGPT4.While history paints bleak picture man vermachine, technology reigning supreme battles brainpower, world sports proves ultimate underdog story. Continue Reading This time sports history professional gambling world gone headtohead ChatGPT4. Tweet And time ever, veteran sports bettor oddsmaker face formidable ChatGPT4 seasonlong NFL prediction battle. This time sports betting history professional gambling world gone headtohead ChatGPT4, BetOnline Chief Marketing Officer, Edward Knight, said. The score nilnil right now. Were confident guy, hard beat bot. Meet The Contestants Adam Burns , professional bettor current Sportsbook Manager worlds largest online gambling platforms, BetOnline.ag.ChatGPT4, advanced artificial intelligence AI language model designed generate humanlike text responses based input receives. Competition Rules The BURNS vs. BOT rules simple: Burns ChatGPT4 weekly picks spread game 2023 NFL regular season.To ensure fairness, competition relies fixed pointspreads established Tuesday 5 p.m. ET. Regardless unforeseen variables like injuries prompt odds movements, Burns ChatGPT submit picks later Wednesday 5 p.m. ET week. All spreads set half points eliminate ties.Picks posted Thursday BetOnlines social media channels: Twitter Instagram YouTube WEEK 1 PICKS CAN BE VIEWED HERE ChatGPT4 Picks Process In order enhance ChatGPT4s ability precise predictions NFL games pointspreads, BetOnline supplied AI comprehensive repository NFL data.Here samples data provided: Advanced Statistical Analytics: BetOnline.ag granted ChatGPT4 access wide array sophisticated statistical analytics. These encompass historical team player performance data, offensive defensive statistics, scoring trends more. Injury Reports: ChatGPT4 fed realtime injury reports, include updates players sidelined injuries playing capacity. RosterMatchups: BetOnline.ag equipped ChatGPT4 comprehensive roster matchup data, including player statistics, positional analyses historical performance specific opponents. Historical Game Data: Access past game data, including results previmatchups, helps ChatGPT4 analyze patterns trends. This historical context allows AI account factors like homefield advantage, previheadtohead performance situational variables. Weather Conditions: Weather affect skill players performances, field conditions overall game strategies. BetOnline.ag incorporated realtime weather data ChatGPT4s knowledge base ensure considers weatherrelated variables. Coaching Strategies: Understanding coaching strategies NFL teams evolve game vital. ChatGPT4 access information coaching staffs, playcalling tendencies ingame decisionmaking, enabling factor strategic aspects matchup. Contest Prop Bets Gamblers place realmoney wagers emerge sharpest againstthespread predictor week. Additionally, bet Burns ChatGPT4 achieve 65 win rate.Whats more, random cash prizes rain Twitter followers engage contests posts week Burns loses bot.Media requests comments additional information emailed address below. About BetOnline Established 25 years ago, BetOnline worldwide leader providing safe, legal secure online gaming. The companys guiding principle establish longlasting, positive relationships customers gaming community. BetOnline features innovative technology online gaming solutions sportsbook, poker, casino horse racing clients. Media Joshua Barton[email protected] SOURCE BetOnline.ag MENAFN06092023003732001241ID1107023195 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 962023 Most popular stories U.S., Europe Should Allow Using Seized Russian Assets To Rebuild Ukrai... EU Committed To Helping Lebanon Overcome Crisis: Ambassador... President Zelensky: Ukraine Strongly Against Any Further Restrictions ... Halifaxs New Development Projects Must Not Repeat The Wrongs Done To ... Kuwait Moi Pays Homage To Martyr Hamdan AlMutairi... Oic Special Envoy To Afghanistan Meets With Afghan De Facto Foreign Mi... Stay Connected Followers Likes itunes App Store RSS More Stories Briefing Of Kuna Main News For Wednesday Until 00:00 Gmt... Russian Nuclear Weapons In Belarus Have Little Effect On Ukraines Securi... Man Held For Raping 13YrOld Mentally Challenged Girl In UPs Bulandshah... Distributing Bible Is Not Allurement For Religious Conversions : HC... Volume Of Irans NonOil Trade With Kazakhstan Falls Down... Pentagon Announces New Security Assistance Package Worth 175M For Ukrain... 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Design Devleopment byMENAFN Home News News Industry News Region Americas Europe Arab World Asia Africa Press Releases Submit Your press Authors Submit Articles RSS MarketData Equities Market Global Indices MENA Indices Qutoes Charts End Day stocks Currencies Currency Convertor Cross Rates Historical Currencies Libor Mena Stocks Stocks Commodoties Oil Energy Economic Calendar Stocks 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 | 2,023 | [
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https://menafn.com/1107060248/Telecom-Operators-Empowered-By-Ai-And-Automation-With-Next-Generation-Optiva-Charging-Engine | 2023-09-13T00:00:00 | en | Telecom Operators Empowered By Ai And Automation With Next-Generation Optiva Charging Engine | MENAFN.COM |
Telecom Operators Empowered By Ai And Automation With Next-Generation Optiva Charging Engine | MENAFN.COM
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13 September 2023
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Telecom Operators Empowered By Ai And Automation With Next-Generation Optiva Charging Engine
Date
9/13/2023 8:02:11 AM
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(MENAFN- GlobeNewsWire - Nasdaq) TORONTO, Sept. 13, 2023 (GLOBE NEWSWIRE) -- Optiva Inc. (“Optiva” or the“Company”) (TSX: OPT), a leader in powering the telindustry with cloud-native billing, charging and revenue management software on private and public clouds, today announced the launch of its next-generation converged Optiva Charging Engine, the latest advancement in the Company's billing and charging portfolio. The new release features AI-based personalization to enable real-time digital customer experiences. The next-generation version also integrates an Open API gateway, including support for customer and product management with TM Forum Open APIs. It offers best-of-breed architecture for seamless automation of customer flows throughout the BSS stack and for processes - from product creation to smart selling and AI closed-loop feedback for aligning product configurations and customer purchases. The new Optiva Charging Engine release delivers convergent rating and charging capabilities that empower teloperators, especially new market entrants focused on digital customer experience and rapid time to market, to create elevated customer offerings and new revenue streams. Key platform benefits to operators include: AI platform integration to identify product and usage behaviors, automatic adaptation of product configuration and upsell management Personalization of products during real-time usage of services, enabling cross-selling, usage shocks and contextual services Ease of integration based on APIs enabled by TM Forum API 620 and 637 for product and bundle data Google Analytics powered data usage repository for customer behavior insights, fine-tuning products and automating processes for superior customer experience “As the telindustry moves toward Web 3.0 and new revenue opportunities, including metaverse, NFTs and B2B2X offerings, leveraging the power of AI to continuously personalize the customer experience and attract new customers is vital,” said Matt Halligan, CTO of Optiva. To support the success of Optiva's customers, spanning more than 50 countries and actively investing in 5G technology upgrades, the next-generation Optiva Charging Engine release fulfills the expectations of the new generation of consumer and enterprise customers. It delivers flexibility through immediate and easy adaptation and prevents the traditional delays of legacy platforms. The new features are essential for meeting today's and future market demands while reducing OPEX with automation across all life cycles. For more information about the next-generation converged Optiva Charging Engine, please visit: Optical invites telinnovators who want to learn more about the new Optiva Charging Engine release to meet at DTW - Ignite in Copenhagen, hall 2, booth 216, or schedule a meeting here . About Optiva Inc. Optiva Inc. is a leader in powering the telindustry with cloud-native billing, charging and revenue management software on private and public clouds. Its products are delivered globally on the private and public cloud. The Company's solutions help service providers maximize digital, 5G, IoT and emerging market opportunities to achieve business success. Established in 1999, Optiva Inc. is on the Toronto Stock Exchange (TSX: OPT). For more information, visit . Optiva Media Contact: Misann Ellmaker Optiva Investor Relations Contact: Ali Mahdavi Tags telcloud cloud-native bss AI billing tetelecommunications mobile digital Google Analytics Google Cloud Open APIs IoT Related Links Optiva Charging Engine MENAFN13092023004107003653ID1107060248
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| Telecom Operators Empowered By Ai And Automation With Next-Generation Optiva Charging Engine | Telecom Operators Empowered By Ai And Automation With NextGeneration Optiva Charging Engine MENAFN.COM Wednesday, 13 September 2023 03:56 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 Telecom Operators Empowered By Ai And Automation With NextGeneration Optiva Charging Engine Date 9132023 8:02:11 AM Share Facebook Tweet Twitter MENAFN GlobeNewsWire Nasdaq TORONTO, Sept. 13, 2023 GLOBE NEWSWIRE Optiva . Optiva theCompany TSX: OPT, leader powering telindustry cloudnative billing, charging revenue management software private public clouds, today announced launch nextgeneration converged Optiva Charging Engine, latest advancement Companys billing charging portfolio. The new release features AIbased personalization enable realtime digital customer experiences. The nextgeneration version integrates Open API gateway, including support customer product management TM Forum Open APIs. It offers bestofbreed architecture seamless automation customer flows BSS stack processes product creation smart selling AI closedloop feedback aligning product configurations customer purchases. The new Optiva Charging Engine release delivers convergent rating charging capabilities empower teloperators, especially new market entrants focused digital customer experience rapid time market, create elevated customer offerings new revenue streams. Key platform benefits operators include: AI platform integration identify product usage behaviors, automatic adaptation product configuration upsell management Personalization products realtime usage services, enabling crossselling, usage shocks contextual services Ease integration based APIs enabled TM Forum API 620 637 product bundle data Google Analytics powered data usage repository customer behavior insights, finetuning products automating processes superior customer experience As telindustry moves Web 3.0 new revenue opportunities, including metaverse, NFTs B2B2X offerings, leveraging power AI continuously personalize customer experience attract new customers vital, said Matt Halligan, CTO Optiva. To support success Optivas customers, spanning 50 countries actively investing 5G technology upgrades, nextgeneration Optiva Charging Engine release fulfills expectations new generation consumer enterprise customers. It delivers flexibility immediate easy adaptation prevents traditional delays legacy platforms. The new features essential meeting todays future market demands reducing OPEX automation life cycles. For information nextgeneration converged Optiva Charging Engine, visit: Optical invites telinnovators want learn new Optiva Charging Engine release meet DTW Ignite Copenhagen, hall 2, booth 216, schedule meeting . About Optiva . Optiva . leader powering telindustry cloudnative billing, charging revenue management software private public clouds. Its products delivered globally private public cloud. The Companys solutions help service providers maximize digital, 5G, IoT emerging market opportunities achieve business success. Established 1999, Optiva . Toronto Stock Exchange TSX: OPT. For information, visit . Optiva Media : Misann Ellmaker Optiva Investor Relations : Ali Mahdavi Tags telcloud cloudnative bss AI billing tetelecommunications mobile digital Google Analytics Google Cloud Open APIs IoT Related Links Optiva Charging Engine MENAFN13092023004107003653ID1107060248 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 9132023 Most popular stories 5 Types Of Employee Fraud... Forescout Releases 2023H1 Threat Review... Brazil To Host Forum To Unite Global Halal Industry Stakeholders... Euro Steelmakers Defy Sluggish Market With Bold Price Hike... StateOfTheArt Forensic Lab To Transform Investigations In Kp... Hurtful Dress: Why China Wants To Criminalize The Kimono... Stay Connected Followers Likes itunes App Store RSS More Stories Mumbai Man Befriends Divorcee On Social Media, Cheats Her Of Rs 45 Lakh... Sai Pallavi To Make Bollywood Debut Opposite Aamir KhanS Son Junaid ... Tesla Aims To Source Automobile Parts Worth Up To 1.9 Billion From India... X Corp Bans Record Over 12 Lakh Accounts For Policy Violations In India I... Youth Ashes Star Harry Dixon Signs With Melbourne Renegades... Spain achieves remarkable success stray dog control ... Shivraj To Unveil 108Feet Tall Statue Of Adi Shankaracharya In MP On S... Art By Generation Next... Asia Cup: Kuldeep Yadav Thanks Suryakumar Yadav For TwoMinute Pep Talk H... 1St Case Of White Dot Syndrome Post Covid Vax Subsequent Infection: Stu... Ashok Selvan Marries Keerthi Pandian In A Traditional Tamil Ceremony... Forescout Releases 2023H1 Threat Review... Newsletter DailyEnglish DailyArabic All World Middle East business financial news, Stocks, Currencies, Market Data, Research, Weather data. Us Click Tel: 962 6 5690450 About Us Advertise About MENAFN Jobs Feedback Newsletter Daily English Daily Arabic All Social Link Facebook Twitter Google Plus Daily Email Linkedin RSS 2000 MENAFN. . Design Devleopment byMENAFN Home News News Industry News Region Americas Europe Arab World Asia Africa Press Releases Submit Your press Authors Submit Articles RSS MarketData Equities Market Global Indices MENA Indices Qutoes Charts End Day stocks Currencies Currency Convertor Cross Rates Historical Currencies Libor Mena Stocks Stocks Commodoties Oil Energy Economic Calendar Stocks 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 | 2,023 | [
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https://menafn.com/1107220896/ESOMARs-Art-Science-Of-Innovation-Conference-Features-Leading-Experts-In-Artificial-Intelligence | 2023-10-10T00:00:00 | en | ESOMAR's Art & Science Of Innovation Conference Features Leading Experts In Artificial Intelligence | MENAFN.COM |
ESOMAR's Art & Science Of Innovation Conference Features Leading Experts In Artificial Intelligence | MENAFN.COM
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ESOMAR's Art & Science Of Innovation Conference Features Leading Experts In Artificial Intelligence
Date
10/10/2023 1:31:10 PM
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(MENAFN- EIN Presswire)
Global organisation's annual APAC conference, being held 8-10 November in Singapore, brings innovative methodologies and AI-driven solutions to the forefront A core element of ESOMAR's mission as an organisation is education, as evidenced by our efforts to connect AI experts with our audiences at events like our Art & Science of Innovation Conference.” - Ray Poynter, President, ESOMARAMSTERDAM, THE NETHERLANDS, October 10, 2023 /EINPresswire / -- ESOMAR , the global community for data, research and insights, highlights new technologies and market research methodologies at its Art & Science of Innovation Conference in Singapore, 8 to 10 November 2023. Artificial intelligence in the research, data and insights sector is a key focus of this year's event, helping attendees learn ways this pervasive technology can increase engagement, predict behaviors and deliver higher quality insights across the market research continuum.
“We are acutely aware that our constituents are navigating the rapid evolution of the insights sector, and much of this change is driven by the profound impact of AI on every facet of the industry,” said Ray Poynter, ESOMAR President and head of the organisation's AI Task Force.“Already, the ESOMAR AI Task Force is working hard to provide practical guidance for our global community surrounding these issues. A core element of our mission as an organisation is education, as evidenced by our efforts to connect AI experts with our audiences at events like this."
At Singapore's Art & Science of Innovation Conference , attendees can attend session that address AI-specific challenges and opportunities, such as:
- Exploring the ability of AI avatars to increase survey engagement and deliver better data quality
- Evaluating the role of emerging technologies like AI in quantitative research settings
- Utilizing generative AI for product development, testing and optimization, plus predictive AI for success prediction
- Using AI to respond to human needs, thoughts, and emotions
In addition, brand presentations by Unilever, Woolworths, Nestle, Cathay Pacific, TikTok and many others will share their insights, strategies, new methodologies and use cases, covering techniques using behavioral science, machine learning, big data, virtual reality and more. On 08 November, attendees can register for a day-long masterclass on new and breakthrough approaches in the areas of Futures and Cultural Foresight.
Throughout the three-day event, ESOMAR has also scheduled multiple networking opportunities for delegates, including a welcome reception, multiple session breaks and drinks in the exhibit hall. The Art & Science of Innovation Conference will be hosted at the award-winning Grand Copthorne Waterfront Hotel located along the picturesque Singapore River. A visa to enter Singapore may be required; check the Singaporean Government's website for details.
Clients can attend the event at a deeply discounted rate by emailing . General registration for the event is still open here:
About ESOMAR
Since 1947, ESOMAR has been the global hub for research, insights, and analytics. Reaching 50,000+ individuals, 750+ companies and 130+ countries, we are a worldwide membership organisation that empowers insights professionals and businesses to unlock their potential on both the global and local stage, fostering connections, collaboration, growth and knowledge. Driven by our core values of inclusivity, caring, innovation and trust, we have led the industry through a rapidly evolving landscape for more than 75 years. We continue our commitment to raising ethical standards, facilitating education, advocating with legislators, sharing best practices, and promoting evidence-based solutions for decision-makers.
###Gabriela Kusters
ESOMAR
email us here MENAFN10102023003118003196ID1107220896
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| ESOMAR's Art & Science Of Innovation Conference Features Leading Experts In Artificial Intelligence | ESOMARs Art Science Of Innovation Conference Features Leading Experts In Artificial Intelligence MENAFN.COM 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 ESOMARs Art Science Of Innovation Conference Features Leading Experts In Artificial Intelligence Date 10102023 1:31:10 PM Share Facebook Tweet Twitter MENAFN EIN Presswire Global organisations annual APAC conference, held 810 November Singapore, brings innovative methodologies AIdriven solutions forefront A core element ESOMARs mission organisation education, evidenced efforts connect AI experts audiences events like Art Science Innovation Conference. Ray Poynter, President, ESOMARAMSTERDAM, THE NETHERLANDS, October 10, 2023 EINPresswire ESOMAR , global community data, research insights, highlights new technologies market research methodologies Art Science Innovation Conference Singapore, 8 10 November 2023. Artificial intelligence research, data insights sector key focus years event, helping attendees learn ways pervasive technology increase engagement, predict behaviors deliver higher quality insights market research continuum. We acutely aware constituents navigating rapid evolution insights sector, change driven profound impact AI facet industry, said Ray Poynter, ESOMAR President head organisations AI Task Force.Already, ESOMAR AI Task Force working hard provide practical guidance global community surrounding issues. A core element mission organisation education, evidenced efforts connect AI experts audiences events like this. At Singapores Art Science Innovation Conference , attendees attend session address AIspecific challenges opportunities, as: Exploring ability AI avatars increase survey engagement deliver better data quality Evaluating role emerging technologies like AI quantitative research settings Utilizing generative AI product development, testing optimization, plus predictive AI success prediction Using AI respond human needs, thoughts, emotions In addition, brand presentations Unilever, Woolworths, Nestle, Cathay Pacific, TikTok share insights, strategies, new methodologies use cases, covering techniques behavioral science, machine learning, big data, virtual reality more. On 08 November, attendees register daylong masterclass new breakthrough approaches areas Futures Cultural Foresight. Throughout threeday event, ESOMAR scheduled multiple networking opportunities delegates, including welcome reception, multiple session breaks drinks exhibit hall. The Art Science Innovation Conference hosted awardwinning Grand Copthorne Waterfront Hotel located picturesque Singapore River. A visa enter Singapore required; check Singaporean Governments website details. Clients attend event deeply discounted rate emailing . General registration event open here: About ESOMAR Since 1947, ESOMAR global hub research, insights, analytics. Reaching 50,000 individuals, 750 companies 130 countries, worldwide membership organisation empowers insights professionals businesses unlock potential global local stage, fostering connections, collaboration, growth knowledge. Driven core values inclusivity, caring, innovation trust, led industry rapidly evolving landscape 75 years. We continue commitment raising ethical standards, facilitating education, advocating legislators, sharing best practices, promoting evidencebased solutions decisionmakers. 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https://missoulian.com/news/world/eu-proposes-rules-for-high-risk-artificial-intelligence-uses/article_7e7c5320-7bb8-5e11-b0c5-7b6e3607f27b.html | 2021-04-21T00:00:00 | en | EU proposes rules for high-risk artificial intelligence uses | World | missoulian.com |
EU proposes rules for high-risk artificial intelligence uses | World | missoulian.com
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EU proposes rules for high-risk artificial intelligence uses
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EU proposes rules for high-risk artificial intelligence uses
By KELVIN CHAN
AP Business Writer
Apr 21, 2021
Apr 21, 2021
Updated
5 hrs ago
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European Commissioner for Europe fit for the Digital Age Margrethe Vestager speaks during a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
European Commissioner for Europe fit for the Digital Age Margrethe Vestager, left, and European Commissioner in charge of internal market Thierry Breton participate in a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
European Commissioner in charge of internal market Thierry Breton speaks during a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
European Commissioner for Europe fit for the Digital Age Margrethe Vestager, left, and European Commissioner in charge of internal market Thierry Breton participate in a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
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By KELVIN CHAN
AP Business Writer
LONDON (AP) — European Union officials unveiled proposals Wednesday for reining in high-risk uses of artificial intelligence such as live facial scanning that could threaten people's safety or rights.The draft regulations from the EU's executive commission include rules on the use of the rapidly expanding technology in systems that filter out school, job or loan applicants. They also would ban artificial intelligence outright in a few cases considered too risky, such as “social scoring” systems that judge people based on their behavior and physical traits.The ambitious proposals are the 27-nation bloc’s latest move to maintain its role as the world’s standard-bearer for technology regulation, putting it ahead of the world's two big tech superpowers, the U.S. and China. EU officials say they are taking a “risk-based approach” as they try to balance the need to protect rights such as data privacy against the need to encourage innovation.
“With these landmark rules, the EU is spearheading the development of new global norms to make sure AI can be trusted,” Margrethe Vestager, the European Commission’s executive vice president for the digital age, said in a statement. “By setting the standards, we can pave the way for to ethical technology worldwide and ensure that the EU remains competitive along the way.”
The proposals also include a prohibition in principle on controversial “remote biometric identification,” such as the use of live facial recognition to pick people out of crowds in real time, because “there is no room for mass surveillance in our society," Vestager said in a media briefing.
There will, however, be an exception only for narrowly defined law enforcement purposes such as searching for a missing child or a wanted person or preventing a terror attack or threat. But some EU lawmakers and digital rights group called for the carve-out to be removed over fears it could be used to justify widespread future use of the intrusive technology.
The draft regulations also cover AI applications that pose “limited risk," such as chatbots which should be labeled so people know they are interacting with a machine. Most AI applications will be unaffected or covered by existing consumer protection rules.Violations could result in fines of up to 30,000 euros (more than $36,000), or for companies, up to 6% of their global annual revenue, whichever is higher, although Vestager said authorities would first ask providers to fix their AI products or remove them from the market.
The proposals still have to be debated by EU lawmakers and could be amended in a process that could take several years. They would apply to anyone that provides an artificial intelligence system in the EU or uses one that affects people in the bloc.
EU officials, trying to catch up with the Chinese and American tech industry, said the rules would encourage the industry’s growth by raising trust in artificial intelligence systems and by introducing legal clarity for companies them.Copyright 2021 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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European Commissioner for Europe fit for the Digital Age Margrethe Vestager speaks during a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
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European Commissioner for Europe fit for the Digital Age Margrethe Vestager, left, and European Commissioner in charge of internal market Thierry Breton participate in a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
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European Commissioner in charge of internal market Thierry Breton speaks during a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
Olivier Hoslet
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European Commissioner for Europe fit for the Digital Age Margrethe Vestager, left, and European Commissioner in charge of internal market Thierry Breton participate in a media conference on an EU approach to artificial intelligence, following a weekly meeting of EU Commissioners, at EU headquarters in Brussels, Wednesday, April 21, 2021.
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| EU proposes rules for high-risk artificial intelligence uses | EU proposes rules highrisk artificial intelligence uses World Skip main content Return home Please subscribe reading. You cancel time. Already subscriber? Log Activate account. Loadinghellp; No thanks, return home. Please log reading. Enjoy unlimited articles lowest prices ever. featured_button_text You permission edit article. Edit Close Log In Become Member Dashboard Logout Become Member My Account Dashboard Profile Saved items Logout News Local COVID19 Crime State Regional 406 Politics Business National World Multimedia History News Tip Obituaries Share Story Recent Obituaries Find Obituary Archives Opinion Submit Letter Letters Editorial GuestsColumnists Sports Local High School Montana Grizzlies College Professional Entertainment Arts Theatre Event Calendar Music Movies Books Television TV Listings Games Lifestyles Food Health Parenting Home Garden People Pets Faith Travel Announcements Outdoors University Montana Feast Field Partners Brand Ave. Studios Print Edition EEdition EEdition Archives Buy Sell Place Ad Jobs Homes Cars Classifieds Business Directory I Love A Deal Customer Service Manage Subscription Activate Digital Subscription Newsletter signup Help Center Mobile Apps Weather: Live Radar Facebook Twitter YouTube 2021 Lee Enterprises Join Log In Become Member Dashboard Logout Become Member My Account Dashboard Profile Saved items Logout News Obituaries Opinion Sports Entertainment Lifestyles COVID19 Buy Sell Share This Facebook Twitter WhatsApp SMS Email EU proposes rules highrisk artificial intelligence uses 0 comments Share Facebook Twitter WhatsApp SMS Email Print Save AP EU proposes rules highrisk artificial intelligence uses By KELVIN CHAN AP Business Writer Apr 21, 2021 Apr 21, 2021 Updated 5 hrs ago 0 featured_button_text 1 4 European Commissioner Europe fit Digital Age Margrethe Vestager speaks media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet European Commissioner Europe fit Digital Age Margrethe Vestager, left, European Commissioner charge internal market Thierry Breton participate media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet European Commissioner charge internal market Thierry Breton speaks media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet European Commissioner Europe fit Digital Age Margrethe Vestager, left, European Commissioner charge internal market Thierry Breton participate media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet Facebook Twitter WhatsApp SMS Email Print Save By KELVIN CHAN AP Business Writer LONDON AP European Union officials unveiled proposals Wednesday reining highrisk uses artificial intelligence live facial scanning threaten peoples safety rights.The draft regulations EUs executive commission include rules use rapidly expanding technology systems filter school, job loan applicants. They ban artificial intelligence outright cases considered risky, social scoring systems judge people based behavior physical traits.The ambitious proposals 27nation blocs latest maintain role worlds standardbearer technology regulation, putting ahead worlds big tech superpowers, U.S. China. EU officials taking riskbased approach try balance need protect rights data privacy need encourage innovation. With landmark rules, EU spearheading development new global norms sure AI trusted, Margrethe Vestager, European Commissions executive vice president digital age, said statement. By setting standards, pave way ethical technology worldwide ensure EU remains competitive way. The proposals include prohibition principle controversial remote biometric identification, use live facial recognition pick people crowds real time, room mass surveillance society, Vestager said media briefing. There will, however, exception narrowly defined law enforcement purposes searching missing child wanted person preventing terror attack threat. But EU lawmakers digital rights group called carveout removed fears justify widespread future use intrusive technology. The draft regulations cover AI applications pose limited risk, chatbots labeled people know interacting machine. Most AI applications unaffected covered existing consumer protection rules.Violations result fines 30,000 euros 36,000, companies, 6 global annual revenue, whichever higher, Vestager said authorities ask providers fix AI products remove market. The proposals debated EU lawmakers amended process years. They apply provides artificial intelligence EU uses affects people bloc. EU officials, trying catch Chinese American tech industry, said rules encourage industrys growth raising trust artificial intelligence systems introducing legal clarity companies them. 2021 The Associated Press. . This material published, broadcast, rewritten redistributed permission. 0 comments You logged react. Click reaction login. Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Locations Europe Tags Dcc Wire Business Technology Government And Politics Artificial Intelligence Computing And Information Technology Data Privacy Technology Issues Labor Unions Labor Issues Social Issues Social Affairs Watch Now: Related Video America absorbs Chauvin verdict Faith leaders hope verdict lifts justice work AP Faith leaders hope verdict lifts justice work Columbus officer shoots, kills girl holding knife AP Columbus officer shoots, kills girl holding knife AP Reporter: Chauvin showed little emotion AP AP Reporter: Chauvin showed little emotion Be know Get local news delivered inbox Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Related story Most Popular 2 World Royal goodbye: Prince Philip laid rest queen sits Updated Apr 17, 2021 Prince Philip laid rest Saturday funeral honored lifetime service country. Hs wife, Queen Elizabeth II, sat alone. 3 World Prince Philips funeral: When watch, expect queen goodbye Updated Apr 17, 2021 Heres need know Prince Philips funeral, taking place Saturday Windsor Castlewhen watch, expect, queen goodbye. World Chads president killed battlefield 30 years power, military reports Updated Apr 20, 2021 Chadian President Idriss Deby Itno, ruled central African nation decades, killed Tuesday battlefield fight rebels. 2 World Canadian lawmaker caught naked video conference Apr 15, 2021 Canadian Parliament member William Amosapologized caught naked virtual House Commons meeting. Warning: Contains image partial nudity. World Heres price cryptocurrency Dogecoin soaring alltime highs Apr 16, 2021 For second time week, cryptocurrency Dogecoin hit milestone. And time around, thanks toTesla CEO Elon Musk. World Worldwide COVID19 death toll tops 3 million Apr 17, 2021 The global death toll coronavirus topped staggering 3 million people Saturday amid repeated setbacks global vaccination campaign. 4 World How Queen goodbye Philip Updated Apr 17, 2021 Windsor Castle seen lot history Saturday different. World Mrs. Ireland named new Mrs. World onstage fracas Updated 8 hrs ago COLOMBO, Sri Lanka AP Kate Schneider Ireland named new Mrs. World reigning titleholder resigned following onstage fracas pulled crown head winner Mrs. Sri Lanka beauty ant, organizers said. World Suspected poacher trampled death elephants South Africa Apr 19, 2021 A suspected poacher trampled death herd elephants South Africas Kruger National Park Saturday. World Watch now: The funeral Britains Prince Philip Updated Apr 17, 2021 Britain world saying farewell Prince Philip Saturday. Watch live stream ofthe Duke Edinburghs funeral service here. Close 1 4 European Commissioner Europe fit Digital Age Margrethe Vestager speaks media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet Facebook Twitter WhatsApp SMS Email Print Save European Commissioner Europe fit Digital Age Margrethe Vestager, left, European Commissioner charge internal market Thierry Breton participate media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet Facebook Twitter WhatsApp SMS Email Print Save European Commissioner charge internal market Thierry Breton speaks media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet Facebook Twitter WhatsApp SMS Email Print Save European Commissioner Europe fit Digital Age Margrethe Vestager, left, European Commissioner charge internal market Thierry Breton participate media conference EU approach artificial intelligence, following weekly meeting EU Commissioners, EU headquarters Brussels, Wednesday, April 21, 2021. Olivier Hoslet Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter YouTube Sites Partners Ravalli Republic Auto Finder Missoula Public Art Guide Western Montana Wedding Magazine Newcomers Special Sections Services Us eEdition Work 2021 Missoulian, 500 S. Higgins Missoula, MT Terms Use Powered BLOX Content Management System . Notifications Settings You dont notifications. Get uptotheminute news sent straight device. Topics News Alert Breaking News | 2,021 | [
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https://monroescoop.com/uncategorized/374309/global-computer-vision-market-by-study-growth-factors-types-and-applications-with-forecasts-2020-2026/ | 2020-03-31T00:00:00 | en | Global Computer Vision Market By Study Growth Factors, Types and Applications with Forecasts 2020-2026 – Monroe Scoop |
Global Computer Vision Market By Study Growth Factors, Types and Applications with Forecasts 2020-2026 – Monroe Scoop
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Tuesday, March 31, 2020 Contact Us
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You are hereHomeGlobal NewsGlobal Computer Vision Market By Study Growth Factors, Types and Applications with Forecasts 2020-2026
Global Computer Vision Market By Study Growth Factors, Types and Applications with Forecasts 2020-2026
March 31, 2020 alex
The “Computer Vision Market” comprehensively might be a champion among the chief emanant and astoundingly affirmed parts. This overall market has been creating at a superior pace with the occasion of innovative systems and a creating end-customer inclination.
Computer Vision market reports convey knowledge and master examination into key customer patterns and conduct in commercial center, also to an outline of the market information and key brands. This market reports gives all information effectively absorbable data to manage each specialist’s future development and push business ahead.
Request Sample Report @https://www.globalmarketers.biz/report/technology-and-media/global-computer-vision-industry-market-research-report/26518#request_sample
The overall Computer Vision market is an augmenting field for top market players.
Intel Corporation
Cisco Systems
Blippar
Basler AG
Infineon Technologies Inc.
Image Metrics Inc.
Unity Technologies
Orbital Insight
Rethink Robotics
Microsoft Corporation
Image Sensing Systems Inc.
NVIDIA Corporation
Mobileye N.V.
Spotify
DATAIKU
Facebook Inc.
Occipital
General Electric Company
Denso Corporation
Gazemetrix
Daimler AG
Every one of those market players are profiled during this report considering parameters like organization review, money related diagram, business methodologies, item portfolio and modern improvements.
This Computer Vision report starts with an essential review of the market. The examination features the opportunity and industry slants that are affected the market that is worldwide. Players around different areas and investigation of each industry measurements are secured under this report. The examination likewise contains a significant understanding with respect to the things which are driving and influencing the income of the market. The Computer Vision report contains segments together side scene which explains activities like endeavor and acquisitions and mergers.
Make an Inquiry About This Report @https://www.globalmarketers.biz/report/technology-and-media/global-computer-vision-industry-market-research-report/26518#inquiry_before_buying
Market by Type:-
Automotive
Sports & Entertainments
Consumer
Robotics
Medical
Security
Others
Market by Application:–
Hardware
Software
Services
The Report offers SWOT assessment and adventure return examination, and different perspectives like the standard region, financial circumstances with advantage, age, demand, breaking point, supply, and market advancement rate and figure.
Quantifiable information:-
• Market Data Breakdown by Key Geography, Type and Application/End-User
• By type (past and gauge)
• Computer Vision Market-Specific Applications Sales and Growth Rates (Historical and Forecast)
• Computer Vision income and pace of development by the market (history and gauge)
• Computer Vision market size and pace of development , application and sort (past and gauge)
Topographically, this report considers the most noteworthy makers and shoppers, centers around item:
limit, creation, esteem, utilization, piece of the overall industry and development opportunity in these key locales, covering North America, Europe, China, Japan, Southeast Asia , India
Research targets and Reason to obtain this report:-
To examine and dissect the overall utilization (esteem and volume) by key districts/nations, item type, and application, history information from 2020, and estimate to 2026.
To comprehend the structure of Computer Vision Market by distinguishing its different sub-fragments.
To all the more likely comprehend the business chiefs/makers, by laying out and dissecting their business volume, esteem, piece of the overall industry, advertise rivalry scene, SWOT investigation and advancement designs inside the not so distant future.
To get thorough data about the key components affecting the market development (openings, drivers, industry-explicit difficulties and dangers).
To examine serious advancements like extensions, understandings, new item dispatches, and acquisitions, mergers inside the market.
To deliberately plot the key players inside the market and broadly dissect their development procedures.
At last, the overall Computer Vision market gives a total research choice and furthermore segment possibility of interest in new activities will be surveyed. Computer Vision industry might be a wellspring of means and direction for associations and people inquisitive about their market profit.
Request Detailed Table Of Content With Table Of Figures @https://www.globalmarketers.biz/report/technology-and-media/global-computer-vision-industry-market-research-report/26518#table_of_contents
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| Global Computer Vision Market By Study Growth Factors, Types and Applications with Forecasts 2020-2026 | Global Computer Vision Market By Study Growth Factors, Types Applications Forecasts 20202026 Monroe Scoop Skip content Tuesday, March 31, 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 NewsGlobal Computer Vision Market By Study Growth Factors, Types Applications Forecasts 20202026 Global Computer Vision Market By Study Growth Factors, Types Applications Forecasts 20202026 March 31, 2020 alex The Computer Vision Market comprehensively champion chief emanant astoundingly affirmed parts. This overall market creating superior pace occasion innovative systems creating endcustomer inclination. Computer Vision market reports convey knowledge master examination key customer patterns conduct commercial center, outline market information key brands. This market reports gives information effectively absorbable data manage specialists future development push business ahead. Request Sample Report The overall Computer Vision market augmenting field market players. Intel Corporation Cisco Systems Blippar Basler AG Infineon Technologies . Image Metrics . Unity Technologies Orbital Insight Rethink Robotics Microsoft Corporation Image Sensing Systems . NVIDIA Corporation Mobileye N.V. Spotify DATAIKU Facebook . Occipital General Electric Company Denso Corporation Gazemetrix Daimler AG Every market players profiled report considering parameters like organization review, money related diagram, business methodologies, item portfolio modern improvements. This Computer Vision report starts essential review market. The examination features opportunity industry slants affected market worldwide. Players different areas investigation industry measurements secured report. The examination likewise contains significant understanding respect things driving influencing income market. The Computer Vision report contains segments scene explains activities like endeavor acquisitions mergers. Make Inquiry About This Report Market Type: Automotive Sports Entertainments Consumer Robotics Medical Security Others Market Application: Hardware Software Services The Report offers SWOT assessment adventure return examination, different perspectives like standard region, financial circumstances advantage, age, demand, breaking point, supply, market advancement rate figure. Quantifiable information: Market Data Breakdown Key Geography, Type ApplicationEndUser By type past gauge Computer Vision MarketSpecific Applications Sales Growth Rates Historical Forecast Computer Vision income pace development market history gauge Computer Vision market size pace development , application sort past gauge Topographically, report considers noteworthy makers shoppers, centers item: limit, creation, esteem, utilization, piece overall industry development opportunity key locales, covering North America, Europe, China, Japan, Southeast Asia , India Research targets Reason obtain report: To examine dissect overall utilization esteem volume key districtsnations, item type, application, history information 2020, estimate 2026. To comprehend structure Computer Vision Market distinguishing different subfragments. To likely comprehend business chiefsmakers, laying dissecting business volume, esteem, piece overall industry, advertise rivalry scene, SWOT investigation advancement designs inside distant future. To thorough data key components affecting market development openings, drivers, industryexplicit difficulties dangers. To examine advancements like extensions, understandings, new item dispatches, acquisitions, mergers inside market. To deliberately plot key players inside market broadly dissect development procedures. At last, overall Computer Vision market gives total research choice furthermore segment possibility new activities surveyed. Computer Vision industry wellspring means direction associations people inquisitive market profit. 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https://monroescoop.com/uncategorized/69116/machine-learning-market-to-see-major-growth-by-2026/ | 2020-05-10T00:00:00 | en | Machine Learning Market to See Major Growth By 2026 – Monroe Scoop |
Machine Learning Market to See Major Growth By 2026 – Monroe Scoop
Skip to content
Sunday, May 10, 2020 Contact Us
About Us
Monroe Scoop
Industry Analytics and Market News
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Analysis Forecast
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You are hereHomeGlobal NewsMachine Learning Market to See Major Growth By 2026
Machine Learning Market to See Major Growth By 2026
May 10, 2020 Navanath R
New Jersey, United States,- The Machine Learning Market is well prepared, focusing on the competitive landscape, geographic growth, segmentation and market dynamics, including drivers, constraints and opportunities. It highlights key production, sales and consumption trends so players can improve their sales and growth in the Machine Learning Market. It offers a detailed analysis of the competition and the leading companies in the Machine Learning Market. Here it focuses on the latest developments, sales, market values, production, gross margin and other important factors in the business of top players operating in the Machine Learning Market.
Global Machine Learning Market was valued at USD 2.03 Billion in 2018 and is projected to reach USD 37.43 Billion by 2026, growing at a CAGR of 43.9% from 2019 to 2026.
Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=6487&utm_source=MSN&utm_medium=005
The various contributors to the value chain in the Machine Learning Market include manufacturers:
Amazon Web Services
Fair Isaac Corporation
Google
Hewlett Packard Enterprise
IBM Corporation
Microsoft Corporation
SAP SE
BigML
H2O.ai and SAS Institute
With a comprehensive quantitative and qualitative analysis, the report offers an encyclopedic and accurate research study on important aspects of the Machine Learning Market. It shows key factors that influence the growth of various segments and regions in the Machine Learning Market. It also offers SWOT, Porter’s Five Forces and PESTLE analyzes to thoroughly examine the Machine Learning Market. It contains a detailed study of manufacturing costs, upstream and downstream buyers, dealers, marketing strategies and development trends for marketing channels in the Machine Learning Market. It also provides strategic advice and recommendations for players to ensure success in the Machine Learning Market.
Ask for Discount @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=6487&utm_source=MSN&utm_medium=005
Table of Contents:
Overview: The report begins with an overview of the Machine Learning Market, in which the authors discuss the scope of the products, type and application segments as well as the regional markets. This section also contains highlights of the market size analysis.
Competition by manufacturers: Here, the analysts give the production share, the share of sales and the average price of the manufacturers for the reporting period 2014-2019. Readers are also provided with details on products, areas served and production facilities by manufacturers. This section contains another chapter that highlights various competitive situations and trends.
Share of production by region: This section shows the gross margin, price, production and revenue of all regional markets examined in the report.
Key players: Each player profiled in the report is rated for market growth based on served markets, core business, price, sales, gross margin, production, manufacturing locations, served areas and other factors.
Production cost analysis: It includes the analysis of the main raw materials, the analysis of the production cost structure, the analysis of the manufacturing process and the analysis of the industrial chain.
Market forecast: It includes the price and trend forecast, the sales and growth rate forecast and the forecast of the production growth rate of the global and regional markets for the forecast period 2019-2026.
Finally, the Machine Learning Market offers a general conclusion of research and the feasibility of investing in new projects is assessed. The Machine Learning Market is a valuable guide for individuals and companies interested in selling the market.
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| Machine Learning Market to See Major Growth By 2026 | Machine Learning Market See Major Growth By 2026 Monroe Scoop Skip content Sunday, May 10, 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 NewsMachine Learning Market See Major Growth By 2026 Machine Learning Market See Major Growth By 2026 May 10, 2020 Navanath R New Jersey, United States, The Machine Learning Market prepared, focusing competitive landscape, geographic growth, segmentation market dynamics, including drivers, constraints opportunities. It highlights key production, sales consumption trends players improve sales growth Machine Learning Market. It offers detailed analysis competition leading companies Machine Learning Market. Here focuses latest developments, sales, market values, production, gross margin important factors business players operating Machine Learning Market. Global Machine Learning Market valued USD 2.03 Billion 2018 projected reach USD 37.43 Billion 2026, growing CAGR 43.9 2019 2026. Get Download Sample Copy @ The contributors value chain Machine Learning Market include manufacturers: Amazon Web Services Fair Isaac Corporation Google Hewlett Packard Enterprise IBM Corporation Microsoft Corporation SAP SE BigML H2O.ai SAS Institute With comprehensive quantitative qualitative analysis, report offers encyclopedic accurate research study important aspects Machine Learning Market. It shows key factors influence growth segments regions Machine Learning Market. It offers SWOT, Porters Five Forces PESTLE analyzes thoroughly examine Machine Learning Market. It contains detailed study manufacturing costs, upstream downstream buyers, dealers, marketing strategies development trends marketing channels Machine Learning Market. It provides strategic advice recommendations players ensure success Machine Learning Market. Ask Discount @ Table Contents: Overview: The report begins overview Machine Learning Market, authors discuss scope products, type application segments regional markets. This section contains highlights market size analysis. Competition manufacturers: Here, analysts production share, share sales average price manufacturers reporting period 20142019. Readers provided details products, areas served production facilities manufacturers. This section contains chapter highlights competitive situations trends. Share production region: This section shows gross margin, price, production revenue regional markets examined report. Key players: Each player profiled report rated market growth based served markets, core business, price, sales, gross margin, production, manufacturing locations, served areas factors. Production cost analysis: It includes analysis main raw materials, analysis production cost structure, analysis manufacturing process analysis industrial chain. Market forecast: It includes price trend forecast, sales growth rate forecast forecast production growth rate global regional markets forecast period 20192026. Finally, Machine Learning Market offers general conclusion research feasibility investing new projects assessed. The Machine Learning Market valuable guide individuals companies interested selling market. Receive custom report inbox 24 hours @ : Verified market research partners clients provide insight strategic growth analytics; data help achieve business goals targets. Our core values include trust, integrity, authenticity clients. Analysts high expertise data gathering governance utilize industry techniques collate examine data stages. Our analysts trained combine modern data collection techniques, superior research methodology, subject expertise years collective experience produce informative accurate research reports. Us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] TAGS: Machine Learning Market Size, Machine Learning Market Growth, Machine Learning Market Forecast, Machine Learning Market Analysis, Machine Learning Market Trends, Machine Learning Market Post navigation Airway Management Devices Market: Value Chain, Dynamics Key Players 2018 2028Global Fuel Injection System Market 2020 Competitive Analysis Carter Fuel Systems, Kinsler Fuel Injection Related posts Fuel Antistat Market See Major Growth By 2026 May 10, 2020 Navanath R New Jersey, United States, The Fuel Antistat Market prepared, focusing competitive landscape,... PU Films Market See Major Growth By 2026 May 10, 2020 Navanath R New Jersey, United States, The PU Films Market prepared, focusing competitive landscape,... Barley Market Report Actionable Insights Recommendation 2016 2026 May 10, 2020 [emailprotected]Barley, Barley Industry, Barley Market, Barley Market Intelligence, China Barley Market Trend, Europe Barley Market Growth, UK Barley Market, US Barley Market CAGR Barley Market Segmentation The Barley Market intrinsic study current status this... Leave Comment Cancel reply Recent Posts Fuel Antistat Market See Major Growth By 2026 PU Films Market See Major Growth By 2026 Barley Market Report Actionable Insights Recommendation 2016 2026 3D Food Printing Market See Major Growth By 2026 Medical Device Security Market See Major Growth By 2026 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes | 2,020 | [
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https://mspoweruser.com/did-googles-bard-ai-tool-just-commit-its-first-error-in-a-demo/ | 2023-02-08T00:00:00 | en | Did Google's Bard AI tool just commit its first error in a demo? | Did Google's Bard AI tool just commit its first error in a demo? Windows 11 Windows 10 Gaming Smartphones Surface MSPU-Youtube Did Google’s Bard AI tool just commit its first error in a demo?February 8, 2023 Share 0 Author Sharron Bennet // in AI, Bing, Google, Microsoft, News Google is now moving to compete with Microsoft-backed ChatGPT technology. This week, Google introduced its “experimental conversational AI service” called Bard, which is powered by Language Model for Dialogue Applications (LaMDA). The company said Bard would offer users “fresh” responses by sourcing information from the web. Despite this, the tool seemed to have already committed its first error by providing inaccurate details, as seen in the demo clip shared by Google itself.Bard is an experimental conversational AI service, powered by LaMDA. Built using our large language models and drawing on information from the web, it’s a launchpad for curiosity and can help simplify complex topics ? https://t.co/fSp531xKy3 pic.twitter.com/JecHXVmt8l— Google (@Google) February 6, 2023Google and Alphabet CEO Sundar Pichai shared the news about Bard on Monday and said that the company would first release it to a limited number of trusted testers before giving the public access to the tech in the coming weeks.“We’re releasing it initially with our lightweight model version of LaMDA,” said Pichai. “This much smaller model requires significantly less computing power, enabling us to scale to more users, allowing for more feedback. We’ll combine external feedback with our own internal testing to make sure Bard’s responses meet a high bar for quality, safety and groundedness in real-world information. We’re excited for this phase of testing to help us continue to learn and improve Bard’s quality and speed.” Just like Microsoft’s move to include ChatGPT in Bing, Google intends to integrate the technology into its Google Search engine, which will also deliver new search desktop designs. “Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner,” said Pichai. “These new AI features will begin rolling out on Google Search soon.”The entrance of Bard will introduce a feature called the “Apprentice Bard,” a chatbot that will allow conversational interactions between a user and the tech through topic-related questions. Additionally, Pichai noted that Bard would use Google’s language models and current information from the web, allowing up-to-date information.“Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models,” explained Pichai.” It draws on information from the web to provide fresh, high-quality responses.”Currently, this characteristic is the weakness of the actual ChatGPT chatbot. Its ability to provide information is limited since its training is only up to 2021 data. Nonetheless, ChatGPT’s integration into Bing now allows the tech to provide more recent information and cite the sources. That said, while Bard and ChatGPT’s battle in search engine content could be considered equal, it’s different for the two tech’s chatbot performances.Unfortunately a simple google search would tell us that JWST actually did not "take the very first picture of a planet outside of our own solar system" and this is literally in the ad for Bard so I wouldn't trust it yet https://t.co/OS8AMyLQRu— Isabel Angelo (@IsabelNAngelo) February 7, 2023 There are still no clear confirmations of the exact capabilities of Bard, but Pichai’s announcement indicates the company’s dedication to making it as flawless as possible. AI chatbot techs are known for producing inevitable errors and unpleasant responses, and Bard has already shown it, as pointed out by a Twitter user named Isabel Angelo. In one of the Bard demo previews in Pichai’s blog post, Bard provides details about “new discoveries from NASA’s James Webb Space Telescope.” Angelo, however, pointed out that the tool included an error in its content.“Unfortunately a simple Google Search would tell us that JWST actually did not ‘take the very first picture of a planet outside of our own Solar System’ and this is literally in the ad for Bard so I wouldn’t trust it yet,” said Angelo, an astrophysics Ph.D. student.Some believed that the mistake happened as Google tried to outrun Microsoft, which recently uncovered its new Bing engine powered by ChatGPT. And while the Microsoft-backed tech is also far from perfect, some pointed out how rushing things negatively affected Bard’s image.“Rushed feature is rushed,” commented one user on the thread. “Google is feeling the pressure. Unlike them to not vet things they publicize better than this.” “That’s so funny, they must have rushed the hell out of the video release to beat Microsoft,” said another user. Previous Next {"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"} Search recent postsMeta announces new features for WhatsApp statusMicrosoft starts rolling out new ChatGPT-powered Bing for everyone, but there is a catchEverything you need to know about the new ChatGPT-powered BingDid Google’s Bard AI tool just commit its first error in a demo?Forgot iPhone Passcode: 3 Useful Ways to Fix it Without RestoreMicrosoft will soon let you create your own chatbot using ChatGPT tech – report As an Amazon Associate MSpoweruser.com earns commission from qualifying purchases.About Us | Privacy | Contact Us__CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"f3080":{"name":"Main Accent","parent":-1},"f2bba":{"name":"Main Light 10","parent":"f3080"},"trewq":{"name":"Main Light 30","parent":"f3080"},"poiuy":{"name":"Main Light 80","parent":"f3080"},"f83d7":{"name":"Main Light 80","parent":"f3080"},"frty6":{"name":"Main Light 45","parent":"f3080"},"flktr":{"name":"Main Light 80","parent":"f3080"}},"gradients":[]},"palettes":[{"name":"Default","value":{"colors":{"f3080":{"val":"var(--tcb-skin-color-22)"},"f2bba":{"val":"rgba(255, 255, 255, 0.5)","hsl_parent_dependency":{"h":0,"l":1,"s":0}},"trewq":{"val":"rgba(255, 255, 255, 0.7)","hsl_parent_dependency":{"h":0,"l":1,"s":0}},"poiuy":{"val":"rgba(255, 255, 255, 0.35)","hsl_parent_dependency":{"h":0,"l":1,"s":0}},"f83d7":{"val":"rgba(255, 255, 255, 0.4)","hsl_parent_dependency":{"h":0,"l":1,"s":0}},"frty6":{"val":"rgba(255, 255, 255, 0.2)","hsl_parent_dependency":{"h":0,"l":1,"s":0}},"flktr":{"val":"rgba(255, 255, 255, 0.8)","hsl_parent_dependency":{"h":0,"l":1,"s":0}}},"gradients":[]},"original":{"colors":{"f3080":{"val":"rgb(23, 23, 22)","hsl":{"h":60,"s":0.02,"l":0.09}},"f2bba":{"val":"rgba(23, 23, 22, 0.5)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.5}},"trewq":{"val":"rgba(23, 23, 22, 0.7)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.7}},"poiuy":{"val":"rgba(23, 23, 22, 0.35)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.35}},"f83d7":{"val":"rgba(23, 23, 22, 0.4)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.4}},"frty6":{"val":"rgba(23, 23, 22, 0.2)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.2}},"flktr":{"val":"rgba(23, 23, 22, 0.8)","hsl_parent_dependency":{"h":60,"s":0.02,"l":0.09,"a":0.8}}},"gradients":[]}}]}__CONFIG_colors_palette__ Copyright 2023 MSpoweruser, all rights reserved. Not associated with [email protected] | Did Google's Bard AI tool just commit its first error in a demo? | Did Googles Bard AI tool commit error demo? Windows 11 Windows 10 Gaming Smartphones Surface MSPUYoutube Did Googles Bard AI tool commit error demo?February 8, 2023 Share 0 Author Sharron Bennet AI, Bing, Google, Microsoft, News Google moving compete Microsoftbacked ChatGPT technology. This week, Google introduced experimental conversational AI service called Bard, powered Language Model Dialogue Applications LaMDA. The company said Bard offer users fresh responses sourcing information web. Despite this, tool committed error providing inaccurate details, seen demo clip shared Google itself.Bard experimental conversational AI service, powered LaMDA. Built large language models drawing information web, launchpad curiosity help simplify complex topics ? pic.JecHXVmt8l Google February 6, 2023Google Alphabet CEO Sundar Pichai shared news Bard Monday said company release limited number trusted testers giving public access tech coming weeks.Were releasing initially lightweight model version LaMDA, said Pichai. This smaller model requires significantly computing power, enabling scale users, allowing feedback. Well combine external feedback internal testing sure Bards responses meet high bar quality, safety groundedness realworld information. Were excited phase testing help continue learn improve Bards quality speed. Just like Microsofts include ChatGPT Bing, Google intends integrate technology Google engine, deliver new search desktop designs.Soon, youll AIpowered features distill complex information multiple perspectives easytodigest formats, quickly understand big picture learn web: thats seeking additional perspectives, like blogs people play piano guitar, going deeper related topic, like steps started beginner, said Pichai. These new AI features begin rolling Google soon.The entrance Bard introduce feature called Apprentice Bard, chatbot allow conversational interactions user tech topicrelated questions. Additionally, Pichai noted Bard use Googles language models current information web, allowing uptodate information.Bard seeks combine breadth worlds knowledge power, intelligence creativity large language models, explained Pichai. It draws information web provide fresh, highquality responses.Currently, characteristic weakness actual ChatGPT chatbot. Its ability provide information limited training 2021 data. Nonetheless, ChatGPTs integration Bing allows tech provide recent information cite sources. That said, Bard ChatGPTs battle search engine content considered equal, different techs chatbot performances.Unfortunately simple google search tell JWST actually picture planet outside solar literally ad Bard I wouldnt trust Isabel Angelo February 7, 2023 There clear confirmations exact capabilities Bard, Pichais announcement indicates companys dedication making flawless possible. AI chatbot techs known producing inevitable errors unpleasant responses, Bard shown it, pointed Twitter user named Isabel Angelo. In Bard demo previews Pichais blog post, Bard provides details new discoveries NASAs James Webb Space Telescope. Angelo, however, pointed tool included error content.Unfortunately simple Google tell JWST actually picture planet outside Solar System literally ad Bard I wouldnt trust yet, said Angelo, astrophysics Ph.D. student.Some believed mistake happened Google tried outrun Microsoft, recently uncovered new Bing engine powered ChatGPT. And Microsoftbacked tech far perfect, pointed rushing things negatively affected Bards image.Rushed feature rushed, commented user thread. Google feeling pressure. Unlike vet things publicize better this. Thats funny, rushed hell video release beat Microsoft, said user. Previous Next email:Email address invalid,url:Website address invalid,required:Required field missing recent postsMeta announces new features WhatsApp statusMicrosoft starts rolling new ChatGPTpowered Bing everyone, catchEverything need know new ChatGPTpowered BingDid Googles Bard AI tool commit error demo?Forgot iPhone Passcode: 3 Useful Ways Fix Without RestoreMicrosoft soon let create chatbot ChatGPT tech report As Amazon Associate earns commission qualifying purchases. 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https://murphyshockeylaw.net/uncategorized/2262615/new-report-explored-global-artificial-intelligence-as-a-service-market-demand-would-increase-rapidly-by-2026-covid19-impact-analysis-inforgrowth/ | 2021-02-12T00:00:00 | en | New Report Explored Global Artificial Intelligence as a Service Market Demand Would Increase Rapidly by 2026 | COVID19 Impact Analysis | InForGrowth – Murphy's Hockey Law |
New Report Explored Global Artificial Intelligence as a Service Market Demand Would Increase Rapidly by 2026 | COVID19 Impact Analysis | InForGrowth – Murphy's Hockey Law
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New Report Explored Global Artificial Intelligence as a Service Market Demand Would Increase Rapidly by 2026 | COVID19 Impact Analysis | InForGrowth
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By basavraj.t
Post date
February 12, 2021
The report titled Artificial Intelligence as a Service Market: Size, Trends and Forecasts (2021-2026)”, delivers an in-depth analysis of the Artificial Intelligence as a Service market by value, by production capacity, by companies, by applications, by segments, by region, etc.
The report assesses the key opportunities in the market and outlines the factors that are and will be driving the growth of the Artificial Intelligence as a Service industry. Growth of the overall Artificial Intelligence as a Service market has also been forecasted for the period 2018-2022, taking into consideration the previous growth patterns, the growth drivers and the current and future trends.
Get Free Exclusive Sample copy on Artificial Intelligence as a Service Market is available at https://inforgrowth.com/sample-request/6442282/artificial-intelligence-as-a-service-market
Impact of COVID-19:
Artificial Intelligence as a Service Market report analyses the impact of Coronavirus (COVID-19) on the Artificial Intelligence as a Service industry.Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Artificial Intelligence as a Service market in 2021.
The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.
COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.
Buy Now this Report and Get Free COVID-19 Impact Analysis https://inforgrowth.com/purchase/6442282/artificial-intelligence-as-a-service-market
The research report segments the market from a relevancy perspective into the below segments and sub-segments with the quantitative analysis done from 2017 to 2026 considering 2019 as the base year for the research. Compounded Annual Growth Rate (CAGR) for each respective segment and sub-segment is calculated for the forecast period from 2019 to 2026 to provide a reference for growth potential.
Artificial Intelligence as a Service market segmented on the basis of Product Type:
Machine Learning (ML) and Deep Learning
Natural Language Processing (NLP)
Artificial Intelligence as a Service market segmented on the basis of Application:
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
The major players profiled in this report include:
Machine Learning (ML) and Deep Learning
Natural Language Processing (NLP)
Get Chance of 20% Extra Discount, If your Company is Listed in Above Key Players List;https://inforgrowth.com/discount/6442282/artificial-intelligence-as-a-service-market
Industrial Analysis of Artificial Intelligence as a Service Market:
Regional Coverage of the Artificial Intelligence as a Service Market:
Europe
Asia and the Middle East
North America
Latin America
Industrial Analysis of Artificial Intelligence as a Service Market:
Reasons to Purchase Artificial Intelligence as a Service Market Research Report
Develop a competitive strategy based on the competitive landscape
Build business strategy by identifying the high growth and attractive Artificial Intelligence as a Service market categories
Identify potential business partners, acquisition targets and business buyers
Design capital investment strategies based on forecasted high potential segments
Prepare management and strategic presentations using the Artificial Intelligence as a Service market data
Plan for a new product launch and inventory in advance
FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite # 104, Dublin, CA 94568, USA Contact Name: Rohan S. Email:[email protected] Phone: US: +1-909-329-2808 UK: +44 (203) 743 1898
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| New Report Explored Global Artificial Intelligence as a Service Market Demand Would Increase Rapidly by 2026 | New Report Explored Global Artificial Intelligence Service Market Demand Would rease Rapidly 2026 COVID19 Impact Analysis InForGrowth Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News New Report Explored Global Artificial Intelligence Service Market Demand Would rease Rapidly 2026 COVID19 Impact Analysis InForGrowth Post author By basavraj.t Post date February 12, 2021 The report titled Artificial Intelligence Service Market: Size, Trends Forecasts 20212026, delivers indepth analysis Artificial Intelligence Servicemarket value, production capacity, companies, applications, segments, region, etc. The report assesses key opportunities market outlines factors driving growth Artificial Intelligence Serviceindustry. Growth overall Artificial Intelligence Servicemarket forecasted period 20182022, taking consideration previous growth patterns, growth drivers current future trends. Get Free Exclusive Sample copy Artificial Intelligence Service Market available Impact COVID19: Artificial Intelligence ServiceMarket report analyses impact Coronavirus COVID19 Artificial Intelligence Serviceindustry.Since COVID19 virus outbreak December 2019, disease spread 180 countries globe World Health Organization declaring public health emergency. The global impacts coronavirus disease 2019 COVID19 starting felt, significantly affect Artificial Intelligence Servicemarket 2021. The outbreak COVID19 brought effects aspects, like flight cancellations; travel bans quarantines; restaurants closed; indoor events restricted; emergency declared countries; massive slowing supply chain; stock market unpredictability; falling business assurance, growing panic population, uncertainty future. COVID19 affect global economy 3 main ways: directly affecting production demand, creating supply chain market disturbance, financial impact firms financial markets. Buy Now Report Get Free COVID19 Impact Analysis The research report segments market relevancy perspective segments subsegments quantitative analysis 2017 2026 considering 2019 base year research. Compounded Annual Growth Rate CAGR respective segment subsegment calculated forecast period 2019 2026 provide reference growth potential. Artificial Intelligence Servicemarket segmented basis Product Type: Machine Learning ML Deep Learning Natural Language Processing NLP Artificial Intelligence Servicemarket segmented basis Application: Large Enterprises Small Mediumsized Enterprises SMEs The major players profiled report include: Machine Learning ML Deep Learning Natural Language Processing NLP Get Chance 20 Extra Discount, If Company Listed Above Key Players List; Industrial Analysis Artificial Intelligence Service Market: Regional Coverage Artificial Intelligence ServiceMarket: Europe Asia Middle East North America Latin America Industrial Analysis Artificial Intelligence Service Market: Reasons Purchase Artificial Intelligence ServiceMarket Research Report Develop competitive strategy based competitive landscape Build business strategy identifying high growth attractive Artificial Intelligence Service market categories Identify potential business partners, acquisition targets business buyers Design capital investment strategies based forecasted high potential segments Prepare management strategic presentations Artificial Intelligence Service market data Plan new product launch inventory advance 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: US: 19093292808 UK: 44 203 743 1898 Tags Artificial intelligence service, Artificial Intelligence Service Industry, Artificial Intelligence Service Market Plastic Market Size Business Overview, Challenges, Opportunities 2027 for: Recent Posts New Report Explored Global Artificial Intelligence Service Market Demand Would rease Rapidly 2026 COVID19 Impact Analysis InForGrowth Plastic Market Size Business Overview, Challenges, Opportunities 2027 20212026 Soil Stabilization Market Global Analysis, Modeling, Risk Factors, Growth Strategies, Drivers, Dynamics, Forecast COVID19 Impact Analysis InForGrowth Wool ProteinEMEA Market Size Business Overview, Challenges, Opportunities 2027 OneSide Coated Paper Market Size Business Overview, Challenges, Opportunities 2027 2021 Murphys Hockey Law Powered WordPress To Up | 2,021 | [
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Overview of Artificial Intelligence and Robotics in Aerospace and Defense Market Sales, Supply & Demand Analysis
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By alex
Post date
August 10, 2021
Global Marketers has published an innovative statistics of the market titled as “Artificial Intelligence and Robotics in Aerospace and Defense Market: Global Industry Analysis 2020-2027”.
Global Artificial Intelligence and Robotics in Aerospace and Defense Market 2020 Industry Research Report offers you market size, industry growth, share, investment plans and strategies, development trends, business idea and forecasts to 2027. The report highlights the exhaustive study of the major market along with present and forecast market scenario with useful business decisions.
Artificial Intelligence and Robotics in Aerospace and Defense business report includes primary research together with the all-inclusive investigation of subjective as well as quantitative perspectives by different industry specialists, key supposition pioneers to gain a more profound understanding of the industry execution. [Request The COVID – 19 Impact On This Market]. The report gives the sensible picture of the current industrial situation which incorporates authentic and anticipated market estimate in terms of value and volume, technological advancement, macroeconomic and governing factors in the market.
Top Key Manufacturers of Artificial Intelligence and Robotics in Aerospace and Defense industry Report:-
Intel Corporation
The Boeing Company
Lockheed Martin Corporation
Airbus SE
SITA
IBM
Nvidia Corporation
General Electric
Iris Automation Inc.
Thales SA
Get FREE Sample PDF Copy of the Report: https://www.globalmarketers.biz/report/others/2015-2027-global-artificial-intelligence-and-robotics-in-aerospace-and-defense-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/147616#request_sample
(*Our FREE SAMPLE COPY of the report gives a brief introduction to the research report outlook, TOC, list of tables and figures, an outlook to key players of the market and comprising key regions.*)
The report offers a multi-step view of the Global Artificial Intelligence and Robotics in Aerospace and Defense Market. The second subdivision of the report includes analytics on the Global Artificial Intelligence and Robotics in Aerospace and Defense Market based on its revenue size in terms of value and volume.
Artificial Intelligence and Robotics in Aerospace and Defense Market Segmentation Analysis:-
Global Artificial Intelligence and Robotics in Aerospace and Defense market segmentation, by solution: Biological, Chemical, Mechanical, Global Artificial Intelligence and Robotics in Aerospace and Defense market segmentation, by product: Stress Protection, Scarification, Pest Protection
Artificial Intelligence and Robotics in Aerospace and Defense Market Regional Analysis:- North America (United States, Canada), Europe (Germany, Spain, France, UK, Russia, and Italy), Asia-Pacific (China, Japan, India, Australia, and South Korea), Latin America (Brazil, Mexico, etc.), The Middle East and Africa (GCC and South Africa).
Market segment by Types,
Hardware
Software
Service
Market segment by Applications,
Military
Commercial Aviation
Space
We have designed the Artificial Intelligence and Robotics in Aerospace and Defense report with a group of graphical representations, tables, and figures which portray a detailed picture of Artificial Intelligence and Robotics in Aerospace and Defense industry. In addition, the report has a clear objective to mark probable shareholders of the company. Highlighting business chain framework explicitly offers an executive summary of market evolution. Thus it becomes easy to figure out the obstacles and uplifting profit stats. In accordance with a competitive prospect, this Artificial Intelligence and Robotics in Aerospace and Defense report dispenses a broad array of features essential for measuring the current Artificial Intelligence and Robotics in Aerospace and Defense market performance along with technological advancements, business abstract, strengths and weaknesses of market position and hurdles crossed by the leading Artificial Intelligence and Robotics in Aerospace and Defense market players to gain leading position.
Get a Customized report here: https://www.globalmarketers.biz/report/others/2015-2027-global-artificial-intelligence-and-robotics-in-aerospace-and-defense-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/147616#inquiry_before_buying
Some Notable Report Offerings:
– We will give you an assessment of the extent to which the market acquire commercial characteristics along with examples or instances of information that helps your assessment.
– We will also support to identify standard/customary terms and conditions such as discounts, warranties, inspection, buyer financing, and acceptance for the Artificial Intelligence and Robotics in Aerospace and Defense industry.
– We will further help you in finding any price ranges, pricing issues, and determination of price fluctuation of products in Artificial Intelligence and Robotics in Aerospace and Defense industry.
– Furthermore, we will help you to identify any crucial trends to predict Artificial Intelligence and Robotics in Aerospace and Defense market growth rate up to 2027.
– Lastly, the analyzed report will predict the general tendency for supply and demand in the Artificial Intelligence and Robotics in Aerospace and Defense market.
Report Table of Content Overview Gives Exact Idea About International Artificial Intelligence and Robotics in Aerospace and Defense Market Report:
Chapter 1 describes Artificial Intelligence and Robotics in Aerospace and Defense report important market inspection, product cost structure, and analysis, Artificial Intelligence and Robotics in Aerospace and Defense market size and scope forecast from 2019 to 2027. Although, Artificial Intelligence and Robotics in Aerospace and Defense market gesture, factors affecting the expansion of business also deep study of arise and existing market holders.
Chapter 2 display top manufacturers of Artificial Intelligence and Robotics in Aerospace and Defense market with sales and revenue and market share. Furthermore, report analyses the import and export scenario of industry, demand and supply ratio, labor cost, raw material supply, production cost, marketing sources, and downstream consumers of market.
Chapter 3, 4, 5 analyses Artificial Intelligence and Robotics in Aerospace and Defense report competitive analysis based on product type, their region wise depletion and import/export analysis, the composite annual growth rate of market and foretell study from 2019 to 2027.
Chapter 6 gives an in-depth study of Artificial Intelligence and Robotics in Aerospace and Defense business channels, market sponsors, vendors, dispensers, merchants, market openings and risk.
Chapter 7 gives Artificial Intelligence and Robotics in Aerospace and Defense market Research Discoveries and Conclusion
Chapter 8 gives Artificial Intelligence and Robotics in Aerospace and Defense Appendix
To Analyze Details Of Table Of Content (TOC) of Artificial Intelligence and Robotics in Aerospace and Defense Market Report: https://www.globalmarketers.biz/report/others/2015-2027-global-artificial-intelligence-and-robotics-in-aerospace-and-defense-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/147616#table_of_contents
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| Overview of Artificial Intelligence and Robotics in Aerospace and Defense Market Sales, Supply & Demand Analysis | Overview Artificial Intelligence Robotics Aerospace Defense Market Sales, Supply Demand Analysis Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News Overview Artificial Intelligence Robotics Aerospace Defense Market Sales, Supply Demand Analysis Post author By alex Post date August 10, 2021 Global Marketers published innovative statistics market titled Artificial Intelligence Robotics Aerospace Defense Market: Global Industry Analysis 20202027. Global Artificial Intelligence Robotics Aerospace Defense Market 2020 Industry Research Reportoffersyou market size, industry growth, share, investment plans strategies, development trends, business idea forecasts 2027. The report highlights exhaustive study major market present forecast market scenario useful business decisions. Artificial Intelligence Robotics Aerospace Defense business report includes primary research allinclusive investigation subjective quantitative perspectives different industry specialists, key supposition pioneers gain profound understanding industry execution.[Request The COVID 19 Impact On This Market]. The report gives sensible picture current industrial situation incorporates authentic anticipated market estimate terms value volume, technological advancement, macroeconomic governing factors market. Top Key Manufacturers Artificial Intelligence Robotics Aerospace Defense industry Report: Intel Corporation The Boeing Company Lockheed Martin Corporation Airbus SE SITA IBM Nvidia Corporation General Electric Iris Automation . Thales SA Get FREE Sample PDF Copy Report: Our FREE SAMPLE COPY report gives brief introduction research report outlook, TOC, list tables figures, outlook key players market comprising key regions. The report offers multistep view Global Artificial Intelligence Robotics Aerospace Defense Market. The second subdivision report includes analytics Global Artificial Intelligence Robotics Aerospace Defense Market based revenue size terms value volume. Artificial Intelligence Robotics Aerospace Defense Market Segmentation Analysis: Global Artificial Intelligence Robotics Aerospace Defense market segmentation, solution: Biological, Chemical, Mechanical, Global Artificial Intelligence Robotics Aerospace Defense market segmentation, product: Stress Protection, Scarification, Pest Protection Artificial Intelligence Robotics Aerospace Defense Market Regional Analysis:North AmericaUnited States, Canada,EuropeGermany, Spain, France, UK, Russia, Italy,AsiaPacificChina, Japan, India, Australia, South Korea,Latin AmericaBrazil, Mexico, etc.,The Middle East AfricaGCC South Africa. Market segment Types, Hardware Software Service Market segment Applications, Military Commercial Aviation Space We designed Artificial Intelligence Robotics Aerospace Defense report group graphical representations, tables, figures portray detailed picture Artificial Intelligence Robotics Aerospace Defense industry. In addition, report clear objective mark probable shareholders company. Highlighting business chain framework explicitly offers executive summary market evolution. Thus easy figure obstacles uplifting profit stats. In accordance competitive prospect, Artificial Intelligence Robotics Aerospace Defense report dispenses broad array features essential measuring current Artificial Intelligence Robotics Aerospace Defense market performance technological advancements, business abstract, strengths weaknesses market position hurdles crossed leading Artificial Intelligence Robotics Aerospace Defense market players gain leading position. Get Customized report here: Some Notable Report Offerings: We assessment extent market acquire commercial characteristics examples instances information helps assessment. We support identify standardcustomary terms conditions discounts, warranties, inspection, buyer financing, acceptance Artificial Intelligence Robotics Aerospace Defense industry. We help finding price ranges, pricing issues, determination price fluctuation products Artificial Intelligence Robotics Aerospace Defense industry. Furthermore, help identify crucial trends predict Artificial Intelligence Robotics Aerospace Defense market growth rate 2027. Lastly, analyzed report predict general tendency supply demand Artificial Intelligence Robotics Aerospace Defense market. Report Table Content Overview Gives Exact Idea About International Artificial Intelligence Robotics Aerospace Defense Market Report: Chapter 1describes Artificial Intelligence Robotics Aerospace Defense report important market inspection, product cost structure, analysis, Artificial Intelligence Robotics Aerospace Defense market size scope forecast 2019 2027. Although, Artificial Intelligence Robotics Aerospace Defense market gesture, factors affecting expansion business deep study arise existing market holders. Chapter 2display manufacturers Artificial Intelligence Robotics Aerospace Defense market sales revenue market share. Furthermore, report analyses import export scenario industry, demand supply ratio, labor cost, raw material supply, production cost, marketing sources, downstream consumers market. Chapter 3, 4, 5analyses Artificial Intelligence Robotics Aerospace Defense report competitive analysis based product type, region wise depletion importexport analysis, composite annual growth rate market foretell study 2019 2027. Chapter 6gives indepth study Artificial Intelligence Robotics Aerospace Defense business channels, market sponsors, vendors, dispensers, merchants, market openings risk. Chapter 7gives Artificial Intelligence Robotics Aerospace Defense market Research Discoveries Conclusion Chapter 8gives Artificial Intelligence Robotics Aerospace Defense Appendix To Analyze Details Of Table Of Content TOC Artificial Intelligence Robotics Aerospace Defense Market Report: Tags Artificial Intelligence Robotics Aerospace Defense CAGR, Artificial Intelligence Robotics Aerospace Defense Industry, Artificial Intelligence Robotics Aerospace Defense Industry Analysis, Artificial Intelligence Robotics Aerospace Defense Industry Market, Artificial Intelligence Robotics Aerospace Defense Industry Size, Artificial Intelligence Robotics Aerospace Defense Market, Artificial Intelligence Robotics Aerospace Defense Market 2020, Artificial Intelligence Robotics Aerospace Defense Market Analysis, Artificial Intelligence Robotics Aerospace Defense Market business research, Artificial Intelligence Robotics Aerospace Defense Market Competitive landscape, Artificial Intelligence Robotics Aerospace Defense Market competitor analysis, Artificial Intelligence Robotics Aerospace Defense Market consumer research, Artificial Intelligence Robotics Aerospace Defense Market country reports, Artificial Intelligence Robotics Aerospace Defense Market Dynamics, Artificial Intelligence Robotics Aerospace Defense Market Forecast, Artificial Intelligence Robotics Aerospace Defense Market Growth, Artificial Intelligence Robotics Aerospace Defense Market Insights, Artificial Intelligence Robotics Aerospace Defense Market Key players, Artificial Intelligence Robotics Aerospace Defense Market Latest Reports 2020, Artificial Intelligence Robotics Aerospace Defense Market Overview, Artificial Intelligence Robotics Aerospace Defense Market research company, Artificial Intelligence Robotics Aerospace Defense Market research reports, Artificial Intelligence Robotics Aerospace Defense Market Revenue, Artificial Intelligence Robotics Aerospace Defense Market Segmentation Scope, Artificial Intelligence Robotics Aerospace Defense Market Share, Artificial Intelligence Robotics Aerospace Defense Market Size, Artificial Intelligence Robotics Aerospace Defense Market Status, Artificial Intelligence Robotics Aerospace Defense Market survey, Artificial Intelligence Robotics Aerospace Defense Market Trends, Artificial Intelligence Robotics Aerospace Defense Market Type Application, Comprehensive Artificial Intelligence Robotics Aerospace Defense Market Report, COVID19 impact Artificial Intelligence Robotics Aerospace Defense Market, Market Research, Reportspedia, Report Wine Packaging Market 2020 Trends Forecast Analysis Outlook Report EScooter Battery Market Size Estimated Observe Significant Growth 2027 for: Recent Posts Global Universal Motion Control Market Share 2021 Companies: ABB, Siemens, Mitsubishi Electric, Yaskawa, Panasonic, Rockwell Automation Meat Traceability System Market Global Insights, Trends Huge Business Opportunities 2021 2026 DEAR Systems, TraceGains, FoodLogiQ, Radley Corporation, Aptean Global MR Fluid MRF Market Landscape Growth Prospect By 2026: Lord Corporation, Arus MR Tech, Liquid Research Limited, QED Technologies, Industrial Metal Powders India Pvt. Ltd., CK Materials Lab Co. Global Pumps Valves Services Market Overview, Global Growth, Major Factors, Key Companies, Future Opportunities Future Insights 2027 Global BankingasaService Market 2027 Scope Industry Trends, Growth Opportunities Analysis Pandamic Crisis Global Marketers 2021 Murphys Hockey Law Powered WordPress To Up | 2,021 | [
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https://murphyshockeylaw.net/uncategorized/4412038/machine-learning-as-a-service-mlaas-market-global-analysis-2021-2028-att-amazon-web-services-sift-science-inc-bigml-fuzzy-ai-microsoft-yottamine-analytics-google-ersatz-labs-etc/ | 2021-10-13T00:00:00 | en | Machine Learning as a Service (MLaaS) Market Global Analysis 2021-2028: AT&T, Amazon Web Services, Sift Science, Inc., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc. – Murphy's Hockey Law |
Machine Learning as a Service (MLaaS) Market Global Analysis 2021-2028: AT&T, Amazon Web Services, Sift Science, Inc., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc. – Murphy's Hockey Law
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Machine Learning as a Service (MLaaS) Market Global Analysis 2021-2028: AT&T, Amazon Web Services, Sift Science, Inc., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc.
Post author
By anita_adroit
Post date
October 13, 2021
The Machine Learning as a Service (MLaaS) industry analysis report is a documentation of the in-depth information related to all the parameters allied with the market. The Machine Learning as a Service (MLaaS) industry analysis covers the holistic view on all the industry dynamics. The details on the Machine Learning as a Service (MLaaS) industry valuation status are added to the industry study report along with the genuine market statistics. The study offers the detailed study of the changes in the market dynamics over the years and helps in understanding the nature of changes in the market. The research report analyzes all the factors having an influence on the growth of the Machine Learning as a Service (MLaaS) industry.
Competitor Profiling: Machine Learning as a Service (MLaaS) Market
AT&T
Amazon Web Services
Sift Science, Inc.
BigML
Fuzzy.ai
Microsoft
Yottamine Analytics
Google
Ersatz Labs, Inc.
IBM
Hypergiant
Hewlett Packard
We Have Recent Updates of Machine Learning as a Service (MLaaS) Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/5789113?utm_source=PoojaAm
The research document encompasses a complete synopsis of versatile data comprising several factors and industrial parameters that influence overall growth trajectory of the Machine Learning as a Service (MLaaS) market. Every strategic development in the Machine Learning as a Service (MLaaS) market is discussed broadly in the analysis report. The research analyzes all the challenges and risks associated with the industry. The market study also includes data on the growth opportunities available in the Machine Learning as a Service (MLaaS) industry.
Unraveling Segmentation and Scope of the Machine Learning as a Service (MLaaS) Market
Analysis by Type:
Cloud and Web-based Application Programming Interface (APIs)
Software Tools
Others
Analysis by Application:
Cloud and Web-based Application Programming Interface (APIs)
Software Tools
Others
Browse Full Report with Facts and Figures of Machine Learning as a Service (MLaaS) Market Report at @ https://www.orbisresearch.com/reports/index/machine-learning-as-a-service-mlaas-market-global-analysis-2021-2028-insights-on-leading-players-type-applications-regions-and-future-opportunities?utm_source=PoojaAm
The digital advancements in the Machine Learning as a Service (MLaaS) market have played a major part in the overall growth of the industry so far. The industry analysis covers details related to all the digital developments in the Machine Learning as a Service (MLaaS) market. The market report follows a particular methodology. Number of industry analysis techniques while citation of the study report. The study discusses all of these techniques in detail. The record based on the study of Machine Learning as a Service (MLaaS) market offers in-depth study of all the news, plans, investments, policies, innovations, discoveries, developments, etc.
Regional Coverage of Machine Learning as a Service (MLaaS) 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 Machine Learning as a Service (MLaaS) Revenue
1.4 Market Analysis by Type
1.4.1 Machine Learning as a Service (MLaaS) Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 Machine Learning as a Service (MLaaS) Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Growth Trends by Regions
2.1 Machine Learning as a Service (MLaaS) Market Perspective (2015-2028)
2.2 Machine Learning as a Service (MLaaS) Growth Trends by Regions
2.2.1 Machine Learning as a Service (MLaaS) Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 Machine Learning as a Service (MLaaS) Historic Market Share by Regions (2015-2020)
2.2.3 Machine Learning as a Service (MLaaS) 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 Machine Learning as a Service (MLaaS) Market Growth Strategy
2.3.6 Primary Interviews with Key Machine Learning as a Service (MLaaS) Players (Opinion Leaders)
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/5789113?utm_source=PoojaAm
Chapter Three: Competition Landscape by Key Players
3.1 Top Machine Learning as a Service (MLaaS) Players by Market Size
3.1.1 Top Machine Learning as a Service (MLaaS) Players by Revenue (2015-2020)
3.1.2 Machine Learning as a Service (MLaaS) Revenue Market Share by Players (2015-2020)
3.1.3 Machine Learning as a Service (MLaaS) Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Machine Learning as a Service (MLaaS) Market Concentration Ratio
3.2.1 Machine Learning as a Service (MLaaS) Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Top Chapter Ten: and Top 5 Companies by Machine Learning as a Service (MLaaS) Revenue in 2020
3.3 Machine Learning as a Service (MLaaS) Key Players Head office and Area Served
3.4 Key Players Machine Learning as a Service (MLaaS) Product Solution and Service
3.5 Date of Enter into Machine Learning as a Service (MLaaS) Market
3.6 Mergers & Acquisitions, Expansion Plans
The Machine Learning as a Service (MLaaS) market report offers a comparative analysis of Machine Learning as a Service (MLaaS) industry. The report provides users with holistic information on all the fundamental events in the Machine Learning as a Service (MLaaS) market such as mergers, acquisitions, partnerships, collaborations, product launches, etc. The demands and scope of the Machine Learning as a Service (MLaaS) market at various instances is studied thoroughly in the document. The industry report provides detailed and reliable information regarding all the industry matters. Furthermore, the detailed data related to all the latest trends and techniques being implemented by the market bodies across the globe. All of these trends help market players to keep up with intense competition in the Machine Learning as a Service (MLaaS) market on level. The research includes the detailed discussion over the probable rate of growth for the Machine Learning as a Service (MLaaS) market. The study is focused over the advancement of the Machine Learning as a Service (MLaaS) industry in future. The study assures to provide holistic view of all the aspects of the Machine Learning as a Service (MLaaS) market.
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Hector Costello
Senior Manager Client Engagements
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Texas 75204, U.S.A.
Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155
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| Machine Learning as a Service (MLaaS) Market Global Analysis 2021-2028: AT&T, Amazon Web Services, Sift Science, Inc., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc. | Machine Learning Service MLaaS Market Global Analysis 20212028: ATT, Amazon Web Services, Sift Science, ., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc. Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News Machine Learning Service MLaaS Market Global Analysis 20212028: ATT, Amazon Web Services, Sift Science, ., BigML, Fuzzy.ai, Microsoft, Yottamine Analytics, Google, Ersatz Labs, etc. Post author By anita_adroit Post date October 13, 2021 The Machine Learning Service MLaaS industry analysis report documentation indepth information related parameters allied market. The Machine Learning Service MLaaS industry analysis covers holistic view industry dynamics. The details Machine Learning Service MLaaS industry valuation status added industry study report genuine market statistics. The study offers detailed study changes market dynamics years helps understanding nature changes market. The research report analyzes factors influence growth Machine Learning Service MLaaS industry. Competitor Profiling: Machine Learning Service MLaaS Market ATT Amazon Web Services Sift Science, . BigML Fuzzy.ai Microsoft Yottamine Analytics Google Ersatz Labs, . IBM Hypergiant Hewlett Packard We Have Recent Updates Machine Learning Service MLaaS Market Sample [emailprotected] The research document encompasses complete synopsis versatile data comprising factors industrial parameters influence overall growth trajectory Machine Learning Service MLaaS market. Every strategic development Machine Learning Service MLaaS market discussed broadly analysis report. The research analyzes challenges risks associated industry. The market study includes data growth opportunities available Machine Learning Service MLaaS industry. Unraveling Segmentation Scope Machine Learning Service MLaaS Market Analysis Type: Cloud Webbased Application Programming Interface APIs Software Tools Others Analysis Application: Cloud Webbased Application Programming Interface APIs Software Tools Others Browse Full Report Facts Figures Machine Learning Service MLaaS Market Report @ The digital advancements Machine Learning Service MLaaS market played major overall growth industry far. The industry analysis covers details related digital developments Machine Learning Service MLaaS market. The market report follows particular methodology. Number industry analysis techniques citation study report. The study discusses techniques detail. The record based study Machine Learning Service MLaaS market offers indepth study news, plans, investments, policies, innovations, discoveries, developments, etc. Regional Coverage Machine Learning Service MLaaS 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 Machine Learning Service MLaaS Revenue 1.4 Market Analysis Type 1.4.1 Machine Learning Service MLaaS Market Size Growth Rate Type: 2020 VS 2028 1.5 Market Application 1.5.1 Machine Learning Service MLaaS Market Share Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered Chapter Two: Growth Trends Regions 2.1 Machine Learning Service MLaaS Market Perspective 20152028 2.2 Machine Learning Service MLaaS Growth Trends Regions 2.2.1 Machine Learning Service MLaaS Market Size Regions: 2015 VS 2020 VS 2028 2.2.2 Machine Learning Service MLaaS Historic Market Share Regions 20152020 2.2.3 Machine Learning Service MLaaS 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 Machine Learning Service MLaaS Market Growth Strategy 2.3.6 Primary Interviews Key Machine Learning Service MLaaS Players Opinion Leaders Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Chapter Three: Competition Landscape Key Players 3.1 Top Machine Learning Service MLaaS Players Market Size 3.1.1 Top Machine Learning Service MLaaS Players Revenue 20152020 3.1.2 Machine Learning Service MLaaS Revenue Market Share Players 20152020 3.1.3 Machine Learning Service MLaaS Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 Machine Learning Service MLaaS Market Concentration Ratio 3.2.1 Machine Learning Service MLaaS Market Concentration Ratio CRChapter Five: HHI 3.2.2 Top Chapter Ten: Top 5 Companies Machine Learning Service MLaaS Revenue 2020 3.3 Machine Learning Service MLaaS Key Players Head office Area Served 3.4 Key Players Machine Learning Service MLaaS Product Solution Service 3.5 Date Enter Machine Learning Service MLaaS Market 3.6 Mergers Acquisitions, Expansion Plans The Machine Learning Service MLaaS market report offers comparative analysis Machine Learning Service MLaaS industry. The report provides users holistic information fundamental events Machine Learning Service MLaaS market mergers, acquisitions, partnerships, collaborations, product launches, etc. The demands scope Machine Learning Service MLaaS market instances studied thoroughly document. The industry report provides detailed reliable information industry matters. Furthermore, detailed data related latest trends techniques implemented market bodies globe. All trends help market players intense competition Machine Learning Service MLaaS market level. The research includes detailed discussion probable rate growth Machine Learning Service MLaaS market. The study focused advancement Machine Learning Service MLaaS industry future. The study assures provide holistic view aspects Machine Learning Service MLaaS market. : 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 Pet Grooming Market Global Analysis 20212028: Rosewood Pet Products, Rolf C Hagen, Ferplast, Chelsea Dogs, Bob Martin, Just Pets, BOSHEL, Beaphar, The Hartz Mountain, Johnsons Veterinary Products, etc. Computer Package Market Global Analysis 20212028: NEC, Quanta Computer In, Lenovo Group Limited, Dell, IBM, Fujitsu, Toshiba, Acer, HP, Compal Electronics . etc. for: Recent Posts Gymnastics Equipment Market increasing demand Industry Professionals:Abeo SA, Kubler Sport, American Athletic Thinfilm Submount Ceramic Substrates Market 2021 Size, Growth Factors, Trend, Top Players Kyocera, Murata, CITIZEN FINEDEVICE, Vishay Regional Forecast 2027 Ash Handling System Market InDepth Analysis including key playersDucon, Kawasaki, Desein Beryllium Matrix Composite Market Innovative Strategy 2028 3M, Ametek, Adma Product Cosmetic Nonsurgical Surgery Procedure Market Innovative Strategy 2028 Allergan plc, Johnson Johnson, Cynosure 2021 Murphys Hockey Law Powered WordPress To Up | 2,021 | [
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https://muscatinejournal.com/news/nation-world/government-politics/the-beatles-are-releasing-their-final-record-ai-helped-make-it-possible/article_811bb932-0a56-5bc1-afdf-eaf650a73aee.html | 2023-06-15T00:00:00 | en | The Beatles are releasing their 'final' record. AI helped make it possible |
The Beatles are releasing their 'final' record. AI helped make it possible
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The Beatles are releasing their 'final' record. AI helped make it possible
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The Beatles are releasing their 'final' record. AI helped make it possible
SYLVIA HUI
Associated Press
Jun 13, 2023
Jun 13, 2023
Updated
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From left are Beatles Paul McCartney, George Harrison, Ringo Starr, and John Lennon.
Associated Press
LONDON — Artificial intelligence has been used to extract John Lennon's voice from an old demo to create "the last Beatles record," decades after the band broke up, Paul McCartney said Tuesday.McCartney, 80, told the BBC that the technology was used to separate the Beatles' voices from background sounds during the making of director Peter Jackson's 2021 documentary series, "The Beatles: Get Back." The "new" song is scheduled to be released later this year, he said.
Paul McCartney poses for photographers Dec. 12, 2022, upon arrival for the premiere of the film 'If These Walls Could Sing' in London.
Scott Garfitt, Invision/AP
Jackson was "able to extricate John's voice from a ropey little bit of cassette and a piano," McCartney told BBC radio. "He could separate them with AI, he'd tell the machine 'That's a voice, this is a guitar, lose the guitar.'"
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"So when we came to make what will be the last Beatles record, it was a demo that John had that we worked on," he added. "We were able to take John's voice and get it pure through this AI so then we could mix the record as you would do. It gives you some sort of leeway."
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McCartney didn't identify the name of the demo, but the BBC and others said it was likely to be an unfinished 1978 love song by Lennon called "Now and Then." The demo was included on a cassette labeled "For Paul" that McCartney had received from Lennon's widow, Yoko Ono, the BBC reported.
Former Beatle John Lennon is shown Jan. 20, 1977, at the Kennedy Center for the Performing Arts in Washington.
Associated Press
McCartney described AI technology as "kind of scary but exciting," adding: "We will just have to see where that leads."
The same technology enabled McCartney to "duet" virtually with Lennon, who was murdered in 1980, on "I've Got a Feeling" last year at Glastonbury Festival.The singer-songwriter is scheduled to open an exhibition this month at the National Portrait Gallery in London featuring previously unseen photographs that he took during the early days of the Beatles at the start of "Beatlemania," when the band rose to worldwide fame.
The exhibition, titled "Eyes of the Storm," showcases more than 250 photos McCartney took on his camera between 1963 and 1964 — including portraits of Ringo Starr, George Harrison and Lennon, as well as Beatles manager Brian Epstein.
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| The Beatles are releasing their 'final' record. AI helped make it possible | The Beatles releasing final record. AI helped possible Skip main contentSkip main content free articles. Sign newsletter reading. Be know Get local news delivered inbox Sign Already r? Sign Back homer Please subscribe reading. You cancel time. Loadinghellp; You permission edit article. Edit Close 84 Log In Guest Logout Read Todays Eedition News Local State Regional Crime Politics Nation World Business News Tip Obituaries Share story Recent Obituaries Find Obituary Archives Opinion Submit letter GuestColumnists Letters Editor Sports High School College Professional Betting Life Entertainment Event Calendar Arts Theatre Movies TV Comics Games Puzzles Columns Play Faith Fashion Food Health Home Garden Parenting People Pets Travel Join community News tip Share video Send story Share photo Special Sections Feast Field Partners Brand Ave. Studios Print Edition Eedition Eedition Archives Buy Sell Place Ad Jobs Homes Cars Marketplace Public Notices Shop Local I Love A Deal Customer Service Manage Subscription Activate Digital Subscription Newsletter signup Help Center Mobile Apps Weather: Live Radar Facebook Twitter 2023 Lee Enterprises Read Todays Eedition Join Log In Welcome, Guest My Subscription Help Center My Account Dashboard Profile Saved items Logout Eedition News Obituaries Opinion Sports Life Entertainment Jobs 84 Sunny Share This Facebook Twitter WhatsApp SMS Email The Beatles releasing final record. AI helped possible 0 Comments Share Facebook Twitter WhatsApp SMS Email Print Copy article link Save The Beatles releasing final record. AI helped possible SYLVIA HUI Associated Press Jun 13, 2023 Jun 13, 2023 Updated 55 min ago 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save From left Beatles Paul McCartney, George Harrison, Ringo Starr, John Lennon. Associated Press LONDON Artificial intelligence extract John Lennons voice old demo create Beatles record, decades band broke up, Paul McCartney said Tuesday.McCartney, 80, told BBC technology separate Beatles voices background sounds making director Peter Jacksons 2021 documentary series, The Beatles: Get Back. The new song scheduled released later year, said. Paul McCartney poses photographers Dec. 12, 2022, arrival premiere film If These Walls Could Sing London. Scott Garfitt, InvisionAP Jackson able extricate Johns voice ropey little bit cassette piano, McCartney told BBC radio. He separate AI, hed tell machine Thats voice, guitar, lose guitar. Listen subscribe: Apple Podcasts Google Podcasts Spotify RSS Feed Omny Studio All Of Our Podcasts So came Beatles record, demo John worked on, added. We able Johns voice pure AI mix record do. It gives sort leeway. People reading Woman convicted Muscatine County murder files postconviction relief Muscatine man sentenced 21 years sexual abuse Emergency order stop The Davenport demolition denied Louisa County ropes course closed accident Wallleaping dog nextdoor puppy pal adopted video goes viral Floridas Dr. Deep Sea resurfaces whopping 100 days living underwater: It record Dick Drake Way Muscatine close Business owners, tenants The Davenport, file suit Former maintenance worker The Davenport recalls earlier damage Shannen Doherty reveals cancer spread brain Iowa Supreme Court rules Muscatine vicariously liable womans rape police officer Prep report: Muscatine softball goes 30 weekend, beats 3A No. 1 Williamsburg Transgender adults Florida blindsided new law limits access health care The iPhones ducking autocorrect problem finally gets fixed Prep report: Northup lifts LouisaMuscatine baseball walkoff victory McCartney didnt identify demo, BBC said likely unfinished 1978 love song Lennon called Now Then. The demo included cassette labeled For Paul McCartney received Lennons widow, Yoko Ono, BBC reported. Former Beatle John Lennon shown Jan. 20, 1977, Kennedy Center Performing Arts Washington. Associated Press McCartney described AI technology kind scary exciting, adding: We leads. The technology enabled McCartney duet virtually Lennon, murdered 1980, Ive Got Feeling year Glastonbury Festival.The singersongwriter scheduled open exhibition month National Portrait Gallery London featuring previously unseen photographs took early days Beatles start Beatlemania, band rose worldwide fame. The exhibition, titled Eyes Storm, showcases 250 photos McCartney took camera 1963 1964 including portraits Ringo Starr, George Harrison Lennon, Beatles manager Brian Epstein. 0 Comments Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Tags Dcc Wire Leenational Beatles Paul Mccartney John Lennon Artificial Intelligence Applications Be know Get local news delivered inbox Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Related story Listen subscribe: Apple Podcasts Google Podcasts Spotify RSS Feed Omny Studio All Of Our Podcasts Watch Now: Related Video Tokyos Wizarding World Experience Sold Out Before Opening AI Companion Droids Are Officially Here AI Companion Droids Are Officially Here Analyst Discusses What Lies Ahead Market As Fed Pauses Rate Hikes Analyst Discusses What Lies Ahead Market As Fed Pauses Rate Hikes Russia launches deadly attack Ukrainian presidents hometown Russia launches deadly attack Ukrainian presidents hometown Close Facebook Twitter Sites Partners Obituaries Eedition Weather River levels Online features Services Us Become member Customer Service Work Become Carrier Dealer Returns 2023 The Muscatine Journal, 301 E. 3rd St Muscatine, IA 52761 Terms Use Do Not Sell My Info Preferences Powered BLOX Content Management System . Notifications Settings You dont notifications. Get uptotheminute news sent straight device. Topics News Alerts Breaking News | 2,023 | [
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https://musescore.com/song/la_mesnie_fauveline_qui_a_mau_fere_jai_fait_nouvelement_amie_grant_despit_ai_je_fortune_de_fauvel-3004151 | 2022-10-04T00:00:00 | en | Free La mesnie fauveline, qui a mau fere / J'ai fait nouvelement amie / Grant despit ai je, Fortune, de Fauvel by Anonymous sheet music | Download PDF or print on Musescore.com |
Free La mesnie fauveline, qui a mau fere / J'ai fait nouvelement amie / Grant despit ai je, Fortune, de Fauvel by Anonymous sheet music | Download PDF or print on Musescore.com
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| Free La mesnie fauveline, qui a mau fere / J'ai fait nouvelement amie / Grant despit ai je, Fortune, de Fauvel by Anonymous sheet music | Free La mesnie fauveline, qui mau fere Jai fait nouvelement amie Grant despit ai je, Fortune, Fauvel Anonymous sheet music Download PDF print About Musescore About Jobs Our Products MuseScore PRO Community Our Ethical Line Report abuse Community Guidelines Score Uploading Guidelines Community Software Download Handbook Forum Help center More Licensing Terms Use DMCA Social YouTube Facebook Twitter LinkedIn Content Top Scores New Scores All Artists Scores Categories Courses 2022 MuseScore BV Kortrijksesteenweg 1126, 9051 Gent, Belgium | 2,022 | [
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https://musictech.com/news/music/masterchannel-spatial-ai/ | 2023-09-20T00:00:00 | en | Say hello to SpatialAI, the world's first spatial AI mastering solution | Say hello to SpatialAI, the world's first spatial AI mastering solutionNewsGearMusicLearnFreewarePodcastsDealsby Oliver Payne Masterchannel#AI#Mastering#Spatial AudioNewsSay hello to SpatialAI, the world’s first spatial AI mastering solutionIn 2022, Apple Music saw a 1,000 percent surge in monthly spatial audio listeners, with 80 per cent of its users having tried out the feature.
by Oliver Payne Credit: Getty / Halbergman
Get MusicTech breaking news as it happens by following us on Telegram: https://t.me/MusicTechOfficialAI mastering platform Masterchannel has launched SpatialAI, a new tool that specialises in mastering immersive music to be used on spatial audio systems.READ MORE: Bose introduces QuietComfort Ultra headphones and earbuds with spatial audioSpatialAI, according to Masterchannel, is the world’s first spatial AI mastering solution, streamlining the creation and technical compliance of spatial audio projects, making them ready for distribution in a matter of minutes.To use the tool, you upload your music file as an Audio Definition Model Broadcast Wave Format (ADM BWF) to Masterchannel. It will then process the file and return with an optimised track for streaming platforms, along with an individually optimised stereo version for traditional distribution.The launch arrives just as the popularity of spatial audio on streaming platforms is booming. Apple Music recently disclosed that after just over a year since its introduction, over 80 per cent of its global subscribers have embraced spatial audio, leading to a 1,000 per cent surge in monthly listeners of the format in 2022.“There’s a growing urgency for artists to deliver tracks in spatial audio, with the format being prioritised for streaming playlists,” Masterchannel CTO Simon Hestermann states in a press release. “However, until now it has been an elite technology. Producers have needed expensive equipment and add-ons to trust it, and engineers and their studios needed to be certified to attract business, making it prohibitively expensive and complex for many.”“That’s why we launched SpatialAI, to democratise access to spatial audio. Now DIY artists have the opportunity to compete with major signed artists for listener attention. Our aim is to streamline the switch to spatial audio for artists of all kinds.”To find out more, head to platform.masterchannel.ai.Masterchannel#AI#Mastering#Spatial AudioGet the latest news, reviews and tutorials to your inbox.SubscribeTrending Now1IK Multimedia UNO Synth Pro X: the compact, analogue UNO Synth finds its perfect form at last2Best DJ Gear 2023: 10 best DJ software for mixing and playlisting in 20233The Scarlett 4th Gen story: Focusrite’s journey from George Martin’s AIR to bedroom studios everywhere4“Go where you excel”: BIIANCO urges producers to utilise their strengthsJoin Our Mailing List & Get Exclusive DealsSign Up NowThe world’s leading media brand at the intersection of music and technology.Privacy PolicyCookie NoticeTerms of useAdvertiseContact© 2023 MusicTech is part of NME Networks.
| Say hello to SpatialAI, the world's first spatial AI mastering solution | Say hello SpatialAI, worlds spatial AI mastering solutionNewsGearMusicLearnFreewarePodcastsDealsby Oliver PayneMasterchannelAIMasteringSpatial AudioNewsSay hello SpatialAI, worlds spatial AI mastering solutionIn 2022, Apple Music saw 1,000 percent surge monthly spatial audio listeners, 80 cent users tried feature. Oliver PayneCredit: Getty Halbergman Get MusicTech breaking news happens following Telegram: mastering platform Masterchannel launched SpatialAI, new tool specialises mastering immersive music spatial audio systems.READ MORE: Bose introduces QuietComfort Ultra headphones earbuds spatial audioSpatialAI, according Masterchannel, worlds spatial AI mastering solution, streamlining creation technical compliance spatial audio projects, making ready distribution matter minutes.To use tool, upload music file Audio Definition Model Broadcast Wave Format ADM BWF Masterchannel. It process file return optimised track streaming platforms, individually optimised stereo version traditional distribution.The launch arrives popularity spatial audio streaming platforms booming. Apple Music recently disclosed year introduction, 80 cent global subscribers embraced spatial audio, leading 1,000 cent surge monthly listeners format 2022.Theres growing urgency artists deliver tracks spatial audio, format prioritised streaming playlists, Masterchannel CTO Simon Hestermann states press release. However, elite technology. Producers needed expensive equipment addons trust it, engineers studios needed certified attract business, making prohibitively expensive complex many.Thats launched SpatialAI, democratise access spatial audio. Now DIY artists opportunity compete major signed artists listener attention. Our aim streamline switch spatial audio artists kinds.To more, head platform.masterchannel.ai.MasterchannelAIMasteringSpatial AudioGet latest news, reviews tutorials inbox.Trending Now1IK Multimedia UNO Synth Pro X: compact, analogue UNO Synth finds perfect form last2Best DJ Gear 2023: 10 best DJ software mixing playlisting 20233The Scarlett 4th Gen story: Focusrites journey George Martins AIR bedroom studios everywhere4Go excel: BIIANCO urges producers utilise strengthsJoin Our Mailing List Get Exclusive DealsSign Up NowThe worlds leading media brand intersection music technology. NoticeTerms useAdvertise 2023 MusicTech NME Networks. | 2,023 | [
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https://mynorthwest.com/3892306/white-house-unveils-new-efforts-to-guide-federal-research-of-ai/ | 2023-05-23T00:00:00 | en | White House unveils new efforts to guide federal research of AI - MyNorthwest.com |
White House unveils new efforts to guide federal research of AI - MyNorthwest.com
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White House unveils new efforts to guide federal research of AI
May 23, 2023, 11:30 AM
FILE - President Joe Biden speaks in the East Room of the White House, May 17, 2023, in Washington. The White House has announced new efforts to guide federally backed research on artificial intelligence. The moves announced Tuesday come as the Biden administration is looking to get a firmer grip on understanding the risks and opportunities of the rapidly evolving technology. (AP Photo/Evan Vucci, File)Credit: ASSOCIATED PRESS
(AP Photo/Evan Vucci, File)
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BY ASSOCIATED PRESS
WASHINGTON (AP) — The White House on Tuesday announced new efforts to guide federally backed research on artificial intelligence as the Biden administration looks to get a firmer grip on understanding the risks and opportunities of the rapidly evolving technology.
Among the moves unveiled by the administration was a tweak to the United States’ strategic plan on artificial intelligence research, which was last updated in 2019, to add greater emphasis on international collaboration with allies.
White House officials on Tuesday were also hosting a listening session with workers on their firsthand experiences with employers’ use of automated technologies for surveillance, monitoring, evaluation, and management. And the U.S. Department of Education’s Office of Educational Technology issued a report focused on the risks and opportunities related to AI in education.
“The report recognizes that AI can enable new forms of interaction between educators and students, help educators address variability in learning, increase feedback loops, and support educators,” the White House said in a statement. “It also underscores the risks associated with AI — including algorithmic bias — and the importance of trust, safety, and appropriate guardrails.”
The U.S. government and private sector in recent months have begun more publicly weighing the possibilities and perils of artificial intelligence.
Tools like the popular spread disinformation.
Last week, Senate Majority Leader Chuck Schumer said Congress “must move quickly” to regulate artificial intelligence. He has also convened a bipartisan group of senators to work on legislation.
The latest efforts by the administration come after Vice President Kamala Harris met earlier this month with the heads of Google, Microsoft, ChatGPT-creator OpenAI and Anthropic. The administration also previously announced an investment of $140 million to establish seven new AI research institutes.
The White House Office of Science and Technology Policy on Tuesday also issued a new request for public input on national priorities “for mitigating AI risks, protecting individuals’ rights and safety, and harnessing AI to improve lives.”
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| White House unveils new efforts to guide federal research of AI | White House unveils new efforts guide federal research AI Close MyNorthwest Home Local News Sports Traffic Weather Podcasts LIVE Radio KIRO Newsradio 97.3 FM Seattle Sports 770 KTTH AM News Local News Seattle Traffic Seattle History National News World News Politics Lifestyle Money Odd News Photo Galleries Sponsored Stories Opinion Dave Ross John Shari Gee Ursula KIRO Nights Jason Rantz Bryan Suits Michael Medved Feliks Banel MyNorthwest Blog Sports Sports Seahawks Mariners Kraken Sounders FC Stacy Rost Shannon Drayer Tools Site Earthquake Tracker School Closings Advertise With Us Employment Contest Rules Connect Us Newsletters Contests Events Community Outreach Just Serve Facebook Twitter Instagram KIRO YouTube KTTH YouTube RSS KIRO NEWSRADIO SEATTLE SPORTS AM 770 KTTH Local News Sports Traffic Weather Podcasts Listen Live Menu White House unveils new efforts guide federal research AI May 23, 2023, 11:30 AM FILE President Joe Biden speaks East Room White House, May 17, 2023, Washington. The White House announced new efforts guide federally backed research artificial intelligence. The moves announced Tuesday come Biden administration looking firmer grip understanding risks opportunities rapidly evolving technology. AP PhotoEvan Vucci, FileCredit: ASSOCIATED PRESS AP PhotoEvan Vucci, File Share BY ASSOCIATED PRESS WASHINGTON AP The White House Tuesday announced new efforts guide federally backed research artificial intelligence Biden administration looks firmer grip understanding risks opportunities rapidly evolving technology. Among moves unveiled administration tweak United States strategic plan artificial intelligence research, updated 2019, add greater emphasis international collaboration allies. White House officials Tuesday hosting listening session workers firsthand experiences employers use automated technologies surveillance, monitoring, evaluation, management. And U.S. Department Educations Office Educational Technology issued report focused risks opportunities related AI education. The report recognizes AI enable new forms interaction educators students, help educators address variability learning, increase feedback loops, support educators, White House said statement. It underscores risks associated AI including algorithmic bias importance trust, safety, appropriate guardrails. The U.S. government private sector recent months begun publicly weighing possibilities perils artificial intelligence. Tools like popular spread disinformation. Last week, Senate Majority Leader Chuck Schumer said Congress quickly regulate artificial intelligence. He convened bipartisan group senators work legislation. The latest efforts administration come Vice President Kamala Harris met earlier month heads Google, Microsoft, ChatGPTcreator OpenAI Anthropic. The administration previously announced investment 140 million establish seven new AI research institutes. The White House Office Science Technology Policy Tuesday issued new request public input national priorities mitigating AI risks, protecting individuals rights safety, harnessing AI improve lives. Share National News Associated Press Alleged drunken driver charged killing bride crash seeks bond COLUMBIA, S.C. AP Defense attorneys seeking bond alleged drunken driver police slammed newlyweds riding South Carolina beach road, killing bride. Jamie Komoroskis attorneys filed motion week says poses flight risk danger community, news outlets reported. It requested [] 13 hours ago Associated Press 4yearold child OK dropped high border wall San Diego SAN DIEGO AP A 4yearold child dropped United States high border wall Mexico surveillance video captures routine highly risky occurrence. Remarkably, child ok Border Patrol Chief Raul Ortiz tweeted caption agencys oneminute, 37second video, [] 13 hours ago Associated Press Planned Parenthood moving money affiliates, cutting national staff abortion battle shifts playing out. The group, major provider abortion health services advocate abortion access, told staff Monday layoff notices June. It provided The Associated Press overview Tuesday. The changes kick July 1, [] 13 hours ago Associated Press Energy Dept. cancels 200M grant battery maker GOP criticism alleged ties China WASHINGTON AP The Biden administration canceled plans award 200 million grant U.S. battery manufacturer amid criticism Republican lawmakers companys alleged ties China. Texasbased Microvast 20 companies win talks Energy Department 200 million grant funded [] 13 hours ago Associated Press Mitt Romney faces new challenger GOP primary Utah Senate seat SALT LAKE CITY AP Riverton Mayor Trent Staggs announced plans run U.S. Senate year challenge firstterm Republican Mitt Romney emerge competitive primary battle deeply conservative state. Romney, 76, announced plans seek reelection, transformation 2012 [] 13 hours ago Associated Press Appeals court ruling deals legal setback Biden administration gun stabilizing brace case WASHINGTON AP A federal appeals court dealt legal setback Biden administration guns Tuesday lawsuit challenging tighter regulations stabilizing braces, accessory mass shootings U.S. The Fifth Circuit Court Appeals temporarily blocked Biden administrations rule going [] 13 hours ago Sponsored Articles Major Internet Upgrade Expansion Planned This Year Washington State Comcast investing 280 million year offer multigigabit Internet speeds million locations. Brock Huard Friends Rally Around The Fight First Campaign Professional athletes teaming prevent infant mortality empower women risk communities facing severe poverty. Prepare disaster Emergency Preparedness Conference Being prepared emergency arrives key preserving businesses organizations kinds. Volunteer help people understand Medicare options If youre retired getting ready retire looking new ways stay active, SHIBA volunteer As crime increases, safety measures Its easy accused fearmongering crime, Seattle residents good reason concerned safety. Ilona Lohrey President CEO, GSBA GSBA closing disparity gap Ready Business Fund GSBA, Comcast, partners working address disparities access financial resources Ready Business fund. Close White House unveils new efforts guide federal research AI Facebook Twitter LinkedIn Email Story Seattle, Washington, USA Us Follow Facebook Follow Twitter Email Alerts Advertise With Us Employment Part Network Sites 2023 Bonneville International. . Terms Use Do Not Sell My Data EEO Public File Report Infringement Licensing FCC Public File: KIROFM KIROAM KTTH FCC STATION REPRESENTATIVE: JAYLYNN SLOAN JSLOAN 206.726.7000 | 2,023 | [
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https://nationalpost.com/pmn/entertainment-pmn/chinese-activist-ai-weiwei-says-credit-suisse-closing-his-foundations-bank-account | 2021-09-07T00:00:00 | en | Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account | National Post | Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account | National Post Skip to Content Election 2021 Stay up to date with First Reading, our newsletter packed with the latest on the federal election Stay up to date with First Reading, our newsletter with the latest on the federal election Sign Up Now> Manage Print Subscription Sections Search Search nationalpost.com Perform search National Post Share Share this Story: Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Subscribe Main Menu Search nationalpost.com Perform search Election 2021 News National World PostPandemic Coronavirus Heroes of the Pandemic Object Lessons of a Pandemic Trade Posted Newsletter Archives Mortgages NP Comment Politics Post Picks More Life Shopping Essentials Business Essentials Sustainable Design Horoscopes Health Homes Eating & Drinking Style Parenting Travel Puzzles Comics Advice New York Times Crossword Culture Books Celebrity Movies Music Theatre Television Sports NHL Baseball Basketball Football Soccer Golf Golf Videos Tennis The GrowthOp Obituaries Place an Obituary Place an In Memoriam Classifieds Place an Ad Celebrations Shopping This Week's Flyers Working Financial Post Healthing Driving The GrowthOp Videos Podcasts Newsletters E-Paper Refer a Friend Subscribe FAQ Our Offers My Account Election 2021NewsNP CommentPoliticsPost PicksFinancial PostHealthingDrivingThe GrowthOpVideosPodcastsNewslettersE-PaperRefer a Friend Advertisement This advertisement has not loaded yet, but your article continues below. Share this Story: Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Breadcrumb Trail Links PMN Politics PMN News PMN Life PMN Entertainment Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account Author of the article: Reuters Rachel Armstrong and Brenna Hughes Neghaiwi Publishing date: Sep 07, 2021 • 1 hour ago • 2 minute read • Join the conversation Article content Chinese dissident and artist Ai Weiwei has said Credit Suisse told him it was closing his foundation’s bank account in Switzerland earlier this year citing his “criminal record” in China, despite the activist never being convicted of a crime. One of China’s most high-profile artists and political activists, Ai, who now lives in Portugal, wrote in an opinion piece for website Artnet how he was first told by the Swiss bank that it would close the account in the spring of this year. We apologize, but this video has failed to load. Try refreshing your browser, ortap here to see other videos from our team. Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account Back to video Advertisement Story continues below This advertisement has not loaded yet, but your article continues below. Article content “Credit Suisse initially informed me that they had a new policy to terminate all bank accounts which are related to people with criminal records,” Ai told Reuters in an emailed statement, adding the foundation had been asked at the time to move the funds before September. The bank declined to comment. Ai helped design the 2008 Beijing Olympics’ famed Bird’s Nest stadium before falling foul of the communist government, which detained him for 81 days in 2011. He said he has never been formally charged or convicted of a crime. Ai said Credit Suisse then called him on June 24 to say the bank would like to close the account, which belonged to a free speech and arts foundation he started in 2016, “as soon as possible.” He said managers then referred to an interview he had done with a Swiss newspaper several days before, in which he criticized Swiss people for voting in favor of tighter “anti-immigrant policies” as a reason for the closure. Advertisement Story continues below This advertisement has not loaded yet, but your article continues below. Article content Credit Suisse declined to comment on any of his allegations, saying it does not discuss “potential or existing client relationships.” Ai told Reuters the account was currently in the process of being closed and could only be used in a very limited manner, but funds still needed to be moved out of it. CHINA STRATEGY Many major Western banks, including Credit Suisse, have made winning business from China’s ever-growing ranks for the ultra-wealthy a central part of their strategies. However, this has thrown up geopolitical issues for several of them when trying to stay in favor with Beijing. Last year Reuters reported that global wealth managers, including Credit Suisse, were examining whether their clients in Hong Kong had ties to the city’s pro-democracy movement, in an attempt to avoid getting caught in the crosshairs of China’s new national security law. Advertisement Story continues below This advertisement has not loaded yet, but your article continues below. Article content Like other wealth managers, Credit Suisse has made its sponsorship of the arts a selling point with its collecting-savvy clientele, acting as a patron to numerous museums in Switzerland and internationally, while also building up its own collection of more than 8,000 artworks focussed particularly on emerging artists. Ai said he had previously faced similar actions from a bank in Germany and another in Hong Kong, but in neither instance had an explanation been given. “You know, these banks are very arrogant,” Ai said, adding he did not believe Credit Suisse would reverse its decision. “Even if they do reverse this decision, I am not willing to be associated with a bank which has such a strange relationship with China.” (Reporting by Rachel Armstrong, Brenna Hughes Neghaiwi and Oliver Hirt; additional reporting by Sumeet Chatterjee; Editing by Alex Richardson) Share this article in your social network Share this Story: Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Advertisement Story continues below This advertisement has not loaded yet, but your article continues below. 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OK | Chinese activist Ai Weiwei says Credit Suisse closing his foundation's bank account | Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account National Post Skip Content Election 2021 Stay date First Reading, newsletter packed latest federal election Stay date First Reading, newsletter latest federal election Sign Up Now> Manage Print Subscription Sections Perform search National Post Share Share Story: Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Main Menu Perform search Election 2021 News National World PostPandemic Coronavirus Heroes Pandemic Object Lessons Pandemic Trade Posted Newsletter Archives Mortgages NP Comment Politics Post Picks More Life Shopping Essentials Business Essentials Sustainable Design Horoscopes Health Homes Eating Drinking Style Parenting Travel Puzzles Comics Advice New York Times Crossword Culture Books Celebrity Movies Music Theatre Television Sports NHL Baseball Basketball Football Soccer Golf Golf Videos Tennis The GrowthOp Obituaries Place Obituary Place In Memoriam Classifieds Place Ad Celebrations Shopping This Weeks Flyers Working Financial Post Healthing Driving The GrowthOp Videos Podcasts Newsletters EPaper Refer Friend FAQ Our Offers My Account Election 2021NewsNP CommentPoliticsPost PicksFinancial PostHealthingDrivingThe GrowthOpVideosPodcastsNewslettersEPaperRefer Friend Advertisement This advertisement loaded yet, article continues below. Share Story: Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Breadcrumb Trail Links PMN Politics PMN News PMN Life PMN Entertainment Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account Author article: Reuters Rachel Armstrong Brenna Hughes Neghaiwi Publishing date: Sep 07, 2021 1hour ago 2 minute read Join conversation Article content Chinese dissident artist Ai Weiwei said Credit Suisse told closing foundations bank account Switzerland earlier year citing criminal record China, despite activist convicted crime. One Chinas highprofile artists political activists, Ai, lives Portugal, wrote opinion piece website Artnet told Swiss bank close account spring year. We apologize, video failed load. Try refreshing browser, ortap videos team. Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account Back video Advertisement Story continues This advertisement loaded yet, article continues below. Article content Credit Suisse initially informed new policy terminate bank accounts related people criminal records, Ai told Reuters emailed statement, adding foundation asked time funds September. The bank declined comment. Ai helped design 2008 Beijing Olympics famed Birds Nest stadium falling foul communist government, detained 81 days 2011. He said formally charged convicted crime. Ai said Credit Suisse called June 24 bank like close account, belonged free speech arts foundation started 2016, soon possible. He said managers referred interview Swiss newspaper days before, criticized Swiss people voting favor tighter antiimmigrant policies reason closure. Advertisement Story continues This advertisement loaded yet, article continues below. Article content Credit Suisse declined comment allegations, saying discuss potential existing client relationships. Ai told Reuters account currently process closed limited manner, funds needed moved it. CHINA STRATEGY Many major Western banks, including Credit Suisse, winning business Chinas evergrowing ranks ultrawealthy central strategies. However, thrown geopolitical issues trying stay favor Beijing. Last year Reuters reported global wealth managers, including Credit Suisse, examining clients Hong Kong ties citys prodemocracy movement, attempt avoid getting caught crosshairs Chinas new national security law. Advertisement Story continues This advertisement loaded yet, article continues below. Article content Like wealth managers, Credit Suisse sponsorship arts selling point collectingsavvy clientele, acting patron numerous museums Switzerland internationally, building collection 8,000 artworks focussed particularly emerging artists. Ai said previously faced similar actions bank Germany Hong Kong, instance explanation given. You know, banks arrogant, Ai said, adding believe Credit Suisse reverse decision. Even reverse decision, I willing associated bank strange relationship China. Reporting Rachel Armstrong, Brenna Hughes Neghaiwi Oliver Hirt; additional reporting Sumeet Chatterjee; Editing Alex Richardson Share article social network Share Story: Chinese activist Ai Weiwei says Credit Suisse closing foundations bank account Copy Link Email Facebook Twitter Reddit LinkedIn Tumblr Advertisement Story continues This advertisement loaded yet, article continues below. Shopping essentials The It List: Tiffany Co. launches new knotted collection Tiffany Knot designed nod New York. 1hour ago Life Novosbed mattress review: 30 days sleep testing We tried fourlayer memory foam mattress adjustable firmness 5hours ago Shopping Essentials Advertisement Story continues This advertisement loaded yet, article continues below. 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] | 1 | 2,108 |
https://newatlas.com/computers/google-blob-opera-machine-learning-experiment/ | 2020-12-16T00:00:00 | en | Fun machine learning experiment creates a vocal opera in your browser |
Fun machine learning experiment creates a vocal opera in your browser
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Computers
Fun machine learning experiment creates a vocal opera in your browser
By Paul Ridden
December 16, 2020
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Fun machine learning experimen...
The Blog Opera is trained on recordings of actual opera singers, and the produces sounds based on its understanding of what opera should sound likeGoogle
View 3 Images
1/3
Pitch and vowel sounds are controlled by dragging a blob up or down, forward or backGoogle
2/3
The Blob Opera will offer its take on popular Carols like Jingle Bells and Joy to the WorldGoogle
3/3
The Blog Opera is trained on recordings of actual opera singers, and the produces sounds based on its understanding of what opera should sound likeGoogle
View gallery - 3 images
Google's Arts and Culture lab has launched a clever browser experiment in collaboration with David Li. The Blob Opera puts four operatic voices at your disposal to create glorious AI-driven performances.The machine learning model used in the experiment was trained on the real voices of four opera singers. Christian Joel (tenor), Frederick Tong (bass), Joanna Gamble (mezzo soprano) and Olivia Doutney (soprano) recorded 16 hours of audio for the experiment. Ingunn Gyda Hrafnkelsdottir and John Holland-Avery provided additional vocals.But what you hear when you create your very own mini opera using a mouse cursor is actually what the AI determines opera should sound like based on what it's learned from those recordings. Google says that the Blob Opera will only work in browsers and on machines that rock the latest web technology, and may not work on mobile devices. But if you do get it to work, the results are impressive.
The Blob Opera will offer its take on popular Carols like Jingle Bells and Joy to the WorldGoogle
To get the blobs blobbing and the gorgeous harmonies sounding, you click on one of the characters and drag it up or down to alter pitch and forward or back to change mouth shape for different vowel sounds. Individual or multiple blobs can be silenced by muting the audio icon, and the eyes follow the mouse cursor around the screen.Performances can be recorded for playback and sharing, and clicking on the tree icon plops some festive hats on the heads of the blobs and offers their takes on popular Carols. The blobs don't manage to sing actual words, but the vowel sounds will still have you humming along. Great fun.Project page: Blob Opera
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While Paul is loath to reveal his age, he will admit to cutting his IT teeth on a TRS-80 (although he won't say which version). An obsessive fascination with computer technology blossomed from hobby into career before hopping over to France for 10 years, where he started work for New Atlas in 2009. Now back in his native Blighty, he serves as Managing Editor in Europe.
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| Fun machine learning experiment creates a vocal opera in your browser | Fun machine learning experiment creates vocal opera browser SUBSCRIBE ADFREE LOG IN HOME LIFESTYLE Architecture Around Home Children Good Thinking Health Wellbeing Holiday Destinations Outdoors Pets Remarkable People Tiny Houses Architecture Around Home Children Good Thinking Health Wellbeing Holiday Destinations Outdoors Pets Remarkable People Tiny Houses SCIENCE Biology Electronics Energy Environment Materials Medical Physics Quantum Computing Space Biology Electronics Energy Environment Materials Medical Physics Quantum Computing Space TECHNOLOGY 3D Printing Computers Deals Photography Drones Games Home Entertainment Laptops Military Mobile Technology Music Robotics Smartwatches Telecommunications Wearable Electronics Virtual Reality 3D Printing Computers Deals Photography Drones Games Home Entertainment Laptops Military Mobile Technology Music Robotics Smartwatches Telecommunications Wearable Electronics Virtual Reality TRANSPORT Aircraft Automotive Bicycles Marine Motorcycles Urban Transport Aircraft Automotive Bicycles Marine Motorcycles Urban Transport 2020 New Atlas Menu HOME LIFESTYLE Architecture Around Home Children Good Thinking Health Wellbeing Holiday Destinations Outdoors Pets Remarkable People Tiny Houses SCIENCE Biology Electronics Energy Environment Materials Medical Physics Quantum Computing Space TECHNOLOGY 3D Printing Computers Deals Photography Drones Games Home Entertainment Laptops Military Mobile Technology Music Robotics Smartwatches Telecommunications Wearable Electronics Virtual Reality TRANSPORT Aircraft Automotive Bicycles Marine Motorcycles Urban Transport SUBSCRIBE ADFREE LOG IN Show Query Submit Computers Fun machine learning experiment creates vocal opera browser ByPaul Ridden December 16, 2020 Facebook Twitter Flipboard LinkedIn Fun machine learning experimen... The Blog Opera trained recordings actual opera singers, produces sounds based understanding opera sound likeGoogle View 3 Images 13 Pitch vowel sounds controlled dragging blob down, forward backGoogle 23 The Blob Opera offer popular Carols like Jingle Bells Joy WorldGoogle 33 The Blog Opera trained recordings actual opera singers, produces sounds based understanding opera sound likeGoogle View gallery 3 images Googles Arts Culture lab launched clever browser experiment collaboration David Li. The Blob Opera puts operatic voices disposal create glorious AIdriven performances.The machine learning model experiment trained real voices opera singers. Christian Joel tenor, Frederick Tong bass, Joanna Gamble mezzo soprano Olivia Doutney soprano recorded 16 hours audio experiment. Ingunn Gyda Hrafnkelsdottir John HollandAvery provided additional vocals.But hear create mini opera mouse cursor actually AI determines opera sound like based learned recordings. Google says Blob Opera work browsers machines rock latest web technology, work mobile devices. But work, results impressive. The Blob Opera offer popular Carols like Jingle Bells Joy WorldGoogle To blobs blobbing gorgeous harmonies sounding, click characters drag alter pitch forward change mouth shape different vowel sounds. Individual multiple blobs silenced muting audio icon, eyes follow mouse cursor screen.Performances recorded playback sharing, clicking tree icon plops festive hats heads blobs offers takes popular Carols. The blobs dont manage sing actual words, vowel sounds humming along. Great fun.Project : Blob Opera View gallery 3 images Tags ComputersGoogleMachine LearningArtificial IntelligenceOpera Facebook Twitter Flipboard LinkedIn Paul Ridden While Paul loath reveal age, admit cutting IT teeth TRS80 wont version. An obsessive fascination technology blossomed hobby career hopping France 10 years, started work New Atlas 2009. Now native Blighty, serves Managing Editor Europe. 0 comments Sign post comment. Please comments 150 words. No abusive material spam published. There comments. Be Related Stories Computers Groundbreaking Engelbart 3button mouse goes auction Computers Chinese quantum completes 2.5billionyear task minutes Computers COVID19 vaccine distribution networks targeted hackers Computers Looking Glass Factory launches personal holographic display Load More Most Viewed Tiny Houses The best tiny houses 2020 Medical reased water intake suppresses key hormone reduce obesity mice Science Gut bacteria linked endocannabinoid levels depression Biology New dinosaur dazzled ornaments seen fossil record Load More Over 280,000 people receive email newsletter. See stories matter inbox morning. Join HOME FEATURES REVIEWS ABOUT ADVERTISE TERMS PRIVACY CONTACT RSS FAQ LIFESTYLE Architecture Around Home Children Collectibles Good Thinking Health Wellbeing Holiday Destinations Outdoors Pets Remarkable People Tiny Houses SCIENCE Biology Electronics Energy Environment Materials Medical Physics Quantum Computing Space TECHNOLOGY 3D Printing Computers Deals Photography Drones Games Home Entertainment Laptops Military Mobile Technology Music Robotics Smartwatches Telecommunications Wearable Electronics Virtual Reality TRANSPORT Aircraft Automotive Bicycles Marine Motorcycles Urban Transport twitter instagram flipboard facebook linkedin 2020 New Atlas | 2,020 | [
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https://news.westernu.ca/2022/03/program-links-ai-health-research/ | 2022-03-22T00:00:00 | en | Western News - New Western specialization links AI and health research |
Western News - New Western specialization links AI and health research
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New Western specialization links AI and health research
One-of-a-kind collaboration to help grad students use machine learning to solve complex health, medical issues
A new specialization at Western University will offer graduate students expertise in artificial intelligence, machine learning and health care and medicine. Photo illustration by Tara Winstead of Pexels
Topic Front Hero Research
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By Debora Van Brenk
March 21, 2022
While artificial intelligence now guides everything from transportation to our music choices, the promise of harnessing data to inform and transform our health has more often been a matter of hope than reality.
This may soon change as Western launches Ontario’s first interdisciplinary graduate field dedicated to machine learning in health and medicine.
“Machine learning has really been a big buzzword in recent years but people are now realizing it’s not just hype. I think everyone in health, medicine and biomedical research needs to recognize that this is going to be an essential tool,” said Ali Khan, director of the new specialization and a professor of medical biophysics and imaging at the Schulich School of Medicine & Dentistry.
The new collaborative specialization in machine learning in health and biomedical science will draw together as many as 30 master’s and doctoral students who already have degrees in computer science, health, engineering or medicine.
Together, they’ll become conversant – even if not completely fluent – in each other’s professional languages.
They’ll learn to apply machine learning to solve massively complex health issues that couldn’t be solved any other way.
Some applications could include reprogramming surgical robots, creating tools that identify early dementia through speech patterns, and data-crunching algorithms that can predict and prevent mental illness.
Ali Khan
In labs where Khan works, it could mean new discoveries in neuroscience, for example. “There’s a huge amount of imaging data that just isn’t captured in any systemic way. Imaging is often used for individual assessments but there’s a lot of data that can be used to determine how biological systems are functioning or search for subtle abnormalities we didn’t know existed.”
Collaboration among data scientists and health scientists is crucial, said computer science and statistics professor Jörn Diedrichsen, a co-developer and facilitator of the program.
“Data is the new oil in health and biomedical science,” said Diedrichsen, who is also researches the neuroscience of movement through Western’s Brain and Mind Institute. “This will revolutionize health care in the next 10 years.”
But, too often, neither side of the equation knows the challenges the other faces – or even what questions to ask or what problems need solving.
Jörn Diedrichsen
“The big question that this collaborative specialization is addressing is, how do we train people to actually bridge this gap? They won’t become experts at each other’s specialties but the goal is to give them enough background to intelligently use those techniques and talk with each other about machine learning and health,” he said.
Within the interdisciplinary field, students will be learning far more than the technical aspects of machine learning and health science.
They’ll be discovering how to conduct enriched research, how to examine and explore the ethical and privacy challenges, how to work across disciplines, and how to bring discoveries from lab bench to hospital bedside.
Significantly, this is the only specialization of its kind accredited by the Vector Institute for Artificial Intelligence, the federally funded non-profit group intended to grow a stronger AI sector across Canada.
Public and private health industry employers linked with Vector AI are also in need of researchers, engineers and scientists who have this expertise, Khan said.
“There’s a lot of value added in having these collaborations and in having connections with Vector,” he said.
Through Vector, as many as four one-year scholarships will be offered to master’s level students, Diedrichsen said.
The new Western specialization is expected to start in September 2022.
Diedrichsen noted there’s already a strong foundation for this in collaborations that have already formed between and among faculty, in five newly appointed professors in bioinformatics, and in a machine-learning club that’s formed at Schulich Medicine.
The new specialization will be drawing upon the expertise of approximately 30 faculty members.
The collaborative specialization in machine learning in health and biomedical sciences is one of 14 Western collaborative specializations: graduate fields of study that provide additional multidisciplinary experience for students enrolled in an approved master’s and/or PhD programs.
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| Western News | Western News New Western specialization links AI health research for: All News Research Innovation Campus Community Students Alumni Teaching In The News Archive Us Media Relations FollowFollowFollowFollowFollowFollow New Western specialization links AI health research Oneofakind collaboration help grad students use machine learning solve complex health, medical issues A new specialization Western University offer graduate students expertise artificial intelligence, machine learning health care medicine. Photo illustration Tara Winstead Pexels Topic Front Hero Research Share Explore All News By Debora Van Brenk March 21, 2022 While artificial intelligence guides transportation music choices, promise harnessing data inform transform health matter hope reality. This soon change Western launches Ontarios interdisciplinary graduate field dedicated machine learning health medicine. Machine learning big buzzword recent years people realizing hype. I think health, medicine biomedical research needs recognize going essential tool, said Ali Khan, director new specialization professor medical biophysics imaging Schulich School Medicine Dentistry. The new collaborative specialization machine learning health biomedical science draw 30 masters doctoral students degrees science, health, engineering medicine. Together, theyll conversant completely fluent professional languages. Theyll learn apply machine learning solve massively complex health issues solved way. Some applications include reprogramming surgical robots, creating tools identify early dementia speech patterns, datacrunching algorithms predict prevent mental illness. Ali Khan In labs Khan works, mean new discoveries neuroscience, example. Theres huge imaging data isnt captured systemic way. Imaging individual assessments theres lot data determine biological systems functioning search subtle abnormalities didnt know existed. Collaboration data scientists health scientists crucial, said science statistics professor Jrn Diedrichsen, codeveloper facilitator program. Data new oil health biomedical science, said Diedrichsen, researches neuroscience movement Westerns Brain Mind Institute. This revolutionize health care 10 years. But, often, equation knows challenges faces questions ask problems need solving. Jrn Diedrichsen The big question collaborative specialization addressing is, train people actually bridge gap? They wont experts specialties goal background intelligently use techniques talk machine learning health, said. Within interdisciplinary field, students learning far technical aspects machine learning health science. Theyll discovering conduct enriched research, examine explore ethical privacy challenges, work disciplines, bring discoveries lab bench hospital bedside. Significantly, specialization kind accredited Vector Institute Artificial Intelligence, federally funded nonprofit group intended grow stronger AI sector Canada. Public private health industry employers linked Vector AI need researchers, engineers scientists expertise, Khan said. Theres lot value added collaborations connections Vector, said. Through Vector, oneyear scholarships offered masters level students, Diedrichsen said. The new Western specialization expected start September 2022. Diedrichsen noted theres strong foundation collaborations formed faculty, newly appointed professors bioinformatics, machinelearning club thats formed Schulich Medicine. The new specialization drawing expertise approximately 30 faculty members. The collaborative specialization machine learning health biomedical sciences 14 Western collaborative specializations:graduate fields study provide additional multidisciplinary experience students enrolled approved masters andor PhD programs. Topic Front Hero Research Share Explore All News Up Next Neuroscientist partners withlaw firm concussion research Headline 3, ResearchAndrea Soddus imaging software provides neuro insights patients acquired brain injury Tags EngineeringFaculty health sciencesFaculty ScienceGraduate Postdoctoral StudiesSchulich School Medicine Dentistry Related Stories Because COVID: Western experts weigh years pandemic BellWestern 5G network enabling solutions realworld challenges Robotics researcher revolutionizes mushroom harvesting Popular This Week Three Western researchers named Distinguished University Professors 352 views New Western specialization links AI health research 109 views Growing food sustainability ground 83 views 1878 Western University Western University 1151 Richmond Street London, Ontario, Canada, N6A 3K7 Tel: 5196612111 Us Privacy Web Standards Terms Use Accessibility All News Research Innovation Campus Community Students Alumni Teaching In The News Archive Us Media Relations FollowFollowFollowFollowFollowFollow FollowFollowFollowFollowFollowFollow 1878 Western University Western University 1151 Richmond Street London, Ontario, Canada, N6A 3K7 Tel: 5196612111 Us Privacy Web Standards Terms Use Accessibility | 2,022 | [
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https://news.yahoo.com/scalenuts-ai-copywriter-helps-content-043417924.html | 2022-08-24T00:00:00 | en | Scalenut's AI copywriter also helps content make a dent in search engine results | Scalenut's AI copywriter also helps content make a dent in search engine results HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download the Yahoo News app Yahoo News Search query Sign in Mail Sign in to view your mail News News US US Politics Politics World World COVID-19 COVID-19 Climate Change Climate Change Health Health Science Science Originals Originals The 360The 360 Skullduggery PodcastSkullduggery Podcast ConspiracylandConspiracyland Contact Us Contact Us ……
Close this content TechCrunchScalenut's AI copywriter also helps content make a dent in search engine resultsRead full articleOops!Something went wrong.Please try again later.More content belowAmit SinghalCatherine ShuAugust 24, 2022, 12:34 AM·3 min readIn this article: Oops!Something went wrong.Please try again later.More content belowAmit SinghalAmerican computer engineer AI copywriters are getting a lot of attention from investors. A couple that have recently raised funding include Copy.ai and Copysmith. Now Scalenut is entering the arena with a $3.1 million funding round led by Saama Capital and Amit Singhal, formerly a senior vice president at Google and head of Google Search.Launched earlier this year by Mayank Jain, Gaurav Goyal and Saurabh Wadhawan, Scalenut says it has since signed up 100,000 users, primarily SMBs and mid-market sized businesses, grown its revenue 10 times and is now trending at a seven-digit run rate.About 70% of its paying subscribers are from the United States, United Kingdom and Canada, and the rest are from Asian countries. Its last round of funding was a seed round of $400,000 led by Titan Capital, First Principles VC, AngelList, Abhishek Goyal and other angel investors.When asked how Scalenut sets itself apart from other AI copywriting startups, Jain said “whilst Copy.ai, Copysmith and quite a few other tools have built a layer over a vanilla integration with [language model] GPT-3, we on the other hand have built a comprehensive content marketing suite that automates the entire content workflow.”Scalenut founders Gaurav Goyal, Saurabh Wadhawan and Mayank JainScalenut founders Gaurav Goyal, Saurabh Wadhawan and Mayank Jain“Our in-house deep learning models and integrations with other NLP providers enable end users to create content that has a much higher chances of ranking on search engines, hence driving organic growth,” he added. “Having said that, we also host one of the highest quality generic copywriting toolkits as well.”One of Scalenut’s key differentiators is covering the entire content lifecycle, from content planning to research, writing and SEO optimization.Jain demonstrated the platform for TechCrunch. For example, a green tea manufacturer who wants to create a blog post about the benefits of the beverage would first use a keyword to create topic cluster reports, or lists of potential topics with clusters of keywords. If they select the topic cluster “green tea benefits," they would see keywords like “green tea benefits,” “dandelion benefits” and “tazo green tea benefits,” among many others.Story continuesThen they open the report they want and see statistics for the top 30 URLs ranked on search engines already, as well as their outlines. Other information includes the questions that people are asking about the topic on Google or Reddit, citations and key search terms to help content rank better on search engines.Once a content creator has this info, they can enter Scalenut’s “Cruise Mode.” This provides a title, defines an outlet, provides writing points and creates a first draft, as well as SEO insights they can use to optimize the content.Jain says users have relied on Scalenut to create in-depth blog posts, along with how-to guides, listicles, “why” posts, FAQs and comparison posts. Scalenut’s SEO optimization features tells users how long their posts should be. It can write blog posts as long as 10,000 words, but Jain says they’re usually between 1,200 to 1,500 words.In a prepared statement, Saama Capital managing partner Ash Lilani said, “One common problem that businesses face to power up their organic marketing is scaling content meaningfully. There is no easy way to scale content and Scalenut is solving precisely that with its robust AI platform.”
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Now he is seeking documents from Dorsey, a Twitter co-founder who is CEO of the payments processing company Block which changed its name from Square last year. Dorsey resigned as Twitter’s chief executive last November and left its board in May. According to a copy of the subpoena, Dorsey was asked for documents and communications about Musk's April agreement to buy the company and about spam accounts on the platform. It’s specifically asking about documents on Twitter's use of mDAU, a measure of active users on its platform. Musk has alleged Twitter withheld the number fake accounts in its regulatory filings, which Musk said is part of what he used to value the company. Twitter has denied Musk’s spam allegations and declined to comment on the subpoena. Musk told Twitter he was ending the deal in July. The two sides have since sued each other, and Twitter has asked a Delaware judge to order Musk to close the deal, with a trail set to start in mid-October. 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| Scalenut's AI copywriter also helps content make a dent in search engine results | Scalenuts AI copywriter helps content dent search engine results HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download Yahoo News app Yahoo News query Sign Mail Sign view mail News News US US Politics Politics World World COVID19 COVID19 Climate Change Climate Change Health Health Science Science Originals Originals The 360The 360 Skullduggery PodcastSkullduggery Podcast ConspiracylandConspiracyland Us Us Close content TechCrunchScalenuts AI copywriter helps content dent search engine resultsRead articleOopsSomething went wrong.Please try later.More content belowAmit SinghalCatherine ShuAugust 24, 2022, 12:34 AM3 min readIn article: OopsSomething went wrong.Please try later.More content belowAmit SinghalAmerican engineer AI copywriters getting lot attention investors. A couple recently raised funding include Copy.ai Copysmith. Now Scalenut entering arena 3.1 million funding round led Saama Capital Amit Singhal, senior vice president Google head Google .Launched earlier year Mayank Jain, Gaurav Goyal Saurabh Wadhawan, Scalenut says signed 100,000 users, primarily SMBs midmarket sized businesses, grown revenue 10 times trending sevendigit run rate.About 70 paying subscribers United States, United Kingdom Canada, rest Asian countries. Its round funding seed round 400,000 led Titan Capital, First Principles VC, AngelList, Abhishek Goyal angel investors.When asked Scalenut sets apart AI copywriting startups, Jain said whilst Copy.ai, Copysmith tools built layer vanilla integration [language model] GPT3, hand built comprehensive content marketing suite automates entire content workflow.Scalenut founders Gaurav Goyal, Saurabh Wadhawan Mayank JainScalenut founders Gaurav Goyal, Saurabh Wadhawan Mayank JainOur inhouse deep learning models integrations NLP providers enable end users create content higher chances ranking search engines, driving organic growth, added. Having said that, host highest quality generic copywriting toolkits well.One Scalenuts key differentiators covering entire content lifecycle, content planning research, writing SEO optimization.Jain demonstrated platform TechCrunch. For example, green tea manufacturer wants create blog post benefits beverage use keyword create topic cluster reports, lists potential topics clusters keywords. If select topic cluster green tea benefits, keywords like green tea benefits, dandelion benefits tazo green tea benefits, others.Story continuesThen open report want statistics 30 URLs ranked search engines already, outlines. Other information includes questions people asking topic Google Reddit, citations key search terms help content rank better search engines.Once content creator info, enter Scalenuts Cruise Mode. This provides title, defines outlet, provides writing points creates draft, SEO insights use optimize content.Jain says users relied Scalenut create indepth blog posts, howto guides, listicles, posts, FAQs comparison posts. Scalenuts SEO optimization features tells users long posts be. It write blog posts long 10,000 words, Jain says theyre usually 1,200 1,500 words.In prepared statement, Saama Capital managing partner Ash Lilani said, One common problem businesses face power organic marketing scaling content meaningfully. There easy way scale content Scalenut solving precisely robust AI platform. Recommended StoriesMiami HeraldIt broke soul: Loved ones mourn 5 young adults killed South Florida wrongway crashThousands amassed online grieve young adults died tragic wrongway crash. 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Three engineers run numbersThe Conversation5 min read POPULARSoCal slightly cooler Wednesday, chance storms mountainsKABC Los AngelesWakeUp Weather: Hot, humidWABC NYHitting road? MassDOT identifies areas concern Orange Line shutdown ramps upWFXTTaco time: Popular Columbia Mexican restaurant eyes second location MidlandsThe StateUpdate Washington state wildfiresKCPQ | 2,022 | [
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] | 1 | 2,111 |
https://newsable.asianetnews.com/technology/meta-llama-2-what-is-chatgpt-and-bard-rival-how-does-it-work-where-is-it-available-gcw-ry12ti | 2023-07-19T00:00:00 | en | Meta's Llama 2: What is ChatGPT and Bard's rival? How does it work? Where is it available? | Meta's Llama 2: What is ChatGPT and Bard's rival? How does it work? Where is it available?
MalayalamEnglishKannadaTeluguTamilBanglaHindi Languages IndiaDefenceEntertainmentAutoVideosFootballSportsPhotosWorldLifestyleTechnologyBusinessCareer English News Technology Meta's Llama 2: What is ChatGPT and Bard's rival? How does it work? Where is it available?Meta has announced the availability of Llama 2, the next generation of our open-source large language model, that rivals the likes of ChatGPT and Google’s Bard with a different approach. Know all about it.
Team Newsable First Published Jul 19, 2023, 10:50 AM IST Llama 2, the newest AI language model from Facebook's parent firm Meta, will compete with Google's Bard and OpenAI's ChatGPT. Llama 2, a replacement for Llama, was able to produce text and code much like previous chatbot systems. It may be used for both commercial and academic research at no cost.
The first iteration of Meta's model, unveiled in February, was referred to as LLaMA, or Large Language Model Meta AI. For its second iteration, Llama 2, it has now dispensed with the capital letters.
Similar to previous chatbot-like systems, Llama 2 is a set of models that may produce text and code in response to inputs. It is a large language model (LLM) that surpasses earlier models in terms of strength and effectiveness. It can produce more imaginative and educational writing than Google'sBard or ChatGPT since it was trained on a huge collection of text and code.
Llama 2 is accessible for free for both commercial and academic purposes. Using a mix of publicly available data, Meta trained Llama 2. In comparison to the previous generation of Llama models, it performs far better, claims Meta.
Llama 2 is a commercial version of its open-source artificial intelligence model Llama. It offers startups and other companies a cost-effective substitute to the pricey proprietary models provided by OpenAI and Google.
While the new Llama has been pre-trained on 40% more data than its predecessor and more than 1 million human annotations to fine-tune the quality of its outputs, the previous Llama was already competitive with models that power OpenAI's ChatGPT and Google's Bard chatbot.
Llama 2 will operate on the Windows operating system and is now included in the Azure AI model catalogue, according to the business. Hugging Face, Amazon Web Services (AWS), and other service providers also provide it.
Last Updated Jul 19, 2023, 10:50 AM ISTChatGPTLlamaLlama 2MetaBard Follow Us: Download App: RELATED STORIESRealme C53, Pad 2 to launch today: When, where to watch event LIVE? What to expect?Samsung Galaxy Z Fold 5, Galaxy Z Flip 5 to launch on July 26; Check out expected price & coloursMeta's Threads to introduce 'Direct Message' feature soon: ReportAFib History available for Apple Watch users in India; Know how to set it upGoogle Pixel 8 series to launch after iPhone 15? Check out expected specs, price, other detailsRecent StoriesOppenheimer: Christopher Nolan compares AI (Artificial Intelligence) to the atomic bombKerala Lottery Results Fifty Fifty FF-58 19 July 2023: Who will win first prize worth Rs 1 crore? Check HereWATCH: Spurned boyfriend kills ex-girlfriend's new fiance; then shoots himselfRealme C53, Pad 2 to launch today: When, where to watch event LIVE? What to expect?Rhea Chakraborty gets relief in DRUGS case; actress shares cryptic message Recent VideosMen hold nude protest In Raipur; demand action against employees with fake caste certificates | WATCHThe Drive EP14: 4 Best 7-seater MPVs in India in 2023 - WATCH'Peace yet to return to Manipur...' Weightlifter Mirabai Chanu appeals to PM Modi (WATCH)'Unmanned naval surface vehicles' blew up bridge to Crimea that Vladimir Putin opened (WATCH)Himachal Pradesh: Cloudburst wreaks havoc in Kullu, several houses washed away; one dead | WATCH popular categoriesIndiaSportsEntertainmentWeird NewsTechnologyElections Select LanguageMalayalamEnglishKannadaTeluguTamilBanglaHindiFollow us on: About UsTerms of UsePrivacy PolicyComplaint Redressal - WebsiteCompliance Report DigitalInvestors© Copyright 2023 Asianet News Media & Entertainment Private Limited | All Rights Reserved | Meta's Llama 2: What is ChatGPT and Bard's rival? How does it work? Where is it available? | Metas Llama 2: What ChatGPT Bards rival? How work? Where available? MalayalamEnglishKannadaTeluguTamilBanglaHindi Languages IndiaDefenceEntertainmentAutoVideosFootballSportsPhotosWorldLifestyleTechnologyBusinessCareer English News Technology Metas Llama 2: What ChatGPT Bards rival? How work? Where available?Meta announced availability Llama 2, generation opensource large language model, rivals likes ChatGPT Googles Bard different approach. Know it. Team Newsable First Published Jul 19, 2023, 10:50 AM IST Llama 2, newest AI language model Facebooks parent firm Meta, compete Googles Bard OpenAIs ChatGPT. Llama 2, replacement Llama, able produce text code like previous chatbot systems. It commercial academic research cost. The iteration Metas model, unveiled February, referred LLaMA, Large Language Model Meta AI. For second iteration, Llama 2, dispensed capital letters. Similar previous chatbotlike systems, Llama 2 set models produce text code response inputs. It large language model LLM surpasses earlier models terms strength effectiveness. It produce imaginative educational writing GooglesBard ChatGPT trained huge collection text code. Llama 2 accessible free commercial academic purposes. Using mix publicly available data, Meta trained Llama 2. In comparison previous generation Llama models, performs far better, claims Meta. Llama 2 commercial version opensource artificial intelligence model Llama.It offers startups companies costeffective substitute pricey proprietary models provided OpenAI Google. While new Llama pretrained 40 data predecessor 1 million human annotations finetune quality outputs, previous Llama competitive models power OpenAIs ChatGPT Googles Bard chatbot. Llama 2 operate Windows operating included Azure AI model catalogue, according business. Hugging Face, Amazon Web Services AWS, service providers provide it. Last Updated Jul 19, 2023, 10:50 AM ISTChatGPTLlamaLlama 2MetaBard : Download App: RELATED STORIESRealme C53, Pad 2 launch today: When, watch event LIVE? What expect?Samsung Galaxy Z Fold 5, Galaxy Z Flip 5 launch July 26; Check expected price coloursMetas Threads introduce Direct Message feature soon: ReportAFib History available Apple Watch users India; Know set upGoogle Pixel 8 series launch iPhone 15? Check expected specs, price, detailsRecent StoriesOppenheimer: Christopher Nolan compares AI Artificial Intelligence atomic bombKerala Lottery Results Fifty Fifty FF58 19 July 2023: Who win prize worth Rs 1 crore? Check HereWATCH: Spurned boyfriend kills exgirlfriends new fiance; shoots himselfRealme C53, Pad 2 launch today: When, watch event LIVE? What expect?Rhea Chakraborty gets relief DRUGS case; actress shares cryptic message Recent VideosMen hold nude protest In Raipur; demand action employees fake caste certificates WATCHThe Drive EP14: 4 Best 7seater MPVs India 2023 WATCHPeace return Manipur... Weightlifter Mirabai Chanu appeals PM Modi WATCHUnmanned naval surface vehicles blew bridge Crimea Vladimir Putin opened WATCHHimachal Pradesh: Cloudburst wreaks havoc Kullu, houses washed away; dead WATCH popular categoriesIndiaSportsEntertainmentWeird NewsTechnologyElections Select LanguageMalayalamEnglishKannadaTeluguTamilBanglaHindiFollow on: Terms UseComplaint Redressal WebsiteCompliance Report DigitalInvestors 2023 Asianet News Media Entertainment Private Limited | 2,023 | [
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https://newsfinancialanalyst.com/artificial-intelligence-in-transportation-market-global-industry-analysis-size-share-growth-trends-and-forecast-2019-2025/ | 2020-02-24T00:00:00 | en | ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET – GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 – 2025 – Financial Analyst |
ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET – GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 – 2025 – Financial Analyst
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ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET – GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 – 2025
February 24, 2020 wiseguyreports Finance Comments Off on ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET – GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 – 2025
New Study On “2019-2025 Artificial Intelligence in Transportation Market Global Key Player, Demand, Growth, Opportunities and Analysis Forecast” Added to Wise Guy Reports Database
Global Artificial Intelligence in Transportation Industry
New Study On “2019-2025 Artificial Intelligence in Transportation Market Global Key Player, Demand, Growth, Opportunities and Analysis Forecast” Added to Wise Guy Reports Database
The global Artificial Intelligence in Transportation market is valued at million US$ in 2018 is expected to reach million US$ by the end of 2025, growing at a CAGR of during 2019-2025.
This report focuses on Artificial Intelligence in Transportation volume and value at global level, regional level and company level. From a global perspective, this report represents overall Artificial Intelligence in Transportation market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.
The following manufacturers are covered:
Continental
Magna
Bosch
Valeo
ZF
Scania
Paccar
Volvo
Daimler
Nvidia
Alphabet
Intel
Microsoft
Request Free Sample Report @ https://www.wiseguyreports.com/sample-request/3891442-global-artificial-intelligence-in-transportation-market-research-report-2019
Segment by Regions
North America
Europe
China
Japan
Segment by Type
by Offering
Hardware
Software
by Process
Data Mining
Image Recognition
Signal Recognition
Segment by Application
Semi & Full-Autonomous
HMI
Platooning
For Detailed Reading Please visit WiseGuy Reports @ https://www.wiseguyreports.com/reports/3891442-global-artificial-intelligence-in-transportation-market-research-report-2019
Some Major Points from Table of content:
Executive Summary
1 Artificial Intelligence in Transportation Market Overview
1.1 Product Overview and Scope of Artificial Intelligence in Transportation
1.2 Artificial Intelligence in Transportation Segment by Offering
1.2.1 Global Artificial Intelligence in Transportation Production Growth Rate Comparison by Offering (2014-2025)
1.2.2 Hardware
1.2.3 Software
1.3 Artificial Intelligence in Transportation Segment by Application
1.3.1 Artificial Intelligence in Transportation Consumption Comparison by Application (2014-2025)
1.3.2 Semi & Full-Autonomous
1.3.3 HMI
1.3.4 Platooning
1.4 Global Artificial Intelligence in Transportation Market by Region
1.4.1 Global Artificial Intelligence in Transportation Market Size Region
1.4.2 North America Status and Prospect (2014-2025)
1.4.3 Europe Status and Prospect (2014-2025)
1.4.4 China Status and Prospect (2014-2025)
1.4.5 Japan Status and Prospect (2014-2025)
1.4.6 Southeast Asia Status and Prospect (2014-2025)
1.4.7 India Status and Prospect (2014-2025)
1.5 Global Artificial Intelligence in Transportation Market Size
1.5.1 Global Artificial Intelligence in Transportation Revenue (2014-2025)
1.5.2 Global Artificial Intelligence in Transportation Production (2014-2025)
2 Global Artificial Intelligence in Transportation Market Competition by Manufacturers
2.1 Global Artificial Intelligence in Transportation Production Market Share by Manufacturers (2014-2019)
2.2 Global Artificial Intelligence in Transportation Revenue Share by Manufacturers (2014-2019)
2.3 Global Artificial Intelligence in Transportation Average Price by Manufacturers (2014-2019)
2.4 Manufacturers Artificial Intelligence in Transportation Production Sites, Area Served, Product Types
2.5 Artificial Intelligence in Transportation Market Competitive Situation and Trends
2.5.1 Artificial Intelligence in Transportation Market Concentration Rate
2.5.2 Artificial Intelligence in Transportation Market Share of Top 3 and Top 5 Manufacturers
2.5.3 Mergers & Acquisitions, Expansion
3 Global Artificial Intelligence in Transportation Production Market Share by Regions
3.1 Global Artificial Intelligence in Transportation Production Market Share by Regions
3.2 Global Artificial Intelligence in Transportation Revenue Market Share by Regions (2014-2019)
3.3 Global Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
3.4 North America Artificial Intelligence in Transportation Production
3.4.1 North America Artificial Intelligence in Transportation Production Growth Rate (2014-2019)
3.4.2 North America Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
3.5 Europe Artificial Intelligence in Transportation Production
3.5.1 Europe Artificial Intelligence in Transportation Production Growth Rate (2014-2019)
3.5.2 Europe Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
3.6 China Artificial Intelligence in Transportation Production (2014-2019)
3.6.1 China Artificial Intelligence in Transportation Production Growth Rate (2014-2019)
3.6.2 China Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
3.7 Japan Artificial Intelligence in Transportation Production (2014-2019)
3.7.1 Japan Artificial Intelligence in Transportation Production Growth Rate (2014-2019)
3.7.2 Japan Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
4 Global Artificial Intelligence in Transportation Consumption by Regions
4.1 Global Artificial Intelligence in Transportation Consumption by Regions
4.2 North America Artificial Intelligence in Transportation Consumption (2014-2019)
4.3 Europe Artificial Intelligence in Transportation Consumption (2014-2019)
4.4 China Artificial Intelligence in Transportation Consumption (2014-2019)
4.5 Japan Artificial Intelligence in Transportation Consumption (2014-2019)
5 Global Artificial Intelligence in Transportation Production, Revenue, Price Trend by Type
5.1 Global Artificial Intelligence in Transportation Production Market Share by Type (2014-2019)
5.2 Global Artificial Intelligence in Transportation Revenue Market Share by Type (2014-2019)
5.3 Global Artificial Intelligence in Transportation Price by Type (2014-2019)
5.4 Global Artificial Intelligence in Transportation Production Growth by Type (2014-2019)
6 Global Artificial Intelligence in Transportation Market Analysis by Applications
6.1 Global Artificial Intelligence in Transportation Consumption Market Share by Application (2014-2019)
6.2 Global Artificial Intelligence in Transportation Consumption Growth Rate by Application (2014-2019)
7 Company Profiles and Key Figures in Artificial Intelligence in Transportation Business
7.1 Continental
7.1.1 Continental Artificial Intelligence in Transportation Production Sites and Area Served
7.1.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.1.3 Continental Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.1.4 Main Business and Markets Served
7.2 Magna
7.2.1 Magna Artificial Intelligence in Transportation Production Sites and Area Served
7.2.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.2.3 Magna Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.2.4 Main Business and Markets Served
7.3 Bosch
7.3.1 Bosch Artificial Intelligence in Transportation Production Sites and Area Served
7.3.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.3.3 Bosch Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.3.4 Main Business and Markets Served
7.4 Valeo
7.4.1 Valeo Artificial Intelligence in Transportation Production Sites and Area Served
7.4.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.4.3 Valeo Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.4.4 Main Business and Markets Served
7.5 ZF
7.5.1 ZF Artificial Intelligence in Transportation Production Sites and Area Served
7.5.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.5.3 ZF Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.5.4 Main Business and Markets Served
7.6 Scania
7.6.1 Scania Artificial Intelligence in Transportation Production Sites and Area Served
7.6.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.6.3 Scania Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.6.4 Main Business and Markets Served
7.7 Paccar
7.7.1 Paccar Artificial Intelligence in Transportation Production Sites and Area Served
7.7.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.7.3 Paccar Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.7.4 Main Business and Markets Served
7.8 Volvo
7.8.1 Volvo Artificial Intelligence in Transportation Production Sites and Area Served
7.8.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.8.3 Volvo Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.8.4 Main Business and Markets Served
7.9 Daimler
7.9.1 Daimler Artificial Intelligence in Transportation Production Sites and Area Served
7.9.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.9.3 Daimler Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.9.4 Main Business and Markets Served
7.10 Nvidia
7.10.1 Nvidia Artificial Intelligence in Transportation Production Sites and Area Served
7.10.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.10.3 Nvidia Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.10.4 Main Business and Markets Served
7.11 Alphabet
7.12 Intel
7.13 Microsoft
Continued….
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| ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET | ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 2025 Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 2025 February 24, 2020 wiseguyreports Finance Comments Off ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 2025 New Study On 20192025 Artificial Intelligence Transportation Market Global Key Player, Demand, Growth, Opportunities Analysis Forecast Added Wise Guy Reports Database Global Artificial Intelligence Transportation Industry New Study On 20192025 Artificial Intelligence Transportation Market Global Key Player, Demand, Growth, Opportunities Analysis Forecast Added Wise Guy Reports Database The global Artificial Intelligence Transportation market valued million US 2018 expected reach million US end 2025, growing CAGR 20192025. This report focuses Artificial Intelligence Transportation volume value global level, regional level company level. From global perspective, report represents overall Artificial Intelligence Transportation market size analyzing historical data future prospect. Regionally, report focuses key regions: North America, Europe, China Japan. At company level, report focuses production capacity, exfactory price, revenue market share manufacturer covered report. The following manufacturers covered: Continental Magna Bosch Valeo ZF Scania Paccar Volvo Daimler Nvidia Alphabet Intel Microsoft Request Free Sample Report @ Segment Regions North America Europe China Japan Segment Type Offering Hardware Software Process Data Mining Image Recognition Signal Recognition Segment Application Semi FullAutonomous HMI Platooning For Detailed Reading Please visit WiseGuy Reports @ Some Major Points Table content: Executive Summary 1 Artificial Intelligence Transportation Market Overview 1.1 Product Overview Scope Artificial Intelligence Transportation 1.2 Artificial Intelligence Transportation Segment Offering 1.2.1 Global Artificial Intelligence Transportation Production Growth Rate Comparison Offering 20142025 1.2.2 Hardware 1.2.3 Software 1.3 Artificial Intelligence Transportation Segment Application 1.3.1 Artificial Intelligence Transportation Consumption Comparison Application 20142025 1.3.2 Semi FullAutonomous 1.3.3 HMI 1.3.4 Platooning 1.4 Global Artificial Intelligence Transportation Market Region 1.4.1 Global Artificial Intelligence Transportation Market Size Region 1.4.2 North America Status Prospect 20142025 1.4.3 Europe Status Prospect 20142025 1.4.4 China Status Prospect 20142025 1.4.5 Japan Status Prospect 20142025 1.4.6 Southeast Asia Status Prospect 20142025 1.4.7 India Status Prospect 20142025 1.5 Global Artificial Intelligence Transportation Market Size 1.5.1 Global Artificial Intelligence Transportation Revenue 20142025 1.5.2 Global Artificial Intelligence Transportation Production 20142025 2 Global Artificial Intelligence Transportation Market Competition Manufacturers 2.1 Global Artificial Intelligence Transportation Production Market Share Manufacturers 20142019 2.2 Global Artificial Intelligence Transportation Revenue Share Manufacturers 20142019 2.3 Global Artificial Intelligence Transportation Average Price Manufacturers 20142019 2.4 Manufacturers Artificial Intelligence Transportation Production Sites, Area Served, Product Types 2.5 Artificial Intelligence Transportation Market Competitive Situation Trends 2.5.1 Artificial Intelligence Transportation Market Concentration Rate 2.5.2 Artificial Intelligence Transportation Market Share Top 3 Top 5 Manufacturers 2.5.3 Mergers Acquisitions, Expansion 3 Global Artificial Intelligence Transportation Production Market Share Regions 3.1 Global Artificial Intelligence Transportation Production Market Share Regions 3.2 Global Artificial Intelligence Transportation Revenue Market Share Regions 20142019 3.3 Global Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 3.4 North America Artificial Intelligence Transportation Production 3.4.1 North America Artificial Intelligence Transportation Production Growth Rate 20142019 3.4.2 North America Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 3.5 Europe Artificial Intelligence Transportation Production 3.5.1 Europe Artificial Intelligence Transportation Production Growth Rate 20142019 3.5.2 Europe Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 3.6 China Artificial Intelligence Transportation Production 20142019 3.6.1 China Artificial Intelligence Transportation Production Growth Rate 20142019 3.6.2 China Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 3.7 Japan Artificial Intelligence Transportation Production 20142019 3.7.1 Japan Artificial Intelligence Transportation Production Growth Rate 20142019 3.7.2 Japan Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 4 Global Artificial Intelligence Transportation Consumption Regions 4.1 Global Artificial Intelligence Transportation Consumption Regions 4.2 North America Artificial Intelligence Transportation Consumption 20142019 4.3 Europe Artificial Intelligence Transportation Consumption 20142019 4.4 China Artificial Intelligence Transportation Consumption 20142019 4.5 Japan Artificial Intelligence Transportation Consumption 20142019 5 Global Artificial Intelligence Transportation Production, Revenue, Price Trend Type 5.1 Global Artificial Intelligence Transportation Production Market Share Type 20142019 5.2 Global Artificial Intelligence Transportation Revenue Market Share Type 20142019 5.3 Global Artificial Intelligence Transportation Price Type 20142019 5.4 Global Artificial Intelligence Transportation Production Growth Type 20142019 6 Global Artificial Intelligence Transportation Market Analysis Applications 6.1 Global Artificial Intelligence Transportation Consumption Market Share Application 20142019 6.2 Global Artificial Intelligence Transportation Consumption Growth Rate Application 20142019 7 Company Profiles Key Figures Artificial Intelligence Transportation Business 7.1 Continental 7.1.1 Continental Artificial Intelligence Transportation Production Sites Area Served 7.1.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.1.3 Continental Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.1.4 Main Business Markets Served 7.2 Magna 7.2.1 Magna Artificial Intelligence Transportation Production Sites Area Served 7.2.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.2.3 Magna Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.2.4 Main Business Markets Served 7.3 Bosch 7.3.1 Bosch Artificial Intelligence Transportation Production Sites Area Served 7.3.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.3.3 Bosch Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.3.4 Main Business Markets Served 7.4 Valeo 7.4.1 Valeo Artificial Intelligence Transportation Production Sites Area Served 7.4.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.4.3 Valeo Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.4.4 Main Business Markets Served 7.5 ZF 7.5.1 ZF Artificial Intelligence Transportation Production Sites Area Served 7.5.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.5.3 ZF Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.5.4 Main Business Markets Served 7.6 Scania 7.6.1 Scania Artificial Intelligence Transportation Production Sites Area Served 7.6.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.6.3 Scania Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.6.4 Main Business Markets Served 7.7 Paccar 7.7.1 Paccar Artificial Intelligence Transportation Production Sites Area Served 7.7.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.7.3 Paccar Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.7.4 Main Business Markets Served 7.8 Volvo 7.8.1 Volvo Artificial Intelligence Transportation Production Sites Area Served 7.8.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.8.3 Volvo Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.8.4 Main Business Markets Served 7.9 Daimler 7.9.1 Daimler Artificial Intelligence Transportation Production Sites Area Served 7.9.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.9.3 Daimler Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.9.4 Main Business Markets Served 7.10 Nvidia 7.10.1 Nvidia Artificial Intelligence Transportation Production Sites Area Served 7.10.2 Artificial Intelligence Transportation Product Introduction, Application Specification 7.10.3 Nvidia Artificial Intelligence Transportation Production, Revenue, Price Gross Margin 20142019 7.10.4 Main Business Markets Served 7.11 Alphabet 7.12 Intel 7.13 Microsoft Continued. For information query mail at[emailprotected] Wise Guy Reports Wise Guy Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Wise Guy Reports understand essential statistical surveying information organization association. Therefore, associated publishers research firms specialized specific domains, ensuring receive reliable date research data available. Us: Norah Trent 1 646 845 9349 44 208 133 9349 Follow LinkedIn: Media Company Name: Person:Norah Trent Email:Send Email Phone:1 646 845 9349, 44 208 133 9349 City:Pune State:Maharashtra Country:India Website: wiseguyreports Post Views: 31 Post navigation Previous Post:IoT Management Software Market 2019 Development Trend, Segmentation Industry Forecasts 2025Next Post:UHT PROCESSING ULTRAHIGH TEMPERATURE MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2019 2025 Popular Shea Butter Market: Food Sector Market Value Clocked USD 700 Mln 2018 end Smoke Camera Market Segmentation, Parameters Prospects 2019 2025 Market Research Report Equine Pharmaceuticals Supplements Global Market Demand, Growth, Opportunities, Analysis Top Key Player Forecast 2025 Global Breakfast Foods Market Research Report 2019 Analysis Forecast To 2023 Ammeter Market Segmentation, Parameters Prospects 2019 2025 Market Research Report Home Healthcare Market Growing Demand 2019 2023 Data Center Liquid Immersion Cooling Market 2019 Global Industry Applications Analysis, Opportunities, Size, Share, Growth, Trends Forecast To 2025 Online Billing Software Market Size, Trend, Segmentation, Growth And Opportunities Forecast To 2025 SoftwareDefined Wide Area Network Industry 2019 Business Overview, Analysis, Trends, Growth, Share, Applications, Development Forecast 2025 Zwitterionic Detergents Market Outlook 2019: Global Opportunity Demand Analysis, Market Forecast 2025 Automotive Financing Market Outlook 2019: Global Opportunity Demand Analysis, Market Forecast 2025 DIGITAL PROCESS AUTOMATION MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2018 2025 Global Almond Flour Market 2018 Industry Analysis, Size, Share, Strategies Forecast To 2025 VR GLOVES MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2018 2022 HEALTHCARE CRM AND CONTACT CENTRE SYSTEMS MARKET GLOBAL INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS AND FORECAST 2018 2025 Financial Analyst hc Powered WordPress Tortuga. | 2,020 | [
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https://newsfinancialanalyst.com/global-electronic-circuit-board-underfill-material-market-2019-by-major-companies-henkel-namics-corporation-ai-technology-protavic-international/ | 2020-01-30T00:00:00 | en | Global Electronic Circuit Board Underfill Material Market 2019 by Major Companies – Henkel, Namics Corporation, AI Technology, Protavic International – Financial Analyst |
Global Electronic Circuit Board Underfill Material Market 2019 by Major Companies – Henkel, Namics Corporation, AI Technology, Protavic International – Financial Analyst
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Global Electronic Circuit Board Underfill Material Market 2019 by Major Companies – Henkel, Namics Corporation, AI Technology, Protavic International
January 30, 2020 david Business, World Comments Off on Global Electronic Circuit Board Underfill Material Market 2019 by Major Companies – Henkel, Namics Corporation, AI Technology, Protavic International
Global Electronic Circuit Board Underfill Material Market Insights, Forecast to 2025 gives market intellect in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision making for the existing market players as well as those willing to enter the market.
The study aims to collate key data and information on the market research industry, on a worldwide basis, and it would greatly value the readers’ response to this survey. It provides very valuable information on the evolution of the Electronic Circuit Board Underfill Material industry.
In addition, the growing demand for Electronic Circuit Board Underfill Material in the industry for the manufacturing process is expected to positively drive the market over the forecast period. The report reviews the size and performance of the market research industry and explores how the research market continues to expand, using data collected by national research associations, leading companies, independent analysts, as well as our research representatives.
DOWNLOAD FREE SAMPLE REPORT: https://researchstore.biz/report/global-electronic-circuit-board-underfill-material-market-2/70540/#requestforsample
The manufacturers are penetrating into various market segments by introducing Electronic Circuit Board Underfill Material product types, along with applications including CSP (Chip Scale Package), BGA (Ball Grid array), Flip Chips, , Electronic Circuit Board Underfill Material Production . The rising demand for these products is expected to boost the demand among the consumers.
While, the goodness is that the industry still manages to show global growth in very challenging times. Companies in the industry are focusing on increasing their production capacities to cater to the rising product demand.
Following Are The Key Features Of The Report:
Market structure
Industry life cycle analysis
Market environment analysis
Porter’s five forces analysis
Market trend and forecast analysis
Market segment trend and forecast
Competitive landscape and dynamics
Associated growth opportunities
Strategic growth opportunities for the existing and new players
The aforementioned factors are expected to augment the product demand over the next eight years. This year’s report includes the research turnover and growth data of number of major effective countries North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Europe, Germany, France, UK, Italy, Russia, Rest of Europe, Central & South America, Brazil, Rest of South America, Middle East & Africa, GCC Countries, Turkey, Egypt, South Africa, Rest of Middle East & Africa.
ACCESS FULL REPORT: https://researchstore.biz/report/global-electronic-circuit-board-underfill-material-market-2/70540/
Many notable companies rivalling in the Electronic Circuit Board Underfill Material market Henkel, Namics Corporation, AI Technology, Protavic International, H.B.Fuller, ASE Group, Hitachi Chemical, Indium Corporation, Zymet, LORD Corporation, Dow Chemical, Panasonic, Dymax CorporationElectronic Circuit Board Underfill Material are involved in the Electronic Circuit Board Underfill Material market’s manufacturing process and buyers are engaged in long-term contracts with distributors for consistent product deliveries. Major technological shifts in manufacturing processes and advanced strategies are expected to positively affect the growth over the forecast period. The use of advanced strategy has enabled manufacturers to come up with innovative product solution.
The report is widely used as a point of reference for business investment plans, growth opportunities, merger and acquisition preparation, research projects, academic theses, market studies and reports, as well as advertisements.
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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| Global Electronic Circuit Board Underfill Material Market 2019 by Major Companies | Global Electronic Circuit Board Underfill Material Market 2019 Major Companies Henkel, Namics Corporation, AI Technology, Protavic International Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Global Electronic Circuit Board Underfill Material Market 2019 Major Companies Henkel, Namics Corporation, AI Technology, Protavic International January 30, 2020 david Business, World Comments Off Global Electronic Circuit Board Underfill Material Market 2019 Major Companies Henkel, Namics Corporation, AI Technology, Protavic International Global Electronic Circuit Board Underfill Material Market Insights, Forecast 2025 gives market intellect comprehensive way. The report structure kept offers maximum business value. It provides critical insights market dynamics enable strategic decision making existing market players willing enter market. The study aims collate key data information market research industry, worldwide basis, greatly value readers response survey. It provides valuable information evolution Electronic Circuit Board Underfill Material industry. In addition, growing demand Electronic Circuit Board Underfill Material industry manufacturing process expected positively drive market forecast period. The report reviews size performance market research industry explores research market continues expand, data collected national research associations, leading companies, independent analysts, research representatives. DOWNLOAD FREE SAMPLE REPORT: The manufacturers penetrating market segments introducing Electronic Circuit Board Underfill Material product types, applications including CSP Chip Scale Package, BGA Ball Grid array, Flip Chips, , Electronic Circuit Board Underfill Material Production . The rising demand products expected boost demand consumers. While, goodness thatthe industry manages global growth challenging times. Companies industry focusing increasing production capacities cater rising product demand. Following Are The Key Features Of The Report: Market structure Industry life cycle analysis Market environment analysis Porters forces analysis Market trend forecast analysis Market segment trend forecast Competitive landscape dynamics Associated growth opportunities Strategic growth opportunities existing new players The aforementioned factors expected augment product demand years. This years report includes research turnover growth data number major effective countries North America, United States, Canada, Mexico, AsiaPacific, China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Europe, Germany, France, UK, Italy, Russia, Rest Europe, Central South America, Brazil, Rest South America, Middle East Africa, GCC Countries, Turkey, Egypt, South Africa, Rest Middle East Africa. ACCESS FULL REPORT: Many notable companies rivalling Electronic Circuit Board Underfill Material market Henkel, Namics Corporation, AI Technology, Protavic International, H.B.Fuller, ASE Group, Hitachi Chemical, Indium Corporation, Zymet, LORD Corporation, Dow Chemical, Panasonic, Dymax CorporationElectronic Circuit Board Underfill Material involved Electronic Circuit Board Underfill Material markets manufacturing process buyers engaged longterm contracts distributors consistent product deliveries. Major technological shifts manufacturing processes advanced strategies expected positively affect growth forecast period. The use advanced strategy enabled manufacturers come innovative product solution. The report widely point reference business investment plans, growth opportunities, merger acquisition preparation, research projects, academic theses, market studies reports, advertisements. Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs. david Post Views: 55 Global Electronic Circuit Board Underfill Material Industry AnalysisGlobal Electronic Circuit Board Underfill Material Market 2019Global Electronic Circuit Board Underfill Material Market PriceGlobal Electronic Circuit Board Underfill Material Market ShareGlobal Electronic Circuit Board Underfill Material Market Trends Post navigation Previous Post:Global Top Load Cartoner TLC Market 2019 Major Companies Robert Bosch, Omori Machinery, Molins PLC, Tetra Pak International S.ANext Post:Global Medical Injection Needles Market 2019 Major Companies Becton, Dickinson Company, B Braun Melsungen AG, Medtronic Popular Global Timing Belt Market 2018 Research Report, Demand, Price, Region Forecast 2023 Global Highpressure Sodium Light Market Status Outlook 20182023 Global Industrial Thermostat Market Segment Up 2018 Forecast Till 2023 Global Steam Sterilizer Market Size, Status Forecast 2023 NonStick Pans Market 2025 Trends Outlook Ceramic Balls Market 2019 Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2025 20182025 Tour Operator Software Market Global Key Player, Demand, Growth, Opportunities Analysis Forecast Organ Transplantation Immunosuppressive Drug Market Global Industry Analysis, Size, Share, Growth, Trends Forecast 2018 2025 AtoN Management Monitoring SystemMarket 2024: Market Share, Topmost Players, Revenue, Production, Technology, Key Regions 2018 Future Global Knife Sharpener Market 2025 2018 Future Global Water Dispensers Market 2025 Growth Opportunities, Trends Outlook Heating Cooling Ceiling Systems Market Competitors growth prospects, Product Key Features, Industry Growth Rate Laboratory Furniture Market 2025 Trends Outlook Auto Electronics Market Development Trends Forecasts Report 20182023 Potato Protein Market: Segmented Applications Geography Trends, Growth Forecasts 2023 Spaceflight News hc Powered WordPress Tortuga. | 2,020 | [
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https://newsghana.com.gh/mastercard-network-international-to-fight-fraud-through-ai/ | 2023-02-11T00:00:00 | en | Mastercard, Network International to fight fraud through AI | News Ghana |
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Home Science Technology Mastercard, Network International to fight fraud through AI
ScienceTechnology
Mastercard, Network International to fight fraud through AI
By Techgh24 - February 11, 2023 0
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Mastercard
Mastercard and digital commerce company, Network International, have collaborated to release an Artificial Intelligence (AI) solution fighting transaction fraud across the Middle East and Africa.
Network International will launch Mastercard’s Brighterion AI technology, which is designed to combat rising cases of fraud, declines, and chargebacks and enable merchant monitoring and fraud screening.
The AI technology offers real-time fraud prevention and employs predictive methods to reduce risks through screening.
Payments giant Mastercard invested $300 million in Network in 2019 as a cornerstone investor, and committed to developing payment solutions with the company.
Khalid Elgibali, division president of Middle East and North Africa at Mastercard, stated: “Brighterion Artificial Intelligence capabilities are helping to reduce fraud and merchant risk, leading to safer transactions and a better consumer experience.”
Nandan Mer, group chief executive officer at Network International, commented: “We are delighted to strengthen our partnership with Mastercard and expect to launch this revolutionary new AI technology across the region early this year. Adding Brighterion to Network’s range of solutions allows us to enhance our ability to provide financial institutions, merchants and their customers with safe, secure and seamless processing.”
Mastercard recently collaborated with Zoodpay to launch an installment card across the Eastern Europe, Middle East, and Africa (EEMEA) region.
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Network International launch Mastercards Brighterion AI technology, designed combat rising cases fraud, declines, chargebacks enable merchant monitoring fraud screening. The AI technology offers realtime fraud prevention employs predictive methods reduce risks screening. Payments giant Mastercard invested 300 million Network 2019 cornerstone investor, committed developing payment solutions company. Khalid Elgibali, division president Middle East North Africa Mastercard, stated: Brighterion Artificial Intelligence capabilities helping reduce fraud merchant risk, leading safer transactions better consumer experience. Nandan Mer, group chief executive officer Network International, commented: We delighted strengthen partnership Mastercard expect launch revolutionary new AI technology region early year. Adding Brighterion Networks range solutions allows enhance ability provide financial institutions, merchants customers safe, secure seamless processing. Mastercardrecently collaborated Zoodpay launch installment card Eastern Europe, Middle East, Africa EEMEA region. Send news stories newsghana101 Follow News Ghana Google News TAGSArtificial IntelligenceMasterCardMiddle EastNetwork International FacebookTwitterPinterestWhatsApp Previous articleTUDU blazes trail ecommerceNext articleGoogle loses US100 billion Bard unfortunate mistake Techgh24 RELATED ARTICLESMORE FROM AUTHOR PDL Statement On The Earthquake In The MiddleEast OpenAI ChatGPT: Things know revolutionary Chatbot Journal AILSCI recognises prominent female scientists field AI Are Ghana developing countries embracing AI Governance? 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https://newslanes.com/2022/12/15/machine-learning-reveals-how-black-holes-grow/ | 2022-12-16T00:00:00 | en | Machine Learning Reveals How Black Holes Grow |
Machine Learning Reveals How Black Holes Grow
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Machine learning reveals how black holes grow
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By Google News
Post date
December 15, 2022
No Comments on Machine learning reveals how black holes grow
As different as they may seem, black holes and Las Vegas have one thing in common: What happens there stays there — much to the frustration of astrophysicists trying to understand how, when and why black holes form and grow. Black holes are surrounded by a mysterious, invisible layer — the event horizon — from which nothing can escape, be it matter, light or information. The event horizon swallows every bit of evidence about the black hole’s past.
“Because of these physical facts, it had been thought impossible to measure how black holes formed,” said Peter Behroozi, an associate professor at the University of Arizona Steward Observatory and a project researcher at the National Astronomical Observatory of Japan.
Together with Haowen Zhang, a doctoral student at Steward, Behroozi led an international team to use machine learning and supercomputers to reconstruct the growth histories of black holes, effectively peeling back their event horizons to reveal what lies beyond.
Simulations of millions of computer-generated “universes” revealed that supermassive black holes grow in lockstep with their host galaxies. This had been suspected for 20 years, but scientists had not been able to confirm this relationship until now. A paper with the team’s findings has been published in Monthly Notices of the Royal Astronomical Society.
“If you go back to earlier and earlier times in the universe, you find that exactly the same relationship was present,” said Behroozi, a co-author on the paper. “So, as the galaxy grows from small to large, its black hole, too, is growing from small to large, in exactly the same way as we see in galaxies today all across the universe.”
Most, if not all, galaxies scattered throughout the cosmos are thought to harbor a supermassive black hole at their center. These black holes pack masses greater than 100,000 times that of the sun, with some boasting millions, even billions of solar masses. One of astrophysics’ most vexing questions has been how these behemoths grow as fast they do, and how they form in the first place.
To find answers, Zhang, Behroozi and their colleagues created Trinity, a platform that uses a novel form of machine learning capable of generating millions of different universes on a supercomputer, each of which obeys different physical theories for how galaxies should form. The researchers built a framework in which computers propose new rules for how supermassive black holes grow over time. They then used those rules to simulate the growth of billions of black holes in a virtual universe and “observed” the virtual universe to test whether it agreed with decades of actual observations of black holes across the real universe. After millions of proposed and rejected rule sets, the computers settled on rules that best described existing observations.
“We’re trying to understand the rules of how galaxies form,” Behroozi said. “In a nutshell, we make Trinity guess what the physical laws may be and let them go in a simulated universe and see how that universe turns out. Does it look anything like the real one or not?”
According to the researchers, this approach works equally well for anything else inside of the universe, not just galaxies.
The project’s name, Trinity, is in reference to its three main areas of study: galaxies, their supermassive black holes and their dark matter halos — vast cocoons of dark matter that are invisible to direct measurements but whose existence is necessary to explain the physical characteristics of galaxies everywhere. In previous studies, the researchers used an earlier version of their framework, called the UniverseMachine, to simulate millions of galaxies and their dark matter halos. The team discovered that galaxies growing in their dark matter halos follow a very specific relationship between the mass of the halo and the mass of the galaxy.
“In our new work, we added black holes to this relationship,” Behroozi said, “and then asked how black holes could grow in those galaxies to reproduce all the observations people have made about them.”
“We have very good observations of black hole masses,” said Zhang, the paper’s lead author. “However, those are largely restricted to the local universe. As you look farther away, it becomes increasingly difficult, and eventually impossible, to accurately measure the relationships between the masses of black holes and their host galaxies. Because of that uncertainty, observations can’t directly tell us whether that relationship holds up throughout the universe.”
Trinity allows astrophysicists to sidestep not only that limitation, but also the event horizon information barrier for individual black holes by stitching together information from millions of observed black holes at different stages of their growth. Even though no individual black hole’s history could be reconstructed, the researchers could measure the average growth history of all black holes taken together.
“If you put black holes into the simulated galaxies and enter rules about how they grow, you can compare the resulting universe to all the observations of actual black holes that we have,” Zhang said. “We can then reconstruct how any black hole and galaxy in the universe looked from today back to the very beginning of the cosmos.”
The simulations shed light on another puzzling phenomenon: Supermassive black holes — like the one found in the center of the Milky Way — grew most vigorously during their infancy, when the universe was only a few billion years old, only to slow down dramatically during the ensuing time, over the last 10 billion years or so.
“We’ve known for a while that galaxies have this strange behavior, where they reach a peak in their rate of forming new stars, then it dwindles over time, and then, later on, they stop forming stars altogether,” Behroozi said. “Now, we’ve been able to show that black holes do the same: growing and shutting off at the same times as their host galaxies. This confirms a decades-old hypothesis about black hole growth in galaxies.”
However, the result poses more questions, he added. Black holes are much smaller than the galaxies in which they live. If the Milky Way were scaled down to the size of Earth, its supermassive black hole would be the size of the period at the end of this sentence.
For the black hole to double in mass within the same timeframe as the larger galaxy requires synchronization between gas flows at vastly different scales. How black holes conspire with galaxies to achieve this balance is yet to be understood.
“I think the really original thing about Trinity is that it provides us with a way to find out what kind of connections between black holes and galaxies are consistent with a wide variety of different datasets and observational methods,” Zhang said. “The algorithm allows us to pick out precisely those relationships between dark matter halos, galaxies and black holes that are able to reproduce all the observations that have been made. It basically tells us, ‘OK, given all these data, we know the connection between galaxies and black holes must look like this, rather than like that.’ And that approach is extremely powerful.”
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| Machine Learning Reveals How Black Holes Grow | Machine Learning Reveals How Black Holes Grow Skip content NewslanesThe News Hub Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment More Automotive Pets Tech Sports for: Close search Close Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment MoreShow sub menu Automotive Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology Machine learning reveals black holes grow Post author By Google News Post date December 15, 2022 No Comments Machine learning reveals black holes grow As different seem, black holes Las Vegas thing common: What happens stays frustration astrophysicists trying understand how, black holes form grow. Black holes surrounded mysterious, invisible layer event horizon escape, matter, light information. The event horizon swallows bit evidence black holes past. Because physical facts, thought impossible measure black holes formed, said Peter Behroozi, associate professor University Arizona Steward Observatory project researcher National Astronomical Observatory Japan. Together Haowen Zhang, doctoral student Steward, Behroozi led international team use machine learning supercomputers reconstruct growth histories black holes, effectively peeling event horizons reveal lies beyond. Simulations millions computergenerated universes revealed supermassive black holes grow lockstep host galaxies. This suspected 20 years, scientists able confirm relationship now. A paper teams findings published Monthly Notices Royal Astronomical Society. If earlier earlier times universe, exactly relationship present, said Behroozi, coauthor paper. So, galaxy grows small large, black hole, too, growing small large, exactly way galaxies today universe. Most, all, galaxies scattered cosmos thought harbor supermassive black hole center. These black holes pack masses greater 100,000 times sun, boasting millions, billions solar masses. One astrophysics vexing questions behemoths grow fast do, form place. To answers, Zhang, Behroozi colleagues created Trinity, platform uses novel form machine learning capable generating millions different universes supercomputer, obeys different physical theories galaxies form. The researchers built framework computers propose new rules supermassive black holes grow time. They rules simulate growth billions black holes virtual universe observed virtual universe test agreed decades actual observations black holes real universe. After millions proposed rejected rule sets, computers settled rules best described existing observations. Were trying understand rules galaxies form, Behroozi said. In nutshell, Trinity guess physical laws let simulated universe universe turns out. Does look like real not? According researchers, approach works equally inside universe, galaxies. The projects name, Trinity, reference main areas study: galaxies, supermassive black holes dark matter halos vast cocoons dark matter invisible direct measurements existence necessary explain physical characteristics galaxies everywhere. In previous studies, researchers earlier version framework, called UniverseMachine, simulate millions galaxies dark matter halos. The team discovered galaxies growing dark matter halos follow specific relationship mass halo mass galaxy. In new work, added black holes relationship, Behroozi said, asked black holes grow galaxies reproduce observations people them. We good observations black hole masses, said Zhang, papers lead author. However, largely restricted local universe. As look farther away, increasingly difficult, eventually impossible, accurately measure relationships masses black holes host galaxies. Because uncertainty, observations directly tell relationship holds universe. Trinity allows astrophysicists sidestep limitation, event horizon information barrier individual black holes stitching information millions observed black holes different stages growth. Even individual black holes history reconstructed, researchers measure average growth history black holes taken together. If black holes simulated galaxies enter rules grow, compare resulting universe observations actual black holes have, Zhang said. We reconstruct black hole galaxy universe looked today beginning cosmos. The simulations shed light puzzling phenomenon: Supermassive black holes like center Milky Way grew vigorously infancy, universe billion years old, slow dramatically ensuing time, 10 billion years so. Weve known galaxies strange behavior, reach peak rate forming new stars, dwindles time, then, later on, stop forming stars altogether, Behroozi said. Now, weve able black holes same: growing shutting times host galaxies. This confirms decadesold hypothesis black hole growth galaxies. However, result poses questions, added. Black holes smaller galaxies live. If Milky Way scaled size Earth, supermassive black hole size period end sentence. For black hole double mass timeframe larger galaxy requires synchronization gas flows vastly different scales. How black holes conspire galaxies achieve balance understood. I think original thing Trinity provides way kind connections black holes galaxies consistent wide variety different datasets observational methods, Zhang said. The algorithm allows pick precisely relationships dark matter halos, galaxies black holes able reproduce observations made. It basically tells us, OK, given data, know connection galaxies black holes look like this, like that. And approach extremely powerful. Source link Share this:TweetPrintTelegram Related Tags Black Holes; Galaxies; Astrophysics; Astronomy; Cosmology; Big Bang; Stars; Dark Matter By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive 5 Movies That Likely Inspired Call Duty Modern Warfare 2 Game Artificial intelligence chatbots continue improve. How Leave Reply Cancel replyYou logged post comment. This site uses Akismet reduce spam. Learn comment data processed. UK US Canada Health Finance Science LifeStyle Showbiz Weird Travel World Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Follow GoogleNews Disclaimer Read latest worlds news stories. Discover popular trending news stories politics, entertainment, gaming, TV, lifestyle, science, celebrity tech. About Uss PolicyDisclaimerDMCADo Not Sell My InfoPrivacyTerms 2022 Newslanes Privacy Powered WordPress To Up | 2,022 | [
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https://newsparent.com/global-artificial-intelligence-advisory-service-market-trend-analysis-and-forecasts-to-2025-sap-google-amazon-salesforce-intel-baidu-fair-isaac-corporationfico-sas-institute/ | 2020-02-21T00:00:00 | en | Global Artificial Intelligence Advisory Service Market Trend Analysis, and Forecasts to 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute – News Parent |
Global Artificial Intelligence Advisory Service Market Trend Analysis, and Forecasts to 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute – News Parent
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Emerging NewsGlobal Artificial Intelligence Advisory Service Market Trend Analysis, and Forecasts to 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute
February 21, 2020 - by [email protected] - Leave a Comment
Artificial Intelligence Advisory Service Market:
Artificial intelligence technologies are already beginning to have a disruptive effect on established business models across virtually every industry, while simultaneously enabling new business processes that were not previously possible.
The growing demand for AI-powered services in the form of Application Programming Interface (API) and Software Development Kit (SDK) and increasing number of innovative startups are some of the major factors that are expected to drive the AI as a service market.
This report studies the Artificial Intelligence Advisory Service Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Artificial Intelligence Advisory Service Market analysis segmented by companies, region, type and applications in the report.
The major players covered in Artificial Intelligence Advisory Service Market: IBM, SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute, BigML and more…
Request a Sample Copy @ https://www.reportsandmarkets.com/sample-request/global-artificial-intelligence-advisory-service-market-size-status-and-forecast-2019-2025
Artificial Intelligence Advisory Service Market continues to evolve and expand in terms of the number of companies, products, and applications that illustrates the growth perspectives. The report also covers the list of Product range and Applications with SWOT analysis, CAGR value, further adding the essential business analytics. Artificial Intelligence Advisory Service Market research analysis identifies the latest trends and primary factors responsible for market growth enabling the Organizations to flourish with much exposure to the markets.
Market Segment by Regions, regional analysis covers
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)
Research objectives:
To study and analyze the global Artificial Intelligence Advisory Service market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2025.
To understand the structure of Artificial Intelligence Advisory Service market by identifying its various sub segments.
Focuses on the key global Artificial Intelligence Advisory Service players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence Advisory Service 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 size of Artificial Intelligence Advisory Service 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.
Key Developments in the Artificial Intelligence Advisory Service Market:
To describe Artificial Intelligence Advisory Service Introduction, product type and application, market overview, market analysis by countries, market opportunities, market risk, market driving force;
To analyze the manufacturers of Artificial Intelligence Advisory Service, with profile, main business, news, sales, price, revenue and market share in 2017 and 2020;
To display the competitive situation among the top manufacturers in Global, with sales, revenue and market share in 2017 and 2020;
To show the market by type and application, with sales, price, revenue, market share and growth rate by type and application, from 2014 to 2020;
To analyze the key countries by manufacturers, Type and Application, covering North America, Europe, Asia Pacific, Middle-East and South America, with sales, revenue and market share by manufacturers, types and applications;
Artificial Intelligence Advisory Service market forecast, by countries, type and application, with sales, price, revenue and growth rate forecast, from 2020 to 2025;
To analyze the manufacturing cost, key raw materials and manufacturing process etc.
To analyze the industrial chain, sourcing strategy and downstream end users (buyers);
To describe Artificial Intelligence Advisory Service sales channel, distributors, traders, dealers etc.
To describe Artificial Intelligence Advisory Service Research Findings and Conclusion, Appendix, methodology and data source
Know More about This Report @ https://www.reportsandmarkets.com/enquiry/global-artificial-intelligence-advisory-service-market-size-status-and-forecast-2019-2025
The Artificial Intelligence Advisory Service Market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.
In this study, the years considered estimating the market size of Artificial Intelligence Advisory Service are as follows:
History Year: 2014-2017
Base Year: 2017
Estimated Year: 2020
Forecast Year 2020 to 2025
This report includes the estimation of market size for value (million USD) and volume (M Units). Top-down and bottom-up approaches have been used to estimate and validate the market size of Artificial Intelligence Advisory Service market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
Table of Contents: Artificial Intelligence Advisory Service Market
Chapter 1: Overview of Artificial Intelligence Advisory Service
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis of Artificial Intelligence Advisory Service
Chapter 6: Artificial Intelligence Advisory Service Market Competition Status by Major Manufacturers
Chapter 7: Artificial Intelligence Advisory Service Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis of Artificial Intelligence Advisory Service
Chapter 9: Cost and Gross Margin Analysis of Artificial Intelligence Advisory Service
Chapter 10: Marketing Status Analysis of Artificial Intelligence Advisory Service
Chapter 11: Report Conclusion
Chapter 12: Research Methodology and Reference
Key questions answered in this report
What will the market size be in 2025 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
Get Complete Report @ https://www.reportsandmarkets.com/checkout?currency=one_user-USD&report_id=2748622
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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. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.
Contact Us:
Sanjay Jain
Manager – Partner Relations & International Marketing
www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
TaggedArtificial Intelligence Advisory ServiceArtificial Intelligence Advisory Service MarketArtificial Intelligence Advisory Service Market Analysis
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| Global Artificial Intelligence Advisory Service Market Trend Analysis, and Forecasts to 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute | Global Artificial Intelligence Advisory Service Market Trend Analysis, Forecasts 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac CorporationFICO, SAS Institute News Parent Skip content Top Menu February 21, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Emerging NewsGlobal Artificial Intelligence Advisory Service Market Trend Analysis, Forecasts 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac CorporationFICO, SAS Institute February 21, 2020 [emailprotected] Leave Comment Artificial Intelligence Advisory Service Market: Artificial intelligence technologies beginning disruptive effect established business models virtually industry, simultaneously enabling new business processes previously possible. The growing demand AIpowered services form Application Programming Interface API Software Development Kit SDK increasing number innovative startups major factors expected drive AI service market. This report studies Artificial Intelligence Advisory Service Market aspects industry like market size, market status, market trends forecast, report provides brief information competitors specific growth opportunities key market drivers. Find complete Artificial Intelligence Advisory Service Market analysis segmented companies, region, type applications report. The major players covered Artificial Intelligence Advisory Service Market: IBM, SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac CorporationFICO, SAS Institute, BigML Request Sample Copy @ Artificial Intelligence Advisory Service Market continues evolve expand terms number companies, products, applications illustrates growth perspectives. The report covers list Product range Applications SWOT analysis, CAGR value, adding essential business analytics. Artificial Intelligence Advisory Service Market research analysis identifies latest trends primary factors responsible market growth enabling Organizations flourish exposure markets. Market Segment Regions, regional analysis covers 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 Research objectives: To study analyze global Artificial Intelligence Advisory Service market size key regionscountries, product type application, history data 2013 2017, forecast 2025. To understand structure Artificial Intelligence Advisory Service market identifying sub segments. Focuses key global Artificial Intelligence Advisory Service players, define, analyze value, market share, market competition landscape, SWOT analysis development plans years. To analyze Artificial Intelligence Advisory Service 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 size Artificial Intelligence Advisory Service 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. Key Developments Artificial Intelligence Advisory Service Market: To Artificial Intelligence Advisory Service Introduction, product type application, market overview, market analysis countries, market opportunities, market risk, market driving force; To analyze manufacturers Artificial Intelligence Advisory Service, profile, main business, news, sales, price, revenue market share 2017 2020; To display competitive situation manufacturers Global, sales, revenue market share 2017 2020; To market type application, sales, price, revenue, market share growth rate type application, 2014 2020; To analyze key countries manufacturers, Type Application, covering North America, Europe, Asia Pacific, MiddleEast South America, sales, revenue market share manufacturers, types applications; Artificial Intelligence Advisory Service market forecast, countries, type application, sales, price, revenue growth rate forecast, 2020 2025; To analyze manufacturing cost, key raw materials manufacturing process etc. To analyze industrial chain, sourcing strategy downstream end users buyers; To Artificial Intelligence Advisory Service sales channel, distributors, traders, dealers etc. To Artificial Intelligence Advisory Service Research Findings Conclusion, Appendix, methodology data source Know More This Report @ The Artificial Intelligence Advisory Service Market research report completely covers vital statistics capacity, production, value, costprofit, supplydemand importexport, divided company country, applicationtype best possible updated data representation figures, tables, pie chart, graphs. These data representations provide predictive data future estimations convincing market growth. The detailed comprehensive knowledge publishers makes box case market analysis. In study, years considered estimating market size Artificial Intelligence Advisory Service follows: History Year: 20142017 Base Year: 2017 Estimated Year: 2020 Forecast Year 2020 2025 This report includes estimation market size value million USD volume M Units. Topdown bottomup approaches estimate validate market size Artificial Intelligence Advisory Service market, estimate size dependent submarkets overall market. Key players market identified secondary research, market shares determined primary secondary research. All percentage shares, splits, breakdowns determined secondary sources verified primary sources. Table Contents: Artificial Intelligence Advisory Service Market Chapter 1: Overview Artificial Intelligence Advisory Service Chapter 2: Global Market Status Forecast Regions Chapter 3: Global Market Status Forecast Types Chapter 4: Global Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Artificial Intelligence Advisory Service Chapter 6: Artificial Intelligence Advisory Service Market Competition Status Major Manufacturers Chapter 7: Artificial Intelligence Advisory Service Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Artificial Intelligence Advisory Service Chapter 9: Cost Gross Margin Analysis Artificial Intelligence Advisory Service Chapter 10: Marketing Status Analysis Artificial Intelligence Advisory Service Chapter 11: Report Conclusion Chapter 12: Research Methodology Reference Key questions answered report What market size 2025 growth rate be? What key market trends? What driving market? What challenges market growth? Who key vendors market space? What market opportunities threats faced key vendors? What strengths weaknesses key vendors? Get Complete Report @ : Reports 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. The database company updated daily basis. Our database contains variety industry verticals include: Food Beverage, Automotive, Chemicals Energy, IT Telecom, Consumer, Healthcare, more. Each report goes appropriate research methodology, Checked professionals analysts. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US TaggedArtificial Intelligence Advisory ServiceArtificial Intelligence Advisory Service MarketArtificial Intelligence Advisory Service Market Analysis Related Posts DyeSensitized Solar Cell Market 2020: CSIRO, Sharp Corporation, Peccell Others 2025 February 21, 2020 RealTime Operating Systems Market 2020: Embedded Access ., Pumpkin ., eCosCentric, Enea AB Others 2025 February 21, 2020 Cabin Zone Temperature Controller Market 2020: Company 1, Company 2, Company 3 Others 2025 February 21, 2020 Post navigation Previous Article Continuous Compaction Control Systems Market 2020: Sakai America, JCB, GeoShack . Others 2025Next Article Enterprise Mobile Management EMM Market 2020: BAE Microsoft Corporation, Apperian ., BlackBerry Others 2025 About [emailprotected] View posts [emailprotected] Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts DyeSensitized Solar Cell Market 2020: CSIRO, Sharp Corporation, Peccell Others 2025 RealTime Operating Systems Market 2020: Embedded Access ., Pumpkin ., eCosCentric, Enea AB Others 2025 Cabin Zone Temperature Controller Market 2020: Company 1, Company 2, Company 3 Others 2025 Enterprise Mobile Management EMM Market 2020: BAE Microsoft Corporation, Apperian ., BlackBerry Others 2025 Global Artificial Intelligence Advisory Service Market Trend Analysis, Forecasts 2025: , SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac CorporationFICO, SAS Institute 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://newsrts.com/2022/11/11/new-big-money-means-ses-ai-corporation-ses-investors-could-reap-benefit/ | 2022-11-12T00:00:00 | en | New Big Money Means SES AI Corporation (SES) Investors Could Reap Benefit – News RTS |
New Big Money Means SES AI Corporation (SES) Investors Could Reap Benefit – News RTS
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Home » Finance » New Big Money Means SES AI Corporation (SES) Inves...
New Big Money Means SES AI Corporation (SES) Investors Could Reap Benefit
Richard Addington
November 11, 2022
Finance
SES AI Corporation (NYSE: SES) is -45.73% lower on its value in year-to-date trading and has touched a low of $3.61 and a high of $11.28 in the current 52-week trading range. The question becomes, what are the chances the stock will make a comeback and enjoy potential growth. Why not look at analysts view on what the future holds for the stock. The SES stock was last observed hovering at around $4.70 in the last trading session, with the day’s gains setting it 0.7% off its average median price target of $7.00 for the next 12 months. It is also 22.86% off the consensus price target high of $7.00 offered by 3 analysts, but current levels are 22.86% higher than the price target low of $7.00 for the same period.
Currently trading at $5.40, the stock is -3.63% and 1.92% above its SMA20 and SMA50 respectively. However, with a daily trading volume of 1.29 million and changing 14.89% at the moment leaves the stock -7.64% off its SMA200. SES registered -47.42% loss for a year compared to 6-month gain of 2.47%. The firm has a 200-day simple moving average (SMA200) of -$56.24.
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The stock witnessed a 2.08% loss in the last 1 month and extending the period to 3 months gives it a -3.23%, and is -0.92% down over the last 5 days. If we measure the stock’s price variations over the week and the month, we find that the volatility rates stand at 8.77% over the week and 8.30% over the month.
Distance from 52-week low is 49.58% and -52.13% from its 52-week high.
SES AI Corporation (SES) Analyst Forecasts
Analyst recommendations provided by FactSet shows that the consensus forecast for SES AI Corporation (SES) is a “Hold”. 3 analysts offering their recommendations for the stock have an average rating of 3.00, where 3 rate it as a Hold and 0 think it is a “Overweight”. 0 of the analysts rate the stock as a “Buy”. 0 analysts have rated the stock as a Sell or Underperform.
SES AI Corporation is expected to release its quarterly report on 03/01/2023.
SES AI Corporation (SES) Top Institutional Holders
The shares outstanding are 310.26M, and float is at 211.50M with Short Float at 2.70%.
SES AI Corporation (SES) Insider Activity
A total of 17 insider transactions have happened at SES AI Corporation (SES) in the last six months, with sales accounting for 11 and purchases happening 6 times. The most recent transaction is an insider sale by Nealis Jing, the company’s CHIEF FINANCIAL OFFICER. SEC filings show that Nealis Jing sold 15,405 shares of the company’s common stock on Oct 17 at a price of $5.51 per share for a total of $84878.0. Following the sale, the insider now owns 1.5 million shares.
SES AI Corporation disclosed in a document filed with the SEC on Sep 19 that Nealis Jing (CHIEF FINANCIAL OFFICER) sold a total of 16,320 shares of the company’s common stock. The trade occurred on Sep 19 and was made at $5.43 per share for $88588.0. Following the transaction, the insider now directly holds 1.52 million shares of the SES stock.
Still, SEC filings show that on Aug 24, Nealis Jing (CHIEF FINANCIAL OFFICER) disposed off 2,434 shares at an average price of $4.88 for $11889.0. The insider now directly holds 1,534,223 shares of SES AI Corporation (SES).
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| New Big Money Means SES AI Corporation (SES) Investors Could Reap Benefit | New Big Money Means SES AI Corporation SES Investors Could Reap Benefit News RTS Skip content Home Market Research Investing News Stock Coverage Menu Home Market Research Investing News Stock Coverage Home Finance New Big Money Means SES AI Corporation SES Inves... New Big Money Means SES AI Corporation SES Investors Could Reap Benefit Richard Addington November 11, 2022 Finance SES AI Corporation NYSE: SES 45.73 lower value yeartodate trading touched low 3.61 high 11.28 current 52week trading range. The question becomes, chances stock comeback enjoy potential growth. Why look analysts view future holds stock. The SES stock observed hovering 4.70 trading session, days gains setting 0.7 average median price target 7.00 12 months. It 22.86 consensus price target high 7.00 offered 3 analysts, current levels 22.86 higher price target low 7.00 period. Currently trading 5.40, stock 3.63 1.92 SMA20 SMA50 respectively. However, daily trading volume 1.29 million changing 14.89 moment leaves stock 7.64 SMA200. SES registered 47.42 loss year compared 6month gain 2.47. The firm 200day simple moving average SMA200 56.24. China Cant Stop US0.25 Stock Mining UltraRare Metal Heres littleknown company trading undiscovered 25cents share thats advancing largest highest quality REE deposits North America... Chinese damn thing Its early stage... thats excellent news individual investors like foresight act decisively emerging megatrend thats measured Tens Billions. Simply click trading symbol yours. Sponsored The stock witnessed 2.08 loss 1 month extending period 3 months gives 3.23, 0.92 5 days. If measure stocks price variations week month, volatility rates stand 8.77 week 8.30 month. Distance 52week low 49.58 52.13 52week high. SES AI Corporation SES Analyst Forecasts Analyst recommendations provided FactSet shows consensus forecast SES AI Corporation SES Hold. 3 analysts offering recommendations stock average rating 3.00, 3 rate Hold 0 think Overweight. 0 analysts rate stock Buy. 0 analysts rated stock Sell Underperform. SES AI Corporation expected release quarterly report 03012023. SES AI Corporation SES Top Institutional Holders The shares outstanding 310.26M, float 211.50M Short Float 2.70. SES AI Corporation SES Insider Activity A total 17 insider transactions happened SES AI Corporation SES months, sales accounting 11 purchases happening 6 times. The recent transaction insider sale Nealis Jing, companys CHIEF FINANCIAL OFFICER. SEC filings Nealis Jing sold 15,405 shares companys common stock Oct 17 price 5.51 share total 84878.0. Following sale, insider owns 1.5 million shares. SES AI Corporation disclosed document filed SEC Sep 19 Nealis Jing CHIEF FINANCIAL OFFICER sold total 16,320 shares companys common stock. The trade occurred Sep 19 5.43 share 88588.0. Following transaction, insider directly holds 1.52 million shares SES stock. Still, SEC filings Aug 24, Nealis Jing CHIEF FINANCIAL OFFICER disposed 2,434 shares average price 4.88 11889.0. The insider directly holds 1,534,223 shares SES AI Corporation SES. >> 5 Best Inflation Stocks 2022 << >> 5 Best Inflation Stocks 2022 << NYSE:SES, SES, SES AI Corporation, SES stock Most Popular Who Institutional Holders MoneyLion . ML? November 11, 2022 Fulton Financial Corporation FULT Review Making Smarter Decisions November 11, 2022 Conduent orporated CNDT Volatility At 4.66, Should You Add A Position? November 11, 2022 Get The Best Stocks To Trade Every Day Join premarket morning brief 100 free Full Name Email Send Related Posts Finance Who Top Investor In Diana Shipping . DSX? Diana Shipping . NYSE: DSX 7.20 lower value yeartodate trading touched low 3.31 high Read More September 30, 2022 No Comments Company Home Our Team Us Categories Companies Finance Business Hot Stocks Industry Markets Stock Coverage Technology Get The Best Stocks To Trade Every Day Join premarket morning brief 100 free Email 2021 ALL RIGHTS RESERVED Receive Best Stock To Trade Before The Opening Bell 100 Free. Stop Anytime. No Spam Yes I Want To Join SPECIAL GIFT WE HAVE A GIFT FOR YOU The 5 Best Inflation Stocks 2022 Download Free eBook 100 free. stop anytime spam Get free report stocks recommend investors want protect portfolios inflation. | 2,022 | [
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https://nextbigwhat.com/uk-regulator-investigates-snaps-ai-chatbot-over-privacy-concerns-for-teens/ | 2023-10-07T00:00:00 | en | UK regulator investigates Snap's AI chatbot over privacy concerns for teens |
UK regulator investigates Snap's AI chatbot over privacy concerns for teens
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Home UK regulator investigates Snap’s AI chatbot over privacy concerns for teens
UK regulator investigates Snap’s AI chatbot over privacy concerns for teens
October 7, 2023
Snap is under investigation by the UK’s Information Commissioner’s Office (ICO) over potential privacy risks posed by its AI chatbot, My AI, particularly to users aged 13 to 17.
The ICO’s preliminary findings suggest Snap failed to adequately assess privacy risks before launching My AI, but Snap will have a chance to address these concerns before a final decision is made.
Snap’s AI chatbot has previously faced scrutiny for inappropriate conversations, and if the ICO’s findings result in an enforcement notice, Snap may have to stop offering the chatbot to UK users until privacy issues are resolved.
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| UK regulator investigates Snap's AI chatbot over privacy concerns for teens | UK regulator investigates Snaps AI chatbot privacy concerns teens Menu Startup Course [8AM] letter AI News Free Book Summaries Hiring Submit Your Product Upcoming Products Submit story press release Home UK regulator investigates Snaps AI chatbot privacy concerns teens UK regulator investigates Snaps AI chatbot privacy concerns teens October 7, 2023 Snap investigation UKs Information Commissioners Office ICO potential privacy risks posed AI chatbot, My AI, particularly users aged 13 17. The ICOs preliminary findings suggest Snap failed adequately assess privacy risks launching My AI, Snap chance address concerns final decision made. Snaps AI chatbot previously faced scrutiny inappropriate conversations, ICOs findings result enforcement notice, Snap stop offering chatbot UK users privacy issues resolved. 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 Alphabet CEO Sundar Pichai testify Google Play antitrust case TDSAT rules OTT platforms TV channels AIDCF vs Star India case Google introduces Pixel Magnifier app reading small text examining object details Total 0 Share 0 0 0 0 0 0 | 2,023 | [
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https://nypost.com/2023/06/29/elon-musks-dad-shares-photo-amid-dwarf-adult-human-ai-image/ | 2023-06-29T00:00:00 | en | Elon Musk's dad shares photo amid 'dwarf adult human' AI image |
Elon Musk's dad shares photo amid 'dwarf adult human' AI image
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Elon Musk’s dad shares young photo to debunk ‘dwarf adult human’ AI image
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Ariel Zilber
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June 29, 2023
11:59am
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June 29, 2023
11:59am
More On:
elon musk
Elon Musk does ‘impromptu’ martial arts training session ahead of fight with Mark Zuckerberg
Elon Musk microdoses ketamine to treat depression: report
UFC legend Georges St-Pierre to train Elon Musk for his cage fight with Facebook’s Mark Zuckerberg
Elon Musk leads backlash against NYC’s ‘utter bs’ campaign against coal-, wood-fired pizzerias
The father of tech titan Elon Musk offered up a rare image of his son when he was a kid after an AI-generated photo of the future Tesla mogul made him look like a “dwarf adult human.”
Earlier this month, the Twitter parody account “Not Jerome Powell” posted a photo showing a brown-eyed boy with Musk’s recognizable stern face dressed in a white, buttoned-down shirt underneath suspenders.
“BREAKING: Elon Musk was reportedly working on some anti aging formula but it got way out of hand,” read the tweet, which has generated more than 4.5 million views as of Thursday.
Errol Musk, the 77-year-old retired electromechanical engineer, slammed the AI picture of his famous son as “ridiculous.”
“It’s a photo of a dwarf adult human,” the elder Musk told The US Sun.
The dad shared a photo of the South African-born Elon sporting blond hair while and a big smile while wearing kid-appropriate shorts and a striped short-sleeve shirt.
“[There’s] no resemblance whatsoever to Elon at that age, more a version of him as an adult turned into a dwarf,” Errol Musk told the news site.
Errol Musk, 77, the father of Elon Musk, shared a photo of his son.AFP via Getty Images
Errol Musk also weighed in on his son’s potential cage fight with Meta CEO Mark Zuckerberg, warning that Elon was walking into a “no-win situation.”
“The thing is if this crazy fight goes ahead, if Elon beats this guy, Elon will be called a bully, being so much heavier and taller,” Errol Musk told the US Sun.
“While if he loses, the humiliation would be total.”
Errol Musk added: “Elon loses if he wins and loses if he loses.”
Errol shared a photo of Elon as a toddler.Errol Musk
Errol Musk was unhappy over this viral AI-generated image that bears a strong resemblance to young Elon.Not Jerome Powell, /Twitter
“Wins, he’s a bully. Loses, he’s a loser.”
Elon and Errol Musk have had a notoriously contentious relationship. In September, Elon said he had financially supported his father since the 1990s.
In a 2017 interview with Rolling Stone, Musk described his father as “brilliant with engineering” but “such a terrible human being.”
Errol Musk, who divorced Elon’s mother Maye in 1979, recently made headlines after he reportedly fathered two children with his stepdaughter
Elon Musk has been critical of AI even as he pursues the technology through his own businesses – including a generative AI project that will directly compete with OpenAI’s ChatGPT.
Elon Musk, who has warned of the dangers of artificial intelligence, has had a contentious relationship with his father.AFP via Getty Images
Last month, Musk warned there is a “non-zero chance” that rogue advanced artificial intelligence could annihilate humanity.
“There’s a non-zero chance of it going Terminator. It’s not zero percent,” Musk 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.”
Musk also raised the possibility that an advanced AI system could decide to place humanity “under strict controls.”
In March, Musk joined more than 1,000 experts in advocating for a six-month pause on advanced AI products until proper safety measures and guardrails could be put in place.
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| Elon Musk's dad shares photo amid 'dwarf adult human' AI image | Elon Musks dad shares photo amid dwarf adult human AI image 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 29, 2023 Recommended Skip main content Tech FacebookTwitter Flipboard WhatsAppEmailCopy Elon Musks dad shares young photo debunk dwarf adult human AI image By Ariel Zilber Social Links Ariel Zilber View Author Archive email author Get author RSS feed The Author Namerequired Emailrequired Commentrequired Submit Thanks contacting us. Weve received submission. Back Reading June 29, 2023 11:59am Updated June 29, 2023 11:59am More On: elon musk Elon Musk impromptu martial arts training session ahead fight Mark Zuckerberg Elon Musk microdoses ketamine treat depression: report UFC legend Georges StPierre train Elon Musk cage fight Facebooks Mark Zuckerberg Elon Musk leads backlash NYCs utter bs campaign coal, woodfired pizzerias The father tech titan Elon Musk offered rare image son kid AIgenerated photo future Tesla mogul look like dwarf adult human. Earlier month, Twitter parody account Not Jerome Powell posted photo showing browneyed boy Musks recognizable stern face dressed white, buttoneddown shirt underneath suspenders. BREAKING: Elon Musk reportedly working anti aging formula got way hand, read tweet, generated 4.5 million views Thursday. Errol Musk, 77yearold retired electromechanical engineer, slammed AI picture famous son ridiculous. Its photo dwarf adult human, elder Musk told The US Sun. The dad shared photo South Africanborn Elon sporting blond hair big smile wearing kidappropriate shorts striped shortsleeve shirt. [Theres] resemblance whatsoever Elon age, version adult turned dwarf, Errol Musk told news site. Errol Musk, 77, father Elon Musk, shared photo son.AFP Getty Images Errol Musk weighed sons potential cage fight Meta CEO Mark Zuckerberg, warning Elon walking nowin situation. The thing crazy fight goes ahead, Elon beats guy, Elon called bully, heavier taller, Errol Musk told US Sun. While loses, humiliation total. Errol Musk added: Elon loses wins loses loses. Errol shared photo Elon toddler.Errol Musk Errol Musk unhappy viral AIgenerated image bears strong resemblance young Elon.Not Jerome Powell, Twitter Wins, hes bully. Loses, hes loser. Elon Errol Musk notoriously contentious relationship. In September, Elon said financially supported father 1990s. In 2017 interview Rolling Stone, Musk described father brilliant engineering terrible human being. Errol Musk, divorced Elons mother Maye 1979, recently headlines reportedly fathered children stepdaughter Elon Musk critical AI pursues technology businesses including generative AI project directly compete OpenAIs ChatGPT. Elon Musk, warned dangers artificial intelligence, contentious relationship father.AFP Getty Images Last month, Musk warned nonzero chance rogue advanced artificial intelligence annihilate humanity. Theres nonzero chance going Terminator. Its zero percent,Musk said. Its small likelihood annihilating humanity, zero. We want probability close zero possible. Musk raised possibility advanced AI decide place humanity strict controls. In March, Musk joined 1,000 experts advocating sixmonth pause advanced AI products proper safety measures guardrails place. Share article: FacebookTwitter Flipboard WhatsAppEmailCopy Filed artificial intelligence chatgpt elon musk tesla twitter 62923 Read Next 14yearold boy suffers stroke winning wrestling mat... Top Concerts Vividseats: Official Ticketing Partner New York Post Get seats. Earn rewards. Experience live. Morgan Wallen 44Shows Get Tickets Taylor Swift 19Shows Get Tickets Drake 56Shows Get Tickets Beyonce 36Shows Get Tickets Pink 47Shows Get Tickets See More Shows Trending Now This story shared 241,857 times. 241,857 First look mangled wreckage doomed Titan submersible hauled ashore This story shared 143,009 times. 143,009 OceanGate advertising trips Titanic wreckage week deadly implosion This story shared 123,946 times. 123,946 Madonna intubated ICU unresponsive NYC This story shared 82,394 times. 82,394 Surprising new details NFL QBs death revealed harrowing body cam video released This story shared 80,220 times. 80,220 Delta flight 96 passengers aboard screeches runway North Carolina emergency landing What shop Soak summer savings 41 best Fourth July sales: Dyson, Target, Best Buy, Keep fur baby anxietyfree 4th July thunder shirts, weighted blankets Dip summertime nostalgia new FUNBOY x Drake Hotline Bling pool float collab Log best July 4th HP tech deals happening right The 15 best Fourth July indoor outdoor furniture sales 2023 Listen Now Page Six Shirtless Cristiano Ronaldo sizzles Italy star snaps Police escort seen Madonnas NYC home shes discharged hospital LilyRose Depp defends risqu sex scenes The Idol, admits isnt See All Now Decider The View: White House Press Secretary Karine JeanPierre Mysteriously NoShowed TodayJust Two Days After The Show Criticized Hunter Biden See All Video Pooch alerts couple feisty 5foot alligator snuck doggy door home More Stories Page Six Madonna rushed hospital unresponsive NYPost First look mangled wreckage doomed Titan submersible hauled ashore 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, . Terms Use Membership Terms Privacy Notice Sitemap Your California Privacy Rights Do Not Sell My Personal Information Share Link click copy | 2,023 | [
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https://nysenewstimes.com/big-data-and-data-engineering-services-market-2020-by-technology-industry-updatesegment-region-leading-players-accenture-capgemini-franz-inc-hidden-brains-infotech-ntt-data-genpact-cognizant-2/ | 2020-03-11T00:00:00 | en | Big Data and Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading Players-Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds – Nyse News Times |
Big Data and Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading Players-Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds – Nyse News Times
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Big Data and Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading Players-Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds
Orian Research March 11, 2020
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Global Big Data and Data Engineering Services Market Research Report 2020 is created to provide the market landscape and unlimited guideline about contemporary market size, share, driving factors, trends, progressive growth, and dominant players of the Big Data and Data Engineering Services market. The report serves overall information on the market to top manufacturers, distributors, traders, dealers. It will help them understand the product scope, market overview, market driving force, technological advancement, market risk, opportunities, and research findings.
Get Sample Copy of this [email protected] https://www.orianresearch.com/request-sample/966413
About This Big Data and Data Engineering Services Market: Big data is a term used to refer to the study and applications of data sets that are too complex for traditional data-processing application software to adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
The Global Big Data and Data Engineering Services Market Report Includes the Following Details:
The overview of global Big Data and Data Engineering Services market: some of the important elements such as definition, classification, application, and other basic information are covered in this report. The expert team of analysts has given information about chain structure of the industry together with several news and policies. The development of the industry is evaluated with the information on the present status of the industry in several regions.
Inquire More or Share Questions If Any before the Purchase on This Report @ https://www.orianresearch.com/enquiry-before-buying/966413
The report takes a dashboard view of an entire Big Data and Data Engineering Services market by comprehensively analyzing market circumstance and situation and the various activities of leading players in the market such as mergers, partnerships, and acquisitions. This unique report explains the present industry situations that give the crystal-clear picture of the global Big Data and Data Engineering Services market to the clients. The thorough database which has been given in this report helps the customers to get detail information about the competitors.
The following Companies as the Key Players in the Global Big Data and Data Engineering Services Market Research Report:
• Accenture
• Capgemini
• Franz Inc
• Hidden Brains InfoTech
• L&T Technology Services
• NTT DATA
• Genpact
• Cognizant
• Infosys
• Mphasis
• Hexaware
• …
The global Big Data and Data Engineering Services market report covers scope and product overview to define key terms and offers detailed information about market dynamics to the readers. This is followed by a regional outlook and segmental analysis. The report also consists of the facts and key values of the global Big Data and Data Engineering Services market, in terms of sales and volume, revenue and its growth rate.
One of the important factors in the global Big Data and Data Engineering Services market report is competitive analysis. The report covers all of the key parameters, such as product innovation, market strategies of the key players, market share, revenue generation, the latest research and development and market experts’ views.
Order a Copy of Global Big Data and Data Engineering Services Market Report 2020 @ https://www.orianresearch.com/checkout/966413
Market segment by Type, the product can be split into
• Data Modeling
• Data Integration
• Data Quality
• Analytics
Market segment by Application, split into
• Marketing and Sales
• Finance
• Operations
• Human Resources and Legal
Regional Analysis
A section of the report gives comprehensive information about regional analysis. It provides a market outlook and sets the forecast within the context of the overall global Big Data and Data Engineering Services market. Orian Research has segmented the global Big Data and Data Engineering Services market into major geographical regions, such as North America, South America, Europe, Asia-Pacific, and the Middle East and Africa. Potential new entrants wishing to target only high growth areas are also included in this informative section of the global Big Data and Data Engineering Services market.
Points Covered in The Report:
• The points that are talked over within the report are the major Big Data and Data Engineering Services market players that influence the market such as raw material suppliers, manufacturers, equipment suppliers, end users, traders, distributors etc.
• The all-inclusive profile of the companies is specified. The production, price, capacity, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, future strategies, supply, and the technological developments that they are creating are also incorporated within the report. Besides the historical data from 2015 to 2020 and forecast data from 2020 to 2026.
• The growth factors of the Big Data and Data Engineering Services market are deeply discussed while the different end users of the market are underlined.
• Data and information by manufacturer, by region, by type, by application and etc., and custom research can be added in line with the specific requirements.
• The report also considers the SWOT analysis of the market. Finally, the report concludes with the opinions of the industry experts.
Major Points from Table of Content:
Chapter One: Global Big Data and Data Engineering Services Market Overview
Chapter Two: Global Big Data and Data Engineering Services market Competition by application, by Players/Suppliers, and by Type
Chapter Three: North America Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Four: Europe Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Five: Japan Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Six: China Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Seven: India Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Eight: Southeast Asia Big Data and Data Engineering Services market (sales price, volume, and value)
Chapter Nine: Global Fireproofing Sealant market industrial cost analysis
Chapter Ten: Downstream buyers, industrial chain and sourcing strategy
Chapter Eleven: Global Big Data and Data Engineering Services market Sales data and suppliers profiles/players
Chapter Twelve: Market effect factor analysis
Chapter Thirteen: Traders/Distributors, marketing strategy analysis
Chapter Fourteen: Global Big Data and Data Engineering Services market forecast (2018-2026) analysis
Chapter Fifteen: Conclusion and research findings
Chapter Sixteen: Annexure/Appendix
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| Big Data and Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading Players-Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds | Big Data Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading PlayersAccenture, Capgemini, Franz , Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds Nyse News Times Skip content Wednesday, March 11, 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 Big Data Data Engineering Services Market 2020 By Technology, Industry Update,Segment, Region, Leading PlayersAccenture, Capgemini, Franz , Hidden Brains InfoTech, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds Orian Research March 11, 2020 No Comments Global Big Data Data Engineering Services Market Research Report 2020 created provide market landscape unlimited guideline contemporary market size, share, driving factors, trends, progressive growth, dominant players Big Data Data Engineering Services market. The report serves overall information market manufacturers, distributors, traders, dealers. It help understand product scope, market overview, market driving force, technological advancement, market risk, opportunities, research findings. Get Sample Copy [emailprotected] About This Big Data Data Engineering Services Market: Big data term refer study applications data sets complex traditional dataprocessing application software adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy data source. The Global Big Data Data Engineering Services Market Report ludes Following Details: The overview global Big Data Data Engineering Services market: important elements definition, classification, application, basic information covered report. The expert team analysts given information chain structure industry news policies. The development industry evaluated information present status industry regions. Inquire More Share Questions If Any Purchase This Report @ The report takes dashboard view entire Big Data Data Engineering Services market comprehensively analyzing market circumstance situation activities leading players market mergers, partnerships, acquisitions. This unique report explains present industry situations crystalclear picture global Big Data Data Engineering Services market clients. The thorough database given report helps customers information competitors. The following Companies Key Players Global Big Data Data Engineering Services Market Research Report: Accenture Capgemini Franz Hidden Brains InfoTech LT Technology Services NTT DATA Genpact Cognizant Infosys Mphasis Hexaware The global Big Data Data Engineering Services market report covers scope product overview define key terms offers detailed information market dynamics readers. This followed regional outlook segmental analysis. The report consists facts key values global Big Data Data Engineering Services market, terms sales volume, revenue growth rate. One important factors global Big Data Data Engineering Services market report competitive analysis. The report covers key parameters, product innovation, market strategies key players, market share, revenue generation, latest research development market experts views. Order Copy Global Big Data Data Engineering Services Market Report 2020 @ Market segment Type, product split Data Modeling Data Integration Data Quality Analytics Market segment Application, split Marketing Sales Finance Operations Human Resources Legal Regional Analysis A section report gives comprehensive information regional analysis. It provides market outlook sets forecast context overall global Big Data Data Engineering Services market. Orian Research segmented global Big Data Data Engineering Services market major geographical regions, North America, South America, Europe, AsiaPacific, Middle East Africa. Potential new entrants wishing target high growth areas included informative section global Big Data Data Engineering Services market. Points Covered The Report: The points talked report major Big Data Data Engineering Services market players influence market raw material suppliers, manufacturers, equipment suppliers, end users, traders, distributors etc. The allinclusive profile companies specified. The production, price, capacity, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, future strategies, supply, technological developments creating incorporated report. Besides historical data 2015 2020 forecast data 2020 2026. The growth factors Big Data Data Engineering Services market deeply discussed different end users market underlined. Data information manufacturer, region, type, application etc., custom research added line specific requirements. The report considers SWOT analysis market. Finally, report concludes opinions industry experts. Major Points Table Content: Chapter One: Global Big Data Data Engineering Services Market Overview Chapter Two: Global Big Data Data Engineering Services market Competition application, PlayersSuppliers, Type Chapter Three: North America Big Data Data Engineering Services market sales price, volume, value Chapter Four: Europe Big Data Data Engineering Services market sales price, volume, value Chapter Five: Japan Big Data Data Engineering Services market sales price, volume, value Chapter Six: China Big Data Data Engineering Services market sales price, volume, value Chapter Seven: India Big Data Data Engineering Services market sales price, volume, value Chapter Eight: Southeast Asia Big Data Data Engineering Services market sales price, volume, value Chapter Nine: Global Fireproofing Sealant market industrial cost analysis Chapter Ten: Downstream buyers, industrial chain sourcing strategy Chapter Eleven: Global Big Data Data Engineering Services market Sales data suppliers profilesplayers Chapter Twelve: Market effect factor analysis Chapter Thirteen: TradersDistributors, marketing strategy analysis Chapter Fourteen: Global Big Data Data Engineering Services market forecast 20182026 analysis Chapter Fifteen: Conclusion research findings Chapter Sixteen: AnnexureAppendix Us: Ruwin Mendez Vice President Global Sales Partner Relations Orian Research Consultants US 1 415 8303727 UK 44 020 81447127 Email: [emailprotected] : Orian Research comprehensive collections market intelligence reports World Wide Web. Our reports repository boasts 500000 industry country research reports 100 publishers. We continuously update repository provide clients easy access worlds complete current database expert insights global industries, companies, products. Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Inventory Management Software Market 2020 Demand Analysis, Global Share, Revenue Industry ShareNext Next post: Video Services Market 2020Advanced Technology Industry Share, Trends, Statistics, Revenue TOP Companies: Amazon, Apple, Google, Hulu, Netflix, YouTube, ATT, ActiveVideo, TalkTalk TV Store, CinemaNow, DirecTV, Facebook Future Prospects 2026 Recent Posts Future Growth Bitcoin ATM Machine Market Report 2020Industry Analysis Size, Demand, Revenue, Top PlayersRobocoin, Square, General Bytes, Coinucopia, Herocoin, Tobitcoin, Sumbits, Bitlove Outlook 2026 Rolling Bearing Industry 2020 Will Rapidly Grow Future Market Size, Share, Growth, Demand Forecast Global Mountain Guide Service Market Scenario Analysis 2019 International Mountain Guides, Himalaya Alpine Guides, Nepal Alpine Guides Digital Ballast Industry 2020 Market Demand, Size, Growth, Trends, Share, Supply, Manufacturers 2026 Forecast Research Report Heat Meters Industry 20192025 Global Market Size, Growth, Applications, Top Key Players, Technologies Forecast Research Report 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 | 2,020 | [
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] | 1 | 2,121 |
https://nysenewstimes.com/legal-ai-software-market-by-component-solutions-and-services-by-deployment-mode-cloud-and-on-premises-by-end-user-corporate-legal-departments-law-firms-and-others-legal-ai-software-industry/ | 2020-03-09T00:00:00 | en | Legal AI Software Market by Component (Solutions and Services), By Deployment Mode (Cloud and On-Premises), By End-User (Corporate Legal Departments, Law Firms, and Others) Legal AI Software Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2019-2025 – Nyse News Times |
Legal AI Software Market by Component (Solutions and Services), By Deployment Mode (Cloud and On-Premises), By End-User (Corporate Legal Departments, Law Firms, and Others) Legal AI Software Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2019-2025 – Nyse News Times
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Legal AI Software Market by Component (Solutions and Services), By Deployment Mode (Cloud and On-Premises), By End-User (Corporate Legal Departments, Law Firms, and Others) Legal AI Software Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2019-2025
Yogesh March 9, 2020
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Legal AI Software Market
“The report on Legal AI Software Market offers an in-depth analysis of market trends, drivers, restraints, opportunities, etc. Along with qualitative information, this report comprises the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years. The global Legal AI Software Market is segmented on the basis of type, application, and geography.
The report researches into the Legal AI Software market to evaluate its current and future potential. It leverages historical statistics about the Legal AI Software market, data from various other websites and sources, and inputs by the experts of the industry. It focuses completely on analyzing the regional subdivisions of the Legal AI Software markets.
Global Legal AI Software market is estimated to reach $ 1,715.4 Million by 2025; growing at a CAGR of 32.5% till 2025.
Request For Sample PDF Report (Kindly Use Your Bussiness/Corporate Email Id to Get Priority): https://www.esticastresearch.com/report/global-legal-ai-software-market/#request-for-sample
Competitive Landscape
Key Players in this showcase are:
IBM
Casetext
Cognitiv+
Everlaw
iManage LLC
Klarity Law
Legalsifter
LexisNexis
Luminance Technologies Ltd.
Neota Logic, Inc.
Omni Software Systems
Pensieve Inc.
Ross Intelligence
Thomson Reuters
Veritone
Legal AI Software showcasing different procedures and strategies, providers and merchants working in the Legal AI Software market, investigates components convincing Legal AI Software market development, generation patterns, and following systems. The overall Legal AI Software market report performs SWOT examination and PESTEL Legal AI Software investigation to uncover the steadiness, imperfections, openings, and dangers in the Legal AI Software industry. Moreover, it thinks about the earlier years’ information to see the deterrents looked by new players in the Legal AI Software market universally, the danger from other administrations or items, and the general showcase limit of the aggressive players.
Global Legal AI Software Market Segmentation:
The Legal AI Software Market report also covers segment analysis, including product type, application, and region, etc. cover different segment market sizes, both volume, and value.
Global Legal AI Software market segmentation:
By Component
Solutions
Services
By Deployment Model
Cloud
On-Premises
By End-User
Corporate Legal Departments
Law Firms
Others
Click to access full report and Table of Content and Figures @ https://www.esticastresearch.com/report/global-legal-ai-software-market/#table-of-content
Global Legal AI Software market segmentation by Geography:
North America
Europe
Asia-Pacific
South America
The Middle East and Africa
The estimates for all segments including type and application have been provided on a regional basis for the forecast period mentioned above. We have implemented a mix of top-down and bottom-up approaches for market sizing, analyzing the key regional markets, dynamics, and trends for various applications. The Global Legal AI Software market has been estimated by integrating the regional markets.
Latitude of the Legal AI Software Market report is as follows:
To define and categorize the market for Legal AI Software
To scrutinize and predict the market size & share of Legal AI Software, in terms of value and volume ($)
Raw Material Supply and Downstream Consumer Information are fabricated in Industry report.
Market forecasts from 2019 – 2026, including market volumes, Value ($), Utilization is provided by regions, by types, and by applications.
Request Customization or Discount of This Report @ https://www.esticastresearch.com/report/global-legal-ai-software-market/#customization
Reasons to buy Legal AI Software Market Report:
To acquire discerning analyses of the Legal AI Software Industry and have complete assimilation of the international market and its economic outlook
Determine the production processes, major concerns, and solutions.
Market policies that are being followed by leading respective organizations
The report gives a specific analysis of the rapidly changing dynamics of the Legal AI Software Industry.
To understand the future outlook and prospects for the market with Marketing & Price (Price and Margin, Factors of Price Change, Manufacturers Gross Margin Analysis)
About Esticast Research
Esticast Research is a research firm providing research reports on various industries with a unique combination of authenticity, extensive research, and infallibility. We provide syndicated market research reports, customization services, and consulting services to help businesses across the world in achieving their goals and overcoming complex challenges. We specialize in providing 360 degree view of the markets to assist clients in determining new opportunities and develop business strategies for the future with data and statistics on changing market dynamics. Esticast Research & Consulting has expert analysts and consultants with an ability to work in collaboration with clients to meet their business needs and give opportunities to thrive in a competitive world. A comprehensive analysis of industries ranging from healthcare to consumer goods and ICT to BFSI is provided by covering hundreds of industry segments. The research reports offering market forecasts, market entry strategies, and customer intelligence will help clients across the world in harnessing maximum value on their investment and realize their optimum potential..
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| Legal AI Software Market by Component (Solutions and Services), By Deployment Mode (Cloud and On-Premises), By End-User (Corporate Legal Departments, Law Firms, and Others) Legal AI Software Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2019-2025 | Legal AI Software Market Component Solutions Services, By Deployment Mode Cloud OnPremises, By EndUser Corporate Legal Departments, Law Firms, Others Legal AI Software Industry Analysis, Size, Share, Growth, Trends, Forecasts 20192025 Nyse News Times Skip content Monday, March 09, 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 Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Legal AI Software Market Component Solutions Services, By Deployment Mode Cloud OnPremises, By EndUser Corporate Legal Departments, Law Firms, Others Legal AI Software Industry Analysis, Size, Share, Growth, Trends, Forecasts 20192025 Yogesh March 9, 2020 No Comments Legal AI Software Market The report Legal AI Software Market offers indepth analysis market trends, drivers, restraints, opportunities, etc. Along qualitative information, report comprises quantitative analysis segments terms market share, growth, opportunity analysis, market value, etc. forecast years. The global Legal AI Software Market segmented basis type, application, geography. The report researches Legal AI Software market evaluate current future potential. It leverages historical statistics Legal AI Software market, data websites sources, inputs experts industry. It focuses completely analyzing regional subdivisions Legal AI Software markets. GlobalLegal AI Software marketis estimated reach 1,715.4 Million 2025; growing aCAGR 32.5till 2025. Request For Sample PDF Report Kindly Use Your BussinessCorporate Email Id Get Priority: Competitive Landscape Key Players showcase are: IBM Casetext Cognitiv Everlaw iManage LLC Klarity Law Legalsifter LexisNexis Luminance Technologies Ltd. Neota Logic, . Omni Software Systems Pensieve . Ross Intelligence Thomson Reuters Veritone Legal AI Software showcasing different procedures strategies, providers merchants working Legal AI Software market, investigates components convincing Legal AI Software market development, generation patterns, following systems. The overall Legal AI Software market report performs SWOT examination PESTEL Legal AI Software investigation uncover steadiness, imperfections, openings, dangers Legal AI Software industry. Moreover, thinks earlier years information deterrents looked new players Legal AI Software market universally, danger administrations items, general showcase limit aggressive players. Global Legal AI Software Market Segmentation: The Legal AI Software Market report covers segment analysis, including product type, application, region, etc. cover different segment market sizes, volume, value. 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Market forecasts 2019 2026, including market volumes, Value , Utilization provided regions, types, applications. Request Customization Discount This Report @ Reasons buy Legal AI Software Market Report: To acquire discerning analyses Legal AI Software Industry complete assimilation international market economic outlook Determine production processes, major concerns, solutions. Market policies followed leading respective organizations The report gives specific analysis rapidly changing dynamics Legal AI Software Industry. To understand future outlook prospects market Marketing Price Price Margin, Factors Price Change, Manufacturers Gross Margin Analysis About Esticast Research Esticast Research research firm providing research reports industries unique combination authenticity, extensive research, infallibility. We provide syndicated market research reports, customization services, consulting services help businesses world achieving goals overcoming complex challenges. We specialize providing 360 degree view markets assist clients determining new opportunities develop business strategies future data statistics changing market dynamics. Esticast Research Consulting expert analysts consultants ability work collaboration clients meet business needs opportunities thrive competitive world. A comprehensive analysis industries ranging healthcare consumer goods ICT BFSI provided covering hundreds industry segments. The research reports offering market forecasts, market entry strategies, customer intelligence help clients world harnessing maximum value investment realize optimum potential.. Get In Touch Esticast Research Navale ICON IT Park, Office No. 407, Mumbai Bangalore Highway, Narhe, Pune USA:12132754706IND918446016060 Email:[emailprotected] Leave Reply Cancel reply Your email address published. 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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 | 2,020 | [
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] | 1 | 2,122 |
https://nysenewstimes.com/powerline-ptca-catheter-market-set-for-rapid-growth-and-trend-by-2025-endo-flex-gmbh-medi-globe-gmbh-numed-bard-peripheral-vascular-inc/ | 2020-03-03T00:00:00 | en | Powerline PTCA Catheter Market Set for Rapid Growth and Trend by 2025 | ENDO-FLEX GmbH, Medi-Globe GmbH, NuMED, Bard Peripheral Vascular, Inc – Nyse News Times |
Powerline PTCA Catheter Market Set for Rapid Growth and Trend by 2025 | ENDO-FLEX GmbH, Medi-Globe GmbH, NuMED, Bard Peripheral Vascular, Inc – Nyse News Times
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Powerline PTCA Catheter Market Set for Rapid Growth and Trend by 2025 | ENDO-FLEX GmbH, Medi-Globe GmbH, NuMED, Bard Peripheral Vascular, Inc
John Lewis March 3, 2020
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Powerline PTCA CatheterPowerline PTCA Catheter IndustryPowerline PTCA Catheter Industry MarketPowerline PTCA Catheter MarketPowerline PTCA Catheter Market Industry
Latest trends report on global Powerline PTCA Catheter market 2020 with upcoming industry trends, size, share, top companies profiles, growth report and forecast by 2025.
An analysis of Powerline PTCA Catheter Market has been provided in the latest report launched by Ricerca Alfa that primarily focuses on the market trends, demand spectrum, and future prospects of this industry over the forecast period. Furthermore, the report provides a detailed statistical overview in terms of trends outlining the geographical opportunities and contributions by prominent industry share contenders.
Click Here To Access PDF Sample Copy @ https://www.ricercaalfa.com/request-sample/53049/Global-Powerline-PTCA-Catheter-Sales-Market
Moreover, the report centers on providing comprehensive analytical data on the regional segments, which include North America, Asia-Pacific, Middle East& Africa, and the Rest of the World. Other than this, development plans & policies, marketing terminologies, manufacturing protocols, current trends, dynamics of the market, and classification have been explained in brief in this report. The team of researchers and analysts presents the readers accurate statistics and analytical data in the report in a simple manner by means of graphs, diagrams, pie charts, and other pictorial illustrations.
Major Players included in this report are as follows – ENDO-FLEX GmbH Medi-Globe GmbH NuMED Bard Peripheral Vascular Inc Cook Incorporated Clearstream Technologies Ltd Wilson-Cook Medical Incorporated Boston Scientific Corporation EuroCor GmbH Kaneka Corporation Changzhou Jiuhong Changzhou VedKang Nanjing Micro-tech
Powerline PTCA Catheter Market can be segmented into Product Types as – Type I Type II Type III
Powerline PTCA Catheter Market can be segmented into Applications as – Application 1 Application 2 Application 3
Powerline PTCA Catheter 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.)
Enquire Here For Report Customization @ https://www.ricercaalfa.com/page/enquire/53049/Global-Powerline-PTCA-Catheter-Sales-Market
Important Points Mentioned in the Powerline PTCA Catheter Market Study
Manufacturing Analysis: The report initially analyzes the various segments of the market in a brief manner, which includes product types, applications, and so on. Further, the report consists of a separate section wherein an in-depth analysis of the manufacturing process has been provided which has been verified through primary information collected by experts of reputed industries as well as the industry analysts.
Sales and Revenue Estimation: By applying several top-down and bottom-up approaches to the previous years sales and revenue data as well as the present market scenario, the analysts have anticipated the market growth and size in major geographies. The report further includes an all-inclusive study on the applications and end-user industries participating in the market. Furthermore, the report provides crucial data on the regulatory policies and guidelines, as well as the macro-economic factors that determine the evolution of the market along with predictive analysis.
Demand & Supply Assessment: The report further offers key information on the manufacturing and cost analysis, consumption ratio, import/export factors, and product and service distribution.
Competitiveness: The report provides crucial data based on the company profile, product portfolio, product and service cost, potential, sales and revenue generated by the key pioneers and other leading companies.
Introduction about Global Powerline PTCA Catheter Market Global Powerline PTCA Catheter Market Size (Sales) Market Share in 2019 by Product Type (Categorization) Global Powerline PTCA Catheter Market Size (Sales) Market Share in 2019 by Application Type (End-Users) Global Powerline PTCA Catheter Growth Rate and Sales (2019-2025) Global Powerline PTCA Catheter Market Share and Sales (Volume) Comparison by Applications Global Powerline PTCA Catheter Suppliers/Players Profiles along with their Sales Data Powerline PTCA Catheter Competition by Region, Application, Type, and Suppliers/Players Defined (Value, Sales Price, and Volume) table for each geographic region under Powerline PTCA Catheter A separate table of product value, market sales, gross margin, and revenue (2014-2019) for each product type
Additional Information: List of competitors along with their basic information and manufacturing platform
Essential commodities to generate the final product, supply chain, price trends, industrial chain analysis, sourcing strategy, and downstream buyers and more incomplete table of Contents.
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| Powerline PTCA Catheter Market Set for Rapid Growth and Trend by 2025 | Powerline PTCA Catheter Market Set Rapid Growth Trend 2025 ENDOFLEX GmbH, MediGlobe GmbH, NuMED, Bard Peripheral Vascular, Nyse News Times Skip content Tuesday, March 03, 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 Industry Analysis Industry Reports Market Analysis Market Outlook Market Research Powerline PTCA Catheter Market Set Rapid Growth Trend 2025 ENDOFLEX GmbH, MediGlobe GmbH, NuMED, Bard Peripheral Vascular, John Lewis March 3, 2020 No Comments Powerline PTCA CatheterPowerline PTCA Catheter IndustryPowerline PTCA Catheter Industry MarketPowerline PTCA Catheter MarketPowerline PTCA Catheter Market Industry Latest trends report globalPowerline PTCA Cathetermarket 2020 upcoming industry trends, size, share, companies profiles, growth report forecast 2025. An analysis ofPowerline PTCA Catheter Markethas provided latest report launched Ricerca Alfa primarily focuses market trends, demand spectrum, future prospects industry forecast period. Furthermore, report provides detailed statistical overview terms trends outlining geographical opportunities contributions prominent industry share contenders. Click Here To Access PDF Sample Copy @ Moreover, report centers providing comprehensive analytical data regional segments, include North America, AsiaPacific, Middle East Africa, Rest World. Other this, development plans policies, marketing terminologies, manufacturing protocols, current trends, dynamics market, classification explained brief report. The team researchers analysts presents readers accurate statistics analytical data report simple manner means graphs, diagrams, pie charts, pictorial illustrations. Major Players included report follows ENDOFLEX GmbH MediGlobe GmbH NuMED Bard Peripheral Vascular Cook orporated Clearstream Technologies Ltd WilsonCook Medical orporated Boston Scientific Corporation EuroCor GmbH Kaneka Corporation Changzhou Jiuhong Changzhou VedKang Nanjing Microtech Powerline PTCA Catheter Market segmented Product Types Type I Type II Type III Powerline PTCA Catheter Market segmented Applications Application 1 Application 2 Application 3 Powerline PTCA Catheter Market: Regional analysis includes:AsiaPacificVietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, AustraliaEuropeTurkey, Germany, Russia UK, Italy, France, etc.North AmericaUnited States, Mexico, Canada.South AmericaBrazil etc.The Middle East AfricaGCC Countries Egypt. Enquire Here For Report Customization @ Important Points Mentioned Powerline PTCA Catheter Market Study Manufacturing Analysis:The report initially analyzes segments market brief manner, includes product types, applications, on. Further, report consists separate section indepth analysis manufacturing process provided verified primary information collected experts reputed industries industry analysts. Sales Revenue Estimation:By applying topdown bottomup approaches previous years sales revenue data present market scenario, analysts anticipated market growth size major geographies. The report includes allinclusive study applications enduser industries participating market. Furthermore, report provides crucial data regulatory policies guidelines, macroeconomic factors determine evolution market predictive analysis. Demand Supply Assessment:The report offers key information manufacturing cost analysis, consumption ratio, importexport factors, product service distribution. Competitiveness:The report provides crucial data based company profile, product portfolio, product service cost, potential, sales revenue generated key pioneers leading companies. Introduction Global Powerline PTCA Catheter Market Global Powerline PTCA Catheter Market Size Sales Market Share 2019 Product Type Categorization Global Powerline PTCA Catheter Market Size Sales Market Share 2019 Application Type EndUsers Global Powerline PTCA Catheter Growth Rate Sales 20192025 Global Powerline PTCA Catheter Market Share Sales Volume Comparison Applications Global Powerline PTCA Catheter SuppliersPlayers Profiles Sales Data Powerline PTCA Catheter Competition Region, Application, Type, SuppliersPlayers Defined Value, Sales Price, Volume table geographic region Powerline PTCA Catheter A separate table product value, market sales, gross margin, revenue 20142019 product type Additional Information:List competitors basic information manufacturing platform Essential commodities generate final product, supply chain, price trends, industrial chain analysis, sourcing strategy, downstream buyers incomplete table Contents. : Ricerca Alfa market research, consulting, report resellers business world, dedicated assist worldwide organizations deliver practical lasting results valuable recommendations emerging technology industry trends, granular quantitative qualitative information. We comprehensive database market research reports backed prominent research analysts seeking reliable facts unbiased market insights. Leave Reply Cancel reply Your email address published. 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https://observer.com/2023/07/philanthropic-legacy-tony-bennett/ | 2023-07-24T00:00:00 | en | The Philanthropic Legacy of Tony Bennett | Observer |
The Philanthropic Legacy of Tony Bennett | Observer
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The Philanthropic Legacy of Tony Bennett
From the founding of an arts school in Astoria, Queens, to his support for numerous charitable organizations, these are some of Bennett's most notable philanthropic contributions.
By Alexandra Tremayne-Pengelly • 07/24/23 1:51pm
Tony Bennett, who died on July 21 at age 96, not only left behind a monumental music career spanning generations and genres but also a legacy of impactful philanthropy. The same passion that earned him twenty Grammy Awards and produced iconic hits like “I Left My Heart in San Francisco” was equally evident in his numerous charitable efforts over the years.
Tony Bennett performing at the Clinton Global Citizen Awards in 2015. JP Yim/Getty Images
Bennett, who fought Alzheimer’s disease for the better part of a decade, supported causes ranging from arts education to medical research and environmental awareness. The New York native’s consistent fundraising efforts even earned him the nickname “Tony Benefit” in the 1990s.
The Rainforest Foundation, Walden Woods Project and Juvenile Diabetes Foundation were just some of the organizations that saw Bennett perform at benefits. The singer discussed his work at the Juvenile Diabetes Foundation, for which he raised millions throughout his career, at a 1999 Senate hearing on diabetes among youth. “I don’t consider myself an expert on diabetes but I had enough first-hand experience with those who have suffered its consequences to know what havoc it can wreak on the human body,” said Bennett, who witnessed his grandson and fellow musicians Ella Fitzgerald and Bobby Hackett suffer from the disease. Bennett also established his own research fund at the Juvenile Diabetes Foundation, later donating concert tickets and paintings to a 2010 auction raising money for a juvenile diabetes cure.
Tony Bennett and Elton John at a 1999 benefit for the Rainforest Foundation. Scott Gries/Getty Images
Bennett was also a prolific painter, with a painting hanging in the Smithsonian American Art Museum and works commissioned by the United Nations and Kentucky Derby. For nearly the past three decades, he utilized his artistic skills by creating original artwork for the American Cancer Society’s annual holiday greeting card. As of 2018, the proceeds of Bennett’s cards had raised more than $800,000 for cancer research.
The legendary singer was given the Humanitarian Award in 2007 by the United Nations High Commissioner for Refugees, the same year he helped fundraise for victims of violence in Darfur, Sudan. He was also awarded the Salute to Greatness Award from the Martin Luther King Center for his championing of civil rights, which included marching with Martin Luther King Jr. from Selma to Montgomery in 1965. Bennett has additionally supported mental health initiatives, donating the proceeds of his 2011 “Body and Soul” cover duet with Amy Winehouse towards the foundation established in her name. And in 2012, he hosted two charity events in Miami that raised nearly $500,000 toward organizations focused on arts education and tennis programs for youth.
The Frank Sinatra School of Arts
Perhaps the most notable charitable gift from Bennett was conceived of back in 1999, when the singer and his wife Susan Benedetto became interested in establishing a high school focused on the arts. With support from the New York City Department of Education, the couple founded the Frank Sinatra School of Arts in 2001. Located in Astoria, Queens, where Bennett was born and raised, the public school was named as a tribute to his close friend and fellow musical icon. In a 2003 interview, Bennett cited the number of musicians originating from Queens, such as Louis Armstrong and Ethel Merman, while discussing the institute. “We look across the East River at the Empire State Building and we dream of doing great things,” he said.
Tony Bennett with students of the Frank Sinatra School of Music in 2006. David Corio/Getty Images
In an Instagram post earlier this week, the Frank Sinatra School of Arts said that its thousands of students “are forever changed” because of Bennett. “His passion for the arts was unbridled and he wanted to be certain his legacy was for young people to have an opportunity to learn and share their art with the world.”
After it opened its doors, Bennett continued to support the school’s art program and scholarship opportunities through his nonprofit Exploring the Arts, which he launched to fund the institution’s creation. The organization has since expanded to partner with 56 schools across New York and Los Angeles, giving out more than $3 million to schools suffering from arts budget cuts or serving high-need communities.
“Tony’s influence has left an indelible mark on our students, families, schools, staff and communities,” said Exploring the Arts, which recently established a fund in Bennett’s honor, in a statement. “His extraordinary legacy will continue through Exploring the Arts, inspiring future generations of artists.”
Filed Under:
Arts, American Cancer Society, Tony Bennett, Amy Winehouse, Frank Sinatra, public school system, philanthropy, New York City, New York
SEE ALSO: Sotheby’s New Gen Art Program Will Use an Old Dutch Auction Format
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| The Philanthropic Legacy of Tony Bennett | The Philanthropic Legacy Tony Bennett Observer for: Submit Observer Business Finance Tech Media Lifestyle Arts Entertainment Newsletters Entertainment What Watch Books Reviews Movies TV Theater Music Arts Visual Art Business Management Media Technology Space Lifestyle Fashion Travel Beauty About Masthead Editorial Ethics Guidelines Advertise With Us Observer Advertising Guidelines Events Newsletters Arts The Philanthropic Legacy Tony Bennett From founding arts school Astoria, Queens, support numerous charitable organizations, Bennetts notable philanthropic contributions. By Alexandra TremaynePengelly 072423 1:51pm Tony Bennett, died July 21 age 96, left monumental music career spanning generations genres legacy impactful philanthropy. The passion earned Grammy Awards produced iconic hits like I Left My Heart San Francisco equally evident numerous charitable efforts years. Tony Bennett performing Clinton Global Citizen Awards 2015. JP YimGetty Images Bennett, fought Alzheimers disease better decade, supported causes ranging arts education medical research environmental awareness. The New York natives consistent fundraising efforts earned nickname Tony Benefit 1990s. The Rainforest Foundation, Walden Woods Project Juvenile Diabetes Foundation organizations saw Bennett perform benefits. The singer discussed work Juvenile Diabetes Foundation, raised millions career, 1999 Senate hearing diabetes youth. I dont consider expert diabetes I firsthand experience suffered consequences know havoc wreak human body, said Bennett, witnessed grandson fellow musicians Ella Fitzgerald Bobby Hackett suffer disease. Bennett established research fund Juvenile Diabetes Foundation, later donating concert tickets paintings 2010 auction raising money juvenile diabetes cure. Tony Bennett Elton John 1999 benefit Rainforest Foundation. Scott GriesGetty Images Bennett prolific painter, painting hanging Smithsonian American Art Museum works commissioned United Nations Kentucky Derby. For nearly past decades, utilized artistic skills creating original artwork American Cancer Societys annual holiday greeting card. As 2018, proceeds Bennetts cards raised 800,000 cancer research. The legendary singer given Humanitarian Award 2007 United Nations High Commissioner Refugees, year helped fundraise victims violence Darfur, Sudan. He awarded Salute Greatness Award Martin Luther King Center championing civil rights, included marching Martin Luther King Jr. Selma Montgomery 1965. Bennett additionally supported mental health initiatives, donating proceeds 2011 Body Soul cover duet Amy Winehouse foundation established name. And 2012, hosted charity events Miami raised nearly 500,000 organizations focused arts education tennis programs youth. The Frank Sinatra School Arts Perhaps notable charitable gift Bennett conceived 1999, singer wife Susan Benedetto interested establishing high school focused arts. With support New York City Department Education, couple founded Frank Sinatra School Arts 2001. Located Astoria, Queens, Bennett born raised, public school named tribute close friend fellow musical icon. In 2003 interview, Bennett cited number musicians originating Queens, Louis Armstrong Ethel Merman, discussing institute. We look East River Empire State Building dream great things, said. Tony Bennett students Frank Sinatra School Music 2006. David CorioGetty Images In Instagram post earlier week, Frank Sinatra School Arts said thousands students forever changed Bennett. His passion arts unbridled wanted certain legacy young people opportunity learn share art world. After opened doors, Bennett continued support schools art program scholarship opportunities nonprofit Exploring Arts, launched fund institutions creation. The organization expanded partner 56 schools New York Los Angeles, giving 3 million schools suffering arts budget cuts serving highneed communities. Tonys influence left indelible mark students, families, schools, staff communities, said Exploring Arts, recently established fund Bennetts honor, statement. His extraordinary legacy continue Exploring Arts, inspiring future generations artists. Filed Under: Arts, American Cancer Society, Tony Bennett, Amy Winehouse, Frank Sinatra, public school system, philanthropy, New York City, New York SEE ALSO: Sothebys New Gen Art Program Will Use Old Dutch Auction Format About Advertise Advertising Guidelines Editorial Ethics Sitemap Newsletters RSS Feeds Privacy Terms Settings Do sell data Powered WordPress VIP We noticed youre ad blocker. We it: like control internet experience. But advertising revenue helps support journalism. To read stories, turn ad blocker.Wed appreciate it. How Do I Whitelist Observer? How Do I Whitelist Observer? Below steps order whitelist browser: For Adblock: Click button browser select Dont run domain. For Adblock Plus Google Chrome: Click Plus button browser select Enabled site. For Adblock Plus Firefox: Click Plus button browser select Disable . Then Reload Page | 2,023 | [
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https://phys.org/news/2020-12-machine-solution-materials-desired-optical.html | 2020-12-02T00:00:00 | en | A machine learning solution for designing materials with desired optical properties |
A machine learning solution for designing materials with desired optical properties
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December 2, 2020
A machine learning solution for designing materials with desired optical properties
by Julie Chao, Lawrence Berkeley National Laboratory
Controlling light-matter interactions is central to a variety of important applications, such as quantum dots, which can be used as light emitters and sensors. Credit: PlasmaChem
Understanding how matter interacts with light—its optical properties—is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem—designing a structure with desired optical properties—is even harder.
Now Berkeley Lab scientists have developed a machine learning model that can be used for both problems—calculating optical properties of a known structure and, inversely, designing a structure with desired optical properties. Their study was published in Cell Reports Physical Science.
"Our model performs bi-directionally with high accuracy and its interpretation qualitatively recovers physics of how metal and dielectric materials interact with light," said corresponding author Sean Lubner.
Lubner notes that understanding radiative properties (which includes optical properties) is equally important in the natural world for calculating the impact of aerosols such as black carbon on climate change.
The machine learning model proposed in this study was trained on spectral emissivity data from nearly 16,000 particles of various shapes and materials that can be experimentally fabricated.
"Our machine learning model speeds up the inverse design process by at least two to three orders of magnitude as compared to the traditional method of inverse design," said co-author Ravi Prasher, who is also Berkeley Lab's Associate Director for Energy Technologies.
Mahmoud Elzouka, Charles Yang, and Adrian Albert, all scientists in Berkeley Lab's Energy Technologies Area, were also co-authors.
Explore further
Inverse design software automates design process for optical, nanophotonic structures
More information:
Mahmoud Elzouka et al, Interpretable Forward and Inverse Design of Particle Spectral Emissivity Using Common Machine-Learning Models, Cell Reports Physical Science (2020). DOI: 10.1016/j.xcrp.2020.100259
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A machine learning solution for designing materials with desired optical properties (2020, December 2)
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| A machine learning solution for designing materials with desired optical properties | A machine learning solution designing materials desired optical properties Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Technology Chemistry Biology Other Sciences share 23 16 Share Email Home Chemistry Materials Science December 2, 2020 A machine learning solution designing materials desired optical properties Julie Chao, Lawrence Berkeley National Laboratory Controlling lightmatter interactions central variety important applications, quantum dots, light emitters sensors. Credit: PlasmaChem Understanding matter interacts lightits optical propertiesis critical myriad energy biomedical technologies, targeted drug delivery, quantum dots, fuel combustion, cracking biomass. But calculating properties computationally intensive, inverse problemdesigning structure desired optical propertiesis harder. Now Berkeley Lab scientists developed machine learning model problemscalculating optical properties known structure and, inversely, designing structure desired optical properties. Their study published Cell Reports Physical Science. Our model performs bidirectionally high accuracy interpretation qualitatively recovers physics metal dielectric materials interact light, said corresponding author Sean Lubner. Lubner notes understanding radiative properties includes optical properties equally important natural world calculating impact aerosols black carbon climate change. The machine learning model proposed study trained spectral emissivity data nearly 16,000 particles shapes materials experimentally fabricated. Our machine learning model speeds inverse design process orders magnitude compared traditional method inverse design, said coauthor Ravi Prasher, Berkeley Labs Associate Director Energy Technologies. Mahmoud Elzouka, Charles Yang, Adrian Albert, scientists Berkeley Labs Energy Technologies Area, coauthors. Explore Inverse design software automates design process optical, nanophotonic structures More information: Mahmoud Elzouka et al, Interpretable Forward Inverse Design Particle Spectral Emissivity Using Common MachineLearning Models, Cell Reports Physical Science 2020. DOI: 10.1016j.xcrp.2020.100259 Provided Lawrence Berkeley National Laboratory Citation: A machine learning solution designing materials desired optical properties 2020, December 2 retrieved 2 December 2020 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 39shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Elephants highest volume daily water loss recorded land animal 8 hours ago 0 Sediment cores Dogger Littoral suggest Dogger Island survived ancient tsunami 8 hours ago 0 Study river otters near oilsands operations shows reduced baculum strength Dec 01, 2020 0 A possible way measure ancient rate cosmic ray strikes paleodetectors Dec 01, 2020 0 Thermonuclear typeI Xray bursts detected MAXI J1807132 Dec 01, 2020 0 Supernova surprise creates elemental mystery 49 minutes ago No nanoparticle risks field tests spray sunscreens 1 hour ago Climate change catalyst Greater Cahokia 1 hour ago A combined strategy catalyst design Suzuki crosscouplings 1 hour ago New platform generates hybrid lightmatter excitations highly charged graphene 1 hour ago Chaotic early solar collisions resembled asteroids arcade game 1 hour ago Best region life Mars far surface 2 hours ago Relevant PhysicsForums posts 1420 MHz emission frequency cold hydrogen gas 3 hours ago Swimming pool chemistry Dec 01, 2020 Is empenthrin safer 14 dicholorobenzene? mothballs Nov 28, 2020 List H20 breakdown substances Nov 26, 2020 Does white vinegar neutralize airborne odors mask them? Nov 25, 2020 Steric inhibition resonance Nov 22, 2020 More Chemistry Related Stories Inverse design software automates design process optical, nanophotonic structures Mar 10, 2020 Palladium, meet copper: Researchers use machine learning improve catalysts Nov 17, 2020 Algorithm predicts compositions new materials Aug 07, 2020 Scientists predict new superhard materials Sep 10, 2020 Scientists demonstrate tunable, atomically semiconductors Aug 21, 2020 Computers excel chemistry class Aug 25, 2020 Recommended A combined strategy catalyst design Suzuki crosscouplings 1 hour ago Researchers develop new electrode structure allsolidstate secondary battery 8 hours ago New glue sticks easily, holds strongly, gas pull apart 5 hours ago New butterflyinspired hydrogen sensor powered light 5 hours ago Chemistry professor uses old materials newer, better solar cells 6 hours ago New method sees fibers 3D, uses estimate conductivity Dec 01, 2020 User comments What think particular story? Your feedback directly Science X editors. Your message editors Your email want contacted Send Feedback Thank taking time send valued opinion Science X editors. You assured editors closely monitor feedback sent appropriate actions. Your opinions important us. We guarantee individual replies extremely high volume correspondence. Email story A machine learning solution designing materials desired optical properties Your friends email Your email I like subscribe Science X Newsletter. Learn Your Note Your email address let recipient know sent email. Neither address recipients address purpose. The information enter appear email message retained form. Your message Send Newsletter sign Get weekly andor daily updates delivered inbox. You unsubscribe time share details parties. 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https://phys.org/news/2022-11-artificial-intelligence-deciphers-detector-clouds.html | 2022-11-07T00:00:00 | en | Artificial intelligence deciphers detector 'clouds' to accelerate materials research |
Artificial intelligence deciphers detector 'clouds' to accelerate materials research
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November 7, 2022
Artificial intelligence deciphers detector 'clouds' to accelerate materials research
by Chris Patrick, SLAC National Accelerator Laboratory
(a) An example of an XPFS detector image over a 90 × 90 pixelated detectors. (b) Corresponding image of the photon map produced by the simulator for the detector image, plotted as the photon distribution per speckle. Credit: Structural Dynamics (2022). DOI: 10.1063/4.0000161
X-rays can be used like a superfast, atomic-resolution camera, and if researchers shoot a pair of X-ray pulses just moments apart, they get atomic-resolution snapshots of a system at two points in time. Comparing these snapshots shows how a material fluctuates within a tiny fraction of a second, which could help scientists design future generations of super-fast computers, communications, and other technologies.
Resolving the information in these X-ray snapshots, however, is difficult and time intensive, so Joshua Turner, a lead scientist at the Department of Energy's SLAC National Accelerator Center and Stanford University, and ten other researchers turned to artificial intelligence to automate the process. Their machine learning-aided method, published October 17 in Structural Dynamics, accelerates this X-ray probing technique, and extends it to previously inaccessible materials.
"The most exciting thing to me is that we can now access a different range of measurements, which we couldn't before," Turner said.
Handling the blob
When studying materials using this two-pulse technique, the X-rays scatter off a material and are usually detected one photon at a time. A detector measures these scattered photons, which are used to produce a speckle pattern—a blotchy image that represents the precise configuration of the sample at one instant in time. Researchers compare the speckle patterns from each pair of pulses to calculate fluctuations in the sample.
"However, every photon creates an explosion of electrical charge on the detector," Turner said. "If there are too many photons, these charge clouds merge together to create an unrecognizable blob." This cloud of noise means the researchers must collect tons of scattering data to yield a clear understanding of the speckle pattern.
"You need a lot of data to work out what's happening in the system," said Sathya Chitturi, a Ph.D. student at Stanford University who led this work. He is advised by Turner and coauthor Mike Dunne, director of the Linac Coherent Light Source (LCLS) X-ray laser at SLAC.
With conventional methods, all of the data had to be collected first, then analyzed using models that estimate how the photons bunch together at the detector—a lengthy process to understand the speckle patterns.
The machine learning method, on the other hand, uses the raw detector image of scattered photons to directly extract fluctuation information. This new method is ten times faster on its own and 100 times faster when combined with improved hardware, allowing data analysis in closer to real time.
Part of the success of the new method came from the efforts of coauthor Nicolas Burdet, an associate staff scientist at SLAC who developed a simulator that produced data with which to train the machine learning model. Through this training, the algorithm was able to learn how the charge clouds merge, and untangle how many photons hit the detector per blob and per pulse pair. The model proved accurate even under very blobby conditions.
Seeing beyond the clouds
The model can extract information for a range of materials that have been difficult to study because X-rays scatter off them too weakly for detection, such as high-temperature superconductors or quantum spin liquids. Chitturi said the new method could also be applied to other, non-quantum materials, including colloids, alloys, and glasses.
Turner said the research should be a help for the LCLS-II upgrade, which will allow researchers to collect up to a million images, or a few terabytes of data, per second, compared to about a hundred images a second for LCLS.
"At SLAC we're excited about this upgrade but have also been kind of worried if we can handle this amount of data," Turner said. In a related paper, the team found that their new technique should be fast enough to deal with all that data. "This new algorithm will really help."
The speed boost offered by artificial intelligence promises to also alter the experimental process itself. Instead of making decisions after data collection and analysis, researchers will be able to analyze data and make changes during data collection, which could save time and money spent during the experiment. It will also allow the researchers to spot surprises and redirect their experiments in real time to investigate unexpected phenomena.
"This method can let you explore more of the materials science you're interested in and maximize scientific impact by letting you make decisions at different points along your experiment about changes in experimental variables such as temperature, magnetic field, and material composition," Chitturi said.
The study is part of a larger collaboration between SLAC, Northeastern University, and Howard University to use machine learning to advance materials and chemistry research.
More information:
Sathya R. Chitturi et al, A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis, Structural Dynamics (2022). DOI: 10.1063/4.0000161
Hongwei Chen et al, Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities, arXiv (2022). DOI: 10.48550/arxiv.2210.10137
Journal information:
arXiv
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SLAC National Accelerator Laboratory
Citation:
Artificial intelligence deciphers detector 'clouds' to accelerate materials research (2022, November 7)
retrieved 7 November 2022
from https://phys.org/news/2022-11-artificial-intelligence-deciphers-detector-clouds.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
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| Artificial intelligence deciphers detector 'clouds' to accelerate materials research | Artificial intelligence deciphers detector clouds accelerate materials research 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 Twit Share Email Home Chemistry Analytical Chemistry Home Chemistry Materials Science November 7, 2022 Artificial intelligence deciphers detector clouds accelerate materials research Chris Patrick, SLAC National Accelerator Laboratory An example XPFS detector image 9090 pixelated detectors. b Corresponding image photon map produced simulator detector image, plotted photon distribution speckle. Credit: Structural Dynamics 2022. DOI: 10.10634.0000161 Xrays like superfast, atomicresolution camera, researchers shoot pair Xray pulses moments apart, atomicresolution snapshots points time. Comparing snapshots shows material fluctuates tiny fraction second, help scientists design future generations superfast computers, communications, technologies. Resolving information Xray snapshots, however, difficult time intensive, Joshua Turner, lead scientist Department Energys SLAC National Accelerator Center Stanford University, researchers turned artificial intelligence automate process. Their machine learningaided method, published October 17 Structural Dynamics, accelerates Xray probing technique, extends previously inaccessible materials. The exciting thing access different range measurements, before, Turner said. Handling blob When studying materials twopulse technique, Xrays scatter material usually detected photon time. A detector measures scattered photons, produce speckle patterna blotchy image represents precise configuration sample instant time. Researchers compare speckle patterns pair pulses calculate fluctuations sample. However, photon creates explosion electrical charge detector, Turner said. If photons, charge clouds merge create unrecognizable blob. This cloud noise means researchers collect tons scattering data yield clear understanding speckle pattern. You need lot data work whats happening system, said Sathya Chitturi, Ph.D. student Stanford University led work. He advised Turner coauthor Mike Dunne, director Linac Coherent Light Source LCLS Xray laser SLAC. With conventional methods, data collected first, analyzed models estimate photons bunch detectora lengthy process understand speckle patterns. The machine learning method, hand, uses raw detector image scattered photons directly extract fluctuation information. This new method times faster 100 times faster combined improved hardware, allowing data analysis closer real time. Part success new method came efforts coauthor Nicolas Burdet, associate staff scientist SLAC developed simulator produced data train machine learning model. Through training, algorithm able learn charge clouds merge, untangle photons hit detector blob pulse pair. The model proved accurate blobby conditions. Seeing clouds The model extract information range materials difficult study Xrays scatter weakly detection, hightemperature superconductors quantum spin liquids. Chitturi said new method applied other, nonquantum materials, including colloids, alloys, glasses. Turner said research help LCLSII upgrade, allow researchers collect million images, terabytes data, second, compared images second LCLS. At SLAC excited upgrade kind worried handle data, Turner said. In related paper, team new technique fast deal data. This new algorithm help. The speed boost offered artificial intelligence promises alter experimental process itself. Instead making decisions data collection analysis, researchers able analyze data changes data collection, save time money spent experiment. It allow researchers spot surprises redirect experiments real time investigate unexpected phenomena. This method let explore materials science youre interested maximize scientific impact letting decisions different points experiment changes experimental variables temperature, magnetic field, material composition, Chitturi said. The study larger collaboration SLAC, Northeastern University, Howard University use machine learning advance materials chemistry research. More information: Sathya R. Chitturi et al, A machine learning photon detection algorithm coherent xray ultrafast fluctuation analysis, Structural Dynamics 2022. DOI: 10.10634.0000161 Hongwei Chen et al, Testing data framework AI algorithm preparation high data rate Xray facilities, arXiv 2022. DOI: 10.48550arxiv.2210.10137 Journal information: arXiv Provided SLAC National Accelerator Laboratory Citation: Artificial intelligence deciphers detector clouds accelerate materials research 2022, November 7 retrieved 7 November 2022 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. Explore New Xray laser technique reveals magnetic skyrmion fluctuations 0shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Genetic analysis Neolithic people Mesopotamia shows blend demographics 7 hours ago 0 Study unveils compositions origins global airborne bacteria Earth 7 hours ago 0 New radioloud highredshift quasar discovered 9 hours ago 0 Using molecular isomerization polymer gels hide passcodes Nov 04, 2022 0 The direct measurement protons generalized polarizabilities strong quantum chromodynamics regime Nov 04, 2022 0 Designing nextgeneration metals, atom time 1 hour ago Rare fossil clam discovered alive 1 hour ago Study finds Americans likely share COVID19 misinformation online 1 hour ago Silicon photonic microelectromechanical systems step forward 1 hour ago Sea urchins trucking marine life languishes Florida Keys 1 hour ago Neuron function altered widely anesthetic propofol 1 hour ago Earths oldest stromatolites search life Mars 2 hours ago Relevant PhysicsForums posts Nucleophilicity respect solvent 8 hours ago Valid shapes DNA Nov 03, 2022 Dissolving Particles Oil Water resistant Nov 03, 2022 Do oxide oxygenless ammonia combine bleach poison? Nov 02, 2022 Reusing Isopropyl Alcohol bottle Drinking Water? Nov 02, 2022 Mining waste cheaper hydrogen fuel production Oct 26, 2022 More Chemistry Related Stories New Xray laser technique reveals magnetic skyrmion fluctuations Aug 29, 2017 AI learns physics optimize particle accelerator performance Jul 29, 2021 Why skyrmions lot common glass hightemperature superconductors Oct 13, 2021 New machine learning tool diagnoses electron beams efficient, noninvasive way Mar 24, 2021 A new machine learning method streamlines particle accelerator operations Apr 29, 2020 Ghostly Xray images provide key info analyzing Xray laser experiments Apr 04, 2019 Recommended Designing nextgeneration metals, atom time 1 hour ago Research advances artificial enzyme engineering 7 hours ago Ceramics breathe oxygen lower temperatures help breathe cleaner air 9 hours ago Fluorescence achieved lightdriven molecular motors Nov 04, 2022 Egg whites transformed material capable filtering microplastics seawater Nov 04, 2022 Using molecular isomerization polymer gels hide passcodes Nov 04, 2022 Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . 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] | 1 | 2,126 |
https://phys.org/news/2023-03-nasa-enabled-ai-solar-storms.html | 2023-03-31T00:00:00 | en | NASA-enabled AI predictions may give time to prepare for solar storms |
NASA-enabled AI predictions may give time to prepare for solar storms
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NASA-enabled AI predictions may give time to prepare for solar storms
by Vanessa Thomas, NASA's Goddard Space Flight Center
NASA's Solar Dynamics Observatory captured this image of a solar flare on Oct. 2, 2014. The solar flare is the bright flash of light at top. A burst of solar material erupting out into space can be seen just to the right of it. Credit: NASA/SDO
Like a tornado siren for life-threatening storms in America's heartland, a new computer model that combines artificial intelligence (AI) and NASA satellite data could sound the alarm for dangerous space weather.
The model uses AI to analyze spacecraft measurements of the solar wind (an unrelenting stream of material from the sun) and predict where an impending solar storm will strike, anywhere on Earth, with 30 minutes of advance warning. This could provide just enough time to prepare for these storms and prevent severe impacts on power grids and other critical infrastructure.
The sun constantly sheds solar material into space—both in a steady flow known as the "solar wind," and in shorter, more energetic bursts from solar eruptions. When this solar material strikes Earth's magnetic environment (its "magnetosphere"), it sometimes creates so-called geomagnetic storms. The impacts of these magnetic storms can range from mild to extreme, but in a world increasingly dependent on technology, their effects are growing ever more disruptive.
For example, a destructive solar storm in 1989 caused electrical blackouts across Quebec for 12 hours, plunging millions of Canadians into the dark and closing schools and businesses. The most intense solar storm on record, the Carrington Event in 1859, sparked fires at telegraph stations and prevented messages from being sent. If the Carrington Event happened today, it would have even more severe impacts, such as widespread electrical disruptions, persistent blackouts, and interruptions to global communications. Such technological chaos could cripple economies and endanger the safety and livelihoods of people worldwide.
This movie, captured by NASA’s Solar and Heliospheric Observatory (SOHO), shows two eruptions from the sun called coronal mass ejections, which blasted charged particles into space on Oct. 28 and 29, 2003. Some of these high-energy particles hit SOHO’s camera, creating what looks like snow. These blasts were part of a string of solar storms around Halloween of that year, which triggered a blackout in Sweden and caused disruptions to communications, aircraft, and spacecraft (including SOHO). In SOHO’s view, a disk blocks direct light from the sun so that fainter features near it can be seen, while the white circle represents the location and size of the sun. Credit: NASA/ESA
In addition, the risk of geomagnetic storms and devastating effects on our society is presently increasing as we approach the next "solar maximum"—a peak in the sun's 11-year activity cycle—which is expected to arrive sometime in 2025.
To help prepare, an international team of researchers at the Frontier Development Lab—a public-private partnership that includes NASA, the U.S. Geological Survey, and the U.S. Department of Energy—have been using artificial intelligence (AI) to look for connections between the solar wind and geomagnetic disruptions, or perturbations, that cause havoc on our technology. The researchers applied an AI method called "deep learning," which trains computers to recognize patterns based on previous examples. They used this type of AI to identify relationships between solar wind measurements from heliophysics missions (including ACE, Wind, IMP-8, and Geotail) and geomagnetic perturbations observed at ground stations across the planet.
DAGGER’s developers compared the model’s predictions to measurements made during solar storms in August 2011 and March 2015. At the top, colored dots show measurements made during the 2011 storm. Colors indicate the intensity of geomagnetic perturbations that can induce currents in electric grids, with orange and red indicating the strongest effects. DAGGER’s 30-minute forecast for that same time (bottom) shows the most intense perturbations in approximately the same locations around Earth’s north pole. Credit: V. Upendran et al.
From this, they developed a computer model called DAGGER (formally, Deep Learning Geomagnetic Perturbation) that can quickly and accurately predict geomagnetic disturbances worldwide, 30 minutes before they occur. According to the team, the model can produce predictions in less than a second, and the predictions update every minute.
The DAGGER team tested the model against two geomagnetic storms that happened in August 2011 and March 2015. In each case, DAGGER was able to quickly and accurately forecast the storm's impacts around the world.
Previous prediction models have used AI to produce local geomagnetic forecasts for specific locations on Earth. Other models that didn't use AI have provided global predictions that weren't very timely. DAGGER is the first one to combine the swift analysis of AI with real measurements from space and across Earth to generate frequently updated predictions that are both prompt and precise for sites worldwide.
"With this AI, it is now possible to make rapid and accurate global predictions and inform decisions in the event of a solar storm, thereby minimizing—or even preventing—devastation to modern society," said Vishal Upendran of the Inter-University Center for Astronomy and Astrophysics in India, who is the lead author of a paper about the DAGGER model published in the journal Space Weather.
The computer code in the DAGGER model is open source, and according to Upendran, it could be adopted, with help, by power grid operators, satellite controllers, telecommunications companies, and others to apply the predictions for their specific needs. Such warnings could give them time to take action to protect their assets and infrastructure from an impending solar storm, such as temporarily taking sensitive systems offline or moving satellites to different orbits to minimize damage.
With models like DAGGER, there could one day be solar storm sirens that sound an alarm in power stations and satellite control centers around the world, just as tornado sirens wail in advance of threatening terrestrial weather in towns and cities across America.
More information:
Vishal Upendran et al, Global Geomagnetic Perturbation Forecasting Using Deep Learning, Space Weather (2022). DOI: 10.1029/2022SW003045
Provided by
NASA's Goddard Space Flight Center
Citation:
NASA-enabled AI predictions may give time to prepare for solar storms (2023, March 31)
retrieved 31 March 2023
from https://phys.org/news/2023-03-nasa-enabled-ai-solar-storms.html
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| NASA-enabled AI predictions may give time to prepare for solar storms | NASAenabled AI predictions time prepare solar storms 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 Astronomy Space Astronomy Home Astronomy Space Planetary Sciences March 31, 2023 Editors notes This article reviewed according ScienceXs editorial process policies. Editors highlighted following attributes ensuring contents credibility: factchecked trusted source proofread NASAenabled AI predictions time prepare solar storms Vanessa Thomas, NASAs Goddard Space Flight Center NASAs Solar Dynamics Observatory captured image solar flare Oct. 2, 2014. The solar flare bright flash light top. A burst solar material erupting space seen right it. Credit: NASASDO Like tornado siren lifethreatening storms Americas heartland, new model combines artificial intelligence AI NASA satellite data sound alarm dangerous space weather. The model uses AI analyze spacecraft measurements solar wind unrelenting stream material sun predict impending solar storm strike, Earth, 30 minutes advance warning. This provide time prepare storms prevent severe impacts power grids critical infrastructure. The sun constantly sheds solar material spaceboth steady flow known solar wind, shorter, energetic bursts solar eruptions. When solar material strikes Earths magnetic environment magnetosphere, creates socalled geomagnetic storms. The impacts magnetic storms range mild extreme, world increasingly dependent technology, effects growing disruptive. For example, destructive solar storm 1989 caused electrical blackouts Quebec 12 hours, plunging millions Canadians dark closing schools businesses. The intense solar storm record, Carrington Event 1859, sparked fires telegraph stations prevented messages sent. If Carrington Event happened today, severe impacts, widespread electrical disruptions, persistent blackouts, interruptions global communications. Such technological chaos cripple economies endanger safety livelihoods people worldwide. This movie, captured NASAs Solar Heliospheric Observatory SOHO, shows eruptions sun called coronal mass ejections, blasted charged particles space Oct. 28 29, 2003. Some highenergy particles hit SOHOs camera, creating looks like snow. These blasts string solar storms Halloween year, triggered blackout Sweden caused disruptions communications, aircraft, spacecraft including SOHO. In SOHOs view, disk blocks direct light sun fainter features near seen, white circle represents location size sun. Credit: NASAESA In addition, risk geomagnetic storms devastating effects society presently increasing approach solar maximuma peak suns 11year activity cyclewhich expected arrive 2025. To help prepare, international team researchers Frontier Development Laba publicprivate partnership includes NASA, U.S. Geological Survey, U.S. Department Energyhave artificial intelligence AI look connections solar wind geomagnetic disruptions, perturbations, cause havoc technology. The researchers applied AI method called deep learning, trains computers recognize patterns based previous examples. They type AI identify relationships solar wind measurements heliophysics missions including ACE, Wind, IMP8, Geotail geomagnetic perturbations observed ground stations planet. DAGGERs developers compared models predictions measurements solar storms August 2011 March 2015. At top, colored dots measurements 2011 storm. Colors indicate intensity geomagnetic perturbations induce currents electric grids, orange red indicating strongest effects. DAGGERs 30minute forecast time shows intense perturbations approximately locations Earths north pole. Credit: V. Upendran et al. From this, developed model called DAGGER formally, Deep Learning Geomagnetic Perturbation quickly accurately predict geomagnetic disturbances worldwide, 30 minutes occur. According team, model produce predictions second, predictions update minute. The DAGGER team tested model geomagnetic storms happened August 2011 March 2015. In case, DAGGER able quickly accurately forecast storms impacts world. Previous prediction models AI produce local geomagnetic forecasts specific locations Earth. Other models didnt use AI provided global predictions werent timely. DAGGER combine swift analysis AI real measurements space Earth generate frequently updated predictions prompt precise sites worldwide. With AI, possible rapid accurate global predictions inform decisions event solar storm, minimizingor preventingdevastation modern society, said Vishal Upendran InterUniversity Center Astronomy Astrophysics India, lead author paper DAGGER model published journal Space Weather. The code DAGGER model open source, according Upendran, adopted, help, power grid operators, satellite controllers, telecommunications companies, apply predictions specific needs. Such warnings time action protect assets infrastructure impending solar storm, temporarily taking sensitive systems offline moving satellites different orbits minimize damage. With models like DAGGER, day solar storm sirens sound alarm power stations satellite control centers world, tornado sirens wail advance threatening terrestrial weather towns cities America. More information: Vishal Upendran et al, Global Geomagnetic Perturbation Forecasting Using Deep Learning, Space Weather 2022. DOI: 10.10292022SW003045 Provided NASAs Goddard Space Flight Center Citation: NASAenabled AI predictions time prepare solar storms 2023, March 31 retrieved 31 March 2023 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. Explore Earlier geomagnetic storm prediction wins time prepare 4shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Mechanisms ultrafast gigahertz burst femtosecond laser ablation 1 hour ago 0 Cold stream molecular gas outside galaxy observed, confirming theories star formation 1 hour ago 0 A new way assess propensity rivers generate extreme floods 1 hour ago 0 The modulation singlemolecule electron source light 1 hour ago 0 Sustainable space exploration harness microbes 3 hours ago 0 How space storms miscue train signals 29 minutes ago New study offers clues cancer spreads brain 35 minutes ago Mechanisms ultrafast gigahertz burst femtosecond laser ablation 1 hour ago Researchers discover birds neurotoxinladen feathers New Guinea 1 hour ago Background warming soil moisture feedback enhance impact heat domes, says study 1 hour ago Cold stream molecular gas outside galaxy observed, confirming theories star formation 1 hour ago Scallop eyes inspiration new microscope objectives 1 hour ago A new way assess propensity rivers generate extreme floods 1 hour ago New type friction discovered ligandprotein systems 1 hour ago The modulation singlemolecule electron source light 1 hour ago Related Stories Earlier geomagnetic storm prediction wins time prepare Jan 24, 2023 Image: Restless star makes stunning storm Feb 22, 2019 Want turn internet? It happen solar storm hits Earth Mar 14, 2019 A large solar storm knock power grid internet. An electrical engineer explains Mar 21, 2022 Probability catastrophic geomagnetic storm lower estimated Mar 12, 2019 Solar storm hit Earths magnetic field July 21 Jul 21, 2022 Recommended How space storms miscue train signals 29 minutes ago Cold stream molecular gas outside galaxy observed, confirming theories star formation 1 hour ago Earths anisotropic inner core structure driven dipole geomagnetic field, reveals study 3 hours ago Researchers predict large population ultradiffuse local galaxies 2 hours ago Researchers explore effects fully relativistic condition electron cyclotron maser emission 3 hours ago Scientists observe flattest explosion seen space 17 hours ago Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . For general inquiries, use contact form. For general feedback, use public comments section adhere guidelines. 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https://phys.org/news/2023-09-team-envisions-bright-future-machine.html | 2023-09-29T00:00:00 | en | Research team envisions a bright future with active machine learning in chemical engineering |
Research team envisions a bright future with active machine learning in chemical engineering
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Research team envisions a bright future with active machine learning in chemical engineering
by Engineering
Three different types of thresholds for the breakthrough of active machine learning (AML). Credit: Yannick Ureel et al.
Chemical engineering researchers have a powerful new tool at their disposal: active machine learning. In a recent perspective article published in Engineering, Kevin M. Van Geem's research team at Ghent University explores the potential of active machine learning in revolutionizing the field of chemical engineering. By combining machine learning with the design of experiments, active machine learning promises to enhance the efficiency and cost-effectiveness of research, spanning all length scales of chemical engineering.
Active machine learning algorithms offer greater flexibility and superior performance compared to traditional design of experiment algorithms. However, despite their potential, the applications of active machine learning in chemical engineering are still limited. The article identifies three key challenges hindering its widespread adoption: convincing experimental researchers, ensuring flexibility in data creation, and enhancing the robustness of active machine learning algorithms.
The survey conducted by Van Geem's team highlights the broad spectrum of active machine learning applications in chemical engineering. Nevertheless, the article emphasizes the need to popularize active machine learning among experimental researchers and overcome the existing barriers. To address these challenges, the article proposes collaborative efforts between machine learning experts and chemical engineers.
The collaboration would not only raise awareness about active machine learning but also facilitate the customization and optimization of algorithms based on specific experimental units and procedures.
Overcoming the barrier of suboptimal initial experimental selection, the integration of transfer learning and active learning with multi-fidelity models is suggested. Furthermore, the article emphasizes the importance of adapting general active machine learning algorithms to meet the constraints of different setups, thereby extending the application domain of active machine learning.
Active machine learning has the potential to revolutionize various aspects of chemical engineering research, from molecule and catalyst design to reaction and reactor design. However, to unlock its full potential, it is crucial to bridge the gap between machine learning experts and chemical engineers. By doing so, not only can active machine learning algorithms be fine-tuned, but also the performance of these algorithms can be improved.
The article concludes by highlighting the significance of harmonizing synthesizability and creativity in active machine learning. Promising breakthroughs in this field will enable chemical engineers to leverage active machine learning as an essential tool, facilitating autonomous and efficient scientific discoveries. Ultimately, this will contribute to a more sustainable chemical industry in the future.
Nan Zhang, editor of the subject of chemical, metallurgical, and materials engineering of Engineering, commented, "As active machine learning continues to mature, the future looks bright for chemical engineers. Increasing automation and the development of more efficient algorithms will pave the way for novel discoveries and advancements in the field. With better collaboration and wider adoption, active machine learning is poised to become a trusted asset in the chemical engineer's toolkit."
More information:
Yannick Ureel et al, Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!, Engineering (2023). DOI: 10.1016/j.eng.2023.02.019
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| Research team envisions a bright future with active machine learning in chemical engineering | Research team envisions bright future active machine learning chemical engineering 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 1 Twit Share Email Home Chemistry Analytical Chemistry Home Chemistry Materials Science September 29, 2023 Editors notes This article reviewed according ScienceXs editorial process policies. Editors highlighted following attributes ensuring contents credibility: factchecked proofread Research team envisions bright future active machine learning chemical engineering Engineering Three different types thresholds breakthrough active machine learning AML. Credit: Yannick Ureel et al. Chemical engineering researchers powerful new tool disposal: active machine learning. In recent perspective article published Engineering, Kevin M. Van Geems research team Ghent University explores potential active machine learning revolutionizing field chemical engineering. By combining machine learning design experiments, active machine learning promises enhance efficiency costeffectiveness research, spanning length scales chemical engineering. Active machine learning algorithms offer greater flexibility superior performance compared traditional design experiment algorithms. However, despite potential, applications active machine learning chemical engineering limited. The article identifies key challenges hindering widespread adoption: convincing experimental researchers, ensuring flexibility data creation, enhancing robustness active machine learning algorithms. The survey conducted Van Geems team highlights broad spectrum active machine learning applications chemical engineering. Nevertheless, article emphasizes need popularize active machine learning experimental researchers overcome existing barriers. To address challenges, article proposes collaborative efforts machine learning experts chemical engineers. The collaboration raise awareness active machine learning facilitate customization optimization algorithms based specific experimental units procedures. Overcoming barrier suboptimal initial experimental selection, integration transfer learning active learning multifidelity models suggested. Furthermore, article emphasizes importance adapting general active machine learning algorithms meet constraints different setups, extending application domain active machine learning. Active machine learning potential revolutionize aspects chemical engineering research, molecule catalyst design reaction reactor design. However, unlock potential, crucial bridge gap machine learning experts chemical engineers. By so, active machine learning algorithms finetuned, performance algorithms improved. The article concludes highlighting significance harmonizing synthesizability creativity active machine learning. Promising breakthroughs field enable chemical engineers leverage active machine learning essential tool, facilitating autonomous efficient scientific discoveries. Ultimately, contribute sustainable chemical industry future. Nan Zhang, editor subject chemical, metallurgical, materials engineering Engineering, commented, As active machine learning continues mature, future looks bright chemical engineers. reasing automation development efficient algorithms pave way novel discoveries advancements field. With better collaboration wider adoption, active machine learning poised trusted asset chemical engineers toolkit. More information: Yannick Ureel et al, Active Machine Learning Chemical Engineers: A Bright Future Lies Ahead, Engineering 2023. DOI: 10.1016j.eng.2023.02.019 Provided Engineering Citation: Research team envisions bright future active machine learning chemical engineering 2023, September 29 retrieved 29 September 2023 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. Explore Allowing machine learning ask questions smarter 1shares Facebook Twitter Email Feedback editors Featured Last Comments Popular A new highly precise measurement hypertriton lifetime 4 hours ago 0 Using cutting enzyme RNA repair enzyme modify RNA virus genomes 5 hours ago 0 Selfhealing synthetic diamonds observed room temperature 5 hours ago 0 The chilling tale snow flies, selfamputation, survival certain death 22 hours ago 0 Scientists develop 3Dprinted epifluidic electronic skin Sep 28, 2023 0 Ancient plant wax reveals global warming affects methane Arctic lakes 1 hour ago NASAs Perseverance captures dustfilled Martian whirlwind 2 hours ago Hermit scribblings eccentric French math genius unveiled 2 hours ago Ultrafast quantum simulation largescale quantum entanglement 2 hours ago New model describes synchronized cilia movement driven border regions 3 hours ago A search links universes spectacular phenomena come emptyfor 3 hours ago Newly engineered CRISPR enzyme editing DNA improve patient treatment 4 hours ago Redesigning hydrogels shine new light cell responses body 4 hours ago Machine learning helps predict drugs favorite subcellular haunts 4 hours ago Genome study reveals 30 years Darwins finch evolution 4 hours ago Related Stories Allowing machine learning ask questions smarter Jul 27, 2023 Identifying assessing frailty people diabetes priority, order better treat manage Nov 20, 2020 AI wise counsel synthetic biology Jul 8, 2022 What black box? A scientist explains means inner workings AIs hidden May 23, 2023 With transparent machine learning tool, engineers accelerate polymer discovery Jun 16, 2023 Shaping future machine learning active matter Feb 27, 2020 Recommended Machine learning helps predict drugs favorite subcellular haunts 4 hours ago Concave, umbrellalike metal complexes provide space giant molecular rotors operate solid state 5 hours ago Selfhealing synthetic diamonds observed room temperature 5 hours ago Watching paint dry, understand control patterns leaves Sep 28, 2023 Capturing carbon dioxide electricity: A microbial enzyme inspires electrochemistry Sep 28, 2023 More 20yearold assumption beer aroma disproved Sep 28, 2023 Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . For general inquiries, use contact form. For general feedback, use public comments section adhere guidelines. Please select appropriate category facilitate processing request select Compliments Critique Typos Errors Inaccuracies Edit Removal request Your message editors Your email want contacted Send Feedback Thank taking time provide feedback editors. Your feedback important us. However, guarantee individual replies high volume messages. Email story Research team envisions bright future active machine learning chemical engineering Your friends email Your email I like subscribe Science X Newsletter. Learn Your Note Your email address let recipient know sent email. Neither address recipients address purpose. The information enter appear email message retained form. Your message Send Newsletter sign Get weekly andor daily updates delivered inbox. You unsubscribe time share details parties. More information Privacy policy Donate enjoy adfree experience We content available everyone. Consider supporting ScienceXs mission getting premium account. Remove ads Maybe later Medical Xpress Medical research advances health news Tech Xplore The latest engineering, electronics technology advances ScienceX The comprehensive scitech news coverage web Newsletters Science X Daily Weekly Email Newsletter free features allow receive favorite scitech news updates email inbox Follow Top Home Mobile version Help FAQ About Science X Account Premium Account Archive News wire Android app iOS app RSS feeds Push notification 2003 2023 powered Science X Network Privacy policy Terms use Your Privacy This site uses cookies assist navigation, analyse use services, collect data ads personalisation provide content parties. By site, acknowledge read understand Terms Use. Ok options Email newsletter Follow | 2,023 | [
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News
Strange questions people have asked ChatGPT
by: Tamsen Fadal, Kori Chambers
Posted: May 10, 2023 / 08:37 PM EDT
Updated: May 10, 2023 / 08:37 PM EDT
by: Tamsen Fadal, Kori Chambers
Posted: May 10, 2023 / 08:37 PM EDT
Updated: May 10, 2023 / 08:37 PM EDT
SHARE
NEW YORK (PIX11) — Since the release of ChatGPT, an artificial intelligence chatbot, some people have asked it some pretty strange questions.
Study Finds asked ChatGPT what types of strange questions people have asked it. Here were some of the bizarre questions:
“Can you help me create a time machine?”
“I have a phobia of spaghetti. What can I do to overcome it?”
“How can I hack into someone’s computer without being detected?”
“I’m convinced that my neighbor’s cat is spying on me. What should I do?”
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https://pledgetimes.com/actors-vs-ai-whats-behind-the-first-global-strike-against-artificial-intelligence/ | 2023-07-19T00:00:00 | en | Actors vs. AI? What's behind the first global strike against artificial intelligence - Pledge Times |
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Actors vs. AI? What’s behind the first global strike against artificial intelligence
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admin_l6ma5gus
July 19, 2023
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Hollywood actors and screenwriters had not come together for a joint strike since 1960, when their unions declared, in both sectors, a 148-day strike between January and June.
But the great novelty of this strike decreed by 11,000 writers, who froze their activities at the beginning of May, and 160,000 actors who joined them a few days ago is the reason: Beyond specific demands regarding pay and job stability, the two unions want clear rules limiting the use of artificial intelligence (AI) in the production of films and television series.
Actors and writers are irritated that, quietly, production companies have started using AI to write part of the scripts, as well as generating voices –and even images– to replace the actors.
According to Andrew Susskind, a professor in the Department of Film and Television at Drexel University in Philadelphia who spent 30 years in the film industry, Actors and writers see AI as “an existential threat.”
And although the protest of the unionized scriptwriters in WGA had not scared the industry, that of the actors united in SAG-AFTRA has the barons of the sector worried.
(You can read: Colombian migration to the United States plummets: what’s behind it?)
American actress Miranda Cosgrove and American actor Nathan Kress join the actors’ union protests.
The actors’ strike jeopardizes the promotion of hundreds of feature films and series for television and streaming platforms such as Netflix and Amazon, a few weeks before the start of the great season of the year of premieres in movie theaters and on the small screen.
The SAG-AFTRA rules not only prohibit actors, in the event of a strike, from working on set, but also prevent them from participating in the promotion of works that are going to be exhibited, which means not attending premieres. nor festivals.
(You may be interested: Bukele talks about the capture of 105 Colombians in El Salvador by a ‘drop by drop’ network)
Today actors earn less and work less: why?
Although not all causes of movement originate from AI, almost without exception they point to the risks that the revolution implies for these jobs technological in film and television production.
In the old days, when the series were broadcast by traditional television networks, they had to cover a complete season that began with the premiere between July and September, had a break at Christmas and resumed in May to close before the summer holidays, when the audience was down.
Now everything is more ephemeral: if a series like Friends had 23 episodes each year, the current ones broadcast by Netflix and other platforms usually have between four and eight episodes, which it reduces the working hours of writers and actors, and therefore their income.
See also Finally, Haaland sets the date for his "self-determination"(In addition: They reveal “the macabre” warning that the Titan submarine made before going down)
The strike in Hollywood continues and Fran Drescher as president of SAG-AFTRA gives a speech to remember why we must continue fighting for labor rights. pic.twitter.com/Cl5Q0fobqm
– AJ+Spanish (@ajplusespanol) July 15, 2023
In addition, since there is so much competition and each platform takes only a part of the market, profit margins are slim and cost savings are the rule of thumb, which also affects payments, especially for those screenwriters and actors who are not consecrated stars (more than 99 percent).
The stars live like kings. But supporting actors, extras and extras, as well as filler comedy writers, work and earn less, which leads them, according to a statement from the actors’ union, “to face increasing difficulties in reaching and sustaining the standard of living of the working middle class.”
The actors also suffer from a change that arose in the covid-19 pandemic, and that led to the virtual disappearance of auditions for a role. Instead of going to a studio or theater to try on a role, the actors receive the script they must rehearse at home, and they have to record a selfie tape to send it to the producer.
(You can read: Protagonist of sex video in Guayaquil cable car breaks his silence due to scandal)
Among the requests of the actors are also better payments and job stability.
It’s very different from the past, when sitcoms and talk shows were staffed by brigades of full-time writers.
The tape must comply with technical quality standards, and applicants for the role have to pay those costs out of pocket, something that previously corresponded to the casting of the production.
The scriptwriters, in turn, are at war against the so-called mini-rooms, small cores of writers who work full-time for a production company, while an army of scriptwriters from outside the company receive piecework assignments and charge only a few hours to week.
“It is very different –WGA explains– from the past, when comedy shows and interviews had brigades of full-time writers, who collectively created jokes and scripts, which guaranteed the quality of the product, as well as the job stability of the scriptwriters”.
(In other news: Find out which is the largest country in the Caribbean, according to a marketing study report)
Why will AI affect the work of actors?
Although all these points have to do with reducing costs due to the stiff competition between traditional television, cable networks and streaming platforms, it is clear that the competitive demand is the result of the technological revolution, which has implied a dramatic division of the audience.
See also The European Union condemns the "disgusting" attacks on civilians in UkraineBut the technological threat that scares unions the most is AI. Although the writers believe that this tool has not yet reached the development necessary to produce quality scripts, as Professor Susskind explains, “They know that once AI can be used, it will replace them.”
Justine Bateman, 57, became known for her role as Michael J. Fox’s frivolous sister in the 1980s series Family Ties. Over time, she became a writer, director, and producer, as well as a keen industry analyst.
Hollywood Actors On Regulating Artificial Intelligence:“They propose that the extras can be scanned, receive payment for a single day and be able to use the image for the rest of eternity without consent and without compensation” pic.twitter.com/0kFqUeTDcY
— Mauro Albornoz (@Mau_Albornoz) July 14, 2023
In a recent article in Newsweek magazine, Bateman described the specific threats against acting work because of the AI, which is already capable of scanning and copying the voice and image of an actor, and putting that clone to participate in a play.
“This scanning is already in practice –explains Bateman–, because in fact some acting agencies are actively recruiting their clients to be scanned”, to later use that voice and that image in various productions. “Of course,” he adds, “whoever hires that image is not getting the actor, but a copy.”
It won’t be long, Bateman predicts, before the image of an actor, digitized by AI, is used for a made-to-order film and to the extent of a determined viewer willing to pay for it.
(Also read: X-ray: What is the profile of Colombians living in the United States today?)
Some acting agencies are actively recruiting their clients to be scanned
The customer may say, “I want a movie about a panda bear and a unicorn saving the world in a rocket and starring Bill Murray.” What’s more, if the client wants to go further, he can request that his image and his voice be scanned and included in the film as part of the cast.
The biggest nightmare for actors and screenwriters, which does not seem far away, is that AI produces new seasons of current or past series. Family Ties ran for 167 episodes over seven seasons, and an AI program could, with some ease, be trained to create an eighth season without calling on writers or actors.
Protests near the Barbie studios.
It is very likely that for those generations who watched series like that in the 80s, a new AI-generated season would be artificial and unappealing. But for the new generations, raised in the world of TikTok and Instagram filters, the border between the artificial and the real has been blurred.
See also Environment - They use artificial intelligence to study global warming from AntarcticaThe public is increasingly prepared to watch movies and series generated almost entirely by AI. Hence the need for unions to set time limits.
As Bateman says: “If we don’t build strong rules now, in three years they won’t even know if we strike, because then they won’t need us.”
(You may be interested: Controversy in Florida by young people who caught a gigantic python: “we were going to donate it”)
Other professions that feel threatened by AI
The negotiations between the two large unions and the production companies have been intensely debated for several weeks. The employers seem willing to give in on issues of wages and stability, but are very inflexible on AI issues.
The companies’ argument is that it is not possible to set rules when it is not yet clear how far the evolution of AI will go, and at a time when the only clear thing is that the traditional production industry is experiencing serious problems.
Movie ticket sales reached $7.9 billion globally in 2019. After the fall due to the pandemic, the recovery has been slow, and projections indicate that in 2027 alone sales will exceed 7,000 million dollars.
Screen Actors Guild members outside Netflix in Los Angeles, California.
Pundits talk about “a slowly dying business,” and not just in theaters, but on cable, too. US households connected to cable went from 100 million in 2015 to 64 million in 2022.
Platforms like Netflix are taking a large part of the market and, for this reason, they impose their rules on production companies. Rules that point to a reduction in profit margins, since competition between dozens of platforms –a few years ago there was only Netflix– is today ruthless.
The phenomenon that this industry is experiencing is not exceptional. As some fear one day with acting, there are already famous figures created entirely by AI in modeling.
(Keep reading: The secrets that “Pollo” Carvajal has and that interest the United States)
The experts also predict the elimination of jobs in the world of lawyers, journalism, advertising, translators, tax advisors, accountants and auditors, blockchain engineers, meteorologists and dozens of other disciplines who are already feeling the job shock caused by artificial intelligence and will experience it from now on.
So while it’s unclear how the Hollywood actors’ and writers’ strike will end, it’s easy to see that it will be the first to result from the threat of artificial intelligence.
MAURICIO VARGASWEATHER ANALYST[email protected]
#Actors #Whats #global #strike #artificial #intelligence
Tags: actorsArtificial intelligencescriptwritersstrike in hollywoodUnemployment
admin_l6ma5gus
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| Actors vs. AI? What's behind the first global strike against artificial intelligence | Actors vs. AI? Whats global strike artificial intelligence Pledge Times Disclaimer Pledge Times T C Us Wednesday, July 19, 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 Actors vs. AI? Whats global strike artificial intelligence admin_l6ma5gus July 19, 2023 World 0 Hollywood actors screenwriters come joint strike 1960, unions declared, sectors, 148day strike January June. But great novelty strike decreed 11,000 writers, froze activities beginning May, 160,000 actors joined days ago reason: Beyond specific demands pay job stability, unions want clear rules limiting use artificial intelligence AI production films television series. Actors writers irritated that, quietly, production companies started AI write scripts, generating voices images replace actors. According Andrew Susskind, professor Department Film Television Drexel University Philadelphia spent 30 years film industry, Actors writers AI existential threat. And protest unionized scriptwriters WGA scared industry, actors united SAGAFTRA barons sector worried. You read: Colombian migration United States plummets: whats it? American actress Miranda Cosgrove American actor Nathan Kress join actors union protests. The actors strike jeopardizes promotion hundreds feature films series television streaming platforms Netflix Amazon, weeks start great season year premieres movie theaters small screen. The SAGAFTRA rules prohibit actors, event strike, working set, prevent participating promotion works going exhibited, means attending premieres. festivals. You interested: Bukele talks capture 105 Colombians El Salvador drop drop network Today actors earn work less: why? Although causes movement originate AI, exception point risks revolution implies jobs technological film television production. In old days, series broadcast traditional television networks, cover complete season began premiere July September, break Christmas resumed May close summer holidays, audience down. Now ephemeral: series like Friends 23 episodes year, current ones broadcast Netflix platforms usually episodes, reduces working hours writers actors, income. See Finally, Haaland sets date selfdeterminationIn addition: They reveal macabre warning Titan submarine going The strike Hollywood continues Fran Drescher president SAGAFTRA gives speech remember continue fighting labor rights. pic.Cl5Q0fobqm AJSpanish July 15, 2023 In addition, competition platform takes market, profit margins slim cost savings rule thumb, affects payments, especially screenwriters actors consecrated stars 99 percent. The stars live like kings. But supporting actors, extras extras, filler comedy writers, work earn less, leads them, according statement actors union, face increasing difficulties reaching sustaining standard living working middle class. The actors suffer change arose covid19 pandemic, led virtual disappearance auditions role. Instead going studio theater try role, actors receive script rehearse home, record selfie tape send producer. You read: Protagonist sex video Guayaquil cable car breaks silence scandal Among requests actors better payments job stability. Its different past, sitcoms talk shows staffed brigades fulltime writers. The tape comply technical quality standards, applicants role pay costs pocket, previously corresponded casting production. The scriptwriters, turn, war socalled minirooms, small cores writers work fulltime production company, army scriptwriters outside company receive piecework assignments charge hours week. It different WGA explains past, comedy shows interviews brigades fulltime writers, collectively created jokes scripts, guaranteed quality product, job stability scriptwriters. In news: Find largest country Caribbean, according marketing study report Why AI affect work actors? Although points reducing costs stiff competition traditional television, cable networks streaming platforms, clear competitive demand result technological revolution, implied dramatic division audience. See The European Union condemns disgusting attacks civilians UkraineBut technological threat scares unions AI. Although writers believe tool reached development necessary produce quality scripts, Professor Susskind explains, They know AI used, replace them. Justine Bateman, 57, known role Michael J. Foxs frivolous sister 1980s series Family Ties. Over time, writer, director, producer, keen industry analyst. Hollywood Actors On Regulating Artificial Intelligence:They propose extras scanned, receive payment single day able use image rest eternity consent compensation pic.0kFqUeTDcY Mauro Albornoz July 14, 2023 In recent article Newsweek magazine, Bateman described specific threats acting work AI, capable scanning copying voice image actor, putting clone participate play. This scanning practice explains Bateman, fact acting agencies actively recruiting clients scanned, later use voice image productions. Of course, adds, hires image getting actor, copy. It wont long, Bateman predicts, image actor, digitized AI, madetoorder film extent determined viewer willing pay it. Also read: Xray: What profile Colombians living United States today? Some acting agencies actively recruiting clients scanned The customer say, I want movie panda bear unicorn saving world rocket starring Bill Murray. Whats more, client wants further, request image voice scanned included film cast. The biggest nightmare actors screenwriters, far away, AI produces new seasons current past series. Family Ties ran 167 episodes seven seasons, AI program could, ease, trained create eighth season calling writers actors. Protests near Barbie studios. It likely generations watched series like 80s, new AIgenerated season artificial unappealing. But new generations, raised world TikTok Instagram filters, border artificial real blurred. See Environment They use artificial intelligence study global warming AntarcticaThe public increasingly prepared watch movies series generated entirely AI. Hence need unions set time limits. As Bateman says: If dont build strong rules now, years wont know strike, wont need us. You interested: Controversy Florida young people caught gigantic python: going donate Other professions feel threatened AI The negotiations large unions production companies intensely debated weeks. The employers willing issues wages stability, inflexible AI issues. The companies argument possible set rules clear far evolution AI go, time clear thing traditional production industry experiencing problems. Movie ticket sales reached 7.9 billion globally 2019. After fall pandemic, recovery slow, projections indicate 2027 sales exceed 7,000 million dollars. Screen Actors Guild members outside Netflix Los Angeles, California. Pundits talk slowly dying business, theaters, cable, too. US households connected cable went 100 million 2015 64 million 2022. Platforms like Netflix taking large market and, reason, impose rules production companies. Rules point reduction profit margins, competition dozens platforms years ago Netflix today ruthless. The phenomenon industry experiencing exceptional. As fear day acting, famous figures created entirely AI modeling. Keep reading: The secrets Pollo Carvajal United States The experts predict elimination jobs world lawyers, journalism, advertising, translators, tax advisors, accountants auditors, blockchain engineers, meteorologists dozens disciplines feeling job shock caused artificial intelligence experience on. So unclear Hollywood actors writers strike end, easy result threat artificial intelligence. MAURICIO VARGASWEATHER ANALYST[emailprotected] Actors Whats global strike artificial intelligence Tags: actorsArtificial intelligencescriptwritersstrike hollywoodUnemployment admin_l6ma5gus Related Posts Paula Gordaliza, mathematician: Algorithms work alone. Whoever uses knows decisions admin_l6ma5gus July 19, 2023 0 Paula Gordaliza Valladolid, 29 years old uses mathematics try society little fairer. The young researcher, winner... Chinese chatbot ranked Russian army strongest world admin_l6ma5gus July 19, 2023 0 The Chinese chat bot ERNIE Bot named powerful armies world, including RussianChinese chatbot ERNIE Bot... In face crisis technology companies, workers bet climate startups admin_l6ma5gus July 19, 2023 0 When Arebeth Pease fired tech startup MasterClass year, bevy job prospects. But the... Antiaircraft crews Southern Military District tactics chariot near Avdiivka admin_l6ma5gus July 19, 2023 0 The antiaircraft crews Southern Group Forces Avdeevka direction use tactics chariot of... Missing 6yearold girl alive admin_l6ma5gus July 19, 2023 0 Sixyearold girl taken playground Shakhty stranger aliveA sixyearold girl disappeared... Guterres warns dangers artificial intelligence: malicious uses cause horrific levels destruction admin_l6ma5gus July 19, 2023 0 It clear artificial intelligence impact aspects life, Guterres said session... Next Post This Adela Noriega looks like, actress mysteriously disappeared television Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended Kehlmann Langgsser: In realm toads 1 year ago Mercedes GLC, range Italian market FormulaPassion.it 12 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 | 2,023 | [
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https://pledgetimes.com/artificial-intelligence-can-reduce-stroke-sequelae-in-the-uk/ | 2022-12-29T00:00:00 | en | Artificial intelligence can reduce stroke sequelae in the UK - Pledge Times |
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World Europe
Artificial intelligence can reduce stroke sequelae in the UK
by
admin_l6ma5gus
December 29, 2022
in
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Its use, in 111,000 suspected stroke cases, increased the rate of patients with no or mild disability from 16% to 48%. (Credit: Reproduction/Pixabay)
The number of patients who have few or no sequelae after a stroke (CVA) has been multiplied by three in the United Kingdom, thanks to artificial intelligence (AI), announced the British Ministry of Health.
Developed by a company based in Oxford, the Brainomix e-Stroke system reduces the diagnosis by more than an hour and allows you to quickly choose the most appropriate treatment.
+ Understand the difference between stroke and TIA, attack suffered by Renato Aragão
Its use, in 111,000 suspected stroke cases, increased the rate of patients with no or mild disability from 16% to 48%.AI provides decision-making support in the interpretation of brain scans, to allow the patient “to have the right treatment, in the right place, at the right time”, underlined the British ministry.
Over 85,000 people in England have a stroke each year.
See also 'Influencers': exploited or exploiters?The Ministry of Health cites the example of Carol Wilson, a teaching assistant and grandmother, who, in June 2021, had severe cramps and quickly lost her sight and the use of her limbs.
The ‘software’ made it possible to quickly diagnose a blood clot in the brain and opt for a thrombectomy.
“I was able to sit up and text my family the same day, come home and walk again about two days after having a stroke,” said the Brit.
Timothy Ferris, Director of Transformation for the Public Health System (NHS), underlined that “every minute saved during the initial hospital assessment of people with stroke symptoms dramatically increases the chances of a patient leaving hospital healthy”.
#Artificial #intelligence #reduce #stroke #sequelae
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| Artificial intelligence can reduce stroke sequelae in the UK | Artificial intelligence reduce stroke sequelae UK Pledge Times Disclaimer Pledge Times T C Write To Us Thursday, December 29, 2022 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 Europe Artificial intelligence reduce stroke sequelae UK admin_l6ma5gus December 29, 2022 World Europe 0 Its use, 111,000 suspected stroke cases, increased rate patients mild disability 16 48. Credit: ReproductionPixabay The number patients sequelae stroke CVA multiplied United Kingdom, thanks artificial intelligence AI, announced British Ministry Health. Developed company based Oxford, Brainomix eStroke reduces diagnosis hour allows quickly choose appropriate treatment. Understand difference stroke TIA, attack suffered Renato Arago Its use, 111,000 suspected stroke cases, increased rate patients mild disability 16 48.AI provides decisionmaking support interpretation brain scans, allow patient right treatment, right place, right time, underlined British ministry. Over 85,000 people England stroke year. See Influencers: exploited exploiters?The Ministry Health cites example Carol Wilson, teaching assistant grandmother, who, June 2021, severe cramps quickly lost sight use limbs. The software possible quickly diagnose blood clot brain opt thrombectomy. I able sit text family day, come home walk days stroke, said Brit. Timothy Ferris, Director Transformation Public Health System NHS, underlined minute saved initial hospital assessment people stroke symptoms dramatically increases chances patient leaving hospital healthy. Artificial intelligence reduce stroke sequelae admin_l6ma5gus Related Posts HS Espoo A sight like fantasy book: fairytale rainbow shines darkness churchyard Espoo admin_l6ma5gus December 29, 2022 0 The light artwork delight passing Espoos Kirkkopuisto week. The Rainbow River piece designed by... Janja records video festival stage invites inauguration admin_l6ma5gus December 29, 2022 0 The inauguration presidentelect, Luiz Inacio Lula da Silva PT, deputy, Geraldo Alckmin PSB, held... Board games Finland experiencing gigantic board game boom years, soon longawaited domestic game case appear admin_l6ma5gus December 29, 2022 0 Finland ahead Sweden, alive board game addiction, results awaited terms of... This change January 1, 2023 admin_l6ma5gus December 29, 2022 0 With effect new year new laws regulations force. Put article NRC a... Oil company finds taxing extra 2022 profit common. admin_l6ma5gus December 29, 2022 0 The EU taxes companies lot profit high oil gas prices, is... Cars The passenger car caught driving driver passenger managed admin_l6ma5gus December 29, 2022 0 The Satakunta rescue service alerted car late Wednesday evening.Sedan caught driving Poris... Next Post AGU CGU enter leniency agreements totaling BRL 670 million Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended Peugeot 408 First Edition, Italy soldout FormulaPassion.it 3 months ago The Last Us Part 1: easter egg anticipates Naughty Dogs new fantasy IP? 4 months ago Popular News Disclaimer Pledge Times T C Write To Us Email us: [emailprotected] No Result View All Result World Business Science Entertainment Gaming Movie Music Sports Fashion Lifestyle Tech Health | 2,022 | [
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https://pledgetimes.com/new-podcast-how-ai-will-make-trains-more-punctual-in-the-future/ | 2021-04-06T00:00:00 | en | New podcast: How AI will make trains more punctual in the future – Pledge Times |
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New podcast: How AI will make trains more punctual in the future
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“Artificial intelligence makes a huge contribution to the mobility transition,” says Sabina Jeschke, who is responsible for digitization and technology on the board of Deutsche Bahn. Thanks to AI, trains can run at shorter intervals and turnouts can report a malfunction in advance. It will be really exciting when the next generation of mobile communications 5G and quantum computing raise the speed of data processing into a new dimension.
The episode is part of our new podcast “Artificial Intelligence”. He explores the questions of what AI can do, where it is used, what has already changed and what contribution it can make in the future. For the podcast, the FAZ has brought two recognized AI experts on board: Peter Buxmann and Holger Schmidt: Both research and teach the potential of AI and its effects on business and work at the Technical University of Darmstadt. Peter Buxmann holds the chair for business informatics and has been dealing with the applications of AI, digital transformation and data-based business models for many years. His podcast partner Holger Schmidt is a digital economist, speaker and author. His core topics are AI, platform economy and digital business models.
The two hosts pick out a new aspect in each episode, explain connections and give precise classifications. The episodes are around thirty minutes long and appear on the first Monday of each month.
You can find all of our podcast offers here.
Do you have any questions or comments about the podcast? Then please contact [email protected]
Michael Spehr
Published / Updated:
,
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#podcast #trains #punctual #future
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| New podcast: How AI will make trains more punctual in the future | New podcast: How AI trains punctual future Pledge Times Disclaimer Pledge Times T C Write To Us Tuesday, April 6, 2021 No Result View All Result PledgeTimes World Business Entertainment Gaming Health Lifestyle Science Sports Tech World Business Entertainment Gaming Health Lifestyle Science Sports Tech No Result View All Result PledgeTimes No Result View All Result Home World New podcast: How AI trains punctual future admin April 6, 2021 World 0 Artificial intelligence makes huge contribution mobility transition, says Sabina Jeschke, responsible digitization technology board Deutsche Bahn. Thanks AI, trains run shorter intervals turnouts report malfunction advance. It exciting generation mobile communications 5G quantum computing raise speed data processing new dimension. The episode new podcast Artificial Intelligence. He explores questions AI do, used, changed contribution future. For podcast, FAZ brought recognized AI experts board: Peter Buxmann Holger Schmidt: Both research teach potential AI effects business work Technical University Darmstadt. Peter Buxmann holds chair business informatics dealing applications AI, digital transformation databased business models years. His podcast partner Holger Schmidt digital economist, speaker author. His core topics AI, platform economy digital business models. The hosts pick new aspect episode, explain connections precise classifications. The episodes thirty minutes long appear Monday month. You podcast offers here. Do questions comments podcast? Then contact [emailprotected] Michael Spehr Published Updated: , Recommendations: 2 Published Updated: Recommendations: 106 Thorsten Winter Published Updated: Recommendations: 25th . podcast trains punctual future Tags: Artificial intelligenceDeutsche BahnSabina Jeschke admin Next Post Pedro Sanchez told produce urgent mobility plan boost Benidorm Costa Blanca tourist numbers Spain Olive Press News Spain Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended The Ministry Transport announced beginning testing unmanned vehicles Russian Federation 2021 3 weeks ago Madrid interested buying Russian vaccine, Sputnik V 1 hour ago Popular News Connect Disclaimer Pledge Times T C Write To Us Call us: 1 234 JEG THEME No Result View All Result Home World Business Science Entertainment Gaming Sports Lifestyle Tech Health 2021 JNews Premium WordPress news magazine theme Jegtheme. | 2,021 | [
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https://pledgetimes.com/openai-ceo-launches-cryptocurrency-project/ | 2023-07-25T00:00:00 | en | OpenAI CEO Launches Cryptocurrency Project - Pledge Times |
OpenAI CEO Launches Cryptocurrency Project - Pledge Times
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OpenAI CEO Launches Cryptocurrency Project
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July 25, 2023
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AFPi AFP https://istoedinheiro.com.br/autor/afp/
07/24/2023 – 23:47
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The CEO of the artificial intelligence start-up OpenAI, Sam Altman, officially launched, this Monday, the Worldcoin cryptocurrency project, equipped with an identity verification system based on the human iris.
“More than three years ago, we announced Worldcoin with the ambition to create a new identity and a financial network that belongs to everyone. It starts today,” Worldcoin Foundation co-founders Altman and Alex Blania announced on the company’s website.
The new coin comes as the cryptocurrency industry’s reputation suffers from the collapse of FTX and the crash of other major platforms. Worldcoin is based on the “World ID”, a kind of digital passport that allows the owner to prove his identity electronically without sharing personal data, according to the entrepreneurs.
To obtain this asset, the user must undergo an iris scan using the “orb” biometric device, developed by Worldcoin. The aim is to reduce the risk of fraud in an industry where the use of pseudonyms is common.
The user is invited to download the WorldApp, a digital wallet that allows, from today, to receive the “Worldcoin token”, a cryptocurrency that can now be used by millions of subscribers who participated in the beta version of the platform. “If successful, we believe that Worldcoin could dramatically increase economic opportunity and create a credible solution to distinguish humans from artificial intelligence (AI) while preserving data confidentiality,” Altman and Blania wrote in a letter published on Twitter, now X.
See also Sanctions Counter-sanctions imposed by Russia will not overthrow the Finnish forest and energy industryThe company seeks to pave the way for a universal minimum income based on AI, according to the text. This income is part of the solutions considered by several Silicon Valley names in the face of the risk of many jobs being replaced by AI programs.
Worldcoin invested three years in the development of the project, and 2 million people signed up for a “World ID” in the testing phase.
The company said on its website that it will make 1,500 orbs available worldwide, to allow millions of new users to sign up. Worldcoin is not available in the United States at this stage as authorities try to improve regulation of the industry.
#OpenAI #CEO #Launches #Cryptocurrency #Project
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| OpenAI CEO Launches Cryptocurrency Project | OpenAI CEO Launches Cryptocurrency Project Pledge Times Disclaimer Pledge Times T C Us Tuesday, July 25, 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 Europe OpenAI CEO Launches Cryptocurrency Project admin_l6ma5gus July 25, 2023 World Europe 0 AFPi AFP 07242023 23:47 Share The CEO artificial intelligence startup OpenAI, Sam Altman, officially launched, Monday, Worldcoin cryptocurrency project, equipped identity verification based human iris. More years ago, announced Worldcoin ambition create new identity financial network belongs everyone. It starts today, Worldcoin Foundation cofounders Altman Alex Blania announced companys website. The new coin comes cryptocurrency industrys reputation suffers collapse FTX crash major platforms. Worldcoin based World ID, kind digital passport allows owner prove identity electronically sharing personal data, according entrepreneurs. To obtain asset, user undergo iris scan orb biometric device, developed Worldcoin. The aim reduce risk fraud industry use pseudonyms common. The user invited download WorldApp, digital wallet allows, today, receive Worldcoin token, cryptocurrency millions subscribers participated beta version platform. If successful, believe Worldcoin dramatically increase economic opportunity create credible solution distinguish humans artificial intelligence AI preserving data confidentiality, Altman Blania wrote letter published Twitter, X. See Sanctions Countersanctions imposed Russia overthrow Finnish forest energy industryThe company seeks pave way universal minimum income based AI, according text. This income solutions considered Silicon Valley names face risk jobs replaced AI programs. Worldcoin invested years development project, 2 million people signed World ID testing phase. The company said website 1,500 orbs available worldwide, allow millions new users sign up. Worldcoin available United States stage authorities try improve regulation industry. OpenAI CEO Launches Cryptocurrency Project admin_l6ma5gus Related Posts Sniping In company Coastal Brigade, culture swindling took root Its thought normal admin_l6ma5gus July 25, 2023 0 The view management coastal brigade events related shelling commotion differs the... Still loophole risk assessment glyphosate Co. admin_l6ma5gus July 25, 2023 0 Home politicsCreated: 07252023, 06:00 a.mSplitA farmer sprays pesticides rapeseed field symbolic image Sylvio DittrichImagoAre decisions of... Power outages, curfews, planes land, holidaymakers leaving admin_l6ma5gus July 25, 2023 0 Home WorldCreated: 07252023, 5:30 amFrom: Richard StroblSplitA fisherman Italy protects sun umbrella. Iconic image... Dead The cause death actor Julian Sands remains undetermined admin_l6ma5gus July 25, 2023 0 Sands, 65, disappeared January hiking mountain Southern California. In June, human remains near... Ukraine News: Zaporizhia nuclear power plant site partially mined admin_l6ma5gus July 25, 2023 0 Home politicsCreated: 07252023, 05:10 amFrom: Stephen KriegerSplitThe UN nuclear regulator discovers antipersonnel mines site Zaporizhia nuclear... Marielle case Lulas priority determination, says Dino admin_l6ma5gus July 25, 2023 0 Minister Justice says sure person ordered murder criminal... Next Post Doctors dispelled popular myth coffee Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended Tragedy Brazil: teenager kills teacher injures 4 people 4 months ago The CrimeaCongo virus tick moves northern Spain Europe climate change 2 years 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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https://pledgetimes.com/what-professions-will-artificial-intelligence-fill/ | 2023-03-30T00:00:00 | en | What professions will Artificial Intelligence fill? - Pledge Times |
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What professions will Artificial Intelligence fill?
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admin_l6ma5gus
March 29, 2023
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NY.- Accountants are among the professionals whose careers are most exposed to the capabilities of generative artificial intelligence (AI), finds a new study. Researchers found that at least half of accounting tasks could be done much faster with technology, The Wall Street Journal reported.
The same was true for mathematicians, interpreters, writers and nearly 20% of the US workforce, revealed the study by researchers at the University of Pennsylvania and OpenAI, the company that makes ChatGPT, the popular artificial intelligence tool.
The tool has sparked excitement and anxiety in businesses, schools, governments, and the general public over its ability to process massive amounts of information and generate sophisticated — though not necessarily accurate or unbiased — content in response to user input.
The researchers, who posted their working paper online this month, examined occupations’ exposure to the new technology, which is powered by software called large language models that can analyze and generate text. They looked at the proportion of job tasks in which GPTs—generative pretrained transformers—and the software that incorporates them can reduce the time it takes to complete a task by at least 50%. Research has found that state-of-the-art GPTs excel at tasks like translation, classification, creative writing, and computational code generation.
See also Franco Escamilla shows his face after criticism for giving misogynistic advice to womenThey found that GPTs will change most jobs in some way, with 80% of workers in occupations where at least one job task can be accomplished more quickly using generative AI. They found that information processing roles—including public relations specialists, court reporters, and blockchain engineers—are highly exposed. Jobs that will be least affected by technology include fast food cooks, motorcycle mechanics, and oil and gas day laborers.
To reach their conclusions, the authors used a government database of occupations and their associated activities and tasks, and had both people and artificial intelligence models assign exposure levels to activities and tasks.
The researchers did not predict whether jobs will be lost or who will lose their jobs, said Matt Beane, an assistant professor at the University of California, Santa Barbara, who studies the impact of technology on the job market and was not involved in the study.
“Exposure doesn’t predict anything in terms of what will change and how fast it will change,” he said. “Human beings reject changes that compromise their interests” and the process of implementing new technologies is often fraught with negotiation, resistance, “terror and hope,” she said.
The real challenge, Beane said, is for businesses, schools and lawmakers to help people adjust. “That’s a multi-billion dollar problem,” he said, and may include, among other things, training workers to collaborate effectively with technology and redesigning jobs to improve autonomy, wages and career prospects for many roles. .
See also Starlink will seek permission to operate in Iran: Elon MuskSome people have already started using generative AI to work faster, although many employers are concerned about security and accuracy.
Michael Quash, a 32-year-old broadcast engineer from Richmond, Virginia, said he has found greater efficiency when using ChatGPT for monotonous tasks or solving complex coding problems. “ChatGPT can be a force multiplier,” he asserted.
Audacy Inc., its employer, said it is allowing employees to experiment with the tool. “Like many media companies, we believe that ChatGPT has value for certain processes,” said Sarah Foss, Audacy’s CTO.
Other recent studies have also found that generative AI can save a significant amount of time and produce better results than humans. In an experiment conducted by the Massachusetts Institute of Technology (MIT) focused on college-educated people, researchers divided 444 grant application writers, marketing specialists, consultants, human resource professionals and other workers in half. Both groups were asked to complete short written tasks, and one group was able to use ChatGPT to do so.
Those who had access to ChatGPT completed their tasks 10 minutes faster. And outside readers who rated the quality of these tasks noted that the AI-assisted workers performed better than the other group, according to the study, which was published in March and has not been peer-reviewed.
See also They execute a prisoner in the United States despite having a mental illnessAnother paper published last week by researchers at Microsoft Corp., which is investing billions of dollars in OpenAI, looked at the capabilities of GPT-4, the latest version of the OpenAI tool, and found that it could solve “new tasks and difficult” with “human-level performance” in fields like math, coding, medicine, law, and psychology.
Amanda Richardson, CEO of technical interview platform CoderPad, has used ChatGPT to write slides when giving presentations in her field. The tool creates a basic outline and from there it traces specific details to make a more engaging presentation, she said.
CoderPad’s clients are businesses looking to hire. They ask candidates to demonstrate their technical skills using CoderPad, and Richardson has recommended that clients explicitly make ChatGPT part of their interview process: Ask candidates to use ChatGPT to solve a problem, then ask them to critique the response it returns . Does the code have any security vulnerabilities? Is it scalable? What is good or bad?
“There is an inclination to embrace developer efficiency,” he noted.
#professions #Artificial #Intelligence #fill
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| What professions will Artificial Intelligence fill? | What professions Artificial Intelligence fill? Pledge Times Disclaimer Pledge Times T C Us Thursday, March 30, 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 What professions Artificial Intelligence fill? admin_l6ma5gus March 29, 2023 Tech 0 NY. Accountants professionals careers exposed capabilities generative artificial intelligence AI, finds new study. Researchers half accounting tasks faster technology, The Wall Street Journal reported. The true mathematicians, interpreters, writers nearly 20 US workforce, revealed study researchers University Pennsylvania OpenAI, company makes ChatGPT, popular artificial intelligence tool. 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Jobs affected technology include fast food cooks, motorcycle mechanics, oil gas day laborers. To reach conclusions, authors government database occupations associated activities tasks, people artificial intelligence models assign exposure levels activities tasks. The researchers predict jobs lost lose jobs, said Matt Beane, assistant professor University California, Santa Barbara, studies impact technology job market involved study. Exposure doesnt predict terms change fast change, said. Human beings reject changes compromise interests process implementing new technologies fraught negotiation, resistance, terror hope, said. The real challenge, Beane said, businesses, schools lawmakers help people adjust. Thats multibillion dollar problem, said, include, things, training workers collaborate effectively technology redesigning jobs improve autonomy, wages career prospects roles. . 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https://pledgetimes.com/will-ai-eclipse-humans-or-can-we-work-together-safely-and-fairly/ | 2023-07-14T00:00:00 | en | Will AI eclipse humans, or can we work together safely and fairly? - Pledge Times |
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Will AI eclipse humans, or can we work together safely and fairly?
by
admin_l6ma5gus
July 14, 2023
in
Health
0
Of Elena Giovanna Bignami
The scientific journal Science dedicates a monograph to the hottest topic of the moment. Many questions but no answers. Just a contribution to better understand
There have been tremendous advances in the development and application of Artificial Intelligence (AI) to science and society. But will AI eclipse humans, or will we find a way to collaborate safely and fairly, allowing us to go further?
To these and other questions it tries to give not answers but contributions to help us better understand the special issue that Science wanted to dedicate to the hottest topic of the moment. Some authors in various scientific articles and in different fields underline the progress of new technologies and in particular of Artificial Intelligence (AI) evaluating its field of application, the possible diffusion and also technical, legal and ethical problems
.
Racial variables
Some studies have shown that AI models can infer racial variables, albeit in broad and simple categories, directly from medical images (such as chest x-rays and cardiac ultrasounds), despite no known specific racial correlations in clinical diagnostic images.
See also New Year's Eve: "good" resolutions that are actually bad for your health
James Zou and colleagues state that “AI’s ability to predict racial variables from medical images could be useful for monitoring health disparities and ensure that the algorithms perform well in different populations.” Matthew DeCamp and Charlotta Lindvall point out how assessing variables that use AI in health care has tended to remove bias from datasets, analyzes or in AI development teams. However, to reduce or eliminate bias in AI you need to remove the sel variablesection
And
in the numbers fed to AI algorithms.
Machine learning to decipher how animals communicate
In another study, Rutz and collaborators state that Machine Learning-ML (a branch of AI) could be used to decipher animal communication systems with consequent potential benefits in animal welfare.
Controlled game systems
In the fourth contribution, attention is placed on how AI can further investigate its application in controlled gaming systems
to improve the capabilities of «Problem Solving», which can then be applied in the real world with subsequent benefit, i.e. as a primordial simulation.
Generative AI and copyright
During a comparison of the use of «generative AI»
Pamela Samuelson underlines how there may be substantial variations in the future in the dissemination and therefore in the use of AI following various legal actions by artists c
orrelated to copyright due to the ever-increasing development and diffusion of this type of AI, such as the application that generates videos, images, audios and texts.
See also Sma, a stop in Turin for 'SMAnia di sport' with expert advice
Economic inequalities
Some economics scholars also argue that AI systems can increase inequalities between people in this field. Ajay Agrawal and collaborators, on the other hand, draw attention to the consequences ofapplication of AI in the labor market assuming a reduction of the ever growing gap between the different social and economic conditions of different citizens. In fact, they think that through the creation of codified and easy-to-use models, too less skilled workers could start carrying out activities that previously required specialized trainingand therefore not easily accessible to everyone.
The role in the field of infectious diseases
In a review, Wong underlines how AI and ML have given a significant boost to research
in the field of infectious diseases, leading to an ever more complete and profound understanding of the pathological mechanisms of infections and thus the development of new drugs.
Chemicals management
Bing Huang, on the other hand, focuses on the crucial role that ML could play as software that can routinely handle exotic chemicals and formulations within laboratories with relative autonomycalling it the “functional theory of fate” – fundamental in chemical and materials science due to its relatively high predictive power.
See also Ten false myths (and just as many truths) about skin cancer. Diagnosis, therapies
Robots in medicine
Also, there are different interpretations of using AI for
sophisticated robots in the medical field, which could carry out precise and real-time diagnostic images and therefore assist clinicians during surgical interventions.
Prosthesis and rehabilitation
Finally, the use of AI in the prosthetic-rehabilitative field it could generate more and more advanced devices so as to create personalized medicine and assistanceup to AI-based prostheses that work uniformly with humans.
*Professor of Anesthesia and Intensive Care, University of Parma; Artificial Intelligence expert of the Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care
July 14, 2023 (change July 14, 2023 | 3:30 pm)
© REPRODUCTION RESERVED
#eclipse #humans #work #safely
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| Will AI eclipse humans, or can we work together safely and fairly? | Will AI eclipse humans, work safely fairly? Pledge Times Disclaimer Pledge Times T C Us Friday, July 14, 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 Health Will AI eclipse humans, work safely fairly? admin_l6ma5gus July 14, 2023 Health 0 Of Elena Giovanna Bignami The scientific journal Science dedicates monograph hottest topic moment. Many questions answers. Just contribution better understand There tremendous advances development application Artificial Intelligence AI science society. But AI eclipse humans, way collaborate safely fairly, allowing further? To questions tries answers contributions help better understand special issue Science wanted dedicate hottest topic moment. Some authors scientific articles different fields underline progress new technologies particular Artificial Intelligence AI evaluating field application, possible diffusion technical, legal ethical problems . Racial variables Some studies shown AI models infer racial variables, albeit broad simple categories, directly medical images chest xrays cardiac ultrasounds, despite known specific racial correlations clinical diagnostic images. See New Years Eve: good resolutions actually bad health James Zou colleagues state AIs ability predict racial variables medical images useful monitoring health disparities ensure algorithms perform different populations. Matthew DeCamp Charlotta Lindvall point assessing variables use AI health care tended remove bias datasets, analyzes AI development teams. However, reduce eliminate bias AI need remove sel variablesection And numbers fed AI algorithms. Machine learning decipher animals communicate In study, Rutz collaborators state Machine LearningML branch AI decipher animal communication systems consequent potential benefits animal welfare. Controlled game systems In fourth contribution, attention placed AI investigate application controlled gaming systems improve capabilities Problem Solving, applied real world subsequent benefit, i.e. primordial simulation. Generative AI copyright During comparison use generative AI Pamela Samuelson underlines substantial variations future dissemination use AI following legal actions artists c orrelated copyright everincreasing development diffusion type AI, application generates videos, images, audios texts. See Sma, stop Turin SMAnia di sport expert advice Economic inequalities Some economics scholars argue AI systems increase inequalities people field. Ajay Agrawal collaborators, hand, draw attention consequences ofapplication AI labor market assuming reduction growing gap different social economic conditions different citizens. In fact, think creation codified easytouse models, skilled workers start carrying activities previously required specialized trainingand easily accessible everyone. The role field infectious diseases In review, Wong underlines AI ML given significant boost research field infectious diseases, leading complete profound understanding pathological mechanisms infections development new drugs. Chemicals management Bing Huang, hand, focuses crucial role ML play software routinely handle exotic chemicals formulations laboratories relative autonomycalling functional theory fate fundamental chemical materials science relatively high predictive power. See Ten false myths truths skin cancer. Diagnosis, therapies Robots medicine Also, different interpretations AI sophisticated robots medical field, carry precise realtime diagnostic images assist clinicians surgical interventions. Prosthesis rehabilitation Finally, use AI prostheticrehabilitative field generate advanced devices create personalized medicine assistanceup AIbased prostheses work uniformly humans. Professor Anesthesia Intensive Care, University Parma; Artificial Intelligence expert Italian Society Anesthesia Analgesia Resuscitation Intensive Care July 14, 2023 change July 14, 2023 3:30 pm REPRODUCTION RESERVED eclipse humans work safely admin_l6ma5gus Related Posts Not elderly, sportsmen people Covid, hot risk categories admin_l6ma5gus July 14, 2023 0 Sportsmen, young people, workers carry intense outdoor activities. But people disadvantaged economic conditions, pregnant... 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] | 1 | 2,135 |
https://pledgetimes.com/will-financial-markets-resist-artificial-intelligence/ | 2023-06-12T00:00:00 | en | Will financial markets resist artificial intelligence? - Pledge Times |
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Will financial markets resist artificial intelligence?
by
admin_l6ma5gus
June 12, 2023
in
World Europe
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Deutsche Wellei
Deutsche Welle https://www.istoedinheiro.com.br/autor/deutsche-welle/
06/12/2023 – 1:17 pm
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When a simple AI-faked photo is able to pressure the indexes of a major stock exchange, it’s time to worry. And even more serious is the domination of financial markets by technology firms. On a Monday morning in May 2023, US financial markets took a sharp plunge. The photo of an explosion at the Pentagon, near the capital Washington, was spreading on social networks and leaked to the most popular investment websites.
Was it an attack? Investors apparently thought so. Stock exchanges tend to underperform in the early stages of an international conflict: the S&P 500 index fell 0.3% – the lowest price for the trading session – and safe investments, such as gold and Treasury bonds, began to impose themselves.
Within a few hours, everything was back to normal: the photo was found to be faked, according to experts possibly generated by artificial intelligence (AI). But – with virtual images becoming more realistic and easier to manufacture – this conflagration of investor panic calls into question what AI means to the stability of financial markets.
There is no shortage of apprehension about the dangers of the rise of artificial intelligence: misinformation, deepfakes and the extinction of the human species are just some of the concerns that figure in the public debate about this technology.
Algorithmic transactions at the mercy of AI
In May, Gary Gensler, director of the US agency for combating market manipulation, the US Securities and Exchange Commission (SEC), said that AI could represent a “systemic risk” capable of triggering the next financial crisis.
See also Freezing of accounts | Russia: Freezing the accounts of Finnish embassies is revenge - this is known about the situationLike other experts, he is especially apprehensive about the consequences of generative artificial intelligence, which includes ChatGPT and is capable of producing complex texts, sounds and images, such as the alleged attack on the Pentagon.
US and European Union regulatory bodies are currently working to regulate the technology. As far as false images are concerned, the more realistic and frequent they become, the greater the threat they pose to financial markets – until a way is found to detect them easily.
Adam Kobeissi, editor-in-chief of The Kobeissi Letter, a weekly financial industry publication, attributes the phenomenon to the fact that big market movements are reacting more immediately to big news.
“Many of these movements are happening due to high-frequency trading, algorithmic trading,” he told the Associated Press news agency. “Which is basically taking headlines, synthesizing them, and then translating them into millisecond transactions.”
Algorithmic stock trading is a type of trading done by computers, employing a trading package trained to recognize past patterns and trade based on them. “It’s basically like pulling the trigger every time a headline comes out,” summarizes Kobeissi.
Internet intensifies existing behaviors
However, Nir Vulkan, professor of commercial economics at the University of Oxford, points out that this type of business behavior is nothing new: markets have always reacted to rumors and misinformation, but they usually correct themselves once the truth comes out.
See also Accidents | The pursuit of a lorry and a lorry hinders traffic on Hämeenlinnanväylä“With the internet and everything being connected, things happen faster and maybe stronger, but then they end up being corrected”, says Vulkan. Unlike Kobeissi, he is not convinced that algorithmic trading is the main cause of volatility in response to fake images: he attributes it rather to low-frequency algorithmic trading.
While high-frequency trades are only held for seconds, low-frequency trades last much longer, even weeks. They are preferred by hedge funds. As high-frequency algorithms take advantage of very short-term opportunities, their capital volume is much smaller.
So “the big money is almost all in the low frequency”, says Vulkan. The algorithms used by most of the hedge funds he knows would not panic when they see a brief movement like the one after the release of the Pentagon image, he says.
When the trend corrects itself at the end of the day, the algorithms in question would not have been affected. “So we can say that it’s fantastic: these algorithms react better to short-term fake events than humans do”, concludes Vulkan.
Thus, it would be very difficult to make money with this kind of short-term reactions. Except for those who know it is happening or are the cause of it – which is already illegal.
As for an eventual increase in volatility, as such images become more common, the Oxford professor relativizes: “I don’t know if it’s an algorithmic issue. It’s more a question of resilience against fake news in general.”
See also 14 dead in bar shooting in SowetoOverreliance on technology
For now, the biggest risk for markets may not be investors, human or otherwise, being deceived by AI-generated images: there are those who consider there to be too much faith in the technology itself. In recent months, a growing interest in artificial intelligence has drawn huge numbers of investors into technology stocks — and for some experts, there are just too many.
“The AI revolution is probably very real, very significant,” Julian Emanuel of investment advisory firm Evercore ISI told CNBC. “But these things come in waves. Then, a little too much enthusiasm is created, and the quotations fall.”
In a note published in April, strategists at financial JPMorgan Chase, led by Dubravko Lakos-Bujas, warned that the current level of concentration in the sector means that “the risk of recession is far from being included in the accounts”.
Both Lakos-Bujas and Emanuel worry that growth in financial ratios is too concentrated in tech firms like Microsoft, Alphabet, Amazon, Apple, Meta and Nvidia. At the moment, about half of the technology-centric Nasdaq index is dominated by these six multinationals.
If market interests turn away from artificial intelligence – or technology in general, as they did after central banks started raising interest rates – the widespread market euphoria could come to a crashing end.
#financial #markets #resist #artificial #intelligence
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| Will financial markets resist artificial intelligence? | Will financial markets resist artificial intelligence? Pledge Times Disclaimer Pledge Times T C Us Tuesday, June 13, 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 Europe Will financial markets resist artificial intelligence? admin_l6ma5gus June 12, 2023 World Europe 0 Deutsche Wellei Deutsche Welle 06122023 1:17 pm Share When simple AIfaked photo able pressure indexes major stock exchange, time worry. And domination financial markets technology firms. On Monday morning May 2023, US financial markets took sharp plunge. The photo explosion Pentagon, near capital Washington, spreading social networks leaked popular investment websites. Was attack? Investors apparently thought so. Stock exchanges tend underperform early stages international conflict: SP 500 index fell 0.3 lowest price trading session safe investments, gold Treasury bonds, began impose themselves. Within hours, normal: photo faked, according experts possibly generated artificial intelligence AI. But virtual images realistic easier manufacture conflagration investor panic calls question AI means stability financial markets. There shortage apprehension dangers rise artificial intelligence: misinformation, deepfakes extinction human species concerns figure public debate technology. Algorithmic transactions mercy AI In May, Gary Gensler, director US agency combating market manipulation, US Securities Exchange Commission SEC, said AI represent systemic risk capable triggering financial crisis. See Freezing accounts Russia: Freezing accounts Finnish embassies revenge known situationLike experts, especially apprehensive consequences generative artificial intelligence, includes ChatGPT capable producing complex texts, sounds images, alleged attack Pentagon. US European Union regulatory bodies currently working regulate technology. As far false images concerned, realistic frequent become, greater threat pose financial markets way detect easily. Adam Kobeissi, editorinchief The Kobeissi Letter, weekly financial industry publication, attributes phenomenon fact big market movements reacting immediately big news. Many movements happening highfrequency trading, algorithmic trading, told Associated Press news agency. Which basically taking headlines, synthesizing them, translating millisecond transactions. Algorithmic stock trading type trading computers, employing trading package trained recognize past patterns trade based them. 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https://powdersvillepost.com/emma-new-ai-robot-masseuse-new-age-massages/ | 2021-09-06T00:00:00 | en | EMMA, The New AI Robot Masseuse For New-Age Massages | EMMA, The New AI Robot Masseuse For New-Age Massages HomeUS ElectionCOVID-19Top NewsWorldPoliticsTechFitnessAboutContactJobsAdvertiseNewsletter Powdersville Post🔥 US ElectionEconomyEntertainmentPoliticsSportTechTop NewsWorld Top NewsEMMA, The New AI Robot Masseuse For New-Age Massages By Nikki Attkisson Posted on September 6, 2021 Share Tweet Share Share Email CommentsA robot has been taking 6 years to be developed to deliver messages. It is named EMMA by the startup AiTreat. great has been working on this robot to work on artificial intelligence. This robot can give ancient wellness massage to help people across nations to boost their health.You can get Tui Na from EMMA the robot working on AIThis robot developed by a Singaporean startup AiTreat can deliver Tui Na to those who make an appointment. Tui Na is very similar to deep tissue massage which has been given as traditional Chinese medicine (TCM). TCM has been given for thousands of years across China and Southeast Asia. EMMA is a high-tech update of this traditional massage that will get you rejuvenated.EMMA works on sensors and 3D vision to work bestExpert Manipulative Massage Automation or EMMA has been named after the system. EMMA uses pressure points to be identified and then gives deep tissues massage. Tui Na offers relief from pain which the high-tech robot can work on. You can expect relief from muscle pain and increased rejuvenation with this AI robot-delivered massage.The tech company assures efficient massages that can suit your needsEMMA can be customized to the needs of the receiver, assured the CEO of AiTreat, Albert Zhang. Albert Zhang stated that this robot can be flexible to individual needs and can be personalized as well. He hopes to bring better treatment in the form of messages to people. He further mentioned that these massages are cost-effective to suit everyone.New startup AiTreat based in Singapore started in 2015Albert Zhang studied biomedical sciences at Nanyang Technological University (NTU) in Singapore. Zhang uses his knowledge of treatment as he is a trained physician in traditional Chinese medicine (TCM). He has been diagnosing and delivering treatment to patients. In his observation, he noted that these treatments were mostly tedious and repetitive.EMMA can be used in place of preventive treatmentThis robotic treatment works on a soft-touch treatment module to deliver massages. EMMA is warmed to temperatures of about 38 to 40 degrees Celsius (100 to 104 degrees Fahrenheit). Albert Zhang makes sure that the messages this robot gives are as true as a real person’s massage. He also details that his preference for robotic massages is for treatment, and he likes real masseuses.This AI-powered robot can perform better than expectationsApart from being cost-effective, EMMA can work on the 10% highly skilled part. It can break free from the set form of massages given by people as it can be customized. Such flexible forms of massages can reduce pressure on one part and increase productivity. It can see four patients and operate two in a day as compared to the one done by a physician.This time-saving robot can save you labor and much timeAlbert Zhang explained that traditional Chinese medicine practitioners need to take years of training. After this training, they are accredited, and they need additional certificates to be fit for treating patients. They need a lot to give therapeutic massages like the Tui Na or acupuncture. While his technological advancement can solve all these problems without much time and effort.Understanding the proficiency of EMMA, the AI robotThis artificial intelligence-run robot is trained with thousands of data points to perform efficiently. It has been trained to look after bodies of different shapes, sizes, and ethnicities. Thus, it is highly capable of delivering the best massages owing to the high tech and advanced training. EMMA can calculate the medians and acupoints as well, in the people.You can look for a more holistic treatment because of all the dataEMMA with its sensors working on artificial intelligence can detect muscle stiffness. The diagnosis can be more holistic owing to this informed process. For example, if one has knee pain, this robot will not only massage the legs but also the lower back. Different types of massages can be received from this robot including Sports massages.Future improvements expected with robots to do more work in this areaA medical robot to perform and help with more work is a vision of Albert Zhang. A medical robot to work as a physiotherapist is in the making. Eleven robots have been sent to eight clinics in Singapore. He looks forward to creating more AI robots to cater to the increased demand. Related Items:Featured Share Tweet Share Share Email Click to commentLeave a Reply Cancel replyYour email address will not be published. Required fields are marked *CommentName * Email * Website Save my name, email, and website in this browser for the next time I comment. Live news, investigations, opinion, photos and videos that brings you unparalleled access to the people and events shaping our world today. We tell stories in a range of formats to fit your life and amplify your experience. 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| EMMA, The New AI Robot Masseuse For New-Age Massages | EMMA, The New AI Robot Masseuse For NewAge Massages HomeUS ElectionCOVID19Top NewsWorldPoliticsTechFitnessAboutJobsAdvertiseNewsletter Powdersville Post US ElectionEconomyEntertainmentPoliticsSportTechTop NewsWorld Top NewsEMMA, The New AI Robot Masseuse For NewAge Massages By Nikki Attkisson Posted September 6, 2021 Share Tweet Share Share Email CommentsA robot taking 6 years developed deliver messages. It named EMMA startup AiTreat. great working robot work artificial intelligence. This robot ancient wellness massage help people nations boost health.You Tui Na EMMA robot working AIThis robot developed Singaporean startup AiTreat deliver Tui Na appointment. Tui Na similar deep tissue massage given traditional Chinese medicine TCM. TCM given thousands years China Southeast Asia. EMMA hightech update traditional massage rejuvenated.EMMA works sensors 3D vision work bestExpert Manipulative Massage Automation EMMA named system. EMMA uses pressure points identified gives deep tissues massage. Tui Na offers relief pain hightech robot work on. You expect relief muscle pain increased rejuvenation AI robotdelivered massage.The tech company assures efficient massages suit needsEMMA customized needs receiver, assured CEO AiTreat, Albert Zhang. Albert Zhang stated robot flexible individual needs personalized well. He hopes bring better treatment form messages people. He mentioned massages costeffective suit everyone.New startup AiTreat based Singapore started 2015Albert Zhang studied biomedical sciences Nanyang Technological University NTU Singapore. Zhang uses knowledge treatment trained physician traditional Chinese medicine TCM. He diagnosing delivering treatment patients. In observation, noted treatments tedious repetitive.EMMA place preventive treatmentThis robotic treatment works softtouch treatment module deliver massages. EMMA warmed temperatures 38 40 degrees Celsius 100 104 degrees Fahrenheit. Albert Zhang makes sure messages robot gives true real persons massage. He details preference robotic massages treatment, likes real masseuses.This AIpowered robot perform better expectationsApart costeffective, EMMA work 10 highly skilled part. It break free set form massages given people customized. Such flexible forms massages reduce pressure increase productivity. It patients operate day compared physician.This timesaving robot save labor timeAlbert Zhang explained traditional Chinese medicine practitioners need years training. After training, accredited, need additional certificates fit treating patients. They need lot therapeutic massages like Tui Na acupuncture. While technological advancement solve problems time effort.Understanding proficiency EMMA, AI robotThis artificial intelligencerun robot trained thousands data points perform efficiently. It trained look bodies different shapes, sizes, ethnicities. Thus, highly capable delivering best massages owing high tech advanced training. EMMA calculate medians acupoints well, people.You look holistic treatment dataEMMA sensors working artificial intelligence detect muscle stiffness. The diagnosis holistic owing informed process. For example, knee pain, robot massage legs lower back. Different types massages received robot including Sports massages.Future improvements expected robots work areaA medical robot perform help work vision Albert Zhang. A medical robot work physiotherapist making. Eleven robots sent clinics Singapore. He looks forward creating AI robots cater increased demand. Related Items:Featured Share Tweet Share Share Email Click commentLeave Reply Cancel replyYour email address published. Required fields marked CommentName Email Website Save name, email, website browser time I comment. Live news, investigations, opinion, photos videos brings unparalleled access people events shaping world today. 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https://pressgazette.co.uk/publishing-services-content/to-protect-future-newsrooms-from-ai-fakery-we-must-first-protect-the-past/ | 2023-10-05T00:00:00 | en | To protect future newsrooms from AI fakery we must first protect the past - Press Gazette |
To protect future newsrooms from AI fakery we must first protect the past - Press Gazette
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October 5, 2023
To protect future newsrooms from AI fakery we must first protect the past
OpenOrigins seeks to protect news from AI fakery with digital fingerprints.
By
Dr Mansoor Ahmed-Rengers
Artificial intelligence. Picture: Pixabay
“History is written by the victor” – and it will be rewritten by AI.
Much ink has been spilled on the problem of disinformation supercharged by generative AI. The consequences of photorealistic synthetic content on how organisations ingest media are obvious, I hope, to anyone reading this.
However, there is an even deeper, more urgent problem that hasn’t received nearly enough attention: the security of archives and their long-term value in the face of photorealistic AI-generated content.
At the Archives and Records Conference in Belfast this year, I spoke to several archivists and record-keepers who clearly saw their role as guardians of the truth. However, I fear our guardians aren’t fully awake to the forces attacking our fragile fortress.
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Generative AI represents a unique threat to archival security – no longer are we concerned about ransomware or deletion of records, we are concerned about the veracity of every piece of content regardless of its age, origin and creator. It is as simple as adding a few realistic-looking synthetic images to an archive to completely dissolve any sense of trust in the archive as a whole.
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When deep fakes were first invented, they didn’t know how to blink. There aren’t a lot of high-resolution pictures of famous people with their eyes closed so the AI models didn’t think to close the eyes of the clones. Once this unblinking nature was discovered, it became simple to detect deepfakes. That lasted about five months before the deep fake models were updated with the ability to blink.
This is a common theme: AI detectors figure out some quirk of AI content that allows them to distinguish them from real content, AI creators then learn of this quirk and fix it, AI detectors go on the hunt for a new quirk.
With each iteration of this cycle, the AI models become better until, eventually, they’re truly undetectable. We have already reached the end of this cycle as text AI-generated content can no longer be reliably detected by humans or machines and never will be.
I believe we are 24 months away from this happening for photographic content. So, we only have two years to secure all historical content. After that, any unsecured archive will remain forever unverifiable with no reason to believe its account of history over that of any of the thousands of AI- generated accounts. If you cannot prove that a piece of media existed before the AI inflection point, you can never again prove that it is real. This effectively drives the value of any archive to zero. Without trust in content, an archive holds no value as a documentation of history.
So how do we continue to protect the future of the newsroom? We start by safeguarding the past.
The process of securing an archive is not as simple as hiring a team of cybersecurity wizards to ensure that the archive is locked up in what might feel like an impenetrable vault. Like in Troy, there is always a horse, a single point of failure can always lead to a breach. Each individual organisation is inherently susceptible to synthetic content injection simply because any siloed database has no external provability.
Moreover, each image and video in an archive holds no unique fingerprint, no incorruptible origin point that can be pointed to as proof that an image or video has in fact not been edited or changed. This siloing, combined with the lack of proof information, creates a complete erosion of trust for any external party trying to validate an archive or its contents.
The first step to secure an archive is to create a fingerprint for each piece of content in it. This is a demonstrable marker of its existence and a proof that that photo or video is in fact the original object that was placed in the database, not an added fake. The second is to anchor all these photos onto a secure ledger of trust. This allows us to externally verify that the content is in fact the content it claims to be. The third step is to distribute the trust, creating thousands of points of failure instead of just one. We do this by creating a network of ‘verifiers’ who all collaboratively act as the trust layer for each piece of content. This effectively removes the single point of failure problem while ensuring that the content itself never leaves each organisation’s infrastructure.
At OpenOrigins we call this process Archive Anchoring. Archive Anchoring ensures that archives remain resilient in the face of AI and retain their value indefinitely while keeping content ownership firmly in the hands of the owners.
The next 24 months will lay the groundwork for the information landscape of the next 20 years. Organisations that do not take steps today to protect themselves will have no role to play in that landscape.
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Dr Mansoor Ahmed-Rengers
Mansoor is the Founder of Frankli and OpenOrigins. He previously completed his PhD at the University of Cambridge where he invented several cybersecurity and privacy-preserving technologies.
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| To protect future newsrooms from AI fakery we must first protect the past | To protect future newsrooms AI fakery protect past Press Gazette View newsletters Sign free email newsletters Fighting quality news media digital age. All Sections In section LatestPublishersTech PlatformsAIPartnersDirectoryDataPodcastJobsEventsNewsletter Home Latest Publishers Back sections B2B Broadcast Journalism Digital Journalism Magazines National Newspapers Regional Newspapers Photography Wires Agencies Tech Platforms AI Partners Directory Back sections Partner Brands Data Back sections Audience Data Business Data Podcast Jobs Events Newsletter Explore Press Gazette All Latest Articles News Generative AI Publishing Comment North America Paywalls Podcasts Newsletters Obituaries Ads Marketing B2B National Newspapers Broadcast Journalism Digital Journalism Magazines Regional Newspapers Wires Agencies Media Business Media Law In association Partner Content October 5, 2023 To protect future newsrooms AI fakery protect past OpenOrigins seeks protect news AI fakery digital fingerprints. By Dr Mansoor AhmedRengers Artificial intelligence. Picture: Pixabay History written victor rewritten AI. Much ink spilled problem disinformation supercharged generative AI. The consequences photorealistic synthetic content organisations ingest media obvious, I hope, reading this. However, deeper, urgent problem received nearly attention: security archives longterm value face photorealistic AIgenerated content. At Archives Records Conference Belfast year, I spoke archivists recordkeepers clearly saw role guardians truth. However, I fear guardians arent fully awake forces attacking fragile fortress. Related Tech Platforms Why 20yearold Linkedin cool? Weve changed, says editorinchief Social media Whatsapp publishers: How Reach driving millions views messaging app Tech Platforms Major news publishers block bots ChatGPT starts taking live news Generative AI represents unique threat archival security longer concerned ransomware deletion records, concerned veracity piece content regardless age, origin creator. It simple adding realisticlooking synthetic images archive completely dissolve sense trust archive whole. newsletters View newsletters Never miss story Press Gazette Sign Select enter email address Future Media Weekly insight big strategic issues affecting future news industry. Essential reading media leaders Thursday. Press Gazette Daily Your morning brew news world news Press Gazette media. Sent 10am UK time. Future Of Media USA Our weekly strategic insight future news media aimed US readers. Marketing Matters A fortnightly update frontline news advertising. Aimed marketers involved advertising industry. Your email address Job title Job title Business ownercoowner CEO COO CFO CTO Chairperson NonExec Director Other CSuite Managing Director PresidentPartner Senior ExecutiveSVP Corporate VP equivalent Director equivalent Group Senior Manager Head DepartmentFunction Manager Nonmanager Retired Other Job title Business ownercoowner CEO COO CFO CTO Chairperson NonExec Director Other CSuite Managing Director PresidentPartner Senior ExecutiveSVP Corporate VP equivalent Director equivalent Group Senior Manager Head DepartmentFunction Manager Nonmanager Retired Other Sign Visit privacy Policy information services, New Statesman Media Group use, process share personal data, including information rights respect personal data unsubscribe future marketing communications. Thank Thanks subscribing. Close When deep fakes invented, didnt know blink. There arent lot highresolution pictures famous people eyes closed AI models didnt think close eyes clones. Once unblinking nature discovered, simple detect deepfakes. That lasted months deep fake models updated ability blink. This common theme: AI detectors figure quirk AI content allows distinguish real content, AI creators learn quirk fix it, AI detectors hunt new quirk. With iteration cycle, AI models better until, eventually, theyre truly undetectable. We reached end cycle text AIgenerated content longer reliably detected humans machines be. I believe 24 months away happening photographic content. So, years secure historical content. After that, unsecured archive remain forever unverifiable reason believe account history thousands AI generated accounts. If prove piece media existed AI inflection point, prove real. This effectively drives value archive zero. Without trust content, archive holds value documentation history. So continue protect future newsroom? We start safeguarding past. The process securing archive simple hiring team cybersecurity wizards ensure archive locked feel like impenetrable vault. Like Troy, horse, single point failure lead breach. Each individual organisation inherently susceptible synthetic content injection simply siloed database external provability. Moreover, image video archive holds unique fingerprint, incorruptible origin point pointed proof image video fact edited changed. This siloing, combined lack proof information, creates complete erosion trust external party trying validate archive contents. The step secure archive create fingerprint piece content it. This demonstrable marker existence proof photo video fact original object placed database, added fake. The second anchor photos secure ledger trust. This allows externally verify content fact content claims be. The step distribute trust, creating thousands points failure instead one. We creating network verifiers collaboratively act trust layer piece content. This effectively removes single point failure problem ensuring content leaves organisations infrastructure. At OpenOrigins process Archive Anchoring. Archive Anchoring ensures archives remain resilient face AI retain value indefinitely keeping content ownership firmly hands owners. The 24 months lay groundwork information landscape 20 years. Organisations steps today protect role play landscape. Topics article : sponsored Email pged point mistakes, provide story tips send letter publication Letters Page blog Dr Mansoor AhmedRengers Mansoor Founder Frankli OpenOrigins. He previously completed PhD University Cambridge invented cybersecurity privacypreserving technologies. More author See All More topic Comment Russell Brand investigation: Why Met Police issued statement media despite privacy rules Comment News industry failings led secret justice plan rape trials Comment NCTJs fight save Community News Project heartbreaking Meta decision Recent Podcasts PG Podcast Podcast 57: What Murdoch Factor? PG Podcast Podcast 56: Is future looking brighter Future? Jon Steinberg CEO interview PG Podcast Podcast 55: Launching time turmoil, Semafor CEO Justin B Smith Press Gazette About Home Page Advertising Partnerships Social FacebookTwitter Legals Editorial standardsComplaints Corrections Terms conditions Fighting quality news media digital age. 2023 New Statesman Media Group Ltd. Select enter email address Future Media Weekly insight big strategic issues affecting future news industry. Essential reading media leaders Thursday. Press Gazette Daily Your morning brew news world news Press Gazette media. Sent 10am UK time. 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https://presstories.com/2023/10/05/new-ai-stickers-allow-facebook-to-create-elmo-with-a-knife-latest-from-press-stories/ | 2023-10-05T00:00:00 | en | New AI Stickers allow Facebook to Create Elmo with a Knife - Latest from Press Stories |
New AI Stickers allow Facebook to Create Elmo with a Knife - Latest from Press Stories
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New AI Stickers allow Facebook to Create Elmo with a Knife – Latest from Press Stories
New AI Stickers allow Facebook to Create Elmo with a Knife – Latest from Press Stories
Jeremy Smith
Oct 05, 2023
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Title: Meta’s AI-Generated Stickers Spark Controversy Over User Abuse
In a recent development, Meta’s AI-generated stickers in the Facebook Messenger app have faced widespread abuse from users, prompting concerns about offensive and potentially harmful content circulating on the platform. Users have taken advantage of this new feature to create images of copyright-protected characters that are potentially offensive.
The controversy began when artist Pier-Olivier Desbiens posted a series of viral stickers that were offbeat and unconventional. This sparked a thread of similarly controversial AI image generations, pointing to the issue of users exploiting the technology for potentially harmful purposes.
The AI stickers feature, available on both Facebook and Instagram Messenger, allows users to create simulated sticker images based on text-based descriptions. However, Meta’s Emu image synthesis model, responsible for creating these stickers, has been unable to catch all offensive combinations, leading to offensive stickers such as Mickey Mouse holding a machine gun, flaming Twin Towers, and the pope with a machine gun, among others.
The emergence of AI-generated imagery has prompted experimentation among users, as they try to bypass content filters on popular social media platforms. OpenAI’s DALL-E 3, another AI model, has also been tested with controversial images featuring real people or violent content, raising further concerns about the challenges of moderating AI-generated content in online spaces.
In response to the mounting criticism, Meta may consider pulling the AI stickers feature or implementing stronger filters to ensure the responsible usage of the technology. A Meta spokesperson has referred to a blog post that highlights the responsibility the company holds in building and maintaining generative AI features.
See also Airbus contracted to bring back samples from MarsDespite the controversy, Meta has vowed to improve the AI stickers feature as they receive more feedback from the user community. As the discussion surrounding the challenges of moderating AI-generated content in online spaces continues to grow, it remains a pressing concern for platforms like Facebook.
In conclusion, while Meta’s AI-generated stickers feature in the Facebook Messenger app initially held promise, its misuse by users to create offensive images has raised alarm bells. The company must now grapple with the challenge of moderating such content or potentially removing the feature altogether. As social media platforms increasingly rely on AI technology, finding the right balance between innovation and responsible usage remains crucial.
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About the Author: Jeremy Smith
"Infuriatingly humble bacon aficionado. Problem solver. Beer advocate. Devoted pop culture nerd."
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| New AI Stickers allow Facebook to Create Elmo with a Knife | New AI Stickers allow Facebook Create Elmo Knife Latest Press Stories DMCA Form Home Top News World Companies Economy Sports Entertainment Form Menu Pages DMCA Form CategoriesHome Top News World Companies Economy Sports Entertainment Form Home Technology New AI Stickers allow Facebook Create Elmo Knife Latest Press Stories New AI Stickers allow Facebook Create Elmo Knife Latest Press Stories Jeremy Smith Oct 05, 2023 0 Comments Tweet Twitter Share Facebook Google Pinterest Title: Metas AIGenerated Stickers Spark Controversy Over User Abuse In recent development, Metas AIgenerated stickers Facebook Messenger app faced widespread abuse users, prompting concerns offensive potentially harmful content circulating platform. Users taken advantage new feature create images copyrightprotected characters potentially offensive. The controversy began artist PierOlivier Desbiens posted series viral stickers offbeat unconventional. This sparked thread similarly controversial AI image generations, pointing issue users exploiting technology potentially harmful purposes. The AI stickers feature, available Facebook Instagram Messenger, allows users create simulated sticker images based textbased descriptions. However, Metas Emu image synthesis model, responsible creating stickers, unable catch offensive combinations, leading offensive stickers Mickey Mouse holding machine gun, flaming Twin Towers, pope machine gun, others. The emergence AIgenerated imagery prompted experimentation users, try bypass content filters popular social media platforms. OpenAIs DALLE 3, AI model, tested controversial images featuring real people violent content, raising concerns challenges moderating AIgenerated content online spaces. In response mounting criticism, Meta consider pulling AI stickers feature implementing stronger filters ensure responsible usage technology. A Meta spokesperson referred blog post highlights responsibility company holds building maintaining generative AI features. See Airbus contracted bring samples MarsDespite controversy, Meta vowed improve AI stickers feature receive feedback user community. As discussion surrounding challenges moderating AIgenerated content online spaces continues grow, remains pressing concern platforms like Facebook. In conclusion, Metas AIgenerated stickers feature Facebook Messenger app initially held promise, misuse users create offensive images raised alarm bells. The company grapple challenge moderating content potentially removing feature altogether. As social media platforms increasingly rely AI technology, finding right balance innovation responsible usage remains crucial. Tweet Twitter Share Facebook Google Pinterest You May Also Like Exciting Games Coming Out October: SpiderMan 2, Super Mario Bros., More Press Stories: iPhone 15 Pro version Resident Evil 4 Remake priced 60 Apple explores GPS AirPods Adaptive Audio control Unveiling 3 Crucial Artificial Intelligence AI Breakthroughs: Nvidia, Amazon, Alphabet Critics calling Apples FineWoven iPhone cases Breaking News: iOS 0days, Cellular Network Compromise, iPhone Infection HTTP About Author: Jeremy Smith Infuriatingly humble bacon aficionado. Problem solver. Beer advocate. Devoted pop culture nerd. Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. NavigateHome Top News World Companies Economy Sports Entertainment Form Pages DMCA Form Stay uptodate Get Latest News With NavigateHome Top News World Companies Economy Sports Entertainment Form Office X. Herald . 114 5th Ave New York, NY 10011, United States Queries? Do queries? Feel free contact Form 2023 The Press Stories Theme HappyThemes | 2,023 | [
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Global Artificial Intelligence for Automotive Applications Market Size, Share, Value, and Competitive Landscape 2020-2026
Post author
By wiseguyreports
Post date
January 16, 2021
Summary – A new market study, “Global Artificial Intelligence for Automotive Applications Market Research Report 2021”has been featured on WiseGuyReports.
The research report includes specific segments by region (country), by manufacturers, by Type and by Application. Each type provides information about the production during the forecast period of 2016 to 2027. by Application segment also provides consumption during the forecast period of 2016 to 2027. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
Read More Reports from our Database :
https://icrowdnewswire.com/2021/01/12/artificial-intelligence-for-automotive-applications-market-2021-global-trend-segmentation-and-opportunities-forecast-2027/
http://www.marketwatch.com/story/coiled-tubing-services-global-market-2021-share-growth-trend-industry-analysis-and-forecast-to-2026-2021-01-06
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http://www.marketwatch.com/story/contact-center-software-market-2020-global-key-players-trends-share-industry-size-segmentation-opportunities-forecast-to-2026-2020-12-04
Segment by Type
Machine Learning
Neural Networks
Get Free Sample Report :
https://www.wiseguyreports.com/sample-request/6180959-global-artificial-intelligence-for-automotive-applications-market-research
Segment by Application
Autonomous Driving
Driver and Passenger Personalization and Enhancement
Enhanced Ability to Capture Data
Other
By Company
AImotive
Argo AI
Astute Solutions
Audi
BMW
Production by Region
North America
Europe
China
Japan
South Korea
India
Consumption by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
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| Global Artificial Intelligence for Automotive Applications Market Size, Share, Value, and Competitive Landscape 2020-2026 | Global Artificial Intelligence Automotive Applications Market Size, Share, Value, Competitive Landscape 20202026 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 Global Artificial Intelligence Automotive Applications Market Size, Share, Value, Competitive Landscape 20202026 Post author By wiseguyreports Post date January 16, 2021 Summary A new market study, Global Artificial Intelligence Automotive Applications Market Research Report 2021has featured WiseGuyReports. The research report includes specific segments region country, manufacturers, Type Application. Each type provides information production forecast period 2016 2027. Application segment provides consumption forecast period 2016 2027. Understanding segments helps identifying importance different factors aid market growth. Read More Reports Database : Segment Type Machine Learning Neural Networks Get Free Sample Report : Segment Application Autonomous Driving Driver Passenger Personalization Enhancement Enhanced Ability Capture Data Other By Company AImotive Argo AI Astute Solutions Audi BMW Production Region North America Europe China Japan South Korea India Consumption Region North America U.S. Canada Europe Germany France U.K. Italy Russia AsiaPacific China Japan South Korea India Australia Taiwan Indonesia Thailand Malaysia Philippines Vietnam Latin America Mexico Brazil Argentina Middle East Africa Turkey Saudi Arabia U.A.E Key Trends Recovery Analysis Global Electric Vehicles Battery Market Research Report 2020 BYD, Panasonic, CATL, OptimumNano, LG Chem, GuoXuan, Lishen, PEVE, AESC, Samsung, Lithium Energy Japan, Beijing Pride Power, BAK Battery, WanXiang, Hitachi, ACCUmotive, Boston Power Global Data Centre KVM Switches Market Research Report 2020 for: Recent Posts Calcium Phosphate Bone Cement Market Insights Upcoming Trends 2030 US Compact Photo Printers Market Research 2021 New Report Growth Forecast 2025 Virtual Reality Healthcare Market Study Verified Market Research SWOT PESTEL Analysis, CAGR Value Chain Study septennial 20212027 High Speed Variable Optical Attenuator Market Size By Analysis, Key Vendors, Regions, Type Application, Forecasts 2027 The eEdition, digital replica print paper, day. 2021 Owned Powered WordPress To Up | 2,021 | [
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https://react.etvbharat.com/english/national/science-and-technology/machine-learning-can-help-slow-down-future-pandemics-study/na20210415204037193 | 2021-04-15T00:00:00 | en | Machine Learning can help slow down future pandemics: Study | Machine Learning can help slow down future pandemics: Study BACK TO TOP About us Privacy Policy Terms & Conditions Contact us Copyright © 2021 Ushodaya Enterprises Pvt. Ltd., All Rights Reserved. INSTALL APPCHANGE STATESEARCHMORE About us Privacy Policy Terms & Conditions Contact usFeedbackCopyright © 2021 Ushodaya Enterprises Pvt. Ltd., All Rights Reserved. | Machine Learning can help slow down future pandemics: Study | Machine Learning help slow future pandemics: Study BACK TO TOP About Terms Conditions 2021 Ushodaya Enterprises Pvt. Ltd., . INSTALL APPCHANGE STATESEARCHMORE About Terms Conditions usFeedback 2021 Ushodaya Enterprises Pvt. Ltd., . | 2,021 | [
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https://rejerusalem.com/200118/global-commerce-artificial-intelligence-market-2020-future-scenario-huawei-technologies-aibrain-nvidia-corporation-samsung/ | 2020-10-28T00:00:00 | en | Global Commerce Artificial Intelligence Market 2020 Future Scenario – Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG – re:Jerusalem |
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Home/Business/Global Commerce Artificial Intelligence Market 2020 Future Scenario – Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG
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Global Commerce Artificial Intelligence Market 2020 Future Scenario – Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG
david
October 28, 2020
The recently released report entitled Global Commerce Artificial Intelligence Market 2020 by Company, Type and Application, Forecast to 2025 is a compilation of factual and critical market data about the market. The report underlines a host of factors that are influencing the performance of the market. The report sheds light on a deep-dive understanding of the market scenario, as well as thorough and extensive market insights. The research endows you with absolute insights and awareness of the greatest market opportunities available within the global Commerce Artificial Intelligence market. This ultimately helps for successful business growth which can be accomplished only with such an excellent market research report. The report showcases an all-embracing study about production capacity, consumption, import, and export for all the key regions across the world.
Key Market Players Analysis:
The report offers details of key market players. It also sheds light on competition structure analysis of the global Commerce Artificial Intelligence market that provides valuable information about the prominent companies operating in the industry, along with their financial status, revenue share contribution, key developmental strategies, growth milestones, key offerings, and market positioning. Vital tools such as SWOT and Porter’s five forces analysis have been employed to measure the trajectory of these companies. Analysts have meticulously studied the changing pattern of technology, upcoming innovation, investments made by players in research and development.
NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.
DOWNLOAD FREE SAMPLE REPORT: https://www.marketsandresearch.biz/sample-request/88816
The major competitive players that are included for the global Commerce Artificial Intelligence market in the report are: Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG, MediaTek, Qualcomm Technologies, SoundHound, Microsoft, Apple, ANKI, Alphabet
Geographically, the report is segmented into the major regions of the world with regards to production and consumption patterns, import/export, market share, revenue contribution, growth rate, and supply and demand ratio for the forecast period 2020-2025. The key regions analyzed in the global Commerce Artificial Intelligence market are 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, etc.), Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa).
On the basis of product, this report displays: Deep Learning, Machine Learning, Natural Language Processing
On the basis of the end users/applications, this report focuses on: Customer Relationship Management, Internet of Things (IoT), Supply Chain Analysis, Warehouse Automation, Ecommerce Marketing
Reasons To Purchase The Global Market Report:
The report covers innovative market development trends and marketing channels. Overall global Commerce Artificial Intelligence market feasibility and growth rate over the foreseeable time is concluded. The report contains a study on development policies & plans, manufacturing processes, and gives a better idea about import/export consumption, supply & demand, pricing, revenue, and gross margins. Competitive landscape and demographic analysis provide a clear picture of the market status on the international platform.
ACCESS FULL REPORT: https://www.marketsandresearch.biz/report/88816/global-commerce-artificial-intelligence-market-2020-by-company-type-and-application-forecast-to-2025
Components of The Market report:
A detailed assessment of all opportunities and risk in this global Commerce Artificial Intelligence market
Recent innovations and major events
Conclusive study about the growth plot of the industrial market for the upcoming years
Understanding of industry-particular drivers, constraints, and major micro-markets in detail
An evident impression of vital technological and latest market trends striking the market
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. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements.
Contact Us
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TagsCommerce Artificial Intelligence Market Global Commerce Artificial Intelligence Industry 2020 Global Commerce Artificial Intelligence Market 2020 Global Commerce Artificial Intelligence Market Detailed Analysis Global Commerce Artificial Intelligence Market Forecast Global Commerce Artificial Intelligence Market Growth Global Commerce Artificial Intelligence Market Outlook Global Commerce Artificial Intelligence Market Share
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| Global Commerce Artificial Intelligence Market 2020 Future Scenario | Global Commerce Artificial Intelligence Market 2020 Future Scenario Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG re:Jerusalem Wednesday, October 28 2020 Trending Airflow Measurement Solution Market Projected Experience Major Revenue Boost During Period Between 20202025 Environment Monitoring System Market 2020 Industry Analysis, Segments, Value Chain Key Trends 2025 Modular Cleanroom System Market 2020COVID19 Analysis, Download Analysis Analysis Problems Abtech, Allied Modular, Terra Universal, AES CLEAN TECHNOLOGY Detailed Report Ambulatory Surgical Centers ASCs Market 2020 Trends, Shares, Forecasts 2025 Turf Protection Systems Market Share, Trends, Business Strategy, Future Prospects 2025 Forecast Indepth research Panelized Building Systems Market 2020 Strategic Evaluation Top Players Algeco Scotsman, Kingspan Timber Solutions, Frame Homes UK, Champion Home Builders . Panelized Modular Building System MarketCurrent Impact Major Changes Global Medical Ultrasonic Cleaners Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 Global Fully Automatic Thermoforming Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 Global Industrial EDI Ultrapure Water System Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 Sidebar Log In Random Article re:Jerusalem Business Health Industries International LIfestyle SciTech Sports Publish PRs HomeBusinessGlobal Commerce Artificial Intelligence Market 2020 Future Scenario Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG Business Global Commerce Artificial Intelligence Market 2020 Future Scenario Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG david October 28, 2020 The recently released report entitled Global Commerce Artificial Intelligence Market 2020 Company, Type Application, Forecast 2025 compilation factual critical market data market. The report underlines host factors influencing performance market. The report sheds light deepdive understanding market scenario, thorough extensive market insights. The research endows absolute insights awareness greatest market opportunities available global Commerce Artificial Intelligence market. This ultimately helps successful business growth accomplished excellent market research report. The report showcases allembracing study production capacity, consumption, import, export key regions world. Key Market Players Analysis: The report offers details key market players. It sheds light competition structure analysis global Commerce Artificial Intelligence market provides valuable information prominent companies operating industry, financial status, revenue share contribution, key developmental strategies, growth milestones, key offerings, market positioning. Vital tools SWOT Porters forces analysis employed measure trajectory companies. Analysts meticulously studied changing pattern technology, upcoming innovation, investments players research development. NOTE: Our analysts monitoring situation globe explains market generate remunerative prospects producers post COVID19 crisis. The report aims provide additional illustration latest scenario, economic slowdown, COVID19 impact overall industry. DOWNLOAD FREE SAMPLE REPORT: The major competitive players included global Commerce Artificial Intelligence market report are: Huawei Technologies, AIBrain, NVIDIA Corporation, SAMSUNG, MediaTek, Qualcomm Technologies, SoundHound, Microsoft, Apple, ANKI, Alphabet Geographically, report segmented major regions world regards production consumption patterns, importexport, market share, revenue contribution, growth rate, supply demand ratio forecast period 20202025. The key regions analyzed global Commerce Artificial Intelligence market North America United States, Canada Mexico, Europe Germany, France, UK, Russia Italy, AsiaPacific China, Japan, Korea, India Southeast Asia, South America Brazil, Argentina, etc., Middle East Africa Saudi Arabia, Egypt, Nigeria South Africa. On basis product, report displays: Deep Learning, Machine Learning, Natural Language Processing On basis end usersapplications, report focuses on: Customer Relationship Management, Internet Things IoT, Supply Chain Analysis, Warehouse Automation, Ecommerce Marketing Reasons To Purchase The Global Market Report: The report covers innovative market development trends marketing channels. Overall global Commerce Artificial Intelligence market feasibility growth rate foreseeable time concluded. The report contains study development policies plans, manufacturing processes, gives better idea importexport consumption, supply demand, pricing, revenue, gross margins. Competitive landscape demographic analysis provide clear picture market status international platform. ACCESS FULL REPORT: Components The Market report: A detailed assessment opportunities risk global Commerce Artificial Intelligence market Recent innovations major events Conclusive study growth plot industrial market upcoming years Understanding industryparticular drivers, constraints, major micromarkets An evident impression vital technological latest market trends striking market Customization Report: This report customized meet clients requirements. Please connect sales team sales ensure report suits needs. You touch executives 12014654211 share research requirements. Us Mark Stone Head Business Development Phone: 12014654211 Email: sales Web: TagsCommerce Artificial Intelligence Market Global Commerce Artificial Intelligence Industry 2020 Global Commerce Artificial Intelligence Market 2020 Global Commerce Artificial Intelligence Market Detailed Analysis Global Commerce Artificial Intelligence Market Forecast Global Commerce Artificial Intelligence Market Growth Global Commerce Artificial Intelligence Market Outlook Global Commerce Artificial Intelligence Market Share Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print david Related Articles October 19, 2020 30 Global PV Photovoltaics Market Data Analysis 20202026 : Yingli Green China, Trina Solar China, Sharp Corporation Japan October 23, 2020 9 Global Integrated Cooker Hoods Market Manufacturers, Types, Regions Application Research Report Forecast 2026 October 12, 2020 5 Research Report Aircraft Landing Gear Market Share Revenue Growth Rate rease During Forecast Year 20202026 October 9, 2020 1 Global Fibrinogen Concentrates Market Industry Analysis Forecast 20202027by Type, Application, Region Check Also Close Cell Culture Market reasing Demand Generate Huge Profits 2019 2026 October 13, 2020 Recent Posts October 28, 2020 Global Medical Ultrasonic Cleaners Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Fully Automatic Thermoforming Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Industrial EDI Ultrapure Water System Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Mask Inspection Equipment Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Tetramethyl Ammonium Hydroxide Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Zirconium Target Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global EDM wire consumable Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Hollow Fiber Dialyzer Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Intelligent Power Modules IPM Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global IC Substrate Market share, size 2020 emerging rapidly latest trends, growth, revenue, demand forecast 2025 October 28, 2020 Global Solar Powered Vehicle Market 2020 Future Scenario Daimler, Nissan, Volkswagen, Ford Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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] | 1 | 2,142 |
https://road.cc/content/news/dubai-deploy-ai-tech-identify-cyclists-without-helmets-287155 | 2021-10-18T00:00:00 | en | Dubai to deploy artificial intelligence tech to identify cyclists riding without helmets | road.cc |
Dubai to deploy artificial intelligence tech to identify cyclists riding without helmets | road.cc
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Dubai to deploy artificial intelligence tech to identify cyclists riding without helmets
Technology will also be able to assess capacity of cycle tracks and speed of riders
by
Simon_MacMichael
Mon, Oct 18, 2021 12:38
9
Dubai is to deploy artificial intelligence (AI) systems on cycle tracks in the emirate which, among other things, will be able to identify cyclists riding without helmets, which are compulsory there.
The technology has been developed for the emirate’s Roads and Transport Authority (RTA) by local company Evoteq, which is also involved in areas such as surveillance and facial recognition.
It is being showcased as a proof of concept, including through a live demonstration, at the RTA’s stand at GITEX Technology Week 2021, currently taking place in Dubai.
The first deployment of the technology has taken place at the Nad al Sheba cycle track, and besides being able to detect whether a rider is wearing a helmet, it will also be able to determine capacity and riding speeds.
Mohammed Yousuf Al Mudharreb, CEO of RTA’s Corporate Technology Support Services Sector, said, “In designing the Smart Cycling Track, next-generation technologies such as the Internet of Things (IoT) and artificial intelligence have been used.
“The data gathered by this high-tech AI enabled platform will be leveraged to detect cyclists, joyriders, including joggers, and scooter riders, on the track and determine the current track occupancy.
“The smart solution also identifies the speed at which the cyclists are traveling and detects if they are wearing a helmet.
“Moreover, further trend analysis will allow the collected data to predict and prevent critical cycling incidents like crowded tracks and accidents, and alert authorities of increased risk conditions based on the collected data.”
He continued: “With the city’s aim of becoming the most cycling friendly city, the use of next-generation technologies is essential as cycling is not only a sport but also a vital link to serve first and last mile mobility needs.
“Technology today is a vital tool to enhance mobility means and make it smart and safe meets RTA’s vision; ‘The world leader in seamless & sustainable mobility’, he added.
As of the end of last year, Dubai had built nearly 500 kilometres of segregated cycle tracks and aims to increase that to 739 kilometres by 2026, with the aim of linking key locations in the emirate with public transport links.
Evoteq’s CEO, Jihad Tayara, said: “Throughout the first phase of the PoC implementation, we focused on the utilisation of the latest AI and IoT technologies to validate the viability of the solution by building and testing four key features: cyclist detection, helmet detection, speed and total occupancy.
“As a following step, we've developed an extended project roadmap for the complete track journey for cyclists, which aims to improve their safety and experience.
“In Dubai, the solution will help boost the government’s efforts to make the emirate a bicycle-friendly city, as well as promote cycling as a form of sport and fitness activity,” he added.
“We are committed to supporting the government’s road safety initiatives, in line with the vision of our wise leadership.”
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dubaiartifiical intelligencehelmet compulsion
Simon MacMichael
Simon has been news editor at road.cc since 2009, reporting on 10 editions and counting of pro cycling’s biggest races such as the Tour de France, stories on issues including infrastructure and campaigning, and interviewing some of the biggest names in cycling. A law and languages graduate, published translator and former retail analyst, his background has proved invaluable in reporting on issues as diverse as cycling-related court cases, anti-doping investigations, and the bike industry. He splits his time between London and Cambridge, and loves taking his miniature schnauzer Elodie on adventures in the basket of her Elephant Bike.
Latest Comments
capedcrusader
0 sec ago
Just had a look at the AB rear deraileur on their website, the biggest claim, and the one I find most impressive is the noise reduction which is a...
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Simon E
9 min 53 sec ago
Based on other sources, I would have to disagree strongly with that assertion, and the link is really just an opinion piece. Zzzzzz.......
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kingleo
25 min 20 sec ago
Motorists are not allowed ( theoretical) to drive fast, because they do nearly all the killing and injuring.
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Sniffer
24 min 33 sec ago
Presumed liability is for civil not criminal cases in any jurisdiction that has it....
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kingleo
38 min 59 sec ago
Good idea - I wear a motorcycle helmet all the time, even at home - you never know, it might save my life.
in: Dubai to deploy AI tech to identify cyclists without helmets
Prosper0
1 hour 5 min ago
I have both AXS Force and a traditional Sram Force hydro setup. ...
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eburtthebike
1 hour 23 min ago
I thought it was the Garda who didn't give a feck.
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Well, it's not a wrong choice to favour performance over durability and as you say, you'll know what to look out for now.
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2 hours 27 min ago
If you were to stop and give way to the lorry where is the only sensible place to do so?...
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3 hours 28 min ago
There's a helmet joke in there somewhere, but I'm leaving well alone.
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The technology developed emirates Roads Transport Authority RTA local company Evoteq, involved areas surveillance facial recognition. It showcased proof concept, including live demonstration, RTAs stand GITEX Technology Week 2021, currently taking place Dubai. The deployment technology taken place Nad al Sheba cycle track, able detect rider wearing helmet, able determine capacity riding speeds. Mohammed Yousuf Al Mudharreb, CEO RTAs Corporate Technology Support Services Sector, said, In designing Smart Cycling Track, nextgeneration technologies Internet Things IoT artificial intelligence used. The data gathered hightech AI enabled platform leveraged detect cyclists, joyriders, including joggers, scooter riders, track determine current track occupancy. The smart solution identifies speed cyclists traveling detects wearing helmet. Moreover, trend analysis allow collected data predict prevent critical cycling incidents like crowded tracks accidents, alert authorities increased risk conditions based collected data. He continued: With citys aim cycling friendly city, use nextgeneration technologies essential cycling sport vital link serve mile mobility needs. Technology today vital tool enhance mobility means smart safe meets RTAs vision; The world leader seamless sustainable mobility, added. As end year, Dubai built nearly 500 kilometres segregated cycle tracks aims increase 739 kilometres 2026, aim linking key locations emirate public transport links. Evoteqs CEO, Jihad Tayara, said: Throughout phase PoC implementation, focused utilisation latest AI IoT technologies validate viability solution building testing key features: cyclist detection, helmet detection, speed total occupancy. As following step, weve developed extended project roadmap complete track journey cyclists, aims improve safety experience. In Dubai, solution help boost governments efforts emirate bicyclefriendly city, promote cycling form sport fitness activity, added. We committed supporting governments road safety initiatives, line vision wise leadership. Help fund site Weve noticed youre ad blocker. If like road.cc, dont like ads, consider subscribing site support directly. As subscriber read road.cc adfree, little 1.99. If dont want subscribe, turn ad blocker off. The revenue adverts helps fund site. Continue Reading Help bring best cycling content If youve enjoyed article, consider subscribing road.cc little 1.99. Our mission bring news thats relevant cyclist, independent reviews, impartial buying advice more. Your subscription help more. dubaiartifiical intelligencehelmet compulsion Simon MacMichael Simon news editor road.cc 2009, reporting 10 editions counting pro cyclings biggest races Tour France, stories issues including infrastructure campaigning, interviewing biggest names cycling. A law languages graduate, published translator retail analyst, background proved invaluable reporting issues diverse cyclingrelated court cases, antidoping investigations, bike industry. He splits time London Cambridge, loves taking miniature schnauzer Elodie adventures basket Elephant Bike. Latest Comments capedcrusader 0 sec ago Just look AB rear deraileur website, biggest claim, I impressive noise reduction a... in: Five cool things coming soon road.cc Simon E 9 min 53 sec ago Based sources, I disagree strongly assertion, link opinion piece. Zzzzzz....... in: Cycling live blog 18 October 2021 kingleo 25 min 20 sec ago Motorists allowed theoretical drive fast, nearly killing injuring. in: Farmer attacked cyclist billhook wasnt cycle lane Sniffer 24 min 33 sec ago Presumed liability civil criminal cases jurisdiction it.... in: Driver recall fatal crash acquitted kingleo 38 min 59 sec ago Good idea I wear motorcycle helmet time, home know, save life. in: Dubai deploy AI tech identify cyclists helmets Prosper0 1 hour 5 min ago I AXS Force traditional Sram Force hydro setup.... in: SRAM Rvial AXS Questions eburtthebike 1 hour 23 min ago I thought Garda didnt feck. in: Police chief admits force mishandled investigation Texas HoarseMann 1 hour 39 min ago Well, wrong choice favour performance durability say, youll know look now. in: PSA creak needs investigated Rich_cb 2 hours 27 min ago If stop way lorry sensible place so?... in: NMotD 644: Skip lorry driver hits cyclists Steve K 3 hours 28 min ago Theres helmet joke somewhere, Im leaving alone. in: Cyclist impaled bikes handlebars freak crash Most Popular News 1 She frozen time Father pays emotional tribute daughter killed unlicenced HGV driver 2 Police chief admits force mishandled investigation teen truck driver hit cyclists 3 Coroner criticised claiming practical prevent repeat fatal collision 4 Near Miss Day 644: Skip lorry driver hits cyclists 5 Man stops help stranger fix bike realises stolen 6 Bespoked 2021: huge gallery stunning bikes UKs handbuilt bike celebrates 10th anniversary 7 Farmer attacked cyclist billhook road rage row cycle lane 8 Two half second cycle lane cycle lane, says council Best Cycling Website, BikeBiz Awards 2018 QUICK LINKS News Reviews Buyers Guides Features Tech Deals Forum Blogs Opinion Events Shop Health Fitness Travel FOLLOW US ON Facebook Twitter Youtube RSS Instagram Our Websites off.road.cc ebiketips.road.cc deals.road.cc GET IN TOUCH Editorial, general: info [at] road.cc Tech, reviews: tech [at] road.cc Fantasy Cycling: game [at] road.cc Advertising, commercial: sales [at] road.cc View media pack Report advert road.cc Support All material FarrellyAtkinson FAt Limited, Unit 7b Green Park Station BA11JB. 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https://satprnews.com/2023/03/30/parrot-anafi-ai-drone-drones/ | 2023-03-30T00:00:00 | en | Parrot ANAFI Ai Drone – Drones – Satellite Internet & Phones |
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| Parrot ANAFI Ai Drone | Parrot ANAFI Ai Drone Drones Satellite Internet Phones Skip content Satellite Internet Phones Space Reports AirGen Parrot ANAFI Ai Drone Drones The 4G robotic UAV Parrot ANAFI Ai Drone Drones New, unused product, available immediately online store. Drones Cameras Opticsop Parrot ANAFI Ai Drone Drones available store ts2.shop 4000.00 USD Parrot US = 123.00 USD Buy Poland Ukraine. We ship products Ukraine => Kyiv, Odesa, Dnipro, Kryvyi Rih, Zaporizhzhia, Lviv, Chernivtsi, Khmelnytskyi, Zhytomyr, Vinnytsia, Chernihiv, Cherkassy, Mykolaiv, Poltava, Sumy cities. Author adminPosted March 30, 2023Categories Drones Post navigation Previous Previous post: Pix4Dsurvey 1 month floating 1 device license DronesNext Next post: AY000307A01 Motorola Replacement Cable Heavy Duty headset VHFUHF for: Recent Posts Infiray C Series CL42 Thermal Imaging ClipOn Optics Bushnell Legend 3940 Illuminated Riflescope Reticle MultiX Illuminated Optics AY000307A01 Motorola Replacement Cable Heavy Duty headset VHFUHF Parrot ANAFI Ai Drone Drones Pix4Dsurvey 1 month floating 1 device license Drones CK03S Hytera Car Kit Simplified Version VHFUHF AGM PVS1451 NL2I night vision monocular Optics Terminal Intellian v65Xpol 8W ext. Intellian Andres Thunder TH35C thermal clipon device Optics AGM Front QR adapter Rattler TC35 : ARM5250 Optics Internet satelitarny w Mauretanii Source: Kosmiczne informacje Published 20230330 Co jest takiego specjalnego w telefonach satelitarnych? Source: Kosmiczne informacje Published 20230330 Satellite Internet Phones Proudly powered WordPress | 2,023 | [
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https://satprnews.com/2023/06/27/advantages-of-using-openai-for-natural-resource-management/ | 2023-06-27T00:00:00 | en | Advantages of using OpenAI for Natural Resource Management – satPRnews |
Advantages of using OpenAI for Natural Resource Management – satPRnews
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Advantages of using OpenAI for Natural Resource Management
As the world’s population continues to grow, the demand for natural resources such as water, food, and energy has increased. However, the management of these resources has become increasingly complex due to climate change, urbanization, and other factors. In recent years, there has been a growing interest in using artificial intelligence (AI) to manage natural resources more effectively. One of the most promising AI technologies for natural resource management is OpenAI.
OpenAI is an open-source platform that provides developers with access to powerful AI tools and algorithms. It was founded in 2015 by a group of tech luminaries, including Elon Musk and Sam Altman, with the goal of creating safe and beneficial AI. OpenAI has since become a leader in the field of AI research and development, and its tools are being used in a wide range of applications, including natural resource management.
One of the main advantages of using OpenAI for natural resource management is its ability to process large amounts of data quickly and accurately. Natural resource management involves collecting and analyzing data from a variety of sources, including satellite imagery, weather data, and sensor networks. OpenAI’s machine learning algorithms can analyze this data in real-time, identifying patterns and trends that would be difficult or impossible for humans to detect.
Another advantage of OpenAI is its ability to make predictions and recommendations based on data analysis. For example, OpenAI can predict how much water will be needed for a particular crop based on weather data and soil moisture levels. It can also recommend the best time to plant or harvest crops based on historical data and weather forecasts. These predictions and recommendations can help natural resource managers make more informed decisions, reducing waste and increasing efficiency.
OpenAI can also be used to optimize natural resource management systems. For example, it can be used to optimize irrigation systems to reduce water waste and improve crop yields. It can also be used to optimize energy systems, such as wind turbines and solar panels, to maximize energy production and reduce costs. By optimizing natural resource management systems, OpenAI can help reduce the environmental impact of resource extraction and use.
In addition to these benefits, OpenAI can also help natural resource managers identify and mitigate risks. For example, it can be used to predict the likelihood of natural disasters, such as floods and wildfires, and to develop strategies to mitigate their impact. It can also be used to identify areas of high biodiversity or ecological importance, helping natural resource managers prioritize conservation efforts.
Despite these benefits, there are also some challenges associated with using OpenAI for natural resource management. One of the main challenges is the need for high-quality data. OpenAI’s machine learning algorithms rely on large amounts of high-quality data to make accurate predictions and recommendations. Natural resource managers must ensure that the data they collect is accurate, reliable, and up-to-date.
Another challenge is the need for skilled personnel. OpenAI is a complex technology that requires specialized knowledge and skills to use effectively. Natural resource managers must invest in training and development to ensure that their staff have the skills and knowledge needed to use OpenAI effectively.
In conclusion, OpenAI has the potential to revolutionize natural resource management by providing natural resource managers with powerful tools for data analysis, prediction, and optimization. By using OpenAI, natural resource managers can make more informed decisions, reduce waste, and increase efficiency. However, the successful use of OpenAI for natural resource management requires high-quality data and skilled personnel. With the right investments in data and personnel, OpenAI can help us manage our natural resources more effectively and sustainably.
Author adminPosted on June 27, 2023
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| Advantages of using OpenAI for Natural Resource Management | Advantages OpenAI Natural Resource Management satPRnews Skip content satPRnews Space AI Reports Menu News Advantages OpenAI Natural Resource Management As worlds population continues grow, demand natural resources water, food, energy increased. However, management resources increasingly complex climate change, urbanization, factors. In recent years, growing artificial intelligence AI manage natural resources effectively. One promising AI technologies natural resource management OpenAI. OpenAI opensource platform provides developers access powerful AI tools algorithms. It founded 2015 group tech luminaries, including Elon Musk Sam Altman, goal creating safe beneficial AI. OpenAI leader field AI research development, tools wide range applications, including natural resource management. One main advantages OpenAI natural resource management ability process large amounts data quickly accurately. Natural resource management involves collecting analyzing data variety sources, including satellite imagery, weather data, sensor networks. OpenAIs machine learning algorithms analyze data realtime, identifying patterns trends difficult impossible humans detect. Another advantage OpenAI ability predictions recommendations based data analysis. For example, OpenAI predict water needed particular crop based weather data soil moisture levels. It recommend best time plant harvest crops based historical data weather forecasts. These predictions recommendations help natural resource managers informed decisions, reducing waste increasing efficiency. OpenAI optimize natural resource management systems. For example, optimize irrigation systems reduce water waste improve crop yields. It optimize energy systems, wind turbines solar panels, maximize energy production reduce costs. By optimizing natural resource management systems, OpenAI help reduce environmental impact resource extraction use. In addition benefits, OpenAI help natural resource managers identify mitigate risks. For example, predict likelihood natural disasters, floods wildfires, develop strategies mitigate impact. It identify areas high biodiversity ecological importance, helping natural resource managers prioritize conservation efforts. Despite benefits, challenges associated OpenAI natural resource management. One main challenges need highquality data. OpenAIs machine learning algorithms rely large amounts highquality data accurate predictions recommendations. Natural resource managers ensure data collect accurate, reliable, uptodate. Another challenge need skilled personnel. OpenAI complex technology requires specialized knowledge skills use effectively. Natural resource managers invest training development ensure staff skills knowledge needed use OpenAI effectively. In conclusion, OpenAI potential revolutionize natural resource management providing natural resource managers powerful tools data analysis, prediction, optimization. By OpenAI, natural resource managers informed decisions, reduce waste, increase efficiency. However, successful use OpenAI natural resource management requires highquality data skilled personnel. With right investments data personnel, OpenAI help manage natural resources effectively sustainably. Author adminPosted June 27, 2023 Post navigation Previous Previous post: The Impact Starlink Zhoushan, ZhoushanNext Next post: Starlink Ukraine: A Step Forward Digital Innovation for: Recent Posts Starlink: Revolutionizing Internet Connectivity Goiania, Goinia Starlinks Impact Internet Access Slovakia Starlink: Revolutionizing Connectivity Germany Blog Topic: A Comprehensive Guide Reliable Secure Satellite Connectivity IoT Applications Inmarsat M2M OpenAIs Contributions Healthcare Innovation Starlink: Bringing HighSpeed Internet Erbil, Erbil Exploring Features Yuneec ETX FLIR Camera H520EH850 How IoT Technology Revolutionizing Disaster Response Recovery Efforts Advantages Using Satellites SpaceBased Energy Resource Management Benefits DJI Phantom 4 Series Propeller Mounting Plate News satPRnews Who Proudly powered WordPress | 2,023 | [
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https://sciencein.me/2020/04/11/excellent-growth-of-ai-sales-assistant-software-market-key-players-conversica-drift-clari-salesdirector-ai-x-ai-troops-cien-saleswhale-zia-amplemarket-tact-ai-nudge-ai-exceed-ai/ | 2020-04-11T00:00:00 | en | Excellent Growth of AI Sales Assistant Software Market Key Players- Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai – Science In Me |
Excellent Growth of AI Sales Assistant Software Market Key Players- Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai – Science In Me
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Excellent Growth of AI Sales Assistant Software Market Key Players- Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai
By [email protected] on April 11, 2020
reportsandmarkets.com adds “Global AI Sales Assistant Software Industry, 2019 Market Research Report” new report to its research database.
Global AI Sales Assistant Software Research Report 2019 to 2025 presents an in-depth assessment of the AI Sales Assistant Software including enabling technologies, key trends, market drivers, challenges, standardization, AI Sales Assistant Software, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for AI Sales Assistant Software Investments from 2019 till 2025.
AI Sales Assistant Software market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including
Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai
Request a sample copy at https://www.reportsandmarkets.com/sample-request/global-ai-sales-assistant-software-market-size-status-and-forecast-2019-2025?utm_source=sciencein&utm_medium=vishal
AI Sales Assistant Software market continues to evolve and expand in terms of the number of companies, products, and applications that illustrate the growth perspectives. The report also covers the list of Product range and Applications with SWOT analysis, CAGR value, further adding the essential business analytics.AI Sales Assistant Software market research analysis identifies the latest trends and primary factors responsible for market growth enabling the Organizations to flourish with much exposure to the markets.
The ‘Global AI Sales Assistant Software Industry, 2013-2025 Market Research Report’ is a professional and in-depth study on the current state of the global AI Sales Assistant Software industry with a focus on the Chinese market. The report provides key statistics on the market status of the AI Sales Assistant Software manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. Firstly, the report provides a basic overview of the industry including its definition, applications and manufacturing technology. Then, 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 2013-2019 market shares for each company. Through the statistical analysis, the report depicts the Global total market of AI Sales Assistant Software 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
Enquiry copy at https://www.reportsandmarkets.com/enquiry/global-ai-sales-assistant-software-market-size-status-and-forecast-2019-2025?utm_source=sciencein&utm_medium=vishal
The report then estimates 2019-2025 market development trends of AI Sales Assistant Software industry. 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 AI Sales Assistant Software Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of 2013-2025 Global AI Sales Assistant Software industry covering all important parameters
Any special requirements about this report, please let us know and we can provide custom report.
The AI Sales Assistant Software market research report completely covers the vital statistics of the capacity, production,value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.
Key questions answered in this report
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Author Recent Posts [email protected] Latest posts by [email protected] (see all) Excellent Growth of AI Sales Assistant Software Market Key Players- Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai - April 11, 2020 Tax Audit Services Market Will Grow at a Healthy With Top Key Players – PwC, Deloitte, Ernst & Young, KPMG, BDO USA, Grant Thornton India LLP - April 11, 2020 Global Over-The-Top (OTT) Streaming Video Services Market Growth Evaluation 2020-2026 | Top Key Players are Amazon Inc., Twitter Inc., Netflix, Inc., Facebook, Inc., Dropbox, Inc., Google, Inc., - April 11, 2020
Published in Technology AI Sales Assistant Software GrowthAI Sales Assistant Software IndustryAI Sales Assistant Software MarketAI Sales Assistant Software Market OpportunitiesAI Sales Assistant Software Market ReviewAI Sales Assistant Software ShareAI Sales Assistant Software SizeAI Sales Assistant Software Trends
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| Excellent Growth of AI Sales Assistant Software Market Key Players- Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai | Excellent Growth AI Sales Assistant Software Market Key Players Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai Science In Me Press Enter skip content Science In Me Our Writers Us Science In MeApril 11, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Excellent Growth AI Sales Assistant Software Market Key Players Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai By [emailprotected] April 11, 2020 addsGlobal AI Sales Assistant Software Industry, 2019 Market Research Reportnew report research database. GlobalAI Sales Assistant Software Research Report 2019 2025 presentsan indepth assessment AI Sales Assistant Software including enabling technologies, key trends, market drivers, challenges, standardization, AI Sales Assistant Software, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles strategies. The report presents forecasts AI Sales Assistant Software Investments 2019 till 2025. AI Sales Assistant Software market competition manufacturers, production, price, revenue value market share manufacturer; players including Conversica, Drift, Clari, SalesDirector.ai, X.ai, Troops, Cien, Saleswhale, Zia, Amplemarket, Tact.ai, Nudge.ai, Exceed.ai Request sample copy AI Sales Assistant Software marketcontinues evolve expand terms number companies, products, applications illustrate growth perspectives. The report covers list Product range Applications SWOT analysis, CAGR value, adding essential business analytics.AI Sales Assistant Software market research analysis identifies latest trends primary factors responsible market growth enabling Organizations flourish exposure markets. TheGlobal AI Sales Assistant Software Industry, 20132025 Market Research Reportis professional indepth study current state global AI Sales Assistant Software industry focus Chinese market. The report provides key statistics market status AI Sales Assistant Software manufacturers valuable source guidance direction companies individuals interested industry. Firstly, report provides basic overview industry including definition, applications manufacturing technology. Then, report explores international Chinese major industry players detail. In part, report presents company profile, product specifications, capacity, production value, 20132019 market shares company. Through statistical analysis, report depicts Global total market AI Sales Assistant Software industry including capacity, production, production value, costprofit, supplydemand Chinese importexport. The total market divided company, country, applicationtype competitive landscape analysis Enquiry copy The reportthen estimates 20192025 market development trends AI Sales Assistant Softwareindustry. Analysis upstream raw materials, downstream demand, current market dynamics carried out. In end, report makes important proposals new project AI Sales Assistant Software Industry evaluating feasibility. Overall, report provides indepth insight 20132025 Global AI Sales Assistant Software industry covering important parameters Any special requirements report, let know provide custom report. The AI Sales Assistant Software market research report completely covers vital statistics capacity, production,value, costprofit, supplydemand importexport, divided company country, applicationtype best possible updated data representation figures, tables, pie chart, graphs. These data representations provide predictive data future estimations convincing market growth. The detailed comprehensive knowledge publishers makes box case market analysis. Key questions answered report What key market trends? What driving market? What challenges market growth? Who key vendors market space? : comprehensive collection market research products services Web. We offer reports publishers update collection daily basis provide instant online access worlds complete recent database expert insights Global industries, organizations, products, trends. 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https://seekingalpha.com/article/4456622-nxp-semiconductors-n-v-nxpi-management-on-evercore-isi-autotech-and-ai-forum-conference | 2022-07-10T00:00:00 | en | NXP Semiconductors N.V. (NXPI) Management on Evercore ISI Autotech & AI Forum Conference (Transcript) | Seeking Alpha | NXP Semiconductors N.V. (NXPI) Management on Evercore ISI Autotech & AI Forum Conference (Transcript) | Seeking Alpha Seeking Alpha - Go to HomepageTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationTranscriptsTechnologyNXP Semiconductors N.V. (NXPI) Management on Evercore ISI Autotech & AI Forum Conference (Transcript)Sep. 22, 2021 4:47 PM ETNXP Semiconductors N.V. (NXPI)SA Transcripts128.22K FollowersFollowNXP Semiconductors N.V. (NASDAQ:NXPI) Evercore ISI Autotech & AI Forum Conference September 22, 2021 11:45 AM ET Company Participants Henri Ardevol - SVP, Auto Conference Call Participants C.J. Muse - Evercore ISI C.J. Muse Good morning, good afternoon. Thank you for joining Evercore ISI's Autotech & AI Forum. My name is C.J. Muse, Semiconductor Analyst here. Very pleased to be hosting NXP Semiconductors. With us today we have Henri Ardevol, SVP, GM of Auto Processing and Jeff Palmer, Vice President, Investor Relations. We've got I think, 35 minutes of fireside chat. And so warm welcome to Henri. Thank you. Thank you for joining us. Henri Ardevol Thank you, C.J. Looking forward. Question-and-Answer Session Q - C.J. Muse Excellent. So, just to start off big picture, you've embarked on a strategy to push the automotive processing market to one with domain zonal controllers. Can you speak to what's driving the platform-based approach? And why NXP is the company capable of providing the right solution for this evolution? Henri Ardevol Yes, absolutely. So, yes, I mean, a few years back already, I think about four years ago, we recognized that vehicle software and networking requirements would outpace the traditional MCUs. And so we began to refresh our portfolio to try to meet anticipate these trends. And they really have gone into two directions; on one side, to go to a class of processes, which is much more performance and that allows to migrate the strategy of the management of all of the different sources of power and talk in new vehicles, with hybrid cars and now, it is a much more complicated management. And when we had just the single engine and the single source of power, integrate the behavior of the car with the chassis management, and do these in ways to optimize the range, to optimize the experience of the car. And on one side, also recognizing that there's more and more gadgets that are coming, more and more features that are coming into the car. Just briefly before, we're talking about, a steering wheel, and how a steering wheel today has so many different switches and displays and controls. And all of those require a class of microcontrollers that are much more low power and are able to be plugged into these new architectures without taxing it too much. So, there's big shifts, big changes, which are taking place and in the mind of the OEMs, they really have two kinds of problems that they are trying to solve. On one side, how do they simplify the software, because you have so many more requirements, you have so many more features that you're trying to cram in, that it becomes very hard to integrate all of those and to verify and validate that the system continues to function. And on another side, how do you simplify the wiring and just the physical connectivity of all of these additional functions that you want to have in the car? How do you not have multiple networks stacked on top of each other and have at the end a physical topology, which is physically manageable, and also, frankly, which is cost-effective? And so when you move -- when you think about these migrations to a higher class of processors, they actually do help a lot with software in terms of integrating the management of it. And when you think of these much more entrepreneurial power and nodes, they also plug in in a much easier way into your network and then, I'm sure we'll talked about it, as also evolutions into the physical topology of the car. So, some big shifts are taking place there and some big problems that the OEMs are trying to solve and we've done our best to try to anticipate and semiconductors, we need to try to spot the trends many years in advance and we've taken some bold decisions, and we're now seeing through a lot of the conversations with OEMs, that -- it's very much in the direction that they're looking for. C.J. Muse So, when we discussed some of the challenges here, I think some of the largest ones were integration, access to data and software. And so perhaps you could walk through each of those and how you've come up with a solution that provides the right solution at the right time for automakers. Henri Ardevol Yes, sure. So, yes, I mean if we start with software, right now we are moving from hundreds of millions of lines of codes, which is already huge towards 1 billion lines of code by 2030. And so that presents massive challenges in terms of making sure that as I was saying, the system is verifiable and the core attributes that a consumer expects from a call of -- it is going to be robust, it is going to be safe, it is going to be reliable, it's not going to break down, it's going to have a high quality, and it's not going to get attacked, it has a high degree of security. Those key expectations from consumers, I would say, not only continue to exist, but actually are even stronger now, because everybody is more aware of the risks. And so the -- this poses an additional level of challenge onto the software architecture, which is to meet all of this in a very robust way. And so the way that the industry is moving and how we are responding to it is by finding -- by defining domains, which are -- which go across the entire vehicle. And so those domains would be your propulsion, how the car moves and stops, your chassis management, how the car behaves, networking, how you manage all of the flow of data that goes across the car, how do you ensure the security of it, how do you distribute and manage the privileges of that, and also how you connect to the external world. And finally, body, which is the connectivity of all of these different controllers that you have inside the car. So, each one of those areas becomes then a domain that you want to start to manage as a whole. And this is where you start to want to have in order to realize that category of processors, which is much more performant than just a single microcontroller that route to a single function. And in order to have those processes at that right performance level, you need a few things. On the one side, they need to move to much more of the leading edge in terms of technology. And so this is why we moved our entire portfolio to FinFET to 16 FinFET right now. And we are even collaborating with TSMC to make 5 nanometer automotive qualified. So, we're taking the right steps in terms of technology to have one which is going to be future-proof and is going to have new attributes of performance and power which are required. But then on the design of the chip, because they're going to be managing an entire domain, they need to have the capability to run multiple applications in parallel. And so you need to design your chip fabric for what we call freedom of interference between applications. So, of course, you have multiple cores, but it's not just that one application is running in each of those cars, but the management of all of the different IP blocks, the management of all of the interfaces, so that entire fabric design of the SoC is the key to enable that freedom of interference. And therefore to enable that ECU consolidation and that ability to move the management of the domain from the edge to the center. C.J. Muse That's great. I guess as a side note here, thinking about -- like you said, 16 FinFET and now working with TSMC on 5 nanometer. Curious I think, NXP has lots of different businesses, so obviously, you're benefiting from your digital networking business. Is that a competitive advantage for you versus your automotive peers? Henri Ardevol Yes, so indeed, networking is a huge trend and you have all of these packets of data that are going across the car and you want to manage the fate -- the secure and safe distribution of all of those and for this you need a few a few attributes. On one side, you need the ability to manage a lot of bandwidth of data and that indeed is an asset that we have -- the packet processing from our digital networking from communication side. You also need to have to ensure the security of it and that security goes both in terms of the rights management of your traffic, which again, come from digital networking, but also everything to do with encryption and side channel production, which is a lot of know-how that we have from our smarthub business. Now, that's not enough. It's required, it's necessary, but it's far from sufficient, you also need to ensure functional safety. So, you need to ensure that this is going to be a platform which is going to function with the level of robustness and reliability which is needed. And typically, your high safety processors in automotive are rather simple devices, are rather simple MCUs. And so what we have done is we have embedded the level of functional safety into these high performance MPUs. And so how do we do this? Well, it's things like taking the ARM cores and then building them into a safe platform. And so this SoC fabric that we're talking about, which ensures the freedom of interference, to also look at all of the key steps in our research, our [indiscernible], our clock, your power, your memory protection, your buses, and enable that for safe competition with the right level of redundancy and the right level of assurance. So, there's quite a few layers that you need to stack in order to have processors that will meet these requirements of domain controllers for automotive specifically. C.J. Muse Thank you for that. I guess I wanted to combine two questions into one. So, in prior discussions, you've emphasized the competitive understanding of how the entire system works as necessary for success. And then the second point would be, as you think about the changes that are underway for auto processing, how did the work responsibilities evolve for Tier 1s and Tier 2s? What does the future look like in your mind? Henri Ardevol Yes, so indeed the conversation and I think the answer is probably going to be mix on your two questions, because they touch each other. The conversation that we're having with our customers and with our customers' customers, the OEMs becomes a much more system level conversation than a function level conversation. So, whereas before you simply have an RFQ for hey, I just need to know a new body controller. Now, the conversation is how, how am I going to work collaboratively and define an architecture to manage a complete domain. And so what we find is that in order to add value to this conversation, you need to have been exposed to all of the different bits and pieces, because otherwise, you're just kind of a provider of raw technology, you're not really a partner. And this is where we can truly differentiate. We have been the supplier of the very first microcontroller in the industry with a very fast engine controller and a very fast automatic braking systems. And so since then, we've developed a tremendous understanding and know-how and application based on both the traditional domains of your vehicle dynamics and your chassis, but also evolving our portfolio for the new domains like electrification and battery management systems, et cetera. So, taking this and being able to then having that complete view of the system enables us to define together with the OEMs what the requirements for the next generations are going to be. And that is quite unique, right, if you just come from a background of raw processing of brute force, you -- the discussion is going to be very short, because you need to go into a lot of steps to understand the criticality of our customers' requirements. A good example would be real-time, right? Your car is a vehicle, which is moving through space and time and you have tremendous requirements in terms of ensuring real-time of your compute. But these real-time requirements also depend on what kind of applications are you talking about. And so you don't necessarily have the hardest category of real-time all the time. But when you do need to have real-time for your braking or for some engine function, you need to ensure that it is there. So, that's quite a quite a level of depth and sophistication that you need to have the background for that in order to be able to incorporate it into your products and then accelerate the OEM instead of asking too many questions. Now, the logical question after that, which is the one you were asking was and what about the Tier 1s, right? And what is their role and how does that whole thing evolve? And my experiencing in the last couple of years is it's evolving in a very collaborative way, actually. So, maybe, a couple of years ago -- I think, maybe three years ago, everybody thought, hey, robotaxis are going to be the future and in 2021, we'll just have an app and nobody will own a car. A couple of years ago, I think everybody was thinking, well, the OEMs are going to take everything over, they're going to do all of the software, and the Tier 1s are just going to be -- ODM and module manufacturers. Now, everybody recognizes, well hold on a second, this system is very complex, we need to organize it, we need to build the hierarchy, there are subsystem within that. And there's a tremendous amount of engineering that needs to go into that. And so the Tier 1s are also organizing themselves more around these subsystems. They have a tremendous amount, generally, the big ones of software engineers, that can truly contribute to execute that architecture definition of the OEM and then work with us in terms of providing a software platform, which enables that work efficiently. So, the work distribution becomes much more -- the OEM -- OEMs are taking a much more ownership in the vehicle architecture definition and are becoming much more deliberate into that, which means that they need to understand the whole system, but they don't need to execute the whole system themselves. They are then working collaboratively with the Tier 1s once, of course, the OEMs have to be more softer themselves. And then we are there working with the both of them. C.J. Muse That's great. I guess I got a lot of questions for you on that one. So, I guess, two part question, the first one for what you offer, do you consider that kind of an open system that can work with other competitors solutions? So, Tier 1s or OEMs can pick and choose. And then I guess the second part is, do you think the technological changes that you're making in terms of moving to domains, larger domains, do you think that will propel some sort of standard based kind of methodology for the automotive industry over time? Henri Ardevol Okay. So, we are absolutely a believer in open platforms and our approach as a company, for -- since forever, I would say always has been open platforms are good for the market, we are leader in this market and so our role is more to grow the market, rather than to try to grab a little bit more market share. So, we rather have a large market share of a very fast growing market, than to try to control something which is going to stagnate because people feel trapped. So, open platform, absolutely. Now, this said we bring value beyond single components to our customers and that goes in two directions. On one side when we think just of pure processes, so we talked okay, you have those domain controllers that manage the strategy, you have the zonal controllers that are acting more as sensor server, if you want, and that organize the physical topology of the car. And you have these end nodes with all of the controls, with your battery management system or your inverter actuation. We are providing for all of those devices from the most sophisticated MPU to the lowest power MCU, a consistent software interface such that the way that the chip behave, the reset the clock and the debug and the security framework and the safety framework is consistent. And so that really helps the OEMs in the integration. So that's one layer of value. The other layer of value is on the system input. So, when you think of a power control systems for an XED powertrain, well you're going to have a DC/DC converter, you're going to have an inverter for your electric motor control unit, you're going to have a battery management system, you're going to have no overall powertrain domain controller, we probably still in many cases are going to have a compression engine control unit. Each of those requires a combination of a processor with a companionship to do a lot of the analog management, which started as a gimmick, as a power management IC, but now a lot of analog features are integrated into that. You need a lot of IDM transceivers for your can lean, your Ethernet bus, you need gate drivers issue control a motor, you need analog front ends. And this is what my sister business line in automotive analog is providing. And what we do is we integrate those into a system solution. So, what does that mean for customers? It means on one side, it's integrated on the software level. So, we pre-integrate and we deliver a complete software package, where everything is already validated. But also next to that, we also integrate the functional safety framework, because when you think of the functional safety of a subsystem like a DC/DC converter, it is not just about what you process, it is also about how you sense and how you actuate. And so that requires these other components, we integrate all of those into one consistent and coherent, functional safety framework, which again, accelerates greatly the time to market of our customer and the OEM. So, yes, very much open systems, but at the same time, there are very strong ways to add value and to be a partner that doesn't simply deliver upon solutions, but collaborates on the entire system definition. C.J. Muse So, I have a question from the audience, that kind of fits what we were just discussing. OEMs are talking about having more direct relationship with semiconductor companies? How might this change things for you? Henri Ardevol Very positively. This whole supply crisis that I think weighs on everybody's mind, actually has brought everyone a lot closer together. And as much as everyone intellectually was thinking, the entire innovation of OEMs of car manufacturers has moved from mechanics to electronics, in reality, their understanding of the value chain of that world needed quite a lot of depth. And I personally have conversations with the Board of management of almost literally every major OEM on the planet, on a weekly or biweekly basis. And yes, a lot of those conversations are on supply, but a lot of -- through these conversations, there are a lot about understanding the dynamics of each other, there are a lot about understanding the added value of each other. And they very soon move into -- well, actually, we can do a lot more stuff together than what we thought. And so that really accelerates the conversations on well, let's take the next step in vehicle architecture, because clearly that there is more potential there than what they might have realized. And also if we just take the brutal fact of supply, moving along into more advanced nodes also has more supply capacity. And so that is another layer of added value that will bring with our portfolio, which is are you going to be into that part of the value chain of semiconductors where most of the investments are going and where hopefully, we'll be able to work to satisfy the demand without the little dramas that were leaving on a daily basis. C.J. Muse That's great. I guess if you think about sizing the market, I know in a previous presentation, you talked about 10% growth CAGR for the auto processing market, $4.5 billion to $6 billion into 2023. You've had previously 24% market share and I think you as a company have talked about growing 1.2 times the market. So, in a very kind of ballpark type of perspective, it looks like you think this business can grow from like $1 billion to $1.7 plus billion over kind of a three-year timeframe. Is that the right kind of math we should be using? Henri Ardevol Yes, and this a part of our overall of our play, which is really focused on to that core vehicle platform. We have a lot of additional growth factors in NXP, that touch on that, which are -- for example, a radar play, which are, for example, infotainment with the audio on the display side. So, when we think of that core vehicle infrastructure, then yes, it's a market that we anticipate to grow from $4.4 billion to $6 billion. Where's the growth going to come from? On one side, clearly electrification. So, moving from 13% to 26% of cars, every time you have a car moving to some form of electrification, typically it carries some enhanced degree of digitalization because everybody wants their controls to be much more digital and so that brings in acceleration for end nodes. Networking is going to grow at a very strong pace. And then domain control, particularly for xEV and integrated chassis management. So that acceleration that we're going to see in terms of our market penetration is going to be driven by these several waves. In terms of how to think of those and that's -- this new portfolio that we're discussing here in this chat, has the brand name of S32 to covering across domain controllers and end nodes. It starts with the end nodes, because you need to have all of these controls, you need to have all of these features. So, that is a growth which is really starting now and is going to be a big part of this 25% of our revenue in 2023 that we're highlighting for the S32 product family. It will continue, but at the same time, we have a tremendous amount of design wins that are being won and that are being now in development with the OEMs for networking and xEV domain control that will start to ramp. But they are really restarting in volume from 2023, 2024 and so they will provide more of the next wave of revenue growth beyond even what we are discussing here right now. C.J. Muse So, just to follow-up a bit on that, if you think about accelerating EV, what does that mean for the auto processing market? Is that an incremental driver on top of kind of, for combustible engine? Henri Ardevol Yes, I mean, very soon we will have about 50% of all cars that will be some part of some -- some sort of xEV. And as we're seeing, it is driving the digitalization of the vehicle together with it. So, we see multiple benefits to which one, the sophistication of the processing and the amount of processors that you need is much higher than when you just have a single engine with a gas tank, one Two, you need a lot of peripherals that we're talking about before, right, this gate drivers and IVN and mix [ph] and analog contents, and we have a pretty unique portfolio for that. And then three, it's driving all of these end nodes to become digital. Everybody that has an xEV wants to have a cool car, right? Nobody wants to have a car with mechanical seats and roll down windows. Everybody wants to have the latest and greatest. And that's -- this MCU part of our portfolio, which we've rededicated for is internal power for these kind of applications. So, three waves in wireless, essentially what we're seeing in terms of benefit for an xEV with electrification. C.J. Muse That's great. So, in our last five minutes, I guess I wanted to combine two kind of questions together. So, when just talking before, the evolving nature of customer engagement and how the future is not iPhone on wheels, right? And you talked about safety, long-term quality assured supply, and obviously, that puts you, NXP, in a great position with your customers. The second point would be that you're obviously, you've been working in the prior few years on current solutions today and clearly, today, you're working on future solutions that I think could push in the single chip platform type direction. So, in the last kind of few minutes that we have, I guess, perhaps, you could kind of speak to competitive positioning, given your breadth of offering and kind of the future engagement and future potential for what you can do within your purview of auto processing? Henri Ardevol Yes. So, we made a bold decision on our roadmap to move away from this kind of mid-range microcontrollers, which was the norm a few years back and we made that bold decision to move on. On one side to these high performance multi-application MPUs with the highest degree of functional safety and these ultra-power end nodes for the integration of all of these additional controls. That bet clearly is paying off. We see that the adoption of domains if anything is accelerating, being fueled by the OEM now really considering their usage of semiconductors and their architecture of semiconductors much more holistically and much more deliberately and probably than what may have may have happened in the past period. And so, roadmap validated consistently very good traction with multiple customers. How will that further evolve in two directions? One direction is you have this intermediate level in the hierarchy, what we call zonal controllers and these zonal controllers aim to simplify the physical network topology where we have a very strong footprint in analog and to unlock all of the data from these different end nodes. So, that yet again, a new category of sophisticated microcontrollers that is going to appear and where we are starting to direct a lot of our roadmap. And on the domain side, we see that these different domains, as they -- the strategy has moved from the edge to the center, these different domains, the trend is for them to work together and so the fact that we have a consistent software architecture means that we're able to have them collaborate. We have the ability to have them work as one logical unit, and overtime, even integrate with the core attributes that we had discussed. That's one of the reasons as to why we've developed our roadmap in 5 nanometer. The other reason is that you're just for the domains, we see that the processing requirements within still limited our budget continue to increase. So, we intend to continue to have thought leadership kind of solutions, bring silicon early to customers in order to facilitate their thinking and the prototyping. And we believe that this will continue to both accelerate the market as well as fuel waves have, of both for NXP. So, last word maybe, the importance of safety, we should never underestimate, right, in developing modern cars. We've been investing in that for decades. It doesn't come easily. It is a multi-disciplinary problem that is trying to solve, so you need to have this know-how at the application level, this deep application understanding. And we believe that this combination of aggressive roadmap with deep application understanding with the world's best, frankly, we can say functional safety and security will be pretty unique as we move forward. So, we are very excited about the current outlook. C.J. Muse Excellent. Well, best of luck with all of that, and Henri and Jeff, thank you both very much for your time. Always a pleasure to host NXP and learn as much as we can. And I think today was great, so thank you. Henri Ardevol Thanks C.J., appreciate your support.LikeShareCommentRecommended For YouCommentsNewestTo ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. | NXP Semiconductors N.V. (NXPI) Management on Evercore ISI Autotech & AI Forum Conference (Transcript) | NXP Semiconductors N.V. NXPI Management Evercore ISI Autotech AI Forum Conference Transcript Seeking Alpha Seeking Alpha Go HomeTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationTranscriptsTechnologyNXP Semiconductors N.V. NXPI Management Evercore ISI Autotech AI Forum Conference TranscriptSep. 22, 2021 4:47 PM ETNXP Semiconductors N.V. NXPISA Transcripts128.22K FollowersFollowNXP Semiconductors N.V. NASDAQ:NXPI Evercore ISI Autotech AI Forum Conference September 22, 2021 11:45 AM ET Company Participants Henri Ardevol SVP, Auto Conference Call Participants C.J. Muse Evercore ISI C.J. Muse Good morning, good afternoon. Thank joining Evercore ISIs Autotech AI Forum. My C.J. Muse, Semiconductor Analyst here. Very pleased hosting NXP Semiconductors. With today Henri Ardevol, SVP, GM Auto Processing Jeff Palmer, Vice President, Investor Relations. Weve got I think, 35 minutes fireside chat. And warm welcome Henri. Thank you. Thank joining us. Henri Ardevol Thank you, C.J. Looking forward. QuestionandAnswer Session Q C.J. Muse Excellent. So, start big picture, youve embarked strategy push automotive processing market domain zonal controllers. Can speak whats driving platformbased approach? And NXP company capable providing right solution evolution? Henri Ardevol Yes, absolutely. So, yes, I mean, years already, I think years ago, recognized vehicle software networking requirements outpace traditional MCUs. And began refresh portfolio try meet anticipate trends. And gone directions; side, class processes, performance allows migrate strategy management different sources power talk new vehicles, hybrid cars now, complicated management. And single engine single source power, integrate behavior car chassis management, ways optimize range, optimize experience car. And side, recognizing theres gadgets coming, features coming car. Just briefly before, talking about, steering wheel, steering wheel today different switches displays controls. And require class microcontrollers low power able plugged new architectures taxing much. So, theres big shifts, big changes, taking place mind OEMs, kinds problems trying solve. On side, simplify software, requirements, features youre trying cram in, hard integrate verify validate continues function. And side, simplify wiring physical connectivity additional functions want car? How multiple networks stacked end physical topology, physically manageable, also, frankly, costeffective? And think migrations higher class processors, actually help lot software terms integrating management it. And think entrepreneurial power nodes, plug easier way network then, Im sure talked it, evolutions physical topology car. So, big shifts taking place big problems OEMs trying solve weve best try anticipate semiconductors, need try spot trends years advance weve taken bold decisions, seeing lot conversations OEMs, direction theyre looking for. C.J. Muse So, discussed challenges here, I think largest ones integration, access data software. And walk youve come solution provides right solution right time automakers. Henri Ardevol Yes, sure. So, yes, I mean start software, right moving hundreds millions lines codes, huge 1 billion lines code 2030. And presents massive challenges terms making sure I saying, verifiable core attributes consumer expects going robust, going safe, going reliable, going break down, going high quality, going attacked, high degree security. Those key expectations consumers, I say, continue exist, actually stronger now, everybody aware risks. And poses additional level challenge software architecture, meet robust way. And way industry moving responding finding defining domains, entire vehicle. And domains propulsion, car moves stops, chassis management, car behaves, networking, manage flow data goes car, ensure security it, distribute manage privileges that, connect external world. And finally, body, connectivity different controllers inside car. So, areas domain want start manage whole. And start want order realize category processors, performant single microcontroller route single function. And order processes right performance level, need things. On side, need leading edge terms technology. And moved entire portfolio FinFET 16 FinFET right now. And collaborating TSMC 5 nanometer automotive qualified. So, taking right steps terms technology going futureproof going new attributes performance power required. But design chip, theyre going managing entire domain, need capability run multiple applications parallel. And need design chip fabric freedom interference applications. So, course, multiple cores, application running cars, management different IP blocks, management interfaces, entire fabric design SoC key enable freedom interference. And enable ECU consolidation ability management domain edge center. C.J. Muse Thats great. I guess note here, thinking like said, 16 FinFET working TSMC 5 nanometer. Curious I think, NXP lots different businesses, obviously, youre benefiting digital networking business. Is competitive advantage versus automotive peers? Henri Ardevol Yes, indeed, networking huge trend packets data going car want manage fate secure safe distribution need attributes. On side, need ability manage lot bandwidth data asset packet processing digital networking communication side. You need ensure security security goes terms rights management traffic, again, come digital networking, encryption channel production, lot knowhow smarthub business. Now, thats enough. Its required, necessary, far sufficient, need ensure functional safety. So, need ensure going platform going function level robustness reliability needed. And typically, high safety processors automotive simple devices, simple MCUs. And embedded level functional safety high performance MPUs. And this? Well, things like taking ARM cores building safe platform. And SoC fabric talking about, ensures freedom interference, look key steps research, [indiscernible], clock, power, memory protection, buses, enable safe competition right level redundancy right level assurance. So, theres layers need stack order processors meet requirements domain controllers automotive specifically. C.J. Muse Thank that. I guess I wanted combine questions one. So, prior discussions, youve emphasized competitive understanding entire works necessary success. And second point be, think changes underway auto processing, work responsibilities evolve Tier 1s Tier 2s? What future look like mind? Henri Ardevol Yes, conversation I think answer probably going mix questions, touch other. The conversation customers customers customers, OEMs level conversation function level conversation. So, simply RFQ hey, I need know new body controller. Now, conversation how, I going work collaboratively define architecture manage complete domain. And order add value conversation, need exposed different bits pieces, otherwise, youre kind provider raw technology, youre partner. And truly differentiate. We supplier microcontroller industry fast engine controller fast automatic braking systems. And then, weve developed tremendous understanding knowhow application based traditional domains vehicle dynamics chassis, evolving portfolio new domains like electrification battery management systems, et cetera. So, taking able complete view enables define OEMs requirements generations going be. And unique, right, come background raw processing brute force, discussion going short, need lot steps understand criticality customers requirements. A good example realtime, right? Your car vehicle, moving space time tremendous requirements terms ensuring realtime compute. But realtime requirements depend kind applications talking about. And dont necessarily hardest category realtime time. But need realtime braking engine function, need ensure there. So, thats level depth sophistication need background order able incorporate products accelerate OEM instead asking questions. Now, logical question that, asking Tier 1s, right? And role thing evolve? And experiencing couple years evolving collaborative way, actually. So, maybe, couple years ago I think, maybe years ago, everybody thought, hey, robotaxis going future 2021, app car. A couple years ago, I think everybody thinking, well, OEMs going over, theyre going software, Tier 1s going ODM module manufacturers. Now, everybody recognizes, hold second, complex, need organize it, need build hierarchy, subsystem that. And theres tremendous engineering needs that. And Tier 1s organizing subsystems. They tremendous amount, generally, big ones software engineers, truly contribute execute architecture definition OEM work terms providing software platform, enables work efficiently. So, work distribution OEM OEMs taking ownership vehicle architecture definition deliberate that, means need understand system, dont need execute themselves. They working collaboratively Tier 1s once, course, OEMs softer themselves. And working them. C.J. Muse Thats great. I guess I got lot questions one. So, I guess, question, offer, consider kind open work competitors solutions? So, Tier 1s OEMs pick choose. And I guess second is, think technological changes youre making terms moving domains, larger domains, think propel sort standard based kind methodology automotive industry time? Henri Ardevol Okay. So, absolutely believer open platforms approach company, forever, I open platforms good market, leader market role grow market, try grab little bit market share. So, large market share fast growing market, try control going stagnate people feel trapped. So, open platform, absolutely. Now, said bring value single components customers goes directions. On think pure processes, talked okay, domain controllers manage strategy, zonal controllers acting sensor server, want, organize physical topology car. And end nodes controls, battery management inverter actuation. We providing devices sophisticated MPU lowest power MCU, consistent software interface way chip behave, reset clock debug security framework safety framework consistent. And helps OEMs integration. So thats layer value. The layer value input. So, think power control systems XED powertrain, youre going DCDC converter, youre going inverter electric motor control unit, youre going battery management system, youre going overall powertrain domain controller, probably cases going compression engine control unit. Each requires combination processor companionship lot analog management, started gimmick, power management IC, lot analog features integrated that. You need lot IDM transceivers lean, Ethernet bus, need gate drivers issue control motor, need analog ends. And sister business line automotive analog providing. And integrate solution. So, mean customers? It means side, integrated software level. So, preintegrate deliver complete software package, validated. But that, integrate functional safety framework, think functional safety subsystem like DCDC converter, process, sense actuate. And requires components, integrate consistent coherent, functional safety framework, again, accelerates greatly time market customer OEM. So, yes, open systems, time, strong ways add value partner doesnt simply deliver solutions, collaborates entire definition. C.J. Muse So, I question audience, kind fits discussing. OEMs talking direct relationship semiconductor companies? How change things you? Henri Ardevol Very positively. This supply crisis I think weighs everybodys mind, actually brought lot closer together. And intellectually thinking, entire innovation OEMs car manufacturers moved mechanics electronics, reality, understanding value chain world needed lot depth. And I personally conversations Board management literally major OEM planet, weekly biweekly basis. And yes, lot conversations supply, lot conversations, lot understanding dynamics other, lot understanding added value other. And soon well, actually, lot stuff thought. And accelerates conversations well, lets step vehicle architecture, clearly potential realized. And brutal fact supply, moving advanced nodes supply capacity. And layer added value bring portfolio, going value chain semiconductors investments going hopefully, able work satisfy demand little dramas leaving daily basis. C.J. Muse Thats great. I guess think sizing market, I know previous presentation, talked 10 growth CAGR auto processing market, 4.5 billion 6 billion 2023. Youve previously 24 market share I think company talked growing 1.2 times market. So, kind ballpark type perspective, looks like think business grow like 1 billion 1.7 plus billion kind threeyear timeframe. Is right kind math using? Henri Ardevol Yes, overall play, focused core vehicle platform. We lot additional growth factors NXP, touch that, example, radar play, are, example, infotainment audio display side. So, think core vehicle infrastructure, yes, market anticipate grow 4.4 billion 6 billion. Wheres growth going come from? On side, clearly electrification. So, moving 13 26 cars, time car moving form electrification, typically carries enhanced degree digitalization everybody wants controls digital brings acceleration end nodes. Networking going grow strong pace. And domain control, particularly xEV integrated chassis management. So acceleration going terms market penetration going driven waves. In terms think thats new portfolio discussing chat, brand S32 covering domain controllers end nodes. It starts end nodes, need controls, need features. So, growth starting going big 25 revenue 2023 highlighting S32 product family. It continue, time, tremendous design wins development OEMs networking xEV domain control start ramp. But restarting volume 2023, 2024 provide wave revenue growth discussing right now. C.J. Muse So, followup bit that, think accelerating EV, mean auto processing market? Is incremental driver kind of, combustible engine? Henri Ardevol Yes, I mean, soon 50 cars sort xEV. And seeing, driving digitalization vehicle it. So, multiple benefits one, sophistication processing processors need higher single engine gas tank, Two, need lot peripherals talking before, right, gate drivers IVN mix [ph] analog contents, pretty unique portfolio that. And three, driving end nodes digital. Everybody xEV wants cool car, right? Nobody wants car mechanical seats roll windows. Everybody wants latest greatest. And thats MCU portfolio, weve rededicated internal power kind applications. So, waves wireless, essentially seeing terms benefit xEV electrification. C.J. Muse Thats great. So, minutes, I guess I wanted combine kind questions together. So, talking before, evolving nature customer engagement future iPhone wheels, right? And talked safety, longterm quality assured supply, obviously, puts you, NXP, great position customers. The second point youre obviously, youve working prior years current solutions today clearly, today, youre working future solutions I think push single chip platform type direction. So, kind minutes have, I guess, perhaps, kind speak competitive positioning, given breadth offering kind future engagement future potential purview auto processing? Henri Ardevol Yes. So, bold decision roadmap away kind midrange microcontrollers, norm years bold decision on. On high performance multiapplication MPUs highest degree functional safety ultrapower end nodes integration additional controls. That bet clearly paying off. We adoption domains accelerating, fueled OEM considering usage semiconductors architecture semiconductors holistically deliberately probably happened past period. And so, roadmap validated consistently good traction multiple customers. How evolve directions? One direction intermediate level hierarchy, zonal controllers zonal controllers aim simplify physical network topology strong footprint analog unlock data different end nodes. So, again, new category sophisticated microcontrollers going appear starting direct lot roadmap. And domain side, different domains, strategy moved edge center, different domains, trend work fact consistent software architecture means able collaborate. We ability work logical unit, overtime, integrate core attributes discussed. Thats reasons weve developed roadmap 5 nanometer. The reason youre domains, processing requirements limited budget continue increase. So, intend continue thought leadership kind solutions, bring silicon early customers order facilitate thinking prototyping. And believe continue accelerate market fuel waves have, NXP. So, word maybe, importance safety, underestimate, right, developing modern cars. Weve investing decades. It doesnt come easily. It multidisciplinary problem trying solve, need knowhow application level, deep application understanding. And believe combination aggressive roadmap deep application understanding worlds best, frankly, functional safety security pretty unique forward. So, excited current outlook. C.J. Muse Excellent. Well, best luck that, Henri Jeff, thank time. Always pleasure host NXP learn can. And I think today great, thank you. Henri Ardevol Thanks C.J., appreciate support.LikeShareCommentRecommended For YouCommentsNewestTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. 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https://seekingalpha.com/article/4510241-ambac-financial-group-inc-ambc-ceo-claude-leblanc-on-q1-2022-results-earnings-call-transcript | 2022-05-11T00:00:00 | en | Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2022 Results - Earnings Call Transcript | Seeking Alpha | Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2022 Results - Earnings Call Transcript | Seeking Alpha Seeking Alpha - Go to HomepageTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationWatch & ListenTranscriptsFinancialAmbac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2022 Results - Earnings Call TranscriptMay 11, 2022 2:51 PM ETAmbac Financial Group, Inc. (AMBC)SA Transcripts126.74K FollowersFollowAmbac Financial Group, Inc. (NYSE:AMBC) Q1 2022 Earnings Conference Call May 11, 2022 8:30 AM ET Company Participants Charles Sebaski - Head of Investor Relation Claude LeBlanc - President & Chief Executive Officer David Trick - Executive Vice President, Chief Financial Officer & Treasurer Conference Call Participants David Belport - Wells Fargo Advisors Operator Greetings and welcome to Ambac Financial Group, Inc. First Quarter 2022 Earnings Call. At this time, all participants are in a listen-only mode. A brief question-and-answer session will follow the formal presentation. [Operator Instructions] As a reminder, this conference is being recorded. It is now my pleasure to introduce your host, Charles Sebaski, Head of Investor Relations; Claude LeBlanc, Chief Executive Officer; and David Trick, Chief Financial Officer. I will now turn the conference over to Charles. Please go ahead, sir. Charles Sebaski Thank you. Good morning and thank you, all for joining today's conference call to discuss Ambac Financial Group's first quarter 2022 financial results. We'd like to remind you that today's presentation may contain forward-looking statements about our business, including, but not limited to, new business, credit outlooks, market conditions, credit spreads, financial ratings, loss reserves, loss mitigation, loss recoveries, investment returns or other items that may affect our future results. These statements are based on management's current expectations and are subject to uncertainty and changes in circumstances. Any forward-looking statements are not guarantees of future performance of events. Actual performance and events may differ, possibly materially, from such forward-looking statements. Factors that could cause this include the factors described in our most recent SEC-filed quarterly or annual report under Management's Discussion and Analysis of Financial Conditions and Results of Operation and under Risk Factors. Ambac is not under any obligation and expressly disclaims any obligation to update any forward-looking statement whether as a result of new information, future events or otherwise. Today's presentation contains non-GAAP financial measures. The reconciliation of such measures to the most comparable GAAP figures are included in our earnings press release, which is available on our website at ambac.com. Please note that presentations have been posted to the Events and Presentations section of our IR website which support our comments today. I would now like to turn the call over to Mr. Claude LeBlanc. Claude LeBlanc Thank you, Chuck, and welcome to everyone joining today's call. For the quarter ending March 31, 2022, Ambac reported net profit of $2 million or $0.04 per diluted share, and adjusted earnings of $14 million or $0.30 per diluted share. In addition, this quarter, we announced a share buyback program which began in April, and to-date, we have repurchased over 1.5 million shares for just over $13 million or an average price of $8.78 per share. Yesterday, we announced the addition of $15 million to our share repurchase program, bringing the total unused authorized amount to $21.8 million. David will discuss our results in more detail shortly. As previously shared with investors, 2021 was a transition year for Ambac as we launched our Specialty P&C Insurance business and progressed our strategy to become a growth-oriented company. Our results for the first quarter of 2022 for Specialty P&C Insurance platform are a clear reflection of our early successes, which are very encouraging. We experienced growth across both our Specialty P&C participatory fronting and insurance distribution businesses with total specialty P&C insurance production of nearly $70 million representing a 71% increase from the first quarter of last year. This growth is being driven by the scaling and expansion of our new businesses further supported by the favorable market conditions and the progressing secular shifts in the insurance market. As it relates to market conditions, we have continued to see rate increases at moderating pace in most lines of business, a dynamic, which supports the continued growth of the rapidly evolving program and fronting markets in the US. The MGA market is estimated to be generating between USD60 billion and USD65 billion of premium annually having doubled over the last decade. Fueling the growth of the fronting market, which grew by nearly 53% year-over-year in 2021. This is the trend we anticipate will continue in the coming years, subject to market conditions. For the first time this quarter, in addition to our traditional consolidated reporting, we are now providing segment reporting on our two growing operating businesses. Everspan Group, which we will report in our Specialty P&C Insurance segment and Serotta Group [ph], which we will report in our insurance distribution segment. Our Specialty P&C Insurance business, Everspan Group was launched in the second quarter of 2021 and our strategy from the beginning was to differentiate our business model from other fronting businesses. A key component of this differentiation is our ability and willingness to retain up to 30% of underwriting risk, which creates significant alignment of interest with Everspan's reinsurance partners. This distinction further expands our ability to differentiate Everspan as a leading solutions and service market for our valued program administrators. In the first quarter of 2022, this strategy has been successful and generating $24 million in gross premium written across the 10 programs launched over the last year, including three this quarter, representing a run rate of approximately $100 million, which we expect to grow in consecutive quarters with a strong pipeline of prospective programs going into the second quarter. Our leadership team at Everspan is represented by industry executives with proven track records in all key aspects of our business model, underwriting, actuarial and claims. Turning to our distribution business, our insurance distribution segment led by Xchange, our first MGU partner is profitable and growing, having placed over $45 million of premium for the first quarter of 2022, an increase of nearly 13% over the prior year, which represents a record quarter for the company. Going forward, we expect the company will continue to successfully expand its business and distribution network, both organically as well as through select strategic transactions. Recently, we announced that Xchange entered into a renewal rights transaction for a $13 million portfolio of employer stop loss or ESL business. The transaction was self-funded is expected to be immediately accretive to earnings and is anticipated to expand Xchange's ESL premiums by over 15%. As importantly, we believe this transaction will open up new distribution relationships nationally and Xchange's core ESL business. Overall, we are very pleased with the progress, each of our P&C insurance businesses has shown this quarter and we believe, we are well positioned for continued growth both organically and through strategic transactions in 2022. Turning now to a legacy financial guaranty business. During the quarter, we had two significant developments at AAC. As previously announced, the plan of adjustment in Puerto Rico, which related to our GO and PBA exposures was finalized on March 15. This facilitated a reduction to our Puerto Rico-insured principal and interest exposure by $450 million. And since the end of the quarter, we have further reduced our Puerto Rico exposure by $716 million, eliminating all of our remaining PRIFA and CCDA exposures. As a result, as of today, our only remaining insured Puerto Rico exposure is to HTA and our residual exposure to COFINA. These transactions collectively represent a 49% reduction in our remaining Puerto Rico exposure, which led to Ambac's recognized gain of $198 million in the quarter. As it relates to our remaining HTA exposure in Puerto Rico, the HTA Plan of Adjustment was filed on May 2, and we expect that it will be confirmed and become effective before the end of the year. However, until the Title III process is concluded for HTA, some uncertainty still exists around the final outcome. Looking at the balance of our portfolios, we continue to reduce risk in the insured portfolio through active derisking and natural portfolio runoff. Net par exposure was $27 billion at March 31, down nearly $1 billion or 4% from December 31, 2021. Ambac's Watch List and Adversely Classified Credits were reduced to $9.6 billion at March 31, down approximately $0.6 billion or 6% from the prior year end. Overall, Ambac has removed a material amount of uncertainty from its legacy insured portfolios over the last couple of quarters. Absent new material developments in the insured portfolios, we would anticipate this to result in lower future loss volatility. The other significant development at AAC during the quarter related to a New York Court of Appeals ruling in an unrelated RMBS litigation known as heat. While this decision did not involve any of our RMBS cases, the decision in the court of appeals limits damage recoveries for one of our various paths to recovery in certain of our RMBS cases. As a result of this change in law, AAC reduced its rep and warranty subrogation recoverable by $186 million. Changes in discount rates and underlying insured RMBS transaction performance contributed an additional $38 million to the overall reduction of the recoverable. As it relates to our RMBS loss recovery efforts, we are actively pursuing all claims in our rep and warranty litigations. And in our main case against, Bank of America Countrywide, we are preparing for trial and look forward to resolving our claims as favorably and as expeditiously as possible. As more fully described in letters filed with the court on March 24 and March 28 by our outside counsel, Ambac has multiple paths in that case to recover our claim payments in addition to significant prejudgment interest, which began accruing more than 10 years ago. Furthermore, we believe that heat does not impact our two primary paths to recovery, one, discovery; and two, reimbursement, neither of which was addressed by heat. At trial, Ambac intends to prove the following. First, in light of the recent heat decision through multiple paths, we intend to prove that Countrywide discovered the breaches without the need for notice. We have been preparing the discovery case against Countrywide for years and have always planned to prove discovery along with our notice breach approach at trial. Ambac's discovery case is also unique in the RMBS space, given that Countrywide originated approximately 85% of the loans in the transactions at issue in the case, meaning that Countrywide employees reviewed every application for every loan that Countrywide originated. Countrywide's role as originator with most of the loans at issue in the litigation, makes our case markedly different from other outstanding RMBS litigations. Countrywide also discovered breaches through its role as sponsor of each securitization transaction and a servicer of the loans. As such, Countrywide discovered breaches of reps and warranties without the need for any notice. Second, Ambac has a separate reimbursement claim under its insurance and indemnity agreements with Countrywide. As an insurer, Ambac has an extra form of protection through contractual rights and revenues provided in these agreements. An appellate court has already held at the sole remedy repurchase protocol, which is what -- was that issue in heat does not apply in our reimbursement claim. Other RMBS plaintiffs, like trustees do not have this kind of alternative path to recovery. Third, we intend to prove that Countrywide prevented Ambac from providing additional notices by failing to timely provide Ambac with loan files and other materials in its possession. We also intend to prove the futility of providing further notices. Countrywide refused to repurchase all but a small number of effective loans that Ambac noticed, even though that its own internal fraud and quality control divisions acknowledged to be defective. With respect to other cases, we are making progress on our fraud-only case against Countrywide and our cases against First Franklin and Nomura, which we hope to progress the trial as early as next year. To dimensionalize our damages, as we look across all cases against RMBS sponsors, in Countrywide, we're seeking damages of well over $2 billion. And in our other cases, First Franklin, our fraud-only case against Countrywide and Nomura, we're seeking aggregate damages of more than $1 billion. We have confidence in our claims and intend to vigorously pursue them to fear a final resolution. As a reminder, the recoverable on our balance sheet for our breach of contract cases does not include prejudgment interest or any recovery from our fraud-only claims, both of which could be material. I will now turn the call over to David to discuss our financial results for the quarter. David? David Trick Thank you, Claude and good morning, everyone. Before I discuss our first quarter results, I'd like to emphasize two changes, we made to the presentation of our financial results this quarter. First, our results are being presented on a year-over-year basis rather than on a sequential basis, our formal presentation method. Secondly, we have begun disclosing our results through three segments: Legacy Financial Guarantee Insurance, Specialty Property & Casualty Insurance, and Insurance Distribution. Both of these changes are a result of the continued growth and expansion of our new businesses relative to the continued runoff of the legacy financial guaranty business. For the first quarter of 2022, Ambac reported net income of $2 million or $0.04 per diluted share compared to net income of $17 million or $0.08 per diluted share in the first quarter of 2021. Adjusted earnings for the first quarter were $14 million or $0.30 per diluted share compared to adjusted earnings of $41 million or $0.59 per diluted share in the first quarter of 2021. Difference between adjusted earnings and GAAP net income for the first quarter of 2022 related mostly to the exclusion of $14 million of insurance intangible amortization from adjusted income. The reduction in net income for the first quarter of 2022 as compared to the first quarter 2021 was primarily caused by the $33 million gain on the extinguishment of debt in the first quarter of 2021 related to the junior surplus note exchange transactions. Other notable variances relative to the prior period include higher loss and loss expenses and lower investment income offset by higher gains from interest rate derivatives and higher VIE gains. As part of our new segment disclosure and as Claude referenced, we are now reporting several new metrics, including P&C insurance production. P&C insurance production is a combination of both gross premiums written at Everspan and premiums placed through our insurance distribution segment. P&C production is a proxy for the basis upon which program fees, earned premium and gross commission income will be generated. Gross premium written at Everspan was $24 million in the first quarter compared to a de minimis amount in the first quarter of 2021 and up over 3x from the $7 million written in the fourth [ph] quarter of 2021. Premiums placed in the distribution business totaled $45 million in the first quarter compared to $40 million in the first quarter of 2021, an increase of 12%. Taken together, P&C insurance production was $69 million in the first quarter, up 71% over the first quarter of 2021 and over 2x the production of last quarter. First quarter is seasonally the largest quarter of the year for the insurance distribution business. Premiums earned were $15 million in the first quarter compared to $14 million in the first quarter of 2021. Financial guarantee earned premiums continued to trend downward as a result of our active derisking efforts and organic runoff of the insured portfolio. Everspan's contribution to net earned premium, although modest was just over $1 million for the quarter as compared to nil for the prior period and over double the prior quarter. In addition, we would highlight that of the $24 million of gross written premiums in the quarter, Everspan retained $5 million of net written premium, which will earn in over the next year. Everspan also collected $1 million of program fees, approximately 1/4 of which were earned in the first quarter and the remainder of which will also earn in over the remainder of the year. As Everspan continues to add programs and as each program grows gross written premium, we'd expect to see both earned premium and programming fees grow exponentially. Our Distribution segment also continues to grow. As previously noted, $45 million of premiums were placed in the quarter, a 12% increase from the $40 million placed last year. Insurance distribution business revenue comes from commissions earned based of the amount of premium at places. And for the first quarter, gross commissions were $9 million, up 19% from $7 million in the prior year period. The insurance distribution segment produced $2.7 million of EBITDA for the first quarter, up almost 13% over the first quarter 2021. Investment income for the first quarter was $5 million, down from $49 million from the first quarter of 2021. The decrease in investment income during the first quarter was related to three items: first, pooled fund investments generated a net gain of about $1 million in the quarter compared to $28 million in the first quarter of 2021. Given market conditions, we believe our pooled funds performed well in the quarter. This compares to extraordinary pooled fund performance in the first quarter of 2021 at approximately 4.6% or a 20% annualized rate. Secondly, we incurred a $9 million loss on Puerto Rico plan consideration classified as trading, which represented a small component of our large overall gain from the Puerto Rico restructuring in the quarter. Thirdly, we lost $7 million of income as a result of the refinancing of Ambac [indiscernible], a large portion of which we owned in the investment portfolio. However, interest expense was also down by a similar and offsetting amount year-over-year. During the first quarter, we also recorded realized gains of $9 million from a class action litigation recovery related to RMBS bonds we formally owned in the legacy financial guaranty segment investment portfolios. Loss and loss expenses were $24 million in the first quarter compared to $8 million in the first quarter of 2021. Public Finance experienced $190 million of positive development in the first quarter compared to a $9 million loss in the prior year, all of which was driven by Puerto Rico. Future development of our Puerto Rico loss reserves, which now solely relate to our HTA exposure will be influenced by many factors, including the confirmation and confirmation of the HTA plan, our ability to execute risk mitigation opportunities, timing, the value and liquidity of new bonds and CVI subrogation related to HTA as well as a number of other factors. While future development in our Puerto Rico reserves may occur, we do not currently anticipate such development to be significantly material. The structured finance portfolio generated a loss and loss expense of $213 million this quarter compared to a benefit of $8 million in the first quarter of last year. This change resulted primarily from a $224 million reduction to our rep and warranty credit, $186 million of which was the direct result of the previously mentioned New York Court of Appeals decision. In addition, there was a $27 million reduction related to an increase in discount rates and $11 million related to a reduction in underlying transaction losses. Net gains on derivative contracts, which are positioned as a partial economic hedge against interest rate exposure in the financial guarantee and investment portfolios were $57 million for the first quarter compared to gains of $25 million for the first quarter 2021. The interest rate derivative portfolio is designed to benefit from rising rates as a partial economic hedge against rate exposure in Ambac's financial guarantee insured and investment portfolios. Operating expenses were $34 million, up from $33 million in the first quarter. The slight increase in operating expenses for the first quarter was due to higher defensive legal expenses in the legacy financial guarantee segment, higher headcount and other expenses associated with building and growing our new businesses and growth-related sub-producer commissions in the insurance distribution segment, partially offset by lower corporate consulting and advisory fees. Turning to the balance sheet, shareholders' equity decreased $2.77 per share to $19.65 per share or $0.9 billion at March 31, 2022 from year end 2021. The decrease was due to net unrealized losses on investments of USD105 million and USD23 million of foreign currency translation losses. Adjusted book value decreased to $841 million or $18.07 per share at March 31, 2022, from $874 million or $18.88 per share at December 31, 2021. This $0.81 per share decrease was primarily due to foreign currency translation losses and the impact of higher risk fee rates used to discount economic future installment premiums. At March 31, 2022, ASG on a stand-alone basis, excluding investments in subsidiaries and cash, investments and net receivables of approximately $243 million or $5.22 per share, including approximately $118 million liquid assets. I will now turn the call back to Claude for some brief closing remarks. Claude LeBlanc In conclusion, we are excited by the material progress and growth we have seen in our Specialty P&C Insurance platform as the fronting and MGA markets continue to show strong growth and profitability. We continue to see attractive opportunities to deploy capital in our insurance distribution business in order to grow organically and through strategic transactions. We also see meaningful opportunities to capture growth and expense synergies across our growing businesses through our dedicated business services unit, supporting the existing and future technology, distribution and infrastructure needs of our distribution partners. We will also continue our focused derisking and loss recovery efforts in key areas of our legacy financial guarantee companies. And at the appropriate time, we'll explore strategic options for this business with the goal of maximizing value for our shareholders. As we continue the transition and expansion of our P&C platform, we believe the company's value will be increasingly driven by the individual segments, and therefore, align with our strategic focus on the specialty P&C insurance and distribution businesses. These new businesses are characterized by capital-light models, EBITDA managed and growth-focused. Accordingly, we believe the framework we're evaluating our new businesses and for Ambac as a whole, will need to include such new metrics, separate and distinct from our legacy financial guaranty business, which today is capital intensive and event-driven. We further believe the assessment of value for each underlying segment in addition to our holding company capital better reflects the value of our enterprise. We look forward to continuing to update you on our progress in the coming quarters. Operator, please open the call for questions. Question-and-Answer Session Operator [Operator Instructions] We have a first question from the line of David Belport with Wells Fargo Advisors. David Belport Yes, I have a question regarding the warrants that expire April 30, 2023. Has there been any talk or discussion as far as extending the warrant time with regard to the potential for a delay in the trial. Obviously, these are 10-year warrants and just wondering whether there is any possibility of extending those warrants, and I believe there should be. David Trick No, honestly, we have not had that discussion, but thank you for the feedback. We'll certainly take it under consideration and provide you with any appropriate feedback once we've had an opportunity to review your suggestion. Operator [Operator Instructions] We have next question from the line of [indiscernible] with Rosen Equities. Unidentified Analyst I was encouraged by some of the language in the press release about trying to see some of these litigation claims pursued to ultimate adjudication given the long timeline here, I actually followed back in 2007, 2008 when some of this stuff was kind of incepted. And I saw some of the conduct that went on with some of the originators and securitizers. So I'm very interested to see you guys being able to put some of the some of that into trial. So I appreciate that. And I'm interested to know, do you think that there's the potential for -- the potential for the trial to be delayed if that we need some time to kind of work out how to figure whether we have to figure out a new mechanism to kind of judge how to gauge how many of these loans need to be -- how we basically re-underwrite these loans like based on the ruling and the DOJ case. Claude LeBlanc As we described in our letter to Justice Reed on March 28 that we referenced, that is available on the court side and we were going to have it available on our investor section of our website as well. We believe that in the heat US Bank decision, that should not have any impact on the timing of our trial or the scope of our trial. And we believe that we should be able to proceed to trial as scheduled in September. It's a pause [ph] to sell off other issues or other cases developed in other directions. But as we've explained extensively in my prior remarks and in the letter, our case is very uniquely positioned and differentiated in the market, which is also why we believe there's a clear path to trial in September. Unidentified Analyst Makes a lot of sense to me. And I actually read that letter, and it was good to kind of see articulated some of the ways that you're kind of in a different situation relative to the trustee and has some kind of differentiating factors in terms of your rights and contractual aspects of the case. I was also encouraged that you guys kind of came back into the market buying stock. I think that's also very important that you've illustrated that some of the parts valuation of the company here, barely ascribes any value to the event-driven potential proceeds or value that could be ascribed to AFG from AAC in the medium to long term. And I also like that you kind of re-upped the buyback a bit in the last few days. And I'm wondering, would you guys kind of -- we're not -- I'm not trying to put you on but make a granular kind of commitment. But let's say, over the course of the year, if you continue to get distributions from the Specialty P&C businesses, do you think that there's scope to even add more to that buyback if the prices remain compelling later on in the year? David Trick Sure. It's something we will take into consideration. The stock buyback is something that we evaluate on a regular basis and try to weigh liquidity versus opportunities in the market to buy the stock, where we can be opportunistic versus capital deployment and new business opportunities. So it's a recurring and evolving evaluation of capital deployment. And certainly, it's one we'll continue to evaluate as the weeks and months go up by here and see where we come out on the current authorization and where our opportunities to deploy capital are throughout the course of the year. So it's something we continue to and we'll regularly continue to evaluate. Unidentified Analyst Well, I'll just endorse the thinking to this point strongly. Operator Thank you. There are no further questions at this time. This concludes today's conference. Thank you for your participation. You may disconnect your lines at this time.LikeSharePrintCommentTo ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. | Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2022 Results | Ambac Financial Group, . AMBC CEO Claude LeBlanc Q1 2022 Results Earnings Call Transcript Seeking Alpha Seeking Alpha Go HomeTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationWatch ListenTranscriptsFinancialAmbac Financial Group, . AMBC CEO Claude LeBlanc Q1 2022 Results Earnings Call TranscriptMay 11, 2022 2:51 PM ETAmbac Financial Group, . AMBCSA Transcripts126.74K FollowersFollowAmbac Financial Group, . NYSE:AMBC Q1 2022 Earnings Conference Call May 11, 2022 8:30 AM ET Company Participants Charles Sebaski Head Investor Relation Claude LeBlanc President Chief Executive Officer David Trick Executive Vice President, Chief Financial Officer Treasurer Conference Call Participants David Belport Wells Fargo Advisors Operator Greetings welcome Ambac Financial Group, . First Quarter 2022 Earnings Call. At time, participants listenonly mode. A brief questionandanswer session follow formal presentation. [Operator Instructions] As reminder, conference recorded. It pleasure introduce host, Charles Sebaski, Head Investor Relations; Claude LeBlanc, Chief Executive Officer; David Trick, Chief Financial Officer. I turn conference Charles. Please ahead, sir. Charles Sebaski Thank you. Good morning thank you, joining todays conference discuss Ambac Financial Groups quarter 2022 financial results. Wed like remind todays presentation contain forwardlooking statements business, including, limited to, new business, credit outlooks, market conditions, credit spreads, financial ratings, loss reserves, loss mitigation, loss recoveries, investment returns items affect future results. These statements based managements current expectations subject uncertainty changes circumstances. Any forwardlooking statements guarantees future performance events. Actual performance events differ, possibly materially, forwardlooking statements. Factors cause include factors described recent SECfiled quarterly annual report Managements Discussion Analysis Financial Conditions Results Operation Risk Factors. Ambac obligation expressly disclaims obligation update forwardlooking statement result new information, future events otherwise. Todays presentation contains nonGAAP financial measures. The reconciliation measures comparable GAAP figures included earnings press release, available website . Please note presentations posted Events Presentations section IR website support comments today. I like turn Mr. Claude LeBlanc. Claude LeBlanc Thank you, Chuck, welcome joining todays call. For quarter ending March 31, 2022, Ambac reported net profit 2 million 0.04 diluted share, adjusted earnings 14 million 0.30 diluted share. In addition, quarter, announced share buyback program began April, todate, repurchased 1.5 million shares 13 million average price 8.78 share. Yesterday, announced addition 15 million share repurchase program, bringing total unused authorized 21.8 million. David discuss results shortly. As previously shared investors, 2021 transition year Ambac launched Specialty PC Insurance business progressed strategy growthoriented company. Our results quarter 2022 Specialty PC Insurance platform clear reflection early successes, encouraging. We experienced growth Specialty PC participatory fronting insurance distribution businesses total specialty PC insurance production nearly 70 million representing 71 increase quarter year. This growth driven scaling expansion new businesses supported favorable market conditions progressing secular shifts insurance market. As relates market conditions, continued rate increases moderating pace lines business, dynamic, supports continued growth rapidly evolving program fronting markets US. The MGA market estimated generating USD60 billion USD65 billion premium annually doubled decade. Fueling growth fronting market, grew nearly 53 yearoveryear 2021. This trend anticipate continue coming years, subject market conditions. For time quarter, addition traditional consolidated reporting, providing segment reporting growing operating businesses. Everspan Group, report Specialty PC Insurance segment Serotta Group [ph], report insurance distribution segment. Our Specialty PC Insurance business, Everspan Group launched second quarter 2021 strategy beginning differentiate business model fronting businesses. A key component differentiation ability willingness retain 30 underwriting risk, creates significant alignment Everspans reinsurance partners. This distinction expands ability differentiate Everspan leading solutions service market valued program administrators. In quarter 2022, strategy successful generating 24 million gross premium written 10 programs launched year, including quarter, representing run rate approximately 100 million, expect grow consecutive quarters strong pipeline prospective programs going second quarter. Our leadership team Everspan represented industry executives proven track records key aspects business model, underwriting, actuarial claims. Turning distribution business, insurance distribution segment led Xchange, MGU partner profitable growing, placed 45 million premium quarter 2022, increase nearly 13 prior year, represents record quarter company. Going forward, expect company continue successfully expand business distribution network, organically select strategic transactions. Recently, announced Xchange entered renewal rights transaction 13 million portfolio employer stop loss ESL business. The transaction selffunded expected immediately accretive earnings anticipated expand Xchanges ESL premiums 15. As importantly, believe transaction open new distribution relationships nationally Xchanges core ESL business. Overall, pleased progress, PC insurance businesses shown quarter believe, positioned continued growth organically strategic transactions 2022. Turning legacy financial guaranty business. During quarter, significant developments AAC. As previously announced, plan adjustment Puerto Rico, related GO PBA exposures finalized March 15. This facilitated reduction Puerto Ricoinsured principal exposure 450 million. And end quarter, reduced Puerto Rico exposure 716 million, eliminating remaining PRIFA CCDA exposures. As result, today, remaining insured Puerto Rico exposure HTA residual exposure COFINA. These transactions collectively represent 49 reduction remaining Puerto Rico exposure, led Ambacs recognized gain 198 million quarter. As relates remaining HTA exposure Puerto Rico, HTA Plan Adjustment filed May 2, expect confirmed effective end year. However, Title III process concluded HTA, uncertainty exists final outcome. Looking balance portfolios, continue reduce risk insured portfolio active derisking natural portfolio runoff. Net par exposure 27 billion March 31, nearly 1 billion 4 December 31, 2021. Ambacs Watch List Adversely Classified Credits reduced 9.6 billion March 31, approximately 0.6 billion 6 prior year end. Overall, Ambac removed material uncertainty legacy insured portfolios couple quarters. Absent new material developments insured portfolios, anticipate result lower future loss volatility. The significant development AAC quarter related New York Court Appeals ruling unrelated RMBS litigation known heat. While decision involve RMBS cases, decision court appeals limits damage recoveries paths recovery certain RMBS cases. As result change law, AAC reduced rep warranty subrogation recoverable 186 million. Changes discount rates underlying insured RMBS transaction performance contributed additional 38 million overall reduction recoverable. As relates RMBS loss recovery efforts, actively pursuing claims rep warranty litigations. And main case against, Bank America Countrywide, preparing trial look forward resolving claims favorably expeditiously possible. As fully described letters filed court March 24 March 28 outside counsel, Ambac multiple paths case recover claim payments addition significant prejudgment interest, began accruing 10 years ago. Furthermore, believe heat impact primary paths recovery, one, discovery; two, reimbursement, addressed heat. At trial, Ambac intends prove following. First, light recent heat decision multiple paths, intend prove Countrywide discovered breaches need notice. We preparing discovery case Countrywide years planned prove discovery notice breach approach trial. Ambacs discovery case unique RMBS space, given Countrywide originated approximately 85 loans transactions issue case, meaning Countrywide employees reviewed application loan Countrywide originated. Countrywides role originator loans issue litigation, makes case markedly different outstanding RMBS litigations. Countrywide discovered breaches role sponsor securitization transaction servicer loans. As such, Countrywide discovered breaches reps warranties need notice. Second, Ambac separate reimbursement claim insurance indemnity agreements Countrywide. As insurer, Ambac extra form protection contractual rights revenues provided agreements. An appellate court held sole remedy repurchase protocol, issue heat apply reimbursement claim. Other RMBS plaintiffs, like trustees kind alternative path recovery. Third, intend prove Countrywide prevented Ambac providing additional notices failing timely provide Ambac loan files materials possession. We intend prove futility providing notices. Countrywide refused repurchase small number effective loans Ambac noticed, internal fraud quality control divisions acknowledged defective. With respect cases, making progress fraudonly case Countrywide cases First Franklin Nomura, hope progress trial early year. To dimensionalize damages, look cases RMBS sponsors, Countrywide, seeking damages 2 billion. And cases, First Franklin, fraudonly case Countrywide Nomura, seeking aggregate damages 1 billion. We confidence claims intend vigorously pursue fear final resolution. As reminder, recoverable balance sheet breach contract cases include prejudgment recovery fraudonly claims, material. I turn David discuss financial results quarter. David? David Trick Thank you, Claude good morning, everyone. Before I discuss quarter results, Id like emphasize changes, presentation financial results quarter. First, results presented yearoveryear basis sequential basis, formal presentation method. Secondly, begun disclosing results segments: Legacy Financial Guarantee Insurance, Specialty Property Casualty Insurance, Insurance Distribution. Both changes result continued growth expansion new businesses relative continued runoff legacy financial guaranty business. For quarter 2022, Ambac reported net income 2 million 0.04 diluted share compared net income 17 million 0.08 diluted share quarter 2021. Adjusted earnings quarter 14 million 0.30 diluted share compared adjusted earnings 41 million 0.59 diluted share quarter 2021. Difference adjusted earnings GAAP net income quarter 2022 related exclusion 14 million insurance intangible amortization adjusted income. The reduction net income quarter 2022 compared quarter 2021 primarily caused 33 million gain extinguishment debt quarter 2021 related junior surplus note exchange transactions. Other notable variances relative prior period include higher loss loss expenses lower investment income offset higher gains rate derivatives higher VIE gains. As new segment disclosure Claude referenced, reporting new metrics, including PC insurance production. PC insurance production combination gross premiums written Everspan premiums placed insurance distribution segment. PC production proxy basis program fees, earned premium gross commission income generated. Gross premium written Everspan 24 million quarter compared minimis quarter 2021 3x 7 million written fourth [ph] quarter 2021. Premiums placed distribution business totaled 45 million quarter compared 40 million quarter 2021, increase 12. Taken together, PC insurance production 69 million quarter, 71 quarter 2021 2x production quarter. First quarter seasonally largest quarter year insurance distribution business. Premiums earned 15 million quarter compared 14 million quarter 2021. Financial guarantee earned premiums continued trend downward result active derisking efforts organic runoff insured portfolio. Everspans contribution net earned premium, modest 1 million quarter compared nil prior period double prior quarter. In addition, highlight 24 million gross written premiums quarter, Everspan retained 5 million net written premium, earn year. Everspan collected 1 million program fees, approximately 14 earned quarter remainder earn remainder year. As Everspan continues add programs program grows gross written premium, wed expect earned premium programming fees grow exponentially. Our Distribution segment continues grow. As previously noted, 45 million premiums placed quarter, 12 increase 40 million placed year. Insurance distribution business revenue comes commissions earned based premium places. And quarter, gross commissions 9 million, 19 7 million prior year period. The insurance distribution segment produced 2.7 million EBITDA quarter, 13 quarter 2021. Investment income quarter 5 million, 49 million quarter 2021. The decrease investment income quarter related items: first, pooled fund investments generated net gain 1 million quarter compared 28 million quarter 2021. Given market conditions, believe pooled funds performed quarter. This compares extraordinary pooled fund performance quarter 2021 approximately 4.6 20 annualized rate. Secondly, incurred 9 million loss Puerto Rico plan consideration classified trading, represented small component large overall gain Puerto Rico restructuring quarter. Thirdly, lost 7 million income result refinancing Ambac [indiscernible], large portion owned investment portfolio. However, expense similar offsetting yearoveryear. During quarter, recorded realized gains 9 million class action litigation recovery related RMBS bonds formally owned legacy financial guaranty segment investment portfolios. Loss loss expenses 24 million quarter compared 8 million quarter 2021. Public Finance experienced 190 million positive development quarter compared 9 million loss prior year, driven Puerto Rico. Future development Puerto Rico loss reserves, solely relate HTA exposure influenced factors, including confirmation confirmation HTA plan, ability execute risk mitigation opportunities, timing, value liquidity new bonds CVI subrogation related HTA number factors. While future development Puerto Rico reserves occur, currently anticipate development significantly material. The structured finance portfolio generated loss loss expense 213 million quarter compared benefit 8 million quarter year. This change resulted primarily 224 million reduction rep warranty credit, 186 million direct result previously mentioned New York Court Appeals decision. In addition, 27 million reduction related increase discount rates 11 million related reduction underlying transaction losses. Net gains derivative contracts, positioned partial economic hedge rate exposure financial guarantee investment portfolios 57 million quarter compared gains 25 million quarter 2021. The rate derivative portfolio designed benefit rising rates partial economic hedge rate exposure Ambacs financial guarantee insured investment portfolios. Operating expenses 34 million, 33 million quarter. The slight increase operating expenses quarter higher defensive legal expenses legacy financial guarantee segment, higher headcount expenses associated building growing new businesses growthrelated subproducer commissions insurance distribution segment, partially offset lower corporate consulting advisory fees. Turning balance sheet, shareholders equity decreased 2.77 share 19.65 share 0.9 billion March 31, 2022 year end 2021. The decrease net unrealized losses investments USD105 million USD23 million foreign currency translation losses. Adjusted book value decreased 841 million 18.07 share March 31, 2022, 874 million 18.88 share December 31, 2021. This 0.81 share decrease primarily foreign currency translation losses impact higher risk fee rates discount economic future installment premiums. At March 31, 2022, ASG standalone basis, excluding investments subsidiaries cash, investments net receivables approximately 243 million 5.22 share, including approximately 118 million liquid assets. I turn Claude brief closing remarks. Claude LeBlanc In conclusion, excited material progress growth seen Specialty PC Insurance platform fronting MGA markets continue strong growth profitability. We continue attractive opportunities deploy capital insurance distribution business order grow organically strategic transactions. We meaningful opportunities capture growth expense synergies growing businesses dedicated business services unit, supporting existing future technology, distribution infrastructure needs distribution partners. We continue focused derisking loss recovery efforts key areas legacy financial guarantee companies. And appropriate time, explore strategic options business goal maximizing value shareholders. As continue transition expansion PC platform, believe companys value increasingly driven individual segments, therefore, align strategic focus specialty PC insurance distribution businesses. These new businesses characterized capitallight models, EBITDA managed growthfocused. Accordingly, believe framework evaluating new businesses Ambac whole, need include new metrics, separate distinct legacy financial guaranty business, today capital intensive eventdriven. We believe assessment value underlying segment addition holding company capital better reflects value enterprise. We look forward continuing update progress coming quarters. Operator, open questions. QuestionandAnswer Session Operator [Operator Instructions] We question line David Belport Wells Fargo Advisors. David Belport Yes, I question warrants expire April 30, 2023. Has talk discussion far extending warrant time regard potential delay trial. Obviously, 10year warrants wondering possibility extending warrants, I believe be. David Trick No, honestly, discussion, thank feedback. Well certainly consideration provide appropriate feedback weve opportunity review suggestion. Operator [Operator Instructions] We question line [indiscernible] Rosen Equities. Unidentified Analyst I encouraged language press release trying litigation claims pursued ultimate adjudication given long timeline here, I actually followed 2007, 2008 stuff kind incepted. And I saw conduct went originators securitizers. So Im interested guys able trial. So I appreciate that. And Im interested know, think theres potential potential trial delayed need time kind work figure figure new mechanism kind judge gauge loans need basically reunderwrite loans like based ruling DOJ case. Claude LeBlanc As described letter Justice Reed March 28 referenced, available court going available investor section website well. We believe heat US Bank decision, impact timing trial scope trial. And believe able proceed trial scheduled September. Its pause [ph] sell issues cases developed directions. But weve explained extensively prior remarks letter, case uniquely positioned differentiated market, believe theres clear path trial September. Unidentified Analyst Makes lot sense me. And I actually read letter, good kind articulated ways youre kind different situation relative trustee kind differentiating factors terms rights contractual aspects case. I encouraged guys kind came market buying stock. I think thats important youve illustrated parts valuation company here, barely ascribes value eventdriven potential proceeds value ascribed AFG AAC medium long term. And I like kind reupped buyback bit days. And Im wondering, guys kind Im trying granular kind commitment. But lets say, course year, continue distributions Specialty PC businesses, think theres scope add buyback prices remain compelling later year? David Trick Sure. Its consideration. The stock buyback evaluate regular basis try weigh liquidity versus opportunities market buy stock, opportunistic versus capital deployment new business opportunities. So recurring evolving evaluation capital deployment. And certainly, continue evaluate weeks months come current authorization opportunities deploy capital course year. So continue regularly continue evaluate. Unidentified Analyst Well, Ill endorse thinking point strongly. Operator Thank you. There questions time. This concludes todays conference. Thank participation. You disconnect lines time.LikeSharePrintCommentTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. Please disable adblocker refresh. | 2,022 | [
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https://seekingalpha.com/article/4618963-aapl-stock-potential-apple-gpt-strategy?source=feed_all_articles | 2023-07-22T00:00:00 | en | Apple Stock: Potential Apple GPT Strategy (NASDAQ:AAPL) | Seeking Alpha | Apple Stock: Potential Apple GPT Strategy (NASDAQ:AAPL) | Seeking Alpha
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(AAPL)GOOG, MSFT1 CommentMichael McGrath3.86K FollowersFollowSummaryApple is rumored to be developing its own large language model of AI, similar to Microsoft's Bing and Google's Bard, causing its stock price to rise.The company's AI model being developed, as Apple GPT, is expected to be integrated across all Apple products, applications, and services rather than being a standalone product.Potential applications of Apple GPT include integration into Safari and Siri, a standalone app, advanced capabilities in emails and texts, and new paid generative AI apps from the app store.Apple has unique advantages in applying generative AI.Justin Sullivan/Getty Images News Recent rumors of Apple (NASDAQ:AAPL) developing its own large language model of AI, or generative AI, caused its stock price to jump. Generative AI is an artificial intelligence class that can create new content, such as text, images, software code, and videos. It does this by learning from a large dataset of existing content and then using that data to generate new, similar content. In the simplest sense, generative AI can "generate" text, speech, images, music, video, and software code. Apple hasn't announced any generative AI products or capabilities, but it is working aggressively. Some have coined the term for its development as "Apple GPT," I'll use this term as a proxy to discuss it. The term GPT comes from the popular generative AI application Chat GPT and stands for Generative Pre-trained Transformer. So far, little more than rumors have been disclosed; however, with the impact of generative AI, it is an obvious opportunity for Apple. In this article, I'll analyze the potential for generative AI across Apple's product platforms, its advantages in applying this new technology, and potential investment implications. This is not based on any knowledge of Apple's strategy but on my experience in strategy consulting for technology companies, many of which followed some of the strategy concepts introduced in my books and articles. While Apple is not at the forefront of generative AI, it has the expertise in AI and technical talent to catch up. Most importantly, it has an outstanding platform for incorporating generative AI. Potential Ways Apple Could Use Apple GPT Apple can broadly integrate Apple GPT across all the products, applications, and services in its platform and ecosystem. Let's look at some of the potential. It can add Apple GPT to Safari. Safari is a successful browser, but it is not the most popular. Along with Microsoft Edge, it is in second place to Google Chrome. Safari is the default browser on Apple devices, such as the iPhone, iPad, and Mac, which give it an advantage over other browsers. Google (GOOG) Bard and Microsoft's (MSFT) Bing Chat bring generative AI to their browsers. Apple will need to do the same with Apple GPT for Safari. Will Apple be able to introduce a superior capability to increase browser share or keep it competitive? Its ability to provide a more secure generative technology could be a differentiator. Apple GPT could make dramatic improvements to Siri. Just like the previous example, this is also obvious. Siri has been getting more powerful, but adding Chat GPT-like capabilities would be a giant leap. This would enable intelligent dialog with Siri rather than just a one-way, one-time request. Here is an example: "Hey Siri, we want to go to dinner and a movie tonight. What's playing nearby? OK. What's the most popular? OK, that sounds good. We want to go to dinner after the movie, what show should we go to? Yes, it does depend on where we want to go to dinner, so could you give me some recommendations? OK, we want your third suggestion. Do you know if we can get reservations after the movie? OK, please make that reservation on Open Table based on when the movie would end and the time it would take to get there. OK, please reserve our usual seating on Fandango for the movie if available. Thank you. As you can see, generative Ai incorporated into Siri will provide an entirely new experience. While Alexa will also be able to adopt this technology, it most likely won't be able to integrate with iPhone apps. It could create a standalone Apple GPT app. Apple could also create a standalone GPT app on all its devices to isolate the value of generative AI. This app could build on Apple's commitment to privacy and data security. It strictly controls the privacy of user information and will be expected to continue to do this in any Apple GPT application. If Apple GPT is introduced as a standalone app, most likely, Apple won't charge for it. It can add advanced capabilities to emails and messages. Apple has a strong position in email and texting using its iPhone, iPad, and Macs. There are several exciting opportunities to incorporate generative AI into these products. 1. Integrated editing of emails and texts. There are already add-on products with AI that do this, such as Grammarly, which I use all the time. A wholly integrated capability could displace Grammarly, something Apple regularly does. Perhaps it could acquire Grammarly to get a head start, but it will likely be costly. Microsoft is already adding this to its email. 2. Automatically writing initial drafts of emails and text responses. This is an increasingly widespread use of ChatGPT and its applications. Apple GPT can be integrated directly into mail and messages to simplify this. It could read an email selected and then propose a response. 3. Scan emails on request to identify emails you may want to respond to and propose those responses. Everyone could use this AI tool. You frequently need to remember an email that requires a response, and this would make you much more productive. Apple has all the emails and texts on your computer or device and can scan them intelligently when requested using a date range, subject, or source. 4. It could automatically add to-do and calendar items from your email while at it. Update my to-do list by reviewing my emails and interpreting tasks I need to do. It's easier than adding them individually. While some AI capabilities are already in Calendar, these could be more advanced. It can add Generative AI to Apple's iWork applications. Microsoft has introduced generative AI in 365 Copilot for its Office applications, and Apple will most likely do the same for its iWork applications Pages, Numbers, and Keynote. While the obvious use is editing, there are more advanced capabilities. Here are Microsoft's highlights of how this can be used: With Copilot in Word, you can jump-start the creative process so you never start with a blank slate again. Copilot gives you a first draft to edit and iterate on - saving hours in writing, sourcing, and editing time. Sometimes Copilot will be right, other times usefully wrong - but it will always put you further ahead. You're always in control as the author, driving your unique ideas forward, prompting Copilot to shorten, rewrite or give feedback. Copilot in PowerPoint helps you create beautiful presentations with a simple prompt, adding relevant content from a document you made last week or last year. And with Copilot in Excel, you can analyze trends and create professional-looking data visualizations in seconds. Microsoft plans to monetize 365 Copilot, expecting a significant revenue increase. It announced pricing at $30 per user per month for Microsoft 365 E3, E5, Business Standard, and Business Premium customers. Generative AI will also be incorporated into Google Workspace applications like Gmail, Docs, and Sheets. Apple's iWork product suite is a collection of productivity apps available for macOS, iPadOS, and iOS. The suite includes Pages, Numbers, and Keynote. A crucial distinction is that Apple's iWork applications are free to Mac, iPad, and iPhone customers, so it's unclear whether Apple will charge for the additional generative AI capabilities. It can increase capabilities across a broad range of Apple products and applications. Apple provides a wide range of free apps on iOS, in addition to Safari, Mail, Siri, and Messages already mentioned. These include Photos, Maps, Calendars, Contacts, Notes, Reminders, Home, News, Weather, Wallet, Apple Pay, Notifications, and Health. These apps are all free to download and use, and they are available on all iOS devices. There will be almost unlimited opportunities for Apple to enhance these apps with generative AI. Here are a few examples: Chat to help users better select movies, music, or news. Suggest stops along a trip in Maps for food or fuel based on experience. Automatically extract recommended reminders from email and messages More intelligently suggest calendar items. Automatically clean up unused contacts, music, etc. Hold in-depth conversations on health using data collected in the Health app. While adding these new capabilities won't directly generate additional revenue for Apple, it will continue to extend the advantages of these free apps making IOS devices even more attractive. It can add generative AI to its content services. Apple's content services are lucrative, and I expect it to incorporate generative AI. In its 2022 Q1 earnings call, Apple disclosed over 700 million paid subscriptions across its content services portfolio. This includes subscriptions to Apple Music, Apple TV+, Apple Arcade, Apple News+, and Apple Fitness+. These content services are available on all Apple devices and through the internet. Apple is already integrating AI into these services to help users select and organize content intelligently. Generative AI may provide a broader range of capabilities for these services that will continue to attach users to the Apple platform. Adding paid generative AI apps from the app store should increase revenue for Apple. Hundreds of new specialized applications are being developed based on ChatGPT, with most of these offered online through websites. Eventually, the more popular ones will be offered as paid apps in the app store and provide Apple with a new source of app store revenue. Most likely, these will incorporate Apple's GPT instead of ChatGPT. Generative AI tools will be supplied to app developers. Generative AI is revolutionizing software development because it can generate entire software applications on request. Look for Apple to take advantage of this in its application development tools. Apple has a vast suite of tools in its software developer kit (SDK), including Xcode, Swift, Metal, Machine Learning, and Swift Playgrounds for students learning to develop software. Expect Apple to incorporate the ability to generate software automatically in these development tools and further improve its lock on application development. Apple can significantly improve customer support using Apple GPT. Apple excels in many areas, but one aspect that could dramatically improve is its post-sales customer support. The complexity of Apple products can pose challenges for users, especially when trying to utilize new capabilities that may vary depending on the product and IOS versions they have, along with specific settings. Most people search for help on YouTube videos to learn how to use certain features. Apple's unique challenge in providing efficient support stems from its large customer base, with over a billion active devices, millions of applications, and a wide range of IOS and hardware combinations. Employing a massive customer support staff to handle such diverse queries would be impractical and costly. By implementing generative AI, users could inquire with Apple GPT support about using specific features, and the system could analyze the information about their device model, IOS version, and relevant settings to provide accurate and precise responses in a conversational format. This would mark a significant upgrade for Apple's customer support capabilities and is now within reach with generative AI. This customer support solution could even be a paid service for Apple. Apple's Advantages in Introducing Apple GPT Apple has some important advantages in applying Apple GPT, its generative AI technology. 1. It has deep and extensive expertise in AI. For many years, Apple has been developing and implementing AI broadly across its entire platform of products, applications, and services. It invests more than $26 billion in R&D annually, and I expect it will invest billions in AI. While generative AI is a separate class of AI, many of these skills and technologies are similar. Apple has already started leveraging this to develop Apple GPT. 2. It can uniquely offer privacy in generative AI. There are many concerns about privacy in generative AI. People wonder if the information they provide will become available for search by others or used to target them for advertising. Apple's integrated hardware/software platform gives it a unique advantage in implementing data privacy. For example, it encrypts all credit card information in Apple Pay using a proprietary firmware encryption capability. Generative AI currently needs to run on powerful computers in the cloud and is unlikely to be executed on a device such as an iPhone for a long time. However, Apple IOS can encrypt all generative AI requests and decrypt them when cloud computing servers process them. 3. Apple has a unique platform strategy. Apple's platform strategy has been the most critical factor in its success over the last two decades. Its control over the hardware device, operating systems, and applications gives it unique advantages. It can design firmware to support applications and provide operating system functions to support applications. For example, it could provide preprocessing of requests to Apple GPT to more correctly edit the wording in the request or parse the request better to make it more efficient to process on the servers in the cloud. Apple has an extensive range of products, applications, operating system software, development tools, and content services that are all part of a common platform. It can develop Apple GPT and then integrate it into all its applications, systems, services, and even the apps it sells in the app store. You can't underestimate the importance of this leverage to Apple. It can invest a substantial amount and get an extensive range of benefits that no one else can. Conclusion As you can see, the possibilities for Apple to apply Apple GPT, or whatever its generative IA technology will be called, are extensive. Because of its broad range of products, software, and services, it can leverage this emerging technology better than anyone else. However, I don't expect any Apple GPT announcements for a while. Apple traditionally follows a successful strategy of letting others pioneer new technology and then bring the latest technology to market better than others. Apple also follows a well-established product introduction cadence with its new software announced in June and new devices in September. I expect Apple to incorporate generative AI as the primary enhancement to its applications and operating systems in June 2024. Tim Cook discussed AI during his May earnings conference call, indicating that Apple will be adding AI to more of its products, but, he said, on a "very thoughtful basis." Expect Apple to be deliberate and thorough instead of rushing anything to market. What will be the benefits of Apple GPT to Apple and its investors? While there may be some incremental revenue, most of the benefits of generative AI for Apple are further securing the dominance of its platform and ecosystem. Microsoft plans to charge for Copilot, which could generate billions in incremental revenue, depending on estimates. Still, Apple's strategy has always been to incorporate more free applications and functionality into its ecosystem to make a superior complete product offering that others can't compete with. I expect generative AI will further that advantage. Here is another interesting thought. How much additional revenue could Apple generate if it ever decided to charge for its free apps? Overall, Apple GPT will provide broad improvements for Apple that should be reflected in its continuing barriers to entry for competitors.This article was written byMichael McGrath3.86K FollowersFollowAuthor of Autonomous Vehicles: Opportunities, Strategies, and Disruptions. Michael E. McGrath is a proven expert on the strategies of technology-based companies. He has researched autonomous vehicles for the last 3 years, leading to the original publication of this book, as well as the recently expanded and updated second edition. He is a founder of PRTM, the leading management consulting firm to technology companies, former CEO of i2Technologies and experienced board member, serving on four public company boards, as well as several venture capital-funded companies. In addition to Autonomous Vehicles, he is the author of Product Strategy for High-Technology Companies, which has been used by many technology-based companies to guide their strategies.Analyst’s Disclosure: I/we have a beneficial long position in the shares of AAPL, GOOG, MSFT either through stock ownership, options, or other derivatives. 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. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.LikeShareComment (1)Recommended For YouComments (1)NewestPublishkyle2503Today, 7:37 AMComments (76)I think there is room for monetization on Apple GPT just that they haven't figured out how to do it without sacrificing "privacy". It could end up as a local device (iPhone/ iPad/ Apple Watch/ iMac/ Vision Pro) AI assistant that would seamlessly integrate with existing iOS platform. That said, if Apple GPT could increase workflow productivity among enterprise/ school/ creative users seamlessly, it would have a lot more room for monetization.ReplyLikeDisagree with this article? Submit your own. To report a factual error in this article, click here. Your feedback matters to us!To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. | Apple Stock: Potential Apple GPT Strategy (NASDAQ:AAPL) | Apple Stock: Potential Apple GPT Strategy NASDAQ:AAPL Seeking Alpha Skip contentHomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisonsEntering text input field update search result belowJoin Symbols, analysts, keywordsLog inHomeStock IdeasLong IdeasTechApple: Potential Apple GPT StrategyJul. 22, 2023 7:30 AM ETApple . AAPLGOOG, MSFT1 CommentMichael McGrath3.86K FollowersFollowSummaryApple rumored developing large language model AI, similar Microsofts Bing Googles Bard, causing stock price rise.The companys AI model developed, Apple GPT, expected integrated Apple products, applications, services standalone product.Potential applications Apple GPT include integration Safari Siri, standalone app, advanced capabilities emails texts, new paid generative AI apps app store.Apple unique advantages applying generative AI.Justin SullivanGetty Images News Recent rumors Apple NASDAQ:AAPL developing large language model AI, generative AI, caused stock price jump. Generative AI artificial intelligence class create new content, text, images, software code, videos. It learning large dataset existing content data generate new, similar content. In simplest sense, generative AI generate text, speech, images, music, video, software code. Apple announced generative AI products capabilities, working aggressively. Some coined term development Apple GPT, Ill use term proxy discuss it. The term GPT comes popular generative AI application Chat GPT stands Generative Pretrained Transformer. So far, little rumors disclosed; however, impact generative AI, obvious opportunity Apple. In article, Ill analyze potential generative AI Apples product platforms, advantages applying new technology, potential investment implications. This based knowledge Apples strategy experience strategy consulting technology companies, followed strategy concepts introduced books articles. While Apple forefront generative AI, expertise AI technical talent catch up. Most importantly, outstanding platform incorporating generative AI. Potential Ways Apple Could Use Apple GPT Apple broadly integrate Apple GPT products, applications, services platform ecosystem. Lets look potential. It add Apple GPT Safari. Safari successful browser, popular. Along Microsoft Edge, second place Google Chrome. Safari default browser Apple devices, iPhone, iPad, Mac, advantage browsers. Google GOOG Bard Microsofts MSFT Bing Chat bring generative AI browsers. Apple need Apple GPT Safari. Will Apple able introduce superior capability increase browser share competitive? Its ability provide secure generative technology differentiator. Apple GPT dramatic improvements Siri. Just like previous example, obvious. Siri getting powerful, adding Chat GPTlike capabilities giant leap. This enable intelligent dialog Siri oneway, onetime request. Here example: Hey Siri, want dinner movie tonight. Whats playing nearby? OK. Whats popular? OK, sounds good. We want dinner movie, to? Yes, depend want dinner, recommendations? OK, want suggestion. Do know reservations movie? OK, reservation Open Table based movie end time there. OK, reserve usual seating Fandango movie available. Thank you. As see, generative Ai incorporated Siri provide entirely new experience. While Alexa able adopt technology, likely wont able integrate iPhone apps. It create standalone Apple GPT app. Apple create standalone GPT app devices isolate value generative AI. This app build Apples commitment privacy data security. It strictly controls privacy user information expected continue Apple GPT application. If Apple GPT introduced standalone app, likely, Apple wont charge it. It add advanced capabilities emails messages. Apple strong position email texting iPhone, iPad, Macs. There exciting opportunities incorporate generative AI products. 1. Integrated editing emails texts. There addon products AI this, Grammarly, I use time. A wholly integrated capability displace Grammarly, Apple regularly does. Perhaps acquire Grammarly head start, likely costly. Microsoft adding email. 2. Automatically writing initial drafts emails text responses. This increasingly widespread use ChatGPT applications. Apple GPT integrated directly mail messages simplify this. It read email selected propose response. 3. Scan emails request identify emails want respond propose responses. Everyone use AI tool. You frequently need remember email requires response, productive. Apple emails texts device scan intelligently requested date range, subject, source. 4. It automatically add todo calendar items email it. Update todo list reviewing emails interpreting tasks I need do. Its easier adding individually. While AI capabilities Calendar, advanced. It add Generative AI Apples iWork applications. Microsoft introduced generative AI 365 Copilot Office applications, Apple likely iWork applications Pages, Numbers, Keynote. While obvious use editing, advanced capabilities. Here Microsofts highlights used: With Copilot Word, jumpstart creative process start blank slate again. Copilot gives draft edit iterate saving hours writing, sourcing, editing time. Sometimes Copilot right, times usefully wrong ahead. Youre control author, driving unique ideas forward, prompting Copilot shorten, rewrite feedback. Copilot PowerPoint helps create beautiful presentations simple prompt, adding relevant content document week year. And Copilot Excel, analyze trends create professionallooking data visualizations seconds. Microsoft plans monetize 365 Copilot, expecting significant revenue increase. It announced pricing 30 user month Microsoft 365 E3, E5, Business Standard, Business Premium customers. Generative AI incorporated Google Workspace applications like Gmail, Docs, Sheets. Apples iWork product suite collection productivity apps available macOS, iPadOS, iOS. The suite includes Pages, Numbers, Keynote. A crucial distinction Apples iWork applications free Mac, iPad, iPhone customers, unclear Apple charge additional generative AI capabilities. It increase capabilities broad range Apple products applications. Apple provides wide range free apps iOS, addition Safari, Mail, Siri, Messages mentioned. These include Photos, Maps, Calendars, s, Notes, Reminders, Home, News, Weather, Wallet, Apple Pay, Notifications, Health. These apps free download use, available iOS devices. There unlimited opportunities Apple enhance apps generative AI. Here examples: Chat help users better select movies, music, news. Suggest stops trip Maps food fuel based experience. Automatically extract recommended reminders email messages More intelligently suggest calendar items. Automatically clean unused contacts, music, etc. Hold indepth conversations health data collected Health app. While adding new capabilities wont directly generate additional revenue Apple, continue extend advantages free apps making IOS devices attractive. It add generative AI content services. Apples content services lucrative, I expect incorporate generative AI. In 2022 Q1 earnings call, Apple disclosed 700 million paid subscriptions content services portfolio. This includes subscriptions Apple Music, Apple TV, Apple Arcade, Apple News, Apple Fitness. These content services available Apple devices internet. Apple integrating AI services help users select organize content intelligently. Generative AI provide broader range capabilities services continue attach users Apple platform. Adding paid generative AI apps app store increase revenue Apple. Hundreds new specialized applications developed based ChatGPT, offered online websites. Eventually, popular ones offered paid apps app store provide Apple new source app store revenue. Most likely, incorporate Apples GPT instead ChatGPT. Generative AI tools supplied app developers. Generative AI revolutionizing software development generate entire software applications request. Look Apple advantage application development tools. Apple vast suite tools software developer kit SDK, including Xcode, Swift, Metal, Machine Learning, Swift Playgrounds students learning develop software. Expect Apple incorporate ability generate software automatically development tools improve lock application development. Apple significantly improve customer support Apple GPT. Apple excels areas, aspect dramatically improve postsales customer support. The complexity Apple products pose challenges users, especially trying utilize new capabilities vary depending product IOS versions have, specific settings. Most people search help YouTube videos learn use certain features. Apples unique challenge providing efficient support stems large customer base, billion active devices, millions applications, wide range IOS hardware combinations. Employing massive customer support staff handle diverse queries impractical costly. By implementing generative AI, users inquire Apple GPT support specific features, analyze information device model, IOS version, relevant settings provide accurate precise responses conversational format. This mark significant upgrade Apples customer support capabilities reach generative AI. This customer support solution paid service Apple. Apples Advantages Introducing Apple GPT Apple important advantages applying Apple GPT, generative AI technology. 1. It deep extensive expertise AI. For years, Apple developing implementing AI broadly entire platform products, applications, services. It invests 26 billion RD annually, I expect invest billions AI. While generative AI separate class AI, skills technologies similar. Apple started leveraging develop Apple GPT. 2. It uniquely offer privacy generative AI. There concerns privacy generative AI. People wonder information provide available search target advertising. Apples integrated hardwaresoftware platform gives unique advantage implementing data privacy. For example, encrypts credit card information Apple Pay proprietary firmware encryption capability. Generative AI currently needs run powerful computers cloud unlikely executed device iPhone long time. However, Apple IOS encrypt generative AI requests decrypt cloud computing servers process them. 3. Apple unique platform strategy. Apples platform strategy critical factor success decades. Its control hardware device, operating systems, applications gives unique advantages. It design firmware support applications provide operating functions support applications. For example, provide preprocessing requests Apple GPT correctly edit wording request parse request better efficient process servers cloud. Apple extensive range products, applications, operating software, development tools, content services common platform. It develop Apple GPT integrate applications, systems, services, apps sells app store. You underestimate importance leverage Apple. It invest substantial extensive range benefits can. Conclusion As see, possibilities Apple apply Apple GPT, generative IA technology called, extensive. Because broad range products, software, services, leverage emerging technology better else. However, I dont expect Apple GPT announcements while. Apple traditionally follows successful strategy letting pioneer new technology bring latest technology market better others. Apple follows wellestablished product introduction cadence new software announced June new devices September. I expect Apple incorporate generative AI primary enhancement applications operating systems June 2024. Tim Cook discussed AI May earnings conference call, indicating Apple adding AI products, but, said, thoughtful basis. Expect Apple deliberate thorough instead rushing market. What benefits Apple GPT Apple investors? While incremental revenue, benefits generative AI Apple securing dominance platform ecosystem. Microsoft plans charge Copilot, generate billions incremental revenue, depending estimates. Still, Apples strategy incorporate free applications functionality ecosystem superior complete product offering compete with. I expect generative AI advantage. Here interesting thought. How additional revenue Apple generate decided charge free apps? Overall, Apple GPT provide broad improvements Apple reflected continuing barriers entry competitors.This article written byMichael McGrath3.86K FollowersFollowAuthor Autonomous Vehicles: Opportunities, Strategies, Disruptions. Michael E. McGrath proven expert strategies technologybased companies. He researched autonomous vehicles 3 years, leading original publication book, recently expanded updated second edition. He founder PRTM, leading management consulting firm technology companies, CEO i2Technologies experienced board member, serving public company boards, venture capitalfunded companies. In addition Autonomous Vehicles, author Product Strategy HighTechnology Companies, technologybased companies guide strategies.Analysts Disclosure: Iwe beneficial long position shares AAPL, GOOG, MSFT stock ownership, options, derivatives. I wrote article myself, expresses opinions. I receiving compensation Seeking Alpha. I business relationship company stock mentioned article. Seeking Alphas Disclosure: Past performance guarantee future results. No recommendation advice given investment suitable particular investor. Any views opinions expressed reflect Seeking Alpha whole. Seeking Alpha licensed securities dealer, broker US investment adviser investment bank. Our analysts party authors include professional investors individual investors licensed certified institute regulatory body.LikeShareComment 1Recommended For YouComments 1NewestPublishkyle2503Today, 7:37 AMComments 76I think room monetization Apple GPT havent figured sacrificing privacy. It end local device iPhone iPad Apple Watch iMac Vision Pro AI assistant seamlessly integrate existing iOS platform. That said, Apple GPT increase workflow productivity enterprise school creative users seamlessly, lot room monetization.ReplyLikeDisagree article? Submit own. To report factual error article, click here. Your feedback matters usTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. Please disable adblocker refresh. | 2,023 | [
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https://seekingalpha.com/article/4635865-regulating-ai?source=feed_all_articles | 2023-09-18T00:00:00 | en | Regulating AI | Seeking Alpha | Regulating AI | Seeking Alpha
Skip to contentExplore Alpha PicksSubscribe to PremiumHomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind & CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisonsExplore Alpha PicksSubscribe to PremiumEntering text into the input field will update the search result belowJoin nowSearch for Symbols, analysts, keywordsLog inHomeMarket OutlookEconomy AnalysisRegulating AISep. 18, 2023 4:13 PM ETiShares Russell 2000 ETF (IWM), QQQSPY, IVV, VOO, VTI, DIA, SP500, DJI, SPX, NDX, COMP.IND, INDU1 Comment2 LikesJohn M. Mason16.96K FollowersFollowSummaryOriginal support for cryptocurrencies came from libertarian sources seeking to create a government-free currency.The concept of unregulated markets is attractive, but reality shows that unregulated markets can be taken advantage of.Government intervention in cryptocurrencies can be seen as both necessary for protection and potentially negative.Where is the appropriate regulation and oversight going to come from? Parradee Kietsirikul The original support for cryptocurrencies came from libertarian sources. The goal was to create a "currency" that did not have anything to do with the government or with regulation. As an ideal, this particular view of the world is very attractive. The concept of free markets, unencumbered by government regulations, seems like something we would like to strive for. But, then reality set in. Create a currency with no government rules or regulations? That is not really practical. People take advantage of unregulated markets and do things that are not in the best interest of the market or of the "true" user of the market. Fraud and other sources of corruption always seem to enter into a "new" marketplace that is not, in some way protected. However, the entrance of government into the picture can leave one also leave one with a bad taste in one's mouth. Take, for instance, the picture that Andy Kessler draws in the Wall Street Journal: "Doesn't the tech industry know the real goal of Congress and unions is to slow AI just enough to insert themselves into the cash, control, and maybe even censorship stream?" "This is digital extortion. They're saying: 'We'll let you grow but we get our cut.'" Well, this, one could say, is the other side of the picture. That is, we are drawing the picture of possible market conditions for AI products and services. At one end...totally free, unregulated markets. At the other end...rules and regulations that benefit others, while leaving the market "less than efficient." Then there is the in-between. But, how does this work out? Well, there is another picture of this situation. The ones just described are ones assuming complete information. That is not exactly how the world works. Radical Uncertainty Another article in the Monday Wall Street Journal discusses a new book, one written by the mathematician Coco Krumme titled "Optimal Illusions." In the review, Ms. Krumme is described as exploring "why the quest for the best so often falls short." "The hidden assumption behind optimization, she notes, is that all relevant variables can be identified and accounted for in order to achieve the ideal outcome." "Yet unknowns and uncertainties can upend the most carefully laid plans." Ms. Krumme then issued the warning, "Optimization was invented, over time, with the idea of making a system, or a society, more perfect." "We often see the opposite happening." And, this is precisely the case with new innovation. With a new innovation, we cannot identify or account for, "all relevant variables." We cannot identify or account for, the "ideal outcome." Therefore, when we start to regulate and control a "new innovation" and we come up short. We cause the market to create solutions that are not optimal. We cause less-than-ideal outcomes and operating procedures. We cause investments to be inefficient. And, so we move on into the future with a lot of the pathways taken as "just plain wrong." But, we need rules and regulations going forward. Totally free markets, as mentioned above, have problems because people can misuse the markets and can harm those who conduct their business with honesty and integrity. So, what do we do? The Current Situation In Crypto Right now, it appears as if the movement of regulators in the Crypto markets has had results that many feel were not warranted. Scott Chipolina writes in the Financial Times: "The recent tumult in crypto markets, and ensuing regulatory crackdowns on the sector's major players, have dented the appeal of their underlying blockchain technology to traditional finance operators." An unintended consequence. "At the height of enthusiasm for crypto in 2021, blockchain technology commanded mainstream attention...." "The sector also drew sizeable investments from venture capital funds during the market's record-setting bull run. According to capital markets data provider PitchBook, investors poured roughly $30 billion into crypto projects in both 2021 and 2022." "This year, though, the figure is set to be nearer $10 billion as investors' exuberance has subsided and the regulatory pressure on companies at the epicenter of blockchain has prompted traditional finance to reconsider its approach to a technology once heralded as a new dawn for banking." In other words, regulatory efforts have resulted in a potentially very useful innovation living way below its possible contribution to the world. What To Do? This is a very delicate situation. Investors, and, I would argue, innovators need regulation. Bad things can happen. There need to be some protections. Bernard Mensah, president of international, Bank of America, writes in the Financial Times that: "Governments will need to have a clear vision of how to both regulate and capitalize on technology's opportunities and disruptive power." "Will we see more following the lead of the UAE, the first country to appoint a dedicated Minister of AI?" But, still, radical uncertainty prevails. And, as Mr. Mensah states, "many of the most exciting new technologies will still fail." But, government...and regulation...need to avoid.. if possible...being a major cause of the failures. Regulation is needed. Regulation is very difficult to carry out successfully. And, we don't, as Mr. Kessler suggested, need "Congress and unions" carving out their portion of the rewards. Investors Innovation is vital to the modern world. We need to have people taking risks to start up something new. We need investors to put their money into these startups and early-stage initiatives. We need investor protection against all the other greedy people who attempt to steal a piece of the pie. Where is the leadership going to come from?This article was written byJohn M. Mason16.96K FollowersFollowJohn M. Mason writes on current monetary and financial events. He is the founder and CEO of New Finance, LLC. Dr. Mason has been President and CEO of two publicly traded financial institutions and the executive vice president and CFO of a third. He has also served as a special assistant to the secretary of the Department of Housing and Urban Development in Washington, D. C. and as a senior economist within the Federal Reserve System. He formerly was on the faculty of the Finance Department, Wharton School, the University of Pennsylvania and was a professor at Penn State University and taught in both the Management Division and the Engineering Division. Dr. Mason has served on the boards of venture capital funds and other private equity funds. He has worked with young entrepreneurs, especially within the urban environment, starting or running companies primarily connected with Information Technology.Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. 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. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.Like (2)ShareComment (1)Recommended For YouComments (1)NewestPublishGrisbyToday, 4:20 PMComments (369)It may already be too late, AI will all too soon be regulating us, and our investments, and we'll be virtually powerless to regain control.ReplyLikeDisagree with this article? Submit your own. To report a factual error in this article, click here. Your feedback matters to us!To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. | Regulating AI | Regulating AI Seeking Alpha Skip contentExplore Alpha Picks PremiumHomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisonsExplore Alpha Picks PremiumEntering text input field update search result belowJoin Symbols, analysts, keywordsLog inHomeMarket OutlookEconomy AnalysisRegulating AISep. 18, 2023 4:13 PM ETiShares Russell 2000 ETF IWM, QQQSPY, IVV, VOO, VTI, DIA, SP500, DJI, SPX, NDX, COMP.IND, INDU1 Comment2 LikesJohn M. Mason16.96K FollowersFollowSummaryOriginal support cryptocurrencies came libertarian sources seeking create governmentfree currency.The concept unregulated markets attractive, reality shows unregulated markets taken advantage of.Government intervention cryptocurrencies seen necessary protection potentially negative.Where appropriate regulation oversight going come from? Parradee Kietsirikul The original support cryptocurrencies came libertarian sources. The goal create currency government regulation. As ideal, particular view world attractive. The concept free markets, unencumbered government regulations, like like strive for. But, reality set in. Create currency government rules regulations? That practical. People advantage unregulated markets things best market true user market. Fraud sources corruption enter new marketplace not, way protected. However, entrance government picture leave leave bad taste ones mouth. Take, instance, picture Andy Kessler draws Wall Street Journal: Doesnt tech industry know real goal Congress unions slow AI insert cash, control, maybe censorship stream? This digital extortion. Theyre saying: Well let grow cut. Well, this, say, picture. That is, drawing picture possible market conditions AI products services. At end...totally free, unregulated markets. At end...rules regulations benefit others, leaving market efficient. Then inbetween. But, work out? Well, picture situation. The ones described ones assuming complete information. That exactly world works. Radical Uncertainty Another article Monday Wall Street Journal discusses new book, written mathematician Coco Krumme titled Optimal Illusions. In review, Ms. Krumme described exploring quest best falls short. The hidden assumption optimization, notes, relevant variables identified accounted order achieve ideal outcome. Yet unknowns uncertainties upend carefully laid plans. Ms. Krumme issued warning, Optimization invented, time, idea making system, society, perfect. We opposite happening. And, precisely case new innovation. With new innovation, identify account for, relevant variables. We identify account for, ideal outcome. Therefore, start regulate control new innovation come short. We cause market create solutions optimal. We cause lessthanideal outcomes operating procedures. We cause investments inefficient. And, future lot pathways taken plain wrong. But, need rules regulations going forward. Totally free markets, mentioned above, problems people misuse markets harm conduct business honesty integrity. So, do? The Current Situation In Crypto Right now, appears movement regulators Crypto markets results feel warranted. Scott Chipolina writes Financial Times: The recent tumult crypto markets, ensuing regulatory crackdowns sectors major players, dented appeal underlying blockchain technology traditional finance operators. An unintended consequence. At height enthusiasm crypto 2021, blockchain technology commanded mainstream attention.... The sector drew sizeable investments venture capital funds markets recordsetting bull run. According capital markets data provider PitchBook, investors poured roughly 30 billion crypto projects 2021 2022. This year, though, figure set nearer 10 billion investors exuberance subsided regulatory pressure companies epicenter blockchain prompted traditional finance reconsider approach technology heralded new dawn banking. In words, regulatory efforts resulted potentially useful innovation living way possible contribution world. What To Do? This delicate situation. Investors, and, I argue, innovators need regulation. Bad things happen. There need protections. Bernard Mensah, president international, Bank America, writes Financial Times that: Governments need clear vision regulate capitalize technologys opportunities disruptive power. Will following lead UAE, country appoint dedicated Minister AI? But, still, radical uncertainty prevails. And, Mr. Mensah states, exciting new technologies fail. But, government...and regulation...need avoid.. possible...being major cause failures. Regulation needed. Regulation difficult carry successfully. And, dont, Mr. Kessler suggested, need Congress unions carving portion rewards. Investors Innovation vital modern world. We need people taking risks start new. We need investors money startups earlystage initiatives. We need investor protection greedy people attempt steal piece pie. Where leadership going come from?This article written byJohn M. Mason16.96K FollowersFollowJohn M. Mason writes current monetary financial events. He founder CEO New Finance, LLC. Dr. Mason President CEO publicly traded financial institutions executive vice president CFO third. He served special assistant secretary Department Housing Urban Development Washington, D. C. senior economist Federal Reserve System. He faculty Finance Department, Wharton School, University Pennsylvania professor Penn State University taught Management Division Engineering Division. Dr. Mason served boards venture capital funds private equity funds. He worked young entrepreneurs, especially urban environment, starting running companies primarily connected Information Technology.Analysts Disclosure: Iwe stock, option similar derivative position companies mentioned, plans initiate positions 72 hours. I wrote article myself, expresses opinions. I receiving compensation Seeking Alpha. I business relationship company stock mentioned article. Seeking Alphas Disclosure: Past performance guarantee future results. No recommendation advice given investment suitable particular investor. Any views opinions expressed reflect Seeking Alpha whole. Seeking Alpha licensed securities dealer, broker US investment adviser investment bank. Our analysts party authors include professional investors individual investors licensed certified institute regulatory body.Like 2ShareComment 1Recommended For YouComments 1NewestPublishGrisbyToday, 4:20 PMComments 369It late, AI soon regulating us, investments, virtually powerless regain control.ReplyLikeDisagree article? Submit own. To report factual error article, click here. Your feedback matters usTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. Please disable adblocker refresh. | 2,023 | [
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https://seekingalpha.com/news/3639948-servicenow-to-acquire-ai-pioneer-element-ai | 2020-11-30T00:00:00 | en | ServiceNow to acquire AI pioneer Element AI (NYSE:NOW) | Seeking Alpha | ServiceNow to acquire AI pioneer Element AI (NYSE:NOW) | 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 AlphaTech | M&AServiceNow to acquire AI pioneer Element AINov. 30, 2020 9:13 AM ET|About: ServiceNow, Inc. (NOW)|By: Jignesh Mehta, SA News Editor
ServiceNow (NYSE:NOW) has signed an agreement to acquire Element AI, an artificial intelligence company. NOW to establish an AI innovation Hub in Canada.
Element AI was founded in Oct. 2016 by Jean-François Gagné and co-founders Yoshua Bengio, Anne Martel, Nicolas Chapados, and Philippe Beaudoin, along with Jean-Sébastien Cournoyer of Montreal venture capital fund Real Ventures.
Element AI's first standalone product Underwriting Partner, an AI-assisted insurance underwriting workflow software, was released in Sept. 2019. The company also released Knowledge Scout, a platform for data set management in manufacturing companies.
The acquisition of Element AI is NOW’s latest strategic investment to accelerate AI innovation in the Now Platform.
ServiceNow expects to complete the acquisition in early 2021.
Financial terms weren't disclosed.
Click to subscribe to real-time analytics on NOWNow read: Cognizant Technology Solutions: FCF Generator Is Buyback-Heavy, Dividend-Light »From other sitesCramer: Watch ServiceNow to see how cloud stocks may perform going forward Video at CNBC.com (Nov 11, 2020)Companies are planning for remote work through 2021 due to Covid, says ServiceNow CEO Video at CNBC.com (Oct 29, 2020)ServiceNow CEO Bill McDermott breaks down the company's Q3 earnings beat Video at CNBC.com (Oct 29, 2020)ServiceNow CEO Bill McDermott was a big dealmaker at SAP, but he's taking a different approach today Video at CNBC.com (Jul 30, 2020)Digital transformation the 'investment opportunity of the generation,' ServiceNow CEO claims Video at CNBC.com (May 27, 2020)Seeking Alpha
RSS Feeds|Advertise with Us|Sitemap|About Us|Feedback|Careers|Contact UsTerms of Use|Privacy|Market Data Sources|© 2020 Seeking Alpha | ServiceNow to acquire AI pioneer Element AI (NYSE:NOW) | ServiceNow acquire AI pioneer Element AI NYSE:NOW 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 AlphaTech MAServiceNow acquire AI pioneer Element AINov. 30, 2020 9:13 AM ETAbout: ServiceNow, . NOWBy: Jignesh Mehta, SA News Editor ServiceNow NYSE:NOW signed agreement acquire Element AI, artificial intelligence company. NOW establish AI innovation Hub Canada. Element AI founded Oct. 2016 JeanFranois Gagn cofounders Yoshua Bengio, Anne Martel, Nicolas Chapados, Philippe Beaudoin, JeanSbastien Cournoyer Montreal venture capital fund Real Ventures. Element AIs standalone product Underwriting Partner, AIassisted insurance underwriting workflow software, released Sept. 2019. The company released Knowledge Scout, platform data set management manufacturing companies. The acquisition Element AI NOWs latest strategic investment accelerate AI innovation Now Platform. ServiceNow expects complete acquisition early 2021. Financial terms werent disclosed. Click subscribe realtime analytics NOWNow read: Cognizant Technology Solutions: FCF Generator Is BuybackHeavy, DividendLight From sitesCramer: Watch ServiceNow cloud stocks perform going forward Video Nov 11, 2020Companies planning remote work 2021 Covid, says ServiceNow CEO Video Oct 29, 2020ServiceNow CEO Bill McDermott breaks companys Q3 earnings beat Video Oct 29, 2020ServiceNow CEO Bill McDermott big dealmaker SAP, hes taking different approach today Video Jul 30, 2020Digital transformation investment opportunity generation, ServiceNow CEO claims Video May 27, 2020Seeking Alpha RSS FeedsAdvertise UsSitemapFeedbackCareers UsTerms UsePrivacyMarket Data Sources 2020 Seeking Alpha | 2,020 | [
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https://seekingalpha.com/news/3816597-vicor-plummets-on-cjs-securities-downgrade-amid-rumor-of-nvidia-ai-chip-excluding-vicor | 2022-03-23T00:00:00 | en | Vicor plummets on CJS Securities downgrade to Market Perform amid rumor of Nvidia AI chip | Seeking Alpha | Vicor plummets on CJS Securities downgrade to Market Perform amid rumor of Nvidia AI chip | Seeking AlphaSeeking Alpha - Go to HomepageTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationWatch & ListenOn the MoveVicor plummets on CJS Securities downgrade amid rumor of Nvidia AI chip excluding VicorMar. 23, 2022 1:15 PM ETVicor Corporation (VICR)By: Khyathi Dalal, SA News Editor Andy/iStock via Getty Images Vicor (NASDAQ:VICR) plunged 17.6% in trade today after CJS Securities analyst Jonathan Tanwanteng downgraded the stock to Market Perform from Outperform as Nvidia's new AI chip may exclude Vicor. The New NVDA H100 AI Processor Images do not show VICR parts possible led by capacity constraints; this could lead to half of growth in advanced products of Vicor could be at risk as Nvidia is its largest customer. Yesterday, Nvidia unveiled a plethora of new products wherein it launched new Hopper H100 GPU with 80B transistors. However, with Vicor's new facility expansion in Q2 could lead to full capacity in Q3 thereby leading to removal of capacity constraints and making impacting a potential Nvidia board revision. Analyst indicates that his estimates and price target are under review which stood at $150 earlier. In the past 1-month, the stock has lost 33.5% and is currently trading near its 52-week low levels. In early March, SA Contributor Monplanet Capital Management said that Vicor's advanced products and new markets will likely push the stock up again. To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. | Vicor plummets on CJS Securities downgrade to Market Perform amid rumor of Nvidia AI chip | Vicor plummets CJS Securities downgrade Market Perform amid rumor Nvidia AI chip Seeking AlphaSeeking Alpha Go HomeTrendingMy PortfolioMy AuthorsTop StocksLatest NewsMarketsStock IdeasDividendsETFsEducationWatch ListenOn MoveVicor plummets CJS Securities downgrade amid rumor Nvidia AI chip excluding VicorMar. 23, 2022 1:15 PM ETVicor Corporation VICRBy: Khyathi Dalal, SA News Editor AndyiStock Getty Images Vicor NASDAQ:VICR plunged 17.6 trade today CJS Securities analyst Jonathan Tanwanteng downgraded stock Market Perform Outperform Nvidias new AI chip exclude Vicor. The New NVDA H100 AI Processor Images VICR parts possible led capacity constraints; lead half growth advanced products Vicor risk Nvidia largest customer. Yesterday, Nvidia unveiled plethora new products launched new Hopper H100 GPU 80B transistors. However, Vicors new facility expansion Q2 lead capacity Q3 leading removal capacity constraints making impacting potential Nvidia board revision. Analyst indicates estimates price target review stood 150 earlier. In past 1month, stock lost 33.5 currently trading near 52week low levels. In early March, SA Contributor Monplanet Capital Management said Vicors advanced products new markets likely push stock again. To ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. Please disable adblocker refresh. | 2,022 | [
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OpenAI’s ChatGPT Web Crawler is Here — How to Stop It from Scraping Your Data?
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Home » OpenAI’s ChatGPT Web Crawler is Here — How to Stop It from Scraping Your Data?
OpenAI’s ChatGPT Web Crawler is Here — How to Stop It from Scraping Your Data?
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ChatGPT » OpenAI’s ChatGPT Web Crawler is Here — How to Stop It from Scraping Your Data?
Posted By Jane Danes on Aug 13, 2023 | 0 comments
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OpenAI’s ChatGPT Web Crawler — GPTBot
OpenAI introduced its web crawler GPTBot. It is its online documentation site. This chatbot will retrieve web pages to train the AI models like GPT-4.
Some sites have already announced their intention to stop the bot’s access to their content. They traded tips on the best ways to block the bot from scraping their data.
The support page of the said bot provides a way to block its server from scraping a website. All you need to do is modify your site’s robots.txt file. Simply add the following lines:
User-agent: GPTBot
Disallow: /
OpenAI also states that admins can stop GPTBot from some areas of the site in robots.txt using these tokens:
User-agent: GPTBot
Allow: /directory-1/
Disallow: /directory-2/
Although you can modify the said text file on your site, it is not clear if doing so will completely prevent or stop the bot from being included in the training data.
What are the Pros and Cons of Allowing the Chatbot for Scraping Your Site’s Data?
Allowing OpenAI’s web scraper to scrape your site has both pros and cons. One of the pros is that your site’s content will have better visibility. ChatGPT may use the scraped data to provide accurate and relevant answers to user queries. It could result in more people discovering your site.
Traffic boost is another advantage. If users find valuable information from your site through ChatGPT’s responses, they might visit your site directly. It results in increased traffic.
It may also improve user engagement. If ChatGPT uses your content to answer user queries effectively, it might improve user engagement as people find your site more useful and relevant.
However, we all know that web scraping means exposing your site’s data, which includes sensitive information. The exposed data may be shared with third parties. You should carefully consider what information you are comfortable making accessible.
Content misuse is another disadvantage. There is a potential risk that scraped content might be used in ways that you did not intend or approve of. This could include repurposing your content without proper attribution or context.
Frequency scraping could increase server load and impact your site’s performance and response times. If the scraped content is presented elsewhere, it might be considered duplicate content by search engines. Thus, it affects your site’s SEO ranking.
When you allow scraping, you might lose control over how your content is used, displayed, or interpreted by third-party services.
Scraping sites without proper authorization could lead to legal issues if it violates your site’s terms of use or copyright policies.
Should you decide to allow scraping, you may consider implementing monitoring and rate limiting to ensure that the scraping activity does not negatively impact your site’s performance.
The decisions to allow web scraping should be based on your specific goals, priorities, and the nature of your site’s content. If you are concerned about the potential risks and benefits, you might want to consult with your IT or legal experts.
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Author: Jane Danes
Jane has a lifelong passion for writing. As a blogger, she loves writing breaking technology news and top headlines about gadgets, content marketing and online entrepreneurship and all things about social media. She also has a slight addiction to pizza and coffee.
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| OpenAI’s ChatGPT Web Crawler is Here — How to Stop It from Scraping Your Data? | OpenAIs ChatGPT Web Crawler Here How Stop It Scraping Your Data? Navigation Menu Social Media News Social Media News Social Media Help Facebook Help Twitter Help Google Help LinkedIn Help Instagram Help Pinterest Help Youtube Help Technology Technology News Tech Tips Apps Software Gadgets Tablets Apple Kindle Samsung Internet Engine News Web Bing Google Yahoo Business Advertising Blogging Development Start Ups Mobile Android Blackberry iPhone Reviews Windows Phone Infographics Follow Twitter Follow Facebook To Rss Feed On Google Home OpenAIs ChatGPT Web Crawler Here How Stop It Scraping Your Data? OpenAIs ChatGPT Web Crawler Here How Stop It Scraping Your Data? Home ChatGPT OpenAIs ChatGPT Web Crawler Here How Stop It Scraping Your Data? Posted By Jane Danes Aug 13, 2023 0 comments Share joy OpenAIs ChatGPT Web Crawler GPTBot OpenAI introduced web crawler GPTBot. It online documentation site. This chatbot retrieve web train AI models like GPT4. Some sites announced intention stop bots access content. They traded tips best ways block bot scraping data. Thesupport said bot provides way block server scraping website. All need modify sites robots.txt file. Simply add following lines: Useragent: GPTBot Disallow: OpenAI states admins stop GPTBot areas site robots.txt tokens: Useragent: GPTBot Allow: directory1 Disallow: directory2 Although modify said text file site, clear completely prevent stop bot included training data. What Pros Cons Allowing Chatbot Scraping Your Sites Data? Allowing OpenAIs web scraper scrape site pros cons. One pros sites content better visibility. ChatGPT use scraped data provide accurate relevant answers user queries. It result people discovering site. Traffic boost advantage. If users valuable information site ChatGPTs responses, visit site directly. It results increased traffic. It improve user engagement. If ChatGPT uses content answer user queries effectively, improve user engagement people site useful relevant. However, know web scraping means exposing sites data, includes sensitive information. The exposed data shared parties. You carefully consider information comfortable making accessible. Content misuse disadvantage. There potential risk scraped content ways intend approve of. This include repurposing content proper attribution context. Frequency scraping increase server load impact sites performance response times. If scraped content presented elsewhere, considered duplicate content search engines. Thus, affects sites SEO ranking. When allow scraping, lose control content used, displayed, interpreted thirdparty services. Scraping sites proper authorization lead legal issues violates sites terms use copyright policies. Should decide allow scraping, consider implementing monitoring rate limiting ensure scraping activity negatively impact sites performance. The decisions allow web scraping based specific goals, priorities, nature sites content. If concerned potential risks benefits, want consult IT legal experts. Share this:RedditEmailFacebookTumblrPinterestTwitterLinkedIn Share joy Author: Jane Danes Jane lifelong passion writing. As blogger, loves writing breaking technology news headlines gadgets, content marketing online entrepreneurship things social media. She slight addiction pizza coffee. Share This Post On GoogleFacebookTwitter for: Our Sponsor Recent From Social Media News Some Pokemon Content Creators Mysteriously Banned Instagram Aug 2, 2023 Instagram reportedly working generative AI features Aug 1, 2023 Important Social Media Integration Strategies Implement In Your Website Jul 28, 2023 Meta Threads Engagement: Users Spending Less Time App Jul 18, 2023 Twitter Ad Sharing Has Started Only Verified Creators Jul 14, 2023 Home About Our Team Privacy Write Advertise With Us A Venture Geeks project Loading Comments... Write Comment... Email Name Website | 2,023 | [
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https://source.wustl.edu/2020/10/mckelvey-school-of-engineering-seeks-to-land-artificial-intelligence-center/ | 2020-10-02T00:00:00 | en | McKelvey School of Engineering seeks to land artificial intelligence center | The Source | Washington University in St. Louis |
McKelvey School of Engineering seeks to land artificial intelligence center | The Source | Washington University in St. Louis
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Sinopoli
Bruno Sinopoli is leading a two-year $500,000 planning grant, along with colleagues at Washington University in St. Louis and elsewhere, to prepare a proposal for one of the National Science Foundation’s National Artificial Intelligence (AI) Research Institutes.
Sinopoli is the Das Family Distinguished Professor and chair of the Preston M. Green Department of Electrical & Systems Engineering at the McKelvey School of Engineering at Washington University. He will work with co-investigators Yevgeniy Vorobeychik, associate professor of computer science and engineering at Washington University, and colleagues from several universities.
Vorobeychik
The program, slated to award $200 million over six years, is designed to advance research in AI and develop transformational, AI-powered innovation by allowing researchers to focus on larger-scale, longer-term research in a variety of areas.
Read more on the engineering website.
McKelvey School of Engineering
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| McKelvey School of Engineering seeks to land artificial intelligence center | McKelvey School Engineering seeks land artificial intelligence center The Source Washington University St. Louis Skip content The Source Menu for: Topics Arts Culture Business Entrepreneurship Campus Community Humanities Society Medicine Health Science Technology Schools Arts Sciences Brown School McKelvey School Engineering Olin Business School Sam Fox School Design VisualArts School ofLaw School Medicine For Media McKelvey School Engineering seeks land artificial intelligence center October 1, 2020September 30, 2020 Click share Facebook Opens new windowClick share Twitter Opens new windowClick share Tumblr Opens new windowClick share LinkedIn Opens new windowClick share Pinterest Opens new window Sinopoli Bruno Sinopoli leading twoyear 500,000 planning grant, colleagues Washington University St. Louis elsewhere, prepare proposal National Science Foundations National Artificial Intelligence AI Research Institutes. Sinopoli Das Family Distinguished Professor chair Preston M. Green Department Electrical Systems Engineering McKelvey School Engineering Washington University. He work coinvestigators Yevgeniy Vorobeychik, associate professor science engineering Washington University, colleagues universities. Vorobeychik The program, slated award 200 million years, designed advance research AI develop transformational, AIpowered innovation allowing researchers focus largerscale, longerterm research variety areas. Read engineering website. McKelvey School Engineering Popular Stories Itching reason? Immune fault 2.3k views Prenatal cannabis exposure associated adverse outcomes middle childhood 1.4k views Replacing Justice Ginsburg 1k views Study reveals new, potent way boost immunity fight viruses 0.9k views Comments respectful dialogue encouraged, content moderated. Please, personal attacks, obscenity profanity, selling commercial products, endorsements political candidates positions. We reserve right remove inappropriate comments. We address individual medical concerns provide medical advice forum. TopicsArts Humanities Business Technology Campus Community Medicine Health Science Technology Social Issues Public Policy Sports SchoolsArts Sciences Brown School McKelvey School Engineering Olin Business School Sam Fox School Design VisualArts School ofLaw School Medicine SectionsHome The Record Newsroom Washington Magazine Policies WashU Perspectives Bookshelf ConnectFacebook Twitter YouTube Instagram Flickr 2020 Washington University St. Louis | 2,020 | [
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https://spectator.sme.sk/c/22404205/the-arrival-of-artificial-intelligence.html | 2020-07-13T00:00:00 | en | The arrival of artificial intelligence - spectator.sme.sk |
The arrival of artificial intelligence - spectator.sme.sk
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AMCHAM BLOGHow artificial intelligence arrives to health careJán Dudek from the Instiute of Health Policy offers an analysis of AI in health care and how Slovakia could benefit from this trend.Watson Assistant for Citizens automates responses to frequently asked questions about COVID-19 on topics such as symptoms, testing and protective measures. (Source: IBM)Font size:A-|A+2
Big data analytics and artificial intelligence are poised to revolutionize the field of healthcare in the coming years given the abundance of data and powerful algorithms.Currently, the U.S., China and the EU are all competing for dominance in the field, investing significant resources into human capital, infrastructure as well as into laws balancing the usability and protection of data. In the current decade, the European Commission seeks to attract €20 billion of investment per year in order to remain competitive in the global market.What is AI?Artificial intelligence might evoke ideas of self-driving cars, algorithms beating the best players in chess, or a dystopic future of autonomous robots making us obsolete. Only recently, Google’s AlphaGo beat the best player in the game of Go, where the possible number of moves is greater than the number of atoms in the universe. In reality, Artificial intelligence is what “appears” as intelligent behavior, but may be far from it. AI includes algorithms known for decades, such as the logistic regression, as well as new methods including neural networks – a hot topic in today’s academic research. What these algorithms have in common is that they get better with more data (they can “learn”), and they are able to perform a single task with an immense precision – given enough data and the right algorithm.AI in Health CareGiven increasing demand for healthcare around the world, medical staff shortages and the wealth of data collected, the healthcare sector is well-placed to harness the benefits of AI technology. Doctors and nurses are frequently overworked and overwhelmed with information ranging from electronic health records and medical history to patients’ genomic data. While algorithms are far from replacing doctors altogether, they can already perform very specific tasks at par – or even better – than the average doctor.In 2017, Stanford researchers created an algorithm which could detect pneumonia from chest X-rays with a higher precision than the radiologists competing with it. A clever use of such an algorithm to guide doctors or double-check their results could save doctors’ time, reduce costs and most importantly, improve diagnostics and treatment for patients. More algorithms will follow to revolutionize the field of radiology and imaging (e.g. detecting skin cancer from a photograph), but it is important to remember that it is always the medical expert with the final say and responsibility for the patient’s diagnosis.AI algorithms are already having an impact in patient treatment in addition to diagnostics. IBM Watson is a software which recommends oncology treatment based on patient data, recommendations by expert oncologists, academic literature, and even patient genomic data. The system was deployed in Slovakia by hospitals in the “Svet zdravia” network for several years. Since IBM Watson was trained with U.S. data and guidelines, local data about drug availability and dosages or country-specific guidelines need to be implemented in the algorithm in order for it to give locally relevant recommendations. This is a principle applicable to all AI – while the algorithms can “learn,” they can only do so within the scope of the data provided to them.Finally, AI could bring large benefits in healthcare efficiency and process optimization. Artificial intelligence algorithms are already used today to plan patient screening, optimize staffing at urgent care or to detect fraud and errors in medicine prescription. The advantage of using AI in healthcare outside of the scope of direct treatment and diagnosis is a significantly smaller risk for the patient and less legal liability for the healthcare provider. Since technological progress is often quicker than structural legal and societal changes, we might expect AI algorithms to be fully deployed in these areas quicker than in areas of direct contact with patients.AI in SlovakiaThe Institute for Health Policies (IZP) at the Ministry of Health of Slovakia is currently working on a Roadmap for utilizing AI in healthcare, so that Slovakia has the human capital, infrastructure, and legal framework in place for harnessing the AI revolution in healthcare. Like many other countries, Slovakia is experiencing a shortage of staff and the outlooks remain negative; that is why using advanced technology such as AI may be necessary in order to provide high quality healthcare for all Slovak citizens now and in the future. On this path, cooperation with organizations encompassing academic, business and government institutions, such as SlovakAI, will be crucial.The Institute for Health Policies has also created a fraud detection algorithm based on artificial intelligence, which has already been used by health insurance funds to analyze atypical prescription behavior and to significantly limit the amount of atypical behavior associated with the drug. The algorithm is based on unsupervised machine learning, which means it finds patterns in data with no or very little direct input. It takes into account hundreds of millions data points which include information on treatment choice, treatment intensity, diagnosis or affiliation with a medical provider. The algorithm is able to discern standard treatment for a given drug and diagnosis, while uncovering atypical patterns of prescription – such as those with extremely high dosage or incoherent diagnosis – and provide this information to the medical auditor. The Institute is working on improving the algorithm with cooperation from medical auditors at health insurance funds and with help of the European Commission.AI is hereAbundance of data, cheap computational capacity and powerful algorithms mean that artificial intelligence will transform the way patients are diagnosed, treated and hospitals are run. As with most major technological transformations, the question is not whether the change will come, but whether we will be prepared to use it to our benefit when it does. In order to do so, the healthcare sector will need to invest in educating medical staff in utilizing AI technology, in building data analysis and bioinformatics teams, and in developing an AI ecosystem by providing a clear regulatory framework.Ján Dudek is analyst of the Institute for Health Policies, Ministry of Health of the Slovak RepublicOriginally published in Connection, the magazine published by AmCham Slovakia
(Source: AmCham)
13. Jul 2020 at 11:35
| Ján Dudek
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| The arrival of artificial intelligence | The arrival artificial intelligence spectator.sme.sk Please use Javascript proper functioning web. This website uses cookies improve user experience. More information cookies policy settings foundhere. OK smelogo smelogo More BUYSUBSCRIPTION PROLONGSUBSCRIPTION PROLONGSUBSCRIPTION USERNAME My profile Online subscription Hide adverts App smartphones SK Sign BUYSUBSCRIPTION Log Sign Google Sign Facebook Sign Apple Or Forgot password? Log password I dont accountCreate account Items shopping cart: View Spectacular Slovakia travel guide: Live story Slovakia. HOME News Opinion Travel Business Culture lifestyle Sport BRATISLAVA DIRECTORY FAQ: LIFE IN SK SHOP TRAVEL GUIDES Menu Show sections AMCHAM BLOGHow artificial intelligence arrives health careJn Dudek Instiute Health Policy offers analysis AI health care Slovakia benefit trend.Watson Assistant Citizens automates responses frequently asked questions COVID19 topics symptoms, testing protective measures. Source: IBMFont size:AA2 Big data analytics artificial intelligence poised revolutionize field healthcare coming years given abundance data powerful algorithms.Currently, U.S., China EU competing dominance field, investing significant resources human capital, infrastructure laws balancing usability protection data. In current decade, European Commission seeks attract 20 billion investment year order remain competitive global market.What AI?Artificial intelligence evoke ideas selfdriving cars, algorithms beating best players chess, dystopic future autonomous robots making obsolete. Only recently, Googles AlphaGo beat best player game Go, possible number moves greater number atoms universe. In reality, Artificial intelligence appears intelligent behavior, far it. AI includes algorithms known decades, logistic regression, new methods including neural networks hot topic todays academic research. What algorithms common better data learn, able perform single task immense precision given data right algorithm.AI Health CareGiven increasing demand healthcare world, medical staff shortages wealth data collected, healthcare sector wellplaced harness benefits AI technology. Doctors nurses frequently overworked overwhelmed information ranging electronic health records medical history patients genomic data. While algorithms far replacing doctors altogether, perform specific tasks par better average doctor.In 2017, Stanford researchers created algorithm detect pneumonia chest Xrays higher precision radiologists competing it. A clever use algorithm guide doctors doublecheck results save doctors time, reduce costs importantly, improve diagnostics treatment patients. More algorithms follow revolutionize field radiology imaging e.g. detecting skin cancer photograph, important remember medical expert final responsibility patients diagnosis.AI algorithms impact patient treatment addition diagnostics. IBM Watson software recommends oncology treatment based patient data, recommendations expert oncologists, academic literature, patient genomic data. The deployed Slovakia hospitals Svet zdravia network years. Since IBM Watson trained U.S. data guidelines, local data drug availability dosages countryspecific guidelines need implemented algorithm order locally relevant recommendations. This principle applicable AI algorithms learn, scope data provided them.Finally, AI bring large benefits healthcare efficiency process optimization. Artificial intelligence algorithms today plan patient screening, optimize staffing urgent care detect fraud errors medicine prescription. The advantage AI healthcare outside scope direct treatment diagnosis significantly smaller risk patient legal liability healthcare provider. Since technological progress quicker structural legal societal changes, expect AI algorithms fully deployed areas quicker areas direct contact patients.AI SlovakiaThe Institute Health Policies IZP Ministry Health Slovakia currently working Roadmap utilizing AI healthcare, Slovakia human capital, infrastructure, legal framework place harnessing AI revolution healthcare. Like countries, Slovakia experiencing shortage staff outlooks remain negative; advanced technology AI necessary order provide high quality healthcare Slovak citizens future. On path, cooperation organizations encompassing academic, business government institutions, SlovakAI, crucial.The Institute Health Policies created fraud detection algorithm based artificial intelligence, health insurance funds analyze atypical prescription behavior significantly limit atypical behavior associated drug. The algorithm based unsupervised machine learning, means finds patterns data little direct input. It takes account hundreds millions data points include information treatment choice, treatment intensity, diagnosis affiliation medical provider. The algorithm able discern standard treatment given drug diagnosis, uncovering atypical patterns prescription extremely high dosage incoherent diagnosis provide information medical auditor. The Institute working improving algorithm cooperation medical auditors health insurance funds help European Commission.AI hereAbundance data, cheap computational capacity powerful algorithms mean artificial intelligence transform way patients diagnosed, treated hospitals run. As major technological transformations, question change come, prepared use benefit does. In order so, healthcare sector need invest educating medical staff utilizing AI technology, building data analysis bioinformatics teams, developing AI ecosystem providing clear regulatory framework.Jn Dudek analyst Institute Health Policies, Ministry Health Slovak RepublicOriginally published Connection, magazine published AmCham Slovakia Source: AmCham 13. Jul 2020 11:35 Jn Dudek Get daily Slovak news directly inbox The processing personal data subject Policy. Before submitting email address, sure acquaint documents. Thank singing up. Shortly email sent address provided verify email. 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The prettiest castle Slovakia archive 7. New government set end steps EuroAtlantic road 8. How travel Slovakia postcoronavirus 9. Coronavirus number higest April, epidemiologists convene Monday news digest 10. Nice aggressive. Immigration experience Slovakia depends officers handling Photo Services publications Bratislava Travel guides College Online directory Investment guide eSpectator Book Lists Career guide Newspaper Monitoring Spectacular Slovakia travel podcast Advertisement PROFESSIONALS SlovakiaLAW FIRMS IN SLOVAKIAWhos who: Law firmsWhos who: HR companiesDHgate marketplace China About usAd ratesFor schoolsLinksRegional newspaperNewsfeedRSSNewsletter Other webs: Post.skj SzSme.skPetit AcademySME v kole 2015 The Rock, s.r.o. Skry Close ad | 2,020 | [
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https://steamdb.info/patchnotes/10213350/ | 2022-12-25T00:00:00 | en | Version 2.5.4: More Enemy AI Tweaks and Enemy Limits · Keyboard Warrior: Dreamstate update for 25 December 2022 · SteamDB |
Version 2.5.4: More Enemy AI Tweaks and Enemy Limits · Keyboard Warrior: Dreamstate update for 25 December 2022 · SteamDB
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Keyboard Warrior: Dreamstate update for 25 December 2022
Version 2.5.4: More Enemy AI Tweaks and Enemy Limits
Share ·
View all patches · Build 10213350 · Last edited 25 December 2022 – 08:32:04 UTC
by Wendy
Patchnotes via Steam Community
Enemy AI will now randomly predict your movement based on your current trajectory up to your dash amount. This makes enemies more engaging as it's harder to simply outrun them. You now have to try and weave between them.
Additionally, standard, upgraded, and red cubes now accelerate faster. This allows them to adapt to changes that you make faster, but their max speed is unchanged.
The max amount of enemies allowed in the game is now limited to 50 or so. This number limit allows swarms to build without too many enemies (which hurt gameplay and performance). Rebalancing has (and will continue to) take place to make sure difficulty scales properly with this new change.
Buffed upgraded cube health to 15
Buffed Scientist speed from 0.65 to 0.75
Buffed Tank speed from 0.55 to 0.65 and tank dash from 1.925 to 2.6
Bugfixes
Fixed the default controls when first starting up the game with a new save file.
Fixed a crash that could occur with the upgraded cube
Fixed a bug where it was possible to discard an amulet when you didn't have one of that type already.
Changed files in this update
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| Version 2.5.4: More Enemy AI Tweaks and Enemy Limits · Keyboard Warrior: Dreamstate update for 25 December 2022 · SteamDB | Version 2.5.4: More Enemy AI Tweaks Enemy Limits Keyboard Warrior: Dreamstate update 25 December 2022 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Close Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Use escape Esc close search. 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 . Only apps store suggested. Enter Submit view results. CtrlEnter View filter instant search. Close About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Technologies built Database User tags Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Developers Publishers Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games 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 Birthday week: SteamDB launched 10 years ago Keyboard Warrior: Dreamstate update 25 December 2022 Version 2.5.4: More Enemy AI Tweaks Enemy Limits Share View patches Build 10213350 Last edited 25 December 2022 08:32:04 UTC Wendy Patchnotes Steam Community Enemy AI randomly predict movement based current trajectory dash amount. This makes enemies engaging harder simply outrun them. You try weave them. Additionally, standard, upgraded, red cubes accelerate faster. This allows adapt changes faster, max speed unchanged. The max enemies allowed game limited 50 so. This number limit allows swarms build enemies hurt gameplay performance. Rebalancing continue place sure difficulty scales properly new change. Buffed upgraded cube health 15 Buffed Scientist speed 0.65 0.75 Buffed Tank speed 0.55 0.65 tank dash 1.925 2.6 Bugfixes Fixed default controls starting game new save file. Fixed crash occur upgraded cube Fixed bug possible discard amulet didnt type already. Changed files update Some depots display changed files bot specific depot game. Game donated key, sending gift, curator system. Depot 2076852 Loading history Depot 2076853 Loading history SteamDB running adfree 2012.Find contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Technologies built Database User tags Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Developers Publishers Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. Enable JavaScript For SteamDB function correctly, JavaScript enabled. Prev Next Open link Close Esc | 2,022 | [
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https://steamdb.info/patchnotes/10637128/ | 2023-02-25T00:00:00 | en | Weekly Update #11: Artificial Intelligence · Winter Falling update for 25 February 2023 · SteamDB |
Weekly Update #11: Artificial Intelligence · Winter Falling update for 25 February 2023 · SteamDB
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Winter Falling update for 25 February 2023
Weekly Update #11: Artificial Intelligence
Share ·
View all patches · Build 10637128 · Last edited 25 February 2023 – 15:52:04 UTC
by Wendy
Patchnotes via Steam Community
Afternoon everyone!
This week our artificial intelligence started thinking!
Hopefully it's not annoying. ːsteamhappyː
Progress:
AI uses formations
AI avoids fire
AI can flank you
AI more aggressive
Tutorial fixed
More bread
Short distance Advance orders are faster.
Thank you,
Arek
(Current version - 3.73)
Changed files in this update
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Depot 1285061
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Depot 1285062
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| Weekly Update #11: Artificial Intelligence · Winter Falling update for 25 February 2023 · SteamDB | Weekly Update 11: Artificial Intelligence Winter Falling update 25 February 2023 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Close Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Use escape Esc close search. 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 . powered Algolia. Only apps store suggested. Enter Submit view results. CtrlEnter View filter instant search. Close About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Technologies built Database User tags Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Developers Publishers Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games 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 Winter Falling update 25 February 2023 Weekly Update 11: Artificial Intelligence Share View patches Build 10637128 Last edited 25 February 2023 15:52:04 UTC Wendy Patchnotes Steam Community Afternoon This week artificial intelligence started thinking Hopefully annoying. steamhappy Progress: AI uses formations AI avoids AI flank AI aggressive Tutorial fixed More bread Short distance Advance orders faster. Thank you, Arek Current version 3.73 Changed files update Some depots display changed files bot specific depot game. Game donated key, sending gift, curator system. Depot 1285061 Loading history Depot 1285062 Loading history Depot 1285063 Loading history SteamDB running adfree 2012.Donate contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Technologies built Database User tags Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Developers Publishers Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. Enable JavaScript For SteamDB function correctly, JavaScript enabled. Prev Next Open link Close Esc | 2,023 | [
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https://steamdb.info/patchnotes/8129668/ | 2022-02-04T00:00:00 | en | Fog of War & AI · War on the Sea update for 4 February 2022 · SteamDB |
Fog of War & AI · War on the Sea update for 4 February 2022 · SteamDB
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War on the Sea update for 4 February 2022
Fog of War & AI
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View all patches · Build 8129668 · Last edited 4 February 2022 – 23:09:11 UTC
by Wendy
Patchnotes via Steam Community
This latest version (1.08g5h2) introduces fog of war to the campaign where enemy ship groups are no no longer fully identified on the campaign map. Incomplete and or incorrect data is supplied based on the visibility conditions under which an enemy task force is spotted.
Also improved tactical AI with enemy ships now correctly turning broadside as well as making submarine and anti-submarine warfare behaviour more compelling.
Finally support for additional nations as well as additional sea mission parameters has been added.
Change log below:
Version 1.08g5h2
5 Feb 2022
Corrected "rubberbanding" of aircraft escorting ship groups
Directors no longer point at undetected targets when prosecuting a region/area in search for that target
AI escorts search along incoming torpedo bearing with lateral spacing 1500 - 2500m
AI escorts slowed to 10-15 knots to improve sonar detection when prosecuting player submarines
Impoved AI retreat direction from undetected player submarines
Version 1.08g5h1
Beta 29 Jan 2022
Corrected damageAmount typo in torpedo_type91.txt
unit/sea/ise/ise.txt modified TDS value to 0.6
Aircraft with Escort/Patrol Above correctly land at dusk
AI strike aircraft will not return to base after an engagement unless they have dropped payloads
Version 1.08g5
Beta 27 Jan 2022
GENERAL
Incomplete intel on surface groups added:
config.txt added new variable "vagueCampaignIntel":true to provide inaccurate data on enemy Sea Groups
default/language/english/dictionary/general.txt added "IntelSea=ships|Heading:|Speed:|Maybe:|(Convoy)"
information on enemy Sea Groups can now be incorrect
number of ships estimated, if transports > 3, the group will be labelled as a Convoy
classes of ships estimated and highest priority/largest 2 are listed as "Maybe" present
speed estimated and displayed as standard Sea Group speed, e.g. Medium (12-16kn)
[course not displayed as direction can be assessed by observing contact movement]
accuracy (number, speed and classification) based on visibility at the time spotted
submarines cannot be mis-classified
icon of Sea Group shown on map based on intel data rather than actual group composition
existing save games have intel data created for them if saved without using "vagueCampaignIntel"
once no longer spotted, intel data is cleared, if observed again intel data may be different based on observing conditions
contact icon for Sea vs Sea engagements is no longer displayed prior to entering combat (unless player is able to ignore the engagement, such as for a player submarine attack)
EXAMPLE:
Convoy (2CA, 2DD, 6MS) Sea State 6, Scattered at 15:00 reported as (4 tries):
10 ships (Convoy)
Medium (12-16kn)
Maybe: 1 CA, 1 CL
9 ships (Convoy)
Slow (8-12kn)
Maybe: 2 CA, 1 CL
10 ships (Convoy)
Medium (12-16kn)
Maybe: 2 CA, 5 MS
9 ships (Convoy)
Medium (12-16kn)
Maybe: 1 BC, 1 CA
Support for additional nations added:
Nations currently supported are:
usa, britain, australia, japan, germany, italy, france, sovietUnion, netherlands, canada, poland, finland, thailand
config.txt modified variables to support additional nations (nation values in order as specified above):
"dudRateBombByNation":[0.09,0.09,0.09,0.03,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09]
"nationNightFightBonus":[0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
default/flags added references to new country flags and added new flagTexture pngs
default/interface/images/toolbar added new flagX.png files
default/interface/images/flag added new pngs for new nation flags
default/language/english/dictionary/general.txt added references to new countries
default/ammunition adjusted speed/range and damage of torpedo_mark13 and torpedo_type91
Sinking ships no longer continue to track targets with directors
Various corrections to ships:
unit/sea/fuso/fuso.txt modified TDS and magazine armor values
unit/sea/fuso/fuso_data.txt corrected 5" secondary gun types
unit/sea/nagato/nagato.txt modified TDS and magazine armor values
unit/sea/nagato/nagato_model.txt corrected secondary gun type to 14cm503rdYearType
unit/sea/ise/ise.txt modified magazine armor values
unit/sea/ise/ise_model.txt corrected secondary gun type to 14cm503rdYearType
unit/sea/kongo/kongo.txt modified armor values
AI submarines dive deep and run silent after firing torpedoes to evade escorts
default/language/english/dictionary/campaign_message.txt modified SpottedAir and SpottedSea entries to be non-specific as to enemy type nearby
Fixed a bug where surface ship AI could fail to find a target to fire torpedoes at
Fixed a bug where ship AI would not correctly turn/maintain broadside upon reaching optimal firing distance
Fixed a bug where a heavily flooded ship could sink during the briefing, prior to combat starting
CAMPAIGN
Campaign "sea_missions.txt" now support the following variables;
"requiresHostileLocations":["guadalcanal","florida"], a list of locations that must be occupied by the player for the mission to be generated
"requiresHostileAirfieldRank":2 All locations specified in "requiresHostileLocations" must also have an airfield at or above the rank specified
"patrolForHours":120 A "Patrol" mission type will stay in its patrol zone/s for this many hours, then automatically return to base
Note that timer begins at start of beginning of last leg to valid patrol zone
Upon reaching 0 hours, patrol immediately returns home and a new patrol is re-created at "spawnLocation" if "autoRenew":true
Existing save games have "patrolForHours" data applied to existing patrol missions if saved with previous game version
"airCoverPriority":1 Any value above 0 will launch fighter air cover from an airfield within 250 km during Air Op hours (checked every hour)
campaign/setup.txt files added new variable "repairHourPerIntegrity":[0.05,0.05]
damaged compartments now separated into those destroyed and those with lost integrity
destroyed compartments get days repair as per campaign setup.txt "repairPerComp":[1,1]
total lost integrity is summed, multiplied by "repairHourPerIntegrity":[0.05,0.05], then # additional days required calculated (rounding up)
default value 0.05 = 4.95 hr to repair a nearly destroyed compartment (at 1 integrity)
Aircraft with "Escort/Patrol Above" set now return to refuel then repeat the patrol route until cancelled or aircraft land at dusk
config.txt "alwaysIgnoreScouts":true now applied to locations spotting single aircraft
Auto Resolve for campaign encounters with Scouts vs Fighters
AUTO button now available if encounter is Scouts vs Fighters
if (fighters - scouts > 3), all scouts are shot down;
post engage cooldown applied to combatants
default/language/english/dictionary/general added value "CAutoResolve=AUTO"
Changed files in this update
War on the Sea Content
Depot 1280781
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| Fog of War & AI · War on the Sea update for 4 February 2022 · SteamDB | Fog War AI War Sea update 4 February 2022 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. Only apps store suggested. Enter Submit view results. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year 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 War Sea update 4 February 2022 Fog War AI Share View patches Build 8129668 Last edited 4 February 2022 23:09:11 UTC Wendy Patchnotes Steam Community This latest version 1.08g5h2 introduces fog war campaign enemy ship groups longer fully identified campaign map. omplete incorrect data supplied based visibility conditions enemy task force spotted. Also improved tactical AI enemy ships correctly turning broadside making submarine antisubmarine warfare behaviour compelling. Finally support additional nations additional sea mission parameters added. Change log below: Version 1.08g5h2 5 Feb 2022 Corrected rubberbanding aircraft escorting ship groups Directors longer point undetected targets prosecuting regionarea search target AI escorts search incoming torpedo bearing lateral spacing 1500 2500m AI escorts slowed 1015 knots improve sonar detection prosecuting player submarines Impoved AI retreat direction undetected player submarines Version 1.08g5h1 Beta 29 Jan 2022 Corrected damageAmount typo torpedo_type91.txt unitseaiseise.txt modified TDS value 0.6 Aircraft EscortPatrol Above correctly land dusk AI strike aircraft return base engagement dropped payloads Version 1.08g5 Beta 27 Jan 2022 GENERAL omplete intel surface groups added: config.txt added new variable vagueCampaignIntel:true provide inaccurate data enemy Sea Groups defaultlanguageenglishdictionarygeneral.txt added IntelSea=shipsHeading:Speed:Maybe:Convoy information enemy Sea Groups incorrect number ships estimated, transports > 3, group labelled Convoy classes ships estimated highest prioritylargest 2 listed Maybe present speed estimated displayed standard Sea Group speed, e.g. Medium 1216kn [course displayed direction assessed observing contact movement] accuracy number, speed classification based visibility time spotted submarines misclassified icon Sea Group shown map based intel data actual group composition existing save games intel data created saved vagueCampaignIntel longer spotted, intel data cleared, observed intel data different based observing conditions contact icon Sea vs Sea engagements longer displayed prior entering combat player able ignore engagement, player submarine attack EXAMPLE: Convoy 2CA, 2DD, 6MS Sea State 6, Scattered 15:00 reported 4 tries: 10 ships Convoy Medium 1216kn Maybe: 1 CA, 1 CL 9 ships Convoy Slow 812kn Maybe: 2 CA, 1 CL 10 ships Convoy Medium 1216kn Maybe: 2 CA, 5 MS 9 ships Convoy Medium 1216kn Maybe: 1 BC, 1 CA Support additional nations added: Nations currently supported are: usa, britain, australia, japan, germany, italy, france, sovietUnion, netherlands, canada, poland, finland, thailand config.txt modified variables support additional nations nation values order specified above: dudRateBombByNation:[0.09,0.09,0.09,0.03,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09,0.09] nationNightFightBonus:[0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0] defaultflags added references new country flags added new flagTexture pngs defaultinterfaceimagestoolbar added new flagX.png files defaultinterfaceimagesflag added new pngs new nation flags defaultlanguageenglishdictionarygeneral.txt added references new countries defaultammunition adjusted speedrange damage torpedo_mark13 torpedo_type91 Sinking ships longer continue track targets directors Various corrections ships: unitseafusofuso.txt modified TDS magazine armor values unitseafusofuso_data.txt corrected 5 secondary gun types unitseanagatonagato.txt modified TDS magazine armor values unitseanagatonagato_model.txt corrected secondary gun type 14cm503rdYearType unitseaiseise.txt modified magazine armor values unitseaiseise_model.txt corrected secondary gun type 14cm503rdYearType unitseakongokongo.txt modified armor values AI submarines dive deep run silent firing torpedoes evade escorts defaultlanguageenglishdictionarycampaign_message.txt modified SpottedAir SpottedSea entries nonspecific enemy type nearby Fixed bug surface ship AI fail target torpedoes Fixed bug ship AI correctly turnmaintain broadside reaching optimal firing distance Fixed bug heavily flooded ship sink briefing, prior combat starting CAMPAIGN Campaign sea_missions.txt support following variables; requiresHostileLocations:[guadalcanal,florida], list locations occupied player mission generated requiresHostileAirfieldRank:2 All locations specified requiresHostileLocations airfield rank specified patrolForHours:120 A Patrol mission type stay patrol zones hours, automatically return base Note timer begins start beginning leg valid patrol zone Upon reaching 0 hours, patrol immediately returns home new patrol recreated spawnLocation autoRenew:true Existing save games patrolForHours data applied existing patrol missions saved previous game version airCoverPriority:1 Any value 0 launch fighter air cover airfield 250 Air Op hours checked hour campaignsetup.txt files added new variable repairHourPerIntegrity:[0.05,0.05] damaged compartments separated destroyed lost integrity destroyed compartments days repair campaign setup.txt repairPerComp:[1,1] total lost integrity summed, multiplied repairHourPerIntegrity:[0.05,0.05], additional days required calculated rounding default value 0.05 = 4.95 hr repair nearly destroyed compartment 1 integrity Aircraft EscortPatrol Above set return refuel repeat patrol route cancelled aircraft land dusk config.txt alwaysIgnoreScouts:true applied locations spotting single aircraft Auto Resolve campaign encounters Scouts vs Fighters AUTO button available encounter Scouts vs Fighters fighters scouts > 3, scouts shot down; post engage cooldown applied combatants defaultlanguageenglishdictionarygeneral added value CAutoResolve=AUTO Changed files update War Sea Content Depot 1280781 Loading history War Sea Depot Depot 1280782 Loading history SteamDB running adfree 2012.Find contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year 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 Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. For SteamDB function correctly, JavaScript enabled. | 2,022 | [
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] | 1 | 2,158 |
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