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https://mashable.com/deals/sept-9-air-neo-camera-drone
| 2023-09-09T00:00:00 |
en
|
Best AI camera drone deal: Only $149.99 | Mashable
|
Best AI camera drone deal: Only $149.99 | Mashable
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This AI drone knows when to snap a photo, and it's only $150
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Deal pricing and availability subject to change after time of publication.
TL;DR: As of September 9, get the AIR NEO AI-Powered Autofly™ Camera Drone for just $149.99 — a 6% discount.Drone photography is changing, and one exciting development is actually driven by AI, literally. The AIr NEO is an AI-powered drone that can automatically lock onto you while recording videos or shooting a few photos. Whether you’re creating content for social media or recording a married couple on their big day, this AI-powered drone could help you get a unique, dynamic shot. Give it a try and get the AIR NEO AI-Powered Autofly™ Camera Drone while it’s only $149.99. AI is flying this droneThe AIR NEO Camera Drone is a great gadget for hobbyist photographers and professionals alike. One of the standout features of this bite-sized drone is its AI-powered Autofly mode. That’s how the AIR NEO can zip around you snapping photos of you or your environment in a variety of custom configurations. You can even set the AIR NEO to lock onto you and start recording a short video before flying back to your hand. No more fussing with remote shutters or trying to maneuver your phone on a camera mount. Plus, the AirSelfie app instantly syncs with your drone for quick photo transfers. With the AIR NEO and the right app, AI could snap your photo, transfer it to your phone, and AI can even edit your pictures for you.
This pocket-sized drone packs a range of impressive specs into its tiny frame. The AIR NEO has a wireless range of up to 60 feet and may last up to six minutes in the air on a single charge. While it lacks integrated GPS, the app is user-friendly and gives you more control over your flights. The AIR NEO automatically lands on its own, but if you ever run into turbulence on your flight, extra props are included with your purchase. Let AI take your picture AI drawing pictures is neat, but now it can fly a drone and snap your photo for you. Event photographers can get dynamic tracking shots, or you can just record a video for social media.AIR NEO AI-Powered Autofly™ Camera Drone is on sale for $149.99 (reg. $159). Prices subject to change.
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Best AI camera drone deal: Only $149.99
|
Best AI camera drone deal: Only 149.99 Mashable refs.firstMenuItem.focus; class=flexshrink px2 arialabel=Menu> Tech Science Life Social Good Entertainment Deals Shopping Travel Cancel Tech Apps Software Artificial Intelligence Cybersecurity Cryptocurrency Mobile Smart Home Social Media Tech Industry Transportation All Tech Science Space Climate Change Environment Video All Science Life Digital Culture Family Parenting Health Wellness Sex, Dating Relationships Sleep Careers Mental Health All Life Social Good Activism Gender LGBTQ Racial Justice Sustainability Politics All Social Good Entertainment Games Movies Podcasts TV Shows Video Reviews Watch Guides All Entertainment SHOP THE BEST Home Tech Kitchen Fitness Sex Toys Apps Software Dating Gift Guides Mashable Choice Mashable Selects Gaming All Best Products Travel Deals Best All Travel Product Reviews Tech Life Beauty Tech Kitchen KidsToys Gaming Fitness Sex Toys Apps Software All Product Reviews DEALS Home Tech TV Laptop VPN Vacuum Gaming Streaming Apple Mashable Shop All Deals Newsletters VIDEOS Mashable Shows All Videos Home > Tech This AI drone knows snap photo, 150 Smile By StackCommerce onSeptember 9, 2023 Share Facebook Share Twitter Share Flipboard The following content brought Mashable partners. If buy product featured here, earn affiliate commission compensation. Take selfie sky ground below. Credit: AirSelfie Mashable Composite Deal pricing availability subject change time publication. TL;DR: As September 9, AIR NEO AIPowered Autofly Camera Drone 149.99 6 discount.Drone photography changing, exciting development actually driven AI, literally. The AIr NEO AIpowered drone automatically lock recording videos shooting photos.Whether youre creating content social media recording married couple big day, AIpowered drone help unique, dynamic shot. Give try AIR NEO AIPowered Autofly Camera Drone 149.99.AI flying droneThe AIR NEO Camera Drone great gadget hobbyist photographers professionals alike. One standout features bitesized drone AIpowered Autofly mode. Thats AIR NEO zip snapping photos environment variety custom configurations.You set AIR NEO lock start recording short video flying hand. No fussing remote shutters trying maneuver phone camera mount. Plus, AirSelfie app instantly syncs drone quick photo transfers. With AIR NEO right app, AI snap photo, transfer phone, AI edit pictures you. This pocketsized drone packs range impressive specs tiny frame. The AIR NEO wireless range 60 feet minutes air single charge. While lacks integrated GPS, app userfriendly gives control flights. The AIR NEO automatically lands own, run turbulence flight, extra props included purchase.Let AI pictureAI drawing pictures neat, fly drone snap photo you. Event photographers dynamic tracking shots, record video social media.AIR NEO AIPowered Autofly Camera Drone sale 149.99 reg. 159.Prices subject change. Opens new window Credit: AirSelfie AIR NEO AIPowered Autofly Camera Drone 149.99 Mashable Shop Get Deal Topics Cameras Drones Sign Mashable Deals Awesome products offers, sent inbox daily. Loading... By signing agree Terms Use . Thanks signing Recommended For You This clipon waist fan keeps cool 30 Keep sweat minimum. 08182023 By StackCommerce Snag best Prime Day deals outdoor gear, tents coolers Prep camping trip. 07122023 By Jae Thomas Stacia Datskovska Calling coffee lovers: Get Nespresso Vertuo Next espresso maker 30 Jumpstart morning custommade caffeine. 08082023 By Ingrid Cruz Brush smarter 28 sonic toothbrush Heres dental health 07192023 By StackCommerce Home chefs, grab 100 chef knife quality cut Chop chop 09032023 By StackCommerce Trending Mashable Wordle today: Heres answer hints September 9 Here tips tricks help answer Wordle 812. 8 hours ago By Mashable Team The best Starfield traits background pick new character Time background check. 09062023 By Alex Perry Why tutorial porn popular right now? I amazed masturbate learn sex time. 18 hours ago By Beth Ashley NASAs dropping space package 63,000 miles high Heres need know OSIRISRex mission. 33 minutes ago By Elisha Sauers Watch Indias moon lander actually hop lunar surface And stuck second landing. 09062023 By Elisha Sauers The biggest stories day delivered inbox. Loading... This newsletter contain advertising, deals, affiliate links. Subscribing newsletter indicates consent Terms Use . You unsubscribe newsletters time. Thanks signing up. See inbox TECH SCIENCE LIFE SOCIAL GOOD ENTERTAINMENT BEST PRODUCTS DEALS About Mashable Us Were Hiring Newsletters Sitemap Mashable supports Group Black mission increase greater diversity media voices media ownership. Group Blacks collective includes Essence, TheShadeRoom AfroPunk. 20052023 Mashable, ., Ziff Davis company. . Mashable registered trademark Ziff Davis parties express written permission. About Ziff Davis Terms Use Advertise Accessibility Do Not Sell My Personal Information AdChoices
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https://matt-rickard.com/the-contrarian-strategy-of-openai
| 2023-08-29T00:00:00 |
en
|
The Contrarian Strategy of OpenAI
|
The Contrarian Strategy of OpenAIMatt RickardAboutPostsSubscribeMatt RickardAboutPostsSubscribeThe Contrarian Strategy of OpenAIAug 29, 2023All unsuccessful startups are alike; each successful startup is successful in its own way.Sam Altman reflected a few months ago on the advice he’s given over the years and, ultimately, what has led him to (even more) success with OpenAI.I feel so bad about the advice that I gave while running YC that I’m thinking about deleting my entire blog. There were a lot of things that we really held dear — you have to launch right away, you’ve got to launch a first version you’re embarrassed about, raise very little capital upfront, don’t take big R&D risk, you’ve got to immediately find product-market fit. OpenAI raised a billion dollars of capital before any product at all. It took us 4.5 years after we started to release something, and when we released it, we didn’t talk to users for awhile. We didn’t do it the same way, and it still worked. — an interview with Sam AltmanSo, what exactly has OpenAI done differently? Expanding on Altman’s comments and adding a few others.Going to market with a consumer and an enterprise product. ChatGPT Enterprise just launched. There’s ChatGPT Plus for $20/month for consumers. Is ChatGPT just product-led growth for the enterprise product, or will OpenAI run two playbooks: one to become the next Google and the other to become the next Microsoft?Fundraising through complicated financial structures (in complex ways). OpenAI started as a nonprofit organization with over $1 billion in donation commitments (it received $130.5 million of those) before transitioning to a “capped profit” structure in 2019. Not to mention the 49% stake and profit-sharing agreement it made with Microsoft in January 2023.No commercial product for the first 4.5 years. OpenAI released its first product, an API, in June 2020.Product behind a login wall. You have to sign up before you use it. Today’s products have significant low-friction freemium motions. That might be open-source for developers or a page where people can spin the wheels on the product before committing further. The last company to have this sort of success behind a login wall was probably Facebook.No social, sharing, or other viral features (initially). No other product in the history of consumer products has grown so quickly without any social features. There’s no viral loop. No asking to access your contacts and crawl your existing social network. No notifying your coworkers, friends, or family that you’ve made a text completion. Capital-intensive business. The opposite of the 2010s-era Lean Startup advice.Solution in search of a problem. Developers, enterprises, and consumers are still figuring out exactly how to use these reasoning machines. Some early use cases have real traction (code completion), but others are still nascent.No proprietary data to train models on. The company was in a unique position because of the expertise and network of its key employees, so it’s possible they had access to privileged data sources (like Reddit, a longtime YC company and an early user of GPT-3). But for the most part, the company had no data of its own. Before OpenAI, the rule was that a unique and proprietary dataset was much more important than anything else in machine learning startups.Daily posts on startups, engineering, and AI
|
The Contrarian Strategy of OpenAI
|
The Contrarian Strategy OpenAIMatt RickardAboutPostsMatt RickardAboutPostsThe Contrarian Strategy OpenAIAug 29, 2023All unsuccessful startups alike; successful startup successful way.Sam Altman reflected months ago advice hes given years and, ultimately, led success OpenAI.I feel bad advice I gave running YC Im thinking deleting entire blog. There lot things held dear launch right away, youve got launch version youre embarrassed about, raise little capital upfront, dont big RD risk, youve got immediately productmarket fit. OpenAI raised billion dollars capital product all. It took 4.5 years started release something, released it, didnt talk users awhile. We didnt way, worked. interview Sam AltmanSo, exactly OpenAI differently? Expanding Altmans comments adding others.Going market consumer enterprise product. ChatGPT Enterprise launched. Theres ChatGPT Plus 20month consumers. Is ChatGPT productled growth enterprise product, OpenAI run playbooks: Google Microsoft?Fundraising complicated financial structures complex ways. OpenAI started nonprofit organization 1 billion donation commitments received 130.5 million transitioning capped profit structure 2019. Not mention 49 stake profitsharing agreement Microsoft January 2023.No commercial product 4.5 years. OpenAI released product, API, June 2020.Product login wall. You sign use it. Todays products significant lowfriction freemium motions. That opensource developers people spin wheels product committing further. The company sort success login wall probably Facebook.No social, sharing, viral features initially. No product history consumer products grown quickly social features. Theres viral loop. No asking access contacts crawl existing social network. No notifying coworkers, friends, family youve text completion. Capitalintensive business. The opposite 2010sera Lean Startup advice.Solution search problem. Developers, enterprises, consumers figuring exactly use reasoning machines. Some early use cases real traction code completion, nascent.No proprietary data train models on. The company unique position expertise network key employees, possible access privileged data sources like Reddit, longtime YC company early user GPT3. But part, company data own. Before OpenAI, rule unique proprietary dataset important machine learning startups.Daily posts startups, engineering, AI
| 2,023 |
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https://mcdowellnews.com/news/local/scott-hollifield-churning-out-a-chatgpt-composed-column/article_d730fe44-980f-11ed-89a3-d77d2a18259f.html
| 2023-01-20T00:00:00 |
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Scott Hollifield: Churning out a ChatGPT-composed column
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Scott Hollifield: Churning out a ChatGPT-composed column
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Scott Hollifield: Churning out a ChatGPT-composed column
BY SCOTT HOLLIFIELD
Jan 20, 2023
2 hrs ago
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BY SCOTT HOLLIFIELD
For decades, I’ve predicted a robot would eventually take my job.I have witnessed the evolution of robots and artificial intelligence (AI), two distinct but intertwined fields, from that terrifying day in a newspaper production plant where I saw machines doing what humans used to do, through a chess-playing robot crushing a child’s hand during a friendly human vs. AI match and finally to the introduction ChatGPT, the newest best or worst thing to happen to the human race depending on which article one reads.And that article may have been written by ChatGPT.So, just as Cousin Junior asked when he pulled a three-eyed lizard creature from the pond near the chemical plant, what the hell is this thing?
The website ZDNET says ChatGPT (and, yes, we are getting deep into the alphabet soup here) is “a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with a chatbot. The language model can answer questions, assist you with tasks such as composing emails, essays and code.”
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Of course there was swift backlash because that’s what we humans are good at.New York City public schools barred teachers and students from using the program, fearing widespread cheating on tests and essays. Australian rock legend Nick Cave said a song written in his style by ChatGPT “sucks.” Cousin Junior claimed his short story on a three-eyed lizard creature produced by ChatGPT only earned him a C+ in his creative writing class at the adult learning center.
Considering all the hubbub, I decided to give it a go. Because the servers were overwhelmed, it took a few tries to settle into OpenAI, which hosts the chatbot.
When I did, I instructed my new AI friend to “write a 600-word essay in the style of humor columnist Scott Hollifield.” There’s more than 20 years-worth of my material published online by various newspapers and websites floating in cyberspace, so there should be a lot of copy for a giant robot brain to work with.
The result in a few seconds was this:“Well folks, it’s that time of year again. The time when we all put on our stretchy pants and prepare to feast like there’s no tomorrow. That’s right, it’s Thanksgiving! And while we all have our own unique traditions, there’s one thing that we can all agree on: Thanksgiving is the ultimate test of willpower.
“Let’s be real, it’s hard to resist that succulent turkey, those buttery mashed potatoes, and that delicious pumpkin pie. But, let’s not forget about the real star of the show: the stuffing. I mean, who can resist a dish that’s basically just bread and butter? Not this guy, that’s for sure.”
I will not subject you, dear readers, to the rest of the atrocious, cliché-riddled piece of “writing” on a subject either months early or months late.I tried again. “Write a 600-word essay in the style of humor columnist Scott Hollifield not about Thanksgiving.”Here’s what I got:
“Ladies and gentlemen, it’s time to put on your thinking caps and get ready for a wild ride through the mind of your favorite humor columnist, Scott Hollifield! Today’s topic, you ask? Well, I’m glad you asked, because I’ve been dying to talk about something that’s been on my mind for a while now. And that, my friends, is the great debate of the century: paper or plastic?”
It went on like that, a torture to read.Combined, there were 1,200 words in two pieces, neither mentioning monkeys, beer, dogs, groundhogs, Bigfoot, George Jones, goats, Cousin Junior, Burt Reynolds movies, street cats, irresponsible parenting, beating someone with a tire tool, semi-trucks, bluegrass music, robots, UFOs or government conspiracies.
Yes, a robot (equipped with AI and dressed in stretchy pants and a thinking cap,) may someday take my place, but it won’t be today.
Scott Hollifield is editor of The McDowell News in Marion and a humor columnist. Contact him at [email protected].
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Scott Hollifield: Churning ChatGPTcomposed column Skip main contentSkip main content free articles. Sign newsletter reading. Get local news delivered inbox Daily Headlines newsletter. Sign Already r? Sign Back homer Please subscribe reading. You cancel time. Loadinghellp; You permission edit article. Edit Close 44 Log In Guest Logout Read Todays Eedition News Local COVID19 Crime State Regional Education Politics Business National World Multimedia News Tip Obituaries Share story Recent Obituaries Find Obituary Opinion Submit letter Letters Editorial Columnists Sports High School College Professional Entertainment Event Calendar Arts Theatre Movies Music Television Contests Games Puzzles Comics Columns Sponsored Content Lifestyles Food Cooking Home Garden Health Parenting Fashion People Pets Travel Faith Feast Field Partners Brand Ave. Studios Print Edition Eedition Todays Ads Special Sections Buy Sell Place Ad Jobs Homes Cars Marketplace Public Notices Shop Local Todays Deal Customer Service Manage Subscription Activate Digital Subscription Newsletter signup Help Center Weather: Live rader Facebook Twitter 2023 Lee Enterprises Read Todays EEdition Join Log In Welcome, Guest Member My Subscription Help Center My Account Dashboard Profile Saved items Logout EEdition News Obituaries Opinion Sports Entertainment Lifestyles Jobs 44 Sunny Share This Facebook Twitter WhatsApp SMS Email Scott Hollifield: Churning ChatGPTcomposed column 0 Comments Share Facebook Twitter WhatsApp SMS Email Print Copy article link Save alert featured editors pick Scott Hollifield: Churning ChatGPTcomposed column BY SCOTT HOLLIFIELD Jan 20, 2023 2 hrs ago 0 PIXABAY Facebook Twitter WhatsApp SMS Email Print Copy article link Save BY SCOTT HOLLIFIELD For decades, Ive predicted robot eventually job.I witnessed evolution robots artificial intelligence AI, distinct intertwined fields, terrifying day newspaper production plant I saw machines humans do, chessplaying robot crushing childs hand friendly human vs. AI match finally introduction ChatGPT, newest best worst thing happen human race depending article reads.And article written ChatGPT.So, Cousin Junior asked pulled threeeyed lizard creature pond near chemical plant, hell thing? The website ZDNET says ChatGPT and, yes, getting deep alphabet soup natural language processing tool driven AI technology allows humanlike conversations chatbot. The language model answer questions, assist tasks composing emails, essays code. People reading New business Marion: Roaming Buffalo Outpost Western wear, farmtotable meats McDowell man wins 100,000 scratchoff ticket Know them? McDowell deputies like chat missing catalytic converter. HISTORY Channel featuring Morganton vehicle detailer premiere Wednesday Mobile home, RV burn separate Marion fires. Marion physician joins new teambased clinic, bringing patients care thats simply unmatched Winds bring trees, powerlines McDowell Saturday McDowell County Superior court cases. Here results. Construction begins miles new trails Old Fort Caldwell deputies chase car running rims downtown Morganton 10 players scoring column Lady Titans defeat Lady Warriors McDowell authorities arrest fugitive wanted Ohio Column: Campuses try discriminating Middle school basketball: West McDowell girls win. East McDowell boys remain undefeated New WNC congressman hits ground running D.C. Of course swift backlash thats humans good at.New York City public schools barred teachers students program, fearing widespread cheating tests essays. Australian rock legend Nick Cave said song written style ChatGPT sucks. Cousin Junior claimed short story threeeyed lizard creature produced ChatGPT earned C creative writing class adult learning center. Considering hubbub, I decided go. Because servers overwhelmed, took tries settle OpenAI, hosts chatbot. When I did, I instructed new AI friend write 600word essay style humor columnist Scott Hollifield. Theres 20 yearsworth material published online newspapers websites floating cyberspace, lot copy giant robot brain work with. The result seconds this:Well folks, time year again. The time stretchy pants prepare feast like theres tomorrow. Thats right, Thanksgiving And unique traditions, theres thing agree on: Thanksgiving ultimate test willpower. Lets real, hard resist succulent turkey, buttery mashed potatoes, delicious pumpkin pie. But, lets forget real star show: stuffing. I mean, resist dish thats basically bread butter? Not guy, thats sure. I subject you, dear readers, rest atrocious, clichriddled piece writing subject months early months late.I tried again. Write 600word essay style humor columnist Scott Hollifield Thanksgiving.Heres I got: Ladies gentlemen, time thinking caps ready wild ride mind favorite humor columnist, Scott Hollifield Todays topic, ask? Well, Im glad asked, Ive dying talk thats mind now. And that, friends, great debate century: paper plastic? It went like that, torture read.Combined, 1,200 words pieces, mentioning monkeys, beer, dogs, groundhogs, Bigfoot, George Jones, goats, Cousin Junior, Burt Reynolds movies, street cats, irresponsible parenting, beating tire tool, semitrucks, bluegrass music, robots, UFOs government conspiracies. Yes, robot equipped AI dressed stretchy pants thinking cap, someday place, wont today. Scott Hollifield editor The McDowell News Marion humor columnist. rhollifield 0 Comments Tags School Systems Music Zoology Education Computer Science Food Internet Industry Literature Gastronomy Art Restaurant Industry Get local news delivered inbox Daily Headlines newsletter. Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Related story Most Popular New business Marion: Roaming Buffalo Outpost Western wear, farmtotable meats In Marion, place buffalo roam. McDowell man wins 100,000 scratchoff ticket John Cannon Marion tried luck 30 scratchoff ticket 100,000 prize. Know them? McDowell deputies like chat missing catalytic converter. McDowell County Sheriffs Office investigators need help identifying individuals wanted questioning. HISTORY Channel featuring Morganton vehicle detailer premiere Wednesday A career started grandpas driveway landed Morganton man cast HISTORY Channel premiering week. Mobile home, RV burn separate Marion fires. Local firefighters responded blazes hours, Marion Fire Department said Monday. Winds bring trees, powerlines McDowell Saturday Strong winds Saturday brought trees powerlines McDowell County. McDowell County Superior court cases. Here results. A Marion man charged sexual assault teenager sentenced probation recent term McDowell County Superior Court. Construction begins miles new trails Old Fort The U.S. Forest Services Grandfather Ranger District, community partners Old Fort, announced Tuesday miles Caldwell deputies chase car running rims downtown Morganton I said, damn, hes fire, witness told The News Herald. McDowell authorities arrest fugitive wanted Ohio McDowell authorities located fugitive Ohio wanted rape, Sheriffs Office said Tuesday news release. Listen subscribe: Apple Podcasts Google Podcasts Spotify Stitcher RSS Feed Omny Studio Watch Now: Related Video Missouri House Representatives introduces dress code women Arabian Gulf Cup: Football event brings fans, tourists Basra Arabian Gulf Cup: Football event brings fans, tourists Basra Ukraine war taking heavy toll servicemen: Tens thousands likely suffer PTSD Ukraine war taking heavy toll servicemen: Tens thousands likely suffer PTSD NYC sunflowers highlight Ukraine war, refugees NYC sunflowers highlight Ukraine war, refugees Recommended Close 1 2 PIXABAY Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter Sites Partners Place Ad Todays Deal Event Calendar Join Our Team Newsletter Signup Services Manage Subscription Us Advertise Photo Submissions Carrier Become Carrier 2023 The McDowell News, 136 Logan St. Marion PO Box 610 Marion, NC 28752 Terms Use Do Not Sell My Info Preferences Powered BLOX Content Management System .
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https://menafn.com/1107059964/Green-Digital-Economy-Platform-Launched-To-Empower-62-Million-Indonesian-Farmers-With-Ai-And-Technology
| 2023-09-13T00:00:00 |
en
|
Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology | MENAFN.COM
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Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology | MENAFN.COM
Wednesday,
13 September 2023
03:28 GMT
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Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology
Date
9/13/2023 7:13:46 AM
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(MENAFN- PR Newswire) The Green Digital Economy Platform (GDEP), endorsed by Dr. Moeldoko, Indonesia's Presidential Chief of Staff, is a significant step for Indonesia and Korea toward championing sustainability, fostering digital well-being, and advancing the digital economy. By leveraging Korea's technological advancements, Indonesia's vast market and resources, and global R&D and investment, the Green Digital Economy Platform is poised to drive transformative digital innovations across agri-tech, climate-tech, and carbon trading. This platform is an international collaboration brought to life by HumanX, the Maju Tani Movement, and the DQ Institute. SEOUL, Korea, Sept. 13, 2023 /PRNewswire/ -- The official launch of the Green Digital Economy Platform (GDEP), an innovative international initiative was announced today. The launch, endorsed by Dr. Moeldoko, Indonesia's Presidential Chief of Staff, is a significant step for Indonesia and Korea toward championing sustainability, fostering digital well-being, and advancing the digital economy. The GDEP is spearheaded by HumanX, a global partnership promoting human-centred technology, in collaboration with the Maju Tani Movement in Indonesia, and the DQ Institute. Continue Reading
Professor Nam-Joon Cho, Dr Kim Sang-Hyup, Dr Moeldoko, Dr Soonmin Bae, Dr. Yuhyun Park, CEO Choi Jin-Young
This launch follows the 24th ASEAN-Republic of Korea Summit held on 6 September 2023, which made an agreement to promote green and digital economy, science, technology, and innovation, and carbon neutrality in the region.
The GDEP is a business collaboration platform that aligns digital economy and sustainability by pioneering the "cross economy" model, extending beyond the traditional "circular economy" framework. By leveraging Korea's technological advancements, Indonesia's vast market and resources, and global R&D and investment, the GDEP is poised to drive transformative digital innovations across agri-tech, climate-tech, and carbon trading. The multifaceted impacts on the digital economy and sustainability will be monitored through the Digital-ESG Index, led by the Taskforce on Digital-Related Financial Disclosure.
Dr. Moeldoko stated, "Through the GDEP, we aim to empower 62 million Indonesian farmers with AI and digital transformation, positioning Indonesia as a global leader in agri-tech innovation." He emphasized the significance of sustainability and the digital economy, particularly in addressing food security. Dr. Moeldoko who also serves as the Chairman of the Indonesian Farmers' Association (HKTI) has recently become the "Father of the Maju-Tani Movement of Indonesia". This grass-root movement, led by the young generation in Indonesia, aims to transform traditional agriculture into a highly profitable agri-tech sector.North Kalimantan, Indonesia, has been designated as the platform's testing ground, playing a crucial role as a national and global hub for knowledge dissemination. Through the GDEP, farmers will receive digital literacy and digital skill training while gaining access to cutting-edge practices and technologies, including meta-farming.Dr. Yuhyun Park, the founder of HumanX and DQ Institute, expressed, "Our objective is to establish an innovative collaboration platform that empowers Indonesian farmers to experience significant threefold economic benefits by integrating digitalization and engagement in carbon trading, tsubstantially broadening their sources of income."Dr. Kim Sang-Hyup, the Chairperson of the Presidential Commission on Carbon Neutrality and Green Growth, who co-chairs with Han Duck-Soo, the Prime Minister of Korea, said, "Indonesia is an important strategic partner of Korea. As we celebrate the 50th anniversary of diplomatic partnership, both countries need to forge concrete economic collaborations to collectively pursue carbon neutrality and digital innovation, bolstering the green economy. Hence, this collaboration holds significant meaning."The GDEP will engage a broad network of multi-stakeholders in both countries to translate the vision into reality, fostering a landscape ripe for innovation and sustainable growth. The investment in the platform is expected to exceed USD $1 billion.For media inquiries, please contact:Ms Eris Seah Email: [email protected] Phone: +6593969200 About the Green Digital Economy Platform (GDEP) The GDEP aims to establish an innovation ecosystem that connects Korean and Indonesian businesses and international R&D partners and investors. Its overarching mission is to champion sustainability, foster digital well-being, and advance the digital economy, anchored on the following three pillars: Technopreneurship: Through strategic collaborations with technology R&D, intellectual property (IP), and expertise from leading Korean and international universities and companies, coupled with foreign investments and government support, the GDEP aims to foster an environment where both Indonesian and Korean MSMEs and startups can thrive, potentially attaining 'unicorn' status. This is guided by the principle of the cross-economy. Carbon Credit Trading: Leveraging theDigital-ESG Standards, the GDEP will implement a framework for carbon offsets valuation and carbon trading. This strategy is designed to ensure that stakeholders derive extended benefits from their carbon trading efforts. Impact Monitoring: The integration of the Digital-ESG Index plays a crucial role in monitoring portfolio performance. This metric will not only assess real-world impact but also provide valuable insights into the nation's progress in the fields of the digital economy and sustainable practices. About HumanX HumanX is a global partnership of academic, business, and investment communities that are committed to advancing human-centric AI and technology. It is initiated by the DQ Institute with the objective of revolutionizing the global landscape of AI and technology innovation and investment, guided by the principles of Digital-ESG (DESG) Standards. HumanX cultivates a robust ecosystem by fostering strategic collaborations among consciinvestors, innovators, and partners through three pillars: setting the standards, investing the funds, and monitoring the impact.More information: ; About Maju Tani Movement The Maju Tani Movement is a grass-roots movement to transform traditional agriculture with digitalization while promoting sustainability. It first proposed the concept of Meta Farming where everyone can become a farmer even without land through connecting farming with digital technology. The primary objective of the Maju Tani Movement is to inspire the young generation to become farmers while promoting agri-technology.More information: , 24 hours chat : +62811-1062-007Photo - SOURCE DQ Institute MENAFN13092023003732001241ID1107059964
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Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology
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Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology MENAFN.COM Wednesday, 13 September 2023 03:28 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 Green Digital Economy Platform Launched To Empower 62 Million Indonesian Farmers With Ai And Technology Date 9132023 7:13:46 AM Share Facebook Tweet Twitter MENAFN PR Newswire The Green Digital Economy Platform GDEP, endorsed Dr. Moeldoko, Indonesias Presidential Chief Staff, significant step Indonesia Korea championing sustainability, fostering digital wellbeing, advancing digital economy. By leveraging Koreas technological advancements, Indonesias vast market resources, global RD investment, Green Digital Economy Platform poised drive transformative digital innovations agritech, climatetech, carbon trading. This platform international collaboration brought life HumanX, Maju Tani Movement, DQ Institute. SEOUL, Korea, Sept. 13, 2023 PRNewswire The official launch Green Digital Economy Platform GDEP, innovative international initiative announced today. The launch, endorsed Dr. Moeldoko, Indonesias Presidential Chief Staff, significant step Indonesia Korea championing sustainability, fostering digital wellbeing, advancing digital economy. The GDEP spearheaded HumanX, global partnership promoting humancentred technology, collaboration Maju Tani Movement Indonesia, DQ Institute. Continue Reading Professor NamJoon Cho, Dr Kim SangHyup, Dr Moeldoko, Dr Soonmin Bae, Dr. Yuhyun Park, CEO Choi JinYoung This launch follows 24th ASEANRepublic Korea Summit held 6 September 2023, agreement promote green digital economy, science, technology, innovation, carbon neutrality region. The GDEP business collaboration platform aligns digital economy sustainability pioneering cross economy model, extending traditional circular economy framework. By leveraging Koreas technological advancements, Indonesias vast market resources, global RD investment, GDEP poised drive transformative digital innovations agritech, climatetech, carbon trading. The multifaceted impacts digital economy sustainability monitored DigitalESG Index, led Taskforce DigitalRelated Financial Disclosure. Dr. Moeldoko stated, Through GDEP, aim empower 62 million Indonesian farmers AI digital transformation, positioning Indonesia global leader agritech innovation. He emphasized significance sustainability digital economy, particularly addressing food security. Dr. Moeldoko serves Chairman Indonesian Farmers Association HKTI recently Father MajuTani Movement Indonesia. This grassroot movement, led young generation Indonesia, aims transform traditional agriculture highly profitable agritech sector.North Kalimantan, Indonesia, designated platforms testing ground, playing crucial role national global hub knowledge dissemination. Through GDEP, farmers receive digital literacy digital skill training gaining access cuttingedge practices technologies, including metafarming.Dr. Yuhyun Park, founder HumanX DQ Institute, expressed, Our objective establish innovative collaboration platform empowers Indonesian farmers experience significant threefold economic benefits integrating digitalization engagement carbon trading, tsubstantially broadening sources income.Dr. Kim SangHyup, Chairperson Presidential Commission Carbon Neutrality Green Growth, cochairs Han DuckSoo, Prime Minister Korea, said, Indonesia important strategic partner Korea. As celebrate 50th anniversary diplomatic partnership, countries need forge concrete economic collaborations collectively pursue carbon neutrality digital innovation, bolstering green economy. Hence, collaboration holds significant meaning.The GDEP engage broad network multistakeholders countries translate vision reality, fostering landscape ripe innovation sustainable growth. The investment platform expected exceed USD 1 billion.For media inquiries, contact:Ms Eris Seah Email: [email protected] Phone: 6593969200 About Green Digital Economy Platform GDEP The GDEP aims establish innovation ecosystem connects Korean Indonesian businesses international RD partners investors. Its overarching mission champion sustainability, foster digital wellbeing, advance digital economy, anchored following pillars: Technopreneurship: Through strategic collaborations technology RD, intellectual property IP, expertise leading Korean international universities companies, coupled foreign investments government support, GDEP aims foster environment Indonesian Korean MSMEs startups thrive, potentially attaining unicorn status. This guided principle crosseconomy. Carbon Credit Trading: Leveraging theDigitalESG Standards, GDEP implement framework carbon offsets valuation carbon trading. This strategy designed ensure stakeholders derive extended benefits carbon trading efforts. Impact Monitoring: The integration DigitalESG Index plays crucial role monitoring portfolio performance. This metric assess realworld impact provide valuable insights nations progress fields digital economy sustainable practices. About HumanX HumanX global partnership academic, business, investment communities committed advancing humancentric AI technology. It initiated DQ Institute objective revolutionizing global landscape AI technology innovation investment, guided principles DigitalESG DESG Standards. HumanX cultivates robust ecosystem fostering strategic collaborations consciinvestors, innovators, partners pillars: setting standards, investing funds, monitoring impact.More information: ; About Maju Tani Movement The Maju Tani Movement grassroots movement transform traditional agriculture digitalization promoting sustainability. It proposed concept Meta Farming farmer land connecting farming digital technology. The primary objective Maju Tani Movement inspire young generation farmers promoting agritechnology.More information: , 24 hours chat : 628111062007Photo SOURCE DQ Institute MENAFN13092023003732001241ID1107059964 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 IndiaBorn Fedex CEO Raj Subramaniam Wins Top Biz Award For Asian Amer... Air Force Commander Thanks Ukrainian Pilots For Excellent Combat Work ... BJP Will Speak About Sanatan Dharma Till Lok Sabha Elections: Goa Fo... Is It Na Khaunga, Na Khane Dunga Model: Congress To BJP Over Himanta... Defense Minister Leaves For Uae On Official Visit... Kim Jong Un And Putin Meet In Russian Spaceport, Ukraine And Tech Coop... Stay Connected Followers Likes itunes App Store RSS More Stories Forescout Releases 2023H1 Threat Review... Brazil To Host Forum To Unite Global Halal Industry Stakeholders... Bloom Holding Begins Construction Work At Phase Two Of Bloom Living, Tole... Address Hotels Resorts Unveils Nuha: Uaes First ChatgptPowered Virt... HandSlaughtered Meat Is Better For The Body And Soul: Al Islami Foods ... Valor Hospitality Partners Continues Middle East Expansion With Second Om... Students To Benefit From Scholarships And Affordable Tuition Fees Offered... Fdf Launches Series Of Special Events And Programs At Jebel Hafeet Commun... Ace Events Elevates Dubais Nightlife With International Acts And Unforge... Hurtful Dress: Why China Wants To Criminalize The Kimono... Siddharth Gupta Is In Singham Mode In The Purvanchal Files New Traile... 5 Types Of Employee Fraud... 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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] | 1 | 3,081 |
https://menafn.com/1107063122/Gptconsole-Launches-Industry-First-Intelligent-Cli-And-Autonomous-Ai-Agents
| 2023-09-13T00:00:00 |
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Gptconsole Launches Industry-First Intelligent Cli And Autonomous Ai Agents | MENAFN.COM
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Gptconsole Launches Industry-First Intelligent Cli And Autonomous Ai Agents | MENAFN.COM
Wednesday,
13 September 2023
11:50 GMT
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Gptconsole Launches Industry-First Intelligent Cli And Autonomous Ai Agents
Date
9/13/2023 3:16:17 PM
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(MENAFN- EIN Presswire)
GPTConsole helps developers generate web/mobile applications and perform web automation through prompts.
SAN RAMON, CALIFORNIA, UNITED STATES, September 13, 2023/EINPresswire/ -- GPTConsole has announced the launch of its advanced Command Line Interface (CLI) tool, a first of its kind in the industry. The tool leverages the most successful Large Language Models (LLMs) in the industry like OpenAI's GPT-4 and Googl's PaLM 2 to facilitate real-time coding collaboration with LLMs. It also helps developers seamlessly generate web and mobile applications and perform web automation through intuitive prompts.
What sets GPTConsole apart is its introduction of autonomAI agents, including Pixie and Bird, with more in the pipeline. These agents are designed to assist developers in a range of tasks, from managing social media accounts to creating sophisticated landing pages.
Pixie, the AutonomAI Web Developer , generates landing pages using ReactJS based on prompts. Developers can also request code updates through prompts. The product roadmap includes generating full web and mobile applications based on prompts. Bird, on the other hand, serves as a personal brand manager , enhancing Twitter account activity to boost your online presence.The product roadmap includes complete browser automation based on prompts.
The CLI tool also introduces an industry-first feature: infinite context. The CLI remembers all previprompts and provides the most relevant ones as context to the LLM. This feature ensures personalized and context-relevant responses over time, marking a leap forward in intelligent response generation.
GPTConsole is offered as an NPM package integrated with a dashboard, allowing developers to easily install the tool on their local machines, no further steps required. marking a significant stride towards fully autonomAI agents in local machines. The tool also supports URL-based prompts, facilitating the execution of more complex tasks with ease.
Hari Gadipudi, CEO of GPTConsole, expressed his excitement about the launch, stating, "GPTConsole is not just smart; it's the first CLI tool capable of generating full-fledged applications. We're pushing the boundaries of what AI can do." He further added, "With GPTConsole, automating tasks is as simple as speaking natural language; the AI agent understands and executes."
GPTConsole is not just another CLI; it is a pioneering step towards fully autonomprogramming, a tool designed to eliminate the steep learning curve often associated with new technologies.
"Type what you want, and our AutonomAgents like Pixie and Bird do the heavy lifting for you," shared Gadipudi.
Developers can look forward to a more streamlined and efficient coding experience with GPTConsole, a tool that remembers past prompts and provides intel, always on-point.
GPTConsole, which started its journey in 2023, is on a mission to enhance the way developers interact with their coding environment, with plans to introduce more autonomagents to the console to expand the range of tasks it can perform.
For any media or commercial inquiries, users can visit
For updates, follow GPTConsole on LinkedIn and Twitter at @gptconsole
About the Company:
Founded in 2023, GPTConsole is at the forefront of transforming the developer's coding environment through its advanced Command Line Interface (CLI) tool. Leveraging the power of artificial intelligence, the company introduces autonomAI agents, facilitating real-time coding collaboration and significantly enhancing web and mobile application development.Media Relations
GPTConsole
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Gptconsole Launches Industry-First Intelligent Cli And Autonomous Ai Agents
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Gptconsole Launches IndustryFirst Intelligent Cli And Autonomous Ai Agents MENAFN.COM Wednesday, 13 September 2023 11:50 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 Gptconsole Launches IndustryFirst Intelligent Cli And Autonomous Ai Agents Date 9132023 3:16:17 PM Share Facebook Tweet Twitter MENAFN EIN Presswire GPTConsole helps developers generate webmobile applications perform web automation prompts. SAN RAMON, CALIFORNIA, UNITED STATES, September 13, 2023EINPresswire GPTConsole announced launch advanced Command Line Interface CLI tool, kind industry. The tool leverages successful Large Language Models LLMs industry like OpenAIs GPT4 Googls PaLM 2 facilitate realtime coding collaboration LLMs. It helps developers seamlessly generate web mobile applications perform web automation intuitive prompts. What sets GPTConsole apart introduction autonomAI agents, including Pixie Bird, pipeline. These agents designed assist developers range tasks, managing social media accounts creating sophisticated landing s. Pixie, AutonomAI Web Developer , generates landing ReactJS based prompts. Developers request code updates prompts. The product roadmap includes generating web mobile applications based prompts. Bird, hand, serves personal brand manager , enhancing Twitter account activity boost online presence.The product roadmap includes complete browser automation based prompts. The CLI tool introduces industryfirst feature: infinite context. The CLI remembers previprompts provides relevant ones context LLM. This feature ensures personalized contextrelevant responses time, marking leap forward intelligent response generation. GPTConsole offered NPM package integrated dashboard, allowing developers easily install tool local machines, steps required. marking significant stride fully autonomAI agents local machines. The tool supports URLbased prompts, facilitating execution complex tasks ease. Hari Gadipudi, CEO GPTConsole, expressed excitement launch, stating, GPTConsole smart; CLI tool capable generating fullfledged applications. Were pushing boundaries AI do. He added, With GPTConsole, automating tasks simple speaking natural language; AI agent understands executes. GPTConsole CLI; pioneering step fully autonomprogramming, tool designed eliminate steep learning curve associated new technologies. Type want, AutonomAgents like Pixie Bird heavy lifting you, shared Gadipudi. Developers look forward streamlined efficient coding experience GPTConsole, tool remembers past prompts provides intel, onpoint. GPTConsole, started journey 2023, mission enhance way developers interact coding environment, plans introduce autonomagents console expand range tasks perform. For media commercial inquiries, users visit For updates, follow GPTConsole LinkedIn Twitter About Company: Founded 2023, GPTConsole forefront transforming developers coding environment advanced Command Line Interface CLI tool. Leveraging power artificial intelligence, company introduces autonomAI agents, facilitating realtime coding collaboration significantly enhancing web mobile application development.Media Relations GPTConsole Visiton social media: Twitter LinkedIn MENAFN13092023003118003196ID1107063122 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 SC Warns Spicejet CMD Ajay Singh For Making Default In Payment Of Cred... Us Envoy Calls On Taliban To Alter Policies For Relations Normalizatio... Lukashenko Must Be Held Accountable On Par With Putin European Parli... Russias Attacks On Ukrainian Ports Damaged 105 Infrastructure Facilit... Ripples Doggedness Meets Secs Challenge In Ongoing Lawsuit... Prosecutors Suspend Probe Into Cocaine Seizure At Swiss Nespresso Fact... Stay Connected Followers Likes itunes App Store RSS More Stories JK Leaders Express Grief At The Death Of 3 Security Personnel ... SC Warns Spicejet CMD Ajay Singh For Making Default In Payment Of Credit ... 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https://menafn.com/1107135672/Tripleblind-Appoints-Prat-Moghe-As-CEO-And-Announces-New-AI-Privacy-Platform
| 2023-09-25T00:00:00 |
en
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Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform | MENAFN.COM
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Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform | MENAFN.COM
Monday,
25 September 2023
05:19 GMT
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Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform
Date
9/25/2023 9:18:01 AM
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(MENAFN- GlobeNewsWire - Nasdaq) BOSTON & KANSAS, Sept. 25, 2023 (GLOBE NEWSWIRE) -- TripleBlind , the leader in AI and data privacy, today announced the appointment of former Cloudera Executive Vice President (EVP), Prat Moghe, as its new CEO. The company also announced its AI Privacy Platform to ensure automatic end-to-end privacy protection across the breadth of the full AI lifecycle from analytics, training, prompting, and inferencing. The new platform is built on patented AI BlindingTM technologies, such as Blind Learning and Blind Inferencing, that provide industry leading price performance and accuracy for privacy enhancement for all AI workloads. From its inception, TripleBlind has focused on developing the most performant and usable technologies that ensure privacy between AI models and sensitive data. TripleBlind has partnered with leading healthcare providers to develop transformative platforms to privately discover, validate and deploy AI algorithms on de-identified data to accelerate patient outcomes. Enterprise leaders are aware of the transformative potential of AI. These applications hold the promise of unlocking an impressive economic windfall, estimated at $2.6 trillion to $4.4 trillion annually across various industries (McKinsey, 2023). However, their enthusiasm is tempered by the pressing concern of data privacy, as 77% of enterprises identify the evolving regulatory landscape as an obstacle to the widespread adoption of Large Language Models (LLMs). “Balancing the promise of Gen AI's growth, particularly LLMs, with the need to safeguard privacy has become a challenge for forward-thinking leaders. As a key tenet of responsible AI, privacy of sensitive data in use is an open challenge today,” said Riddhiman Das, co-founder and Chief Product Officer at TripleBlind.“I am thrilled to team up with Prat to launch our platform at a time when organizations look to actualize the massive impact AI can deliver.” Prat Moghe was recently appointed as CEO at TripleBlind to spearhead the growth of TripleBlind's team, customer base, and product offerings. Moghe brings a wealth of experience in building and scaling category creating technology leaders in data and analytics including Cloudera and Netezza, as well as growing early-stage startups through product market fit. “TripleBlind's AI Privacy Platform is the result of years of research and multiple inventions by some of the most brilliant minds in cryptography and privacy. I am excited to be part of the team to help accelerate the growth of responsible AI powered by enterprise data,” said Prat Moghe, CEO at TripleBlind.“A growing number of healthcare systems and enterprises are excited to partner with us, and we're looking forward to welcoming them to our early access program.” "As we launch our VELOCITY platform to help the pharmaceutical industry with data science insights on-demand, Sentier is coming to the market with new Gen AI-based tools. Partnering with TripleBlind provides our clients with the trust that end-to-end privacy is enabled between models and enterprise data," said Rich Sokolosky, CEO at Sentier Analytics, a leading AI company for life sciences and a member of TripleBlind's early access program. To learn more about TripleBlind and sign up for the early access program, please visit: Read the latest blog by Riddhiman Das, TripleBlind Co-Founder, to learn more about the AI Privacy Platform. Resources Follow TripleBlind on LinkedI Follow TripleBlind on Twitte About TripleBlind TripleBlind's mission is to unblock AI adoption in healthcare systems and enterprises with automatic, end-to-end privacy. TripleBlind's patented AI BlindingTM technology enables privacy across the full lifecycle of AI, including analytics, training, and prompting. The TripleBlind team includes some of the world's leading cryptographers and is backed by General Catalyst, Mayo Clinic, and Accenture. To learn more, visit or contact us via email at . Media Contact Stephanie SchlegelOffleash for TripleBlind Tags privacyMENAFN25092023004107003653ID1107135672
Legal Disclaimer: MENAFN provides the information “as is” without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the provider above.
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Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform
|
Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform MENAFN.COM Monday, 25 September 2023 05:19 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 Tripleblind Appoints Prat Moghe As CEO And Announces New AI Privacy Platform Date 9252023 9:18:01 AM Share Facebook Tweet Twitter MENAFN GlobeNewsWire Nasdaq BOSTON KANSAS, Sept. 25, 2023 GLOBE NEWSWIRE TripleBlind , leader AI data privacy, today announced appointment Cloudera Executive Vice President EVP, Prat Moghe, new CEO. The company announced AI Privacy Platform ensure automatic endtoend privacy protection breadth AI lifecycle analytics, training, prompting, inferencing. The new platform built patented AI BlindingTM technologies, Blind Learning Blind Inferencing, provide industry leading price performance accuracy privacy enhancement AI workloads. From inception, TripleBlind focused developing performant usable technologies ensure privacy AI models sensitive data. TripleBlind partnered leading healthcare providers develop transformative platforms privately discover, validate deploy AI algorithms deidentified data accelerate patient outcomes. Enterprise leaders aware transformative potential AI. These applications hold promise unlocking impressive economic windfall, estimated 2.6 trillion 4.4 trillion annually industries McKinsey, 2023. However, enthusiasm tempered pressing concern data privacy, 77 enterprises identify evolving regulatory landscape obstacle widespread adoption Large Language Models LLMs. Balancing promise Gen AIs growth, particularly LLMs, need safeguard privacy challenge forwardthinking leaders. As key tenet responsible AI, privacy sensitive data use open challenge today, said Riddhiman Das, cofounder Chief Product Officer TripleBlind.I thrilled team Prat launch platform time organizations look actualize massive impact AI deliver. Prat Moghe recently appointed CEO TripleBlind spearhead growth TripleBlinds team, customer base, product offerings. Moghe brings wealth experience building scaling category creating technology leaders data analytics including Cloudera Netezza, growing earlystage startups product market fit. TripleBlinds AI Privacy Platform result years research multiple inventions brilliant minds cryptography privacy. I excited team help accelerate growth responsible AI powered enterprise data, said Prat Moghe, CEO TripleBlind.A growing number healthcare systems enterprises excited partner us, looking forward welcoming early access program. As launch VELOCITY platform help pharmaceutical industry data science insights ondemand, Sentier coming market new Gen AIbased tools. Partnering TripleBlind provides clients trust endtoend privacy enabled models enterprise data, said Rich Sokolosky, CEO Sentier Analytics, leading AI company life sciences member TripleBlinds early access program. To learn TripleBlind sign early access program, visit: Read latest blog Riddhiman Das, TripleBlind CoFounder, learn AI Privacy Platform. Resources Follow TripleBlind LinkedI Follow TripleBlind Twitte About TripleBlind TripleBlinds mission unblock AI adoption healthcare systems enterprises automatic, endtoend privacy. TripleBlinds patented AI BlindingTM technology enables privacy lifecycle AI, including analytics, training, prompting. The TripleBlind team includes worlds leading cryptographers backed General Catalyst, Mayo Clinic, Accenture. To learn more, visit contact email . Media Stephanie SchlegelOffleash TripleBlind Tags privacyMENAFN25092023004107003653ID1107135672 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 9252023 Most popular stories National Daughters Day 2023 Wishes: Here Are Some Messages, FacebookW... Whos Your Gynac? Is About Metamorphosis Of A Fresher ObstetricianG... Bangladesh Tourist Police Launches 247 Helpline For Travellers... 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PM Modis Whatsapp Community Channel Crosses 5Mn Followers Mark In 6 Days... Big Unlisted Companies May Come Under Tighter Regulatory Norms... 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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] | 1 | 3,083 |
https://menafn.com/1107190217/Googles-new-phone-to-run-AI-on-device
| 2023-10-04T00:00:00 |
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Google's new phone to run AI on-device | MENAFN.COM
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Google's new phone to run AI on-device | MENAFN.COM
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Google's new phone to run AI on-device
Date
10/4/2023 3:16:38 PM
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(MENAFN- AFP) Google on Wednesday said its latest premium-priced Pixel phone would have powerful generative AI models running independently on the device, as the search engine giant seeks to lure buyers away from the latest iPhone. The announcement by Google caps the autumn release season for big tech hardware that saw Apple unveil the iPhone 15 series and Meta officially launch its latest VR headset.Running on a powerful chip, Google's Pixel 8 Pro would carry out certain AI functions on the device itself instead of relying on transfers from cloud data centers that require heavy bandwidth. At a launch event in New York, Rick Osterloh, SVP of devices and services at Google, said that the company's AI teams had figured out how to "distill" AI models "into a version efficient enough to run on our flagship Pixel."This would greatly enhance existing AI tools on Pixel phones, such as removing blemishes or unwanted intrusions in photographs.Later this on-device ability would expand to other AI features, Osterloh said.Pixel phones would also begin testing an AI-amped assistant that would bring many of the abilities of Google's ChatGPT-style Bard onto the phone.In time, the company said the AI assistant would provide real-time help such as choosing the best path for a hike, sifting through emails or planning a birthday party. This would be handled through either spoken word, on-screen prompts or by using images, in a similar way that the more powerful chatbots work already."Assistant with Bard combines personalized help with reasoning and genitive capabilities," said Monika Gupta, vice president of product management at Google.Big tech's hardware release season has featured many promises of AI enhancements, including Amazon teasing an upgrade of its Alexa voice assistant to function in a more human-like and "smart" fashion.As with the other announcements, Google said that many of these AI powers were at an early phase and would be enhanced gradually.Google caught some by surprise with news that the Pixel 8 Pro would also come equipped with a temperature reader, with approval pending from US regulators to use it for measuring body temperature.MENAFN04102023000143011026ID1107190217
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Google's new phone to run AI on-device
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Googles new phone run AI ondevice 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 Googles new phone run AI ondevice Date 1042023 3:16:38 PM Share Facebook Tweet Twitter MENAFN AFP Google Wednesday said latest premiumpriced Pixel phone powerful generative AI models running independently device, search engine giant seeks lure buyers away latest iPhone. The announcement Google caps autumn release season big tech hardware saw Apple unveil iPhone 15 series Meta officially launch latest VR headset.Running powerful chip, Googles Pixel 8 Pro carry certain AI functions device instead relying transfers cloud data centers require heavy bandwidth. At launch event New York, Rick Osterloh, SVP devices services Google, said companys AI teams figured distill AI models version efficient run flagship Pixel.This greatly enhance existing AI tools Pixel phones, removing blemishes unwanted intrusions photographs.Later ondevice ability expand AI features, Osterloh said.Pixel phones begin testing AIamped assistant bring abilities Googles ChatGPTstyle Bard phone.In time, company said AI assistant provide realtime help choosing best path hike, sifting emails planning birthday party. This handled spoken word, onscreen prompts images, similar way powerful chatbots work already.Assistant Bard combines personalized help reasoning genitive capabilities, said Monika Gupta, vice president product management Google.Big techs hardware release season featured promises AI enhancements, including Amazon teasing upgrade Alexa voice assistant function humanlike smart fashion.As announcements, Google said AI powers early phase enhanced gradually.Google caught surprise news Pixel 8 Pro come equipped temperature reader, approval pending US regulators use measuring body temperature.MENAFN04102023000143011026ID1107190217 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 1042023 Most popular stories Demand Fears Weigh On Oil Prices... USD CAD Canadian Dollar Trading With Negative Bias... More Losses At Open For TSX... More 75,000 US healthcare workers begin 3day strike ... Stocks Extend Losing Streak On Commodity Weakness... Education Dilemma: Afghan Girls Dreams Deferred In Pakistan... Stay Connected Followers Likes itunes App Store RSS More Stories Indian Army es For 23 Missing Soldiers After Flash Flood... Call For Afghan Womens lusion In Global Conferences... Pakistan To Deport Over One Million Afghan Migrants Kabul Urges Recons... New PRC Guidelines Call On Agencies Clients To Partner On DEI... Kashmirs Traditional Walnut Harvesting Methods Claims Lives... Kargil Records 77.61 Turnout In Hill Council Elections... USD CAD Canadian Dollar Trading With Negative Bias... Innodata Unveils AI Applications... Demand Fears Weigh On Oil Prices... Indices Struggle To Recover... More Losses At Open For TSX... SP Regains Strength By Noon... 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
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https://meritalk.com/articles/centcom-hires-google-ai-and-cloud-expert-andrew-moore/
| 2023-04-24T00:00:00 |
en
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CENTCOM Hires Google AI and Cloud Expert Andrew Moore – MeriTalk
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CENTCOM Hires Google AI and Cloud Expert Andrew Moore – MeriTalk
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By: Jose Rascon
Apr 24, 2023
9:18 am
CENTCOM Hires Google AI and Cloud Expert Andrew Moore
The Defense Department’s (DoD) U.S. Central Command (CENTCOM) is looking to advance its abilities in AI and cloud technology with the recent hiring of Andrew Moore, the former director of artificial intelligence at Google’s cloud business.
According to a press release, Moore will focus his expertise in advising CENTCOM on how to expand its AI and cloud capabilities to better serve the organization’s mission. Moore’s title with CENTCOM is Advisor on AI, Robotics, Cloud Computing, and Data Analytics.
“I couldn’t be more excited and honored by this opportunity,” said Dr. Moore. “I love the math and creativity of advanced technology development, but like so many of my friends in the AI industry, I want to see that theory being applied where it really makes a positive difference and CENTCOM’s mission is seriously inspiring to me.”
Moore brings to the military ten years of experience from Google, and 13 years of as a professor of Computer Science and Robotics at Carnegie Mellon, according to his LinkedIn profile.
“Dr. Moore brings a level of expertise in AI, Cloud Computing, and Robotics that is unmatched,” said Gen. Michael Kurilla, commander of CENTCOM. “This hire is a tremendous win for the culture of innovation we’re building across CENTCOM. Dr. Moore will significantly accelerate our innovation initiatives.”
Part of the mission at CENTCOM will be “focused on collecting, organizing, and leveraging [its} data in a more efficient and effective way to support [its} missions,” said Schuyler Moore, CENTCOM’s Chief Technology Officer.
Moore will also be focused on “[applying] his wisdom and expertise to CENTCOM’s innovation task forces involved in unmanned systems, artificial intelligence, cloud compute on the edge and data analytics,” said Moore.
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CENTCOM Hires Google AI and Cloud Expert Andrew Moore
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CENTCOM Hires Google AI Cloud Expert Andrew Moore MeriTalk LinkedIn Twitter for: State Local UniversIT FITARA FedRAMP Home News Insight Events Research Resources AI Cloud Cyber Data MeriTV Podcasts Awards Advertise About Terms Use Menu Details By: Jose Rascon Apr 24, 2023 9:18 CENTCOM Hires Google AI Cloud Expert Andrew Moore The Defense Departments DoD U.S. Central Command CENTCOM looking advance abilities AI cloud technology recent hiring Andrew Moore, director artificial intelligence Googles cloud business. According press release, Moore focus expertise advising CENTCOM expand AI cloud capabilities better serve organizations mission. Moores title CENTCOM Advisor AI, Robotics, Cloud Computing, Data Analytics. I excited honored opportunity, said Dr. Moore. I love math creativity advanced technology development, like friends AI industry, I want theory applied makes positive difference CENTCOMs mission seriously inspiring me. Moore brings military years experience Google, 13 years professor Computer Science Robotics Carnegie Mellon, according LinkedIn profile. Dr. Moore brings level expertise AI, Cloud Computing, Robotics unmatched, said Gen. Michael Kurilla, commander CENTCOM. This hire tremendous win culture innovation building CENTCOM. Dr. Moore significantly accelerate innovation initiatives. Part mission CENTCOM focused collecting, organizing, leveraging [its data efficient effective way support [its missions, said Schuyler Moore, CENTCOMs Chief Technology Officer. Moore focused [applying] wisdom expertise CENTCOMs innovation task forces involved unmanned systems, artificial intelligence, cloud compute edge data analytics, said Moore. Read More About Emerging TechCloud Computing Recent Biden Nominates Bradsher VA Deputy Secretary How Create Talent Overcome Federal Technology Skills Gap Experts: Cyber, Kinetic Forces Should Battlefield Twins More Topics Categories Agile CIO Briefing Room CDM Critical Infrastructure Federal CIO Council FedRAMP FISMA FITARA MerITocracy MeriTV MGT Act Privacy Civil Liberties Special Report: Data Centers Supply Chain TBM TMF UniversIT Zero Trust CISA Civilian Agencies Agriculture CMS Commerce Education Energy EPA FCC FEC FTC General Services Administration Government Accountability Office Health Human Services Homeland Security Housing Urban Development Interior IRS Justice Labor NASA National Science Foundation NIST Nuclear Regulatory Commission OPM Small Business Administration Social Security Administration State Transportation Treasury Veterans Affairs Climate Change Congress Budget Hearings Oversight Legislation Defense Intelligence Air Force Army CIA DARPA DIA DISA DIU DOD CIO FBI GEOINT IARPA JAIC Marine Corps Navy NGA NSA ODNI U.S. Cyber Command Education Emerging Tech Artificial Intelligence Big Data Blockchain Broadband Cloud Computing Customer Experience Cybersecurity Daily Update Data Center Data Management Digital Service Election Security Health IT Hybrid Cloud Infrastructre Industry Innovation Internet Things Mobility Open Government Quantum Telework Energy FDIC Grants Happy Holidays Industry News GovTech4Biden UniversIT Judiciary Supreme Court NARA NCSC NIH NNSA OFAC ONCD SRE USAID USCIS USDA White House Biden Administration Transition OMB OSTP U.S. Digital Service Workforce Issues STEM Women Tech About Jose Rascon Jose Rascon MeriTalk Staff Reporter covering intersection government technology. 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| 2,023 |
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] | 1 | 3,085 |
https://mobilesyrup.com/2023/09/20/amazon-new-generative-ai-alexa-more-natural-personalized/?utm_source=rss&utm_medium=rss&utm_campaign=amazon-new-generative-ai-alexa-more-natural-personalized
| 2023-09-20T00:00:00 |
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Amazon unveils new generative AI model for Alexa that's more natural and personalized
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Amazon unveils new generative AI model for Alexa that's more natural and personalized
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SyrupArcade
Sep 19, 2023 | 7:04 PM EDT
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Sep 19, 2023 | 10:53 AM EDT
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Sep 18, 2023 | 4:08 PM EDT
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News
Sep 20, 2023 | 12:12 PM EDT
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Sep 20, 2023 | 12:12 PM EDT
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Amazon unveils new generative AI model for Alexa that’s more natural and personalized
The upgraded version of Alexa will not be available in Canada at launch
Karandeep Oberoi@DeepReporting Sep 20, 202312:12 PM EDT
0 comments
At its 2023 Fall Hardware event, Amazon announced a new Echo Show 8 smart home device alongside improved generative AI-enabled Alexa. Considering nearly a billion devices are connected to Alexa right now, upgrades to the voice-activated assistant are likely to be the main talking point of the keynote.
Dave Limp, Amazon’s senior vice president of devices and services, talked about the foundations of the Alexa language model: it needs to be fast during conversations, accurate in real-world applications, personalized for everyone that uses it, and it should have personality.
During a live example shared from the event, Limp asked what Alexa’s favourite football team is, and it replied, “I’m from Seattle, so my favourite team is the Seahawks. Go, 12th man!” Subsequently, Alexa asked Limp if he planned to have friends over to watch the game and offered suggestions for things to cook. It then composed a message on behalf of Limp to send as an invite to his friends.
“Alexa, talk large language models to me.”😉Our latest LLM has been significantly optimized for voice and the things we know our customers love — like having access to real-time information, efficiently controlling your smart home, and getting the most out of home entertainment. pic.twitter.com/c4yzrrnvBd
— Amazon (@amazon) September 20, 2023
Tonality is also something the new AI-upgraded Alexa will excel at, says Amazon. According to the tech giant, Alexa will speak more human-like and less like a robot, with expressive voice and emotions, and even add in the occasional ‘uhh’ or ‘uhm.’
Additionally, Alexa can detect a user’s body language, like eye contact. This allows the voice-activated assistant to learn that you’re looking at it and will listen to your commands without speaking the “Alexa” trigger word.
For smart home simplicity, Alexa can interact with various APIs to enable new capabilities, such as adjusting the lighting, temperature and security settings based on the user’s preferences and environment.
Amazon says that customers in the U.S. will get access to these new capabilities through a free preview on Echo devices they already own. The generative AI-enabled Alexa will work on nearly all Echo devices, including the original 2014 Echo.
Generative AI Alexa will likely eventually be available in Canada, but it’s unclear when. MobileSyrup will update this story when more information is available.
More to come…
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Amazon unveils new generative AI model for Alexa that's more natural and personalized
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Considering nearly billion devices connected Alexa right now, upgrades voiceactivated assistant likely main talking point keynote. Dave Limp, Amazons senior vice president devices services, talked foundations Alexa language model: needs fast conversations, accurate realworld applications, personalized uses it, personality. During live example shared event, Limp asked Alexas favourite football team is, replied, Im Seattle, favourite team Seahawks. Go, 12th man Subsequently, Alexa asked Limp planned friends watch game offered suggestions things cook. It composed message behalf Limp send invite friends. Alexa, talk large language models me.Our latest LLM significantly optimized voice things know customers love like access realtime information, efficiently controlling smart home, getting home entertainment. pic.c4yzrrnvBd Amazon September 20, 2023 Tonality new AIupgraded Alexa excel at, says Amazon. According tech giant, Alexa speak humanlike like robot, expressive voice emotions, add occasional uhh uhm. Additionally, Alexa detect users body language, like eye contact. This allows voiceactivated assistant learn youre looking listen commands speaking Alexa trigger word. For smart home simplicity, Alexa interact APIs enable new capabilities, adjusting lighting, temperature security settings based users preferences environment. Amazon says customers U.S. access new capabilities free preview Echo devices own. The generative AIenabled Alexa work nearly Echo devices, including original 2014 Echo. Generative AI Alexa likely eventually available Canada, unclear when. MobileSyrup update story information available. More come Facebook Twitter LinkedIn Reddit Featured News Microsoft accidentally shared 38TB sensitive data GitHub iPhone 16 Pro models reported feature 5x optical zoom lens Microsoft leak reveals Xbox Series X refresh cloud gaming goals Signup MobileSyrup news sent straight inbox Related Articles News Amazon reveals new Echo Frames improved audio, battery life News Amazon announces new Echo Show 8 faster Alexa responses, room adapting audio News Fitbit confirms Charge 6 coming later month new teaser video News Intels AI focus display companys 2023 Innovation event Comments Categories Us SyrupCast Contests Newsletter Tips Contests Social Facebook Twitter Instagram YouTube Reddit Newsletter Signup 2023 Blue Ant Media Privacy. Terms use. SyrupArcade Gaming News Carriers Smartphones Tablets Computers Apps Software Smart Home Automotive Accessories Streaming AI Deals Reviews Smartphones Tablets Computers Smart Home Automotive Accessories Gaming Apps Software Features Carriers Editorials Buyers Guide General Resources General Streaming Howtos Rate Plans Business General Government Security Privacy 5G Infrastructure Streaming Streaming Videos Tech Effect
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] | 1 | 3,086 |
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PS5 game streaming launches this month for PlayStation Plus Premium subscribers
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Valve says Counter Strike 2 isn’t on Mac because no one plays there
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Sony reveals refreshed PS5 models, but only in the U.S. to start
News
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EU commissioner flags X’s failure to tackle Israel-Hamas conflict disinformation
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Carriers
Oct 12, 2023 | 11:36 AM EDT
Koodo offering three months of free Amazon Prime on plans starting at $55
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Smartphones
Oct 11, 2023 | 7:02 PM EDT
Samsung Galaxy S21 series to get October security patch
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Leaked Pixel 8a renders reveal more rounded corners
Oct 9, 2023 | 4:15 PM EDT
Google’s Pixel hits nearly 40 million units shipped since 2016
Oct 4, 2023 | 2:05 PM EDT
Apple releases iOS 17 update to fix iPhone 15 Pro overheating issue
Oct 4, 2023 | 12:58 PM EDT
The Pixel 8 and 8 Pro will get seven years of updates
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Oct 10, 2023 | 4:33 PM EDT
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Oct 10, 2023 | 2:50 PM EDT
Apple iPad Mini refresh tipped to still not include 120Hz display
Oct 9, 2023 | 12:30 PM EDT
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Oct 2, 2023 | 2:00 PM EDT
Google reveals Chromebook Plus lineup, offering double the performance to last year’s models
Sep 26, 2023 | 6:16 PM EDT
Samsung Galaxy Tab S9 FE rumoured to feature IP68 rating
Apps & Software
Oct 12, 2023 | 12:19 PM EDT
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Oct 10, 2023 | 9:05 PM EDT
X rewrites rules on public interest posts
Oct 10, 2023 | 8:05 PM EDT
Hackers selling 23andMe profile data online with users’ repeat passwords
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Samsung joins Google in RCS push
Smart Home
Oct 12, 2023 | 10:14 AM EDT
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Oct 11, 2023 | 11:19 AM EDT
LG’s new evo M3 TV series supports wireless 4K 120Hz
Oct 10, 2023 | 1:37 PM EDT
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Oct 6, 2023 | 4:49 PM EDT
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Oct 9, 2023 | 4:30 PM EDT
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AirPods Pro (2nd-Gen) get bug fixes with new firmware release
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Oct 12, 2023 | 1:32 PM EDT
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Oct 3, 2023 | 8:02 PM EDT
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Garmin wearables are up to 50 percent off for Amazon Prime Day
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Pixel 8 Pro Review
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Pixel 8 Pro Review
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iPhone 15 and 15 Plus Review: Pro in disguise
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LG Gram (2023) Review: King of big and light
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Sonos Move 2 Review: Is the upgrade enough?
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Automotive
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Oct 11, 2023 | 3:29 PM EDT
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Privacy Commissioner’s office asks Canadians for feedback on new biometrics guidance
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Canada launches the Global Coalition on Telecommunications alongside national partners
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Ransomware group LockBit threatens to release ‘databases’ tied to The Weather Network breach
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Air Canada releases statement after brief cyber attack
Sep 19, 2023 | 4:08 PM EDT
Microsoft accidentally shared 38TB of sensitive data on GitHub
5G & Infrastructure
Oct 5, 2023 | 12:37 PM EDT
Northwestel brings fibre internet services to Tuktoyaktuk, NWT
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SaskTel makes 5G services available to more than 40 cell towers
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Xplore expands internet services to 33,000 Québec homes
Oct 2, 2023 | 1:00 PM EDT
Rogers turns on 5G services for all carriers, including Bell and Telus
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Google Assistant with Bard might come to Tensor Pixels, Galaxy S24 to start
Code in the Google app points to a slow rollout to specific devices
Jonathan Lamont@Jon_Lamont Oct 12, 20231:32 PM EDT
0 comments
Google’s revamped Assistant with Bard AI may only come to Tensor-powered Pixels and recent Samsung phones like the Galaxy S23 and forthcoming S24.
The details come from 9to5Google, which performed a teardown on the Google app APK. Teardowns, for those unfamiliar, involved decompiling an app and examining code to get an idea of in-development features. Naturally, information gleaned from work-in-progress code might not accurately reflect the final product, so take things with a grain of salt.
With that said, 9to5’s teardown of the Google app beta ‘version 14.41’ revealed that the company is targeting Assistant with Bard support for the Pixel 8 and 8 Pro (no surprise there) and the yet-to-be-announced Samsung Galaxy S24. Moreover, the company is working on supporting the Galaxy S23 series and as far back as the Pixel 6 series.
Based on the code, the publication believes the Pixel 8 series will get Assistant with Bard first, followed by the Galaxy S4 when it arrives early next year. Older Tensor-based Pixel models will follow along with the S23 before possible wider availability.
It’s also worth noting a Google blog post about Assistant with Bard noted it would be accessible on “Android and iOS mobile devices” in the coming months.
Google plans to deliver Assistant with Bard to early testers “soon” before bringing it to the public “over the next few months,” though it remains unclear if or when Canadians will get access to it.
9to5 also published a lengthy list of sample queries people can ask Assistant with Bard mined from the Google app code. You can check those out here.
Image credit: Google
Source: 9to5Google
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Google Assistant with Bard might come to Tensor Pixels, Galaxy S24 to start
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The details come 9to5Google, performed teardown Google app APK. Teardowns, unfamiliar, involved decompiling app examining code idea indevelopment features. Naturally, information gleaned workinprogress code accurately reflect final product, things grain salt. With said, 9to5s teardown Google app beta version 14.41 revealed company targeting Assistant Bard support Pixel 8 8 Pro surprise yettobeannounced Samsung Galaxy S24. Moreover, company working supporting Galaxy S23 series far Pixel 6 series. Based code, publication believes Pixel 8 series Assistant Bard first, followed Galaxy S4 arrives early year. Older Tensorbased Pixel models follow S23 possible wider availability. Its worth noting Google blog post Assistant Bard noted accessible Android iOS mobile devices coming months. Google plans deliver Assistant Bard early testers soon bringing public months, remains unclear Canadians access it. 9to5 published lengthy list sample queries people ask Assistant Bard mined Google app code. 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] | 1 | 3,087 |
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Artificial Intelligence Plus Internet of Things Market Forecast to 2026 with Global Key Companies Profile, Supply, Demand, Cost Structure – Monroe Scoop
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Artificial Intelligence Plus Internet of Things Market Forecast to 2026 with Global Key Companies Profile, Supply, Demand, Cost Structure – Monroe Scoop
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You are hereHomeGlobal NewsArtificial Intelligence Plus Internet of Things Market Forecast to 2026 with Global Key Companies Profile, Supply, Demand, Cost Structure
Artificial Intelligence Plus Internet of Things Market Forecast to 2026 with Global Key Companies Profile, Supply, Demand, Cost Structure
May 2, 2020 Anita
This report focuses on the global Artificial Intelligence Plus Internet of Things (AIOT) status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence Plus Internet of Things (AIOT) development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
Access the PDF sample of the report @ https://www.orbisresearch.com/contacts/request-sample/4214692
The key players covered in this study
AISPEECH
IBM
Intel
Gopher Protocol
Micron Technology
ShiftPixy Inc.
Twilio Inc.
Deep Vision
ALCES
Ceva
Market segment by Type, the product can be split into
Software
Hardware
Market segment by Application, split into
Smart Home
Vehicle System
Smart Robots
Smart Phones
Others
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Artificial Intelligence Plus Internet of Things (AIOT) status, future forecast, growth opportunity, key market and key players.
To present the Artificial Intelligence Plus Internet of Things (AIOT) development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.
In this study, the years considered to estimate the market size of Artificial Intelligence Plus Internet of Things (AIOT) are as follows:
History Year: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Browse the full report @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-plus-internet-of-things-aiot-market-size-status-and-forecast-2020-2026
Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Artificial Intelligence Plus Internet of Things (AIOT) Revenue
1.4 Market Analysis by Type
1.4.1 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Software
1.4.3 Hardware
1.5 Market by Application
1.5.1 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Share by Application: 2020 VS 2026
1.5.2 Smart Home
1.5.3 Vehicle System
1.5.4 Smart Robots
1.5.5 Smart Phones
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Global Growth Trends by Regions
2.1 Artificial Intelligence Plus Internet of Things (AIOT) Market Perspective (2015-2026)
2.2 Artificial Intelligence Plus Internet of Things (AIOT) Growth Trends by Regions
2.2.1 Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 Artificial Intelligence Plus Internet of Things (AIOT) Historic Market Share by Regions (2015-2020)
2.2.3 Artificial Intelligence Plus Internet of Things (AIOT) Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Artificial Intelligence Plus Internet of Things (AIOT) Market Growth Strategy
2.3.6 Primary Interviews with Key Artificial Intelligence Plus Internet of Things (AIOT) Players (Opinion Leaders)
Chapter Three: Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence Plus Internet of Things (AIOT) Players by Market Size
3.1.1 Global Top Artificial Intelligence Plus Internet of Things (AIOT) Players by Revenue (2015-2020)
3.1.2 Global Artificial Intelligence Plus Internet of Things (AIOT) Revenue Market Share by Players (2015-2020)
3.1.3 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Concentration Ratio
3.2.1 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Global Top Chapter Ten: and Top 5 Companies by Artificial Intelligence Plus Internet of Things (AIOT) Revenue in 2019
3.3 Artificial Intelligence Plus Internet of Things (AIOT) Key Players Head office and Area Served
3.4 Key Players Artificial Intelligence Plus Internet of Things (AIOT) Product Solution and Service
3.5 Date of Enter into Artificial Intelligence Plus Internet of Things (AIOT) Market
3.6 Mergers & Acquisitions, Expansion Plans
Chapter Four: Breakdown Data by Type (2015-2026)
4.1 Global Artificial Intelligence Plus Internet of Things (AIOT) Historic Market Size by Type (2015-2020)
4.2 Global Artificial Intelligence Plus Internet of Things (AIOT) Forecasted Market Size by Type (2021-2026)
Chapter Five: Artificial Intelligence Plus Internet of Things (AIOT) Breakdown Data by Application (2015-2026)
5.1 Global Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
5.2 Global Artificial Intelligence Plus Internet of Things (AIOT) Forecasted Market Size by Application (2021-2026)
Chapter Six: North America
6.1 North America Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
6.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in North America (2019-2020)
6.3 North America Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
6.4 North America Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Seven: Europe
7.1 Europe Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
7.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in Europe (2019-2020)
7.3 Europe Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
7.4 Europe Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Eight: China
8.1 China Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
8.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in China (2019-2020)
8.3 China Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
8.4 China Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Nine: Japan
9.1 Japan Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
9.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in Japan (2019-2020)
9.3 Japan Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
9.4 Japan Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Ten: Southeast Asia
10.1 Southeast Asia Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
10.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
10.4 Southeast Asia Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Eleven: India
11.1 India Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
11.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in India (2019-2020)
11.3 India Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
11.4 India Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
Chapter Twelve: Central & South America
12.1 Central & South America Artificial Intelligence Plus Internet of Things (AIOT) Market Size (2015-2020)
12.2 Artificial Intelligence Plus Internet of Things (AIOT) Key Players in Central & South America (2019-2020)
12.3 Central & South America Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Type (2015-2020)
12.4 Central & South America Artificial Intelligence Plus Internet of Things (AIOT) Market Size by Application (2015-2020)
13Key Players Profiles
13.1 AISPEECH
13.1.1 AISPEECH Company Details
13.1.2 AISPEECH Business Overview and Its Total Revenue
13.1.3 AISPEECH Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.1.4 AISPEECH Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020))
13.1.5 AISPEECH Recent Development
13.2 IBM
13.2.1 IBM Company Details
13.2.2 IBM Business Overview and Its Total Revenue
13.2.3 IBM Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.2.4 IBM Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.2.5 IBM Recent Development
13.3 Intel
13.3.1 Intel Company Details
13.3.2 Intel Business Overview and Its Total Revenue
13.3.3 Intel Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.3.4 Intel Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.3.5 Intel Recent Development
13.4 Gopher Protocol
13.4.1 Gopher Protocol Company Details
13.4.2 Gopher Protocol Business Overview and Its Total Revenue
13.4.3 Gopher Protocol Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.4.4 Gopher Protocol Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.4.5 Gopher Protocol Recent Development
13.5 Micron Technology
13.5.1 Micron Technology Company Details
13.5.2 Micron Technology Business Overview and Its Total Revenue
13.5.3 Micron Technology Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.5.4 Micron Technology Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.5.5 Micron Technology Recent Development
13.6 ShiftPixy Inc.
13.6.1 ShiftPixy Inc. Company Details
13.6.2 ShiftPixy Inc. Business Overview and Its Total Revenue
13.6.3 ShiftPixy Inc. Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.6.4 ShiftPixy Inc. Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.6.5 ShiftPixy Inc. Recent Development
13.7 Twilio Inc.
13.7.1 Twilio Inc. Company Details
13.7.2 Twilio Inc. Business Overview and Its Total Revenue
13.7.3 Twilio Inc. Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.7.4 Twilio Inc. Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.7.5 Twilio Inc. Recent Development
13.8 Deep Vision
13.8.1 Deep Vision Company Details
13.8.2 Deep Vision Business Overview and Its Total Revenue
13.8.3 Deep Vision Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.8.4 Deep Vision Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.8.5 Deep Vision Recent Development
13.9 ALCES
13.9.1 ALCES Company Details
13.9.2 ALCES Business Overview and Its Total Revenue
13.9.3 ALCES Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.9.4 ALCES Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.9.5 ALCES Recent Development
13.10 Ceva
13.10.1 Ceva Company Details
13.10.2 Ceva Business Overview and Its Total Revenue
13.10.3 Ceva Artificial Intelligence Plus Internet of Things (AIOT) Introduction
13.10.4 Ceva Revenue in Artificial Intelligence Plus Internet of Things (AIOT) Business (2015-2020)
13.10.5 Ceva Recent Development
14Analyst’s Viewpoints/Conclusions
15Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details
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Artificial Intelligence Plus Internet of Things Market Forecast to 2026 with Global Key Companies Profile, Supply, Demand, Cost Structure
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Artificial Intelligence Plus Internet Things Market Forecast 2026 Global Key Companies Profile, Supply, Demand, Cost Structure Monroe Scoop Skip content Saturday, May 2, 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 NewsArtificial Intelligence Plus Internet Things Market Forecast 2026 Global Key Companies Profile, Supply, Demand, Cost Structure Artificial Intelligence Plus Internet Things Market Forecast 2026 Global Key Companies Profile, Supply, Demand, Cost Structure May 2, 2020 Anita This report focuses global Artificial Intelligence Plus Internet Things AIOT status, future forecast, growth opportunity, key market key players. The study objectives present Artificial Intelligence Plus Internet Things AIOT development North America, Europe, China, Japan, Southeast Asia, India Central South America. Access PDF sample report @ The key players covered study AISPEECH IBM Intel Gopher Protocol Micron Technology ShiftPixy . Twilio . Deep Vision ALCES Ceva Market segment Type, product split Software Hardware Market segment Application, split Smart Home Vehicle System Smart Robots Smart Phones Others Market segment RegionsCountries, report covers North America Europe China Japan Southeast Asia India Central South America The study objectives report are: To analyze global Artificial Intelligence Plus Internet Things AIOT status, future forecast, growth opportunity, key market key players. To present Artificial Intelligence Plus Internet Things AIOT development North America, Europe, China, Japan, Southeast Asia, India Central South America. To strategically profile key players comprehensively analyze development plan strategies. To define, forecast market type, market key regions. In study, years considered estimate market size Artificial Intelligence Plus Internet Things AIOT follows: History Year: 20152019 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020 2026 For data information region, company, type application, 2019 considered base year. Whenever data information unavailable base year, prior year considered. Browse report @ Table Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking Artificial Intelligence Plus Internet Things AIOT Revenue 1.4 Market Analysis Type 1.4.1 Global Artificial Intelligence Plus Internet Things AIOT Market Size Growth Rate Type: 2020 VS 2026 1.4.2 Software 1.4.3 Hardware 1.5 Market Application 1.5.1 Global Artificial Intelligence Plus Internet Things AIOT Market Share Application: 2020 VS 2026 1.5.2 Smart Home 1.5.3 Vehicle System 1.5.4 Smart Robots 1.5.5 Smart Phones 1.5.6 Others 1.6 Study Objectives 1.7 Years Considered Chapter Two: Global Growth Trends Regions 2.1 Artificial Intelligence Plus Internet Things AIOT Market Perspective 20152026 2.2 Artificial Intelligence Plus Internet Things AIOT Growth Trends Regions 2.2.1 Artificial Intelligence Plus Internet Things AIOT Market Size Regions: 2015 VS 2020 VS 2026 2.2.2 Artificial Intelligence Plus Internet Things AIOT Historic Market Share Regions 20152020 2.2.3 Artificial Intelligence Plus Internet Things AIOT Forecasted Market Size Regions 20212026 2.3 Industry Trends Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porters Five Forces Analysis 2.3.5 Artificial Intelligence Plus Internet Things AIOT Market Growth Strategy 2.3.6 Primary Interviews Key Artificial Intelligence Plus Internet Things AIOT Players Opinion Leaders Chapter Three: Competition Landscape Key Players 3.1 Global Top Artificial Intelligence Plus Internet Things AIOT Players Market Size 3.1.1 Global Top Artificial Intelligence Plus Internet Things AIOT Players Revenue 20152020 3.1.2 Global Artificial Intelligence Plus Internet Things AIOT Revenue Market Share Players 20152020 3.1.3 Global Artificial Intelligence Plus Internet Things AIOT Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 Global Artificial Intelligence Plus Internet Things AIOT Market Concentration Ratio 3.2.1 Global Artificial Intelligence Plus Internet Things AIOT Market Concentration Ratio CRChapter Five: HHI 3.2.2 Global Top Chapter Ten: Top 5 Companies Artificial Intelligence Plus Internet Things AIOT Revenue 2019 3.3 Artificial Intelligence Plus Internet Things AIOT Key Players Head office Area Served 3.4 Key Players Artificial Intelligence Plus Internet Things AIOT Product Solution Service 3.5 Date Enter Artificial Intelligence Plus Internet Things AIOT Market 3.6 Mergers Acquisitions, Expansion Plans Chapter Four: Breakdown Data Type 20152026 4.1 Global Artificial Intelligence Plus Internet Things AIOT Historic Market Size Type 20152020 4.2 Global Artificial Intelligence Plus Internet Things AIOT Forecasted Market Size Type 20212026 Chapter Five: Artificial Intelligence Plus Internet Things AIOT Breakdown Data Application 20152026 5.1 Global Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 5.2 Global Artificial Intelligence Plus Internet Things AIOT Forecasted Market Size Application 20212026 Chapter Six: North America 6.1 North America Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 6.2 Artificial Intelligence Plus Internet Things AIOT Key Players North America 20192020 6.3 North America Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 6.4 North America Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Seven: Europe 7.1 Europe Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 7.2 Artificial Intelligence Plus Internet Things AIOT Key Players Europe 20192020 7.3 Europe Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 7.4 Europe Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Eight: China 8.1 China Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 8.2 Artificial Intelligence Plus Internet Things AIOT Key Players China 20192020 8.3 China Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 8.4 China Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Nine: Japan 9.1 Japan Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 9.2 Artificial Intelligence Plus Internet Things AIOT Key Players Japan 20192020 9.3 Japan Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 9.4 Japan Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Ten: Southeast Asia 10.1 Southeast Asia Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 10.2 Artificial Intelligence Plus Internet Things AIOT Key Players Southeast Asia 20192020 10.3 Southeast Asia Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 10.4 Southeast Asia Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Eleven: India 11.1 India Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 11.2 Artificial Intelligence Plus Internet Things AIOT Key Players India 20192020 11.3 India Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 11.4 India Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 Chapter Twelve: Central South America 12.1 Central South America Artificial Intelligence Plus Internet Things AIOT Market Size 20152020 12.2 Artificial Intelligence Plus Internet Things AIOT Key Players Central South America 20192020 12.3 Central South America Artificial Intelligence Plus Internet Things AIOT Market Size Type 20152020 12.4 Central South America Artificial Intelligence Plus Internet Things AIOT Market Size Application 20152020 13Key Players Profiles 13.1 AISPEECH 13.1.1 AISPEECH Company Details 13.1.2 AISPEECH Business Overview Its Total Revenue 13.1.3 AISPEECH Artificial Intelligence Plus Internet Things AIOT Introduction 13.1.4 AISPEECH Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.1.5 AISPEECH Recent Development 13.2 IBM 13.2.1 IBM Company Details 13.2.2 IBM Business Overview Its Total Revenue 13.2.3 IBM Artificial Intelligence Plus Internet Things AIOT Introduction 13.2.4 IBM Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.2.5 IBM Recent Development 13.3 Intel 13.3.1 Intel Company Details 13.3.2 Intel Business Overview Its Total Revenue 13.3.3 Intel Artificial Intelligence Plus Internet Things AIOT Introduction 13.3.4 Intel Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.3.5 Intel Recent Development 13.4 Gopher Protocol 13.4.1 Gopher Protocol Company Details 13.4.2 Gopher Protocol Business Overview Its Total Revenue 13.4.3 Gopher Protocol Artificial Intelligence Plus Internet Things AIOT Introduction 13.4.4 Gopher Protocol Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.4.5 Gopher Protocol Recent Development 13.5 Micron Technology 13.5.1 Micron Technology Company Details 13.5.2 Micron Technology Business Overview Its Total Revenue 13.5.3 Micron Technology Artificial Intelligence Plus Internet Things AIOT Introduction 13.5.4 Micron Technology Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.5.5 Micron Technology Recent Development 13.6 ShiftPixy . 13.6.1 ShiftPixy . Company Details 13.6.2 ShiftPixy . Business Overview Its Total Revenue 13.6.3 ShiftPixy . Artificial Intelligence Plus Internet Things AIOT Introduction 13.6.4 ShiftPixy . Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.6.5 ShiftPixy . Recent Development 13.7 Twilio . 13.7.1 Twilio . Company Details 13.7.2 Twilio . Business Overview Its Total Revenue 13.7.3 Twilio . Artificial Intelligence Plus Internet Things AIOT Introduction 13.7.4 Twilio . Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.7.5 Twilio . Recent Development 13.8 Deep Vision 13.8.1 Deep Vision Company Details 13.8.2 Deep Vision Business Overview Its Total Revenue 13.8.3 Deep Vision Artificial Intelligence Plus Internet Things AIOT Introduction 13.8.4 Deep Vision Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.8.5 Deep Vision Recent Development 13.9 ALCES 13.9.1 ALCES Company Details 13.9.2 ALCES Business Overview Its Total Revenue 13.9.3 ALCES Artificial Intelligence Plus Internet Things AIOT Introduction 13.9.4 ALCES Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.9.5 ALCES Recent Development 13.10 Ceva 13.10.1 Ceva Company Details 13.10.2 Ceva Business Overview Its Total Revenue 13.10.3 Ceva Artificial Intelligence Plus Internet Things AIOT Introduction 13.10.4 Ceva Revenue Artificial Intelligence Plus Internet Things AIOT Business 20152020 13.10.5 Ceva Recent Development 14Analysts ViewpointsConclusions 15Appendix 15.1 Research Methodology 15.1.1 MethodologyResearch Approach 15.1.2 Data Source 15.2 Disclaimer 15.3 Author Details Direct purchase report @ : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: 1 9723628199; 91 895 659 5155 Post navigation Diphenylamine Market Unidentified Segments The Biggest Opportunity Of 2020Trending 20202026 Manual Homecare Bed Market Thriving Worldwide Missaglia, Savion Industries, KOVAL Related posts Global News Heavy Duty HD Truck Market Is Booming Worldwide Daimler Trucks, Volvo, Paccar etc. May 2, 2020 husainHeavy Duty HD Truck Forecast, Heavy Duty HD Truck Industry Size, Heavy Duty HD Truck Industry Trends, Heavy Duty HD Truck Market Data Analysis, Heavy Duty HD Truck Market Growth, Heavy Duty HD Truck Market Overview, Heavy Duty HD Truck Market Share, Reports Monitor New Study Report Heavy Duty HD Truck Market: Global Heavy Duty HD Truck Market Report... Global PV Metallization Silver Pastes Market 2019 Worldwide Industry Analysis Top Leading Player, Key Regions, Future Demand Forecast upto 2025 May 2, 2020 davidGlobal PV Metallization Silver Pastes Market 2019, Global PV Metallization Silver Pastes Market 2020, Global PV Metallization Silver Pastes Market Analysis, Global PV Metallization Silver Pastes Market Growth Rate, Global PV Metallization Silver Pastes Market Revenue, Global PV Metallization Silver Pastes Market Scope A comprehensive research study titled Global PV Metallization Silver Pastes Market Research Report 20192025 presented here... Butene Market: Global Industry Size, Share, Growth, Trends And Forecast 2026 Evonik, Shell, ExxonMobil, Chevron Phillips Chemical, Praxair, Mitsui Chemical May 2, 2020 rahulButene Market LOS ANGELES, United States, 6 March 2020: The global Butene market comprehensively accurately detailed... Leave Comment Cancel reply Recent Posts Heavy Duty HD Truck Market Is Booming Worldwide Daimler Trucks, Volvo, Paccar etc. Global PV Metallization Silver Pastes Market 2019 Worldwide Industry Analysis Top Leading Player, Key Regions, Future Demand Forecast upto 2025 Butene Market: Global Industry Size, Share, Growth, Trends And Forecast 2026 Evonik, Shell, ExxonMobil, Chevron Phillips Chemical, Praxair, Mitsui Chemical Global Grant Management Software Market Size, Share, Regional Airlines, Top Companies, Present Scenario, Industry Outlook 2020, Demand Forecast 2026 Vestibular Testing Market Report Rising Impressive Business Opportunities Analysis Forecast By 2017 2026 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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] | 1 | 3,088 |
https://mspoweruser.com/qualcomm-announces-snapdragon-8cx-gen-2-processors-with-5g-and-improved-performance/
| 2020-09-03T00:00:00 |
en
|
Qualcomm announces Snapdragon 8cx Gen 2 processors with 5G and improved AI performance - MSPoweruser
|
Qualcomm announces Snapdragon 8cx Gen 2 processors with 5G and improved AI performance - MSPoweruser MSPUGamingWindows 10SmartphonesSurfaceEnterpriseTip usSettings Text Input: Gaming Windows 10 Smartphones Surface ReviewsSettingsTip usForum Text Input: Qualcomm announces Snapdragon 8cx Gen 2 processors with 5G and improved AI performanceby Pradeep @pradeepviswavSep 3, 2020 at 7:43 GMT5 mins agoQualcomm today announced the successor to its Snapdragon 8cx compute platform for PCs. The Qualcomm Snapdragon 8cx Gen 2 5G will deliver better performance and multi-day battery life, 5G connectivity, enterprise-grade security and AI acceleration, as well as advanced camera and audio technology.Snapdragon 8cx Gen 2 5G features:Performance and PowerThe evolution of the Snapdragon 8cx platform brings advanced power and performance to personal computer users. The Snapdragon 8cx Gen 2 5G delivers over 50% greater system-wide performance and battery life versus competing solutions**, so end users may enjoy a device that can keep up with them. Snapdragon compute platforms enable multi-day battery life in a device that is always on and always connected***. With Snapdragon 8cx Gen 2 5G, users will not have to sacrifice performance or longevity for connectivity or security.ConnectivityThe Snapdragon 8cx Gen 2 5G is the second compute platform from Qualcomm Technologies to offer 5G connectivity through both Sub-6 GHz and 5G mmWave, enabling blazing fast, multi-gigabit speed and stability for end users. Snapdragon 8cx Gen 2 5G also supports Wi-Fi 6. Devices utilizing this Gen 2 compute platform will offer users the leading connectivity critical to work from virtually anywhere and help alleviate home networks congested by multiple connected devices.Audio & CameraUsers expect quality audio and camera experiences in their premium PC, to enhance remote work and remote learning experiences. The Snapdragon 8cx Gen 2 5G compute platform supports a clear audio experience by utilizing Qualcomm Aqstic™ echo cancellation and noise suppression (ECNS) technology to intelligently focus on the sounds coming from the PC and the user’s environment.Devices powered by the Snapdragon 8cx Gen 2 5G compute platform can also utilize high-resolution camera modules. Equipped with a Qualcomm Spectra™ ISP that enables mobile camera technology, with up to 4K HDR and support for up to 32 MP camera, Snapdragon 8cx Gen 2 5G offers cutting-edge video conferencing and live streaming capabilities.Devices powered by Snapdragon 8cx Gen 2 5G also support dual 4K displays through a single Type C cable to a dock, enabling maximum flexibility and productivity.AIUtilizing the Qualcomm® AI Engine, the Snapdragon 8cx Gen 2 5G compute platform will support AI accelerated experiences on the PC and deliver breakthrough AI performance with extreme power efficiency. Users can experience stronger video conferencing interactions through tools such as accelerated eye contact and expressive avatars. The platform’s efficient AI processing also enables developers to innovate across the Windows ecosystem.SecuritySnapdragon 8cx Gen 2 5G will drive a new standard of security and manageability for enterprises, small businesses, and education. Snapdragon-powered always on, always connected PCs provide IT administrators visibility to manage on-prem functionality and security from virtually anywhere. Lastly, the Snapdragon 8cx Gen 2 5G supports Microsoft Secured Core PC and Windows Hypervisor.The Snapdragon 8cx Gen 2 5G compute platform is expected to be in commercial devices in late 2020.Full specs:Source: QualcommSome links in the article may not be viewable as you are using an AdBlocker. Please add us to your whitelist to enable the website to function properly. Related qualcommSnapdragon 8cx Gen 2 Tweet Share CommentsAdvertisement Windows 10 Microsoft releases Windows 10 Insider Preview Build 20206 for Insiders in the Dev Channel by Surur on September 2, 2020 Microsoft release PowerToys 0.22.0 with new Video Conferencing Muting toolby Surur Office for Windows 10 gets a vertical layout in a server side updateby Rahul Microsoft blocks Windows 10 version 2004 update for select PCs with LTE modemby Pradeep Netmarketshare: Both Windows 10 and Google Chrome see a slight rise in market sh...by Sean ChanAdvertisement Deals Deal Alert: HP’s Labor Day sale offers up to 60% off laptops, more HP is starting its annual Labor Day sale early, which means you do not have to wait till the 7th to get great deals on laptops, desktops, monitors, printers and more. Highlights include $240... Deal Alert: Samsung Galaxy S20 series is now selling at a discounted priceSamsung Galaxy S20+ 5G with 128GB storage smartphone is available for just $1049.99, down from its original price point of $1,199.99, while the Galaxy S20 5G is down to $849.99(was $999.99).... Deal Alert: Microsoft Surface Dock 2 is heavily discounted at AmazonLack of ports is one of the downsides of the thin and lightweight laptops and the same holds true for Microsoft’s Surface devices. Nevertheless, lack of ports in Surface devices is not... Deal Alert: Microsoft Arc Mouse is now available at a discounted priceIf you’re on the lookout for a portable, light-weight, slim mice for traveling purposes, Microsoft Arc Mouse is worth considering. The Microsoft Arc Mouse is pocket friendly and has a ... Deal Alert: Amazon is offering a handsome discount on Kindle PaperwhiteIf you prefer e-books over paperbacks or spend a significant amount of time reading e-books, Amazon’s Kindle is what you should consider buying. It’s wireless and that means you ... Deal Alert: Echo Dot (3rd Gen) price is back to its record low — again!If asking digital assistants to play music, answer questions, read stories, and tell jokes is your thing, then Amazon Echo Dot is definitely a great product and in many aspects, it’s even ... Deal Alert: Microsoft Surface Dock 2 gets a handsome discount at AmazonLack of ports is one of the downsides of the thin and lightweight laptops and the same holds true for Microsoft’s Surface devices. Nevertheless, lack of ports in Surface devices is not... Deal Alert: Surface Book 3 receives handsome discount at AmazonBack in May, Microsoft announced the new Surface Book 3, the most powerful device in the Surface lineup. While Book 3 might not be the best in terms of raw power, its uniqueness, and the fa... Samsung Galaxy Note 20 Ultra 50x zoom camera samples are startlingly goodDespite the Samsung Galaxy Note 20 Ultra being launched more than a week ago, we still have not seen comprehensive reviews of the cameras of the handset. Techradar is trying to change that b... Deal Alert: Microsoft Surface Pro 7 is heavily discounted at AmazonYou can now get a huge $300 discount on the purchase of the Core i7 Surface Pro 7. The Surface Pro 7 with i7 processor, 16GB RAM, and 256GB storage is now available at a price point of $1,...Advertisement Forums About Us Contact Us Tip Us Submit Articles Community Guidelines Privacy Policy © 2020 MSPoweruser - All rights reservedNot associated with Microsoft Top
|
Qualcomm announces Snapdragon 8cx Gen 2 processors with 5G and improved AI performance
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Qualcomm announces Snapdragon 8cx Gen 2 processors 5G improved AI performance MSPoweruser MSPUGamingWindows 10SmartphonesSurfaceEnterpriseTip usSettings Text Input: Gaming Windows 10 Smartphones Surface ReviewsSettingsTip usForum Text Input: Qualcomm announces Snapdragon 8cx Gen 2 processors 5G improved AI performanceby Pradeep 3, 2020 7:43 GMT5 mins agoQualcomm today announced successor Snapdragon 8cx compute platform PCs. The Qualcomm Snapdragon 8cx Gen 2 5G deliver better performance multiday battery life, 5G connectivity, enterprisegrade security AI acceleration, advanced camera audio technology.Snapdragon 8cx Gen 2 5G features:Performance PowerThe evolution Snapdragon 8cx platform brings advanced power performance personal users. The Snapdragon 8cx Gen 2 5G delivers 50 greater systemwide performance battery life versus competing solutions, end users enjoy device them. Snapdragon compute platforms enable multiday battery life device connected. With Snapdragon 8cx Gen 2 5G, users sacrifice performance longevity connectivity security.ConnectivityThe Snapdragon 8cx Gen 2 5G second compute platform Qualcomm Technologies offer 5G connectivity Sub6 GHz 5G mmWave, enabling blazing fast, multigigabit speed stability end users. Snapdragon 8cx Gen 2 5G supports WiFi 6. Devices utilizing Gen 2 compute platform offer users leading connectivity critical work virtually help alleviate home networks congested multiple connected devices.Audio CameraUsers expect quality audio camera experiences premium PC, enhance remote work remote learning experiences. The Snapdragon 8cx Gen 2 5G compute platform supports clear audio experience utilizing Qualcomm Aqstic echo cancellation noise suppression ECNS technology intelligently focus sounds coming PC users environment.Devices powered Snapdragon 8cx Gen 2 5G compute platform utilize highresolution camera modules. Equipped Qualcomm Spectra ISP enables mobile camera technology, 4K HDR support 32 MP camera, Snapdragon 8cx Gen 2 5G offers cuttingedge video conferencing live streaming capabilities.Devices powered Snapdragon 8cx Gen 2 5G support dual 4K displays single Type C cable dock, enabling maximum flexibility productivity.AIUtilizing Qualcomm AI Engine, Snapdragon 8cx Gen 2 5G compute platform support AI accelerated experiences PC deliver breakthrough AI performance extreme power efficiency. Users experience stronger video conferencing interactions tools accelerated eye contact expressive avatars. The platforms efficient AI processing enables developers innovate Windows ecosystem.SecuritySnapdragon 8cx Gen 2 5G drive new standard security manageability enterprises, small businesses, education. Snapdragonpowered on, connected PCs provide IT administrators visibility manage onprem functionality security virtually anywhere. Lastly, Snapdragon 8cx Gen 2 5G supports Microsoft Secured Core PC Windows Hypervisor.The Snapdragon 8cx Gen 2 5G compute platform expected commercial devices late 2020.Full specs:Source: QualcommSome links article viewable er. Please add whitelist enable website function properly. Related qualcommSnapdragon 8cx Gen 2 Tweet Share CommentsAdvertisement Windows 10 Microsoft releases Windows 10 Insider Preview Build 20206 Insiders Dev Channel bySururonSeptember 2, 2020 Microsoft release PowerToys 0.22.0 new Video Conferencing Muting toolbySurur Office Windows 10 gets vertical layout server updatebyRahul Microsoft blocks Windows 10 version 2004 update select PCs LTE modembyPradeep Netmarketshare: Both Windows 10 Google Chrome slight rise market sh...bySean ChanAdvertisement Deals Deal Alert: HPs Labor Day sale offers 60 laptops, HP starting annual Labor Day sale early, means wait till 7th great deals laptops, desktops, monitors, printers more. Highlights include 240... Deal Alert: Samsung Galaxy S20 series selling discounted priceSamsung Galaxy S20 5G 128GB storage smartphone available 1049.99, original price point 1,199.99, Galaxy S20 5G 849.99was 999.99.... Deal Alert: Microsoft Surface Dock 2 heavily discounted AmazonLack ports downsides lightweight laptops holds true Microsofts Surface devices. Nevertheless, lack ports Surface devices not... Deal Alert: Microsoft Arc Mouse available discounted priceIf youre lookout portable, lightweight, slim mice traveling purposes, Microsoft Arc Mouse worth considering. The Microsoft Arc Mouse pocket friendly ... Deal Alert: Amazon offering handsome discount Kindle PaperwhiteIf prefer ebooks paperbacks spend significant time reading ebooks, Amazons Kindle consider buying. Its wireless means ... Deal Alert: Echo Dot 3rd Gen price record low againIf asking digital assistants play music, answer questions, read stories, tell jokes thing, Amazon Echo Dot definitely great product aspects, ... Deal Alert: Microsoft Surface Dock 2 gets handsome discount AmazonLack ports downsides lightweight laptops holds true Microsofts Surface devices. Nevertheless, lack ports Surface devices not... Deal Alert: Surface Book 3 receives handsome discount AmazonBack May, Microsoftannounced new Surface Book 3, powerful device Surface lineup. While Book 3 best terms raw power, uniqueness, fa... Samsung Galaxy Note 20 Ultra 50x zoom camera samples startlingly goodDespite Samsung Galaxy Note 20 Ultra launched week ago, seen comprehensive reviews cameras handset. Techradar trying change b... Deal Alert: Microsoft Surface Pro 7 heavily discounted AmazonYou huge 300 discount purchase Core i7 Surface Pro 7. The Surface Pro 7 i7 processor, 16GB RAM, 256GB storage available price point 1,...Advertisement Forums Us Tip Us Submit Articles Community Guidelines 2020 MSPoweruser Not associated Microsoft Top
| 2,020 |
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] | 1 | 3,089 |
https://mspoweruser.com/qualcomm-snapdragon-888-plus-processor-performance/
| 2021-06-28T00:00:00 |
en
|
Qualcomm announces Snapdragon 888+ processor with improved CPU and AI performance - MSPoweruser
|
Qualcomm announces Snapdragon 888+ processor with improved CPU and AI performance - MSPoweruser MSPUGamingWindows 11Windows 10SmartphonesSurfaceEnterpriseTip usSettings Text Input: Gaming Windows 11 Windows 10 Smartphones Surface ReviewsSettingsTip usForum Text Input: Qualcomm announces Snapdragon 888+ processor with improved CPU and AI performanceby Pradeep @pradeepviswavJun 28, 2021 at 10:47 GMT1 second agoQualcomm today announced the new Snapdragon 888+, a follow-on to the flagship Snapdragon 888. Devices based on Snapdragon 888 Plus are expected to be available in the third quarter of 2021. Compared to the Snapdragon 888, the new Snapdragon 888+ offers the following improvements:Upgraded Kryo CPU with speeds up to 3.0 GHz.6th generation Qualcomm AI Engine with Qualcomm Hexagon 780 Processor. With 20% AI performance upgrade, the 32 TOPS enables the Snapdragon 888+ to run multiple neural networks simultaneously that work specifically to make your video calls and entertainment experiences more immersive.“Snapdragon is synonymous with premium Android experiences. Our latest flagship Snapdragon 888 Plus 5G Mobile Platform will help deliver the premium entertainment, connectivity, and gaming experiences users deserve,” said Christopher Patrick, senior vice president and general manager, mobile handset business, Qualcomm Technologies, Inc. “We’re excited to see OEMs launch with products based on our highest performing platform.”Source: QualcommSome links in the article may not be viewable as you are using an AdBlocker. Please add us to your whitelist to enable the website to function properly. Related qualcommSnapdragon 888 Tweet Share CommentsAdvertisement Windows 10 Microsoft admits to signing Chinese rootkit kernel driver by Surur on June 27, 2021 Microsoft: Windows 10 devices will get Windows 11 free upgrade only in 2022by Pradeep Microsoft is still delivering Windows 10 21H2 later this yearby Surur Windows 11’s new Store app will be available on Windows 10 PCs as wellby Rahul The Microsoft Store is down for some, and unlike for Apple this is not a good th...by SururAdvertisement Deals Deal Alert: Massive discount on Microsoft Surface Laptop 3 The 15-inch Microsoft Surface Laptop 3 Intel variant(8GB+256GB) is now selling at a discounted price. The laptop is now available at $1,060, down from $1,499 — a straight $439 discount! Th... Deal Alert: Surface Pro 7 is $279 cheaper todayAmazon is offering a handsome $279 discount on Microsoft Surface Pro 7(8GB/256GB) device. The Surface Pro 7 is a versatile and lightweight computer and comes with full Windows 10, meaning yo... Deal Alert: OnePlus 8 heavily discountedB&H is offering a massive $400 on the OnePlus 8 smartphone. The smartphone offers flagship-tier hardware at an affordable price, and a $400 discount has made it even more affordable. Th... Deal Alert: Unlocked Pixel 4 XL(Renewed) is $251 cheaper todayAmazon is offering a handsome discount of $251 on the unlocked Pixel 4 XL smartphone(renewed). The price of the Google Pixel smartphone is now at $327.87(was at $580) at Amazon. So if you do... Amazon Prime Day Deal: Microsoft Arc Mouse now available at a record low priceAmazon Prime Day Deal 2021 is still going on, and that means you can still cash in on some attractive deals. Microsoft Arc Mouse, for example, is now available at a price point of $51.99(was... Deal Alert: Get a massive $800 discount on Microsoft Surface DuoMicrosoft Surface Duo features an iconic super-thin design with dual screens designed for effortless multitasking and productivity. You can now get a massive discount on unlocked Surface Duo... Amazon Prime Day Deal: Unlocked Samsung Galaxy S21 series discountedUnlocked Samsung Galaxy S21 and S21 Ultra smartphones are now selling at a discounted price, thanks to the Amazon Prime Day Deal. Courtesy of the discount, the Samsung Galaxy S21 is now avai... Deal Alert: Microsoft Surface Dock 2 $84 cheaper todayAmazon is offering a $76 discount on Microsoft Surface Dock 2. After the discount, the price comes down to just $175.98(was $260). Microsoft announced the new Surface Dock 2 accessory with f... Deal Alert: Microsoft Surface Pro 6 i5 heavily discountedMicrosoft Surface Pro 6 is$456 cheaper today. The Surface Pro 6(i5 processor, 8GB RAM, 256GB storage) is now available only at a price point of $743.99, down from $1,199 — that’s rou... Deal Alert: Unlocked OnePlus 8T(12GB+256GB) down to its lowest price at AmazonAmazon is offering a mouth-watering discount of $149 on the unlocked OnePlus 8T smartphone. You can now buy the smartphone at a price point of $549.99, down from its original price point of ...Advertisement Forums About Us Contact Us Tip Us Submit Articles Community Guidelines Privacy Policy © 2021 MSPoweruser - All rights reservedNot associated with Microsoft Top
|
Qualcomm announces Snapdragon 888+ processor with improved CPU and AI performance
|
Qualcomm announces Snapdragon 888 processor improved CPU AI performance MSPoweruser MSPUGamingWindows 11Windows 10SmartphonesSurfaceEnterpriseTip usSettings Text Input: Gaming Windows 11 Windows 10 Smartphones Surface ReviewsSettingsTip usForum Text Input: Qualcomm announces Snapdragon 888 processor improved CPU AI performanceby Pradeep 28, 2021 10:47 GMT1 second agoQualcomm today announced new Snapdragon 888, followon flagship Snapdragon 888. Devices based Snapdragon 888 Plus expected available quarter 2021. Compared Snapdragon 888, new Snapdragon 888 offers following improvements:Upgraded Kryo CPU speeds 3.0 GHz.6th generation Qualcomm AI Engine Qualcomm Hexagon 780 Processor. With 20 AI performance upgrade, 32 TOPS enables Snapdragon 888 run multiple neural networks simultaneously work specifically video calls entertainment experiences immersive.Snapdragon synonymous premium Android experiences. Our latest flagship Snapdragon 888 Plus 5G Mobile Platform help deliver premium entertainment, connectivity, gaming experiences users deserve,said Christopher Patrick, senior vice president general manager, mobile handset business, Qualcomm Technologies, . Were excited OEMs launch products based highest performing platform.Source: QualcommSome links article viewable er. Please add whitelist enable website function properly. Related qualcommSnapdragon 888 Tweet Share CommentsAdvertisement Windows 10 Microsoft admits signing Chinese rootkit kernel driver bySururonJune 27, 2021 Microsoft: Windows 10 devices Windows 11 free upgrade 2022byPradeep Microsoft delivering Windows 10 21H2 later yearbySurur Windows 11s new Store app available Windows 10 PCs wellbyRahul The Microsoft Store some, unlike Apple good th...bySururAdvertisement Deals Deal Alert: Massive discount Microsoft Surface Laptop 3 The 15inch Microsoft Surface Laptop 3 Intel variant8GB256GB selling discounted price. The laptop available 1,060, 1,499 straight 439 discount Th... Deal Alert: Surface Pro 7 279 cheaper todayAmazon offering handsome 279 discount Microsoft Surface Pro 78GB256GB device. The Surface Pro 7 versatile lightweight comes Windows 10, meaning yo... Deal Alert: OnePlus 8 heavily discountedBH offering massive 400 OnePlus 8 smartphone. The smartphoneoffers flagshiptier hardware affordable price, 400 discount affordable. Th... Deal Alert: Unlocked Pixel 4 XLRenewed 251 cheaper todayAmazon offering handsome discount 251 unlocked Pixel 4 XL smartphonerenewed. The price Google Pixel smartphone 327.87was 580 Amazon. So do... Amazon Prime Day Deal: Microsoft Arc Mouse available record low priceAmazon Prime Day Deal 2021 going on, means cash attractive deals. Microsoft Arc Mouse, example, available price point 51.99was... Deal Alert: Get massive 800 discount Microsoft Surface DuoMicrosoft Surface Duo features iconic superthin design dual screens designed effortless multitasking productivity. You massive discount unlocked Surface Duo... Amazon Prime Day Deal: Unlocked Samsung Galaxy S21 series discountedUnlocked Samsung Galaxy S21 S21 Ultra smartphones selling discounted price, thanks Amazon Prime Day Deal. Courtesy discount, Samsung Galaxy S21 avai... Deal Alert: Microsoft Surface Dock 2 84 cheaper todayAmazon offering 76 discount Microsoft Surface Dock 2. After discount, price comes 175.98was 260. Microsoft announced new Surface Dock 2 accessory f... Deal Alert: Microsoft Surface Pro 6 i5 heavily discountedMicrosoft Surface Pro 6 is456 cheaper today. The Surface Pro 6i5 processor, 8GB RAM, 256GB storage available price point 743.99, 1,199 thats rou... Deal Alert: Unlocked OnePlus 8T12GB256GB lowest price AmazonAmazon offering mouthwatering discount 149 unlocked OnePlus 8T smartphone. You buy smartphone price point 549.99, original price point ...Advertisement Forums Us Tip Us Submit Articles Community Guidelines 2021 MSPoweruser Not associated Microsoft Top
| 2,021 |
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https://murphyshockeylaw.net/uncategorized/1548750/time-and-expense-tracking-software-market-2020-know-the-latest-covid19-impact-analysis-and-strategies-of-key-players-replicon-timebill-timelive-bqe-core-bigtime-timesolv-legal-unanet-netsuite/
| 2021-01-27T00:00:00 |
en
|
Time And Expense Tracking Software Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: Replicon TimeBill, TimeLive, BQE Core, BigTime, TimeSolv Legal, Unanet, NetSuite OpenAir, FINSYNC, OfficeTools, CrossConcept Continuum, Clearview InFocus, Sage Intacct, Deskera ERP, Beyond Software, Deltek Vision, Mavenlink, FinancialForce, NetSuite Services Resource Planning, Nexonia Expense Reports, Journyx, Spiceworks, Lansweeper, Asset Panda, WinAudit, etc. | InForGrowth – Murphy's Hockey Law
|
Time And Expense Tracking Software Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: Replicon TimeBill, TimeLive, BQE Core, BigTime, TimeSolv Legal, Unanet, NetSuite OpenAir, FINSYNC, OfficeTools, CrossConcept Continuum, Clearview InFocus, Sage Intacct, Deskera ERP, Beyond Software, Deltek Vision, Mavenlink, FinancialForce, NetSuite Services Resource Planning, Nexonia Expense Reports, Journyx, Spiceworks, Lansweeper, Asset Panda, WinAudit, etc. | InForGrowth – Murphy's Hockey Law
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Time And Expense Tracking Software Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: Replicon TimeBill, TimeLive, BQE Core, BigTime, TimeSolv Legal, Unanet, NetSuite OpenAir, FINSYNC, OfficeTools, CrossConcept Continuum, Clearview InFocus, Sage Intacct, Deskera ERP, Beyond Software, Deltek Vision, Mavenlink, FinancialForce, NetSuite Services Resource Planning, Nexonia Expense Reports, Journyx, Spiceworks, Lansweeper, Asset Panda, WinAudit, etc. | InForGrowth
Post author
By basavraj.t
Post date
January 27, 2021
Time And Expense Tracking Software Market research report provides various levels of analysis such as industry analysis (industry trends), market share analysis of top players, and company profiles, which together provide an overall view on the competitive landscape; emerging and high-growth segments of the Time And Expense Tracking Software market; high-growth regions; and market drivers, restraints, challenges, and opportunities.
The Time And Expense Tracking Software market report elaborates insights on the Market Diversification (Exhaustive information about new products, untapped regions, and recent developments), Competitive Assessment (In-depth assessment of market shares, strategies, products, and manufacturing capabilities of leading players in the Time And Expense Tracking Software market).
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Market segmentation based on the Key Players, Types & Applications.
Time And Expense Tracking Software Market on the basis of Product Type:
Cloud Based
On Premise
Time And Expense Tracking Software Market on the basis of Applications:
Large Enterprises
SMEs
Top Key Players in Time And Expense Tracking Software market:
Replicon TimeBill
TimeLive
BQE Core
BigTime
TimeSolv Legal
Unanet
NetSuite OpenAir
FINSYNC
OfficeTools
CrossConcept Continuum
Clearview InFocus
Sage Intacct
Deskera ERP
Beyond Software
Deltek Vision
Mavenlink
FinancialForce
NetSuite Services Resource Planning
Nexonia Expense Reports
Journyx
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This report brings together multiple data sources to provide a comprehensive overview of Time And Expense Tracking Software.
It includes analysis on the following –
Market Environment: Includes sector size, market size, and growth analysis by segmentation.
High-potential Countries’ Analysis: Indicates changing share of value consumption in the various segments & sub-segments across high-potential countries globally. The report also provides analysis of market assessment, economic development, socio-demographic, governance indicators, and technological infrastructure.
Country Deep Dive: Provides the overview, demographic analysis, and key trends across high potential countries.
Competitive Environment: Provides an overview of leading key players, besides analyzing the growth of private labels in the region.
Distribution Analysis: Provides analysis of the leading distribution channels.
Challenges and Future Outlook: Provides the challenges and future outlook pertaining to Time And Expense Tracking Software
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Industrial Analysis of Time And Expense Tracking Software Market:
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Manufacturing and retailers seek the latest information on how the market is evolving to formulate their sales and marketing strategies. There is also a demand for authentic market data with a high level of detail. This Time And Expense Tracking Software market report has been created to provide its readers with up-to-date information and analysis to uncover emerging opportunities for growth within the sector in the region.
The Time And Expense Tracking Software market report provides a detailed analysis of the countries in the region, covering the key challenges, competitive landscape, and demographic analysis, that can help companies gain insight into the country-specific nuances.
The analysts have also placed a significant emphasis on the key trends that drive consumer choice and the future opportunities that can be explored in the region than can help companies in revenue expansion.
To gain competitive intelligence about leading companies in the sector in the region with information about their market share and growth rates
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Time And Expense Tracking Software Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Replicon TimeBill, TimeLive, BQE Core, BigTime, TimeSolv Legal, Unanet, NetSuite OpenAir, FINSYNC, OfficeTools, CrossConcept Continuum, Clearview InFocus, Sage Intacct, Deskera ERP, Beyond Software, Deltek Vision, Mavenlink, FinancialForce, NetSuite Services Resource Planning, Nexonia Expense Reports, Journyx, Spiceworks, Lansweeper, Asset Panda, WinAudit, etc. InForGrowth Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News Time And Expense Tracking Software Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Replicon TimeBill, TimeLive, BQE Core, BigTime, TimeSolv Legal, Unanet, NetSuite OpenAir, FINSYNC, OfficeTools, CrossConcept Continuum, Clearview InFocus, Sage Intacct, Deskera ERP, Beyond Software, Deltek Vision, Mavenlink, FinancialForce, NetSuite Services Resource Planning, Nexonia Expense Reports, Journyx, Spiceworks, Lansweeper, Asset Panda, WinAudit, etc. InForGrowth Post author By basavraj.t Post date January 27, 2021 Time And Expense Tracking SoftwareMarket research report provides levels analysis industry analysis industry trends, market share analysis players, company profiles, provide overall view competitive landscape; emerging highgrowth segments Time And Expense Tracking Softwaremarket; highgrowth regions; market drivers, restraints, challenges, opportunities. The Time And Expense Tracking Softwaremarket report elaborates insights Market Diversification Exhaustive information new products, untapped regions, recent developments, Competitive Assessment Indepth assessment market shares, strategies, products, manufacturing capabilities leading players Time And Expense Tracking Softwaremarket. Premium Insights Time And Expense Tracking Software Market 2020 Market Players PositioningGet Exclusive Free Sample PDF Copy: Market segmentation based Key Players, Types Applications. Time And Expense Tracking SoftwareMarket basis Product Type: Cloud Based On Premise Time And Expense Tracking SoftwareMarket basis Applications: Large Enterprises SMEs Top Key Players Time And Expense Tracking Softwaremarket: Replicon TimeBill TimeLive BQE Core BigTime TimeSolv Legal Unanet NetSuite OpenAir FINSYNC OfficeTools CrossConcept Continuum Clearview InFocus Sage Intacct Deskera ERP Beyond Software Deltek Vision Mavenlink FinancialForce NetSuite Services Resource Planning Nexonia Expense Reports Journyx Get Chance 20 Extra Discount, If Company Listed Above Key Players List; This report brings multiple data sources provide comprehensive overview Time And Expense Tracking Software. It includes analysis following Market Environment:ludes sector size, market size, growth analysis segmentation. Highpotential Countries Analysis:Indicates changing share value consumption segments subsegments highpotential countries globally. The report provides analysis market assessment, economic development, sociodemographic, governance indicators, technological infrastructure. Country Deep Dive:Provides overview, demographic analysis, key trends high potential countries. Competitive Environment: Provides overview leading key players, analyzing growth private labels region. Distribution Analysis:Provides analysis leading distribution channels. Challenges Future Outlook: Provides challenges future outlook pertaining Time And Expense Tracking Software Buy Now Report Get Free COVID19 Impact Analysis Industrial Analysis Time And Expense Tracking Software Market: Reasons Buy Time And Expense Tracking Softwaremarket Report: Manufacturing retailers seek latest information market evolving formulate sales marketing strategies. There demand authentic market data high level detail. This Time And Expense Tracking Softwaremarket report created provide readers uptodate information analysis uncover emerging opportunities growth sector region. The Time And Expense Tracking Softwaremarket report provides detailed analysis countries region, covering key challenges, competitive landscape, demographic analysis, help companies gain insight countryspecific nuances. The analysts placed significant emphasis key trends drive consumer choice future opportunities explored region help companies revenue expansion. To gain competitive intelligence leading companies sector region information market share growth rates 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: 19093292808UK: 44 203 743 1898 Tags Time And Expense Tracking Software, Time And Expense Tracking Software Industry, Time And Expense Tracking Software Market Safety Audit Software Market 2020: Potential growth, attractive valuation longterm investment Know COVID19 Impact Top Players: Resolver, Gensuite, Wolters KluwerTeamMate, Plan Brothers, Optial, Perillon Software, ProcessGene, Oversight Systems, MasterControl, ComplianceBridge, Tronixss, Reflexis Systems, SAI Global, Isolocity, Insight Lean Solutions, AuditFile, VERACODE, Sqreen, PROMAN, ARXAN, etc. InForGrowth Automotive Spoiler Sunroof Market 2020 Report Forecasts Impact COVID19 Pandemic Business future opportunity for: Recent Posts Driving Training Simulators Market: Classification, Opportunities, Types, Applications, Status Forecast 2025 Retail Execution Software Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Repsly, Pitcher, Pepperi, Vincle, AFS Technologies, StayinFront, XTEL, Yoobic, Kanta Enterprises Private Limited, Henry Lamotte Oils GmbH, Viobin, Henan Kun Hua Technology, etc. InForGrowth Well Testing Services Market 2020: Potential growth, attractive valuation longterm investment Know COVID19 Impact Top Players: SchlumbergerUS, Weatherford InternationalUS, HalliburtonUS, Rockwater Energy SolutionsUS, Tetra TechnologiesUS, FMC TechnologiesUS, Helix Energy Solutions GroupUS, Greenes Energy GroupUS, Mineral TechnologiesAustralia, AGR GroupNorway, Expro GroupUK, MB Petroleum ServicesOman, AllState Well Testing ServiceUS, Jaguar EnergyUS, StriclanUS, PTS TechnologiesUS, SGSSwitzerland, Oil StatesUS, Carlisle, Atarfil, Seaman, Dupont, etc. InForGrowth Latest News 2020: School Administration Software Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Rediker Software, ThinkWave, PowerVista RollCall, Fedena, RenWeb, ParentLocker, FreshSchools, Gradelink, TS School, Gibbon, School Time, EduAdmin, Skool Master, Student Track, ClassMaster, MySchool, EazySchool, Ascend SMS, SchoolTool, eduWare Software, PraxiSchool, Bodycote, Wallwork Heat Treatment, Pilkington Metal Finishing, Bluewater Thermal Solutions, etc. InForGrowth Global Credit Insurance Market 2020 Analysis Latest COVID19CORONA Virus Impact Market Positioning Key Vendors: Sinosure, Euler Hermes, Atradius, Coface, Zurich, Credendo Group, QBE Insurance, Cesce, Taura Natural Ingredients Ltd., AAK AB, Tate lyle, Corbion, etc. InForGrowth 2021 Murphys Hockey Law Powered WordPress To Up
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| 2021-08-11T00:00:00 |
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Global AI Image Recognition Market 2021 : Booming Worldwide | Size , share, Business Opportunities,Demand, Future Scope Forecast 2027 – Murphy's Hockey Law
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Global AI Image Recognition Market 2021 : Booming Worldwide | Size , share, Business Opportunities,Demand, Future Scope Forecast 2027 – Murphy's Hockey Law
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Global AI Image Recognition Market 2021 : Booming Worldwide | Size , share, Business Opportunities,Demand, Future Scope Forecast 2027
Post author
By alex
Post date
August 11, 2021
Reportspedia.Com added a report on ‘Global AI Image Recognition Market, 2021-2027′ to its data warehouse of market research collaterals consisting of overall market scenario with predominant and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, recent trends, mergers and acquisitions, region-wise growth analysis along with challenges that are upsetting the progress of the market are also specified in the report.
Get Sample PDF (Including Full TOC, Table & Figures) Click Here: https://www.reportspedia.com/report/technology-and-media/2015-2027-global-ai-image-recognition-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/64948#request_sample
Key Players:
Amazon Web Services (AWS), Inc.
Google LLC
Intel Corporation
NVIDIA Corporation
Xilinx, Inc.
IBM Corporation
Microsoft Corporation
Qualcomm Corporation
Micron Technology Inc.
Samsung Electronics
Clarifai Inc.
The AI Image Recognition Market research provides vital insights to the readers:
Collaborations, R&D projects, acquisitions, and product launches of each AI Image Recognition Market player
Impacts of the growth of relevant industries on the AI Image Recognition Market
Drivers, restraints, opportunities and trends affecting the growth of the global AI Image Recognition Market
Study of supply-demand ratio in each end use sector
Adoption trend and consumption behavior across several industries and consumers respectively
The AI Image Recognition Market research gets rid of the following queries:
Which country in region currently holds the largest share?
What techniques are the vendors implementing to overcome the challenges associated with the AI Image Recognition Market?
What is the present and future prospect of the AI Image Recognition Market by product?
What are the effects of the AI Image Recognition on human health and environment?
How many units of AI Image Recognition have been sold during the historic period 2021-2027?
The AI Image Recognition Market Segmentation:
The AI Image Recognition Market Segmentation By Types:
Hardware
Software
Services
The AI Image Recognition Market Segmentation By Applications:
Automotive
Healthcare
BFSI
Retail
Other
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The AI Image Recognition Market research is a result of a comprehensive primary and secondary research performed by the analysts to extract the nuts and bolts of the AI Image Recognition Market. Numerous service providers, implementation vendors and research in different divisions of all gamuts of companies were approached to provide a clear-cut picture of the market structure. Further, DROT analysis and Porter’s Five Forces analysis are used to offer the factors influencing the growth of the AI Image Recognition Market.
Get Full Report Access at The report covers exhaustive analysis on:
AI Image Recognition Market Segments
AI Image Recognition Market Dynamics
AI Image Recognition Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies involved
Value Chain
Regional analysis includes:
North America (U.S., Canada)
Latin America (Mexico, Brazil)
Europe (Germany, Italy, France, U.K, Spain, Poland, Russia)
South Asia (India, ASEAN, Rest of South Asia)
East Asia (China , Japan, South Korea)
Middle East and Africa (GCC Countries, South Africa, Northern Africa, Rest of MEA)
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Look into Table of Content of AI Image Recognition Market Report at : https://www.reportspedia.com/report/technology-and-media/2015-2027-global-ai-image-recognition-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/64948#table_of_contents
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Global AI Image Recognition Market 2021 : Booming Worldwide Size , share, Business Opportunities,Demand, Future Scope Forecast 2027 Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News Global AI Image Recognition Market 2021 : Booming Worldwide Size , share, Business Opportunities,Demand, Future Scope Forecast 2027 Post author By alex Post date August 11, 2021 Reportspedia.Com added report onGlobalAI Image Recognition Market, 20212027to data warehouse market research collaterals consisting overall market scenario predominant future growth prospects, growth strategies key players stay ahead game. Additionally, recent trends, mergers acquisitions, regionwise growth analysis challenges upsetting progress market specified report. Get Sample PDF luding Full TOC, Table Figures Click Here: Key Players: Amazon Web Services AWS, . Google LLC Intel Corporation NVIDIA Corporation Xilinx, . IBM Corporation Microsoft Corporation Qualcomm Corporation Micron Technology . Samsung Electronics Clarifai . The AI Image Recognition Market research provides vital insights readers: Collaborations, RD projects, acquisitions, product launches AI Image Recognition Market player Impacts growth relevant industries AI Image Recognition Market Drivers, restraints, opportunities trends affecting growth global AI Image Recognition Market Study supplydemand ratio end use sector Adoption trend consumption behavior industries consumers respectively The AI Image Recognition Market research gets rid following queries: Which country region currently holds largest share? What techniques vendors implementing overcome challenges associated AI Image Recognition Market? What present future prospect AI Image Recognition Market product? What effects AI Image Recognition human health environment? How units AI Image Recognition sold historic period 20212027? The AI Image Recognition Market Segmentation: The AI Image Recognition Market Segmentation By Types: Hardware Software Services The AI Image Recognition Market Segmentation By Applications: Automotive Healthcare BFSI Retail Other Need Customized report Ask here: The AI Image Recognition Market research result comprehensive primary secondary research performed analysts extract nuts bolts AI Image Recognition Market. Numerous service providers, implementation vendors research different divisions gamuts companies approached provide clearcut picture market structure. Further, DROT analysis Porters Five Forces analysis offer factors influencing growth AI Image Recognition Market. Get Full Report Access atThe report covers exhaustive analysis on: AI Image Recognition Market Segments AI Image Recognition Market Dynamics AI Image Recognition Market Size Supply Demand Current TrendsIssuesChallenges Competition Companies involved Value Chain Regional analysis includes: North America U.S., Canada Latin America Mexico, Brazil Europe Germany, Italy, France, U.K, Spain, Poland, Russia South Asia India, ASEAN, Rest South Asia East Asia China , Japan, South Korea Middle East Africa GCC Countries, South Africa, Northern Africa, Rest MEA Benefits Purchasing Report: Swift efficient customer support Insightful reports curated advanced research tools Team experienced highly trained research associates analysts Granular analysis markets 150 countries Well defined uptodate market research methodology provide impactful insights Reasons Purchase Reportspedia.Com? 247 customer service provided experienced consultants One recognized market research players inthe World A methodical process adopted create insightful market reports Data gathered trusted credible primary secondary sources Seamless delivery tailormade reports available different formats Look Table Content AI Image Recognition Market Report : Tags AI Image Recognition CAGR, AI Image Recognition Industry, AI Image Recognition Industry Analysis, AI Image Recognition Industry Market, AI Image Recognition Industry Size, AI Image Recognition Market, AI Image Recognition Market 2021, AI Image Recognition Market analysis, AI Image Recognition Market business research, AI Image Recognition Market Competitive landscape, AI Image Recognition Market competitor analysis, AI Image Recognition Market consumer research, AI Image Recognition Market country reports, AI Image Recognition Market Dynamics, AI Image Recognition Market forecast, AI Image Recognition market growth, AI Image Recognition Market insights, AI Image Recognition Market Key players, AI Image Recognition Market Latest Reports 2021, AI Image Recognition Market Overview, AI Image Recognition Market research company, AI Image Recognition Market research reports, AI Image Recognition Market Revenue, AI Image Recognition Market Segmentation Scope, AI Image Recognition Market share, AI Image Recognition Market size, AI Image Recognition Market Status, AI Image Recognition Market survey, AI Image Recognition Market trends, AI Image Recognition Market Type Application, Comprehensive AI Image Recognition Market Report, COVID 19 impact AI Image Recognition market, Market Research, Reportspedia, Global Comforter Sets Market 2021 Size, Share, Trends Top Key Players By Forecast 2027 Global Ebook Device Market 2021 : Covid19 Impact,Industry Trends, Global Demand, Future Scope By Forecast 2027 for: Recent Posts Global Industrial Joysticks Market 2021 Regional Analysis Major Manufacturers APEM, Bosch Rexroth, CurtissWright, General Electric Global Industrial GasesGlass Market 2021 Growing Demand Growth Analysis 2026 Top Players Linde Group, Air Liquide, Praxair Veterinary Telemetry Systems Market Segmentation, Size, Covid19 Impact, Healthcare Sector, Analysis, Insights, Share, Developments, Forecast 2026 Travel Pouches Market Business Overview, Challenges, Opportunities 2027 Trend brand Market Growth Outlook, Opportunities Forecast Assessment, 2021 2027 2021 Murphys Hockey Law Powered WordPress To Up
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] | 1 | 3,092 |
https://murphyshockeylaw.net/uncategorized/4370191/artificial-intelligence-ai-in-drug-discovery-market-global-analysis-2021-2028-ibm-corporation-microsoft-atomwise-inc-deep-genomics-cloud-pharmaceuticals/
| 2021-09-27T00:00:00 |
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Artificial Intelligence (AI) In Drug Discovery Market Global Analysis 2021-2028: IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals – Murphy's Hockey Law
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Artificial Intelligence (AI) In Drug Discovery Market Global Analysis 2021-2028: IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals – Murphy's Hockey Law
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Artificial Intelligence (AI) In Drug Discovery Market Global Analysis 2021-2028: IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals
Post author
By anita_adroit
Post date
September 27, 2021
Introduction: Artificial Intelligence (AI) In Drug Discovery Market
The Artificial Intelligence (AI) In Drug Discovery industry study focuses on providing detailed knowledge of all the industry allied dynamics. The report analyzes each and every aspect of the Artificial Intelligence (AI) In Drug Discovery market thoroughly. The research includes inclusive data over all the vital financial topics related to the market along with the genuine market statistics. The industry research discusses the valuation status of the Artificial Intelligence (AI) In Drug Discovery market in detail. The pattern of growth seen in the industry performance over time is studied in depth in the industry analysis. The study included in the analysis report helps market entities to get a thorough knowledge of all the vital changes in the industry dynamics. All the factors that are propelling or restricting the industry growth are analyzed comprehensively in the research report.
Competitor Profiling: Artificial Intelligence (AI) In Drug Discovery Market
IBM Corporation; Microsoft; Atomwise Inc.; Deep Genomics; Cloud Pharmaceuticals
We Have Recent Updates of Artificial Intelligence (AI) In Drug Discovery Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/5846211?utm_source=PoojaA2
The Artificial Intelligence (AI) In Drug Discovery market study report analyzes all the deliberate movements and premeditated developments in the market across the globe. The market study also provides readers with comprehensive data over all the vital market events being held across the globe. In addition, the study also provides thorough discussion on all the major market investments. The industry study report provides in-depth discussion on all the development opportunities and market threats being faced in the Artificial Intelligence (AI) In Drug Discovery industry. The study offers users with smart and innovative solutions to conquer the industry challenges. The technological innovations in the Artificial Intelligence (AI) In Drug Discovery industry have played a crucial part in the overall development of the industry. The Artificial Intelligence (AI) In Drug Discovery industry study analyzes all the technological innovations in the industry in detail. The research chiefly focuses on the enlargement of the industry in forecasted period.
Unraveling Segmentation and Scope of the Artificial Intelligence (AI) In Drug Discovery Market
Analysis by Type:
1) By Technology: Deep Learning; Machine Learning 2)By Drug Type: Small Molecule; Large Molecules 3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Others 4)
Analysis by Application:
Pharmaceutical Companies; Biopharmaceutical Companies; Academic and Research Institutes; Others
Browse Full Report with Facts and Figures of Artificial Intelligence (AI) In Drug Discovery Market Report at @ https://www.orbisresearch.com/reports/index/artificial-intelligence-ai-in-drug-discovery-market-global-analysis-2021-2028-insights-on-leading-players-type-applications-regions-and-future-opportunities?utm_source=PoojaA2
The Artificial Intelligence (AI) In Drug Discovery industry report includes detailed discussion on all the vital parameters of the market. The industry study includes the comprehensive analysis of all the famous market trends and techniques implemented by the market bodies. These trends play a crucial role in keeping up with the powerful competition in the Artificial Intelligence (AI) In Drug Discovery industry. The industry study report includes the data related to demands of the Artificial Intelligence (AI) In Drug Discovery market at various times. The in depth study of the future scope of the Artificial Intelligence (AI) In Drug Discovery market is included in the market study report. The market study report analyzes all the development policies and plans implemented by the entities in the Artificial Intelligence (AI) In Drug Discovery industry in order to expand business boundaries. The industry research offers users with detailed depiction of market statistics with the help of numerous graphs, charts and tables.
Regional Coverage of Artificial Intelligence (AI) In Drug Discovery 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 Artificial Intelligence (AI) In Drug Discovery Revenue
1.4 Market Analysis by Type
1.4.1 Artificial Intelligence (AI) In Drug Discovery Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 Artificial Intelligence (AI) In Drug Discovery Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Growth Trends by Regions
2.1 Artificial Intelligence (AI) In Drug Discovery Market Perspective (2015-2028)
2.2 Artificial Intelligence (AI) In Drug Discovery Growth Trends by Regions
2.2.1 Artificial Intelligence (AI) In Drug Discovery Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 Artificial Intelligence (AI) In Drug Discovery Historic Market Share by Regions (2015-2020)
2.2.3 Artificial Intelligence (AI) In Drug Discovery Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Artificial Intelligence (AI) In Drug Discovery Market Growth Strategy
2.3.6 Primary Interviews with Key Artificial Intelligence (AI) In Drug Discovery Players (Opinion Leaders)
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/5846211?utm_source=PoojaA2
Chapter Three: Competition Landscape by Key Players
3.1 Top Artificial Intelligence (AI) In Drug Discovery Players by Market Size
3.1.1 Top Artificial Intelligence (AI) In Drug Discovery Players by Revenue (2015-2020)
3.1.2 Artificial Intelligence (AI) In Drug Discovery Revenue Market Share by Players (2015-2020)
3.1.3 Artificial Intelligence (AI) In Drug Discovery Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Artificial Intelligence (AI) In Drug Discovery Market Concentration Ratio
3.2.1 Artificial Intelligence (AI) In Drug Discovery Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Top Chapter Ten: and Top 5 Companies by Artificial Intelligence (AI) In Drug Discovery Revenue in 2020
3.3 Artificial Intelligence (AI) In Drug Discovery Key Players Head office and Area Served
3.4 Key Players Artificial Intelligence (AI) In Drug Discovery Product Solution and Service
3.5 Date of Enter into Artificial Intelligence (AI) In Drug Discovery Market
3.6 Mergers & Acquisitions, Expansion Plans
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Artificial Intelligence (AI) In Drug Discovery Market Global Analysis 2021-2028: IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals
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Artificial Intelligence AI In Drug Discovery Market Global Analysis 20212028: IBM Corporation, Microsoft, Atomwise ., Deep Genomics, Cloud Pharmaceuticals Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News Artificial Intelligence AI In Drug Discovery Market Global Analysis 20212028: IBM Corporation, Microsoft, Atomwise ., Deep Genomics, Cloud Pharmaceuticals Post author By anita_adroit Post date September 27, 2021 Introduction: Artificial Intelligence AI In Drug Discovery Market The Artificial Intelligence AI In Drug Discovery industry study focuses providing detailed knowledge industry allied dynamics. The report analyzes aspect Artificial Intelligence AI In Drug Discovery market thoroughly. The research includes inclusive data vital financial topics related market genuine market statistics. The industry research discusses valuation status Artificial Intelligence AI In Drug Discovery market detail. The pattern growth seen industry performance time studied depth industry analysis. The study included analysis report helps market entities thorough knowledge vital changes industry dynamics. All factors propelling restricting industry growth analyzed comprehensively research report. Competitor Profiling: Artificial Intelligence AI In Drug Discovery Market IBM Corporation; Microsoft; Atomwise .; Deep Genomics; Cloud Pharmaceuticals We Have Recent Updates Artificial Intelligence AI In Drug Discovery Market Sample [emailprotected] The Artificial Intelligence AI In Drug Discovery market study report analyzes deliberate movements premeditated developments market globe. The market study provides readers comprehensive data vital market events held globe. In addition, study provides thorough discussion major market investments. The industry study report provides indepth discussion development opportunities market threats faced Artificial Intelligence AI In Drug Discovery industry. The study offers users smart innovative solutions conquer industry challenges. The technological innovations Artificial Intelligence AI In Drug Discovery industry played crucial overall development industry. The Artificial Intelligence AI In Drug Discovery industry study analyzes technological innovations industry detail. The research chiefly focuses enlargement industry forecasted period. Unraveling Segmentation Scope Artificial Intelligence AI In Drug Discovery Market Analysis Type: 1 By Technology: Deep Learning; Machine Learning 2By Drug Type: Small Molecule; Large Molecules 3 By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Others 4 Analysis Application: Pharmaceutical Companies; Biopharmaceutical Companies; Academic Research Institutes; Others Browse Full Report Facts Figures Artificial Intelligence AI In Drug Discovery Market Report @ The Artificial Intelligence AI In Drug Discovery industry report includes detailed discussion vital parameters market. The industry study includes comprehensive analysis famous market trends techniques implemented market bodies. These trends play crucial role keeping powerful competition Artificial Intelligence AI In Drug Discovery industry. The industry study report includes data related demands Artificial Intelligence AI In Drug Discovery market times. The depth study future scope Artificial Intelligence AI In Drug Discovery market included market study report. The market study report analyzes development policies plans implemented entities Artificial Intelligence AI In Drug Discovery industry order expand business boundaries. The industry research offers users detailed depiction market statistics help numerous graphs, charts tables. Regional Coverage Artificial Intelligence AI In Drug Discovery 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 Artificial Intelligence AI In Drug Discovery Revenue 1.4 Market Analysis Type 1.4.1 Artificial Intelligence AI In Drug Discovery Market Size Growth Rate Type: 2020 VS 2028 1.5 Market Application 1.5.1 Artificial Intelligence AI In Drug Discovery Market Share Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered Chapter Two: Growth Trends Regions 2.1 Artificial Intelligence AI In Drug Discovery Market Perspective 20152028 2.2 Artificial Intelligence AI In Drug Discovery Growth Trends Regions 2.2.1 Artificial Intelligence AI In Drug Discovery Market Size Regions: 2015 VS 2020 VS 2028 2.2.2 Artificial Intelligence AI In Drug Discovery Historic Market Share Regions 20152020 2.2.3 Artificial Intelligence AI In Drug Discovery Forecasted Market Size Regions 20212028 2.3 Industry Trends Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porters Five Forces Analysis 2.3.5 Artificial Intelligence AI In Drug Discovery Market Growth Strategy 2.3.6 Primary Interviews Key Artificial Intelligence AI In Drug Discovery Players Opinion Leaders Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Chapter Three: Competition Landscape Key Players 3.1 Top Artificial Intelligence AI In Drug Discovery Players Market Size 3.1.1 Top Artificial Intelligence AI In Drug Discovery Players Revenue 20152020 3.1.2 Artificial Intelligence AI In Drug Discovery Revenue Market Share Players 20152020 3.1.3 Artificial Intelligence AI In Drug Discovery Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 Artificial Intelligence AI In Drug Discovery Market Concentration Ratio 3.2.1 Artificial Intelligence AI In Drug Discovery Market Concentration Ratio CRChapter Five: HHI 3.2.2 Top Chapter Ten: Top 5 Companies Artificial Intelligence AI In Drug Discovery Revenue 2020 3.3 Artificial Intelligence AI In Drug Discovery Key Players Head office Area Served 3.4 Key Players Artificial Intelligence AI In Drug Discovery Product Solution Service 3.5 Date Enter Artificial Intelligence AI In Drug Discovery Market 3.6 Mergers Acquisitions, Expansion Plans : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. 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ChatGPT creator could make its own chips
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ChatGPT creator could make its own chips Myles Illidge9 October 2023
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ChatGPT might be powered by OpenAI’s own processors in the future, with the company considering manufacturing artificial intelligence (AI) chips, Reuters reports.
Citing sources familiar with the company’s plans, the report stated that the company has gone so far as to evaluate a possible acquisition target.
Sam Altman, CEO of OpenAI, has previously complained of GPU shortages being to blame for concerns over the ChatGPT API’s speed and reliability.
In addition to confronting the GPU shortage, OpenAI producing its own chips could help make the platform’s running costs more manageable.
Analysis from Bernstein Research revealed that each ChatGPT query costs OpenAI approximately four US cents, and with millions of queries a day, the costs stack up rapidly.
While the company reached 100 million monthly users in its first two months, ChatGPT lost some of its user base for the first time in July 2023.
According to Bernstein Research’s analysis, if ChatGPT queries reach a tenth of the queries Google gets, it would initially need $48.1 billion (R929 billion) worth of GPUs and spend $16 billion (R309 billion) a year on chips in the future.
Currently, Nvidia dominates the market for chips made for AI applications, and as a result, some other companies have chosen to start making their own.
For example, Microsoft has been working on making an AI chip of its own since 2019, according to The Information.
Now read: WhatsApp adding secret code feature
AI chips ChatGPT Graphics processing unit (GPU) Microsoft Nvidia OpenAI
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ChatGPT creator could make its own chips
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ChatGPT creator chips Skip content MyBroadband Whats Next News Press office Features Investing Forum Industry news Company Hub Speed test 5G ADSL Banking Broadband Broadcasting Business Business Telecoms Cellular Cloud Hosting Columns Cryptocurrency Energy Enterprise Fibre Gadgets Gaming Government Hardware Industry News Internet Internet Things IT Services Investing Motoring Reviews Science Security Smartphones Software Technology Telecoms Trending Wireless Adumo BBD BUI Comsol CRS Datafree Domains Dynamic Technologies Evotel IoT.nxt Karo Master Data Management MiRO MiX Telematics MyBroadband Next DLP Paratus Africa Sabinet Schneider Electric Solid Systems Synology TECNO ZTE Acumatica Atomic Access Axiz Micro Focus Code College Huawei 360 iStore JG Electronics Liquid Intelligent Technologies Mattress Warehouse One Energy Open Access Data Centres Stone Hut Teljoy Home Categories Telecoms Broadband ADSL Wireless Cellular Hardware Industry News Investing Software Gadgets Internet More 5G Banking Broadcasting Business Business Telecoms Cloud Hosting Columns Cryptocurrency Energy Enterprise Fibre Gaming Government Internet Things IT Services Motoring Reviews Science Security Smartphones Technology Trending Press Office Features Investing Forum Industry News Company Hub Axiz Micro Focus Code College Huawei 360 iStore JG Electronics Liquid Intelligent Technologies Mattress Warehouse One Energy Open Access Data Centres Stone Hut Teljoy Speed Test About Advertising Careers ChatGPT creator chips Myles Illidge9 October 2023 ChatGPT powered OpenAIs processors future, company considering manufacturing artificial intelligence AI chips, Reuters reports. Citing sources familiar companys plans, report stated company gone far evaluate possible acquisition target. Sam Altman, CEO OpenAI, previously complained GPU shortages blame concerns ChatGPT APIs speed reliability. In addition confronting GPU shortage, OpenAI producing chips help platforms running costs manageable. Analysis Bernstein Research revealed ChatGPT query costs OpenAI approximately US cents, millions queries day, costs stack rapidly. While company reached 100 million monthly users months, ChatGPT lost user base time July 2023. According Bernstein Researchs analysis, ChatGPT queries reach tenth queries Google gets, initially need 48.1 billion R929 billion worth GPUs spend 16 billion R309 billion year chips future. Currently, Nvidia dominates market chips AI applications, result, companies chosen start making own. For example, Microsoft working making AI chip 2019, according The Information. Now read: WhatsApp adding secret code feature AI chips ChatGPT Graphics processing unit GPU Microsoft Nvidia OpenAI Share Facebook Share Twitter Share thoughts: ChatGPT creator c daily newsletter Latest news Most fuelefficient cars R300,000 Twitter serving ads block report Lenovo launching Androidpowered PCs Core i9 processors Partner Content Stand chance win share R3,000 Take Paystack Tech Retail South Africa survey Hikvision eDVR kits Protect home business cuttingedge security Autonomous networking turbocharging MTN connectivity South Africa Show comments Join conversation Autoload comments Comments section policy: MyBroadband new article comments policy aims encourage constructive discussions. To comments published, sure civil adds value discussion. Follow Poll Which router brand home? TPLink DLink Linksys Netgear Ubiquiti Huawei Billion MikroTik ASUS Other View Results Loading ... Recommended Major loadshedding victory South Africa Florida man faces 10 years jail shooting halfamillion rand drone South African city kisses R350 million goodbye Ferrari boss happy test driving companys fullyelectric model Amazon launches Project Kuiper satellites orbit Share article ChatGPT creator chips Autonomous networking turbocharging MTN connectivity South Africa Next article South African city kisses R350 million goodbye Previous article Categories Telecoms Broadband ADSL Cellular Hardware Software Gadgets Motoring Sections Press Office Breaking News Forum Whats New Industry News Classifieds Information About Advertise RSS Terms Conditions Careers Notification Infringements Facebook Twitter YouTube Instagram Internet Speed Test MyBroadband Speed Test Network Status .za Follow daily newsletter
| 2,023 |
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https://nairametrics.com/2023/08/14/new-york-times-bars-tech-companies-from-using-its-contents-to-train-ai-models/
| 2023-08-14T00:00:00 |
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New York Times bars tech companies from using its contents to train AI models - Nairametrics
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New York Times bars tech companies from using its contents to train AI models - Nairametrics
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New York Times bars tech companies from using its contents to train AI models
byAghogho Udi
25 seconds ago
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Industries, Tech News
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The New York Times has implemented preemptive measures to prevent the utilization of its content for the training of artificial intelligence models.
In its most recent update to its terms and services, the NYT introduced a prohibition on the utilization of its content, encompassing text, photographs, images, audio/video clips, “look and feel,” metadata, or compilations, for the development of “any software program, including but not limited to training machine learning or artificial intelligence (AI) systems.”
Furthermore, the revised terms now explicitly state that automated tools, such as website crawlers designed to access, use, or gather said content, cannot be employed without obtaining written permission from the publication.
Failure to comply with these newly established restrictions may result in unspecified fines or penalties, as per the NYT’s declaration.
What it means
This action could potentially be a response to Google’s recent update in its privacy policy, which divulges that the search giant might collect publicly available data from the internet to enhance its various AI services, such as Bard or Cloud AI.
Many prominent AI services, including OpenAI’s ChatGPT, rely on extensive datasets that might encompass copyrighted or safeguarded materials acquired from the internet without the original creator’s consent.
NYT enters agreement with Google
Interestingly, the New York Times had entered into a $100 million agreement with Google in February, granting the search giant permission to showcase Times content on select platforms over the upcoming three years.
The publication indicated that both companies will collaborate on tools related to content distribution, subscriptions, marketing, advertisements, and “experimentation.”
This suggests that the amendments to the NYT’s terms of service could potentially affect entities like OpenAI or Microsoft.
What other AI companies have done
OpenAI recently publicized that website operators have the ability to block its GPTBot web crawler from scraping their websites. In a similar vein, Microsoft has also introduced additional constraints in its terms and conditions, prohibiting individuals from using its AI products to “create, train, or enhance (either directly or indirectly) any other AI service.”
The company has also forbidden users from extracting or scraping data from its AI tools.
Global news organisations call for regulation on AI
Earlier in the current month, numerous news organizations, including The Associated Press and the European Publishers’ Council, joined forces to issue an open letter advocating for global legislators to enact regulations mandating transparency with regard to training datasets. The letter also calls for obtaining consent from rights holders prior to utilizing data for training purposes.
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New York Times bars tech companies from using its contents to train AI models
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New York Times bars tech companies contents train AI models Nairametrics Home Exclusives Financial Analysis Corporate Stories Interviews Investigations Metrics Markets Currencies Cryptos Commodities Equities Dividends Stock Market Fixed ome Market Views Securities Industries Company News Consumer Goods Corporate Updates Corporate deals Corporate Press Releases Energy Entertainment Financial Services Hospitality Travel Manufacturing Real Estate Construction Tech News Economy Nairalytics MacroEconomic News Research Analysis Budget Public Debt Business News Financial Literacy Career tips Personal Finance Lifestyle Billionaire Watch Profiles Opinions Blurb OpEds No Result View All Result Home Exclusives Financial Analysis Corporate Stories Interviews Investigations Metrics Markets Currencies Cryptos Commodities Equities Dividends Stock Market Fixed ome Market Views Securities Industries Company News Consumer Goods Corporate Updates Corporate deals Corporate Press Releases Energy Entertainment Financial Services Hospitality Travel Manufacturing Real Estate Construction Tech News Economy Nairalytics MacroEconomic News Research Analysis Budget Public Debt Business News Financial Literacy Career tips Personal Finance Lifestyle Billionaire Watch Profiles Opinions Blurb OpEds No Result View All Result No Result View All Result Home Industries New York Times bars tech companies contents train AI models byAghogho Udi 25 seconds ago Industries, Tech News Share FacebookShare TwitterShare Linkedin The New York Times implemented preemptive measures prevent utilization content training artificial intelligence models. In recent update terms services, NYT introduced prohibition utilization content, encompassing text, photographs, images, audiovideo clips, look feel, metadata, compilations, development software program, including limited training machine learning artificial intelligence AI systems. Furthermore, revised terms explicitly state automated tools, website crawlers designed access, use, gather said content, employed obtaining written permission publication. Failure comply newly established restrictions result unspecified fines penalties, NYTs declaration. What means This action potentially response Googles recent update privacy policy, divulges search giant collect publicly available data internet enhance AI services, Bard Cloud AI. Many prominent AI services, including OpenAIs ChatGPT, rely extensive datasets encompass copyrighted safeguarded materials acquired internet original creators consent. NYT enters agreement Google Interestingly, New York Times entered 100 million agreement Google February, granting search giant permission showcase Times content select platforms upcoming years. The publication indicated companies collaborate tools related content distribution, subscriptions, marketing, advertisements, experimentation. This suggests amendments NYTs terms service potentially affect entities like OpenAI Microsoft. What AI companies OpenAI recently publicized website operators ability block GPTBot web crawler scraping websites. In similar vein, Microsoft introduced additional constraints terms conditions, prohibiting individuals AI products create, train, enhance directly indirectly AI service. The company forbidden users extracting scraping data AI tools. Global news organisations regulation AI Earlier current month, numerous news organizations, including The Associated Press European Publishers Council, joined forces issue open letter advocating global legislators enact regulations mandating transparency regard training datasets. The letter calls obtaining consent rights holders prior utilizing data training purposes. Tags: AI Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Business News Stock Market Money Market Cryptos Financial Literacy SME Recent News New York Times bars tech companies contents train AI models Sophos uncovers 4 ransomware groups similar patterns attack victims Lead Asset Management Limited set launch 1m Dollar Fixed ome Fund Follow social media: Recent News New York Times bars tech companies contents train AI models August 14, 2023 Sophos uncovers 4 ransomware groups similar patterns attack victims August 14, 2023 Download Nairametrics iOS App Download Nairametrics Android App Home Exclusives Markets Industries Economy Business News Financial Literacy Opinions 2023 Nairametrics No Result View All Result Home Exclusives Financial Analysis Corporate Stories Interviews Investigations Metrics Markets Currencies Cryptos Commodities Equities Dividends Stock Market Fixed ome Market Views Securities Industries Company News Consumer Goods Corporate Updates Corporate deals Corporate Press Releases Energy Entertainment Financial Services Hospitality Travel Manufacturing Real Estate Construction Tech News Economy Nairalytics MacroEconomic News Research Analysis Budget Public Debt Business News Financial Literacy Career tips Personal Finance Lifestyle Billionaire Watch Profiles Opinions Blurb OpEds Sign Up 2023 Nairametrics Welcome Back account Remember Me Forgotten Password? 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| 2,023 |
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https://nationalpost.com/pmn/news-pmn/canada-news-pmn/canada-must-regulate-ai-to-protect-privacy-and-human-rights-watchdog
| 2020-11-12T00:00:00 |
en
|
Canada must regulate AI to protect privacy and human rights: watchdog | National Post
|
Canada must regulate AI to protect privacy and human rights: watchdog | National PostSkip to ContentSubscriptionManage your print subscription. Manage your print subscription. Manage> Sections SearchSearch nationalpost.com Perform searchNational Post ShareShare this Story: Canada must regulate AI to protect privacy and human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrSubscribeMain MenuSearch nationalpost.com Perform searchNews NationalWorldCoronavirusHeroes of the PandemicObject Lessons of a PandemicTradePosted Newsletter MoneyWise Mortgages Archives PoliticsNP CommentPost PicksMore LifeBusiness EssentialsHoroscopesHealthHomesEating & DrinkingStyleTravelParentingCultureBooksCelebrityMoviesMusicTheatreTelevisionSportsNHLBaseballBasketballFootballSoccerGolfGolf Videos TennisThe GrowthOp Obituaries Place an Obituary Place an In Memoriam Classifieds Place an Ad Celebrations Local Directory This Week's FlyersJobs Financial Post HealthingDrivingThe GrowthOpVideosPodcastsE-Paper Subscribe Our OffersMy AccountNewsPoliticsNP CommentPost PicksFinancial Post HealthingDrivingThe GrowthOpVideosPodcastsE-Paper Breadcrumb Trail LinksPMN PoliticsPMN NewsPMN CanadaCanada must regulate AI to protect privacy and human rights: watchdogAuthor of the article:The Canadian PressMaan AlhmidiPublishing date:Nov 12, 2020 • • 2 minute readArticle contentOTTAWA — Artificial intelligence must be regulated to protect Canadians’ privacy and human rights, a federal watchdog says.In issuing new recommendations for regulating AI Thursday, Canada’s privacy commissioner Daniel Therrien said he is calling for legislation to regulate the use and development of AI systems.We apologize, but this video has failed to load.Try refreshing your browser, ortap here to see other videos from our team.Canada must regulate AI to protect privacy and human rights: watchdog Back to videoSuch legislation will help to reap the benefits of AI while upholding individuals’ fundamental right to privacy, he said in a statement.Therrien said these changes should entrench privacy as a human right and a necessary element for the exercise of other fundamental rights.AI models analyze and try to predict aspects of human behaviour and interests that can be used to make automated decisions about people.Those can include whether to issue job offers or qualify applicants for loans, setting insurance premiums, and even raising suspicions of unlawful behaviour, Therrien said.“Artificial intelligence has immense promise, but it must be implemented in ways that respect privacy, equality and other human rights,” Therrien said.“Such decisions have a real impact on lives, and raise concerns about how they are reached, as well as issues of fairness, accuracy, bias, and discrimination.”Article Sidebar ShareShare this Story: Canada must regulate AI to protect privacy and human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrTrendingAdvertisementStory continues belowThis advertisement has not loaded yet, but your article continues below.Article content continuedTherrien said legal changes are needed to address these concerns. Those include amending the Personal Information Protection and Electronic Documents Act to allow, but restrict, the use of personal information in AI innovation.He recommended creating a right to meaningful explanation for automated decisions and a right to contest those decisions.Also, he called for strengthening accountability by requiring demonstrations of privacy compliance, and empowering his office to issue binding orders and proportional financial penalties for violations.Last month, the federal, Alberta and B.C. privacy commissioners said that five million images of shoppers’ faces were collected without their consent at a dozen of Canada’s most popular malls.Real estate company Cadillac Fairview used cameras and facial-recognition technology to discern shoppers’ ages and genders, according to the watchdogs’ investigation.The commissioners had no legal power to issue fines against the firm, or any companies that violate Canadians’ personal information.B.C. information and privacy commissioner Michael McEvoy said the inability to address these violations is an “incredible shortcoming of Canadian law that should really change.”This report by The Canadian Press was first published Nov. 12, 2020——This story was produced with the financial assistance of the Facebook and Canadian Press News Fellowship.Article Sidebar ShareShare this Story: Canada must regulate AI to protect privacy and human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrTrendingShare this article in your social networkShare this Story: Canada must regulate AI to protect privacy and human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrPosted NewsletterSign up to receive the daily top stories from the National Post, a division of Postmedia Network Inc.Email AddressThere was an error, please provide a valid email address.By clicking on the sign up button you consent to receive the above newsletter from Postmedia Network Inc. 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Canada must regulate AI to protect privacy and human rights: watchdog
|
Canada regulate AI protect privacy human rights: watchdog National PostSkip ContentSubscriptionManage print subscription. Manage print subscription. Manage> Sections Perform searchNational Post ShareShare Story: Canada regulate AI protect privacy human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrMain Menu Perform searchNews NationalWorldCoronavirusHeroes PandemicObject Lessons PandemicTradePosted Newsletter MoneyWise Mortgages Archives PoliticsNP CommentPost PicksMore LifeBusiness EssentialsHoroscopesHealthHomesEating DrinkingStyleTravelParentingCultureBooksCelebrityMoviesMusicTheatreTelevisionSportsNHLBaseballBasketballFootballSoccerGolfGolf Videos TennisThe GrowthOp Obituaries Place Obituary Place In Memoriam Classifieds Place Ad Celebrations Local Directory This Weeks FlyersJobs Financial Post HealthingDrivingThe GrowthOpVideosPodcastsEPaper Our OffersMy AccountNewsPoliticsNP CommentPost PicksFinancial Post HealthingDrivingThe GrowthOpVideosPodcastsEPaper Breadcrumb Trail LinksPMN PoliticsPMN NewsPMN CanadaCanada regulate AI protect privacy human rights: watchdogAuthor article:The Canadian PressMaan AlhmidiPublishing date:Nov 12, 2020 2 minute readArticle contentOTTAWA Artificial intelligence regulated protect Canadians privacy human rights, federal watchdog says.In issuing new recommendations regulating AI Thursday, Canadas privacy commissioner Daniel Therrien said calling legislation regulate use development AI systems.We apologize, video failed load.Try refreshing browser, ortap videos team.Canada regulate AI protect privacy human rights: watchdog Back videoSuch legislation help reap benefits AI upholding individuals fundamental right privacy, said statement.Therrien said changes entrench privacy human right necessary element exercise fundamental rights.AI models analyze try predict aspects human behaviour interests automated decisions people.Those include issue job offers qualify applicants loans, setting insurance premiums, raising suspicions unlawful behaviour, Therrien said.Artificial intelligence immense promise, implemented ways respect privacy, equality human rights, Therrien said.Such decisions real impact lives, raise concerns reached, issues fairness, accuracy, bias, discrimination.Article Sidebar ShareShare Story: Canada regulate AI protect privacy human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrTrendingAdvertisementStory continues belowThis advertisement loaded yet, article continues below.Article content continuedTherrien said legal changes needed address concerns. Those include amending Personal Information Protection Electronic Documents Act allow, restrict, use personal information AI innovation.He recommended creating right meaningful explanation automated decisions right contest decisions.Also, called strengthening accountability requiring demonstrations privacy compliance, empowering office issue binding orders proportional financial penalties violations.Last month, federal, Alberta B.C. privacy commissioners said million images shoppers faces collected consent dozen Canadas popular malls.Real estate company Cadillac Fairview cameras facialrecognition technology discern shoppers ages genders, according watchdogs investigation.The commissioners legal power issue fines firm, companies violate Canadians personal information.B.C. information privacy commissioner Michael McEvoy said inability address violations incredible shortcoming Canadian law change.This report The Canadian Press published Nov. 12, 2020This story produced financial assistance Facebook Canadian Press News Fellowship.Article Sidebar ShareShare Story: Canada regulate AI protect privacy human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrTrendingShare article social networkShare Story: Canada regulate AI protect privacy human rights: watchdog Copy LinkEmailFacebookTwitterRedditLinkedInTumblrPosted NewsletterSign receive daily stories National Post, division Postmedia Network .Email AddressThere error, provide valid email address.By clicking sign button consent receive newsletter Postmedia Network . 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| 2,020 |
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https://newatlas.com/military/us-uk-and-australia-test-ai-drones-world-first-exercise/
| 2023-05-31T00:00:00 |
en
|
US, UK, and Australia test AI drones in world-first exercise
|
US, UK, and Australia test AI drones in world-first exercise
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Military
US, UK, and Australia test AI drones in world-first exercise
By David Szondy
May 30, 2023
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US, UK, and Australia test AI drones in world-first exercise
Drones used in the US, UK, Australia exercise on Salisbury PlainUK MoD
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Drones used in the US, UK, Australia exercise on Salisbury PlainUK MoD
In a world first, the United States, Britain, and Australia have carried out an exercise at Salisbury Plain, England under the AUKUS agreement to field test drones equipped with jointly developed autonomy and artificial intelligence systems capable of not only detecting and tracking military targets, but that are also able to retrain themselves in flight in the face of mission changes.The Australia, UK, US (AUKUS) trilateral security treaty was first conceived in 2021 as a program outside the Five Eyes intelligence-sharing alliance that would allow the United States and Britain to help Australia acquire nuclear-powered attack submarines.Since then, it's grown considerably in scope. In part, this is because nuclear submarines can't just be bought off the rack and the Australian government wants the boats built domestically – at least the later ones. This means developing a whole infrastructure of shipyards, docks, support facilities, refueling lines, tenders, and other installations. It also means closer ties between the US Navy, Royal Navy, and Royal Australian Navy, with exchanges of personnel and joint training as well as educating a civilian workforce and expert pool to support the project.More than that, it represents the greatest technology transfer program since the Second World War. This not only includes things like reactor technology and related submarine systems, but also the intent on the part of the three powers to jointly develop advanced cybernetic mechanisms, artificial intelligence and autonomy technology, quantum technologies, undersea capabilities, hypersonic and counter-hypersonic weapons, electronic warfare systems, and innovation and information sharing.The latest example of this is the recent exercise in April 2023 that involved over 70 military and civilian defense experts and industry contractors from the alliance as well as a variety of air and ground vehicles to test target identification. The goal is to develop common AI and autonomy systems that allow drones to act in a collaborative swarm autonomously in real time in a realistic environment. The idea is to rapidly field robust, trustworthy AI and autonomous systems in complex operations that are trustworthy and reliable and can retrain themselves in flight in response to evolving missions.According to the UK Ministry of Defence, by working together, the three nations can not only speed up development without duplication of effort, but can also ensure that there is a common system that can operate with all three militaries.The vehicles involved in the Salisbury exercise included a Blue Bear Ghost (UK) and Boeing/Insitu CT220 (AUS) uncrewed aerial vehicles (UAVs), a Challenger 2 tank, Warrior armored vehicle and Viking uncrewed ground vehicle (UGV), a commercially-hired FV433 Abbot self-propelled gun and a former Eastern Bloc BMP OT-90 infantry fighting vehicle."The AUKUS AI and Autonomy trial in Salisbury Plains demonstrated AI algorithms working in a mission-tailored adaptive capability," said Australian Deputy Secretary, Strategy, Policy and Industry, Hugh Jeffrey. "The AUKUS research and operator teams collaborated to develop, test and evaluate joint machine-learning models, and operate our different national platforms on the battlefield."I was impressed to see AI models rapidly updated at the tactical edge to incorporate new targets, which were immediately shared among the three partners to deliver decision advantage and meet changing mission requirements. This cooperation under AUKUS Pillar II will deliver a capability greater than any one country could achieve alone, and this really is the rationale for the AUKUS partnership at work."The video below discusses the recent exercise.
AUKUS AI
Source: UK Ministry of Defence
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David Szondy
David Szondy is a playwright, author and journalist based in Seattle, Washington. A retired field archaeologist and university lecturer, he has a background in the history of science, technology, and medicine with a particular emphasis on aerospace, military, and cybernetic subjects. In addition, he is the author of four award-winning plays, a novel, reviews, and a plethora of scholarly works ranging from industrial archaeology to law. David has worked as a feature writer for many international magazines and has been a feature writer for New Atlas since 2011.
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US, UK, and Australia test AI drones in world-first exercise
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US, UK, Australia test AI drones worldfirst exercise SUBSCRIBE ADFREE LOG IN HOME LIFESTYLE Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories SCIENCE Energy Medical Space Materials Biology Environment Physics View SCIENCE categories Energy Medical Space Materials Biology Environment Physics View SCIENCE categories TECHNOLOGY Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories TRANSPORT Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories 2023 New Atlas Menu HOME LIFESTYLE Health Wellbeing Outdoors Tiny Houses Architecture Around Home Good Thinking Holiday Destinations View LIFESTYLE categories SCIENCE Energy Medical Space Materials Biology Environment Physics View SCIENCE categories TECHNOLOGY Photography Military Mobile Technology Games Drones Home Entertainment Deals View TECHNOLOGY categories TRANSPORT Automotive Aircraft Bicycles Motorcycles Marine Urban Transport View TRANSPORT categories SUBSCRIBE ADFREE LOG IN Show Query Submit Military US, UK, Australia test AI drones worldfirst exercise ByDavid Szondy May 30, 2023 Facebook Twitter Flipboard LinkedIn US, UK, Australia test AI drones worldfirst exercise Drones US, UK, Australia exercise Salisbury PlainUK MoD View 1 Image 11 Drones US, UK, Australia exercise Salisbury PlainUK MoD In world first, United States, Britain, Australia carried exercise Salisbury Plain, England AUKUS agreement field test drones equipped jointly developed autonomy artificial intelligence systems capable detecting tracking military targets, able retrain flight face mission changes.The Australia, UK, US AUKUS trilateral security treaty conceived 2021 program outside Five Eyes intelligencesharing alliance allow United States Britain help Australia acquire nuclearpowered attack submarines.Since then, grown considerably scope. In part, nuclear submarines bought rack Australian government wants boats built domestically later ones. This means developing infrastructure shipyards, docks, support facilities, refueling lines, tenders, installations. It means closer ties US Navy, Royal Navy, Royal Australian Navy, exchanges personnel joint training educating civilian workforce expert pool support project.More that, represents greatest technology transfer program Second World War. This includes things like reactor technology related submarine systems, intent powers jointly develop advanced cybernetic mechanisms, artificial intelligence autonomy technology, quantum technologies, undersea capabilities, hypersonic counterhypersonic weapons, electronic warfare systems, innovation information sharing.The latest example recent exercise April 2023 involved 70 military civilian defense experts industry contractors alliance variety air ground vehicles test target identification. The goal develop common AI autonomy systems allow drones act collaborative swarm autonomously real time realistic environment. The idea rapidly field robust, trustworthy AI autonomous systems complex operations trustworthy reliable retrain flight response evolving missions.According UK Ministry Defence, working together, nations speed development duplication effort, ensure common operate militaries.The vehicles involved Salisbury exercise included Blue Bear Ghost UK BoeingInsitu CT220 AUS uncrewed aerial vehicles UAVs, Challenger 2 tank, Warrior armored vehicle Viking uncrewed ground vehicle UGV, commerciallyhired FV433 Abbot selfpropelled gun Eastern Bloc BMP OT90 infantry fighting vehicle.The AUKUS AI Autonomy trial Salisbury Plains demonstrated AI algorithms working missiontailored adaptive capability, said Australian Deputy Secretary, Strategy, Policy Industry, Hugh Jeffrey. The AUKUS research operator teams collaborated develop, test evaluate joint machinelearning models, operate different national platforms battlefield.I impressed AI models rapidly updated tactical edge incorporate new targets, immediately shared partners deliver decision advantage meet changing mission requirements. This cooperation AUKUS Pillar II deliver capability greater country achieve alone, rationale AUKUS partnership work.The video discusses recent exercise. AUKUS AI Source: UK Ministry Defence Tags MilitaryAustraliaBritishdronesArtificial Intelligence Facebook Twitter Flipboard LinkedIn No comments David Szondy David Szondy playwright, author journalist based Seattle, Washington. A retired field archaeologist university lecturer, background history science, technology, medicine particular emphasis aerospace, military, cybernetic subjects. In addition, author awardwinning plays, novel, reviews, plethora scholarly works ranging industrial archaeology law. David worked feature writer international magazines feature writer New Atlas 2011. Most Viewed Sports Kurtsystems: A kinder way cruel job? Military THOR microwave weapon hammers drone swarms demo test Outdoors Scout shrinks lightweight pickup camper Ford Maverick size Load More 0 comments Sign post comment. Please comments 150 words. No abusive material spam published. There comments. Be GET OUR NEWSLETTEROver 220,000 people receive email newsletter. 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https://news.sap.com/2023/05/ibm-watson-artificial-intelligence-in-sap-solutions/
| 2023-05-02T00:00:00 |
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IBM Watson Artificial Intelligence in SAP Solutions | SAP News
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IBM Watson Artificial Intelligence in SAP Solutions | SAP News
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SAP to Embed IBM Watson Artificial Intelligence into SAP Solutions
Press Release
by SAP News
May 2, 2023
WALLDORF and ARMONK — SAP SE (NYSE: SAP) and IBM (NYSE: IBM) today announced that IBM Watson technology will be embedded into SAP solutions to provide new AI-driven insights and automation to help accelerate innovation and create more efficient and effective user experiences across the SAP application portfolio.
SAP will use IBM Watson capabilities to power its digital assistant in SAP Start, which provides a unified entry point for cloud solutions from SAP. With SAP Start, users can search for, launch and interactively engage with apps provided in cloud solutions from SAP and SAP S/4HANA Cloud. New AI capabilities in SAP Start will be designed to help users boost productivity with both natural language capabilities and predictive insights using IBM Watson AI solutions built on IBM’s trust and transparency and data privacy principles.
“This milestone collaboration with IBM aims to provide SAP customers a better user experience, faster decision-making and greater insights to help transform their business processes,” said Christian Klein, CEO and Member of the Executive Board of SAP SE. “Working together to incorporate additional AI, machine learning and other intelligent technologies into SAP solutions can lead to better business outcomes for our joint customers. Today’s news, along with the recent news of our expanded use of Red Hat Enterprise Linux, is a prime example of how the rich, 50-year partnership between our companies continues to grow stronger and move the industry forward.”
New digital assistant capabilities in SAP Start will be extended across SAP solutions to help answer diverse questions for managers and employees. By automating and speeding up common tasks, the capabilities are designed to help unlock employee productivity to focus on more strategic work. SAP Start will allow customers to benefit from intelligence at the point of decision-making with the ability to use AI and machine learning to extract information from a variety of data sources and answer user questions across lines of business. Today, IBM technology currently available in the TripIt mobile app from SAP Concur is helping nearly 13 million users easily access AI-derived weather insights to make more sustainable travel choices before and during their trips.
IBM delivers market-leading AI capabilities with Watson products deployed by more than 100 million users across 20 industries. In addition, SAP and IBM Consulting are currently supporting customers with 25 joint intelligent industry solutions that use IBM Watson capabilities underpinned by SAP Business Technology Platform (SAP BTP). These industry solutions help customers across industries such as retail, manufacturing and utilities accelerate their business transformation and use data to make more informed decisions.
“IBM and SAP are joining forces to give businesses new and exciting ways to harness the transformative power of AI and use it as a source of competitive advantage,” said Arvind Krishna, IBM Chairman and Chief Executive Officer. “With this announcement, we are infusing IBM Watson’s powerful, enterprise-grade AI capabilities into SAP’s leading ERP platform to help businesses reimagine customer experiences, boost productivity and fuel growth.”
In addition to natively embedding IBM Watson AI capabilities into SAP solutions, SAP and IBM are collaborating on generative AI and large language models aimed to deliver consistent continuous learning and automation based on SAP’s mission-critical application suite.
Visit the SAP News Center. Follow SAP on Twitter at @SAPNews.
About IBM
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com. Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.
About SAP
SAP’s strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: SAP customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers’ businesses into intelligent enterprises. SAP helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want – without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improve people’s lives. For more information, visit www.sap.com.
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IBM Watson Artificial Intelligence SAP Solutions SAP News Skip content > Press Room SAP Embed IBM Watson Artificial Intelligence SAP Solutions Press Release SAP News May 2, 2023 WALLDORF ARMONK SAP SE NYSE: SAP IBM NYSE: IBM today announced IBM Watson technology embedded SAP solutions provide new AIdriven insights automation help accelerate innovation create efficient effective user experiences SAP application portfolio. SAP use IBM Watson capabilities power digital assistant SAP Start, provides unified entry point cloud solutions SAP. With SAP Start, users search for, launch interactively engage apps provided cloud solutions SAP SAP S4HANA Cloud. New AI capabilities SAP Start designed help users boost productivity natural language capabilities predictive insights IBM Watson AI solutions built IBMs trust transparency data privacy principles. This milestone collaboration IBM aims provide SAP customers better user experience, faster decisionmaking greater insights help transform business processes, said Christian Klein, CEO Member Executive Board SAP SE. Working incorporate additional AI, machine learning intelligent technologies SAP solutions lead better business outcomes joint customers. Todays news, recent news expanded use Red Hat Enterprise Linux, prime example rich, 50year partnership companies continues grow stronger industry forward. New digital assistant capabilities SAP Start extended SAP solutions help answer diverse questions managers employees. By automating speeding common tasks, capabilities designed help unlock employee productivity focus strategic work. SAP Start allow customers benefit intelligence point decisionmaking ability use AI machine learning extract information variety data sources answer user questions lines business. Today, IBM technology currently available TripIt mobile app SAP Concur helping nearly 13 million users easily access AIderived weather insights sustainable travel choices trips. IBM delivers marketleading AI capabilities Watson products deployed 100 million users 20 industries. In addition, SAP IBM Consulting currently supporting customers 25 joint intelligent industry solutions use IBM Watson capabilities underpinned SAP Business Technology Platform SAP BTP. These industry solutions help customers industries retail, manufacturing utilities accelerate business transformation use data informed decisions. IBM SAP joining forces businesses new exciting ways harness transformative power AI use source competitive advantage, said Arvind Krishna, IBM Chairman Chief Executive Officer. With announcement, infusing IBM Watsons powerful, enterprisegrade AI capabilities SAPs leading ERP platform help businesses reimagine customer experiences, boost productivity fuel growth. In addition natively embedding IBM Watson AI capabilities SAP solutions, SAP IBM collaborating generative AI large language models aimed deliver consistent continuous learning automation based SAPs missioncritical application suite. Visit SAP News Center. Follow SAP Twitter About IBM IBM leading global hybrid cloud AI, business services provider, helping clients 175 countries capitalize insights data, streamline business processes, reduce costs gain competitive edge industries. Nearly 3,800 government corporate entities critical infrastructure areas financial services, telecommunications healthcare rely IBMs hybrid cloud platform Red Hat OpenShift affect digital transformations quickly, efficiently, securely. IBMs breakthrough innovations AI, quantum computing, industryspecific cloud solutions business services deliver open flexible options clients. All backed IBMs legendary commitment trust, transparency, responsibility, inclusivity, service. For information, visit Statements IBMs future direction intent subject change withdrawal notice represent goals objectives only. About SAP SAPs strategy help business run intelligent, sustainable enterprise. As market leader enterprise application software, help companies sizes industries run best: SAP customers generate 87 total global commerce. Our machine learning, Internet Things IoT, advanced analytics technologies help turn customers businesses intelligent enterprises. SAP helps people organizations deep business insight fosters collaboration helps stay ahead competition. We simplify technology companies consume software way want disruption. Our endtoend suite applications services enables business public customers 25 industries globally operate profitably, adapt continuously, difference. With global network customers, partners, employees, thought leaders, SAP helps world run better improve peoples lives. For information, visit Note editors: To preview download broadcaststandard stock footage press photos digitally, visit On platform, high resolution material media channels. To view video stories diverse topics, visit From site, embed videos Web s, share video email links, subscribe RSS feeds SAP TV. For customers interested learning SAP products: Global Customer Center: 49 180 5343424 United States Only: 1 800 8721SAP 18008721727 For information, press only: Alex Vaught, 1 425 5900844, alex.vaught PT Holli Haswell, 1 720 396 5485, hhaswell CT SAP Press Room; press This document contains forwardlooking statements, predictions, projections, statements future events. These statements based current expectations, forecasts, assumptions subject risks uncertainties cause actual results outcomes materially differ. Additional information risks uncertainties filings Securities Exchange Commission, including limited risk factors section SAPs 2021 Annual Report Form 20F. 2023 SAP SE. . 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] | 1 | 3,100 |
https://news.yahoo.com/artificial-intelligence-may-just-given-133422185.html
| 2023-04-14T00:00:00 |
en
|
Artificial intelligence may have just given astronomers a better idea of what black holes really look like
|
Artificial intelligence may have just given astronomers a better idea of what black holes really look like HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download the Yahoo News app Yahoo News Yahoo News Search query Sign in Mail Sign in to view your mail News US Politics World COVID-19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Contact Us …
Close this contentBusiness InsiderArtificial intelligence may have just given astronomers a better idea of what black holes really look likeRead full articleAaron McDadeApril 14, 2023, 9:34 AM·2 min readA comparison of the original image (left), captured in 2019, and a new version supplemented by artificial intelligence that scientists believe is closer to what the black hole may actually look like.Lia Medeiros via The Associated PressResearchers released a new, clearer image of what they believe the M87 black hole looks like.They developed a machine learning algorithm to provide clearer images of the black hole first released in 2019.The algorithm used data from thousands of simulated black holes to fill in gaps of data that created the 2019 images.A group of astronomers released what they believe is a more accurate depiction of the M87 black hole, images they created using artificial intelligence to fill in the gaps from photos first released by researchers in 2019.The new images, published Thursday in The Astrophysical Journal Letters, could provide important information for scientists studying the M87 black hole and others in the future, researchers said.The original image — first captured by the Event Horizon Telescope in 2017 — was taken using a collection of high-powered telescopes around the globe focused on the black hole at the center of the Messier 87 galaxy. The hole is about 54 million light years away from Earth and located within the constellation Virgo.However, as the world cannot be covered in telescopes to capture a clearer image, researchers developed a machine learning algorithm that could interpret the data from thousands of simulated images of what black holes should look like based on decades of calculations to fill in the gaps from the 2019 images, researchers said."With our new machine learning technique, PRIMO, we were able to achieve the maximum resolution of the current array," lead author Dr. Lia Medeiros said in a statement. "Since we cannot study black holes up-close, the detail of an image plays a critical role in our ability to understand its behavior."—Lia Medeiros PhD (@astronolia) April 13, 2023Researchers said the thinner orange line around the black hole is produced by the emissions of hot gas falling into the black hole, and noted the new images still align with data captured by the Event Horizon Telescope and theoretical expectations.They said the accuracy of the technology in analyzing the M87 black hole could allow researchers to use it to study other astronomical objects that have been captured by the Event Horizon Telescope, including Sagittarius A*, the central black hole in our own Milky Way galaxy.Read the original article on Business Insider
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Artificial intelligence may have just given astronomers a better idea of what black holes really look like
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Artificial intelligence given astronomers better idea black holes look like HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download Yahoo News app Yahoo News Yahoo News query Sign Mail Sign view mail News US Politics World COVID19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Us Close contentBusiness InsiderArtificial intelligence given astronomers better idea black holes look likeRead articleAaron McDadeApril 14, 2023, 9:34 AM2 min readA comparison original image left, captured 2019, new version supplemented artificial intelligence scientists believe closer black hole actually look like.Lia Medeiros The Associated PressResearchers released new, clearer image believe M87 black hole looks like.They developed machine learning algorithm provide clearer images black hole released 2019.The algorithm data thousands simulated black holes gaps data created 2019 images.A group astronomers released believe accurate depiction M87 black hole, images created artificial intelligence gaps photos released researchers 2019.The new images, published Thursday The Astrophysical Journal Letters, provide important information scientists studying M87 black hole future, researchers said.The original image captured Event Horizon Telescope 2017 taken collection highpowered telescopes globe focused black hole center Messier 87 galaxy. The hole 54 million light years away Earth located constellation Virgo.However, world covered telescopes capture clearer image, researchers developed machine learning algorithm interpret data thousands simulated images black holes look like based decades calculations gaps 2019 images, researchers said.With new machine learning technique, PRIMO, able achieve maximum resolution current array, lead author Dr. Lia Medeiros said statement. Since study black holes upclose, image plays critical role ability understand behavior.Lia Medeiros PhD April 13, 2023Researchers said thinner orange line black hole produced emissions hot gas falling black hole, noted new images align data captured Event Horizon Telescope theoretical expectations.They said accuracy technology analyzing M87 black hole allow researchers use study astronomical objects captured Event Horizon Telescope, including Sagittarius A, central black hole Milky Way galaxy.Read original article Business Insider Recommended StoriesINSIDERPhotos 700 Titanics 2,200 passengers saved Carpathia ship sank 111 years agoThe Titanic sank April 1912. Almost 30,000 people gathered New York City welcome survivors docked.1h agoBusiness InsiderBank America clients yanked 451 million realestate stocks commercial property investors newest worryThe outflow US realestate stocks biggest July 2021, according Bank America, investors fret commercial property sector.2d agoBusiness InsiderDramatic image shows plasma waterfall sun thats 8 times size EarthThe structure, 60,000milestall, latest string stunning solar events star nears peak activity.3h agoINSIDERThe Parent Trap star Lisa Ann Walter says absolutely crush costar Dennis QuaidWalter said Watch What Happens Live Quaid whispered ear day shooting fall ground.2h agoBusiness InsiderAmazon CEO Andy Jassys total pay dropped 200 million 2021 1.3 million 2022 received stock awardsJassys smaller compensation 2022 receiving stock awards 2022.2h agoMotley FoolStimulus Update: Will There Be Surge COVID Cases Millions Lose Medicaid Coverage?Although worst pandemic over, COVID19 eradicated. Will funding cuts community health centers cause uptick cases? Read learn more.22h agoBloombergDrugmaker Danco Asks Supreme Court Keep Abortion Pill Fully AvailableBloomberg Danco Laboratories LLC asked US Supreme Court widely abortion pill fully available pause courtordered restrictions set effect Friday.Most Read BloombergUS Embarrassed After 21YearOld Arrested Classified Documents LeakArnaults Wealth Soars 210 Billion, Leaving Musk DustUSSaudi Oil Pact Breaking Down Russia Grabs Upper HandJPMorgan Says Franks Javice Moved Millions Shell CompanyUS Arrests 21YearOld National G58m agoBarrons.comMore First Republic Advisors Exit, Decamping JPMorgan, Morgan StanleyTwo advisor teams left First Republic join Wall Street giants Morgan Stanley JPMorgan latest rolling stream defections chipping away embattled banks wealth management team. Paul VasadyKovacs, 22year industry veteran joined First Republic October 2022, registered week Morgan Stanley, according regulatory records. Another team, led Eric Yamin Keith Caparelli, shorter stint First Republic, registering week J.P. Morgan Securities joining bank January.18h agoBusiness InsiderLegal pot sales eclipse sales chocolate US Americans reach joints berry edibles insteadRetail revenue cannabis products exceed estimated 33.6 billion year, combined total chocolate craft beer.5h agoMiami HeraldTourist sees crawling leaf night hike discovers new speciesThe elusive creature forest Brunei, study said.19h agoINSIDERI moved US South Africa. Here 11 big differences grocery shopping countries.After moving New Jersey Cape Town, I learned weigh produce getting checkout line openair markets.1h agoBloombergThe Jan. 6 Grand Jury Is Starting Hear From Trumps Inner CircleBloomberg Donald Trumps court losses freed prosecutors grand jury members inner White House circle room critical showdowns presidents frantic push overturn Joe Bidens 2020 election victory.Most Read BloombergUS Embarrassed After 21YearOld Arrested Classified Documents LeakArnaults Wealth Soars 210 Billion, Leaving Musk DustUSSaudi Oil Pact Breaking Down Russia Grabs Upper HandJPMorgan Says Franks1h agoPeoplePeloton Instructor Leanne Hainsby Describes Breast Cancer Journey: Its Been Tough YearSo Peloton members going struggles, bike, I, says Leanne Hainsby teaching classes going chemo2d agoBusiness InsiderTheranos founder Elizabeth Holmes set prison later month heres know partner, Billy Evans, fixture monthslong trialElizabeth Holmes partner daily trial companion, Billy Evans, recently recalled story met initial hesitation date her.22h agoGOBankingRatesAll Things You Should Never Keep Your WalletYears ago, I crowded outdoor market, reached purse plucked credit card debit card wallet. I didnt know missing I got home and...4h agoEagles WireLOOK: Eagles Darius Slay CB duo NFL; Odell Beckham joining RavensAllPro CB Darius talked Odell Beckham Jr. joining Ravens, gave opinion CB duo NFL match Eagles pair20h agoINSIDERExNickelodeon star Drake Bell safe, Florida police sayDrake Bell, star Nickelodeon Drake Josh, reported missing, later safe, according Florida police.21h agoYahoo Life ShoppingThese comfy Birksinspired flip flops 20: Super soft like yoga matEven shoppers prone plantar fasciitis rave reviews: No foot pain all.2d agoAssociated PressMinneapolis OKs dawn Muslim prayer call, 1st big US cityMinneapolis allow broadcasts Muslim prayer hours, major U.S. city allow announcement adhan heard speakers times day, yearround. The Minneapolis City Council unanimously agreed Thursday amend citys noise ordinance, prevented dawn late evening calls certain times year noise restrictions, Minneapolis Star Tribune reported. The vote came Muslim holy month Ramadan.41m agoFox NewsNorthwestern University orders shelterinplace Chicagoarea beach shooting leaves 1 dead, 2 injuredThree teenagers shot beach near Northwestern Universitys Evanston, Illinois, campus Wednesday night. One died, critical suffered minor injuries.1d agoMore Stories TRENDINGINSIDERViktor Bout, Merchant Death arms dealer exchanged Brittney Griner, says fears Trumps life urged flee RussiaINSIDER4 min readINSIDERChris Tucker private jet turn fly New York landing LA Michael Jackson wanted meet himINSIDER2 min readYahoo NewsWho Jack Teixeira, Massachusetts Air National Guard member arrested Pentagon leak case?Yahoo News3 min readAssociated PressTrump answers questions 7 hours NY fraud lawsuitAssociated Press3 min readINSIDERBob Iger says Ron DeSantis wants end feud Disney, sit discuss thisINSIDER3 min read POPULAR1stever black hole image gets sharp new AI makeoverSpaceHubble spots runaway black hole leaving trail bright stars wakeThe Weather NetworkAI gave humanitys photo black hole huge makeoverBGRChatGPT beat stock market, professor claimsThe TelegraphWhose hole it? City points finger viral photoKTRK Houston YahooUSPoliticsWorldCOVID19Climate ChangeHealthScienceOriginals UsTerms Your Privacy ChoicesHelpShare feedbackAbout Our AdsSite mapFollow ontwitterfacebookinstagramDownload app 2023 Yahoo. .
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] | 1 | 3,101 |
https://news.yahoo.com/mlcommons-launches-platform-benchmark-ai-150015616.html
| 2023-07-17T00:00:00 |
en
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MLCommons launches a new platform to benchmark AI medical models
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MLCommons launches a new platform to benchmark AI medical modelsTechCrunchMLCommons launches a new platform to benchmark AI medical modelsKyle WiggersJuly 17, 2023 at 11:00 AM·5 min readWith the pandemic acting as an accelerant, the healthcare industry is embracing AI enthusiastically. According to a 2020 survey by Optum, 80% of healthcare organizations have an AI strategy in place, while another 15% are planning to launch one.Vendors -- including Big Tech companies -- are rising to meet the demand. Google recently unveiled Med-PaLM 2, an AI model designed to answer medical questions and find insights in medical texts. Elsewhere, startups like Hippocratic and OpenEvidence are developing models to offer actionable advice to clinicians in the field.But as more models tuned to medical use cases come to market, it's becoming increasingly challenging to know which models -- if any -- perform as advertised. Because medical models are often trained with data from limited, narrow clinical settings (e.g. hospitals along the Eastern seaboard), some show biases toward certain patient populations, usually minorities -- leading to harmful impacts in the real world.In an effort to establish a reliable, trusted way to benchmark and evaluate medical models, MLCommons, the engineering consortium focused on building tools for AI industry metrics, has architected a new testing platform called MedPerf. MedPerf, MLCommons says, can evaluate AI models on "diverse real-world medical data" while protecting patient privacy."Our goal is to use benchmarking as a tool to enhance medical AI," Alex Karargyris, the co-chair of MLCommons Medical Working Group, which spearheaded MedPerf, said in a press release. "Neutral and scientific testing of models on large and diverse data sets can improve effectiveness, reduce bias, build public trust and support regulatory compliance."MedPerf, the result of a two-year collaboration led by the Medical Working Group, was built with input from both industry and academia -- over 20 companies and more than 20 academic institutions gave feedback, according to MLCommons. (The Medical Working Group's members span big corps like Google, Amazon, IBM and Intel as well as universities such as Brigham and Women's Hospital, Stanford and MIT.)In contrast to MLCommons' general-purpose AI benchmarking suites, like MLPerf, MedPerf is designed to be used by the operators and customers of medical models -- healthcare organizations -- rather than vendors. Hospitals and clinics on the MedPerf platform can assess AI models on demand, employing "federated evaluation" to remotely deploy models and evaluate them on-premises.MedPerf supports popular machine learning libraries in addition to private models and models available only through an API, like those from Epic and Microsoft's Azure OpenAI Services.MLCommons MedPerfAn illustration of how the MedPerf platform works in practice.In a test of the system earlier this year, MedPerf hosted the NIH-funded Federated Tumor Segmentation (FeTS) Challenge, a large comparison of models for assessing post-op treatment for glioblastoma (an aggressive brain tumor). MedPerf supported the testing of 41 different models this year, running both on-premises and in the cloud, across 32 healthcare sites on six continents.According to MLCommons, all of the models showed reduced performance at sites with different patient demographics then the ones they were trained on, revealing the biases contained within."It’s exciting to see the results of MedPerf's medical AI pilot studies, where all the models ran on hospital’s systems, leveraging pre-agreed data standards, without sharing any data," Renato Umeton, director of AI operations at Dana-Farber Cancer Institute and another co-chair of the MLCommons Medical Working Group, said in a statement. “The results reinforce that benchmarks through federated evaluation are a step in the right direction toward more inclusive AI-enabled medicine."MLCommons sees MedPerf, which is mostly limited to evaluating radiology scan-analyzing models at present, as a "foundational step" toward its mission to accelerate medical AI through "open, neutral and scientific approaches." It's calling on AI researchers to use the platform to validate their own models across healthcare institutions and data owners to register their patient data to increase the robustness of MedPerf's testing.But this writer wonders if -- assuming MedPerf works as advertised, which isn't a sure thing -- whether the platform truly tackles the intractable issues in AI for healthcare.A recent revealing report compiled by researchers at Duke University reveals a massive gap between the marketing of AI and the months -- sometimes years -- of toil it takes to get the tech to work the right way. Often, the report found, the difficulty lies in figuring out how to incorporate the tech into the daily routines of doctors and nurses and the complicated care-delivery and technical systems that surround them.It's not a new problem. In 2020, Google released a surprisingly candid whitepaper that detailed the reasons its AI screening tool for diabetic retinopathy fell short in real-life testing. The roadblocks didn't lie with the models necessarily, but rather the ways in which hospitals deployed their equipment, internet connectivity strength and even how patients responded to the AI-assisted evaluation.Unsurprisingly, health care practitioners -- not organizations -- have mixed feelings about AI in healthcare. A poll by Yahoo Finance found that 55% believe the tech isn't ready for use and only 26% believe it can be trusted.That's not to suggest medical model bias isn't a real problem -- it is, and it has consequences. System's like Epic's for identifying cases of sepsis, for example, have been found to miss many instances of the disease and frequently issue false alarms. It's also true that gaining access to diverse, up-to-date medical data outside of free repositories for model testing hasn't been easy for organizations that aren't the size of, say, Google or Microsoft.But it's unwise to put too much stock into a platform like MedPerf where it concerns people's health. Benchmarks only tell part of the story, after all. Safely deploying medical models requires ongoing, thorough auditing on the part of vendors and their customers - not to mention researchers. The absence of such testing is nothing short of irresponsible.Yahoo!USPoliticsWorldCOVID-19Climate ChangeHealthScienceOriginalsContact UsTerms and Privacy PolicyYour Privacy ChoicesHelpShare your feedbackAbout UsAbout Our AdsSite mapFollow us ontwitterfacebookinstagramDownload our app© 2023 Yahoo. All rights reserved.
|
MLCommons launches a new platform to benchmark AI medical models
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MLCommons launches new platform benchmark AI medical modelsTechCrunchMLCommons launches new platform benchmark AI medical modelsKyle WiggersJuly 17, 2023 11:00 AM5 min readWith pandemic acting accelerant, healthcare industry embracing AI enthusiastically. According 2020 survey Optum, 80 healthcare organizations AI strategy place, 15 planning launch one.Vendors including Big Tech companies rising meet demand. Google recently unveiled MedPaLM 2, AI model designed answer medical questions insights medical texts. Elsewhere, startups like Hippocratic OpenEvidence developing models offer actionable advice clinicians field.But models tuned medical use cases come market, increasingly challenging know models perform advertised. Because medical models trained data limited, narrow clinical settings e.g. hospitals Eastern seaboard, biases certain patient populations, usually minorities leading harmful impacts real world.In effort establish reliable, trusted way benchmark evaluate medical models, MLCommons, engineering consortium focused building tools AI industry metrics, architected new testing platform called MedPerf. MedPerf, MLCommons says, evaluate AI models diverse realworld medical data protecting patient privacy.Our goal use benchmarking tool enhance medical AI, Alex Karargyris, cochair MLCommons Medical Working Group, spearheaded MedPerf, said press release. Neutral scientific testing models large diverse data sets improve effectiveness, reduce bias, build public trust support regulatory compliance.MedPerf, result twoyear collaboration led Medical Working Group, built input industry academia 20 companies 20 academic institutions gave feedback, according MLCommons. The Medical Working Groups members span big corps like Google, Amazon, IBM Intel universities Brigham Womens Hospital, Stanford MIT.In contrast MLCommons generalpurpose AI benchmarking suites, like MLPerf, MedPerf designed operators customers medical models healthcare organizations vendors. Hospitals clinics MedPerf platform assess AI models demand, employing federated evaluation remotely deploy models evaluate onpremises.MedPerf supports popular machine learning libraries addition private models models available API, like Epic Microsofts Azure OpenAI Services.MLCommons MedPerfAn illustration MedPerf platform works practice.In test earlier year, MedPerf hosted NIHfunded Federated Tumor Segmentation FeTS Challenge, large comparison models assessing postop treatment glioblastoma aggressive brain tumor. MedPerf supported testing 41 different models year, running onpremises cloud, 32 healthcare sites continents.According MLCommons, models showed reduced performance sites different patient demographics ones trained on, revealing biases contained within.Its exciting results MedPerfs medical AI pilot studies, models ran hospitals systems, leveraging preagreed data standards, sharing data, Renato Umeton, director AI operations DanaFarber Cancer Institute cochair MLCommons Medical Working Group, said statement. The results reinforce benchmarks federated evaluation step right direction inclusive AIenabled medicine.MLCommons sees MedPerf, limited evaluating radiology scananalyzing models present, foundational step mission accelerate medical AI open, neutral scientific approaches. Its calling AI researchers use platform validate models healthcare institutions data owners register patient data increase robustness MedPerfs testing.But writer wonders assuming MedPerf works advertised, isnt sure thing platform truly tackles intractable issues AI healthcare.A recent revealing report compiled researchers Duke University reveals massive gap marketing AI months years toil takes tech work right way. Often, report found, thedifficulty lies figuring incorporate tech daily routines doctors nurses complicated caredelivery technical systems surround them.Its new problem. In 2020, Google released surprisingly candid whitepaper detailed reasons AI screening tool diabetic retinopathy fell short reallife testing. The roadblocks didnt lie models necessarily, ways hospitals deployed equipment, internet connectivity strength patients responded AIassisted evaluation.Unsurprisingly, health care practitioners organizations mixed feelings AI healthcare. A poll Yahoo Finance 55 believe tech isnt ready use 26 believe trusted.Thats suggest medical model bias isnt real problem is, consequences. Systems like Epics identifying cases sepsis, example, miss instances disease frequently issue false alarms. Its true gaining access diverse, uptodate medical data outside free repositories model testing easy organizations arent size of, say, Google Microsoft.But unwise stock platform like MedPerf concerns peoples health. Benchmarks tell story, all. Safely deploying medical models requires ongoing, thorough auditing vendors customers mention researchers. The absence testing short irresponsible.YahooUSPoliticsWorldCOVID19Climate ChangeHealthScienceOriginals UsTerms Your Privacy ChoicesHelpShare feedbackAbout Our AdsSite mapFollow ontwitterfacebookinstagramDownload app 2023 Yahoo. .
| 2,023 |
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https://newsfinancialanalyst.com/artificial-intelligence-in-education-market-report-on-global-trends-2025/
| 2020-02-14T00:00:00 |
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Artificial Intelligence in Education Market – Report On Global Trends 2025 – Financial Analyst
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Artificial Intelligence in Education Market – Report On Global Trends 2025 – Financial Analyst
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Artificial Intelligence in Education Market – Report On Global Trends 2025
February 14, 2020 [email protected] Business Comments Off on Artificial Intelligence in Education Market – Report On Global Trends 2025
Global Artificial Intelligence in Education Market: Snapshot
The global artificial intelligence and education Market is significantly driven by the integration of intelligent algorithms as well as Advanced Technologies in to e-learning platforms. Education software, machine learning, and artificial intelligence are some of the Innovative learning models and Technologies change the rules and creating tremendous shift from the teaching methods.
These technologies have completely transformed with a classroom. The sophistication level has increased tremendously with the increasing adoption of artificial intelligence and machine learning algorithms. These Technologies are becoming extremely useful for developing user-friendly decision support systems and used in knowledge acquisition applications, language translation, and information retrieval.
Request Sample Copy of the Report @ https://www.tmrresearch.com/sample/sample?flag=B&rep_id=3461
The high adoption of cloud services among education institutes today is also creating a favorable environment for the artificial intelligence in education market. Higher education institutes, faculties, facilitators, Educators, and students in schools are increasingly making use of artificial intelligence and education so as to improve the overall learning experience as well as productivity.
The use of cloud services helps in the reduction of cost of ownership for educational Institutes and this helps them to offer high-quality Education Without much cost. Universities and schools are able to adopt cloud computing without having the need to upgrade the existing infrastructure with Advanced Technologies.
On the other hand, there are a few factors that will restrain the market from reaching its truest potential. One of the key challenges faced by the AI in education market is the resistance towards adopting latest technology by various schools. Many colleges and schools simply stick to orthodox ways of teaching. This will act as a challenge for the market.
Global Artificial Intelligence in Education Market: Overview
The report details an exhaustive account of the global artificial intelligence in education market along with numerous associated factors. The factors included in the report are drivers, restraints, competitive analysis, latest trends and opportunities, geographical outlook, and many other aspects. The study covered in the report spans a forecast period from 2017 to 2025. From an overall perspective, the report is expected to exist as a valuable insight to businesses which are already operating in the market, as well for those who intend to newly establish themselves in this environment.
The global artificial intelligence in education market is mainly segmented on the basis of technology, application, component, deployment mode, end user, and region. Under technology, machine learning and deep learning, and natural language processing are core segments comprising this market. Under application, virtual facilitators and learning environments, intelligent tutoring systems, content delivery systems, fraud and risk management, and others, are key segments present in the global artificial intelligence in education market.
By component, solutions and services are two main segments, which are further subdivided into other sub-segments that are explained in detail the report. On the basis of deployment mode, the global artificial intelligence market consists of two segments: cloud and on-premises. Lastly, under end-user criteria, the global artificial intelligence in education market is mainly segmented into educational publishers, and educational institutes.
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Global Artificial Intelligence in Education Market: Drivers
A dire need for highly efficient and automated services in terms of providing educational material is primarily responsible for driving this market. Such a need is relevant especially with respect to online education or distant learning, wherein a user needs to rely on modern devices for efficient communication. Favorable initiatives from various governments to spread educational awareness are also indirectly responsible for the global artificial intelligence in education market to experience widespread growth. A phenomenal progress in the development of computers as well as internet facilities has been primarily responsible for connecting people from all corners of the Earth, thus driving the global artificial intelligence education market.
Another factor propelling growth in this market involves the inability of students and scholars to not go overseas and learn their desired subject. This makes them consider the option of distant learning, which of course can be facilitated from an online perspective. As online learning brings in the factor of automated machines up to a certain extent, the market is expected to grow with leaps and bounds in future.
Global Artificial Intelligence in Education Market: Geographical Outlook
This market is mainly spread across North America, South America, the Middle East and Africa, Asia Pacific, and Europe. Presence of a strong educational infrastructure as well as technological stronghold in North America and Europe makes these regions grab lion’s shares in the global artificial intelligence in education market. Extensive advancements are occurring in these regions in the field of artificial intelligence, which has been notably contributing towards rapid progress in educational sector.
Read Comprehensive Overview of Report @ https://www.tmrresearch.com/artificial-intelligence-in-education-market
Global Artificial Intelligence in Education Market: Competitive Landscape
A highly competitive environment characterizes this market, mainly due to the presence of innumerable players. The competition is expected to intensify even further as new companies are projected to enter the vendor landscape of the global artificial intelligence in education market on a regular basis in future. Most players are focusing on including more services, bringing forth geographical expansions, and focusing on delivering quality educational content. Nuance Communications, IBM, Querium Corporation, Century-Tech, DreamBox Learning, Fishtree, ALEKS, Knewton, Metacog, Google, AWS, Cognizant, Bridge-U, Cognii, Blackboard, Elemental Path, Jellynote, Liulishuo, Carnegie Learning, Osmo, Pearson, Microsoft, Third Space Learning, Jenzabar, and Quantum Adaptive Learning, are key players operating in the global artificial intelligence in education market.
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Artificial Intelligence in Education Market
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Artificial Intelligence Education Market Report On Global Trends 2025 Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Artificial Intelligence Education Market Report On Global Trends 2025 February 14, 2020 [emailprotected] Business Comments Off Artificial Intelligence Education Market Report On Global Trends 2025 Global Artificial Intelligence Education Market: Snapshot The global artificial intelligence education Market significantly driven integration intelligent algorithms Advanced Technologies elearning platforms. Education software, machine learning, artificial intelligence Innovative learning models Technologies change rules creating tremendous shift teaching methods. These technologies completely transformed classroom. The sophistication level increased tremendously increasing adoption artificial intelligence machine learning algorithms. These Technologies extremely useful developing userfriendly decision support systems knowledge acquisition applications, language translation, information retrieval. Request Sample Copy Report @ The high adoption cloud services education institutes today creating favorable environment artificial intelligence education market. Higher education institutes, faculties, facilitators, Educators, students schools increasingly making use artificial intelligence education improve overall learning experience productivity. The use cloud services helps reduction cost ownership educational Institutes helps offer highquality Education Without cost. Universities schools able adopt cloud computing need upgrade existing infrastructure Advanced Technologies. On hand, factors restrain market reaching truest potential. One key challenges faced AI education market resistance adopting latest technology schools. Many colleges schools simply stick orthodox ways teaching. This act challenge market. Global Artificial Intelligence Education Market: Overview The report details exhaustive account global artificial intelligence education market numerous associated factors. The factors included report drivers, restraints, competitive analysis, latest trends opportunities, geographical outlook, aspects. The study covered report spans forecast period 2017 2025. From overall perspective, report expected exist valuable insight businesses operating market, intend newly establish environment. The global artificial intelligence education market mainly segmented basis technology, application, component, deployment mode, end user, region. Under technology, machine learning deep learning, natural language processing core segments comprising market. Under application, virtual facilitators learning environments, intelligent tutoring systems, content delivery systems, fraud risk management, others, key segments present global artificial intelligence education market. By component, solutions services main segments, subdivided subsegments explained report. On basis deployment mode, global artificial intelligence market consists segments: cloud onpremises. Lastly, enduser criteria, global artificial intelligence education market mainly segmented educational publishers, educational institutes. Request TOC Report @ Global Artificial Intelligence Education Market: Drivers A dire need highly efficient automated services terms providing educational material primarily responsible driving market. Such need relevant especially respect online education distant learning, user needs rely modern devices efficient communication. Favorable initiatives governments spread educational awareness indirectly responsible global artificial intelligence education market experience widespread growth. A phenomenal progress development computers internet facilities primarily responsible connecting people corners Earth, driving global artificial intelligence education market. Another factor propelling growth market involves inability students scholars overseas learn desired subject. This makes consider option distant learning, course facilitated online perspective. As online learning brings factor automated machines certain extent, market expected grow leaps bounds future. Global Artificial Intelligence Education Market: Geographical Outlook This market mainly spread North America, South America, Middle East Africa, Asia Pacific, Europe. Presence strong educational infrastructure technological stronghold North America Europe makes regions grab lions shares global artificial intelligence education market. Extensive advancements occurring regions field artificial intelligence, notably contributing rapid progress educational sector. Read Comprehensive Overview Report @ Global Artificial Intelligence Education Market: Competitive Landscape A highly competitive environment characterizes market, mainly presence innumerable players. The competition expected intensify new companies projected enter vendor landscape global artificial intelligence education market regular basis future. Most players focusing including services, bringing forth geographical expansions, focusing delivering quality educational content. Nuance Communications, IBM, Querium Corporation, CenturyTech, DreamBox Learning, Fishtree, ALEKS, Knewton, Metacog, Google, AWS, Cognizant, BridgeU, Cognii, Blackboard, Elemental Path, Jellynote, Liulishuo, Carnegie Learning, Osmo, Pearson, Microsoft, Third Space Learning, Jenzabar, Quantum Adaptive Learning, key players operating global artificial intelligence education market. About TMR Research TMR Research premier provider customized market research consulting services business entities keen succeeding todays supercharged economic climate. Armed experienced, dedicated, dynamic team analysts, redefining way clients conduct business providing authoritative trusted research studies tune latest methodologies market trends. : TMR Research, 3739 Balboa St 1097, San Francisco, CA 94121 United States Tel: 14155201050 Email:[emailprotected] [emailprotected] Post Views: 84 Artificial Intelligence Education Market Post navigation Previous Post:Botnet Detection Market Overview On Demanding Applications 2025Next Post:Water Taxi Market Global Industry Need Assessment 2025 Popular Global Color Cosmetics Market 2019: Key Players, Trends, Sale, Demand, Segmentation, Opportunities Forecast To 2024 Dental Cements Market Global Industry Analysis, Size, Share, Growth, Trends Forecast 2018 2025 Global Caustic Soda 2019 Market Share, Trends, Segmentation Forecast To 2025 Dental Instrument Trays Market Report Competitors Their Respective Market Share, RandD Status Future Projections 2024 Global Window Regulator Market Company Coverage Brose, Valeo, Magna Closures, Aisin, HiLex, Lames Global Medical Clinic Furnitures: Market Share, Strategies, Segmentation And Forecasts 2019 To 2025 Cold Drinks Market 2019: Global Key Players, Trends, Sale, Segmentation, Opportunities, Forecast To 2023 Global Hadoop Market 2018 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast To 2024 Oct 29, 2018 1:07 PM ET Aluminum Building Profiles Market Global Industry Analysis, Size, Share, Growth, Trends Forecast 2018 2025 Oct 29, 2018 12:55 PM ET Life Science Analytics Market Global Industry Analysis, Size, Share, Growth, Trends Forecast 2018 2023 Pipelay Vessel Market 2019 Global Industry Key Players, Size, Trends, Opportunities, Growth Analysis Forecast 2024 Oct 29, 2018 12:38 PM ET Cell Lysis Market Global Industry Analysis, Size, Share, Growth, Trends Forecast 2018 2023 Cannabidiol Oil CBD Oil Market 2019 Global Sales,Price,Revenue,Gross Margin Market Share Global Augmented Reality Software : Market Share, Strategies, Segmentation And Forecasts 2019 To 2025 Oct 29, 2018 12:17 PM ET Biometrics Education 2018 Global Market Key Players BIOkey, BioLink Solutions, BioStore, Capture Innovative Solutions, SMI Global Analysis Forecast 2023 World Gazette hc Powered WordPress Tortuga.
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] | 1 | 3,103 |
https://newsghana.com.gh/google-to-make-its-rival-to-chatgpt-widely-available/
| 2023-03-16T00:00:00 |
en
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Google to make its rival to ChatGPT widely available | News Ghana
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Google to make its rival to ChatGPT widely available | News Ghana
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Home Science Technology Google to make its rival to ChatGPT widely available
ScienceTechnology
Google to make its rival to ChatGPT widely available
By techfocus24 - March 16, 2023 0
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Google
Google has promised to offer API-level access to its large language model PaLM so that developers can build it into their apps and workflows, and thus make the ChatGPT-like text-emitting tech available to world-plus-dog.
The web giant is also threatening to bake the model’s content-generating capabilities into Google Docs, Gmail, and more.
The generative AI hype is stirring the technology industry into a frenzy. Investors are throwing cash at startups, while Big Tech scrambles to roll out products and services powered by these models. Everyone has to be seen to have skin in the game if they’re to be considered successful and cutting edge.
Microsoft kicked off a fierce competition with Google when it decided to revamp Bing to include a web-based OpenAI-powered chatbot that answers search queries, and now the Gmail giant is fighting back – or playing catch up, depending on how you look at it.
On Tuesday, Google unveiled its PaLM API, opening up its text-generating large language model to developers looking to boost their applications with auto-generated machine-made writing and other stuff. It’s capable of summarizing and classifying text, acting as a support chat bot that interacts with folks on behalf of your organization, and other things, just like the other APIs out there from OpenAI, Cohere, and AI21 Labs.
“As we’ve experimented with generative AI ourselves, one thing is clear: AI is no replacement for the ingenuity, creativity, and smarts of real people,” said Johanna Voolich Wright, veep of product at Google Workspace, today.
“Sometimes the AI gets things wrong, sometimes it delights you with something offbeat, and oftentimes it requires guidance.”
PaLM API also comes with MakerSuite, a tool that allows developers to experiment with the model by trying different prompts to fine-tune the model’s output. These software services are available to a select few, however, for the moment: Google is gradually rolling them out.
The internet goliath promises that general users can look forward to eventually being able to automatically generate email drafts and replies, as well as summarize text. Images, audio, and video created using the AI engine will be available to add to Slides, whilst better autocomplete is coming to Sheets. New backgrounds and note-generating features are also coming to Meet.
Although Google was at the forefront of AI research, it has been criticized for being slow at commercializing its models for developers and netizens to generally use. On the other hand, Microsoft, powered by OpenAI’s technology, is rushing to integrate next-level machine-learning code into its products – such as the super-hyped ChatGPT into Azure, or that chat bot in Bing – even if they don’t always work as intended or get details disastrously wrong.
Microsoft has been steadily deploying AI-powered features for its Office 365 products, and is set to announce further capabilities for its workspace messaging software Teams, Word, and email Outlook this week in a March 16 event titled “the future of work with AI.”
Also today, OpenAI teased GPT-4, and Anthropic is said to be readying a rival called Claude. We’re told that the overhauled Bing search engine uses a customized GPT-4.
Millions of people now have access to the OpenAI-flavored Bing, we note, all while Microsoft continues to tinker with the model and adjust the limits and guardrails on how users can interact with the chatbot.
Google’s upcoming rival Bard model is still under wraps for now. If Microsoft does make its upcoming AI-writing tools for Word or Outlook available for general use sooner rather than later, Google will be one step behind yet again. You might fault Google for being overly cautious, or you might feel some relief that it’s going slow with this powerful, unpredictable and at times questionable technology.
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The web giant threatening bake models contentgenerating capabilities Google Docs, Gmail, more. The generative AI hype stirring technology industry frenzy. Investors throwing cash startups, Big Tech scrambles roll products services powered models.Everyone seen skin game theyre considered successful cutting edge. Microsoft kicked fierce competition Google decided revamp Bing include webbased OpenAIpowered chatbot answers search queries, Gmail giant fighting playing catch up, depending look it. On Tuesday, Google unveiled PaLM API, opening textgenerating large language model developers looking boost applications autogenerated machinemade writing stuff. Its capable summarizing classifying text, acting support chat bot interacts folks behalf organization, things, like APIs OpenAI, Cohere, AI21 Labs. As weve experimented generative AI ourselves, thing clear: AI replacement ingenuity, creativity, smarts real people, said Johanna Voolich Wright, veep product Google Workspace, today. Sometimes AI gets things wrong, delights offbeat, oftentimes requires guidance. PaLM API comes MakerSuite, tool allows developers experiment model trying different prompts finetune models output. These software services available select few, however, moment: Google gradually rolling out. The internet goliath promises general users look forward eventually able automatically generate email drafts replies, summarize text. Images, audio, video created AI engine available add Slides, whilst better autocomplete coming Sheets. New backgrounds notegenerating features coming Meet. Although Google forefront AI research, criticized slow commercializing models developers netizens generally use. On hand, Microsoft, powered OpenAIs technology, rushing integrate nextlevel machinelearning code products superhyped ChatGPT Azure, chat bot Bing dont work intended details disastrously wrong. Microsoft steadily deploying AIpowered features Office 365 products, set announce capabilities workspace messaging software Teams, Word, email Outlook week March 16 event titled future work AI. Also today, OpenAI teased GPT4, Anthropic said readying rival called Claude. Were told overhauled Bing search engine uses customized GPT4. Millions people access OpenAIflavored Bing, note, Microsoft continues tinker model adjust limits guardrails users interact chatbot. Googles upcoming rival Bard model wraps now. If Microsoft upcoming AIwriting tools Word Outlook available general use sooner later, Google step again. You fault Google overly cautious, feel relief going slow powerful, unpredictable times questionable technology. Send news stories newsghana101 Follow News Ghana Google News TAGSAPIsappsChatGPTGoogle FacebookTwitterPinterestWhatsApp Previous articleMTN Nigeria raises US271 million OPEXNext articleChatGPT Bing AI panelists FinTech conference techfocus24 tells whats new tech science Ghana elsewhere, matters, works need. Our team works 247 explore explain changing world impact Ghanaians particular Africans extension. Our audience depend TechFocus24 news, commentary, analysis, features, FAQs, advice, handson reviews, buying guides, fun informative content. We provide avenue share views opinion tech services products based experience. RELATED ARTICLESMORE FROM AUTHOR Google Covertly Hires Law Firm Examine Its Civil Rights Policies Ericsson cut 8,500 jobs ChatGPT: What cybersecurity dangers lurk impressive new technology? 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] | 1 | 3,104 |
https://newslanes.com/2022/12/09/nih-funds-illinois-tech-project-using-machine-learning-to-fully/
| 2022-12-09T00:00:00 |
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NIH Funds Illinois Tech Project Using Machine Learning To Fully
|
NIH Funds Illinois Tech Project Using Machine Learning To Fully
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NIH funds Illinois Tech project using machine learning to fully
Post author
By Google News
Post date
December 9, 2022
No Comments on NIH funds Illinois Tech project using machine learning to fully
[Image courtesy of Illinois Tech]
Researchers at Illinois Tech received $1.2 million from the NIH to develop a machine learning system for an artificial pancreas’ insulin delivery.
Professor of chemical engineering Ali Cinar leads the project aimed at easing the burden on those with type 1 diabetes. NIH funding covers for years for developing the machine learning system. The researchers aim to integrate it into Cinar’s artificial pancreas system to enhance accuracy.
Get the full story at our sister site, Drug Delivery Business News.
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NIH Funds Illinois Tech Project Using Machine Learning To Fully
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NIH Funds Illinois Tech Project Using Machine Learning To Fully 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 NIH funds Illinois Tech project machine learning fully Post author By Google News Post date December 9, 2022 No Comments NIH funds Illinois Tech project machine learning fully [Image courtesy Illinois Tech] Researchers Illinois Tech received 1.2 million NIH develop machine learning artificial pancreas insulin delivery. Professor chemical engineering Ali Cinar leads project aimed easing burden type 1 diabetes. NIH funding covers years developing machine learning system. The researchers aim integrate Cinars artificial pancreas enhance accuracy. Get story sister site, Drug Delivery Business News. Source link Share this:TweetPrintTelegram Related By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive Why These Actors Were Uncomfortable Filming Certain Movies Scenes Artificial Intelligence Technology improves Greater Anglias 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://newslanes.com/2022/12/27/comic-created-via-artificial-intelligence-gets-copyright-revoked/
| 2022-12-27T00:00:00 |
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Comic Created Via Artificial Intelligence Gets Copyright Revoked
|
Comic Created Via Artificial Intelligence Gets Copyright Revoked
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Comic Created via Artificial Intelligence Gets Copyright Revoked
Post author
By Google News
Post date
December 27, 2022
No Comments on Comic Created via Artificial Intelligence Gets Copyright Revoked
Comic Created via Artificial Intelligence Gets Copyright Revoked
A comic made with Artificial Intelligence (AI) doesn’t qualify for copyright protections? According to this report by the India Times, that is the case for a comic titled “Zarya of the Dawn“:
The US Copyright Office (USCO) has reversed the granting of a copyright to a comic book which was created using AI, reveals a report by CBR.
The USCO has asked for revocation of copyright protection on the comic book on the basis of the fact that copyrighted works must be created by humans to gain copyright protection.
Kris Kashtanova received the US copyright for the comic book Zarya of the Dawn sometime in September. The book was inspired by their late grandmother that she created with the text-to-image engine Midjourney. […]
However, recently, Krish Kashtanova on her Facebook page revealed that the USCO had communicated with her to tell her that they were revoking the protection, stating it was due to an error that they missed the fact that Midjourney had created the comic book’s art.
This technology is new to me, but it is admittedly a shame if the author couldn’t secure a copyright based on how AI was employed for developing the art in the book. What it could suggest is that, sometimes it helps to be able to have knowledge of illustrating with one’s own hand, whether on a drawing easel or on a computer screen, rather than to rely entirely on technology to do the job for you.
That way, you can make sure you’re in control of your own destiny much more easily.
Originally published here.
Avi Green
Avi Green was born in Pennsylvania in 1974, and moved to Israel in 1983. He enjoyed reading comics when he was young, the first being Fantastic Four. He maintains a strong belief in the public’s right to knowledge and accuracy of facts. He considers himself a conservative-style version of Clark Kent. Follow him on his blog at Four Color Media Monitor or on Twitter at @avigreen1
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Comic Created Via Artificial Intelligence Gets Copyright Revoked
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Comic Created Via Artificial Intelligence Gets Revoked Skip content NewslanesThe News Hub Menu PR Business Crypto Celebrities Gaming Entertainment More Automotive Covid19 Pets Tech Sports for: Close search Close Menu PR Business Crypto Celebrities Gaming Entertainment MoreShow sub menu Automotive Covid19 Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology Comic Created Artificial Intelligence Gets Revoked Post author By Google News Post date December 27, 2022 No Comments Comic Created Artificial Intelligence Gets Revoked Comic Created Artificial Intelligence Gets Revoked A comic Artificial Intelligence AI doesnt qualify copyright protections? According report India Times, case comic titled Zarya Dawn: The US Office USCOhas reversed granting copyright comic book created AI, reveals report CBR. The USCO asked revocation copyright protection comic book basis fact copyrighted worksmust created humans gain copyright protection. Kris Kashtanova received US copyright comic book Zarya Dawn September. The bookwas inspired late grandmotherthat createdwith texttoimage engine Midjourney. [] However, recently, Krish Kashtanova Facebook revealed USCO communicated tell herthat revoking protection, stating error missed fact Midjourney created comic books art. This technology new me, admittedly shame author secure copyright based AI employed developing art book. What suggest that, helps able knowledge illustrating ones hand, drawing easel screen, rely entirely technology job you. That way, sure youre control destiny easily. Originally published here. Avi Green Avi Green born Pennsylvania 1974, moved Israel 1983. He enjoyed reading comics young, Fantastic Four. He maintains strong belief publics right knowledge accuracy facts. He considers conservativestyle version Clark Kent. Follow blog Four Color Media Monitor Twitter Source link Tags Artificial, Comic, copyright, created, intelligence, revoked By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive ML.NET 2.0 Release Contains New NLP APIs AutoML Updates Apples Next iPad Mini Is Works, Analyst Says 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 We influence 20 million users number business technology news network planet 2022 Newslanes Privacy Powered WordPress To Up
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] | 1 | 3,106 |
https://nextbigwhat.com/geoffrey-hinton-raises-concerns-over-unchecked-ai-development-and-its-potential-consequences/
| 2023-07-01T00:00:00 |
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|
Geoffrey Hinton Raises Concerns Over Unchecked AI Development and Its Potential Consequences
|
Geoffrey Hinton Raises Concerns Over Unchecked AI Development and Its Potential Consequences
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Home Geoffrey Hinton Raises Concerns Over Unchecked AI Development and Its Potential Consequences
Geoffrey Hinton Raises Concerns Over Unchecked AI Development and Its Potential Consequences
AI pioneer Geoffrey Hinton aired concerns over unchecked development of AI, pointing out possible ethical issues and the potential for misuse, potentially exacerbating the wealth gap.
Hinton warns of varying risks, including the danger of AI superseding human control, spreading misinformation, and creating algorithmic echo chambers that reinforce faulty information.
Despite the concerns, Hinton maintains his enthusiasm for AI, acknowledging its potential benefits like climate change action, increased productivity and advancements in sectors like language models, but emphasising the need for careful oversight and ethical regulation.
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Geoffrey Hinton Raises Concerns Over Unchecked AI Development and Its Potential Consequences
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Geoffrey Hinton Raises Concerns Over Unchecked AI Development Its Potential Consequences nextbigwhat AI News Hiring Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories nextbigwhat heart startups AI News Hiring Submit Your Product Upcoming Products Submit story press release Free Book Summaries Stories for: Home Geoffrey Hinton Raises Concerns Over Unchecked AI Development Its Potential Consequences Geoffrey Hinton Raises Concerns Over Unchecked AI Development Its Potential Consequences AI pioneer Geoffrey Hinton aired concerns unchecked development AI, pointing possible ethical issues potential misuse, potentially exacerbating wealth gap. Hinton warns varying risks, including danger AI superseding human control, spreading misinformation, creating algorithmic echo chambers reinforce faulty information. Despite concerns, Hinton maintains enthusiasm AI, acknowledging potential benefits like climate change action, increased productivity advancements sectors like language models, emphasising need careful oversight ethical regulation. 0 0 0 Share 0 Tweet 0 Share 0 Via Sign Up nextbigwhat newsletter The smartest newsletter, partly written AI. Download Pluggd.in, short news app busy professionals Newsletter Email address: Leave field youre human: AI News Hiring Submit Your Product Free Book Summaries Stories nextbigwhat build. grow. repeat.
| 2,023 |
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https://openai.com/careers/software-engineer-chatgpt-product-development
| 2023-06-01T00:00:00 |
en
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Software Engineer, ChatGPT Product Development
|
Software Engineer, ChatGPT Product Development
CloseSearch Submit Skip to main contentSite NavigationResearchOverviewIndexProductOverviewChatGPTGPT-4DALL·E 2Customer storiesSafety standardsPricingDevelopersOverviewDocumentationAPI referenceExamplesSafetyCompanyAboutBlogCareersCharterSecuritySearch Navigation quick links Log inSign upMenu Mobile Navigation CloseSite NavigationResearchProductDevelopersSafetyCompany Quick Links Log inSign upSearch Submit Software Engineer, ChatGPT Product DevelopmentSan Francisco, California, United States — Applied AI EngineeringApply nowAbout the TeamWe bring OpenAI's technology to the world, with a focus on ChatGPT and the ways to make it more useful.About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Users of ChatGPT include everyday enthusiasts as well as professionals — you’ll interface directly with users to develop the features they want most! You will also collaborate closely with the core research team that created the ChatGPT model and work with them to continually improve it. You will be a core part of the effort to push these technologies forward, and onto the next 100x users. In this role, you will:Own the development of new customer-facing ChatGPT features and product experiences end-to-endTalk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest modelsCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYour background looks something like:5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.Benefits and PerksMedical, dental, and vision insurance for you and your familyMental health and wellness support401(k) plan with 4% matchingUnlimited time off and 18+ company holidays per yearPaid parental leave (20 weeks) and family-planning supportAnnual learning & development stipend ($1,500 per year)We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI US Applicant Privacy Policy OpenAI UK Applicant Privacy PolicyApply nowResearchOverviewIndexProductOverviewGPT-4DALL·E 2Customer storiesSafety standardsPricingSafetyOverviewCompanyAboutBlogCareersCharterSecurityOpenAI © 2015 – 2023Terms & policiesPrivacy policyBrand guidelinesSocialTwitterYouTubeGitHubSoundCloudLinkedInBack to top
|
Software Engineer, ChatGPT Product Development
|
Software Engineer, ChatGPT Product Development Close Submit Skip main contentSite NavigationResearchOverviewIndexProductOverviewChatGPTGPT4DALLE 2Customer storiesSafety standardsPricingDevelopersOverviewDocumentationAPI referenceExamplesSafetyCompanyAboutBlogCareersCharterSecurity Navigation quick links Log inSign upMenu Mobile Navigation CloseSite NavigationResearchProductDevelopersSafetyCompany Quick Links Log inSign Submit Software Engineer, ChatGPT Product DevelopmentSan Francisco, California, United States Applied AI EngineeringApply nowAbout TeamWe bring OpenAIs technology world, focus ChatGPT ways useful.About RoleWe looking selfstarter engineer loves building new products iterative fastmoving environment. In role, bringing large language models millions users world. Users ChatGPT include everyday enthusiasts professionals youll interface directly users develop features want You collaborate closely core research team created ChatGPT model work continually improve it. You core effort push technologies forward, 100x users.In role, will:Own development new customerfacing ChatGPT features product experiences endtoendTalk users understand problems design solutions address themWork research team relevant feedback iterate latest modelsCollaborate crossfunctional team engineers, researchers, product managers, designers, operations folks create cuttingedge productsOptimize applications speed scaleYour background looks like:5 years relevant engineering experience tech productdriven companiesProficiency JavaScript, React, web technologiesProficiency backend language use PythonSome experience relational databases like PostgresMySQLInterest AIML direct experience requiredAbility fast environment things loosely defined competing priorities deadlinesAbout OpenAIOpenAI AI research deployment company dedicated ensuring generalpurpose artificial intelligence benefits humanity. We push boundaries capabilities AI systems seek safely deploy world products. AI extremely powerful tool created safety human needs core, achieve mission, encompass value different perspectives, voices, experiences form spectrum humanity. At OpenAI, believe artificial intelligence potential help people solve immense global challenges, want upside AI widely shared. Join shaping future technology.Benefits PerksMedical, dental, vision insurance familyMental health wellness support401k plan 4 matchingUnlimited time 18 company holidays yearPaid parental leave 20 weeks familyplanning supportAnnual learning development stipend 1,500 yearWe equal opportunity employer discriminate basis race, religion, national origin, gender, sexual orientation, age, veteran status, disability legally protected statuses. Pursuant San Francisco Fair Chance Ordinance, consider qualified applicants arrest conviction records.We committed providing reasonable accommodations applicants disabilities, requests link.OpenAI US Applicant OpenAI UK Applicant Apply nowResearchOverviewIndexProductOverviewGPT4DALLE 2Customer storiesSafety standardsPricingSafetyOverviewCompanyAboutBlogCareersCharterSecurityOpenAI 20152023Terms policiesPrivacy policyBrand guidelinesSocialTwitterYouTubeGitHubSoundCloudLinkedInBack
| 2,023 |
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https://order-order.com/2020/04/28/data-scientists-predict-uk-virus-first-wave-end-may/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+guidofawkes+%28Guy+Fawkes%27+blog+of+parliamentary+plots%2C+rumours+and+conspiracy%29
| 2020-04-28T00:00:00 |
en
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Data Scientists Predict UK Virus First Wave Over End of May - Guido Fawkes
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Data Scientists Predict UK Virus First Wave Over End of May - Guido Fawkes
Data Scientists Predict UK Virus First Wave Over End of May
Based on publicly available data, scientists from the Singapore University of Technology and Design’s Data-Driven Innovation Lab are predicting the course of COVID-19 developments as a complement to monitoring confirmed cases. They are forecasting that the UK’s first wave will, in this instance, see 97% of the total expected epidemic cases realised by May 17 and 99% by May 30. According to their model the UK was a week behind Italy, 2 weeks behind Germany and a day in front of the USA…
*Their SIR (susceptible-infected-recovered) model is regressed with data from different countries to estimate the pandemic life cycle curves and predict when the pandemic might end in respective countries and the world, with codes from Milan Batista and data from Our World in Data. Given the rapidly changing situations, the predictive monitors are updated daily with the latest data. Motivation, theory, method, and caution are in this paper.
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Coronavirus
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mdi-timer April 28 2020 @ 15:44
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Data Scientists Predict UK Virus First Wave Over End of May
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Data Scientists Predict UK Virus First Wave Over End May Guido Fawkes Data Scientists Predict UK Virus First Wave Over End May Based publicly available data, scientists Singapore University Technology Designs DataDriven Innovation Lab predicting course COVID19 developments complement monitoring confirmed cases. They forecasting UKs wave will, instance, 97 total expected epidemic cases realised May 17 99 May 30. According model UK week Italy, 2 weeks Germany day USA Their SIR susceptibleinfectedrecovered model regressed data different countries estimate pandemic life cycle curves predict pandemic end respective countries world, codes Milan Batista data Our World Data. Given rapidly changing situations, predictive monitors updated daily latest data. Motivation, theory, method, caution paper. mditagoutline Coronavirus Data Journalism mditimer April 28 2020 @ 15:44 mdisharevariant mditwitter mdifacebook mdiwhatsapp mditelegram mdilinkedin mdiemail mdiprinter Home Page Next Story
| 2,020 |
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https://orissadiary.com/astrazeneca-together-with-health-tech-startup-tricog-rolls-out-project-heart-beat-in-india-aims-to-reduce-heart-failure-mortality-by-using-ai-for-early-accurate-diagnosis-and-ti/
| 2021-09-28T00:00:00 |
en
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AstraZeneca together with Health-Tech Startup Tricog, rolls out ‘Project Heart Beat’ in India; aims to reduce heart failure mortality by using AI for early & accurate diagnosis, and timely intervention | Odisha News | Odisha Breaking News | Latest Odisha News
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AstraZeneca together with Health-Tech Startup Tricog, rolls out ‘Project Heart Beat’ in India; aims to reduce heart failure mortality by using AI for early & accurate diagnosis, and timely intervention | Odisha News | Odisha Breaking News | Latest Odisha News
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AstraZeneca together with Health-Tech Startup Tricog, rolls out ‘Project Heart Beat’ in India; aims to reduce heart failure mortality by using AI for early & accurate diagnosis, and timely intervention
September 28, 2021
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Mumbai: AstraZeneca India (AstraZeneca Pharma India Limited), a leading science-led biopharmaceutical company, together with health-tech startup, Tricog, rolled out a programme called ‘Project Heart Beat’, which is focused on early and accurate diagnosis of Heart Attack patients, thereby reducing the mortality rates. It is currently deployed in tier 1, 2 towns and villages that lack in access to quality healthcare. This project addresses the unmet need for early diagnosis and intervention for patients with suspected heart attack by enabling cloud-based artificial intelligence (AI) supported interpretation of electrocardiograms (ECGs), routing patients to the nearest Cath Labs or fibrinolysis centres, thereby ensuring accurate diagnosis & timely treatment and ultimately improving patient outcomes.
This initiative also aims to upskill the physicians and technicians at the primary & secondary care centers to better manage Heart Attack patients, by following the guideline recommended ACS (Acute Coronary Syndrome) treatment protocols and early referral to the tertiary care centers for better treatment outcomes.
Commenting on the successful rollout of Project Heart Beat, Gagan Singh Bedi, Managing Director – AstraZeneca India, said, “With regards to heart attacks and its treatment, early diagnosis and timely treatment is the key. As the young population is also prone to heart attack these days, it is vital that we arrange facilities for early diagnosis and treatment in rural parts of the country, as they don’t have easy access to modern healthcare facilities. The key objectives of this programme include early and accurate diagnosis of MI patients, reducing the door to balloon time / needle time, and making necessary drugs available at the primary care centres. Through this program, we have already touched the lives of more than 13,000 patients and resulted in the early identification of abnormal ECGs that were referred to their respective tertiary care hospitals to further aid in effective disease management.”
For this campaign, AstraZeneca has deployed a Hub & Spoke model, partnering with a Bengaluru-based startup Tricog Health. Currently there are 8 Tertiary care centers (Hubs) connected to 39 primary/ secondary care centers (spokes), where a 12-lead ECG machines with a communicator device has been deployed. The device sends the ECG readings to the cloud in real-time, where artificial intelligence (AI) algorithms interprets the data, which is reviewed and finalised by a trained medical practitioner, and the response is relayed back to the primary/ secondary care center as well as the tertiary care center in less than 10 minutes.
Commenting on this initiative, Dr Charit Bograj, CEO, Tricog, said, “We are glad to partner with AstraZeneca for this project as this is for something which impacts the lives of many Indians. India has one of the highest burdens of cardiovascular disease (CVD) worldwide. Data by the Indian Council of Medical Research indicates that it takes more than six hours to reach a hospital in more than half the cases of heart attacks, and unfortunately, many are losing their loved ones due to the delay in diagnosis and treatment. Here we are trying to bridge this gap.”
Currently, Project Heart Beat has eight major hubs with all facilities to treat heart attack patients in India. To name a few, Sanjeevan Medical Center, Karad- Maharashtra, Metro heart, Faridabad -Delhi NCR, Spandan hospital,Bhopal -Madhyapradesh, CKS hospital, Jaipur-Rajasthan, Lifeline hospital, Thane -Maharasthra, B K L Walawalakar Rural Medical College, Kasarwadi- Maharashtra, with a plan to expand the initiative across India in the coming months.
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AstraZeneca together with Health-Tech Startup Tricog, rolls out ‘Project Heart Beat’ in India; aims to reduce heart failure mortality by using AI for early & accurate diagnosis, and timely intervention
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AstraZeneca HealthTech Startup Tricog, rolls Project Heart Beat India; aims reduce heart failure mortality AI early accurate diagnosis, timely intervention Odisha News Odisha Breaking News Latest Odisha News Home Top Stories National Sports Business Districts Angul Balangir Balasore Bargarh Bhadrak Boudh Cuttack Debagarh Dhenkanal Gajapati Ganjam Jagatsinghapur Jajpur Jharsuguda Kalahandi Kandhamal Kendrapara Kendujhar Khordha Koraput Malkangiri Mayurbhanj Nabarangpur Nayagarh Nuapada Puri Rayagada Sambalpur Subarnapur Sundergarh CITY Anugul Town Baripada Berhampur Bhawanipatna Bhubaneswar Cuttack Dhenkanal Town Jharsuguda Kalinga Nagar Paradip Paralakhemundi Puri Rourkela Sambalpur Sunabeda Talcher NRO Columns Sign WelcomeLog account username password Password recovery Recover password email Sign Welcome Log account username password Password recovery Recover password email Odisha Diary Odisha Breaking News Latest Odisha News Odisha News Odisha Breaking News Latest Odisha News Home Top Stories National Sports Business Districts Angul Balangir Balasore Bargarh Bhadrak Boudh Cuttack Debagarh Dhenkanal Gajapati Ganjam Jagatsinghapur Jajpur Jharsuguda Kalahandi Kandhamal Kendrapara Kendujhar Khordha Koraput Malkangiri Mayurbhanj Nabarangpur Nayagarh Nuapada Puri Rayagada Sambalpur Subarnapur Sundergarh CITY Anugul Town Baripada Berhampur Bhawanipatna Bhubaneswar Cuttack Dhenkanal Town Jharsuguda Kalinga Nagar Paradip Paralakhemundi Puri Rourkela Sambalpur Sunabeda Talcher NRO Columns National AstraZeneca HealthTech Startup Tricog, rolls Project Heart Beat India; aims reduce heart failure mortality AI early accurate diagnosis, timely intervention September 28, 2021 Facebook Twitter Pinterest WhatsApp Mumbai: AstraZeneca India AstraZeneca Pharma India Limited, leading scienceled biopharmaceutical company, healthtech startup, Tricog, rolled programme called Project Heart Beat, focused early accurate diagnosis Heart Attack patients, reducing mortality rates. It currently deployed tier 1, 2 towns villages lack access quality healthcare. This project addresses unmet need early diagnosis intervention patients suspected heart attack enabling cloudbased artificial intelligence AI supported interpretation electrocardiograms ECGs, routing patients nearest Cath Labs fibrinolysis centres, ensuring accurate diagnosis timely treatment ultimately improving patient outcomes. This initiative aims upskill physicians technicians primary secondary care centers better manage Heart Attack patients, following guideline recommended ACS Acute Coronary Syndrome treatment protocols early referral tertiary care centers better treatment outcomes. Commenting successful rollout Project Heart Beat, Gagan Singh Bedi, Managing Director AstraZeneca India, said, With regards heart attacks treatment, early diagnosis timely treatment key. As young population prone heart attack days, vital arrange facilities early diagnosis treatment rural parts country, dont easy access modern healthcare facilities. The key objectives programme include early accurate diagnosis MI patients, reducing door balloon time needle time, making necessary drugs available primary care centres. Through program, touched lives 13,000 patients resulted early identification abnormal ECGs referred respective tertiary care hospitals aid effective disease management. For campaign, AstraZeneca deployed Hub Spoke model, partnering Bengalurubased startup Tricog Health. Currently 8 Tertiary care centers Hubs connected 39 primary secondary care centers spokes, 12lead ECG machines communicator device deployed. The device sends ECG readings cloud realtime, artificial intelligence AI algorithms interprets data, reviewed finalised trained medical practitioner, response relayed primary secondary care center tertiary care center 10 minutes. Commenting initiative, Dr Charit Bograj, CEO, Tricog, said, We glad partner AstraZeneca project impacts lives Indians. India highest burdens cardiovascular disease CVD worldwide. Data Indian Council Medical Research indicates takes hours reach hospital half cases heart attacks, unfortunately, losing loved ones delay diagnosis treatment. Here trying bridge gap. Currently, Project Heart Beat major hubs facilities treat heart attack patients India. To few, Sanjeevan Medical Center, Karad Maharashtra, Metro heart, Faridabad Delhi NCR, Spandan hospital,Bhopal Madhyapradesh, CKS hospital, JaipurRajasthan, Lifeline hospital, Thane Maharasthra, B K L Walawalakar Rural Medical College, Kasarwadi Maharashtra, plan expand initiative India coming months. Related Facebook Twitter Pinterest WhatsApp Previous articleVishal BhardwajGulzar duo create musical excellence Moj Lata Mangeshkars lost song 90s OdAdmin RELATED ARTICLESMORE FROM AUTHOR Entertainment Vishal BhardwajGulzar duo create musical excellence Moj Lata Mangeshkars lost song 90s National Publicprivate partnership bring Defence Production Revolution: Raksha Mantri Rajnath Singh SIDM Annual meeting National Countrys PanIndia helpline senior citizens: Elder Line Toll Free No 14567 Ads 21,659FansLike108FollowersFollow23,038FollowersFollow751rs Latest news AstraZeneca HealthTech Startup Tricog, rolls Project Heart Beat... September 28, 2021 Vishal BhardwajGulzar duo create musical excellence Moj Lata Mangeshkars... September 28, 2021 Publicprivate partnership bring Defence Production Revolution: Raksha Mantri Rajnath Singh... September 28, 2021 Countrys PanIndia helpline senior citizens: Elder Line Toll Free... 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] | 1 | 3,110 |
https://phys.org/news/2021-05-nasa-ai-technology-fault-diagnosis.html
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NASA AI technology could speed up fault diagnosis process in spacecraft
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NASA AI technology could speed up fault diagnosis process in spacecraft
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May 20, 2021
NASA AI technology could speed up fault diagnosis process in spacecraft
by Emma Edmund, NASA's Goddard Space Flight Center
CubeSat is released from the International Space Station. RAISR could help spacecraft like these rely less on ground controllers and communications networks. Credit: NASA
New artificial intelligence technology could speed up physical fault diagnosis in spacecraft and spaceflight systems, improving mission efficiency by reducing down-time.
Research in artificial intelligence for spacecraft resilience (RAISR) is software developed by Pathways intern Evana Gizzi, who works at NASA's Goddard Space Flight Center in Greenbelt, Maryland. With RAISR, artificial intelligence could diagnose faults real-time in spacecraft and spaceflight systems in general.
"The spacecraft reporting a fault is like a car with a check engine light on," Gizzi said. "You know there is an issue, but can't necessarily explain the cause. That's where the RAISR algorithm comes in, diagnosing the cause as a loose gas cap."
Right now, the ability to make inferences about what is happening that go beyond traditional 'if-then-else' fault trees is something only humans can do, Gizzi said.
Current fault tree diagnosis depends on the physics being simple and already known to engineers and scientists. For instance, if an instrument's temperature drops too low, the spacecraft can detect this situation and turn on heaters. If the current in a line spikes, the spacecraft may work to isolate the offending circuit. In both cases, the spacecraft simply knows that if "A' happens, respond by doing "B." What the spacecraft cannot do is figure out what caused these events, especially in unexpected fault cases: whether the spacecraft entered Earth's shadow or a micrometeoroid damaged a circuit.
These types of conclusions require the ability to follow a logical chain of non-trivial inferences—something like human reasoning, Gizzi said. The artificial intelligence (AI) might even be able to connect the spacecraft's decreased temperature with a malfunction in its internal heat regulation system: an example of a more catastrophic fault.
Referring such faults to a human on the ground does not just take time, but costs valuable resources in terms of communications networks and bandwidth for smaller missions in Earth orbit, or even for exploring distant planets, where bandwidth to controllers on Earth is limited by distance.
In other circumstances, like orbiting behind another planet or the Moon, contact is simply not available. Computers also excel over human controllers when a proper inference needs to be done extremely fast using several disparate types of data.
In its current stages, RAISR would not actively control the spacecraft in any way, but facilitates diagnosis by finding associations that a human may miss.
Credits: Evana Gizzi
Michael Johnson, the Engineering and Technology Directorate chief technologist at Goddard, said current safe modes waste valuable time because science data collection ceases, whereas a technology that could diagnose and address a fault might lead to a quicker return to normal flight operations.
RAISR uses a combination of machine learning and classical AI techniques. While machine learning-based techniques can be particularly useful in diagnosing faults, its performance depends on having a large amount of diverse data, Gizzi said, and therefore usually addresses faults that have happened in the past. With anomalies, which are faults that have never been experienced, there simply may not be enough data to create sound reasoning with machine learning-based techniques. That is where classical AI steps in, Gizzi said, facilitating reasoning in more complicated situations that don't have previous data to inform decisions.
Gizzi's technology helps make connections that are extraordinarily difficult to be made by humans, said Conrad Schiff, an assistant chief for technology in the software engineering division at Goddard.
"It's not just an automated system," Schiff said. "It's an autonomous system that attempts to reveal how it arrived at the 'whodunit." Laying out the evidence like a detective at the end of a mystery novel, so that we all can see who is guilty of murder—that's the same principle here. It understands these associations, it helps us understand its reasoning in arriving at its conclusion."
RAISR enables better collection of data and observations by reducing resources needed for the maintenance of the systems themselves, Schiff added. "It's less glamorous, it's grittier, but it's making sure the health and safety of the thing producing the data is maintained as best as we can."
In general, AI can act like an additional brain within the spacecraft.
"You're taking an engineer or a scientist from the lab and putting a simplified copy of them in the spacecraft, so they can make intelligent decisions in situ," Johnson said.
RAISR's next steps include a demonstration on a small satellite mission, Gizzi said, where it can make real-time diagnosis decisions to compare with ground control.
As more missions adopt AI techniques, Johnson said, testing approaches may have to shift. Rigorous protocols that test every possible scenario might not apply. That, combined with the cultural shift from ground-based problem resolution to letting the on-orbit systems solve problems themselves, makes putting AI in spacecraft an incremental journey, he said.
"When I think about spaceflight, it's a target for autonomous systems that just makes sense," Johnson said. "The real leap occurs when we go beyond automation to autonomy, from programming steps you know will happen to the system starting to think for itself. When you go into deep space, there are going to be things you did not program for. The need is really there."
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NASA's On-orbit Servicing, Assembly, and Manufacturing 1 (OSAM-1) mission ready for spacecraft build
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NASA AI technology could speed up fault diagnosis process in spacecraft (2021, May 20)
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NASA AI technology could speed up fault diagnosis process in spacecraft
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NASA AI technology speed fault diagnosis process spacecraft 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 6 7 Share Email Home Astronomy Space Space Exploration May 20, 2021 NASA AI technology speed fault diagnosis process spacecraft Emma Edmund, NASAs Goddard Space Flight Center CubeSat released International Space Station. RAISR help spacecraft like rely ground controllers communications networks. Credit: NASA New artificial intelligence technology speed physical fault diagnosis spacecraft spaceflight systems, improving mission efficiency reducing downtime. Research artificial intelligence spacecraft resilience RAISR software developed Pathways intern Evana Gizzi, works NASAs Goddard Space Flight Center Greenbelt, Maryland. With RAISR, artificial intelligence diagnose faults realtime spacecraft spaceflight systems general. The spacecraft reporting fault like car check engine light on, Gizzi said. You know issue, necessarily explain cause. Thats RAISR algorithm comes in, diagnosing cause loose gas cap. Right now, ability inferences happening traditional ifthenelse fault trees humans do, Gizzi said. Current fault tree diagnosis depends physics simple known engineers scientists. For instance, instruments temperature drops low, spacecraft detect situation turn heaters. If current line spikes, spacecraft work isolate offending circuit. In cases, spacecraft simply knows A happens, respond B. What spacecraft figure caused events, especially unexpected fault cases: spacecraft entered Earths shadow micrometeoroid damaged circuit. These types conclusions require ability follow logical chain nontrivial inferencessomething like human reasoning, Gizzi said. The artificial intelligence AI able connect spacecrafts decreased temperature malfunction internal heat regulation system: example catastrophic fault. Referring faults human ground time, costs valuable resources terms communications networks bandwidth smaller missions Earth orbit, exploring distant planets, bandwidth controllers Earth limited distance. In circumstances, like orbiting planet Moon, contact simply available. Computers excel human controllers proper inference needs extremely fast disparate types data. In current stages, RAISR actively control spacecraft way, facilitates diagnosis finding associations human miss. Credits: Evana Gizzi Michael Johnson, Engineering Technology Directorate chief technologist Goddard, said current safe modes waste valuable time science data collection ceases, technology diagnose address fault lead quicker return normal flight operations. RAISR uses combination machine learning classical AI techniques. While machine learningbased techniques particularly useful diagnosing faults, performance depends large diverse data, Gizzi said, usually addresses faults happened past. With anomalies, faults experienced, simply data create sound reasoning machine learningbased techniques. That classical AI steps in, Gizzi said, facilitating reasoning complicated situations dont previous data inform decisions. Gizzis technology helps connections extraordinarily difficult humans, said Conrad Schiff, assistant chief technology software engineering division Goddard. Its automated system, Schiff said. Its autonomous attempts reveal arrived whodunit. Laying evidence like detective end mystery novel, guilty murderthats principle here. It understands associations, helps understand reasoning arriving conclusion. RAISR enables better collection data observations reducing resources needed maintenance systems themselves, Schiff added. Its glamorous, grittier, making sure health safety thing producing data maintained best can. In general, AI act like additional brain spacecraft. Youre taking engineer scientist lab putting simplified copy spacecraft, intelligent decisions situ, Johnson said. RAISRs steps include demonstration small satellite mission, Gizzi said, realtime diagnosis decisions compare ground control. As missions adopt AI techniques, Johnson said, testing approaches shift. Rigorous protocols test possible scenario apply. That, combined cultural shift groundbased problem resolution letting onorbit systems solve problems themselves, makes putting AI spacecraft incremental journey, said. When I think spaceflight, target autonomous systems makes sense, Johnson said. The real leap occurs automation autonomy, programming steps know happen starting think itself. When deep space, going things program for. The need there. Explore NASAs Onorbit Servicing, Assembly, Manufacturing 1 OSAM1 mission ready spacecraft build Provided NASAs Goddard Space Flight Center Citation: NASA AI technology speed fault diagnosis process spacecraft 2021, May 20 retrieved 20 May 2021 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 13shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Spiders avoid areas ants May 19, 2021 0 Climate change alter gender ratios American alligator offspring May 19, 2021 1 Tidal tails detected open cluster NGC 752 May 19, 2021 0 Models corals resistant ocean warming swap heatresistant varieties algae May 18, 2021 1 A procedure directly measure strength Landau damping May 18, 2021 0 New AIbased tool rare cell populations large singlecell datasets 25 minutes ago Radar tracking uncovers mystery honeybee drones sex 25 minutes ago Selfpropelled particles condense turning moving crowded areas 26 minutes ago Ultrasensitive light detector gives selfdriving tech jolt 26 minutes ago Solving natural riddle water filtration 26 minutes ago Swifts set new record swiftness 26 minutes ago New 96 millionyearold fossil represents oldest sidenecked turtle north america 26 minutes ago Relevant PhysicsForums posts Extraterrestrial Object Orbits 4 hours ago Our Beautiful Universe Photos Videos 6 hours ago Lightning ball help analyze rare video 13 hours ago Solar Activity Space Weather Update thread May 17, 2021 Macroscopic Dark Matter Revealed By Lightning May 16, 2021 Is plutonium space? May 16, 2021 More Astronomy Astrophysics Related Stories NASAs Onorbit Servicing, Assembly, Manufacturing 1 OSAM1 mission ready spacecraft build May 06, 2021 Scientists develop intelligent fault diagnosis method nuclear power plants May 13, 2021 NASA engineers analyze navigation needs Artemis moon missions Mar 25, 2021 Voyager 2 engineers working restore normal operations Jan 29, 2020 Marsbound spaceship experiencing technical issues: NASA Jul 30, 2020 NASA Goddard network maintains communications space ground Mar 01, 2016 Recommended Moon mission delays increase risks solar storms 7 hours ago Chinese Mars rover beams photos 18 hours ago A new space instrument captures solar eruption May 18, 2021 NASA launches rocket search aurora answers May 18, 2021 China lands Mars major advance space ambitions May 15, 2021 Supercomputer simulations unlock old space weather puzzle May 14, 2021 User comments Let know problem content Use form come typo, inaccuracy like send edit request content . 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] | 1 | 3,111 |
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Using AI in health sciences education requires interdisciplinary collaboration and risk assessment
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Using AI in health sciences education requires interdisciplinary collaboration and risk assessment
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March 17, 2022
Using AI in health sciences education requires interdisciplinary collaboration and risk assessment
by Elif Bilgic and Jason M. Harley, The Conversation
AI technologies can support the delivery of effective and personalized health care and education. Credit: Shutterstock
Over the past five years, there has been an increase in research and development related to the use of artificial intelligence (AI) in health sciences education in fields such as medicine, nursing and occupational therapy. AI-enhanced technologies have been shown to have educational value and offer flexibility for students. For example, learning scenarios can be repeated and completed remotely, and educational experiences can be standardized.
However, AI's applications in health sciences education need to be explored further.
To better understand advances in research and applications of AI as a part of the education of health sciences students, we conducted a comprehensive literature review. We also hosted a virtual panel consisting of scholars across Canadian institutions and educational technology companies who are actively involved in AI and health sciences education.
Our panel investigated three themes: current applications of educational theories, performance assessment, and current advances; the role of educational associations and industry; and legal and ethical considerations.
Interdisciplinary collaboration
One of our key findings was that it is important to develop interdisciplinary partnerships and collaborative environments. The effective development and implementation of AI-enhanced educational technologies require different capabilities. These include: possessing the technical know-how required to build and develop AI, understanding the needs of students and educators, applying educational theories to content development and assessment, and considering any legal and ethical issues.
A panel on AI and health sciences education.
Based on our work, majority of the published studies do not have interdisciplinary teams, hence the call for interdisciplinary collaborations. However, one example that was successful in bringing together individuals from different disciplines is an intelligent tutoring system designed to help medical students with their diagnostic reasoning skills through virtual patient cases.
Therefore, an interdisciplinary team would be able to produce and deliver AI-enhanced education effectively. To achieve this, partnerships should include industry, educational societies, hospitals and universities. Collaborative teams would include researchers and practitioners from health sciences, law, ethics, education, computer science, engineering and other fields.
Enhancing education with educational societies
Educational societies not only play an important role in supporting research and development, but also the use of AI-enhanced educational technologies across health sciences programs.
Future health scientists will require new skills in technology and AI, and the ability to apply them during training and clinical duties. These include understanding issues related to privacy, discrimination, ethical and legal concerns and inherent biases that may create health inequities.
For example, the Royal College of Physicians and Surgeons of Canada, which oversees the training of medical specialists in Canada, has a role in creating new initiatives and support systems to address these emerging needs. The college could add an additional component to the medical curriculum that focuses on core information necessary to use these AI-enhanced technologies. Practicing physicians will also need the support of the college to develop technology-supported clinical skills.
Ultimately, if we want to enhance research and applications of AI in health sciences education, collaboration across different fields is key. This is so that both effective and equitable AI technologies can be developed, and that in the future, health scientists can use these technologies while understand their risks and benefits.
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Using AI in health sciences education requires interdisciplinary collaboration and risk assessment
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Using AI health sciences education requires interdisciplinary collaboration risk assessment 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 3 Share Email Home Other Sciences Education March 17, 2022 Using AI health sciences education requires interdisciplinary collaboration risk assessment Elif Bilgic Jason M. Harley, The Conversation AI technologies support delivery effective personalized health care education. Credit: Shutterstock Over past years, increase research development related use artificial intelligence AI health sciences education fields medicine, nursing occupational therapy. AIenhanced technologies shown educational value offer flexibility students. For example, learning scenarios repeated completed remotely, educational experiences standardized. However, AIs applications health sciences education need explored further. To better understand advances research applications AI education health sciences students, conducted comprehensive literature review. We hosted virtual panel consisting scholars Canadian institutions educational technology companies actively involved AI health sciences education. Our panel investigated themes: current applications educational theories, performance assessment, current advances; role educational associations industry; legal ethical considerations. Interdisciplinary collaboration One key findings important develop interdisciplinary partnerships collaborative environments. The effective development implementation AIenhanced educational technologies require different capabilities. These include: possessing technical knowhow required build develop AI, understanding needs students educators, applying educational theories content development assessment, considering legal ethical issues. A panel AI health sciences education. Based work, majority published studies interdisciplinary teams, interdisciplinary collaborations. However, example successful bringing individuals different disciplines intelligent tutoring designed help medical students diagnostic reasoning skills virtual patient cases. Therefore, interdisciplinary team able produce deliver AIenhanced education effectively. To achieve this, partnerships include industry, educational societies, hospitals universities. Collaborative teams include researchers practitioners health sciences, law, ethics, education, science, engineering fields. Enhancing education educational societies Educational societies play important role supporting research development, use AIenhanced educational technologies health sciences programs. Future health scientists require new skills technology AI, ability apply training clinical duties. These include understanding issues related privacy, discrimination, ethical legal concerns inherent biases create health inequities. For example, Royal College Physicians Surgeons Canada, oversees training medical specialists Canada, role creating new initiatives support systems address emerging needs. The college add additional component medical curriculum focuses core information necessary use AIenhanced technologies. Practicing physicians need support college develop technologysupported clinical skills. Ultimately, want enhance research applications AI health sciences education, collaboration different fields key. This effective equitable AI technologies developed, future, health scientists use technologies understand risks benefits. Explore How ER simulation helps medical engineering students new points view Provided The Conversation This article republished The Conversation Creative Commons license. Read original article. Citation: Using AI health sciences education requires interdisciplinary collaboration risk assessment 2022, March 17 retrieved 17 March 2022 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 4shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Ancient handprints cave walls Spain include childrens hands 1 hour ago 0 Researchers design holographic lenses based plasma 2 hours ago 0 Experiments early humans began adding handles tools 2 hours ago 0 Chinese astronomers discover 500 new open cluster candidates 2 hours ago 0 Modeling humananimal interactions animals avoid humans Mar 16, 2022 1 Pandemic mood: Much worse bad Monday 43 minutes ago The oxidation volcanoesa magma opus 43 minutes ago European floating microplastics accumulate Arctic Ocean 43 minutes ago Ancient handprints cave walls Spain include childrens hands 1 hour ago Ultrahard chiton teeth discovery offers clues nextgeneration advanced materials 1 hour ago Researchers catalog cell types present white fat tissue mice humans 1 hour ago Drones shed light coastal water flows 1 hour ago Relevant PhysicsForums posts Components Bluetooth audio delaylatency? 43 minutes ago Getting close light speed creates black hole? 43 minutes ago Special Relativity violation Quantum Mechanics? 45 minutes ago Tangent Bundle Level set 46 minutes ago Really worried Ukraine 47 minutes ago Project Orion Revisited? 47 minutes ago More Physics Forums Science Articles, Homework Help, Discussion Related Stories How ER simulation helps medical engineering students new points view Mar 14, 2022 Exploring relationship ethics privacy learning analytics design Oct 19, 2016 How education researchers support education public health institutions COVID19? Jul 09, 2020 Health profession: Social interdependence active learning evaluated Delphi procedure Jun 12, 2020 Research network aims improve learning outcomes students underrepresented STEM Oct 19, 2020 Artificial intelligence holds great potential students teachers wisely Jul 24, 2017 Recommended Facetoface interaction enhance learning, innovation Mar 10, 2022 Girls likely attribute failure lack talent: study Mar 10, 2022 Wage transparency reduces academic gender wage gap Feb 25, 2022 Comparing preprints finalized publications pandemic Feb 01, 2022 Schools pandemic: Simulation model allows safe operation Jan 27, 2022 Students attention problems likely cheat, study shows Jan 18, 2022 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 Using AI health sciences education requires interdisciplinary collaboration risk assessment 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 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 Sponsored Account Archive News wire Android app iOS app RSS feeds Push notification 2003 2022 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
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] | 1 | 3,112 |
https://phys.org/news/2022-09-machine-enable-bioengineering-abundant-enzyme.html
| 2022-09-30T00:00:00 |
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Machine learning may enable bioengineering of the most abundant enzyme on the planet
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Machine learning may enable bioengineering of the most abundant enzyme on the planet
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September 30, 2022
Machine learning may enable bioengineering of the most abundant enzyme on the planet
by Newcastle University
Credit: Pixabay/CC0 Public Domain
A Newcastle University study has for the first time shown that machine learning can predict the biological properties of the most abundant enzyme on Earth—Rubisco.
Rubisco (Ribulose-1,5-bisphosphate carboxylase/oxygenase) is responsible for providing carbon for almost all life on Earth. Rubisco functions by converting atmospheric CO2 from the Earth's atmosphere to organic carbon matter, which is essential to sustain most life on Earth.
For some time now, natural variation has been observed among Rubisco proteins of land plants and modeling studies have shown that transplanting Rubisco proteins with certain functional properties can increase the amount of atmospheric CO2 crop plants can uptake and store.
Study lead author, Wasim Iqbal, a Ph.D. researcher at Newcastle University's School of Natural and Environmental Sciences, part of Dr. Maxim Kapralov's group, developed a machine learning tool which can predict the performance properties of numerous land plant Rubisco proteins with surprisingly good accuracy. The hope is that this tool will enable the hunt for a 'supercharged' Rubisco protein that can be bioengineered into major crops such as wheat.
Published in the Journal Of Experimental Botany, the study presents a useful tool for screening and predicting plant Rubisco kinetics for engineering efforts as well as for fundamental studies on Rubisco evolution and adaptation. Screening the natural diversity of Rubisco kinetics is the main strategy used to find better Rubiscos for crop engineering efforts.
Wasim says that their "study will have huge implications for climate models and bioengineering crops."
"This study provides plant biologists with a pre-screening tool for highlighting Rubisco species exhibiting better kinetics for crop engineering efforts."
"The machine learning tool can be used to improve the accuracy of global photosynthesis estimates. The Rubisco performance properties our model predicts are compatible with Earth system models (ESM) used by climate scientists. Currently, ESMs use a single set of Rubisco properties from the same species (or sometimes a handful) for estimating photosynthesis at the ecosystem scale. Our machine learning tool could provide predictions for most land plants improving the accuracy of ESMs."
Next steps of this work include isolating the best Rubisco proteins identified from predictions in the lab and attempting to bioengineer a plant species with a foreign Rubisco protein.
Explore further
A red future for improving crop production?
More information:
Wasim A Iqbal et al, Predicting plant Rubisco kinetics from RbcL sequence data using machine learning, Journal of Experimental Botany (2022). DOI: 10.1093/jxb/erac368
Journal information:
Journal of Experimental Botany,
Provided by
Newcastle University
Citation:
Machine learning may enable bioengineering of the most abundant enzyme on the planet (2022, September 30)
retrieved 30 September 2022
from https://phys.org/news/2022-09-machine-enable-bioengineering-abundant-enzyme.html
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part may be reproduced without the written permission. The content is provided for information purposes only.
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Machine learning enable bioengineering abundant enzyme planet 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 15 4 Share Email Home Biology Molecular Computational biology Home Biology Agriculture September 30, 2022 Machine learning enable bioengineering abundant enzyme planet Newcastle University Credit: PixabayCC0 Public Domain A Newcastle University study time shown machine learning predict biological properties abundant enzyme EarthRubisco. Rubisco Ribulose1,5bisphosphate carboxylaseoxygenase responsible providing carbon life Earth. Rubisco functions converting atmospheric CO2 Earths atmosphere organic carbon matter, essential sustain life Earth. For time now, natural variation observed Rubisco proteins land plants modeling studies shown transplanting Rubisco proteins certain functional properties increase atmospheric CO2 crop plants uptake store. Study lead author, Wasim Iqbal, Ph.D. researcher Newcastle Universitys School Natural Environmental Sciences, Dr. Maxim Kapralovs group, developed machine learning tool predict performance properties numerous land plant Rubisco proteins surprisingly good accuracy. The hope tool enable hunt supercharged Rubisco protein bioengineered major crops wheat. Published Journal Of Experimental Botany, study presents useful tool screening predicting plant Rubisco kinetics engineering efforts fundamental studies Rubisco evolution adaptation. Screening natural diversity Rubisco kinetics main strategy better Rubiscos crop engineering efforts. Wasim says study huge implications climate models bioengineering crops. This study provides plant biologists prescreening tool highlighting Rubisco species exhibiting better kinetics crop engineering efforts. The machine learning tool improve accuracy global photosynthesis estimates. The Rubisco performance properties model predicts compatible Earth models ESM climate scientists. Currently, ESMs use single set Rubisco properties species handful estimating photosynthesis ecosystem scale. Our machine learning tool provide predictions land plants improving accuracy ESMs. Next steps work include isolating best Rubisco proteins identified predictions lab attempting bioengineer plant species foreign Rubisco protein. Explore A red future improving crop production? More information: Wasim A Iqbal et al, Predicting plant Rubisco kinetics RbcL sequence data machine learning, Journal Experimental Botany 2022. DOI: 10.1093jxberac368 Journal information: Journal Experimental Botany, Provided Newcastle University Citation: Machine learning enable bioengineering abundant enzyme planet 2022, September 30 retrieved 30 September 2022 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 19shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Automated carbohydrate synthesizer produces polysaccharides recordbreaking length 4 hours ago 0 Study meteorites suggests Earths composition changed collisional erosion 5 hours ago 0 Paper team claiming achieved superconductivity room temperature retracted Sep 29, 2022 0 Study shows children lower economic status willing risky decisions wealthier children Sep 29, 2022 0 The composition asteroidal cores early solar Sep 29, 2022 0 Most Twitter users dont follow political elites, researchers suggest 1 hour ago Researchers unveil mystery inside lithium oxygen batteries 2 hours ago What caused holes SUE T. rexs jaw? Probably infection 3 hours ago Drawing data nanometer scale 3 hours ago Disease outcomes differ new host species virus spillover experiments 3 hours ago Horrible bosses cause race bottom, study finds 3 hours ago Study reports evidence social relationships chimpanzees gorillas 3 hours ago Relevant PhysicsForums posts Arrow Time 9 minutes ago Where I begin? 26 minutes ago Focussing Treadmill Veritasiums Blackbird faster wind 8 hours ago Magnus Effect experiment problem Sep 29, 2022 Separation Plasma positive nucleus negative electrons Sep 27, 2022 Why increasing height water tower increase water pressure? Sep 26, 2022 More Other Physics Topics Related Stories A red future improving crop production? Sep 28, 2020 Rubisco proton production enhance carbon dioxide acquisition May 24, 2021 Carbonfixing enzyme 10 times abundant previously thought Feb 26, 2019 Back future: new study lead bumper crops Jul 14, 2020 E. coli bacteria offer path improving photosynthesis Sep 21, 2020 Researchers reveal molecular basis assembly RuBisCO assisted chaperone Raf1 Jun 08, 2020 Recommended Singlecell tools insight active antibiotic resistome soils 3 hours ago Scientists sequence worlds largest pangenome help unlock genetic mysteries finer silk 3 hours ago From droplet discovery 13 hours ago Bright photostable green fluorescent protein derived Japanese jellyfish 6 hours ago Scientists use machine learning help fight antibiotic resistance farmed chickens 23 hours ago Biomarkers track benefits antiaging therapies misleading, suggests Lifespan Machine Sep 29, 2022 Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . 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] | 1 | 3,113 |
https://phys.org/news/2023-07-scientists-deepfake-ai-images-sun.html
| 2023-07-03T00:00:00 |
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Scientists use deepfake AI images to understand the sun's atmosphere
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Scientists use deepfake AI images to understand the sun's atmosphere
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Scientists use deepfake AI images to understand the sun's atmosphere
by Gurjeet Kahlon, Royal Astronomical Society
AI-generated deepfake image of the same coronal rain with clearer resolution. Credit: Luke McMullan / NASA Solar Dynamics Observatory
Solar scientists are using deepfake AI images to unravel the mysteries of the sun's atmosphere. The research, being presented at the National Astronomy Meeting this week, was carried out as part of a collaboration between Northumbria University and the University of Bern.
For more than 80 years, solar physicists have been trying to understand how and why the upper reaches of the sun's atmosphere (the corona) are unexpectedly hotter than the layers closer to the surface. Scientists have narrowed it down to two possible causes: heating through the dissipation of waves in the plasma or through the energetic reconnection of magnetic lines. There is evidence for both happening but the amount that each process contributes to the total heating is still unknown.
The key to unlocking this mystery appears to lie in the beautiful phenomenon known as "coronal rain"—loops of cooler plasma that project out and fall back into the upper reaches of the sun's atmosphere. Identifying this rain is vital in furthering our understanding of the sun's underlying thermodynamics. The "rain" appears only to be generated by reconnecting magnetic lines. If scientists can find out how much coronal rain falls on the sun, they can determine how this unexpected heating cycle works.
To find out how much rain there is, it must be observed separately from the myriad of other solar materials. Most observations of solar rain are taken by the Atmospheric Imaging Assembly (AIA) aboard NASA's Solar Dynamics Observatory. However, the rain in these images is often obscured by hotter material. Alternative images taken by the Interface Region Imaging Spectrograph (IRIS), a NASA solar observation satellite, show the rain more clearly but can only capture a limited field of view. A Goldilocks set of images is needed in the high numbers of AIA with the sharp resolution of IRIS.
Original image of coronal rain plasma projections taken by the Atmospheric Imaging Assembly (AIA) aboard NASA’s Solar Dynamics Observatory. Credit: Luke McMullan / NASA Solar Dynamics Observatory
An original image of coronal rain loops taken by the Atmospheric Imaging Assembly (AIA) aboard NASA’s Solar Dynamics Observatory, showing the blurring from hotter material. Credit: Luke McMullan / NASA Solar Dynamics Observatory
Deep fake image of coronal rain generated by AI after studying a set of higher-resolution images from IRIS. Coronal rain loops are much more clearly visible. Credit: Luke McMullan / NASA Solar Dynamics Observatory
To solve this, researcher Luke McMullan from Northumbria University trained an AI machine learning algorithm to study the high-definition IRIS images and then enhance the more plentiful, lower-quality AIA images, creating "deepfakes" that will allow astronomers to understand how much coronal rain falls in the sun's atmosphere and subsequently solve the mystery of its unusual heat layering.
"We are living in a golden age for solar research," said Luke McMullan, the project's lead researcher. "Not only are we obtaining access to more high-resolution images of the solar atmosphere than ever before, but the rapid development and implementation of machine learning techniques in tandem with these observations allow us to find answers to problems that have hounded the community for decades. We anticipate this collaboration between observations and machine learning only to grow deeper and become a staple tool in our scientific arsenal."
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Scientists use deepfake AI images to understand the sun's atmosphere (2023, July 3)
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Scientists use deepfake AI images to understand the sun's atmosphere
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Scientists use deepfake AI images understand suns atmosphere 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 Astronomy Space Astronomy July 3, 2023 Editors notes This article reviewed according ScienceXs editorial process policies. Editors highlighted following attributes ensuring contents credibility: factchecked trusted source proofread Scientists use deepfake AI images understand suns atmosphere Gurjeet Kahlon, Royal Astronomical Society AIgenerated deepfake image coronal rain clearer resolution. Credit: Luke McMullan NASA Solar Dynamics Observatory Solar scientists deepfake AI images unravel mysteries suns atmosphere. The research, presented National Astronomy Meeting week, carried collaboration Northumbria University University Bern. For 80 years, solar physicists trying understand upper reaches suns atmosphere corona unexpectedly hotter layers closer surface. Scientists narrowed possible causes: heating dissipation waves plasma energetic reconnection magnetic lines. There evidence happening process contributes total heating unknown. The key unlocking mystery appears lie beautiful phenomenon known coronal rainloops cooler plasma project fall upper reaches suns atmosphere. Identifying rain vital furthering understanding suns underlying thermodynamics. The rain appears generated reconnecting magnetic lines. If scientists coronal rain falls sun, determine unexpected heating cycle works. To rain is, observed separately myriad solar materials. Most observations solar rain taken Atmospheric Imaging Assembly AIA aboard NASAs Solar Dynamics Observatory. However, rain images obscured hotter material. Alternative images taken Interface Region Imaging Spectrograph IRIS, NASA solar observation satellite, rain clearly capture limited field view. A Goldilocks set images needed high numbers AIA sharp resolution IRIS. Original image coronal rain plasma projections taken Atmospheric Imaging Assembly AIA aboard NASAs Solar Dynamics Observatory. Credit: Luke McMullan NASA Solar Dynamics Observatory An original image coronal rain loops taken Atmospheric Imaging Assembly AIA aboard NASAs Solar Dynamics Observatory, showing blurring hotter material. Credit: Luke McMullan NASA Solar Dynamics Observatory Deep fake image coronal rain generated AI studying set higherresolution images IRIS. Coronal rain loops clearly visible. Credit: Luke McMullan NASA Solar Dynamics Observatory To solve this, researcher Luke McMullan Northumbria University trained AI machine learning algorithm study highdefinition IRIS images enhance plentiful, lowerquality AIA images, creating deepfakes allow astronomers understand coronal rain falls suns atmosphere subsequently solve mystery unusual heat layering. We living golden age solar research, said Luke McMullan, projects lead researcher. Not obtaining access highresolution images solar atmosphere before, rapid development implementation machine learning techniques tandem observations allow answers problems hounded community decades. We anticipate collaboration observations machine learning grow deeper staple tool scientific arsenal. Provided Royal Astronomical Society Citation: Scientists use deepfake AI images understand suns atmosphere 2023, July 3 retrieved 3 July 2023 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. Explore Collaborative research detects nanojets machine learning algorithms 0shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Volcanic sulfur flows observed recorded northern Chile 5 hours ago 0 Assessment impact halogens atmosphere suggests included climate models 5 hours ago 0 New eclipsing cataclysmic variable discovered 5 hours ago 0 Passage Inflation Reduction Act 2022 lowering US greenhouse gas emissions Jun 30, 2023 0 Smarter men putting children later life children, economists Jun 30, 2023 0 Understanding regulation apicoplast gene expression malaria parasite 23 minutes ago Planting seeds: Researchers dig chemical gardens grow 23 minutes ago Chemists discover photosynthetic lightharvesting efficient 23 minutes ago Study finds birds raise fewer young spring arrives earlier warming world 23 minutes ago Sandwich discovery offers new explanation planet formation 36 minutes ago Researchers create antenna nanoscale light sources unusual placement semiconductor material 1 hour ago First direct visualization zerofield pair density wave 2 hours ago Photonic chip transforms single beam light multiple beams, panoply different properties 2 hours ago Traffic control mucin insulin secretion identified 2 hours ago Bitter taste receptors serve endogenous sensors bile acids, suggests study 3 hours ago Related Stories Collaborative research detects nanojets machine learning algorithms 11 hours ago Solar astronomers discover shooting stars suns corona 5 hours ago NASAs IRIS spots nanojets: Shining light heating solar corona Sep 21, 2020 IRIS spots plasma rain suns surface Aug 8, 2016 Scientists propose new formation mechanism solar coronal rain Apr 22, 2021 Suns coldest region stores secret heating milliondegree corona, study finds Jun 14, 2023 Recommended Quasar clocks universe times slower soon Big Bang 4 hours ago New eclipsing cataclysmic variable discovered 5 hours ago Solar astronomers discover shooting stars suns corona 5 hours ago Europes space telescope launches target universes dark mysteries Jul 1, 2023 A neutrino portrait galaxy reveals highenergy particles Milky Way Jul 1, 2023 Astrophysicists propose new way measuring cosmic expansion: lensed gravitational waves Jun 30, 2023 Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . 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https://pledgetimes.com/chatgpt-also-arrives-on-zalando/
| 2023-04-21T00:00:00 |
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ChatGPT also arrives on Zalando! - Pledge Times
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ChatGPT also arrives on Zalando! - Pledge Times
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ChatGPT also arrives on Zalando!
by
admin_l6ma5gus
April 21, 2023
in
Tech
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ChatGPT by now you will know it well, it is the chatbot created by Open AI which has driven the user crazy and which is now used far and wide for many different functions. Today, however, we want to bring you a new interesting novelty, as the well-known artificial intelligence will soon become even a very capable fashion consultant!
ChatGPT also arrives on Zalando!
Surely you have already heard of Zalando, one of the most famous online fashion portals ever. Perhaps you have also bought something in the past, but know that from today a new and interesting function will allow you to further simplify your shopping! In fact, ChatGPT will also become a fashion consultant, as a first beta of an assistant will soon be released that will help you choose the most suitable products for you.
If you’re wondering what it could be useful for, the assistant will simplify your searches making them easier and more coherent, but above all it can also help you choose the most suitable look for certain occasions. Let’s say you have to go to a wedding, just ask ChatGPT: “Which dress can I buy for a wedding in the countryside in Sicily in May?”, and the AI will show you the most relevant advice and results, understanding the request and also checking various information such as for example the general weather forecast for May in Sicily.
In short, no more doubts, no hours spent in front of the wardrobe or in front of your PC looking for the perfect item of clothing. Now you can always have advice at hand. Furthermore, also taking into consideration what the user follows, views or buys, the chatbot will also be able to filter items by size, brand and much more.
This beta should be released later this spring, but unfortunately for now the service will be limited to a select group of customers and will only be available in English and German for the following countries: Germany, Austria, Ireland and the United Kingdom. In any case, we can’t wait for everything to spread further to be able to test it by hand in Italy too!
#ChatGPT #arrives #Zalando
See also The dispossession of Monterra Energy
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ChatGPT also arrives on Zalando!
|
ChatGPT arrives Zalando Pledge Times Disclaimer Pledge Times T C Us Friday, April 21, 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 ChatGPT arrives Zalando admin_l6ma5gus April 21, 2023 Tech 0 ChatGPT know well, chatbot created Open AI driven user crazy far wide different functions. Today, however, want bring new interesting novelty, wellknown artificial intelligence soon capable fashion consultant ChatGPT arrives Zalando Surely heard Zalando, famous online fashion portals ever. Perhaps bought past, know today new interesting function allow simplify shopping In fact, ChatGPT fashion consultant, beta assistant soon released help choose suitable products you. If youre wondering useful for, assistant simplify searches making easier coherent, help choose suitable look certain occasions. Lets wedding, ask ChatGPT: Which dress I buy wedding countryside Sicily May?, AI relevant advice results, understanding request checking information example general weather forecast May Sicily. In short, doubts, hours spent wardrobe PC looking perfect item clothing. Now advice hand. Furthermore, taking consideration user follows, views buys, chatbot able filter items size, brand more. This beta released later spring, unfortunately service limited select group customers available English German following countries: Germany, Austria, Ireland United Kingdom. In case, wait spread able test hand Italy ChatGPT arrives Zalando See The dispossession Monterra Energy admin_l6ma5gus Related Posts One year passed Debanhi; march Nuevo Len admin_l6ma5gus April 21, 2023 0 Nuevo Len. This Friday April, 21stit exactly year discovery corpse Debanhi Susana... Windows 11: old glories inherent taskbar way admin_l6ma5gus April 21, 2023 0 Windows 11 latest operating developed Microsoft PCs world. Released 2021, features... They lynch death Puebla: stole broccolis eat admin_l6ma5gus April 21, 2023 0 Puebla. A alleged thief struck savage sprayed gasoline They set fire; died in... Amazing, Geophysicists discover 19 thousand dangerous submarine volcanoes admin_l6ma5gus April 21, 2023 0 The oceans cover 70 surface planet Earth, hidden awaits an... They looking 3 states, death Bionce Amaya; accident turned crime admin_l6ma5gus April 21, 2023 0 Nuevo Len. There arrest warrants case death disappearance Bionce Jazmin Amaya Cortez, happened... Savings challenge: Apply pay method improve finances admin_l6ma5gus April 21, 2023 0 Are looking effective way save money achieve longterm financial goals? Try pay yourself... Next Post Russian fighter jet shells city Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended AMLO accuses Jos Ramn Cosso protecting narcostate minister SCJN 2 months ago Physics The Nobel Prize Physics awarded 12:45 HS shows live 7 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/openai-ceo-threatens-to-stop-chatgpt-in-eu-due-to-new-legislation/
| 2023-05-26T00:00:00 |
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OpenAI CEO threatens to stop ChatGPT in EU due to new legislation - Pledge Times
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OpenAI CEO threatens to stop ChatGPT in EU due to new legislation - Pledge Times
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OpenAI CEO threatens to stop ChatGPT in EU due to new legislation
by
admin_l6ma5gus
May 25, 2023
in
World Europe
0
OpenAI, the maker of chatbot ChatGPT, is threatening to leave the European Union if the American company cannot comply with the Brussels rules being drafted for artificial intelligence (AI). That’s what CEO Sam Altman told Reuters news agency. “We will do our best to comply with the law, but if we fail to do so, we will stop offering our services in the EU.”
#OpenAI #CEO #threatens #stop #ChatGPT #due #legislation
See also I claim | Many people think that their ability to concentrate has been destroyed when they can't read anymore - In reality, it's about bad habits that can be changed, says the expert
admin_l6ma5gus
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OpenAI CEO threatens to stop ChatGPT in EU due to new legislation
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OpenAI CEO threatens stop ChatGPT EU new legislation Pledge Times Disclaimer Pledge Times T C Us Friday, May 26, 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 threatens stop ChatGPT EU new legislation admin_l6ma5gus May 25, 2023 World Europe 0 OpenAI, maker chatbot ChatGPT, threatening leave European Union American company comply Brussels rules drafted artificial intelligence AI. Thats CEO Sam Altman told Reuters news agency. We best comply law, fail so, stop offering services EU. OpenAI CEO threatens stop ChatGPT legislation See I claim Many people think ability concentrate destroyed read anymore In reality, bad habits changed, says expert admin_l6ma5gus Related Posts Lula asks Pacheco speed Senate votes admin_l6ma5gus May 26, 2023 0 In speech Fiesp, president said Brazil needs 1200 days of... Farright militia leader gets highest sentence storming Capitol admin_l6ma5gus May 26, 2023 0 One bestknown farright Americans received highest sentence date storming US Capitol building in... El Debate Venezuela: fragmented opposition choose Maduros rival 2024 elections admin_l6ma5gus May 26, 2023 0 First modification: 05262023 02:56 Venezuela preparing primary voting opposition parties seek choose single... Hungary Orbns administration angered attempts block Hungarys EU presidency admin_l6ma5gus May 26, 2023 0 The EUs halfyearly rotating presidency moving Hungary second half year.Hungary Thursday presented his... In US debt dispute, agreement expected emerge admin_l6ma5gus May 26, 2023 0 Home politicsCreated: 05262023 02:23 amSplitKevin McCarthy, Speaker US House Representatives, comments debt ceiling negotiations. ... Tesla open supercharger network Ford 2024 admin_l6ma5gus May 26, 2023 0 AFPi AFP 05252023 21:18 Share Tesla Ford vehicles access supercharger network United... Next Post Astronomers risks discover new Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recommended GTA The Trilogy The Definitive Edition new gameplay videos showing minutes game 2 years ago Estimated waiting time Russians public transport 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
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https://pressofatlanticcity.com/news/local/south-jersey-gas-parent-company-offers-students-artificial-intelligence-program/article_dc25b7d6-fd38-11ec-8d59-c368c9541c07.html
| 2022-07-06T00:00:00 |
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South Jersey Gas parent company offers students artificial intelligence program
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South Jersey Gas parent company offers students artificial intelligence program
Eric Conklin
Jul 6, 2022
8 hrs ago
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South Jersey Gas, a subsidiary of SJI, is headquartered in Atlantic City.
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Eric Conklin
This fall, South Jersey Industries will give high school students interested in learning about artificial intelligence the chance to attend a series of lessons at its Atlantic City headquarters.Through a partnership with the Mark Cuban Foundation and the state Department of Community Affairs, the AI Boot Camp will offer students four half-day sessions filled with lectures about artificial intelligence's uses in society, from smart home assistance to self-driving automobiles, SJI said Wednesday in a news release.The boot camps will be held on four straight Saturdays from Oct. 22 to Nov. 12.
No student needs prior hands-on or learning experience with AI or robotics to attend the program, SJI said.Founded in 2019, the Mark Cuban Foundation AI Boot Camp is a free, nationwide initiative offered to high school students who want to learn more about artificial intelligence and the technology used to operate it, SJI said.
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“At SJI, we are committed to providing local students with meaningful experiences that inspire them to reimagine what is possible as they craft their future career paths,” Leonard Brinson Jr., senior vice president and chief information officer at SJI, said in a statement.
The student-parent application is available at markcubanai.org/application until Sept. 1.
Contact Eric Conklin:[email protected] @ACPressConklin
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South Jersey Gas parent company offers students artificial intelligence program Local News Skip main contentSkip main content free articles. Sign newsletter reading. Get local news delivered inbox Daily Headlines newsletter. Sign Already r? Sign Back homer Please subscribe reading. You cancel time. Loadinghellp; You owner article. Edit Article Add New Article Close You permission edit article. 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Press archives Facebook Twitter WhatsApp SMS Email Print Copy article link Save Eric Conklin This fall, South Jersey Industries high school students interested learning artificial intelligence chance attend series lessons Atlantic City headquarters.Through partnership Mark Cuban Foundation state Department Community Affairs, AI Boot Camp offer students halfday sessions filled lectures artificial intelligences uses society, smart home assistance selfdriving automobiles, SJI said Wednesdayin news release.The boot camps held straight Saturdays Oct. 22 Nov. 12. No student needs prior handson learning experience AI robotics attend program, SJI said.Founded 2019, Mark Cuban Foundation AI Boot Camp free, nationwide initiative offered high school students want learn artificial intelligence technology operate it, SJI said. People reading Ventnor bougie, Jersey Shore left middle class behind? Parking shore towns taking new turn Lastminute deal averts casino strike Atlantic City Boat runs aground 8 people aboard Atlantic City Cape May Philadelphia chef Clark dies 60 Upper Township approves limits campgrounds Civil Service requirements hold Atlantic City police chief appointment Ryan Smith steps EHT track field coach Lastminute deal averts casino strike Atlantic City Naked man broke car, homes, assaulted residents, Absecon police Murphy signs 50.6 billion budget property tax relief Egg Harbor Township crash kills motorcyclist Atlantic City police arrest drug bust Properties recently sold South Jersey Car owner thrown vehicles roof police chase, suspect arrested At SJI, committed providing local students meaningful experiences inspire reimagine possible craft future career paths, Leonard Brinson Jr., senior vice president chief information officer SJI, said statement. The studentparent application available atapplicationuntil Sept. 1. Eric Conklin:6092727261econklin 0 Comments Tags South Jersey Industries Student Artificial Intelligence Company Lecture High School Holding Company South Jersey Gas Boot Camp Program Mark Cuban Foundation Get local news delivered inbox Daily Headlines newsletter. Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Eric Conklin Author email Follow Eric Conklin Related story Most Popular Ventnor bougie, Jersey Shore left middle class behind? VENTNOR The midday white pants crowd brunching outside The Dorset Ventnor Heights, new owners Florida Cold Cuts Liquor Parking shore towns taking new turn MARGATE Ken Adelman girlfriend, Stephanie Kneble, like ride bikes town grocery store, fo Lastminute deal averts casino strike Atlantic City ATLANTIC CITY The main union city casino workers reached agreements new contracts casinos late Thursday, providing Boat runs aground 8 people aboard Atlantic City The Coast Guard responded boating accident weekend Atlantic City. Cape May Philadelphia chef Clark dies 60 Tony Clark, 60, chefs chef gumption helped land job Four Seasons Hotel glory days went help mentor Upper Township approves limits campgrounds UPPER TOWNSHIP A popular upgrade summer homes local campgrounds longer allowed ordinance approved Monday. Civil Service requirements hold Atlantic City police chief appointment ATLANTIC CITY The Civil Service Commission expected issue announcement Aug. 1 filling Atlantic City police chief position, Lastminute deal averts casino strike Atlantic City Union negotiators casino management trying reach new contracts avoid costly disruptive strike Atlantic Citys busiest weekends. Local 54 Unite Here union set 12:01 a.m. Friday deadline reach new agreement Borgata, Caesars, Harrahs Tropicana. If not, authorized strike properties. And fifth casino, Hard Rock, faces similar deadline early Sunday. The union resume negotiations Borgata owner MGM Resorts International Thursday morning. Naked man broke car, homes, assaulted residents, Absecon police ABSECON A naked man arrested breaking car apartments assaulting residents Friday night, police said. Egg Harbor Township crash kills motorcyclist EGG HARBOR TOWNSHIP A Mays Landing man died Wednesday motorcycle crashed vehicle Black Horse Pike, police said. The best local coverage, unlimited Sign digital subscription The Press Atlantic City advantage great offer. LEARN MORE Watch Now: Related Video This rare, complete Gorgosaurus fossil auctioned Sothebys NYC Algerians marks 60 years independence military parade AP Algerians marks 60 years independence military parade Biden spotlights effort rescue union pensions AP Biden spotlights effort rescue union pensions This virtual reality patient save lives real ones AP This virtual reality patient save lives real ones Welcome discussion. Keep Clean. Please avoid obscene, vulgar, lewd, racist sexuallyoriented language.PLEASE TURN OFF YOUR CAPS LOCK.Dont Threaten. Threats harming person tolerated.Be Truthful. Dont knowingly lie anything.Be Nice. No racism, sexism sort ism degrading person.Be Proactive. Use Report link comment let know abusive posts.Share Us. Wed love hear eyewitness accounts, history article. PLEASE BE ADVISED: Soon longer integrate Facebook story comments. 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https://presstories.com/2022/11/02/this-ai-interacts-with-bees-which-worries-scientists/
| 2022-11-02T00:00:00 |
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This AI interacts with bees, which worries scientists
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This AI interacts with bees, which worries scientists
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This AI interacts with bees, which worries scientists
This AI interacts with bees, which worries scientists
Cary Douglas
Nov 02, 2022
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Artificial intelligence dedicated to understanding and learning the language of animals and insects is improving and could help overcome the communication barrier between species. A feat that presents inevitable and thorny ethical issues.
Vocabulary, syntax, conversational art… Researchers have long worked on the richness and complexity of animal communication. Everything speciesspecies Pigs, crows, cats and go through it DogsDogsMice and MonkeysAnd bees too.
The Dances What do these do? InsectsInsects Creates an authentic language that allows them to integrate into their work. This phenomenon has been studied since the 1940s and today, artificial intelligence is helping to go beyond the interpretation of this language.
So, according to 2018, researchers Dahlem Center for Machine Learning and Robotics Germany has developed a micro-robot called RoboBee that mimics the wriggling dance of bees. The robot is a simple sponge with wings that moves on a wire between other bees. It is a AI Who is in charge and it works, because some bees in the hive “hear” him. The bees followed Robobee’s instructions precisely. For this group, the next step is to grow the entire hive. For this, the researchers implant several robots in different hives and check if the colony accepts them as one of their own.
Handle wildlife
The interesting thing about AI is that it can analyze unique signals associated with behaviors and patterns. Speech Rather than trying to teach them ours. Without its power even work is impossible. This is the reverse of the approach taken with animalsanimals, for the past 60 years. Language was then human-centered. But communicating with bees and other animals through language is a goal that fascinates and worries researcher Karen Baker of the University of British Columbia in Canada.
See also Burian's visit confirmed! We reveal the exact instant date ILMETEO.itInterviewed Vox, he explains that the danger is that these AIs are used by humans to exploit animals and insects rather than actually trying to understand them. Bridging the communication barrier between organisms with the help of algorithms will indeed create a profound sense. relationship. In other words, according to the scientist, Anthropology Manipulation leads to unnatural breeding of wild species. He says this applies to all wildlife, not just bees. Even the biggest one MammalsMammals Elephants or Sperm whalesSperm whales whose MovementsMovementsbehaviors and Sounds are collected and analyzed by powerful AIs.
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This AI interacts with bees, which worries scientists
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This AI interacts bees, worries scientists 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 Science This AI interacts bees, worries scientists This AI interacts bees, worries scientists Cary Douglas Nov 02, 2022 0 Comments Tweet Twitter Share Facebook Google Pinterest Artificial intelligence dedicated understanding learning language animals insects improving help overcome communication barrier species. A feat presents inevitable thorny ethical issues. Vocabulary, syntax, conversational art Researchers long worked richness complexity animal communication. Everything speciesspecies Pigs, crows, cats DogsDogsMice MonkeysAnd bees too. The Dances What do? InsectsInsects Creates authentic language allows integrate work. This phenomenon studied 1940s today, artificial intelligence helping interpretation language. So, according 2018, researchers Dahlem Center Machine Learning Robotics Germany developed microrobot called RoboBee mimics wriggling dance bees. The robot simple sponge wings moves wire bees. It AI Who charge works, bees hive hear him. The bees followed Robobees instructions precisely. For group, step grow entire hive. For this, researchers implant robots different hives check colony accepts own. Handle wildlife The interesting thing AI analyze unique signals associated behaviors patterns. Speech Rather trying teach ours. Without power work impossible. This reverse approach taken animalsanimals, past 60 years. Language humancentered. But communicating bees animals language goal fascinates worries researcher Karen Baker University British Columbia Canada. See Burians visit confirmed We reveal exact instant date ILMETEO.itInterviewed Vox, explains danger AIs humans exploit animals insects actually trying understand them. Bridging communication barrier organisms help algorithms create profound sense. relationship. In words, according scientist, Anthropology Manipulation leads unnatural breeding wild species. He says applies wildlife, bees. Even biggest MammalsMammals Elephants Sperm whalesSperm whales MovementsMovementsbehaviors Sounds collected analyzed powerful AIs. Tweet Twitter Share Facebook Google Pinterest You May Also Like Russia sends giant magnet France ITER project Can SpongeBob Change Childrens Brainpower? Unnecessary Access PhD Inequality psychology A nearly 75year record fall The largest meteorite impact recorded Mars provides unexpected details planets interior structure Nest High: A Sign More Broads Come? About Author: Cary Douglas Beer trailblazer. Web buff. Problem solver. Pop culture fan. Hipsterfriendly travel aficionado. 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 2021 The Press Stories Home Top News World Companies Economy Sports Entertainment Form
| 2,022 |
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https://primefeed.in/coronavirus/4890892/global-field-service-mobile-apps-market-expeted-to-reach-xx-xx-mn-usd-with-growth-rate-of-x-x-by-2025-pandamic-impact-analysis-freshdesk-synchroteam-ai-field-management-mhelpdesk-housecall-pro-2/
| 2020-09-02T00:00:00 |
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Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc. – Owned
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Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc. – Owned
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HomeCoronavirusGlobal Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc.
Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc.
Posted On: September 2, 2020
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Overview and Executive Summary of the Field Service Mobile Apps MarketThis high end strategy based market specific Field Service Mobile Apps Market report presentation renders a thorough presentation of the market, evaluating it in terms of a range of parameters comprising market size and dynamics, dominant and popular trends, market share, investment planning, pricing strategies and driver based review that collectively lead to steady and long term growth in the global Field Service Mobile Apps.
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The study encompasses profiles of major companies operating in the Field Service Mobile Apps Market. Key players profiled in the report includes:
Freshdesk
Synchroteam
Ai Field Management
mHelpDesk
Housecall Pro
Service Fusion
WorkWave Service
Jobber
FieldEdge
ServiceTitan
ServiceWorks
Pointman
GoCanvas
ThermoGRID
simPRO
ServSuite
PestPac
Mobiwork MWS
360e
We Have Recent Updates of Field Service Mobile Apps Market in Sample [email protected] https://www.orbismarketreports.com/sample-request/92593?utm_source=Puja
Global Field Service Mobile Apps Market Dynamics• Drivers: Prevalent across both matured economies and developing regions alike• Barriers: A touchpoint featuring the core difficulties, threats and challenges experienced by market participants, also addressing threat probability• Opportunities: Briefly touching on consumption and production developments, competition intensity as well as growth rate across countries and regions.
This high end strategy based market specific Field Service Mobile Apps market report presentation renders a thorough presentation of the market, evaluating it in terms of a range of parameters comprising market size and dynamics, dominant and popular trends, market share, investment planning, pricing strategies and driver based review that collectively lead to steady and long term growth in the global Field Service Mobile Apps market.
Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
On Cloud
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Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding thevarious applications that the Field Service Mobile Apps market mediates for superlative end-user benefits.
Large Enterprises
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Regional Analysis Of 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)
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About Us : We are a team of highly professional researchers dedicated to unravel ongoing market developments. We are recognized as best in industry one stop store, offering intensively researched market-oriented information with superlative standards of impartiality and authenticity in order to rightfully influence favorable business decisions across a range of verticals.
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Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025
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Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc. Owned Owned Market Reports Analytics Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study HomeCoronavirusGlobal Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc. Global Field Service Mobile Apps Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Freshdesk, Synchroteam, Ai Field Management, mHelpDesk, Housecall Pro, etc. Posted On: September 2, 2020 Posted By: [emailprotected] Comments: 0 Overview Executive Summary Field Service Mobile Apps MarketThis high end strategy based market specific Field Service Mobile Apps Market report presentation renders thorough presentation market, evaluating terms range parameters comprising market size dynamics, dominant popular trends, market share, investment planning, pricing strategies driver based review collectively lead steady long term growth global Field Service Mobile Apps. Additionally, report Field Service Mobile Apps market takes consideration unique sudden outbreak COVID19 wrecked damaging implications holistic growth trail global Field Service Mobile Apps market. The study encompasses profiles major companies operating Field Service Mobile Apps Market. Key players profiled report includes: Freshdesk Synchroteam Ai Field Management mHelpDesk Housecall Pro Service Fusion WorkWave Service Jobber FieldEdge ServiceTitan ServiceWorks Pointman GoCanvas ThermoGRID simPRO ServSuite PestPac Mobiwork MWS 360e We Have Recent Updates Field Service Mobile Apps Market Sample [emailprotected] Global Field Service Mobile Apps Market Dynamics Drivers: Prevalent matured economies developing regions alike Barriers: A touchpoint featuring core difficulties, threats challenges experienced market participants, addressing threat probability Opportunities: Briefly touching consumption production developments, competition intensity growth rate countries regions. This high end strategy based market specific Field Service Mobile Apps market report presentation renders thorough presentation market, evaluating terms range parameters comprising market size dynamics, dominant popular trends, market share, investment planning, pricing strategies driver based review collectively lead steady long term growth global Field Service Mobile Apps market. Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. On Cloud On Premise Analysis Application: Further subsequent sections report, research analysts rendered precise judgement thevarious applications Field Service Mobile Apps market mediates superlative enduser benefits. Large Enterprises Small Mediumsized EnterprisesSMEs Browse Full Report Facts Figures Field Service Mobile Apps Market Report @ 7 Reasons For Report Investment A deep insight review best industry practices growth intended participant activities A review significant market developments, trigger points optimistic business strategies influencing growth A demonstrative evaluation market segments A complete assessment competition intensity players A systematic assessment historical growth future probabilities forecasts A methodical analysis assessment market events, encapsulating catastrophes Regional Analysis Of 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 Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Regional Growth Trend Evaluation: Global Field Service Mobile Apps Market This intricately designed articulated research report Field Service Mobile Apps market sheds versatile understanding market overview, stating pertinent details leading market participants, including details upstream downstream market developments. Details vital areas raw material supply trends, downstream demands equipment profiling included report ensure thorough reader comprehension aspects facets Field Service Mobile Apps market, ensuring high end growth. : We team highly professional researchers dedicated unravel ongoing market developments. We recognized best industry stop store, offering intensively researched marketoriented information superlative standards impartiality authenticity order rightfully influence favorable business decisions range verticals. Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Prev Post Owned Everestthemes
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https://primefeed.in/market-study/5622057/coronavirus-impact-editon-of-central-vascular-access-devices-market-report-2021-future-development-top-manufacturers-technological-advancement-share-size-and-forecast-becton-dickinson-and-company/
| 2021-05-04T00:00:00 |
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Coronavirus Impact Editon of Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany) – Owned
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Coronavirus Impact Editon of Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany) – Owned
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Coronavirus Impact Editon of Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany)
Post author
By Jason Smith
Post date
May 4, 2021
Report is a detailed study of the Central Vascular Access Devices market, which covers all the essential information required by a new market entrant as well as the existing players to gain a deeper understanding of the market.The primary objective of this research report named Central Vascular Access Devices market is to help making reliable strategic decisions regarding the opportunities in Central Vascular Access Devices market. It offers business accounts, industry investors, and industry segments with consequential insights enhancing decision making ability.[email protected] or call us on +1-312-376-8303.
Request Report from CMR Website:https://www.cognitivemarketresearch.com/medical-devices–consumables/central-vascular-access-devices-market-report
Global and Regional Central Vascular Access Devices Market Segmentation by Type:
Peripherally inserted central catheters (PICC), Tunneled catheters, Non tunneled catheters, Implanted ports
Global Central Vascular Access Devices Market Segmentation by Applications:
Drug administration, Fluid and nutrition administration, Blood transfusion, Diagnostics & testing
Major Market Players with an in-depth analysis:
Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany), NIPRO Medical Corporation (Japan), Edwards Lifesciences Corporation (U.S.), Terumo Corporation (Japan), Vygon Ltd. (U.K.), Ameco Medical (Egypt), AngioDynamics (U.S.), Romsons Scientific & Surgical Pvt. Ltd. (India), PRODIMED (France)
Request Free Sample Copy of Central Vascular Access Devices Market Research [email protected] https://www.cognitivemarketresearch.com/medical-devices–consumables/central-vascular-access-devices-market-report#download_report
The Central Vascular Access Devices market report offers the current state of the market around the world. The report starts with the market outline and key components of the Central Vascular Access Devices market which assumes a significant job for clients to settle on the business choice. It additionally offers the key focuses to upgrade the development in the Central Vascular Access Devices market. Some fundamental ideas are likewise secured by reports, for example, item definition, its application, industry esteem chain structure and division which help the client to break down the market without any problem. Also, the report covers different factors, for example, arrangements, efficient and innovative which are affecting the Central Vascular Access Devices business and market elements.
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—>
Download Sample Report of Central Vascular Access Devices Market Report 2020 (Coronavirus Impact Analysis on Central Vascular Access Devices Market)
The research comprises primary information about the products. Similarly, it includes supply-demand statistics, and segments that constrain the growth of an industry. It also includes raw materials used and manufacturing process of Central Vascular Access Devices market. Additionally, report provides market drivers and challenges & opportunities for overall market in the particular provincial sections.
Competitive Analysis has been done to understand overall market which will be helpful to take decisions. Major players involved in the manufacture of Central Vascular Access Devices product has been completely profiled along with their SWOT. Some of the key players include Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany), NIPRO Medical Corporation (Japan), Edwards Lifesciences Corporation (U.S.), Terumo Corporation (Japan), Vygon Ltd. (U.K.), Ameco Medical (Egypt), AngioDynamics (U.S.), Romsons Scientific & Surgical Pvt. Ltd. (India), PRODIMED (France). It helps in understanding their strategy and activities. Business strategy described for every company helps to get idea about the current trends of company. The industry intelligence study of the Central Vascular Access Devices market covers the estimation size of the market each in phrases of value (Mn/Bn USD) and volume (tons). Report involves detailed chapter on COVID 19 and its impact on this market. Additionally, it involves changing consumer behavior due to outbreak of COVID 19.
Further, report consists of Porter’s Five Forces and BCG matrix as well as product life cycle to help you in taking wise decisions. Additionally, this report covers the inside and out factual examination and the market elements and requests which give an entire situation of the business.
Regional Analysis for Central Vascular Access Devices
• 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)
DOWNLOAD FREE SAMPLE [email protected]: https://www.cognitivemarketresearch.com/medical-devices–consumables/central-vascular-access-devices-market-report#download_report
Chapters Define in TOC (Table of Content) of the Report:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation
Overview
Chapter 2: COVID Impact
Chapter 3: Market Competition by Manufacturers
Chapter 4: Production by Regions
Chapter 5: Consumption by Regions
Chapter 6: Production, By Types, Revenue and Market share by Types
Chapter 7: Consumption, By Applications, Market share (%) and Growth Rate by
Applications
Chapter 8: Complete profiling and analysis of Manufacturers
Chapter 9: Manufacturing cost analysis, Raw materials analysis, Region-wise
Manufacturing expenses
Chapter 10: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 11: Marketing Strategy Analysis, Distributors/Traders
Chapter 12: Market Effect Factors Analysis
Chapter 13: Market Forecast
Chapter 14: Central Vascular Access Devices Research Findings and Conclusion, Appendix, methodology and data source To check the complete Table of Content click here: @ https://www.cognitivemarketresearch.com/medical-devices–consumables/central-vascular-access-devices-market-report#table_of_contents
The qualitative contents for geographical analysis will cover market trends in each region and country which includes highlights of the key players operating in the respective region/country, PEST analysis of each region which includes political, economic, social and technological factors influencing the growth of the market. The research report includes specific segments by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2015 to 2027.
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Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients.
Contact Us: +1-312-376-8303
Email: [email protected]
Web: https://www.cognitivemarketresearch.com/
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Coronavirus Impact Editon of Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Becton Dickinson and Company (U.S.), C. R. Bard Inc. (U.S.), Smiths Medical Inc. (U.K.), Teleflex Incorporated (U.S.), B.Braun Melsungen AG (Germany)
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Coronavirus Impact Editon Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Becton Dickinson Company U.S., C. R. Bard . U.S., Smiths Medical . U.K., Teleflex orporated U.S., B.Braun Melsungen AG Germany 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 Market Study Coronavirus Impact Editon Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Becton Dickinson Company U.S., C. R. Bard . U.S., Smiths Medical . U.K., Teleflex orporated U.S., B.Braun Melsungen AG Germany Post author By Jason Smith Post date May 4, 2021 Report detailed study Central Vascular Access Devices market, covers essential information required new market entrant existing players gain deeper understanding market.The primary objective research report named Central Vascular Access Devices market help making reliable strategic decisions opportunities Central Vascular Access Devices market. It offers business accounts, industry investors, industry segments consequential insights enhancing decision making ability.[emailprotected] 13123768303. Request Report CMR Website: Global Regional Central Vascular Access Devices Market Segmentation Type: Peripherally inserted central catheters PICC, Tunneled catheters, Non tunneled catheters, Implanted ports Global Central Vascular Access Devices Market Segmentation Applications: Drug administration, Fluid nutrition administration, Blood transfusion, Diagnostics testing Major Market Players indepth analysis: Becton Dickinson Company U.S., C. R. Bard . U.S., Smiths Medical . U.K., Teleflex orporated U.S., B.Braun Melsungen AG Germany, NIPRO Medical Corporation Japan, Edwards Lifesciences Corporation U.S., Terumo Corporation Japan, Vygon Ltd. U.K., Ameco Medical Egypt, AngioDynamics U.S., Romsons Scientific Surgical Pvt. Ltd. India, PRODIMED France Request Free Sample Copy Central Vascular Access Devices Market Research [emailprotected] The Central Vascular Access Devices market report offers current state market world. The report starts market outline key components Central Vascular Access Devices market assumes significant job clients settle business choice. It additionally offers key focuses upgrade development Central Vascular Access Devices market. Some fundamental ideas likewise secured reports, example, item definition, application, industry esteem chain structure division help client break market problem. Also, report covers different factors, example, arrangements, efficient innovative affecting Central Vascular Access Devices business market elements. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Central Vascular Access Devices Market Report 2020 Coronavirus Impact Analysis Central Vascular Access Devices Market The research comprises primary information products. Similarly, includes supplydemand statistics, segments constrain growth industry. It includes raw materials manufacturing process Central Vascular Access Devices market. Additionally, report provides market drivers challenges opportunities overall market particular provincial sections. Competitive Analysis understand overall market helpful decisions. Major players involved manufacture Central Vascular Access Devices product completely profiled SWOT. Some key players include Becton Dickinson Company U.S., C. R. Bard . U.S., Smiths Medical . U.K., Teleflex orporated U.S., B.Braun Melsungen AG Germany, NIPRO Medical Corporation Japan, Edwards Lifesciences Corporation U.S., Terumo Corporation Japan, Vygon Ltd. U.K., Ameco Medical Egypt, AngioDynamics U.S., Romsons Scientific Surgical Pvt. Ltd. India, PRODIMED France. It helps understanding strategy activities. Business strategy described company helps idea current trends company. The industry intelligence study Central Vascular Access Devices market covers estimation size market phrases value MnBn USD volume tons. Report involves detailed chapter COVID 19 impact market. Additionally, involves changing consumer behavior outbreak COVID 19. Further, report consists Porters Five Forces BCG matrix product life cycle help taking wise decisions. Additionally, report covers inside factual examination market elements requests entire situation business. Regional Analysis Central Vascular Access Devices North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa DOWNLOAD FREE SAMPLE [emailprotected]: Chapters Define TOC Table Content Report: Chapter 1: Market Overview, Drivers, Restraints Opportunities, Segmentation Overview Chapter 2: COVID Impact Chapter 3: Market Competition Manufacturers Chapter 4: Production Regions Chapter 5: Consumption Regions Chapter 6: Production, By Types, Revenue Market share Types Chapter 7: Consumption, By Applications, Market share Growth Rate Applications Chapter 8: Complete profiling analysis Manufacturers Chapter 9: Manufacturing cost analysis, Raw materials analysis, Regionwise Manufacturing expenses Chapter 10: Industrial Chain, Sourcing Strategy Downstream Buyers Chapter 11: Marketing Strategy Analysis, DistributorsTraders Chapter 12: Market Effect Factors Analysis Chapter 13: Market Forecast Chapter 14: Central Vascular Access Devices Research Findings Conclusion, Appendix, methodology data source To check complete Table Content click here: @ The qualitative contents geographical analysis cover market trends region country includes highlights key players operating respective regioncountry, PEST analysis region includes political, economic, social technological factors influencing growth market. The research report includes specific segments Type Application. This study provides information sales revenue historic forecasted period 2015 2027. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. Us: 13123768303 Email: [emailprotected] Web: Download Entire Report Post Coronavirus Impact Editon Infusion Pump Accessories Market 2021 COVID 19 Impact Analysis Updated Edition Top Players lude, Becton Dickinson Company BD, B. Braun Melsungen Ag, Baxter International , Fresenius Se Co. KGAA, Hospira 236 for: BlogAnatomic Pathology Track Trace Solution Market 2021 Size, Growth Analysis Report, Forecast 2029: Trends Market Researchlatest Research Report Natural Extracts Market Overview With Detailed Analysis, Competitive Landscape, Forecast 2027Global Quick Release Fittings Market Analysis Trends, Outlook, Growth Insight, Emerging Technologies, Forecast 2026Global Luxury Lipstick Market Statistics, Development Growth 20212026Global Ecofriendly Tableware Market Statistics, Development Growth 2020Global Soundbars Market Size, Share, Price, Trend Forecast , Value, And Competitive Landscape 2021Global Display Mask Market Size, Share, Value, And Competitive Landscape 2021 2026Global Medical Grade TPEs Market 2020 Development Analysis HEXPOL TPE, Kraiburg TPE, RTP Company, PolyOne20212026 Software Localization Tools Market: Analysis Business Growth, Development Factors, Applications, Future ProspectsSuperluminescent Diodes SLDs Market 2027 Future Growth Opportunities Dazzling Key Thorlabs, Anritsu, QphotonicsSierra Nevada Corporation spin space sector separate firmTelesat plans raise 500 million boost Lightspeed Broadband constellation projectWhy Are Solar Projects reasing Cost?Tests York Space Systems Autonomous Operations Upgrade all, successfulHawkEye 360 raises 55 Million support building satellitesAstrobotic use SpaceXs Falcon Heavy launcher Griffin lunar landerResilience, Crew Dragon SpaceX, recently shifted Docking PortSpaceX adds new round fundingInSight Mars Lander Turmoil gone Emergency Hibernation ModeKorea Aerospace Industries inject 880 million space business years Recent Posts Coronavirus Impact Editon Central Vascular Access Devices Market Report 2021 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Becton Dickinson Company U.S., C. R. Bard . U.S., Smiths Medical . U.K., Teleflex orporated U.S., B.Braun Melsungen AG Germany Post Coronavirus Impact Editon Infusion Pump Accessories Market 2021 COVID 19 Impact Analysis Updated Edition Top Players lude, Becton Dickinson Company BD, B. Braun Melsungen Ag, Baxter International , Fresenius Se Co. KGAA, Hospira 236 May 2021 Global Research Antibodies Reagents Coronavirus Impact Editon Insights COVID19 Impact Analysis 2020Becton Dickinson Company, Thermo Fisher Scientific ., Bio Rad Laboratories ., F. Hoffmann La Roche Ltd., Merck Millipore Global Medication Packaging Systems Market Report 2021 Detailed Impact Analysis COVID19, Future Growth Companies, Opportunities Challenges Becton Dickinson Company, Omnicell, Swisslog KUKA Group, YUYAMA, TOSHO May 2021 Global Cetylpyridinium Chloride Market Research Study 2021 Key Companies Beckmann Kenko GmbH, BOC Sciences, HBCChem ., Target molecule Corp., Jubilant Organosys Ltd. 2021 Owned Powered WordPress To Up
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Global Artificial Intelligence in Marketing Market 2020 Trends Analysis and (COVID-19) Effect Analysis | Key Players Market With COVID-19 Impact Analysis | In Depth Insight | Growth & Research Finding TO 2026 – PRnews Leader
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Global Artificial Intelligence in Marketing Market 2020 Trends Analysis and (COVID-19) Effect Analysis | Key Players Market With COVID-19 Impact Analysis | In Depth Insight | Growth & Research Finding TO 2026
Post author
By seiyanahata
Post date
May 30, 2021
Global Artificial Intelligence in Marketing Market Report Covers Market Dynamics, Market Size, And Latest Trends Amid The COVID-19 Pandemic
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• Production, Revenue (Value), Price Trend by Type
• Market Analysis by Application
• Cost Analysis
• Industrial Chain, Sourcing Strategy, and Downstream Buyers
• Marketing Strategy Analysis, Distributors/Traders
• Market Effect Factors Analysis
This informative report provides some of the vital details about the Artificial Intelligence in Marketing market regarding segmentation {Cloud, On Premises}; {BFSI, Retail & E-commerce, Government, IT & Telecommunication, Healthcare, Commercial Organization, Others} such as application in various sectors, product type bifurcations, supply and demand statistics, and growth factors, which are commonly required for the potential positive growth and development.
Key questions answered by the report:
• What are the major trends that are constantly influencing the growth of the Artificial Intelligence in Marketing market?
• Which are the prominent regions that offer immense prospects for players in the Artificial Intelligence in Marketing market?
• What are the business strategies adopted by key players to sustain in the global Artificial Intelligence in Marketing market?
• What is the expected size and growth rate of the global Artificial Intelligence in Marketing market during the forecast period?
• What are the factors impacting the growth of the global Artificial Intelligence in Marketing market?
• What are the challenges and threats faced by key players in the Artificial Intelligence in Marketing market?
Enquire Here Get customization & check discount for report@ https://www.marketdataanalytics.biz/global-artificial-intelligence-in-marketing-market-report-2020-by-74248.html#inquiry-for-buying
Along with the market bifurcations, there is detailing about strategic means inculcated by the dominant players so as to carve out a name for themselves in the market. With a solitary click, the entire interface is displayed with the Artificial Intelligence in Marketing market details mentioned in a brief and smooth-tongued format for all the laymen and business entrepreneurs present across the world.
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Global Artificial Intelligence Marketing Market 2020 Trends Analysis COVID19 Effect Analysis Key Players Market With COVID19 Impact Analysis In Depth Insight Growth Research Finding TO 2026 PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories Coronavirus Global Artificial Intelligence Marketing Market 2020 Trends Analysis COVID19 Effect Analysis Key Players Market With COVID19 Impact Analysis In Depth Insight Growth Research Finding TO 2026 Post author By seiyanahata Post date May 30, 2021 Global Artificial Intelligence Marketing Market Report Covers Market Dynamics, Market Size, And Latest Trends Amid The COVID19 Pandemic For obtaining entire summary theArtificial Intelligence Marketing market, read mentioned report grasp vital futuristic present innovative trends mentioned record. The Artificial Intelligence Marketing market factors including growth benefits, product sales, customer demands, economic flexibilities, applications, entire market segmentation detailed wellpatterned format. Click free sample copy Artificial Intelligence Marketing Market report On global scale, Artificial Intelligence Marketing market shown crossed profit bar inclusion endless strategies like government regulations, specific industrial policies, product expenditure analysis, future events. The focus dominating players Salesforce, Alphabet, Baidu, Sentient Technologies, IBM, Insidesales, Mariana, Persado, Intel, Microsoft, Oracle, Nvidia, Oculus360, Twitter, Albert Technologies, Samsung Electronics, Amazon, Xilinx, Facebook, Micron Artificial Intelligence Marketing market gives idea growth enhancement experienced global platform. Key Insights encompassed Artificial Intelligence Marketing market report Latest technological advancement Artificial Intelligence Marketing market Studying pricing analysis market strategies trailed market players enhance global Artificial Intelligence Marketing market growth Regional development status Artificial Intelligence Marketing market impact COVID19 different regions Detailing supplydemand chain, market valuation, drivers, The Artificial Intelligence Marketing market report provides clients entrepreneurs market statistics, applications, product type, endusers, topological growth, market funds, diamondlike transparent format. The topological bifurcation North America United States, Canada Mexico, Europe Germany, UK, France, Italy, Russia Turkey etc., AsiaPacific China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia Vietnam, South America Brazil, Argentina, Columbia etc., Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa important order study overall market growth development. The current report beams light futuristic scopes alterations needed industrial government strategy benefit global market. Read Detailed Index Research Study at:: An Overview About Table Contents: Global Artificial Intelligence Marketing Market Overview Target Audience Artificial Intelligence Marketing Market Economic Impact Artificial Intelligence Marketing Market Global Artificial Intelligence Marketing Market Forecast Business Competition Manufacturers Production, Revenue Value Region Production, Revenue Value, Price Trend Type Market Analysis Application Cost Analysis Industrial Chain, Sourcing Strategy, Downstream Buyers Marketing Strategy Analysis, DistributorsTraders Market Effect Factors Analysis This informative report provides vital details Artificial Intelligence Marketing market segmentation Cloud, On Premises; BFSI, Retail Ecommerce, Government, IT Telecommunication, Healthcare, Commercial Organization, Others application sectors, product type bifurcations, supply demand statistics, growth factors, commonly required potential positive growth development. Key questions answered report: What major trends constantly influencing growth Artificial Intelligence Marketing market? Which prominent regions offer immense prospects players Artificial Intelligence Marketing market? What business strategies adopted key players sustain global Artificial Intelligence Marketing market? What expected size growth rate global Artificial Intelligence Marketing market forecast period? What factors impacting growth global Artificial Intelligence Marketing market? What challenges threats faced key players Artificial Intelligence Marketing market? Enquire Here Get customization check discount report@ Along market bifurcations, detailing strategic means inculcated dominant players carve market. With solitary click, entire interface displayed Artificial Intelligence Marketing market details mentioned brief smoothtongued format laymen business entrepreneurs present world. Why Choose Market Data Analytics reports? 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Google News TemperatureControlled Packaging Solutions Food Beverage Market 2020 Analysis, Growth, Vendors, Type, Product Analysis, Shares, Drivers, Challenges Forecast 2025Global Nano Programmable Logic Controller PLC Market Insight Strategy 2019 2025 InnoVista Sensors, Schneider Electric, SiemensWhat Does Future Hold Butt Tee Welder Market?PCTA Market Forecasted Growth, Trends, Analysis, Current Scenario Global Ice Hockey Skates Market 2019 Industry Analysis, Size, Share, Strategies Forecast 2025Patient Engagement Solutions Market Global Industry Analysis, Trends Forecast, 2015 2021Explores emerging Spain Power market landscape, strategies, spending, product portfolio outlook 20202026Drug Delivery Technologies Market: Quantitative Analysis, Current Future Trends, 20202025Global Auto Lube Systems Market 2019 Evolving Technology, Business Competitors, Key Companies Forecast 2025Craniomaxillofacial Implants Market Top key Players, Size, Share, Demand, Opportunities And Forecasts To 2025 2021 PRnews Leader Powered WordPress To Up
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Machine Learning in Medicine Market Size 2020 By Product Types, End-Users, Regional Outlook, Growth, Trends And Forecast To 2027 | Market Research Intellect
Post author
By Joseph Watson
Post date
October 28, 2020
New Jersey, United States,- The Machine Learning in Medicine Market Size And Forecast to 2027
The Machine Learning in Medicine Market report entails a comprehensive database on future market estimation based on historical data analysis. It enables the clients with quantified data for current market perusal. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and regional analysis. Listed out are key players, major collaborations, merger & acquisitions along with upcoming and trending innovation. Business policies are reviewed from the techno-commercial perspective demonstrating better results. The report contains granular information & analysis pertaining to the Machine Learning in Medicine Market size, share, growth, trends, segment and forecasts from 2020-2027.
With an all-round approach for data accumulation, the market scenarios comprise major players, cost and pricing operating in the specific geography/ies. Statistical surveying used are SWOT analysis, PESTLE analysis, predictive analysis, and real-time analytics. Graphs are clearly used to support the data format for clear understanding of facts and figures.
Get a sample copy of the report including the analysis of COVID-19 impact @ https://www.marketresearchintellect.com/download-sample/?rid=408593
The report provides a comprehensive analysis of the major market players in the market along with their business overview, expansion plans, and strategies. The main players examined in the report are:
Google
Bio Beats
Jvion
Lumiata
DreaMed
Healint
Arterys
Atomwise
Health Fidelity
Ginger
In Market Segmentation by Machine Learning in Medicine Types, the report includes:
Supervised Learning
Unsupervised Learning
Reinforced Leaning
When segmenting the market by application of Machine Learning in Medicine, the report covers the following uses:
Diagnosis
Drug Discovery
Others
Furthermore, the report includes the growth rate of the global market, consumption tables, facts, figures, and statistics of key segments.
Request a Discount on the Report @ https://www.marketresearchintellect.com/ask-for-discount/?rid=408593
By Regions:
North America (The US, Canada, and Mexico)
Europe (Germany, France, the UK, and Rest of the World)
Asia Pacific (China, Japan, India, and Rest of Asia Pacific)
Latin America (Brazil and Rest of Latin America.)
Middle East & Africa (Saudi Arabia, the UAE, , South Africa, and Rest of Middle East & Africa)
Years Considered to Estimate the Market Size:
History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year: 2020-2027
Buy Now report with Analysis of COVID-19 [$2999] @ https://www.marketresearchintellect.com/checkout/?buyreport=408593
Important Facts about Machine Learning in Medicine Market Report:
This research report encompasses Machine Learning in Medicine Market overview, market share, demand and supply ratio, supply chain analysis, and import/export details.
The report has different approaches and procedures endorsed by Key Market players that enable efficient business decisions.
The report offers information such as production value, strategies adopted by market players and products/services they provide.
What Our Report Offers:
Market share valuations of the segments on country and global level
Share analysis of the major market players
Opportunities for new market entrants
Market forecast for a minimum of 6 years for all the segments, sub-segments in various countries and regions
Market Trends (drivers, restraints, opportunities, threats, challenges, investment opportunities, and approvals)
Strategic endorsements in key business segments on the basis of market valuations
Competitive scenario mapping the key development patterns.
Company profiling with comprehensive strategies, financial details, and recent progressions.
Supply chain trends representing the latest technological advancements.
You can find more information about the report at @ https://www.marketresearchintellect.com/product/global-machine-learning-in-medicine-market-size-and-forecast/
Thanks for reading our report. Please contact us to learn more about reporting and customization options. Our team will make sure the report meets your requirements.
About Us:
Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage, and more. These reports deliver an in-depth study of the market with industry analysis, the market value for regions and countries, and trends that are pertinent to the industry.
Contact Us:
Mr. Steven Fernandes
Market Research Intellect
New Jersey ( USA )
Tel: +1-650-781-4080
Website – https://www.marketresearchintellect.com/
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Machine Learning in Medicine Market Analysis, Machine Learning in Medicine Market Forecast, Machine Learning in Medicine Market Growth, Machine Learning in Medicine Market Size, Machine Learning in Medicine market trends
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Machine Learning Medicine Market Size 2020 By Product Types, EndUsers, Regional Outlook, Growth, Trends And Forecast To 2027 Market Research Intellect PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Machine Learning Medicine Market Size 2020 By Product Types, EndUsers, Regional Outlook, Growth, Trends And Forecast To 2027 Market Research Intellect Post author By Joseph Watson Post date October 28, 2020 New Jersey, United States, The Machine Learning Medicine Market Size And Forecast 2027 TheMachine Learning Medicine Marketreport entails comprehensive database future market estimation based historical data analysis. It enables clients quantified data current market perusal. It professional detailed report focusing primary secondary drivers, market share, leading segments regional analysis. Listed key players, major collaborations, merger acquisitions upcoming trending innovation. Business policies reviewed technocommercial perspective demonstrating better results. The report contains granular information analysis pertaining Machine Learning Medicine Market size, share, growth, trends, segment forecasts 20202027. With allround approach data accumulation, market scenarios comprise major players, cost pricing operating specific geographyies. Statistical surveying SWOT analysis, PESTLE analysis, predictive analysis, realtime analytics. Graphs clearly support data format clear understanding facts figures. Get sample copy report including analysis COVID19 impact @ The report provides comprehensive analysis major market players market business overview, expansion plans, strategies. The main players examined report are: Google Bio Beats Jvion Lumiata DreaMed Healint Arterys Atomwise Health Fidelity Ginger In Market Segmentation Machine Learning Medicine Types, report includes: Supervised Learning Unsupervised Learning Reinforced Leaning When segmenting market application Machine Learning Medicine, report covers following uses: Diagnosis Drug Discovery Others Furthermore, report includes growth rate global market, consumption tables, facts, figures, statistics key segments. Request Discount Report @ By Regions: North AmericaThe US, Canada, Mexico EuropeGermany, France, UK, Rest World Asia PacificChina, Japan, India, Rest Asia Pacific Latin AmericaBrazil Rest Latin America. Middle East AfricaSaudi Arabia, UAE, , South Africa, Rest Middle East Africa Years Considered Estimate Market Size: History Year: 20152019Base Year: 2019Estimated Year: 2020Forecast Year: 20202027 Buy Now report Analysis COVID19 [2999] @ Important Facts Machine Learning Medicine Market Report: This research report encompasses Machine Learning Medicine Market overview, market share, demand supply ratio, supply chain analysis, importexport details. The report different approaches procedures endorsed Key Market players enable efficient business decisions. The report offers information production value, strategies adopted market players productsservices provide. What Our Report Offers: Market share valuations segments country global level Share analysis major market players Opportunities new market entrants Market forecast minimum 6 years segments, subsegments countries regions Market Trends drivers, restraints, opportunities, threats, challenges, investment opportunities, approvals Strategic endorsements key business segments basis market valuations Competitive scenario mapping key development patterns. Company profiling comprehensive strategies, financial details, recent progressions. Supply chain trends representing latest technological advancements. You information report @ Thanks reading report. Please contact learn reporting customization options. Our team sure report meets requirements. : Market Research Intellect provides syndicated customized research reports clients industries organizations aim delivering functional expertise. We provide reports industries including Energy, Technology, Manufacturing Construction, Chemicals Materials, Food Beverage, more. These reports deliver indepth study market industry analysis, market value regions countries, trends pertinent industry. Us: Mr. Steven Fernandes Market Research Intellect New Jersey USA Tel: 16507814080 Website Tags Machine Learning Medicine Market Analysis, Machine Learning Medicine Market Forecast, Machine Learning Medicine Market Growth, Machine Learning Medicine Market Size, Machine Learning Medicine market trends Task Management Software Market Report 2020 Competitive Landscape, Trends, Opportunities Forecast 2025 Butyl Butyrate Market Size 2020 By Product Types, EndUsers, Regional Outlook, Growth, Trends And Forecast To 2027 Market Research Intellect for: Recent Posts Auto Draft Compressed Air Energy Storage Market Platforms, Offering, Significant Growth Forecast 2027 SustainX, Apex CAES, Bright Energy Storage Technologies, Gaelectric, Pacific Gas Electric Company Competencybased Education Spending Market SWOT Analysis, Share, Future Extension, Challenging Opportunity And Forecast Period By 2026 Affluence Market Reports Offshore Wind Energy Market Study Report 20202027, Competitive Analysis, Proposal Strategy, Potential Targets, Assessment And Recommendations Siemens, MHI Vestas, ABB, General Electric, EEW Group, A2Sea, Nexans, Adwen Offshore, Statoil, Orsted, Senvion, Sinovel, Petrofac, Vestas Wind Systems, Goldwind Science Technology, Gamesa Corporacion Technologica, Dong Energy, Suzlon, Nordex, China Ming Yang Wind Power, Alstom Energy, Areva Wind, Clipper Wind Power, Doosan Heavy Industries, Construction Impact Of Covid 19 On Sexually Transmitted Disease STD Drug Market 2020 Industry Challenges Business Overview And Forecast Research Study 2026 Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log Entries feed Comments feed 2020 PRnews Leader Powered WordPress To Up
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Artificial Intelligence In Military Market Size 2020 Growth Rate by Applications, Product Type and Future Forecast 2027 | Raytheon , Lockheed Martin , Northrop Grumman , Ibm , Thales Group , General Dynamics , Nvidia – PRnews Leader
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Artificial Intelligence In Military Market Size 2020 Growth Rate by Applications, Product Type and Future Forecast 2027 | Raytheon , Lockheed Martin , Northrop Grumman , Ibm , Thales Group , General Dynamics , Nvidia
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October 15, 2020
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New Jersey, United States,- The Artificial Intelligence In Military Market report provides an in-depth analysis of the current and future state of the Artificial Intelligence In Military industry. The Artificial Intelligence In Military Market Report presents emerging trends and market dynamics regarding drivers, opportunities, and challenges. The report covers the details of suppliers, consumers, and the level of competition. It also includes Artificial Intelligence In Military Market Size, Revenue, Share, Industry Growth Rate, and Revenue. The Artificial Intelligence In Military market report has an essential list of key aspects of Artificial Intelligence In Military that includes leading market players along with their profiles and key financial data.
The most recent Artificial Intelligence In Military market report has extensive documentation of this industry while also showing the consumption and production patterns. The report provides information on key drivers, challenges, threats, and opportunities that are influencing market dynamics. It also includes Porter’s Five Forces Analysis to examine the industry’s competitive matrix.
Get a sample copy of the report including the analysis of COVID-19 impact @ https://www.marketresearchintellect.com/download-sample/?rid=193257
The study draws attention to various trading tactics that can be used to generate returns. However, due to the recent COVID-19 outbreak, the market will have some uncertainties. The research, therefore, focuses on the impact of the coronavirus pandemic on the industry scenario over the forecast period and suggests a coping mechanism for better results.
The report provides an in-depth analysis of the major market players along with their business overview, expansion plans, and strategies. The main actors examined in the report are:
Lockheed Martin
Raytheon
Northrop Grumman
Ibm
Thales Group
General Dynamics
Nvidia
Bae Systems
The report covers the global Artificial Intelligence In Military Market size in terms of value chain, production and consumption quota. The report considers 2017-2018 as historical years, 2019 as the base year and the forecast calendar 2020-2027. It also covers the market breakdown in terms of top manufacturers, key regions, types of products offered in the market and range of applications.
Request a Discount on the Report @ https://www.marketresearchintellect.com/ask-for-discount/?rid=193257
Artificial Intelligence In Military Market by Type Segments:
Learning And Intelligence
Advanced Computing
Ai Systems
Artificial Intelligence In Military Market by Application Segments:
Information Processing
Cyber Security
Others
Artificial Intelligence In Military Market by Regional Segments:
The chapter on regional segmentation details the regional aspects of the Artificial Intelligence In Military market. This chapter explains the regulatory framework that is likely to impact the overall market. It highlights the political scenario in the market and anticipates its influence on the Artificial Intelligence In Military market.
The Middle East and Africa (GCC Countries and Egypt)
North America (the United States, Mexico, and Canada)
South America (Brazil etc.)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
Buy Now report with Analysis of COVID-19 [$2999] @ https://www.marketresearchintellect.com/checkout/?buyreport=193257
Report Highlights
Comprehensive pricing analysis on the basis of product, application, and regional segments
The detailed assessment of the vendor landscape and leading companies to help understand the level of competition in the Artificial Intelligence In Military market
Deep insights about regulatory and investment scenarios of the Artificial Intelligence In Military market
Analysis of market effect factors and their impact on the forecast and outlook of the Artificial Intelligence In Military market
A roadmap of growth opportunities available in the Artificial Intelligence In Military market with the identification of key factors
The exhaustive analysis of various trends of the Artificial Intelligence In Military market to help identify market developments
Request customization of the report @ https://www.marketresearchintellect.com/need-customization/?rid=193257
Table of Contents
Report Overview: It includes six chapters, viz. research scope, major manufacturers covered, market segments by type, Artificial Intelligence In Military market segments by application, study objectives, and years considered.
Global Growth Trends: There are three chapters included in this section, i.e. industry trends, the growth rate of key producers, and production analysis.
Artificial Intelligence In Military Market Share by Manufacturer: Here, production, revenue, and price analysis by the manufacturer are included along with other chapters such as expansion plans and merger and acquisition, products offered by key manufacturers, and areas served and headquarters distribution.
Market Size by Type: It includes analysis of price, production value market share, and production market share by type.
Market Size by Application: This section includes Artificial Intelligence In Military market consumption analysis by application.
Profiles of Manufacturers: Here, leading players of the Artificial Intelligence In Military market are studied based on sales area, key products, gross margin, revenue, price, and production.
Artificial Intelligence In Military Market Value Chain and Sales Channel Analysis: It includes customer, distributor, Artificial Intelligence In Military market value chain, and sales channel analysis.
Market Forecast – Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.
Get More Information @ https://www.marketresearchintellect.com/product/global-artificial-intelligence-in-military-market-size-and-forecast/
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Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage, and more. These reports deliver an in-depth study of the market with industry analysis, the market value for regions and countries, and trends that are pertinent to the industry.
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Market Research Intellect
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Artificial Intelligence In Military Market Size 2020 Growth Rate Applications, Product Type Future Forecast 2027 Raytheon , Lockheed Martin , Northrop Grumman , Ibm , Thales Group , General Dynamics , Nvidia PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Artificial Intelligence In Military Market Size 2020 Growth Rate Applications, Product Type Future Forecast 2027 Raytheon , Lockheed Martin , Northrop Grumman , Ibm , Thales Group , General Dynamics , Nvidia Post author By Adam Z Post date October 15, 2020 No Comments Artificial Intelligence In Military Market Size 2020 Growth Rate Applications, Product Type Future Forecast 2027 Raytheon , Lockheed Martin , Northrop Grumman , Ibm , Thales Group , General Dynamics , Nvidia New Jersey, United States,The Artificial Intelligence In Military Market report provides indepth analysis current future state Artificial Intelligence In Military industry. The Artificial Intelligence In Military Market Report presents emerging trends market dynamics drivers, opportunities, challenges. The report covers details suppliers, consumers, level competition. It includes Artificial Intelligence In Military Market Size, Revenue, Share, Industry Growth Rate, Revenue. The Artificial Intelligence In Military market report essential list key aspects Artificial Intelligence In Military includes leading market players profiles key financial data. The recent Artificial Intelligence In Military market report extensive documentation industry showing consumption production patterns. The report provides information key drivers, challenges, threats, opportunities influencing market dynamics. It includes Porters Five Forces Analysis examine industrys competitive matrix. Get sample copy report including analysis COVID19 impact @ The study draws attention trading tactics generate returns. However, recent COVID19 outbreak, market uncertainties. The research, therefore, focuses impact coronavirus pandemic industry scenario forecast period suggests coping mechanism better results. The report provides indepth analysis major market players business overview, expansion plans, strategies. The main actors examined report are: Lockheed Martin Raytheon Northrop Grumman Ibm Thales Group General Dynamics Nvidia Bae Systems The report covers global Artificial Intelligence In Military Market size terms value chain, production consumption quota. The report considers 20172018 historical years, 2019 base year forecast calendar 20202027. It covers market breakdown terms manufacturers, key regions, types products offered market range applications. Request Discount Report @ Artificial Intelligence In Military Market Type Segments: Learning And Intelligence Advanced Computing Ai Systems Artificial Intelligence In Military Market Application Segments: Information Processing Cyber Security Others Artificial Intelligence In Military Market Regional Segments: The chapter regional segmentation details regional aspects Artificial Intelligence In Military market. This chapter explains regulatory framework likely impact overall market. It highlights political scenario market anticipates influence Artificial Intelligence In Military market. The Middle East AfricaGCC Countries Egypt North Americathe United States, Mexico, Canada South AmericaBrazil etc. EuropeTurkey, Germany, Russia UK, Italy, France, etc. AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Buy Now report Analysis COVID19 [2999] @ Report Highlights Comprehensive pricing analysis basis product, application, regional segments The detailed assessment vendor landscape leading companies help understand level competition Artificial Intelligence In Military market Deep insights regulatory investment scenarios Artificial Intelligence In Military market Analysis market effect factors impact forecast outlook Artificial Intelligence In Military market A roadmap growth opportunities available Artificial Intelligence In Military market identification key factors The exhaustive analysis trends Artificial Intelligence In Military market help identify market developments Request customization report @ Table Contents Report Overview:It includes chapters, viz. research scope, major manufacturers covered, market segments type, Artificial Intelligence In Military market segments application, study objectives, years considered. Global Growth Trends:There chapters included section, i.e. industry trends, growth rate key producers, production analysis. Artificial Intelligence In Military Market Share Manufacturer:Here, production, revenue, price analysis manufacturer included chapters expansion plans merger acquisition, products offered key manufacturers, areas served headquarters distribution. Market Size Type:It includes analysis price, production value market share, production market share type. Market Size Application:This section includes Artificial Intelligence In Military market consumption analysis application. Profiles Manufacturers:Here, leading players Artificial Intelligence In Military market studied based sales area, key products, gross margin, revenue, price, production. Artificial Intelligence In Military Market Value Chain Sales Channel Analysis:It includes customer, distributor, Artificial Intelligence In Military market value chain, sales channel analysis. Market Forecast Production Side: In report, authors focused production production value forecast, key producers forecast, production production value forecast type. Get More Information @ Thank reading report. Please contact learn report customization options. Our team ensure report meets requirements. : Market Research Intellect provides syndicated customized research reports clients industries organizations aim delivering functional expertise. We provide reports industries including Energy, Technology, Manufacturing Construction, Chemicals Materials, Food Beverage, more. These reports deliver indepth study market industry analysis, market value regions countries, trends pertinent industry. Us: Mr. Steven Fernandes Market Research Intellect New Jersey USA Tel: 16507814080 Website Tags Artificial Intelligence In Military Market Analysis, Artificial Intelligence In Military Market Forecast, Artificial Intelligence In Military Market Growth, Artificial Intelligence In Military Market Size, Artificial Intelligence In Military Market Trends Cane Molasses Market Size 2020 Growth Rate Applications, Product Type Future Forecast 2027 International Molasses, Zook Molasses, Meridian Foods, Premier Molasses, Quality Liquid Feeds, EDF Man, Malt Products Golf Equipment Market Growth Rate, Demands, Status And Application Forecast To 2025 Leave Reply Cancel replyYour email address published. 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] | 1 | 3,123 |
https://qz.com/jpmorgan-indexgpt-ai-chatbot-investment-advice-1850478529
| 2023-05-26T00:00:00 |
en
|
JPMorgan is developing a ChatGPT-like bot for investment advice
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JPMorgan is developing a ChatGPT-like bot for investment advice
The A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.™️Send us a tip!ShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsWe may earn a commission from links on this page.Make business better.™️HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsFinance and InvestingM-AI assist you?JPMorgan has trademarked a name for a ChatGPT-style toolThe bank is working on AI-powered chatbot to provide investment adviceByJulia MalleckPublished53 minutes agoWe may earn a commission from links on this page.Photo: Michael M. Santiago (Getty Images)JPMorgan is developing an AI-powered tool called IndexGPT.A trademark application for the name was filed on May 11, as first reported by CNBC. According to the filing, the US banking giant is planning to use the ChatGPT-style tool to provide investment advice.WatchQuartz Smart Investing: Anna Han
CCShare SubtitlesOffEnglishShare this VideoFacebookTwitterEmailRedditLinkview videoUS debt default risk, EPS contraction: How markets will reactReasons to de-risk your portfolio right nowTuesday 3:09PMThe US debt ceiling fight is a short-term phenomenon for marketsTuesday 3:01PMThe bank’s application describes IndexGPT as a “cloud computing software using artificial intelligence” that can carry out “selection of financial securities and financial assets” and make investment choices “tailored to customer needs.”AdvertisementJPMorgan has been vocal about its investment in AICEO Jamie Dimon set expectations for JPMorgan’s development of AI-backed tools in his annual letter (pdf) to shareholders earlier this year. Dimon said the bank has “300 AI use cases in production” in the areas of “risk, prospecting, marketing, customer experience and fraud prevention.”AdvertisementAdvertisementIn April, JPMorgan announced it created an AI model, trained on 25 years’ worth of US Federal Reserve speeches, that can detect potential changes in financial policy and inform trading decisions.Earlier this week, JPMorgan executives reported good progress on the bank’s AI projects. “We’re ahead of our plan to deliver on our commitment to deliver $1 billion in business value through AI,” said Lori Beer, the bank’s global chief information officer, during its annual investor day on May 22, according to a Pymnts report.AdvertisementJPMorgan’s staff working on AI development, by the digits1,000: JPMorgan employees involved in data management900: Data scientists at JPMorgan who specialize in AI and machine learning600: Machine learning engineers employed at JPMorgan 200: Number of people JPMorgan employs in a specialized AI research group The banking sector’s AI raceThe launch of ChatGPT in November sparked an industry-wide race to develop financial applications for AI. In March, Goldman Sachs spun out its startup Louisa, an AI-based social networking platform. That same month, Morgan Stanley struck a deal with OpenAI, developer of ChatGPT, for its wealth managers to access GPT-4 technology.AdvertisementAt the same time, a host of banks have banned employees from using ChatGPT, including JPMorgan, Citigroup, Bank of America, Deutsche Bank, and Goldman Sachs, reportedly in line with the industry’s usual restrictions on third-party software.Related stories⚱️ With AI, Bill Gates sees the end of Google Search and Amazon👋 OpenAI’s Sam Altman threatened to leave the countries of the EU if he doesn’t like their ChatGPT regulationAdvertisement✍️ 22 ways ChatGPT could be used in economics researchContinue reading📬 Sign up for the Daily BriefOur free, fast, and fun briefing on the global economy, delivered every weekday morning.
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JPMorgan is developing a ChatGPT-like bot for investment advice
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JPMorgan developing ChatGPTlike bot investment advice The A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.Send tipShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsWe earn commission links .Make business better.HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsFinance InvestingMAI assist you?JPMorgan trademarked ChatGPTstyle toolThe bank working AIpowered chatbot provide investment adviceByJulia MalleckPublished53 minutes agoWe earn commission links .Photo: Michael M. Santiago Getty ImagesJPMorgan developing AIpowered tool called IndexGPT.A trademark application filed May 11, reported CNBC. According filing, US banking giant planning use ChatGPTstyle tool provide investment advice.WatchQuartz Smart Investing: Anna Han CCShare SubtitlesOffEnglishShare VideoFacebookTwitterEmailRedditLinkview videoUS debt default risk, EPS contraction: How markets reactReasons derisk portfolio right nowTuesday 3:09PMThe US debt ceiling fight shortterm phenomenon marketsTuesday 3:01PMThe banks application describes IndexGPT cloud computing software artificial intelligence carry selection financial securities financial assets investment choices tailored customer needs.AdvertisementJPMorgan vocal investment AICEO Jamie Dimon set expectations JPMorgans development AIbacked tools annual letter pdf shareholders earlier year. Dimon said bank 300 AI use cases production areas risk, prospecting, marketing, customer experience fraud prevention.AdvertisementAdvertisementIn April, JPMorgan announced created AI model, trained 25 years worth US Federal Reserve speeches, detect potential changes financial policy inform trading decisions.Earlier week, JPMorgan executives reported good progress banks AI projects. Were ahead plan deliver commitment deliver 1 billion business value AI, said Lori Beer, banks global chief information officer, annual investor day May 22, according Pymnts report.AdvertisementJPMorgans staff working AI development, digits1,000: JPMorgan employees involved data management900: Data scientists JPMorgan specialize AI machine learning600: Machine learning engineers employed JPMorgan 200: Number people JPMorgan employs specialized AI research group The banking sectors AI raceThe launch ChatGPT November sparked industrywide race develop financial applications AI. In March, Goldman Sachs spun startup Louisa, AIbased social networking platform. That month, Morgan Stanley struck deal OpenAI, developer ChatGPT, wealth managers access GPT4 technology.AdvertisementAt time, host banks banned employees ChatGPT, including JPMorgan, Citigroup, Bank America, Deutsche Bank, Goldman Sachs, reportedly line industrys usual restrictions thirdparty software.Related stories With AI, Bill Gates sees end Google Amazon OpenAIs Sam Altman threatened leave countries EU doesnt like ChatGPT regulationAdvertisement 22 ways ChatGPT economics researchContinue reading Sign Daily BriefOur free, fast, fun briefing global economy, delivered weekday morning.
| 2,023 |
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https://redandblackonline.com/cleaning-service-software-market-by-zenmaid-inc-ai-field-management-netsoft-holdings-llc-dotimely-westrom-software-bookingkoala-brilion-cleaning-ergos-software-3/
| 2020-09-10T00:00:00 |
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CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE – Red & Black Student Newspaper
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CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE – Red & Black Student Newspaper
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CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE
Data Bridge Market Research
September 9, 2020
Industry outlook, critical success factors, industry dynamics, market definition, drivers and restraints, market segmentation, value chain analysis, key developments, application and technology outlook, regional or country level analysis and competitive landscape are the key elements covered in the CLEANING SERVICE SOFTWARE report. In this CLEANING SERVICE SOFTWARE report, competitor strategies are analyzed in regard of their recent developments, new product launches, joint ventures, mergers and acquisition which aids in guessing the scope of improvement for the client business. Careful research studies performed by a team of experts in their own domain make this global CLEANING SERVICE SOFTWARE market research report more efficient.
With the complete understanding of business environment that is best suitable for the requirements of the client, CLEANING SERVICE SOFTWARE report has been generated. Businesses can also achieve insights into profit growth and sustainability program with this market report. Market drivers and market restraints explained in this report gives idea about the rise or fall in the consumer demand for the particular product depending on several factors. This global market report contains all the company profiles of the major players and brands. Each of the topics is properly elaborated with an in-depth research and analysis for generating this absolute CLEANING SERVICE SOFTWARE market research report.
ICT Industry Is A Mix Of Good And Bad Amid COVID-19 Updated Analysis On Major challenges and impact of COVID-19
DBMR Is Tracking The Market Dynamics Of The Crisis In The Hardware Industry Amid Lockdown Changes In the Supply Chain. With Work From Home And Remote Working Rising The ICT Industry is seeing Unprecedented Growth and Struggling In Delivery And Data center Productivity. With DBMR Analysis Track New Revenue Pockets And Stream And The take Opportunity Of The New Growth Stream.
GET | Premium Sample Report of Cleaning Service Software + All Related Graphs & Charts @
https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-cleaning-service-software-market
Cleaning service software market is expected to reach by 2027 witnessing market growth at a rate of 6.90% in the forecast period of 2020 to 2027.
The major players covered in the cleaning service software market report are ZenMaid Inc, AI Field Management, Netsoft Holdings, LLC, DoTimely, Westrom Software., BookingKoala, Brilion Cleaning, Ergos Software Inc., CleanBrain Software, Inc., MaidEasy Software, Maidily, Cleansure Ltd, CLEANSWEEP among other domestic and global players.
Market Analysis: Global Cleaning Service Software Market :
On the off chance that you are associated with the Cleaning Service Software Analytics industry or mean to be, at that point this investigation will give you far reaching standpoint. It’s crucial you stay up with the latest Cleaning Service Software Market segmented by:
Cleaning Service Software Market : By Type
Basic
Standard
Senior
Cleaning Service Software Market : By Industry
Maid Service
Moving Service
Lawn Care
Carpet Cleaning
Car Care
Cleaning Service Software Market : By Application
SMEs?
Large Enterprises
Cleaning Service Software Market : By Deployment
Cloud-Based
On-Premise
Cleaning Service Software Market : By Geography
North America
South America
Europe
Asia-Pacific
Middle East and Africa
Global Cleaning Service Software Market Scope and Market Size
Cleaning service software market is segmented on the basis of product type, industry, deployment, and application. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
On the basis of product type, the cleaning service software market is segmented into basic, standard, and senior.
On the basis of industry, the cleaning service software market is segmented into maid service, moving service, lawn care, carpet cleaning, and car care.
On the basis of deployment, the cleaning service software market is segmented into on-premise, and cloud based.
On the basis of application, the cleaning service software market is segmented into SMEs and large enterprises.
Thanks for reading this article you can likewise get singular part insightful area or district astute report rendition like North America, Europe, MEA or Asia Pacific.
Coronavirus attack to slow down IT growth reduced technology spending by clients in the US and Europe.
Table Of Contents: Global Cleaning Service Software Market
Part 01: Executive Summary
Part 02: Scope Of The Report
Part 03: Research Methodology
Part 04: Market Landscape
Part 05: Pipeline Analysis
Part 06: Market Sizing
Part 07: Five Forces Analysis
Part 08: Market Segmentation
Part 09: Customer Landscape
Part 10: Regional Landscape
Part 11: Decision Framework
Part 12: Drivers And Challenges
Part 13: Market Trends
Part 14: Vendor Landscape
Part 15: Vendor Analysis
Part 16: Appendix
BROWSE | TOC with selected illustrations and example pages of Global Cleaning Service Software Market @
https://www.databridgemarketresearch.com/toc/?dbmr=global-cleaning-service-software-market
What are the major market growth drivers?
Increasing incorporation of cloud computing networks is enhancing the market growth
Increasing digitization is a factor for the market growth
Rapid advancements in the field of Bring Your Own Device (BYOD) and Internet of Things (IoT) is driving the market growth
About Data Bridge Market Research:
An absolute way to forecast what future holds is to comprehend the trend today!
Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.
Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude. We are content with our glorious 99.9 % client satisfying rate.
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CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE
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CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE Red Black Student Newspaper Thursday, September 10 2020 Trending Impact Covid19 Global Industrial Dissolved Oxygen Analyzers Market 2020 To 2027 ABB, Yokogawa Electric, OMEGA Engineering, Emerson, Hamilton Global Industrial Ion Meters Market Report 2020 Covering Impact COVID19, Financial Information, Developments, SWOT Analysis Global Top Companies Thermo Fisher Scientific, Panomex, ELMETRON, Agilent Technologies, Session Based Computing Market To Witness Considerable Upsurge During 2026 Dell, Microsoft, Citrix, VMware, ZeroDesktop, Oracle Global Fiberglass Cloth Market 2020 Impact COVID19, Future Growth Analysis Challenges MINGDA, DuoBao, Zhejiang Yuanda Fiberglass, Tianyu, Changshu Jiangnan Glass Fiber Global Industrial Style Wall Lights Market 2020 Impact COVID19, Future Growth Analysis Challenges Emerson Electric US, Legrand France, Acuity Brands LightingUS, TOYODA GOSEIJapan, CreeUS Impact Covid19 Global Intelligent Fitness Appliance Market 2020 To 2027 Adidas AG, Apple, ., Fitbit, Global Intelligent Polymer Market Report 2020 Covering Impact COVID19, Financial Information, Developments, SWOT Analysis Global Top Companies BASF SE, Nippon Shokubai, Advanced Biopolymers AS, FMC Corporation, Autonomic Materials Health Club Management Software Market Is Set To Experience Revolutionary Growth By 2025 BookSteam, Doxess, TidyHQ, Bookeo, ClubManager Global Intelligent Rearview Mirror Market 2020 Impact COVID19, Future Growth Analysis Challenges Ficosa Internacional, Samvardhana Motherson Reflectec SMR, Gentex, Nissan, Magna International Impact Covid19 Global Interlock Solenoids Market 2020 To 2027 Omron, IDEM , Siemens, Schneider, Electric Schmersal Sidebar Log In Random Article Red Black Student Newspaper Business Health SciTech World Us HomeBusinessCLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE Business CLEANING SERVICE SOFTWARE MARKET BY ZENMAID INC, AI FIELD MANAGEMENT, NETSOFT HOLDINGS, LLC, DOTIMELY, WESTROM SOFTWARE., BOOKINGKOALA, BRILION CLEANING, ERGOS SOFTWARE Data Bridge Market Research September 9, 2020 Industry outlook, critical success factors, industry dynamics, market definition, drivers restraints, market segmentation, value chain analysis, key developments, application technology outlook, regional country level analysis competitive landscape key elements covered CLEANING SERVICE SOFTWARE report. In CLEANING SERVICE SOFTWARE report, competitor strategies analyzed regard recent developments, new product launches, joint ventures, mergers acquisition aids guessing scope improvement client business. Careful research studies performed team experts domain global CLEANING SERVICE SOFTWARE market research report efficient. With complete understanding business environment best suitable requirements client, CLEANING SERVICE SOFTWARE report generated. Businesses achieve insights profit growth sustainability program market report. Market drivers market restraints explained report gives idea rise fall consumer demand particular product depending factors. This global market report contains company profiles major players brands. Each topics properly elaborated indepth research analysis generating absolute CLEANING SERVICE SOFTWARE market research report. ICT Industry Is A Mix Of Good And Bad Amid COVID19 Updated Analysis On Major challenges impact COVID19 DBMR Is Tracking The Market Dynamics Of The Crisis In The Hardware Industry Amid Lockdown Changes In Supply Chain. With Work From Home And Remote Working Rising The ICT Industry seeing Unprecedented Growth Struggling In Delivery And Data center Productivity. With DBMR Analysis Track New Revenue Pockets And Stream And The Opportunity Of The New Growth Stream. GET Premium Sample Report Cleaning Service Software All Related Graphs Charts @ Cleaning service software market expected reach 2027 witnessing market growth rate of6.90 forecast period 2020 2027. The major players covered cleaning service software market report areZenMaid , AI Field Management, Netsoft Holdings, LLC, DoTimely, Westrom Software., BookingKoala, Brilion Cleaning, Ergos Software ., CleanBrain Software, ., MaidEasy Software, Maidily, Cleansure Ltd, CLEANSWEEP domestic global players. Market Analysis: Global Cleaning Service Software Market : On chance associated Cleaning Service Software Analytics industry mean be, point investigation far reaching standpoint. Its crucial stay latest Cleaning Service Software Market segmented by: Cleaning Service Software Market : By Type Basic Standard Senior Cleaning Service Software Market : By Industry Maid Service Moving Service Lawn Care Carpet Cleaning Car Care Cleaning Service Software Market : By Application SMEs? Large Enterprises Cleaning Service Software Market : By Deployment CloudBased OnPremise Cleaning Service Software Market : By Geography North America South America Europe AsiaPacific Middle East Africa Global Cleaning Service Software Market Scope Market Size Cleaning service software market segmented basis product type, industry, deployment, application. The growth segments helps analyse niche pockets growth strategies approach market determine core application areas difference target markets. On basis product type, cleaning service software market segmented basic, standard, senior. On basis industry, cleaning service software market segmented maid service, moving service, lawn care, carpet cleaning, car care. On basis deployment, cleaning service software market segmented onpremise, cloud based. On basis application, cleaning service software market segmented SMEs large enterprises. Thanks reading article likewise singular insightful area district astute report rendition like North America, Europe, MEA Asia Pacific. Coronavirus attack slow IT growth reduced technology spending clients US Europe. Table Of Contents: Global Cleaning Service Software Market Part 01: Executive Summary Part 02: Scope Of The Report Part 03: Research Methodology Part 04: Market Landscape Part 05: Pipeline Analysis Part 06: Market Sizing Part 07: Five Forces Analysis Part 08: Market Segmentation Part 09: Customer Landscape Part 10: Regional Landscape Part 11: Decision Framework Part 12: Drivers And Challenges Part 13: Market Trends Part 14: Vendor Landscape Part 15: Vendor Analysis Part 16: Appendix BROWSE TOC selected illustrations example Global Cleaning Service Software Market @ What major market growth drivers? reasing incorporation cloud computing networks enhancing market growth reasing digitization factor market growth Rapid advancements field Bring Your Own Device BYOD Internet Things IoT driving market growth About Data Bridge Market Research: An absolute way forecast future holds comprehend trend today Data Bridge set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge endeavors provide appropriate solutions complex business challenges initiates effortless decisionmaking process. Data Bridge adepts creating satisfied clients reckon services rely hard work certitude. We content glorious 99.9 client satisfying rate. Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print Data Bridge Market Research Website Related Articles August 14, 2020 11 Global Thrombectomy Devices Market Business Scenario 2020Boston Scientific Corporation, Spectranetics Corporation, Penumbra, ., Argon Medical Devices, August 21, 2020 13 Wireless Power Transmission Market May Turn As Winner After Covid19 Scenario 2025 ? Samsung, WiCharge., Energous Corporation, Humavox Ltd, Semtech, Toshiba Corporation September 7, 2020 3 Bedtime snacks market Comprehensive Study With Key Trends, Major Drivers And Challenges 20202026 September 3, 2020 7 Global SPECT Probes Market Size, Demand, Trends, Insights Forecast 2027Top LeadersSiemens Healthcare Private Limited, BioSpace, ., LICOR. Facebook Twitter WhatsApp Telegram Close for: for: Recent Posts Impact Covid19 Global Industrial Dissolved Oxygen Analyzers Market 2020 To 2027 ABB, Yokogawa Electric, OMEGA Engineering, Emerson, Hamilton Global Industrial Ion Meters Market Report 2020 Covering Impact COVID19, Financial Information, Developments, SWOT Analysis Global Top Companies Thermo Fisher Scientific, Panomex, ELMETRON, Agilent Technologies, Session Based Computing Market To Witness Considerable Upsurge During 2026 Dell, Microsoft, Citrix, VMware, ZeroDesktop, Oracle Global Fiberglass Cloth Market 2020 Impact COVID19, Future Growth Analysis Challenges MINGDA, DuoBao, Zhejiang Yuanda Fiberglass, Tianyu, Changshu Jiangnan Glass Fiber Global Industrial Style Wall Lights Market 2020 Impact COVID19, Future Growth Analysis Challenges Emerson Electric US, Legrand France, Acuity Brands LightingUS, TOYODA GOSEIJapan, CreeUS Recent CommentsArchives September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 Categories Business Health SciTech Uncategorized World Meta Log Entries feed Comments feed Close Log In Forget? 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] | 1 | 3,125 |
https://robots.net/news/atomicwork-revolutionizing-employee-workflows-with-ai-assistant/
| 2023-09-05T00:00:00 |
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Atomicwork Revolutionizing Employee Workflows with AI Assistant | Robots.net
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NewsAtomicwork Revolutionizing Employee Workflows With AI Assistant
NewsAtomicwork Revolutionizing Employee Workflows With AI Assistant
Written by:
Claudelle Canchola
|
Published: 5 September 2023
News
Atomicwork, a San Francisco and Singapore-based company, has emerged from stealth mode with $11 million in seed funding to launch its AI assistant. The company aims to automate various administrative workflows that burden HR and IT departments, particularly in remote or hybrid work settings. With the help of conversational AI, Atomicwork intends to streamline employee tasks like requesting leave, filing tech requests, and accessing company policies.
Key Takeaway
Atomicwork has launched an AI assistant, Atom, to automate administrative tasks and improve operational efficiency in companies. By leveraging conversational AI, Atomicwork aims to enhance employee experiences with streamlined workflows for leave requests, tech inquiries, and policy navigation. With
1 million in seed funding, the San Francisco and Singapore-based company seeks to revolutionize employee support functions and become a comprehensive business service management suite.
Founders and Background
Atomicwork was founded in September 2022 by SaaS veterans Vijay Rayapati, Kiran Darisi, and Parsuram Vijayasankar. The team, which has known each other for a decade, identified a significant gap in the availability of software solutions tailored to employees’ operational needs. Prior to starting Atomicwork, Rayapati, the former General Manager at Nutanix, had successfully sold his previous cloud computing startup, Minjar, to the company in 2018. Darisi and Parsuram were also part of the founding team at Freshwork.
The Need for Automation
Atomicwork recognized that many companies struggle with complex internal software and processes, leading to excessive manual work. Time-consuming tasks such as retrieving payslips, hardware requests, and leave or reimbursement document searches waste both employees’ and internal teams’ valuable time. Moreover, navigating convoluted internal systems without familiarity with each department’s software adds to the productivity drain.
Efficiency through AI Assistant
To address these challenges, Atomicwork developed Atom, an AI assistant that integrates with collaboration platforms like Slack and Microsoft Teams. Atom learns from the company’s various resources, including wikis, policy documents, FAQs, and historical tickets, allowing it to provide quick and accurate responses to employee queries. For example, employees can ask Atom questions like “Is tomorrow a day off?” or “How do I set up email on my new phone?” and receive instant answers.
Automated and Semi-automated Workflows
Atomicwork offers a range of workflows to optimize company operations. Fully automated workflows handle tasks without manual intervention, such as providing generative answers to common employee questions or expediting reimbursement processes. Semi-automated workflows strike a balance between automation and human oversight, simplifying vendor payments, request approvals, and employee onboarding or offboarding.
Target Customers and Future Expansion
Atomicwork primarily targets mid-market companies with employee counts ranging from 500 to 2,000, which often allocate dedicated budgets for employee support functions. While considering ServiceNow as a competitor, Atomicwork distinguishes itself by its conversational AI’s foundational integration. The company envisions expanding its services to encompass other employee support teams, including legal, facilities, business operations, and general and administrative functions. Additionally, Atomicwork aims to enter sales operations, partner operations, vendor operations, and other internal teams.
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Atomicwork Revolutionizing Employee Workflows with AI Assistant
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Atomicwork Revolutionizing Employee Workflows AI Assistant Skip content Menu Home AI TECHNOLOGY ROBOTICS FINTECH GAMING HOW TO How To Download Movies How To Download Music How To Download Videos How To Download Games TECH REVIEWS Featured News Newsnews NewsAtomicwork Revolutionizing Employee Workflows With AI Assistant NewsAtomicwork Revolutionizing Employee Workflows With AI Assistant Written by: Claudelle Canchola Published: 5 September 2023 News Atomicwork, San Francisco Singaporebased company, emerged stealth mode 11 million seed funding launch AI assistant. The company aims automate administrative workflows burden HR IT departments, particularly remote hybrid work settings. With help conversational AI, Atomicwork intends streamline employee tasks like requesting leave, filing tech requests, accessing company policies. Key Takeaway Atomicwork launched AI assistant, Atom, automate administrative tasks improve operational efficiency companies. By leveraging conversational AI, Atomicwork aims enhance employee experiences streamlined workflows leave requests, tech inquiries, policy navigation. With 1 million seed funding, San Francisco Singaporebased company seeks revolutionize employee support functions comprehensive business service management suite. Founders Background Atomicwork founded September 2022 SaaS veterans Vijay Rayapati, Kiran Darisi, Parsuram Vijayasankar. The team, known decade, identified significant gap availability software solutions tailored employees operational needs. Prior starting Atomicwork, Rayapati, General Manager Nutanix, successfully sold previous cloud computing startup, Minjar, company 2018. Darisi Parsuram founding team Freshwork. The Need Automation Atomicwork recognized companies struggle complex internal software processes, leading excessive manual work. Timeconsuming tasks retrieving payslips, hardware requests, leave reimbursement document searches waste employees internal teams valuable time. Moreover, navigating convoluted internal systems familiarity departments software adds productivity drain. Efficiency AI Assistant To address challenges, Atomicwork developed Atom, AI assistant integrates collaboration platforms like Slack Microsoft Teams. Atom learns companys resources, including wikis, policy documents, FAQs, historical tickets, allowing provide quick accurate responses employee queries. For example, employees ask Atom questions like Is tomorrow day off? How I set email new phone? receive instant answers. Automated Semiautomated Workflows Atomicwork offers range workflows optimize company operations. Fully automated workflows handle tasks manual intervention, providing generative answers common employee questions expediting reimbursement processes. Semiautomated workflows strike balance automation human oversight, simplifying vendor payments, request approvals, employee onboarding offboarding. Target Customers Future Expansion Atomicwork primarily targets midmarket companies employee counts ranging 500 2,000, allocate dedicated budgets employee support functions. While considering ServiceNow competitor, Atomicwork distinguishes conversational AIs foundational integration. The company envisions expanding services encompass employee support teams, including legal, facilities, business operations, general administrative functions. Additionally, Atomicwork aims enter sales operations, partner operations, vendor operations, internal teams. Post navigation Previous Previous post: The Future Of Crypto Regulation: The U.S. Cant Kill CryptoNext Next post: New Compliance Platform Worldover Streamlines Product Launches In Multiple Markets Leave Reply Cancel reply Your email address published. 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Artificial Intelligence Chipsets Market Booming by Size, Trends, Top Key players and Forecast to 2026 – Science In Me
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Artificial Intelligence Chipsets Market Booming by Size, Trends, Top Key players and Forecast to 2026
By Navanath R on April 15, 2020
The Artificial Intelligence Chipsets Market report provides a fine intelligence that prepares market participants to compete well with their toughest competitors based on growth, sales and other important factors. The research study focuses on key growth opportunities and market trends outside of critical market dynamics, including drivers and market challenges. With the help of this report, interested parties can prepare themselves for developments in the Artificial Intelligence Chipsets branch and position themselves on the market for the coming years. The report includes market development statistics, a list of selected key players, an in-depth regional analysis and a comprehensive market segmentation study to provide a thorough understanding of the Artificial Intelligence Chipsets market.
Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=27361&utm_source=SIM&utm_medium=007
The Artificial Intelligence Chipsets Sales Market Report mainly contains the following Manufacturers:
Nvidia Corporation
Xilinx
Micron Technology
IBM
Microsoft Corporation
Google LLC
Amazon Web Services (AWS)
Intel Corporation
Samsung Electronics
Qualcomm Technologies
The report is created using advanced primary and secondary research techniques and sophisticated market analysis tools. Our analysts conduct personal and telephone interviews to gather information about the Artificial Intelligence Chipsets industry. They also refer to corporate websites, government documents, press releases, annual and financial reports, as well as databases of organizations in authority positions in the Artificial Intelligence Chipsets industry. We do not include any data or information in the report unless it is checked against reliable bodies.
The report contains a detailed analysis of the competitive landscape and the profiling of the most important competitors on the Artificial Intelligence Chipsets market. The authors of the report want to give readers a comprehensive assessment of the supplier landscape and inform them about current and future changes. The competition analysis proposed in the report includes the market share, gross margin, product portfolio, consumption, market conditions and technologies of the main players in the Artificial Intelligence Chipsets market.
The report provides a general explanation of the presence of the Artificial Intelligence Chipsets market in different regions and countries. With a thorough regional analysis of the Artificial Intelligence Chipsets market, research analysts are trying to uncover hidden growth prospects available to players from different parts of the world. They accurately estimate market share, CAGR, production, consumption, price, income and other key factors that indicate the growth of the regional markets examined in the report. They also stressed the presence of key players in regional markets and how this affects the growth of regional markets.
Ask for Discount @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=27361&utm_source=SIM&utm_medium=007
What will the report contain?
Market Dynamics: The report contains important information on influencing factors, market drivers, challenges, opportunities and market trends as part of the market dynamics.
Global Market Forecast: Readers receive production and sales forecasts for the Artificial Intelligence Chipsets market, production and consumption forecasts for regional markets, production, sales and price forecasts for the Artificial Intelligence Chipsets market by type and consumption forecasts for the Artificial Intelligence Chipsets market per application.
Regional Market Analysis: It can be divided into two different sections: one for the analysis of regional production and one for the analysis of regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, and other factors that indicate the growth of all regional markets examined in the report.
Market Competition: In this section, the report provides information on the situation and trends of competition, including mergers and acquisitions and expansion, the market shares of the three or five main players and the concentration of the market. Readers could also get the production, revenue, and average price shares of manufacturers.
Key Players: The report provides company profiles for a decent number of leading players in the Artificial Intelligence Chipsets market. It shows your current and future market growth taking into account price, gross margin, income, production, service areas, production locations and other factors.
Complete Report is Available @ https://www.verifiedmarketresearch.com/product/Artificial-Intelligence-Chipsets-Market/?utm_source=SIM&utm_medium=007
We also offer customization on reports based on specific client requirement:
1- Free country level analysis for any 5 countries of your choice.
2- Free Competitive analysis of any market players.
3- Free 40 analyst hours to cover any other data points
About us:
Verified market research partners with the customer and offer an insight into strategic and growth analyzes, Data necessary to achieve corporate goals and objectives. Our core values are trust, integrity and authenticity for our customers.
Analysts with a high level of expertise in data collection and governance use industrial techniques to collect and analyze data in all phases. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise and years of collective experience to produce informative and accurate research reports.
Contact us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [email protected]
Get Our Trending Report
https://www.marketresearchblogs.com/
https://www.marktforschungsblogs.com/
Tags: Artificial Intelligence Chipsets Market Size, Artificial Intelligence Chipsets Market Trends, Artificial Intelligence Chipsets Market Forecast, Artificial Intelligence Chipsets Market Growth, Artificial Intelligence Chipsets Market Analysis
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Artificial Intelligence Chipsets Market Booming Size, Trends, Top Key players Forecast 2026 Science In Me Press Enter skip content Science In Me Our Writers Us Science In MeApril 15, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Artificial Intelligence Chipsets Market Booming Size, Trends, Top Key players Forecast 2026 By Navanath R April 15, 2020 The Artificial Intelligence Chipsets Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales important factors. The research study focuses key growth opportunities market trends outside critical market dynamics, including drivers market challenges. With help report, interested parties prepare developments Artificial Intelligence Chipsets branch position market coming years. The report includes market development statistics, list selected key players, indepth regional analysis comprehensive market segmentation study provide thorough understanding Artificial Intelligence Chipsets market. Get Download Sample Copy @ The Artificial Intelligence Chipsets Sales Market Report mainly contains following Manufacturers: Nvidia Corporation Xilinx Micron Technology IBM Microsoft Corporation Google LLC Amazon Web Services AWS Intel Corporation Samsung Electronics Qualcomm Technologies The report created advanced primary secondary research techniques sophisticated market analysis tools. Our analysts conduct personal telephone interviews gather information Artificial Intelligence Chipsets industry. They refer corporate websites, government documents, press releases, annual financial reports, databases organizations authority positions Artificial Intelligence Chipsets industry. We include data information report checked reliable bodies. The report contains detailed analysis competitive landscape profiling important competitors Artificial Intelligence Chipsets market. The authors report want readers comprehensive assessment supplier landscape inform current future changes. The competition analysis proposed report includes market share, gross margin, product portfolio, consumption, market conditions technologies main players Artificial Intelligence Chipsets market. The report provides general explanation presence Artificial Intelligence Chipsets market different regions countries. With thorough regional analysis Artificial Intelligence Chipsets market, research analysts trying uncover hidden growth prospects available players different parts world. They accurately estimate market share, CAGR, production, consumption, price, income key factors indicate growth regional markets examined report. They stressed presence key players regional markets affects growth regional markets. Ask Discount @ What report contain? Market Dynamics: The report contains important information influencing factors, market drivers, challenges, opportunities market trends market dynamics. Global Market Forecast: Readers receive production sales forecasts Artificial Intelligence Chipsets market, production consumption forecasts regional markets, production, sales price forecasts Artificial Intelligence Chipsets market type consumption forecasts Artificial Intelligence Chipsets market application. Regional Market Analysis: It divided different sections: analysis regional production analysis regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, factors indicate growth regional markets examined report. Market Competition: In section, report provides information situation trends competition, including mergers acquisitions expansion, market shares main players concentration market. Readers production, revenue, average price shares manufacturers. Key Players: The report provides company profiles decent number leading players Artificial Intelligence Chipsets market. It shows current future market growth taking account price, gross margin, income, production, service areas, production locations factors. Complete Report Available @ We offer customization reports based specific client requirement: 1 Free country level analysis 5 countries choice. 2 Free Competitive analysis market players. 3 Free 40 analyst hours cover data points About us: Verified market research partners customer offer insight strategic growth analyzes, Data necessary achieve corporate goals objectives. Our core values trust, integrity authenticity customers. Analysts high level expertise data collection governance use industrial techniques collect analyze data phases. Our analysts trained combine modern data collection techniques, superior research methodology, expertise years collective experience produce informative accurate research reports. us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] Get Our Trending Report Tags: Artificial Intelligence Chipsets Market Size, Artificial Intelligence Chipsets Market Trends, Artificial Intelligence Chipsets Market Forecast, Artificial Intelligence Chipsets Market Growth, Artificial Intelligence Chipsets Market Analysis Author Recent Posts Navanath R Latest posts Navanath R Industrial Catalyst Market Booming Size, Trends, Top Key players Forecast 2026 April 15, 2020 Lubricants Market Booming Size, Trends, Top Key players Forecast 2026 April 15, 2020 High Temperature Grease Market Booming Size, Trends, Top Key players Forecast 2026 April 15, 2020 Published All News Navanath R More All NewsMore posts All News Traffic Jam Assist Systems Market Study Navigating Future Growth Outlook MercedesBenz, Automotive Group., Hitachi, Ltd., SEAT, S.A., The Ford Motor Company, KODA AUTO, Miles Continental, Aptiv MoreMicro Battery Market Unidentified Segments The Biggest Opportunity Of 2020 FULLRIVER Battery; NEC ENERGY SOLUTIONS; Maxell Worldwide; Renata SA; Seiko Instruments .; TOSHIBA ELECTRONIC DEVICES STORAGE CORPORATION MoreDot Peen Marking Systems Market Industry Analysis, Size, Share, Growth, Key Trends Forecast To 2025Voice Internet Protocol Market May Set New Growth Story Mitel Networks Corp.; Telecom Italia; Orange Business Services; Ribbon Communications Operating Company, .; RingCentral, . More Traffic Jam Assist Systems Market Study Navigating Future Growth Outlook MercedesBenz, Automotive Group., Hitachi, Ltd., SEAT, S.A., The Ford Motor Company, KODA AUTO, Miles Continental, Aptiv MoreTraffic Jam Assist Systems Market Study Navigating Future Growth Outlook MercedesBenz, Automotive Group., Hitachi, Ltd., SEAT, S.A., The Ford Motor Company, KODA AUTO, Miles Continental, Aptiv MoreBy Data Bridge Market ResearchTraffic Jam Assist Systems Marketresearch report organized collecting market research data different corners globe experienced team language... Comments closed Micro Battery Market Unidentified Segments The Biggest Opportunity Of 2020 FULLRIVER Battery; NEC ENERGY SOLUTIONS; Maxell Worldwide; Renata SA; Seiko Instruments .; TOSHIBA ELECTRONIC DEVICES STORAGE CORPORATION MoreMicro Battery Market Unidentified Segments The Biggest Opportunity Of 2020 FULLRIVER Battery; NEC ENERGY SOLUTIONS; Maxell Worldwide; Renata SA; Seiko Instruments .; TOSHIBA ELECTRONIC DEVICES STORAGE CORPORATION MoreBy Data Bridge Market ResearchThe information data cited inGlobal Micro Battery Marketbusiness report collected trustworthy sources websites, journals, mergers, annual reports of... Comments closed Voice Internet Protocol Market May Set New Growth Story Mitel Networks Corp.; Telecom Italia; Orange Business Services; Ribbon Communications Operating Company, .; RingCentral, . MoreVoice Internet Protocol Market May Set New Growth Story Mitel Networks Corp.; Telecom Italia; Orange Business Services; Ribbon Communications Operating Company, .; RingCentral, . MoreBy Data Bridge Market ResearchVoice Internet Protocol Marketresearch report performs methodical comprehensive market research study puts forth facts figures linked subject... Comments closed Dot Peen Marking Systems Market Industry Analysis, Size, Share, Growth, Key Trends Forecast To 2025Dot Peen Marking Systems Market Industry Analysis, Size, Share, Growth, Key Trends Forecast To 2025By ExltechThe study methodologies examine Dot Peen Marking Systems Market forecast period, 2019 2023 classifies industry type,... Comments closed 4 Coated Paper Market 2019 Industry Trends, Opportunities Forecast 20234 Coated Paper Market 2019 Industry Trends, Opportunities Forecast 2023By [emailprotected]In 2018, market size 4 Coated Paper Market million US reach million US 2025, growing CAGR... Comments closed Science In Me Science, Space, Satellite Energy Markets Our Writers Us Mission News Theme Compete Themes.
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https://scientect.com/uncategorized/1783869/artificial-intelligence-platforms-market-latest-research-report-2020-top-manufaturer-and-vendors-covered-regional-global-analysis-business-growth-at-cagr-of-24-1-during-forecast-period/
| 2020-09-22T00:00:00 |
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Artificial Intelligence Platforms Market Latest Research Report 2020 – Top Manufaturer and Vendors Covered, Regional & Global Analysis, Business Growth at CAGR of 24.1% During Forecast Period – Scientect
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Artificial Intelligence Platforms Market Latest Research Report 2020 – Top Manufaturer and Vendors Covered, Regional & Global Analysis, Business Growth at CAGR of 24.1% During Forecast Period – Scientect
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Artificial Intelligence Platforms Market Latest Research Report 2020 – Top Manufaturer and Vendors Covered, Regional & Global Analysis, Business Growth at CAGR of 24.1% During Forecast Period
Post author
By sambit.k
Post date
September 22, 2020
Global Artificial Intelligence Platforms Market research report is a compilation of insight data on market size, market growth trends that will help its buyer to capture opportunities, to know and minimize possible risks, to analyse the strategies of key companies in the market and to outline the performance of the market across regions etc. Report also contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors. Industry experts project Artificial Intelligence Platforms market to grow at a CAGR of 24.1% during the period 2020-2023
Request a Sample Copy of the Report For COVID-19 Impact Analysis on Artificial Intelligence Platforms Market
Global Artificial Intelligence Platforms Market: About this market
Artificial intelligence platform is a service that uses a software framework and a hardware architecture to build intelligent applications. Technavio’s artificial intelligence platforms market analysis considers sales from on-premises and cloud-based deployment. Our analysis also considers the sales of artificial intelligence platforms in APAC, Europe, North America, South America, and MEA. In 2020, the on-premises segment had a significant market share, and this trend is expected to continue over the forecast period. Factors such as a rising focus on handling critical business data and risk management strategies will play a significant role in the on-premises segment to maintain its market position. Also, our global artificial intelligence platforms market report looks at factors such as the rising demand for AI-based solutions, increasing investments in R&D for AI technology, and rise in demand for cloud-based AI solutions. However, data privacy issues, vendor lock-in issues in AI platforms, and the need for regulatory compliance may hamper the growth of the artificial intelligence platforms industry over the forecast period.
The Top Manufacturers/players including:-
Alibaba Cloud, Amazon Web Services Inc., Google LLC, IBM Corp., Microsoft Corp., Palantir Technologies Inc., Salesforce.com Inc., SAP SE, SAS Institute Inc., and Tata Consultancy Services Ltd.
Get a Sample PDF of report – https://www.360marketupdates.com/enquiry/request-sample/14513263
Market Segment of Artificial Intelligence Platforms Industry:
Global Artificial Intelligence Platforms Market: Overview
Increasing investments in R&D for AI technology
Government bodies and enterprises are making efforts to stay ahead in the competition by developing AI-based platforms. In addition, the demand for AI technology is increasing due to the increase in the number of start-ups and investments by major vendors. For instance, Germany launched its digital strategy on AI called “AI Made in Germany” to fuel the economic and technological growth in the country. Several firms are adopting AI bots, virtual assistants, digital payment advisers, and biometric fraud detection mechanisms to track consumer behavior and enhance their compliance with regulatory systems. This increasing investments in R&D for AI technology will lead to the expansion of the global artificial intelligence platforms market at a CAGR of over 28% during the forecast period.
The increasing convergence of AI with IoT and Blockchain
Organizations are increasingly trying to mitigate the risks and limitations associated with platforms through the convergence of AI with IoT and Blockchain. The resultant new platforms use AI algorithms, IoT systems, and Blockchain technology to produce, process, and secure the data. The use of such platforms helps the organizations to improve their compliance with regulatory systems by tracking their consumer behavior. This is encouraging enterprises and government bodies to invest in AI, which is expected to have a positive impact on the overall market growth.
For the detailed list of factors that will drive the global artificial intelligence platforms market during the forecast period 2020-2023, click here.
Competitive Landscape
With the presence of several major players, the global artificial intelligence platforms market is fragmented. Technavio’s robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading artificial intelligence platforms manufacturers, that include Alibaba Cloud, Amazon Web Services Inc., Google LLC, IBM Corp., Microsoft Corp., Palantir Technologies Inc., Salesforce.com Inc., SAP SE, SAS Institute Inc., and Tata Consultancy Services Ltd.
Also, the artificial intelligence platforms market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage on all forthcoming growth opportunities.
Feel Free to Ask Question Before Purchasing the Report at – https://www.360marketupdates.com/enquiry/pre-order-enquiry/14513263
Artificial Intelligence Platforms Market Report provides comprehensive analysis of-
Market Landscape and disruption
Market Size and growth rate in Forecasted Year
Various market segments and their sizes
Artificial Intelligence Platforms Market Drivers, Trends and their impact
Challenges faced by market
Key performing regions and countries as well
Five forces as well as SWOT analysis
Vendor and Customer landscape
Strengths and Weaknesses of the key vendors
Key Summary of Artificial Intelligence Platforms Market Growth Report:
In our market size and forecast determination efforts, in-depth secondary research was initially completed to realize an honest perspective of the market in each region. Extensive primary research was also administered by interviewing key executives from the industry. These interviews helped us to fill-in the info gaps after secondary research. Several secondary sources like encyclopedia, directories, and databases are wont to identify and collect information useful for this extensive techno-commercial study.
Key Questions Answered in ROY Artificial Intelligence Platforms Market Report:
What will be the Artificial Intelligence Platforms Market growth rate of the Artificial Intelligence Platforms in FOY?
What are the key factors driving the ROY Global Artificial Intelligence Platforms Market?
What are Sales, Revenue, and Price analysis of top manufacturers of Artificial Intelligence Platforms?
Who are the distributors, traders, and dealers of the Artificial Intelligence Platforms Market?
Who are the key vendors in Artificial Intelligence Platforms space?
What are the Artificial Intelligence Platforms Market Trends, opportunities and threats faced by the vendors in the Global Artificial Intelligence Platforms Growth?
What are the Market opportunities, Market risk and Market overview of the Artificial Intelligence Platforms Market?
Purchase this report (Price 2500 USD for a single-user license) @ https://www.360marketupdates.com/purchase/14513263
In the end, the Artificial Intelligence Platforms Market report makes some important proposals for a new project of the Artificial Intelligence Platforms Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of Global Artificial Intelligence Platforms Industry covering all important parameters.
Table of Contents included in Artificial Intelligence Platforms Market ROY Report –
PART 01: Executive summary
PART 02: Scope of the report
Market overview
Base year
Forecast period
Market coverage
Market size calculation
Geographical segmentation
Vendor segmentation
PART 03: Research Methodology
Research methodology
Economic indicators
PART 04: Introduction
Key market highlights
PART 05: Market landscape
PART 06: Market segmentation by end-user industry
PART 07: Market segmentation by application
PART 08: Geographical Segmentation
PART 09: A Decision framework
PART 10: Impact of drivers and challenges And Many More Parts Covered.
Be sure to follow on Linkedin at @ 360 Market Updates for more on growth research and the research market.
CONTACT US
Name: Mr. Ajay More
Email: [email protected]
Organization: 360 Market Updates
Phone: +1 424 253 0807 / + 44 203 239 8187
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Artificial Intelligence Platforms Market Latest Research Report 2020 Top Manufaturer Vendors Covered, Regional Global Analysis, Business Growth CAGR 24.1 During Forecast Period Scientect Skip content ScientectScientect Market Research Menu Energy News Space Uncategorized Market Reports Industry Analysis for: Close search Close Menu Energy News Space Uncategorized Market Reports Industry Analysis Categories Uncategorized Artificial Intelligence Platforms Market Latest Research Report 2020 Top Manufaturer Vendors Covered, Regional Global Analysis, Business Growth CAGR 24.1 During Forecast Period Post author By sambit.k Post date September 22, 2020 GlobalArtificial Intelligence Platforms Marketresearch report compilation insight data market size, market growth trends help buyer capture opportunities, know minimize possible risks, analyse strategies key companies market outline performance market regions etc. Report contains comprehensive market vendor landscape addition SWOT analysis key vendors. Industry expertsproject Artificial Intelligence Platforms market grow aCAGR 24.1during period 20202023 Request Sample Copy Report For COVID19 Impact Analysis onArtificial Intelligence Platforms Market Global Artificial Intelligence Platforms Market: About market Artificial intelligence platform service uses software framework hardware architecture build intelligent applications. Technavios artificial intelligence platforms market analysis considers sales onpremises cloudbased deployment. Our analysis considers sales artificial intelligence platforms APAC, Europe, North America, South America, MEA. In 2020, onpremises segment significant market share, trend expected continue forecast period. Factors rising focus handling critical business data risk management strategies play significant role onpremises segment maintain market position. Also, global artificial intelligence platforms market report looks factors rising demand AIbased solutions, increasing investments RD AI technology, rise demand cloudbased AI solutions. However, data privacy issues, vendor lockin issues AI platforms, need regulatory compliance hamper growth artificial intelligence platforms industry forecast period. TheTop Manufacturersplayersincluding: Alibaba Cloud, Amazon Web Services ., Google LLC, IBM Corp., Microsoft Corp., Palantir Technologies ., ., SAP SE, SAS Institute ., Tata Consultancy Services Ltd. Get Sample PDF report Market Segment Artificial Intelligence Platforms Industry: Global Artificial Intelligence Platforms Market: Overview reasing investments RD AI technology Government bodies enterprises making efforts stay ahead competition developing AIbased platforms. In addition, demand AI technology increasing increase number startups investments major vendors. For instance, Germany launched digital strategy AI called AI Made Germany fuel economic technological growth country. Several firms adopting AI bots, virtual assistants, digital payment advisers, biometric fraud detection mechanisms track consumer behavior enhance compliance regulatory systems. This increasing investments RD AI technology lead expansion global artificial intelligence platforms market CAGR 28 forecast period. The increasing convergence AI IoT Blockchain Organizations increasingly trying mitigate risks limitations associated platforms convergence AI IoT Blockchain. The resultant new platforms use AI algorithms, IoT systems, Blockchain technology produce, process, secure data. The use platforms helps organizations improve compliance regulatory systems tracking consumer behavior. This encouraging enterprises government bodies invest AI, expected positive impact overall market growth. For detailed list factors drive global artificial intelligence platforms market forecast period 20202023, click here. Competitive Landscape With presence major players, global artificial intelligence platforms market fragmented. Technavios robust vendor analysis designed help clients improve market position, line this, report provides detailed analysis leading artificial intelligence platforms manufacturers, include Alibaba Cloud, Amazon Web Services ., Google LLC, IBM Corp., Microsoft Corp., Palantir Technologies ., ., SAP SE, SAS Institute ., Tata Consultancy Services Ltd. Also, artificial intelligence platforms market analysis report includes information upcoming trends challenges influence market growth. This help companies strategize leverage forthcoming growth opportunities. Feel Free Ask Question Before Purchasing Report Artificial Intelligence Platforms Market Report provides comprehensive analysis Market Landscape disruption Market Size growth rate Forecasted Year Various market segments sizes Artificial Intelligence Platforms Market Drivers, Trends impact Challenges faced market Key performing regions countries Five forces SWOT analysis Vendor Customer landscape Strengths Weaknesses key vendors Key Summary Artificial Intelligence Platforms Market Growth Report: In market size forecast determination efforts, indepth secondary research initially completed realize honest perspective market region. Extensive primary research administered interviewing key executives industry. These interviews helped fillin info gaps secondary research. Several secondary sources like encyclopedia, directories, databases wont identify collect information useful extensive technocommercial study. Key Questions Answered ROY Artificial Intelligence Platforms Market Report: What Artificial Intelligence Platforms Market growth rate Artificial Intelligence Platforms FOY? What key factors driving ROY Global Artificial Intelligence Platforms Market? What Sales, Revenue, Price analysis manufacturers Artificial Intelligence Platforms? Who distributors, traders, dealers Artificial Intelligence Platforms Market? Who key vendors Artificial Intelligence Platforms space? What Artificial Intelligence Platforms Market Trends, opportunities threats faced vendors Global Artificial Intelligence Platforms Growth? What Market opportunities, Market risk Market overview Artificial Intelligence Platforms Market? Purchase report Price2500 USD singleuser license@ In end, Artificial Intelligence Platforms Market report makes important proposals new project Artificial Intelligence Platforms Industry evaluating feasibility. Overall, report provides indepth insight Global Artificial Intelligence Platforms Industry covering important parameters. Table Contents included Artificial Intelligence Platforms Market ROY Report PART 01: Executive summary PART 02: Scope report Market overview Base year Forecast period Market coverage Market size calculation Geographical segmentation Vendor segmentation PART 03: Research Methodology Research methodology Economic indicators PART 04: Introduction Key market highlights PART 05: Market landscape PART 06: Market segmentation enduser industry PART 07: Market segmentation application PART 08: Geographical Segmentation PART 09: A Decision framework PART 10: Impact drivers challengesAnd Many More Parts Covered. Be sure follow Linkedin @360 Market Updatesfor growth research research market. CONTACT US Name: Mr. Ajay More Email: [emailprotected] Organization: 360 Market Updates Phone: 1 424 253 0807 44 203 239 8187 OUR OTHER REPORTS: Global Softshell Heat Jacket Market Size 2020 Current Industry Status, Share, CAGR, Growth Rate Forecast till 2026 Global Orthopedic Braces Support Casting Splints Market Report 2020 Market Analysis After Covid 19, Top Manufacturers, Global Regional Analysis, Industry Growth Opportinities Forecast till 2026 Variable Displacement Compressor Market 2020 Recent Development impact Market Share, Size, Sale, Growth Rate Future Opportunity PET Plastic Packaging Market Report 2020 Indepth Analysis Market Share, Size, Growth Rate Factors, Future Developments Prospects Global Low Resistance Micro Ohmmeters Market 2020 Industry Growth Factor, Top Manufacturers Indepth Study Market Share, Size, Price Developments Tags Artificial Intelligence Platforms, Artificial Intelligence Platforms Asia Pacific, Artificial Intelligence Platforms Europe, Artificial Intelligence Platforms Growth, Artificial Intelligence Platforms Market, Artificial Intelligence Platforms Market 2020, Artificial Intelligence Platforms Market analysis, Artificial Intelligence Platforms Market Forecast Analysis, Artificial Intelligence Platforms Market Growth, Artificial Intelligence Platforms market report, Artificial Intelligence Platforms Market Share, Artificial Intelligence Platforms Market Size Share, Artificial Intelligence Platforms Market Survey Trends, Artificial Intelligence Platforms Market Trends Forecast, Artificial Intelligence Platforms North America, Artificial Intelligence Platforms report, Artificial Intelligence Platforms statistics 2020, Artificial Intelligence Platforms USA, Google News Covid19 Impact Home Health Care Software Market Analysis, Dynamics, Forecast Supply Demand 2025 Global Contract Development Manufacturing Organization CDMO Outsourcing Market Latest Research Report 2020 Business Growth CAGR 6.91 During Forecast Period, Top Manufaturer Vendors Covered, Analysis current Share Size for: Recent Posts Global Dental impression tray market Size, Future Growth, Share, Supply, Demand, Segments Forecast 20202027 Handheld Demagnetizer Market Trends, Growth, Scope, Size, Overall Analysis Prognostication 2025 Glass Packaging Rectifier Diode Market Key Trends, Manufacturers Globe, Benefits, Opportunities 2025 Complete Growth Overview On Glass Microfiber Filter Media Market In 20202025 luding Top Key Players, Trends And Emerging Growth Factors Flexible LCP Antenna Market 2019 Industry Outline, Global Executive Players, Interpretation Benefit Growth 2025 2020 Scientect Powered WordPress To Up
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| 2022-10-27T00:00:00 |
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CENTURY OF SERVICE: Wyche celebrates 100 years with philanthropic investment – South Carolina Lawyers Weekly
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CENTURY OF SERVICE: Wyche celebrates 100 years with philanthropic investment – South Carolina Lawyers Weekly
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Home / Top Legal News / CENTURY OF SERVICE: Wyche celebrates 100 years with philanthropic investment
CENTURY OF SERVICE: Wyche celebrates 100 years with philanthropic investment
By: BridgeTower Media Newswires
October 25, 2022
By Ross Norton
[email protected]
Wyche is celebrating a century of practice with a philanthropic investment in one of South Carolina’s most prestigious and unique fellowship programs.
Wyche entered a partnership with Liberty Fellowship as the capstone of the Greenville-based law firm’s year-long celebration of its centennial. “The Challenge to Lead” calls on the business community to help build ...
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Wyche 10:59 am Tue, October 25, 2022
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CENTURY OF SERVICE: Wyche celebrates 100 years with philanthropic investment
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CENTURY OF SERVICE: Wyche celebrates 100 years philanthropic investment South Carolina Lawyers Weekly Please ensure Javascript enabled purposes website accessibility Email AddressUSER ID: Password: Manage Account Manage Your Print Online Subscription Manage Your Email Subscription LOG IN Dont Miss Criminal Practice Sentencing Mitigating Factors Failure Consider Criminal Practice Sentencing Compassionate Release Motion USSG 1B1.13 Workers Compensation Prior Back Injury Application Falsehood 20Year Gap Real Property TortNegligence Trespass Dirt Road 1990 Quiet Title Decree Real Property Church Property Trusts Revocation Refiled Opinion Criminal Practice Murder Armed Robbery Jailhouse Call Consciousness Guilt Real Property Hierarchical Church Florida Deed Necessary Signatures CENTURY OF SERVICE: Wyche celebrates 100 years philanthropic investment Workers comp settlement results 1.4M payout October 24, 2022 South Carolina Lawyers Weekly News Top Legal News Sidebar Opinion Digests Verdicts Settlements Submit Verdicts Settlements Carolina Paralegal News Events Unsung Legal Heroes Womens Justice Awards Diversity lusion Awards SCLW Hall Fame Corporate Counsel Round Table Leadership Law Advertising Submit information Biz Wire Plaques Reprints Classifieds Email Alerts Manage Account News Top Legal News Sidebar Opinion Digests Verdicts Settlements Submit Verdicts Settlements Carolina Paralegal News Events Unsung Legal Heroes Womens Justice Awards Diversity lusion Awards SCLW Hall Fame Corporate Counsel Round Table Leadership Law Advertising Submit information Biz Wire Plaques Reprints Classifieds Email Alerts Home Top Legal News CENTURY OF SERVICE: Wyche celebrates 100 years philanthropic investment CENTURY OF SERVICE: Wyche celebrates 100 years philanthropic investment By: BridgeTower Media Newswires October 25, 2022 By Ross Norton rnorton Wyche celebrating century practice philanthropic investment South Carolinas prestigious unique fellowship programs. Wyche entered partnership Liberty Fellowship capstone Greenvillebased law firms yearlong celebration centennial. The Challenge Lead calls business community help build ... Print, Digital MobileSpecial Monthly Autorenew Intro Rate131 Year369 Digital Mobile Only1 Year369 Print, Digital MobileSpecial Monthly Autorenew Intro Rate131 Year369 Digital Mobile Only1 Year369 Print, Digital MobileSpecial Monthly Autorenew Intro Rate131 Year369Digital Mobile Only1 Year369 Email AddressUSER ID: Password: Enter user password fields gain access subscriber content site. Your subscription includes set login credentials exclusive use. Security features integrated site: If signs credentials logged in, site automatically close ongoing login lose access time. To inquire group subscriptions enterprise site license firm, contact Sian Taylor. If feel login credentials second party, contact customer service 8776159536 assistance changing password. Already paid subscriber registered online access yet? For instructions premium web access, click here. Forgot password? Wyche 10:59 Tue, October 25, 2022 South Carolina Lawyers Weekly BridgeTower Media Newswires Tagged with: Wyche Previous: Workers comp settlement results 1.4M payout Next: Real Property Hierarchical Church Florida Deed Necessary Signatures Leave ReplyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Top Legal News CENTURY OF SERVICE: Wyche celebrates 100 years philanthropic investment October 25, 2022 Workers comp settlement results 1.4M payout October 25, 2022 Teen plaintiffs settle 10M UTV rollover October 19, 2022 IHOP trip fall leads 1.7M settlement October 19, 2022 EPIC COLLABORATION: South Carolina, North Carolina NALS chapters meet Charlotte October 17, 2022 Email Alerts My Account PRIVACY POLICY YOUR CALIFORNIA PRIVACY RIGHTSPRIVACY POLICY DO NOT SELL MY INFOCOOKIE POLICY SUBSCRIBER AGREEMENT LOG IN SUBSCRIBE FREE EMAIL NEWSLETTERS MANAGE ACCT Recent Posts Criminal Practice Sentencing Mitigating Factors Failure Consider Criminal Practice Sentencing Compassionate Release Motion USSG 1B1.13 Workers Compensation Prior Back Injury Application Falsehood 20Year Gap Real Property TortNegligence Trespass Dirt Road 1990 Quiet Title Decree South Carolina Lawyers Weekly ABOUT CONTACT US EVENTS FREQUENTLY ASKED QUESTIONS ACCESSIBILITY STATEMENT 2022 South Carolina Lawyers Weekly 130 N. 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https://scrippsnews.com/stories/fake-people-real-threat-how-ai-is-spreading-disinformation/
| 2023-02-14T00:00:00 |
en
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Fake People, Real Threat: How AI is Spreading Disinformation (VIDEO)
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Fake People, Real Threat: How AI is Spreading Disinformation (VIDEO)
Scripps NewsnewsU.S. NewsWorldLifePoliticsScience/HealthTechBusinessEntertainmentSportsMental Healthshowswatch livesearchFollow Us
Artificial IntelligenceFake people, real threat: How AI is being used to spread propagandaA new report highlights how life-like, AI-generated influencers are being used to promote Chinese propaganda and discredit American ideals online.Fake people, real threat: How AI is being used to spread propagandaSynthesia / The New York TimesArticle by Scripps News StaffFacebook ShareTweetEmailSMSFebruary 14, 2023While artificial intelligence has broad applications across many different fields, experts are now worried about it being used to spread disinformation.A report from the research firm Graphika highlights a new Chinese propaganda campaign called "Spam-o-flouge."It's using life-like AI figures to promote the interests of the Chinese Communist Party and discrediting American ideals.The software was created by the artificial intelligence firm Synthesia and allows you to generate videos from plain text in minutes. It's been used by more than 40,000 companies worldwide for things like consulting, video blogs and advertising, according to the company's website.But now it's raising concerns that AI like Synthesia's is being used as a tool to spread disinformation.The technology is so sophisticated, that the AI-generated avatars can even have debates amongst themselves. Next Level: AI art is almost human, but fueled by unwilling artistsWhat are the ethical, legal and moral boundaries of creating AI-generated content from other people's works?LEARN MORESiwei Lyu is a computer science and engineering professor at the University at Buffalo and he says the situation is raising major concerns, but there are things that can be done to combat AI disinformation."I think most importantly, the government should invest more in counter-technologies that can help people improve their awareness and resilience to disinformation," he said."Banning the technology may not be as helpful as we may think, because the technology has beneficial uses. So, just banning it would not be very effective. On the other hand, we do need to put in some regulations to prevent potential misuses, like spreading disinformation."Latest in Artificial Intelligence3:03How artificial intelligence is helping to protect your children onlineIt's not something parents have to pay for. Rather, it's a service that platforms use.By Branden Camp / AP3:37AI-powered walking sticks could help those who are visually impairedResearchers say the walking stick is still years away from being available to the public.By Scripps News3:07AI, like ChatGPT, is creating teaching challenges on college campusesPlagiarism is nothing new, but the role artificial intelligence is playing in it is now a concern at colleges across the country.By Scripps News Top Stories Gunmen storm hospital of newborn saved from quake in SyriaThe gunmen told officers protecting the girl that they were going after the hospital director for firing their friend, and not there for the baby.By Ghaith Alsayed / APGunmen storm hospital of newborn saved from quake in SyriaThe gunmen told officers protecting the girl that they were going after the hospital director for firing their friend, and not there for the baby.By Ghaith Alsayed / AP2:44A Valentine's Day card may be more important than flowersIt turns out the card that comes with the flowers may actually be more important than the arrangement itself.By Scripps News Scripps NewsSite NavigationHomeNewsInvestigationsDocumentariesShowsCoronavirusWhere to watchInformationTV ScheduleChannel FinderContact UsCareersNewsletterPrivacy & TermsPrivacy PolicyTerms of UseLicensingJournalism Ethics GuidelinesPrivacy CenterTechnology SettingsConnect With Us
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Fake People, Real Threat: How AI is Spreading Disinformation (VIDEO)
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Fake People, Real Threat: How AI Spreading Disinformation VIDEO Scripps NewsnewsU.S. NewsWorldLifePoliticsScienceHealthTechBusinessEntertainmentSportsMental Healthshowswatch livesearch Artificial IntelligenceFake people, real threat: How AI spread propagandaA new report highlights lifelike, AIgenerated influencers promote Chinese propaganda discredit American ideals online.Fake people, real threat: How AI spread propagandaSynthesia The New York TimesArticle byScripps News StaffFacebook ShareTweetEmailSMSFebruary 14, 2023While artificial intelligence broad applications different fields, experts worried spread disinformation.Areportfrom research firm Graphika highlights new Chinese propaganda campaign called Spamoflouge.Its lifelike AI figures promote interests Chinese Communist Party discrediting American ideals.The software created artificial intelligence firmSynthesiaand allows generate videos plain text minutes. Its 40,000 companies worldwide things like consulting, video blogs advertising, according companys website.But raising concerns AI like Synthesias tool spread disinformation.The technology sophisticated, AIgenerated avatars debates themselves.Next Level: AI art human, fueled unwilling artistsWhat ethical, legal moral boundaries creating AIgenerated content peoples works?LEARN MORESiwei Lyu science engineering professor University Buffalo says situation raising major concerns, things combat AI disinformation.I think importantly, government invest countertechnologies help people improve awareness resilience disinformation, said.Banning technology helpful think, technology beneficial uses. So, banning effective. On hand, need regulations prevent potential misuses, like spreading disinformation.Latest Artificial Intelligence3:03How artificial intelligence helping protect children onlineIts parents pay for. Rather, service platforms use.By Branden Camp AP3:37AIpowered walking sticks help visually impairedResearchers walking stick years away available public.By Scripps News3:07AI, like ChatGPT, creating teaching challenges college campusesPlagiarism new, role artificial intelligence playing concern colleges country.By Scripps News Top Stories Gunmen storm hospital newborn saved quake SyriaThe gunmen told officers protecting girl going hospital director firing friend, baby.By Ghaith Alsayed APGunmen storm hospital newborn saved quake SyriaThe gunmen told officers protecting girl going hospital director firing friend, baby.By Ghaith Alsayed AP2:44A Valentines Day card important flowersIt turns card comes flowers actually important arrangement itself.By Scripps News Scripps NewsSite NavigationHomeNewsInvestigationsDocumentariesShowsCoronavirusWhere watchInformationTV ScheduleChannel Finder UsCareersNewsletterPrivacy TermsTerms UseLicensingJournalism Ethics GuidelinesPrivacy CenterTechnology SettingsConnect With Us icon icon 2023 Scripps News, The E.W. Scripps Company. .
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https://sdbn.org/san-diego-biotech-news/2023/01/31/artificial-intelligence-aids-discovery-of-super-tight-binding-antibodies/
| 2023-02-01T00:00:00 |
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Artificial Intelligence Aids Discovery of Super Tight-Binding Antibodies – San Diego Biotechnology Network
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Artificial Intelligence Aids Discovery of Super Tight-Binding Antibodies – San Diego Biotechnology Network
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Artificial Intelligence Aids Discovery of Super Tight-Binding Antibodies
January 31, 2023
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UC San Diego scientists developed an artificial intelligence tool that could accelerate the development of new high affinity antibody drugs.
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Artificial Intelligence Aids Discovery of Super Tight-Binding Antibodies
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| 2,023 |
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https://searchenterpriseai.techtarget.com/feature/Edge-AI-brings-new-uses-to-IoT-devices
| 2021-03-04T00:00:00 |
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Edge AI brings new uses to IoT devices
A Lenovo executive describes AI at the edge, highlighting how this rapidly advancing technology unlocks new automations and capabilities within IoT devices.
Share this item with your network:
By
Mark Labbe,
News Writer
Published: 04 Mar 2021
AI at the edge brings intelligence to IoT equipment, unlocking new automations and capabilities within devices such as ATMs, cameras, and machine sensors.
During a session at Microsoft Ignite 2021 on March 3, Charles Ferland, VP and GM of edge computing and communication services providers at multinational tech vendor Lenovo, and Oscar Pallarols, global commercial director at Cellnex, discussed their latest applications of edge AI.
Cellnex, a Spain-based operator of wireless infrastructure, uses Lenovo technology to help power its devices.
The simplest definition of edge computing is that it’s “computing capabilities outside of the data center, closer to where the data is actually created, closer to where the users are actually using that data,” Ferland said.
For enterprises, edge computing reduces requirements on network infrastructure, enables IoT devices to make faster insights based the data they collect, and optimize end user experiences, he said.
Edge AI Use case
Cellnex, which operates more than 60,000 mobile network sites across Europe and is building a 5G ecosystem, developed an edge computing architecture with Lenovo, explained Pallarols.
In one application, Cellnex deployed a tower at a private race track in Barcelona that tests commercial vehicles for automotive companies. The tower, fitted with an edge server, collects data from cameras and sensors positioned around the track, as well as from the cars themselves.
Those inputs, combined with machine learning, can detect if cars are on the track. If not, equipment will automatically power down, to save power.
The cameras and sensors can detect specific vehicles as well. If an ambulance approaches in a rescue service, for example, the system can detect it is an emergency, and will automatically send an alert to cars on the road.
Technological progress
Advances in hardware and AI and cloud computing technologies have made edge computing cheaper and more useful than ever before.
By embedding AI in edge devices, enterprises can infuse once “dumb’ electronics with smart capabilities. Live-feed cameras can now identify human faces or scan license plates, for example, and vehicles can move autonomously.
Gartner recently predicted that by 2025, enterprises will create and process about 75% of their data at the edge.
Technology vendors appear to be moving quickly in that direction.
During Ignite, Microsoft introduced the public preview of Azure Percept, a hardware-software platform for bringing Azure services to the edge.
In December, AWS released a host of cloud and edge AI products specifically for industrial clients. The products included machine learning-powered sensors to detect machine temperature and vibration data, as well as services to enable factory cameras to detect physical machine abnormalities using computer vision.
Meanwhile, on March 1, Lenovo unveiled two new embedded edge computers, ThinkEdge SE30 and ThinkEdge SE50.
Built on Lenovo’s existing edge portfolio, the devices are powered by Intel processors and 4G and 5G connectivity, although ThinkEdge SE30, the smaller of the two devices, won’t receive 5G support until later this year.
Embedded applications for ThinkEdge SE30 include automated production lines in manufacturing, kiosks and ATMs for smart retail, and medical device monitor in healthcare, according to Lenovo. ThinkEdge, meanwhile, is meant for applications that require more data analytics and processing at the edge.
Lenovo’s edge portfolio includes tablets, laptops, edge servers, data centers, and storage.
Microsoft Ignite 2021 was held virtually March 2-4.
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Edge AI brings new uses to IoT devices
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Edge AI brings new uses IoT devices EnterpriseAI TechTarget Network Signup now. Start free, unlimited access. Techtarget Network News Features Tips More Content Answers Buyers Guides Definitions Essential Guides Opinions Photo Stories Podcasts Quizzes Tutorials Sponsored Communities EnterpriseAI Topic AI infrastructure AI business strategies AI technologies AI platforms AI careers Enterprise applications AI Machine learning platforms All Topics SubTopic All Subtopics AI hardware AI cloud Building vs. buying AI All Subtopics Follow: News Stay informed latest enterprise technology news product updates. Edge AI brings new uses IoT devices A Lenovo executive describes AI edge, highlighting rapidly advancing technology unlocks new automations capabilities IoT devices. Share item network: By Mark Labbe, News Writer Published: 04 Mar 2021 AI edge brings intelligence IoT equipment, unlocking new automations capabilities devices ATMs, cameras, machine sensors. During session Microsoft Ignite 2021 March 3, Charles Ferland, VP GM edge computing communication services providers multinational tech vendor Lenovo, Oscar Pallarols, global commercial director Cellnex, discussed latest applications edge AI. Cellnex, Spainbased operator wireless infrastructure, uses Lenovo technology help power devices. The simplest definition edge computing computing capabilities outside data center, closer data actually created, closer users actually data, Ferland said. For enterprises, edge computing reduces requirements network infrastructure, enables IoT devices faster insights based data collect, optimize end user experiences, said. Edge AI Use case Cellnex, operates 60,000 mobile network sites Europe building 5G ecosystem, developed edge computing architecture Lenovo, explained Pallarols. In application, Cellnex deployed tower private race track Barcelona tests commercial vehicles automotive companies. The tower, fitted edge server, collects data cameras sensors positioned track, cars themselves. Those inputs, combined machine learning, detect cars track. If not, equipment automatically power down, save power. The cameras sensors detect specific vehicles well. If ambulance approaches rescue service, example, detect emergency, automatically send alert cars road. Technological progress Advances hardware AI cloud computing technologies edge computing cheaper useful before. By embedding AI edge devices, enterprises infuse dumb electronics smart capabilities. Livefeed cameras identify human faces scan license plates, example, vehicles autonomously. Gartner recently predicted 2025, enterprises create process 75 data edge. Technology vendors appear moving quickly direction. During Ignite, Microsoft introduced public preview Azure Percept, hardwaresoftware platform bringing Azure services edge. In December, AWS released host cloud edge AI products specifically industrial clients. The products included machine learningpowered sensors detect machine temperature vibration data, services enable factory cameras detect physical machine abnormalities vision. Meanwhile, March 1, Lenovo unveiled new embedded edge computers, ThinkEdge SE30 ThinkEdge SE50. Built Lenovos existing edge portfolio, devices powered Intel processors 4G 5G connectivity, ThinkEdge SE30, smaller devices, wont receive 5G support later year. Embedded applications ThinkEdge SE30 include automated production lines manufacturing, kiosks ATMs smart retail, medical device monitor healthcare, according Lenovo. ThinkEdge, meanwhile, meant applications require data analytics processing edge. Lenovos edge portfolio includes tablets, laptops, edge servers, data centers, storage. Microsoft Ignite 2021 held virtually March 24. 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Airbyte set advance open source data integration platform The CEO data integration startup explains looking grow technology community vendors open ... Open source database migration guide: How transition Open source database transitions rise prove worthy competitors commercial database options, but... ERP Epicor Software applications transition SaaS In QA, Epicor CEO Steve Murphy discusses ERP vendor moving products premises SaaS model ... Review global supply chains delicate undertaking A federal review vital global supply chains semiconductors likely produce carrotstick approach change, ... Call review critical supply chains praised, questioned The Biden administration requiring federal agencies conduct review critical supply chains, dividing analysts ... 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| 2,021 |
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] | 1 | 3,132 |
https://seekingalpha.com/article/4610950-veeva-systems-ai-potential-life-sciences-underappreciated?source=feed_all_articles
| 2023-06-12T00:00:00 |
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Veeva Systems: AI Potential For Life Sciences Underappreciated (NYSE:VEEV) | Seeking Alpha
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Veeva Systems: AI Potential For Life Sciences Underappreciated (NYSE:VEEV) | Seeking Alpha
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(VEEV)2 LikesHunter Wolf82 FollowersFollowSummaryVeeva Systems focuses on providing cloud software and applications for the life sciences industry, including pharmaceuticals and biotech companies, making it unique in the market.Key growth drivers for Veeva include data analytics and AI, as well as drug safety systems, which are essential for pharmaceutical companies.Despite recent stock price underperformance, Veeva has strong financials, with a 40% adjusted operating margin and a $3 billion cash balance, making it an attractive investment opportunity. Michael ViWe suggest investors take advantage of recent stock weakness to buy Veeva Systems (NYSE:VEEV). Their data analytics and AI capabilities and potential are underappreciated by the market. As they are building their own proprietary data assets, in our opinion, Veeva could become the most valuable AI software player for the life sciences industry. Business Overview Veeva was founded in 2007. Less than two decades later, they will be approaching $3 billion in revenue. Veeva’s core business is to build the industry cloud platform and applications for pharmaceuticals and biotech companies in the life science industry. The best way to think about Veeva’s business is the marriage of life science and technology. 93% of their revenue is coming from pharma and biotech industries; 4% from MedTech and 3% is consumer products consumer packaged goods, cosmetics etc. Veeva introduced its Vault product line in 2011, expanding its offerings beyond core CRM and commercial cloud into document management to address more use cases within life sciences. Veeva started out selling cloud software, then they moved to data analytics, and two years ago, they started up a consulting arm for the business process work informed by their applications and data. Most people would think the pharma and biotech industry are using the best class technologies. However, quite the opposite, the whole life science industry is using very old technology and platform to manage their day-to-day operations. For example, paper and spreadsheets are wildly used in the clinical trial, regulatory submission, as well as drug safety monitoring. The cloud software and applications for life science is a very niche industry, and not too many companies are focusing in this area. That makes Veeva unique. Key Growth Drivers Data Analytics and AI: Veeva has been investing heavily in R&D for new product innovations. They have spent many years to launch the QualityDocs, document management system, regulated content management system, as well as structured data quality management system. With all these platforms and products, Veeva has the capability to use data analytics and AI to help their life science customers to better manage their data. In our opinion, it would be hard to think about another software company that will have such strong foundation to launch AI related products/services over the next decade. Veeva is building their own proprietary data assets with patents. In the future, AI, in our opinion, would be able to leverage these assets as machine learning inputs and make these data more valuable. In addition, Veeva is making their applications fit very well when their customers have their own proprietary AI applications. For example, their Vault platform is an open ecosystem, and their customers can plug in their own AI applications. Drug Safety System: Every pharmaceutical company must have a drug safety system as it is regulated. Without the cloud system, these pharmaceutical companies have to use legacy technologies to monitor the drug safety. Veeva is quite successful in the drug safety applications. The business has structural tailwind for future growth. Downside Risk Weak biotech funding environment: Why is the stock price underperformed? The main factor is the weakness of biotech funding environment. The high interest rate has caused the tightening of new biotech funding, most for smaller biotech companies. In addition, the high interest rate also puts some cap on some big companies’ expansion plan. So, if these big companies cannot expand, they will buy less from Veeva. However, we think it is a misconception. Veeva doesn’t have big exposure in these emerging biotech companies. As they disclosed, only 4% of sales are these small biotech companies. In their recent Q1 earning call, they indicated they hadn’t seen a significant change in the macro environment in their end-markets. Competition from legacy player, namely IQVIA Holdings (IQV): IQVIA also launched their own content management and R&D-centered applications within their OCE (Orchestrated Customer Engagement) portfolio to compete against Veeva’s Vault platform. However, IQVIA’s core business is using the legacy platform, and in our opinion, their platform and data analytics capabilities cannot fit the growing technology demand for life science industry. Financially, IQVIA has been growing at low single digits in sales, versus Veeva’s teen’s growth rate. Apparently, we think IQVIA is losing market share. Recent Quarterly Result Veeva announced their Q1 Fiscal 2024 result on May 31, 2023. They guided 10% of sales growth in FY24, and 18% growth in FY25. Noted that in FY24’s guidance, there would be $95 million negative impact due to customer contracting change that standardized termination for convenience rights in their master subscription agreements went into effect on February 1, 2023. On an adjusted basis, their FY24’s guidance indicates 14% of sales growth. In the earning call, the management team also addressed the weakness of biotech funding environment, especially for small biotech companies. They indicated the impact for Veeva is marginal, as only 4% of sales were coming from these small biotech companies. In addition, they emphasized their AI capabilities and their proprietary data assets strength. They made it quite clear that AI is going to play out for Veeva over the next decade. Financials and Valuation Unlike most SaaS companies, Veeva is a highly profitable software company, with more than 40% of adjusted operating margin. They grew both the top line and bottom-line by over 30% annually. Veeva has a very strong balance sheet with $3 billion of cash. In 2022, they generated more than $750 million of free cash flow. As a software company, they are running negative working capital. The company, we believe, will be flooded with cash over the next decade. The current enterprise value is $27 billion, and the free cash flow is estimated to be close to $1 billion in FY25. The free cash flow multiple (27x) is quite cheap given it is a 20% type of growth company. In our proprietary DCF model, we are using 10% of WACC, and 4% of terminal growth rate. Considering the $95 million negative impact due to customer contracting change that standardized termination for convenience rights in their master subscription agreements in FY23, we assume 10% of sales growth in FY23 and 20% in FY24. From FY25 beyond, we assume they have a normalized growth rate at 24%. On the margin side, we usually expect a typical SaaS company to reach ~40% when the company reaches a certain scale. In our model, we assume a margin expansion towards 40% in the next ten years. DCF Model - Author's CalculationsAs a SaaS company, Veeva currently has a very high free cash flow conversion ratio. We expect their free cash flow conversion to reach around 40% in FY32, which is in line with most mature SaaS companies. DCF Model - Author's CalculationsApplying 10% of WACC to calculate the present value of the free cash flow to the firm (FCFF) over the next ten years, we get $9.9 billion. The second step is to calculate the present value of FCFF for the terminal value, and the amount is $32.2 billion. As such, the total enterprise value for Veeva is $42 billion in our model. Adjusting the gross debt and cash balance, the fair value of Veeva's stock price is $295.5. DCF Model - Author's CalculationsConclusion We think Veeva is well positioned for the AI in the life sciences industry, and their capability and unique data set have not been appreciated by the capital market and mass investors. As the life science industry continues to upgrade their software platform and invest in AI, Veeva will shine as a diamond. We encourage investors to take advantage of current stock weakness to own this undervalued company. The current fair value is $295.5, per our estimates.This article was written byHunter Wolf82 FollowersFollowLong term quality growth styleAnalyst’s Disclosure: I/we have a beneficial long position in the shares of VEEV 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.Like (2)ShareCommentRecommended For YouTo 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.
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Veeva Systems: AI Potential For Life Sciences Underappreciated (NYSE:VEEV)
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Veeva Systems: AI Potential For Life Sciences Underappreciated NYSE:VEEV Seeking Alpha Skip contentHomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisons PremiumEntering text input field update search result belowTry free Symbols, analysts, keywordsLog inHomeStock IdeasLong IdeasHealthcareVeeva Systems: AI Potential For Life Sciences UnderappreciatedJun. 12, 2023 12:01 PM ETVeeva Systems . VEEV2 LikesHunter Wolf82 FollowersFollowSummaryVeeva Systems focuses providing cloud software applications life sciences industry, including pharmaceuticals biotech companies, making unique market.Key growth drivers Veeva include data analytics AI, drug safety systems, essential pharmaceutical companies.Despite recent stock price underperformance, Veeva strong financials, 40 adjusted operating margin 3 billion cash balance, making attractive investment opportunity. Michael ViWe suggest investors advantage recent stock weakness buy Veeva Systems NYSE:VEEV. Their data analytics AI capabilities potential underappreciated market. As building proprietary data assets, opinion, Veeva valuable AI software player life sciences industry. Business Overview Veeva founded 2007. Less decades later, approaching 3 billion revenue. Veevas core business build industry cloud platform applications pharmaceuticals biotech companies life science industry. The best way think Veevas business marriage life science technology. 93 revenue coming pharma biotech industries; 4 MedTech 3 consumer products consumer packaged goods, cosmetics etc. Veeva introduced Vault product line 2011, expanding offerings core CRM commercial cloud document management address use cases life sciences. Veeva started selling cloud software, moved data analytics, years ago, started consulting arm business process work informed applications data. Most people think pharma biotech industry best class technologies. However, opposite, life science industry old technology platform manage daytoday operations. For example, paper spreadsheets wildly clinical trial, regulatory submission, drug safety monitoring. The cloud software applications life science niche industry, companies focusing area. That makes Veeva unique. Key Growth Drivers Data Analytics AI: Veeva investing heavily RD new product innovations. They spent years launch QualityDocs, document management system, regulated content management system, structured data quality management system. With platforms products, Veeva capability use data analytics AI help life science customers better manage data. In opinion, hard think software company strong foundation launch AI related productsservices decade. Veeva building proprietary data assets patents. In future, AI, opinion, able leverage assets machine learning inputs data valuable. In addition, Veeva making applications fit customers proprietary AI applications. For example, Vault platform open ecosystem, customers plug AI applications. Drug Safety System: Every pharmaceutical company drug safety regulated. Without cloud system, pharmaceutical companies use legacy technologies monitor drug safety. Veeva successful drug safety applications. The business structural tailwind future growth. Downside Risk Weak biotech funding environment: Why stock price underperformed? The main factor weakness biotech funding environment. The high rate caused tightening new biotech funding, smaller biotech companies. In addition, high rate puts cap big companies expansion plan. So, big companies expand, buy Veeva. However, think misconception. Veeva doesnt big exposure emerging biotech companies. As disclosed, 4 sales small biotech companies. In recent Q1 earning call, indicated hadnt seen significant change macro environment endmarkets. Competition legacy player, IQVIA Holdings IQV: IQVIA launched content management RDcentered applications OCE Orchestrated Customer Engagement portfolio compete Veevas Vault platform. However, IQVIAs core business legacy platform, opinion, platform data analytics capabilities fit growing technology demand life science industry. Financially, IQVIA growing low single digits sales, versus Veevas teens growth rate. Apparently, think IQVIA losing market share. Recent Quarterly Result Veeva announced Q1 Fiscal 2024 result May 31, 2023. They guided 10 sales growth FY24, 18 growth FY25. Noted FY24s guidance, 95 million negative impact customer contracting change standardized termination convenience rights master subscription agreements went effect February 1, 2023. On adjusted basis, FY24s guidance indicates 14 sales growth. In earning call, management team addressed weakness biotech funding environment, especially small biotech companies. They indicated impact Veeva marginal, 4 sales coming small biotech companies. In addition, emphasized AI capabilities proprietary data assets strength. They clear AI going play Veeva decade. Financials Valuation Unlike SaaS companies, Veeva highly profitable software company, 40 adjusted operating margin. They grew line bottomline 30 annually. Veeva strong balance sheet 3 billion cash. In 2022, generated 750 million free cash flow. As software company, running negative working capital. The company, believe, flooded cash decade. The current enterprise value 27 billion, free cash flow estimated close 1 billion FY25. The free cash flow multiple 27x cheap given 20 type growth company. In proprietary DCF model, 10 WACC, 4 terminal growth rate. Considering 95 million negative impact customer contracting change standardized termination convenience rights master subscription agreements FY23, assume 10 sales growth FY23 20 FY24. From FY25 beyond, assume normalized growth rate 24. On margin side, usually expect typical SaaS company reach 40 company reaches certain scale. In model, assume margin expansion 40 years. DCF Model Authors CalculationsAs SaaS company, Veeva currently high free cash flow conversion ratio. We expect free cash flow conversion reach 40 FY32, line mature SaaS companies. DCF Model Authors CalculationsApplying 10 WACC calculate present value free cash flow firm FCFF years, 9.9 billion. The second step calculate present value FCFF terminal value, 32.2 billion. As such, total enterprise value Veeva 42 billion model. Adjusting gross debt cash balance, fair value Veevas stock price 295.5. DCF Model Authors CalculationsConclusion We think Veeva positioned AI life sciences industry, capability unique data set appreciated capital market mass investors. As life science industry continues upgrade software platform invest AI, Veeva shine diamond. We encourage investors advantage current stock weakness undervalued company. The current fair value 295.5, estimates.This article written byHunter Wolf82 FollowersFollowLong term quality growth styleAnalysts Disclosure: Iwe beneficial long position shares VEEV 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.Like 2ShareCommentRecommended For YouTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. 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Topics An Autonomous Ship Used AI to Cross the Atlantic Without a Human Crew
By Vanessa Bates Ramirez - June 23, 2022 0
Just under 402 years ago, in August of 1620, the Mayflower set sail from Southampton, England, bound for America. The 100-foot-long-long, triple-masted wooden vessel with canvas sails took more than two months to cross the Atlantic. It carried 102 passengers, had a max speed of three knots an hour (that’s about 6 kilometers or 3.7 miles an hour) and required a crew of 30 to operate.
Earlier this month, another Mayflower crossed the Atlantic, but it couldn’t have been more different from its namesake in almost every way. The one similarity was that, well, it was also a boat.
The differences? The new Mayflower—logically dubbed the Mayflower 400—is a 50-foot-long trimaran (that’s a boat that has one main hull with a smaller hull attached on either side), can go up to 10 knots or 18.5 kilometers an hour, is powered by electric motors that run on solar energy (with diesel as a backup if needed), and required a crew of… zero.
That’s because the ship was navigated by an on-board AI. Like a self-driving car, the ship was tricked out with multiple cameras (6 of them) and sensors (45 of them) to feed the AI information about its surroundings and help it make wise navigation decisions, such as re-routing around spots with bad weather. There’s also onboard radar and GPS, as well as altitude and water-depth detectors.
The ship and its voyage were a collaboration between IBM and a marine research non-profit called ProMare. Engineers trained the Mayflower 400’s “AI Captain” on petabytes of data; according to an IBM overview about the ship, its decisions are based on if/then rules and machine learning models for pattern recognition, but also go beyond these standards. The algorithm “learns from the outcomes of its decisions, makes predictions about the future, manages risks, and refines its knowledge through experience.” It’s also able to integrate far more inputs in real time than a human is capable of.
The training included teaching the algorithm to identify objects in its path like cargo ships, fishing vessels, or shipping containers floating in the water.
For all its training and preparation, though, the Mayflower 400 ended up falling a bit short of its goal.
It set sail from Plymouth, England on April 29 and was meant to take three weeks to arrive in Washington, DC—but a mechanical issue ended up derailing it to the Canadian port of Halifax. Details weren’t specified, but it may have been something similar to what happened during the ship’s first attempted voyage in 2021, when a metal component on the backup generator fractured, and solar power alone wasn’t enough for the ship to complete its journey.
The Mayflower 400’s engineers will doubtless press on, though, and are likely already planning another voyage for the high-tech autonomous ship. Despite the snafus, it’s pretty amazing to contemplate how far technology has come since the original Mayflower crossed the Atlantic. Makes you wonder what a similar voyage will look like 400 years from now; from hydrogen-powered airships to civilian submarines to faster, sleeker AI-powered solar vessels, it seems anything is possible.
Image Credit: Oliver Dickinson for IBM/ProMare
TAGSAutomation
Vanessa Bates RamirezVanessa is senior editor of Singularity Hub. She's interested in biotechnology and genetic engineering, the nitty-gritty of the renewable energy transition, the roles technology and science play in geopolitics and international development, and countless other topics.Learn MoreFollow Vanessa:
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An Autonomous Ship Used AI to Cross the Atlantic Without a Human Crew
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An Autonomous Ship Used AI Cross Atlantic Without Human Crew Topics AI Robotics Neuroscience Computing Genetics Biotech More Topics Experts Featured Experts Perspectives Interviews Books Events Videos Latest Series Talks About Singularity About Programs Membership Experts Community Careers Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Singularity Hub Topics Experts Events Videos Singularity Group Singularity Community Singularity Global newsletter Topics An Autonomous Ship Used AI Cross Atlantic Without Human Crew By Vanessa Bates Ramirez June 23, 2022 0 Just 402 years ago, August 1620, Mayflower set sail Southampton, England, bound America. The 100footlonglong, triplemasted wooden vessel canvas sails took months cross Atlantic. It carried 102 passengers, max speed knots hour thats 6 kilometers 3.7 miles hour required crew 30 operate. Earlier month, Mayflower crossed Atlantic, different namesake way. The similarity that, well, boat. The differences? The new Mayflowerlogically dubbed Mayflower 400is 50footlong trimaran thats boat main hull smaller hull attached side, 10 knots 18.5 kilometers hour, powered electric motors run solar energy diesel backup needed, required crew zero. Thats ship navigated onboard AI. Like selfdriving car, ship tricked multiple cameras 6 sensors 45 feed AI information surroundings help wise navigation decisions, rerouting spots bad weather. Theres onboard radar GPS, altitude waterdepth detectors. The ship voyage collaboration IBM marine research nonprofit called ProMare. Engineers trained Mayflower 400s AI Captain petabytes data; according IBM overview ship, decisions based ifthen rules machine learning models pattern recognition, standards. The algorithm learns outcomes decisions, makes predictions future, manages risks, refines knowledge experience. Its able integrate far inputs real time human capable of. The training included teaching algorithm identify objects path like cargo ships, fishing vessels, shipping containers floating water. For training preparation, though, Mayflower 400 ended falling bit short goal. It set sail Plymouth, England April 29 meant weeks arrive Washington, DCbut mechanical issue ended derailing Canadian port Halifax. Details werent specified, similar happened ships attempted voyage 2021, metal component backup generator fractured, solar power wasnt ship complete journey. The Mayflower 400s engineers doubtless press on, though, likely planning voyage hightech autonomous ship. Despite snafus, pretty amazing contemplate far technology come original Mayflower crossed Atlantic. Makes wonder similar voyage look like 400 years now; hydrogenpowered airships civilian submarines faster, sleeker AIpowered solar vessels, possible. Image Credit: Oliver Dickinson IBMProMare TAGSAutomation Vanessa Bates RamirezVanessa senior editor Singularity Hub. Shes interested biotechnology genetic engineering, nittygritty renewable energy transition, roles technology science play geopolitics international development, countless topics.Learn MoreFollow Vanessa: Latest An Autonomous Ship Used AI Cross Atlantic Without Human Crew Japans Kairyu Sea Turbine Will Harvest NeverEnding Power Deep Ocean Currents These 3D Printed Millirobots Can Sense React Their Surroundings RELATED Volvo DHL Are Partnering HubtoHub Autonomous Trucking A 590FootTall Dam China Will Be Built Entirely Robots The UKs First Autonomous Passenger Bus Started Road Tests This Week Dont miss trend. Get Hub delivered inbox How Extinction Ice Age Mammals May Have Forced Us Invent Civilization Singularity HubAboutCreative CommonsPitch Us UsTerms UseSingularity GroupAboutExpertsMembershipCareersProgramsCommunityGet latest news Singularity HubSign Up Singularity University, Singularity Hub, Singularity Summit, SU Labs, Singularity Labs, Exponential Medicine, Exponential Finance associated logos design elements trademarks andor service marks Singularity Education Group. 2022 Singularity Education Group. . Singularity University degree granting institution.
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You are here:Home2023March22Sachin Rukshan – Adanne Ai Sudu Manike (අඬන්නේ ඇයි ) – Knockouts – Ranking Chairs – The Voice
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https://skyline-gazette.com/2020/05/07/global-ai-governance-market-expected-to-reach-highest-cagr-by-2025-strategy-of-the-industry-players-ibm-google-facebook-aws-microsoft-etc/
| 2020-05-08T00:00:00 |
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Global AI Governance Market Expected to reach highest CAGR by 2025 strategy of the industry players: IBM, Google, Facebook, AWS, Microsoft, etc. – Skyline Gazette
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Global AI Governance Market Expected to reach highest CAGR by 2025 strategy of the industry players: IBM, Google, Facebook, AWS, Microsoft, etc. – Skyline Gazette
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Global AI Governance Market Expected to reach highest CAGR by 2025 strategy of the industry players: IBM, Google, Facebook, AWS, Microsoft, etc.
May 7, 2020 Anita
The AI Governance Market study is major compilation of significant information with respect to the competitor details of this market. Likewise, the information is also inclusive of the several regions where the Global AI Governance Market has successfully gained the position. Report on the Global AI Governance Market has been prepared after conducting a comprehensive research through a systematized methodology. These skills are useful for scrutinizing the market on the terms of outlined research guidelines. Mainly, research report covers all the information about the target audience, manufactures, vendors, research papers, products and many more. A research report on the Global AI Governance Market offers a detailed analysis about the market share, size, trends, and growth prospects. In addition, the report contains market volume with an accurate estimation offered in the report. They deliver a range of marketing as well as industry research results mainly targeted at the individuals looking forward to invest in the market.
This study covers following key players:
IBM
Google
Facebook
AWS
Microsoft
Salesforce.com
SAP
FICO
2021.AI
ZestFinance
SAS Institute
Pymetrics
H2O.AI
integrate.ai
Request a sample of this report @ https://www.orbismarketreports.com/sample-request/94335?utm_source=Pooja
The Global AI Governance Market study also sheds light on the highly lucrative market opportunities that influences the growth of the global market. The Global AI Governance Market report introduced the market through several factors such as classifications, definitions, market overview, product specifications, cost structures, manufacturing processes, raw materials, and applications. Moreover, the study offers a complete analysis of the market size, segmentation, and market share.
Market segment by Type, the product can be split into
Software
Service
Other
Market segment by Application, split into
BFSI
Healthcare and Life Sciences
Government and Defense
Retail and Car
Access Complete Report @ https://www.orbismarketreports.com/global-ai-governance-market-growth-analysis-by-trends-and-forecast-2019-2025utm_source=Pooja
Report of the Global AI Governance Market efficiently offers acquisitions investments, and new dealers worried in examining the respected Global AI Governance Market facilities for research and the needed characteristics of the Global AI Governance Market for the individuals and businesses looking for the business for mergers. Leading players of the Global AI Governance Market are focusing on new developments and advancements with the support of collaborations and partnerships to promote their business and Global AI Governance industry both.
The data offered in this report is gathered based on the latest industry news, trends, as well as opportunities. This study offers a separate analysis of the major trends in the existing market, mandates and regulations, micro & macroeconomic indicators is also comprised in this report. It also includes the major market conditions across the globe such as the product profit, price, production, capacity, demand, supply, as well as market growth structure. In addition, this report offers significant data through the SWOT analysis, investment return data, and investment feasibility analysis. By doing so, the study estimated the attractiveness of every major segment during the prediction period.
Some Major TOC Points:
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
…
Continued
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Global AI Governance Market Expected to reach highest CAGR by 2025 strategy of the industry players: IBM, Google, Facebook, AWS, Microsoft, etc.
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Global AI Governance Market Expected reach highest CAGR 2025 strategy industry players: IBM, Google, Facebook, AWS, Microsoft, etc. Skyline Gazette Skip content Friday, May 8, 2020 About Us Skyline Gazette SkyLine Reports Research Analysis Forecast Industry Research Market Report Business Opportunity Emerging Trends Growth Prospects All News You hereHome2020May7Global AI Governance Market Expected reach highest CAGR 2025 strategy industry players: IBM, Google, Facebook, AWS, Microsoft, etc. Market Report Global AI Governance Market Expected reach highest CAGR 2025 strategy industry players: IBM, Google, Facebook, AWS, Microsoft, etc. May 7, 2020 Anita The AI Governance Market study major compilation significant information respect competitor details market. Likewise, information inclusive regions Global AI Governance Market successfully gained position. Report Global AI Governance Market prepared conducting comprehensive research systematized methodology. These skills useful scrutinizing market terms outlined research guidelines. Mainly, research report covers information target audience, manufactures, vendors, research papers, products more. A research report Global AI Governance Market offers detailed analysis market share, size, trends, growth prospects. In addition, report contains market volume accurate estimation offered report. They deliver range marketing industry research results mainly targeted individuals looking forward invest market. This study covers following key players: IBM Google Facebook AWS Microsoft SAP FICO 2021.AI ZestFinance SAS Institute Pymetrics H2O.AI integrate.ai Request sample report @ The Global AI Governance Market study sheds light highly lucrative market opportunities influences growth global market. The Global AI Governance Market report introduced market factors classifications, definitions, market overview, product specifications, cost structures, manufacturing processes, raw materials, applications. Moreover, study offers complete analysis market size, segmentation, market share. Market segment Type, product split Software Service Other Market segment Application, split BFSI Healthcare Life Sciences Government Defense Retail Car Access Complete Report @ Report Global AI Governance Market efficiently offers acquisitions investments, new dealers worried examining respected Global AI Governance Market facilities research needed characteristics Global AI Governance Market individuals businesses looking business mergers. Leading players Global AI Governance Market focusing new developments advancements support collaborations partnerships promote business Global AI Governance industry both. The data offered report gathered based latest industry news, trends, opportunities. This study offers separate analysis major trends existing market, mandates regulations, micro macroeconomic indicators comprised report. It includes major market conditions globe product profit, price, production, capacity, demand, supply, market growth structure. In addition, report offers significant data SWOT analysis, investment return data, investment feasibility analysis. By so, study estimated attractiveness major segment prediction period. Some Major TOC Points: 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application Continued For Enquiry buying report @ : With unfailing market gauging skills, excelling curating tailored business intelligence data industry verticals. Constantly thriving expand skill development, strength lies dedicated intellectuals dynamic problem solving intent, willing mold boundaries scale heights market interpretation. 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 Post navigation Transdermal Drug Delivery Systems Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026Veterinary Dental Equipment Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Related posts All NewsMarket Report Global Static Orthotics Market Advancements 2019 Hanger Clinic, Essex Orthopaedics, DJO Global, Medi May 8, 2020 davidGlobal Static Orthotics Market 2019, Global Static Orthotics Market Analysis, Global Static Orthotics Market Growth, Global Static Orthotics Market Size, Global Static Orthotics Market Trends, Static Orthotics Market Magnifier Research recently finished research study published Global Static Orthotics Market 2019 by... 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https://skyline-gazette.com/2020/05/08/artificial-intelligence-in-cyber-security-market-2020-growth-analysis-opportunities-trends-developments-and-forecast-to-2026/
| 2020-05-08T00:00:00 |
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Artificial Intelligence in Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments and Forecast to 2026 – Skyline Gazette
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Artificial Intelligence in Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments and Forecast to 2026 – Skyline Gazette
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You are hereHome2020May8Artificial Intelligence in Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments and Forecast to 2026
Artificial Intelligence in Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments and Forecast to 2026
May 8, 2020 Navanath R Artificial Intelligence in Cyber Security Market, Artificial Intelligence in Cyber Security Market Analysis, Artificial Intelligence in Cyber Security Market Forecast, Artificial Intelligence in Cyber Security Market Growth, Artificial Intelligence in Cyber Security Market Size, Artificial Intelligence in Cyber Security Market Trends
New Jersey, United States: The Artificial Intelligence in Cyber Security Market is the subject of extensive research and analysis in the report to help market participants improve their business tactics and ensure their long-term success. The report’s authors used easy-to-understand language and simple statistical images, but provided detailed information and data on the market for Artificial Intelligence in Cyber Security. The report provides players with useful information and suggests result-oriented ideas to gain a competitive advantage in the Artificial Intelligence in Cyber Security market. It shows how different players in the market are competing for Artificial Intelligence in Cyber Security and discusses the strategies by which they differ from other participants.
Global Artificial Intelligence in Cyber Security Market was valued at USD 4.89 Billion in 2018 and is projected to reach USD 40.61 Billion by 2026, growing at a CAGR of 30.12 % from 2019 to 2026.
In the report, the researchers provided a quantitative and qualitative analysis and an assessment of the opportunities in absolute dollars. The report also offers a Porters Five Forces analysis and a PESTLE analysis for more detailed comparisons and other important studies. Each section of the report offers players something valuable to improve their gross margin, sales and marketing strategy, and profit margins. By using the report as a tool for achieving an insightful market analysis, stakeholders can identify critical changes in their business and improve their business approach. They will also be able to compete with other players in the Artificial Intelligence in Cyber Security market while identifying key growth pockets.
Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=29887&utm_source=SGN&utm_medium=007
The main players featured in the Artificial Intelligence in Cyber Security market report are:
Micron Technology
Intel Corporation
Xilinx
IBM Corporation
Amazon Web Services
Samsung Electronics Co. Ltd.
NVIDIA Corporation
Darktrace
Cylance Inc and Vectra AI
Each company evaluated in the report is examined based on various factors such as product and application portfolios, market share, growth potential, future plans and recent developments. Readers gain a comprehensive understanding and knowledge of the competitive landscape. More importantly, the report highlights the strategies that key players are using to maintain their dominance in the Artificial Intelligence in Cyber Security. It shows how competition in the market will change in the next few years and how players are preparing to be one step ahead.
Artificial Intelligence in Cyber Security Market by Regional Segments:
The chapter on regional segmentation describes the regional aspects of the Artificial Intelligence in Cyber Security market. This chapter explains the regulatory framework that is expected to affect the entire market. It illuminates the political scenario of the market and anticipates its impact on the market for Artificial Intelligence in Cyber Security.
Middle East and Africa (GCC countries and Egypt)
North America (USA, Mexico and Canada)
South America (Brazil, etc.)
Europe (Turkey, Germany, Russia, United Kingdom, Italy, France, etc.)
Asia Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia and Australia)
Analysts who have authored the report have segmented the market for Artificial Intelligence in Cyber Security by product, application and region. All segments are the subject of extensive research, with a focus on CAGR, market size, growth potential, market share and other important factors. The segment study provided in the report will help players focus on the lucrative areas of the Artificial Intelligence in Cyber Security market. The regional analysis will help the actors to strengthen their position in the most important regional markets. It shows unused growth opportunities in regional markets and how they can be used in the forecast period.
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Highlights of TOC:
Overview: In addition to an overview of the Artificial Intelligence in Cyber Security market, this section provides an overview of the report to give an idea of the type and content of the study.
Market dynamics: Here the authors of the report discussed in detail the main drivers, restrictions, challenges, trends and opportunities in the market for Artificial Intelligence in Cyber Security.
Product Segments: This part of the report shows the growth of the market for various types of products sold by the largest companies.
Application segments: The analysts who have authored the report have thoroughly evaluated the market potential of the key applications and identified the future opportunities they should create in the Artificial Intelligence in Cyber Security.
Geographic Segments: Each regional market is carefully examined to understand its current and future growth scenarios.
Company Profiles: The top players in the Artificial Intelligence in Cyber Security market are detailed in the report based on their market share, served market, products, applications, regional growth and other factors.
The report also includes specific sections on production and consumption analysis, key results, key suggestions and recommendations, and other issues. Overall, it offers a complete analysis and research study of the Artificial Intelligence in Cyber Security market to help players ensure strong growth in the coming years.
Complete Report is Available @ https://www.verifiedmarketresearch.com/product/Artificial-Intelligence-in-Cyber-Security-Market/?utm_source=SGN&utm_medium=007
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Artificial Intelligence in Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments and Forecast to 2026
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Artificial Intelligence Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Skyline Gazette Skip content Friday, May 8, 2020 About Us Skyline Gazette SkyLine Reports Research Analysis Forecast Industry Research Market Report Business Opportunity Emerging Trends Growth Prospects All News You hereHome2020May8Artificial Intelligence Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Artificial Intelligence Cyber Security Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 May 8, 2020 Navanath R Artificial Intelligence Cyber Security Market, Artificial Intelligence Cyber Security Market Analysis, Artificial Intelligence Cyber Security Market Forecast, Artificial Intelligence Cyber Security Market Growth, Artificial Intelligence Cyber Security Market Size, Artificial Intelligence Cyber Security Market Trends New Jersey,United States:The Artificial Intelligence Cyber Security Market subject extensive research analysis report help market participants improve business tactics ensure longterm success. The reports authors easytounderstand language simple statistical images, provided detailed information data market Artificial Intelligence Cyber Security. The report provides players useful information suggests resultoriented ideas gain competitive advantage Artificial Intelligence Cyber Security market. It shows different players market competing Artificial Intelligence Cyber Security discusses strategies differ participants. Global Artificial Intelligence Cyber Security Market valued USD 4.89 Billion 2018 projected reach USD 40.61 Billion 2026, growing CAGR 30.12 2019 2026. In report, researchers provided quantitative qualitative analysis assessment opportunities absolute dollars. The report offers Porters Five Forces analysis PESTLE analysis detailed comparisons important studies. Each section report offers players valuable improve gross margin, sales marketing strategy, profit margins. By report tool achieving insightful market analysis, stakeholders identify critical changes business improve business approach. They able compete players Artificial Intelligence Cyber Security market identifying key growth pockets. Get Download Sample Copy @ The main players featured Artificial Intelligence Cyber Security market report are: Micron Technology Intel Corporation Xilinx IBM Corporation Amazon Web Services Samsung Electronics Co. Ltd. NVIDIA Corporation Darktrace Cylance Vectra AI Each company evaluated report examined based factors product application portfolios, market share, growth potential, future plans recent developments. Readers gain comprehensive understanding knowledge competitive landscape. More importantly, report highlights strategies key players maintain dominance Artificial Intelligence Cyber Security. It shows competition market change years players preparing step ahead. Artificial Intelligence Cyber Security Market Regional Segments: The chapter regional segmentation describes regional aspects Artificial Intelligence Cyber Security market. This chapter explains regulatory framework expected affect entire market. It illuminates political scenario market anticipates impact market Artificial Intelligence Cyber Security. Middle East Africa GCC countries Egypt North America USA, Mexico Canada South America Brazil, etc. Europe Turkey, Germany, Russia, United Kingdom, Italy, France, etc. Asia Pacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia Australia Analysts authored report segmented market Artificial Intelligence Cyber Security product, application region. All segments subject extensive research, focus CAGR, market size, growth potential, market share important factors. The segment study provided report help players focus lucrative areas Artificial Intelligence Cyber Security market. The regional analysis help actors strengthen position important regional markets. It shows unused growth opportunities regional markets forecast period. Ask Discount @ Highlights TOC: Overview: In addition overview Artificial Intelligence Cyber Security market, section provides overview report idea type content study. Market dynamics: Here authors report discussed main drivers, restrictions, challenges, trends opportunities market Artificial Intelligence Cyber Security. Product Segments: This report shows growth market types products sold largest companies. Application segments: The analysts authored report thoroughly evaluated market potential key applications identified future opportunities create Artificial Intelligence Cyber Security. Geographic Segments: Each regional market carefully examined understand current future growth scenarios. Company Profiles: The players Artificial Intelligence Cyber Security market detailed report based market share, served market, products, applications, regional growth factors. The report includes specific sections production consumption analysis, key results, key suggestions recommendations, issues. Overall, offers complete analysis research study Artificial Intelligence Cyber Security market help players ensure strong growth coming years. Complete Report Available @ About us: Verified market research partners customer offer insight strategic growth analyzes; Data necessary achieve corporate goals objectives. Our core values trust, integrity authenticity customers. Analysts high level expertise data collection governance use industrial techniques collect analyze data phases. Our analysts trained combine modern data collection techniques, superior research methodology, expertise years collective experience produce informative accurate research reports. us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] Tags: Artificial Intelligence Cyber Security Market Size, Artificial Intelligence Cyber Security Market Trends, Artificial Intelligence Cyber Security Market Forecast, Artificial Intelligence Cyber Security Market Growth, Artificial Intelligence Cyber Security Market Analysis Our Trending Reports Full Body Harness Market Size, Growth Analysis, Opportunities, Business Outlook Forecast 2026 Post navigation 3D Printing Automotive Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026Global Scenario: Medical Document Management System Market 2020 Key Vendors: Panasonic, Envision Aesc, LG Chemical, BYD, Lithium Energy Japan, etc. Related posts AsiaPacific Specialty Chemicals Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 May 8, 2020 Navanath RAsiaPacific Specialty Chemicals Market, AsiaPacific Specialty Chemicals Market Analysis, AsiaPacific Specialty Chemicals Market Forecast, AsiaPacific Specialty Chemicals Market Growth, AsiaPacific Specialty Chemicals Market Size, AsiaPacific Specialty Chemicals Market Trends New Jersey,United States:The AsiaPacific Specialty Chemicals Market subject extensive research analysis in... 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Recent Posts AsiaPacific Specialty Chemicals Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Cell Culture Media Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Global Qualitative Respirator Fit Testing Market Advancements 2019 3M, TSI, MoldexMetric, Honeywell, MSA AsiaPacific Construction Chemicals Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 Argon Market 2020 Growth Analysis, Opportunities, Trends, Developments Forecast 2026 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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] | 1 | 3,137 |
https://sputnikglobe.com/20230918/us-committing-15mln-to-help-governments-use-ai-to-achieve-development-goals-1113474068.html
| 2023-09-18T00:00:00 |
en
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US Committing $15Mln to Help Governments Use AI to Achieve Development Goals
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US Committing $15Mln to Help Governments Use AI to Achieve Development Goals
InternationalAmericasSputnik brings you all the latest breaking stories, expert analysis and videos from North and South America.https://sputnikglobe.com/20230918/us-committing-15mln-to-help-governments-use-ai-to-achieve-development-goals-1113474068.htmlUS Committing $15Mln to Help Governments Use AI to Achieve Development GoalsUS Committing $15Mln to Help Governments Use AI to Achieve Development GoalsUS Secretary of State Antony Blinken said on Monday that the United States is committing $15 million to enable governments to use artificial intelligence (AI) technology to achieve the UN’s Sustainable Development Goals.2023-09-18T18:22+00002023-09-18T18:22+00002023-09-18T18:23+0000antony blinkenartificial intelligence (ai)ai raceamericasus/html/head/meta[@name='og:title']/@content/html/head/meta[@name='og:description']/@contenthttps://cdn1.img.sputnikglobe.com/img/07e6/0a/1c/1102795242_0:0:3071:1728_1920x0_80_0_0_94fb8ef98a373ace7786933da6f31080.jpg"Today I’m also pleased to announce a new $15 million commitment by the United States to help more governments leverage the power of AI to drive global good, focused specifically on Sustainable Development Goals," Blinken stated at an event on AI progress. The Sustainable Development Goals, created as part of the UN’s 2030 Agenda, include eliminating hunger, providing education and reducing inequalities around the world. The global community must gather a wide range of entities, including developing countries, to discuss the risks and benefits of AI, Blinken said. Despite the risks associated with AI, it also provides "almost endless" opportunities, Blinken added.https://sputnikglobe.com/20230830/us-plan-to-flood-pacific-with-ai-driven-drones-risks-uncontrollable-escalation-with-china-1112995388.htmlamericasSputnik International [email protected]+74956456601MIA „Rosiya Segodnya“ 252602023Sputnik International [email protected]+74956456601MIA „Rosiya Segodnya“ 25260Newsen_ENSputnik International [email protected]+74956456601MIA „Rosiya Segodnya“ 2526019201080true19201440truehttps://cdn1.img.sputnikglobe.com/img/07e6/0a/1c/1102795242_80:0:2809:2047_1920x0_80_0_0_1851f762634fb5d962b1dcca611091fc.jpg19201920trueSputnik International [email protected]+74956456601MIA „Rosiya Segodnya“ 25260Sputnik Internationalai threat, artificial intelligence, ai power, ai control, ai development, ai capabilities, ai technology, ai powered weapon systems, artificial intelligence weapons, ai in warfare, ai progress, ai threat, sustainable development goalsai threat, artificial intelligence, ai power, ai control, ai development, ai capabilities, ai technology, ai powered weapon systems, artificial intelligence weapons, ai in warfare, ai progress, ai threat, sustainable development goalsUS Committing $15Mln to Help Governments Use AI to Achieve Development Goals18:22 GMT 18.09.2023 (Updated: 18:23 GMT 18.09.2023)© AP Photo / Blair GableSecretary of State Antony Blinken speaks during a news conference with Canada's Foreign Minister Melanie Joly on Thursday, Oct. 27, 2022 in Ottawa, Ontario, Canada.© AP Photo / Blair GableSubscribeInternationalIndiaAfricaWASHINGTON (Sputnik) - US Secretary of State Antony Blinken said on Monday that the United States is committing $15 million to enable governments to use artificial intelligence (AI) technology to achieve the UN’s Sustainable Development Goals. "Today I’m also pleased to announce a new $15 million commitment by the United States to help more governments leverage the power of AI to drive global good, focused specifically on Sustainable Development Goals," Blinken stated at an event on AI progress. The Sustainable Development Goals, created as part of the UN’s 2030 Agenda, include eliminating hunger, providing education and reducing inequalities around the world. The global community must gather a wide range of entities, including developing countries, to discuss the risks and benefits of AI, Blinken said. AnalysisUS Plan to Flood Pacific With AI-Driven Drones Risks Uncontrollable Escalation With China30 August, 18:06 GMTDespite the risks associated with AI, it also provides "almost endless" opportunities, Blinken added.AmericasAntony BlinkenArtificial Intelligence (AI)AI raceUS
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US Committing $15Mln to Help Governments Use AI to Achieve Development Goals
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US Committing 15Mln Help Governments Use AI Achieve Development Goals InternationalAmericasSputnik brings latest breaking stories, expert analysis videos North South America. Committing 15Mln Help Governments Use AI Achieve Development GoalsUS Committing 15Mln Help Governments Use AI Achieve Development GoalsUS Secretary State Antony Blinken said Monday United States committing 15 million enable governments use artificial intelligence AI technology achieve UNs Sustainable Development Goals.20230918T18:22000020230918T18:22000020230918T18:230000antony blinkenartificial intelligence aiai raceamericasushtmlheadmeta[ Im pleased announce new 15 million commitment United States help governments leverage power AI drive global good, focused specifically Sustainable Development Goals, Blinken stated event AI progress. The Sustainable Development Goals, created UNs 2030 Agenda, include eliminating hunger, providing education reducing inequalities world. The global community gather wide range entities, including developing countries, discuss risks benefits AI, Blinken said. Despite risks associated AI, provides endless opportunities, Blinken added. International feedback Rosiya Segodnya 252602023Sputnik International feedback Rosiya Segodnya 25260Newsen_ENSputnik International feedback Rosiya Segodnya 2526019201080true19201440true International feedback Rosiya Segodnya 25260Sputnik Internationalai threat, artificial intelligence, ai power, ai control, ai development, ai capabilities, ai technology, ai powered weapon systems, artificial intelligence weapons, ai warfare, ai progress, ai threat, sustainable development goalsai threat, artificial intelligence, ai power, ai control, ai development, ai capabilities, ai technology, ai powered weapon systems, artificial intelligence weapons, ai warfare, ai progress, ai threat, sustainable development goalsUS Committing 15Mln Help Governments Use AI Achieve Development Goals18:22 GMT 18.09.2023 Updated: 18:23 GMT 18.09.2023 AP Photo Blair GableSecretary State Antony Blinken speaks news conference Canadas Foreign Minister Melanie Joly Thursday, Oct. 27, 2022 Ottawa, Ontario, Canada. AP Photo Blair GableInternationalIndiaAfricaWASHINGTON Sputnik US Secretary State Antony Blinken said Monday United States committing 15 million enable governments use artificial intelligence AI technology achieve UNs Sustainable Development Goals. Today Im pleased announce new 15 million commitment United States help governments leverage power AI drive global good, focused specifically Sustainable Development Goals, Blinken stated event AI progress. The Sustainable Development Goals, created UNs 2030 Agenda, include eliminating hunger, providing education reducing inequalities world. The global community gather wide range entities, including developing countries, discuss risks benefits AI, Blinken said. AnalysisUS Plan Flood Pacific With AIDriven Drones Risks Uncontrollable Escalation With China30 August, 18:06 GMTDespite risks associated AI, provides endless opportunities, Blinken added.AmericasAntony BlinkenArtificial Intelligence AIAI raceUS InternationalWorldAmericasRussiaEconomyMilitaryScience TechMultimediaTelegramTwitterOdyseeTelegram IndiaGabTelegram AfricaKooikkThreadsPress InfoTerms Use Us Policy Privacy Feedback Tracking preferences 2023 Sputnik. . 18 Newsfeed0 Access chat blocked violating rules . You able participate through:. If agree blocking, use feedback form The discussion closed. You participate discussion 24 hours publication article. To participate discussion log register loaderChats
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Business
Investors must realise AI does not replace human judgment
By Nompilo Zulu
6th Aug 2023
Artificial Intelligence. PICTURE: PEXELS PHOTOS
In the ever-evolving landscape of finance and investment, artificial intelligence (AI) has emerged as a powerful tool that can potentially revolutionise the way investors access information and make decisions.
However, financial experts caution against viewing AI as a magic solution to boost portfolio performance. Nico Katzke, head of portfolio solutions at Satrix, emphasises that the real value of AI lies in its ability to educate rather than provide direct financial advice.
“At its core, artificial intelligence is just an incredibly efficient collation of information,” said Katzke. “If you ask it to guide your investment decisions, it’ll give you convincing responses that feel so intuitively human. We trust them more than we should. The problem is you need to know what questions to ask and how to interrogate the answers. That’s where a human financial adviser can play a pivotal role.”
AI can provide investors with valuable insights, such as everything they need to know about a company in mere seconds, aiding in portfolio research, understanding investment vehicles, and grasping financial market dynamics. It serves as an educational tool, empowering investors to deepen their knowledge and market understanding.
Katzke emphasises that while AI can enhance investors’ knowledge, it cannot replace the experience and expertise of a human financial adviser. He indicated that AI is not a crystal ball, and its potential is best harnessed when used in conjunction with human judgment.
It can guide investors to become better informed but the decision-making process must still involve human intelligence.
One potential application of AI in the investment landscape is in diversification.
Katzke envisions a future where AI evaluates a person’s entire portfolio to suggest ways to diversify across different sources of risk. Although this idea is still in its early stages, it showcases the potential AI holds in optimising portfolio management.
AI has the potential to democratise investing, making it more accessible to a broader range of people. With market prices instantaneously reflecting all available information, the playing field becomes more level. This price efficiency could lower cost barriers and lead more investors to consider indexation as active managers face increasing pricing pressure.
However, Katzke advises against falling into the trap of AI hype. “We need to treat open AI for what it is – a great way to source information quickly,” he cautions. “Don’t be fooled into thinking it’s human or a genie that can predict top sources of return.”
Tips for Investors:
• Understand AI’s role: Acknowledge that AI is a valuable educational tool, not a replacement for human judgment.
• Diversify your sources of information: Do not rely solely on AI for data. Use multiple sources to validate and cross-check the information AI provides.
• Consult with a human financial adviser: Seek guidance from a professional who can interpret AI-generated insights and tailor them to your specific financial situation and goals.
• Be cautious of AI hype: avoid making impulsive decisions based solely on AI predictions.
• Stay informed about market trends: continuously educate yourself about financial markets and
investment strategies to stay ahead of the curve.
Follow @SundayWorldZA on Twitter and @sundayworldza on Instagram, or like our Facebook Page, Sunday World, by clicking here for the latest breaking news in South Africa.
Nompilo Zulu
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Tagsactive managersAIAI hypeAI-generated insightsArtificial IntelligenceBusiness newscollation of informationdemocratise investingdiversificationeducational toolFinancefinancial advicefinancial market dynamicsfinancial situationhead of portfolio solutionshuman financial adviserhuman judgmentindexationinvestmentinvestment decisions.investment strategiesInvestorsmarket pricesmarket trendsmultiple sources of informationNico Katzkeoptimising portfolio management
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Investors must realise AI does not replace human judgment
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Get help Create account Terms conditions Subscriptions Create account Welcome account email username A password emailed you. Terms conditions Subscriptions Password recovery Recover password email A password emailed you. Business Investors realise AI replace human judgment By Nompilo Zulu 6th Aug 2023 Artificial Intelligence. PICTURE: PEXELS PHOTOS In everevolving landscape finance investment, artificial intelligence AI emerged powerful tool potentially revolutionise way investors access information decisions. However, financial experts caution viewing AI magic solution boost portfolio performance. Nico Katzke, head portfolio solutions Satrix, emphasises real value AI lies ability educate provide direct financial advice. At core, artificial intelligence incredibly efficient collation information, said Katzke. If ask guide investment decisions, itll convincing responses feel intuitively human. We trust should. The problem need know questions ask interrogate answers. Thats human financial adviser play pivotal role. AI provide investors valuable insights, need know company mere seconds, aiding portfolio research, understanding investment vehicles, grasping financial market dynamics. It serves educational tool, empowering investors deepen knowledge market understanding. Katzke emphasises AI enhance investors knowledge, replace experience expertise human financial adviser. He indicated AI crystal ball, potential best harnessed conjunction human judgment. It guide investors better informed decisionmaking process involve human intelligence. One potential application AI investment landscape diversification. Katzke envisions future AI evaluates persons entire portfolio suggest ways diversify different sources risk. Although idea early stages, showcases potential AI holds optimising portfolio management. AI potential democratise investing, making accessible broader range people. With market prices instantaneously reflecting available information, playing field level. This price efficiency lower cost barriers lead investors consider indexation active managers face increasing pricing pressure. However, Katzke advises falling trap AI hype. We need treat open AI great way source information quickly, cautions. Dont fooled thinking human genie predict sources return. Tips Investors: Understand AIs role: Acknowledge AI valuable educational tool, replacement human judgment. Diversify sources information: Do rely solely AI data. Use multiple sources validate crosscheck information AI provides. Consult human financial adviser: Seek guidance professional interpret AIgenerated insights tailor specific financial situation goals. Be cautious AI hype: avoid making impulsive decisions based solely AI predictions. Stay informed market trends: continuously educate financial markets investment strategies stay ahead curve. Follow Twitter Instagram, like Facebook Page,Sunday World, clicking herefor latest breaking news South Africa. Nompilo Zulu Related Articles Share FacebookTwitterPinterestWhatsAppLinkedinReddItEmailPrintTelegramCopy URL Tagsactive managersAIAI hypeAIgenerated insightsArtificial IntelligenceBusiness newscollation informationdemocratise investingdiversificationeducational toolFinancefinancial advicefinancial market dynamicsfinancial situationhead portfolio solutionshuman financial adviserhuman judgmentindexationinvestmentinvestment decisions.investment strategiesInvestorsmarket pricesmarket trendsmultiple sources informationNico Katzkeoptimising portfolio management
| 2,023 |
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] | 1 | 3,139 |
https://syncedreview.com/2020/07/23/u-of-florida-receives-us-50-million-from-nvidia-to-build-a-700-petaflops-ai-supercomputer/
| 2020-07-23T00:00:00 |
en
|
U of Florida Receives Us $50 Million From Nvidia to Build a 700-Petaflops AI Supercomputer | Synced
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U of Florida Receives Us $50 Million From Nvidia to Build a 700-Petaflops AI Supercomputer | Synced
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U of Florida Receives Us $50 Million From Nvidia to Build a 700-Petaflops AI Supercomputer
The University of Florida (UF) and Nvidia University announced on Tuesday the plan to build the world's fastest AI supercomputer in academia, providing 700 petaflops of AI performance.
by Synced2020-07-23
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The University of Florida (UF) and Nvidia University announced on Tuesday the plan to build the world’s fastest AI supercomputer in academia, providing 700 petaflops of AI performance. UF alumni and Nvidia co-founder Chris Malachowsky is providing US $25 million for the project, whereby Nvidia has promised another $25 million in hardware, software, training, and services. UF had worked closely with Nvidia to enhance the capabilities of its existing supercomputer HiPerGator, through the recently announced Nvidia DGX SuperPOD architecture. The system will be operating in early 2021. UF faculty and staff will have the tools to apply AI in multiple fields, such as dealing with major challenges like rising sea levels, population aging, data security, personalized medicine, urban transportation, and food insecurity. UF expects to educate 30,000 AI-supporting graduates by 2030.Source: https://blogs.nvidia.com/blog/2020/07/21/university-of-florida-nvidia-ai-supercomputer/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+nvidiablog+%28The+NVIDIA+Blog%29
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U of Florida Receives Us $50 Million From Nvidia to Build a 700-Petaflops AI Supercomputer
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U Florida Receives Us 50 Million From Nvidia Build 700Petaflops AI Supercomputer Synced Synced AI Technology Industry Review Menu FB Ins Linkedin Jiqizhixin Feature United States China Canada Japan Switzerland Australia Industry AI Globalization AI BiWeekly Interview Conference Emerging Company Chinese AI Talent US Technology Community GMIS 2017 Event Us Career Report Contribute Synced Review for: Menu Synced FB Ins Linkedin Jiqizhixin Close for: FB Ins Linkedin Jiqizhixin Feature United States China Canada Japan Switzerland Australia Industry AI Globalization AI BiWeekly Interview Conference Emerging Company Chinese AI Talent US Technology Community GMIS 2017 Event Us Career Report Contribute Synced Review News Technology U Florida Receives Us 50 Million From Nvidia Build 700Petaflops AI Supercomputer The University Florida UF Nvidia University announced Tuesday plan build worlds fastest AI supercomputer academia, providing 700 petaflops AI performance. Synced20200723 Comments 0 The University Florida UF Nvidia University announced Tuesday plan build worlds fastest AI supercomputer academia, providing 700 petaflops AI performance. UF alumni Nvidia cofounder Chris Malachowsky providing US 25 million project, Nvidia promised 25 million hardware, software, training, services. UF worked closely Nvidia enhance capabilities existing supercomputer HiPerGator, recently announced Nvidia DGX SuperPOD architecture. The operating early 2021. UF faculty staff tools apply AI multiple fields, dealing major challenges like rising sea levels, population aging, data security, personalized medicine, urban transportation, food insecurity. UF expects educate 30,000 AIsupporting graduates 2030.Source: We know dont want miss story. popularSynced Global AI Weeklyto weekly AI updates. Advertisements Share this:TwitterFacebookLike this:Like Loading... TagsNVIDIA supercomputer Tech News University Florida About Synced Machine Intelligence Technology Industry Information Analysis 0 comments U Florida Receives Us 50 Million From Nvidia Build 700Petaflops AI Supercomputer Leave Reply Cancel replyYour email address published.Comment Name Email Website Notify followup comments email. Notify new posts email. Post navigation Previous Post Next Post Follow TwitterMy Tweets Related Synced GLOBAL CENTER CANADA 56 Temperance St, 700 Toronto, ON M5H 3V5 MASSACHUSETTS OFFICE US One Broadway, 14th Floor, Cambridge, MA 02142 CALIFORNIA OFFICE US 75 E Santa Clara St, 6th Floor, San Jose, CA 95113 CONTACT Us @ global.general Visit Us @Synced China FB Ins Linkedin Jiqizhixin bloggers like this:
| 2,020 |
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https://tech.economictimes.indiatimes.com/news/technology/human-beings-are-unable-to-connect-with-artificial-intelligence-pranav-mistry/73560435
| 2020-01-24T00:00:00 |
en
|
Human beings are unable to connect with artificial intelligence: Pranav Mistry, Technology News, ETtech
|
Human beings are unable to connect with artificial intelligence: Pranav Mistry, Technology News, ETtech
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Technology »Star LabsSamsungPranav MistryNeonartificial intelligenceHuman beings are unable to connect with artificial intelligence: Pranav MistryThe Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. Surabhi Agarwal | ETtech | January 24, 2020, 07:01 IST
Neon, the artificial human prototype conceptualized by computer scientist and inventor Pranav Mistry, created waves recently. The President and CEO of Samsung's STAR Labs told ET in an exclusive interview that he created Neon because human beings are unable to connect with artificial intelligence (AI) assistants such as Apple’s Siri. The Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. The 38-year-old also spoke about the dangers posed by AI,echoing Google parent Alphabet Inc’s chief Sundar Pichai who recently called upon governments to regulate AI. Edited Excerpts: When you started thinking about Neon, what was the problem you were trying to solve? Two years ago, when we started thinking about it … (we wanted to) push the boundaries of science so that can the machine interfaces become just like humans. It solves a lot of problems and opens up a lot of opportunities that never existed before. A lot of businesses are coming to us (for Neon), from media companies, film and even the fashion industry. This is not an AI chatbot or an assistant — for that you have your phones. Neon is front-end — human interface to the machines. Say, for example, if ICICI Bank has domain-specific knowledge, (and) they need to talk to customers in a particular way (then) think about a powerful front-end interface that can connect to any third-party services for B2B applications. When it comes to consumer applications, in the long run, we need to build something that doesn't exist – someone who can have the human aspects, emotions... As a science, this thing never existed. Tomorrow, it might solve healthcare problems, or education problems or the loneliness problem in the United Kingdom. Initially, what could Neon be used for? I was talking to the chairman of a big media company in (South) Korea. They say the major problem is breaking news at night since you need to wake up the whole crew. We're not here to replace the main news anchor, but how about (if) your favourite news anchor is on your phone and tells you ‘hey, you missed yesterday's game’. This is what happened. That personal connection is more important. As a kid, I grew up with Mickey Mouse. These cartoon characters are not just in our movies, they are in our dreams. My daughter is sad when Princess Fiona is sad; the human connection is what keeps us attached as a human. And, that is the reason behind doing this. So, it's like a face to AI assistants like Alexa or Siri? Yes, AI doesn’t have a face right now.No technology has that interface. Even when our soldiers are in the field, somebody needs to talk to them. Are they mentally healthy? You can put a questionnaire to them --‘On a scale of 0-6 how are you feeling?’. That’s not the right interface in that situation. If someone could only to talk to them... An old person...has an AI system to give him all the answers at his home, but what he is looking for is someone to talk to. Because, that's where the loneliness problem is coming in. If you notice all these problems of loneliness or autism...they are coming from countries that already have everything -- every single piece of technology -- they can watch any movie, but they still feel lonely... because current technology is not solving that problem. Because there is no human face to the technology... and that is why I am doing this. Star Labs is an independent future factory. No one decides what Star Labs does. It is fully backed by Samsung, but Samsung does not ask a single question. Theoretical physicist and cosmologist, the late Stephen Hawking, had said that AI could be dangerous. Others, too, have echoed those thoughts. Are you concernedabout what you are building? Every technology, if you take even the smallest neon bulb right now, can be misused.Nuclear fusion is a threat to the world right now, but this is the same nuclear fusion thatdrives more than 50% of the world’s electricity. AI has its own problems, but why I feel even more comfortable about this is because if I don't do this thing right now, in two years’ time someone else will be talking about it... I feel comfortable because...I understand what the ethical standards of this thing should be, because I am imagining and dreaming a better world, not just a richer world for a few. So many of my products, ideas like Sixth Sense were open source; when I did Galaxy Gear, it was nothing to do with money. Follow and connect with us on Twitter, Facebook, LinkedinRELATED
Tags : Technology, Star Labs, Samsung, Pranav Mistry, Neon, artificial intelligence
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Human beings are unable to connect with artificial intelligence: Pranav Mistry, Technology News, ETtech
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Human beings unable connect artificial intelligence: Pranav Mistry, Technology News, ETtech Sign inSign NEWS SITES Retail News Auto News Health News Telecom News Energy News IT News Real Estate News Brand EquityCFO News IT Security News BFSI News Government News Javascript browser disabled. Please enable better performance ETtech. ETtech News Startups Funding Technology Digital Payments Corporate Govt Policy Mobile Apps Smartphones Internet Social Media Ecommerce People Brand Solutions Best Build Whats Next Tata Communications Vodafone Business Services Ecommerce Digital Payments Interviews Funding Smartphones NEA 2018 Govt policy Long Reads Social Media Apps More Technology NewsLatest Technology NewsTechnology Technology Star LabsSamsungPranav MistryNeonartificial intelligenceHuman beings unable connect artificial intelligence: Pranav MistryThe Palanpur Gujaratborn Mistry, considered best innovative minds world right now, said Neon companion elderly lonely work fashion models news anchors. Surabhi Agarwal ETtech January 24, 2020, 07:01 IST Neon, artificial human prototype conceptualized scientist inventor Pranav Mistry, created waves recently. The President CEO Samsungs STAR Labs told ET exclusive interview created Neon human beings unable connect artificial intelligence AI assistants Apples Siri. The Palanpur Gujaratborn Mistry, considered best innovative minds world right now, said Neon companion elderly lonely work fashion models news anchors. The 38yearold spoke dangers posed AI,echoing Google parent Alphabet chief Sundar Pichai recently called governments regulate AI. Edited Excerpts: When started thinking Neon, problem trying solve? Two years ago, started thinking wanted push boundaries science machine interfaces like humans. It solves lot problems opens lot opportunities existed before. A lot businesses coming Neon, media companies, film fashion industry. This AI chatbot assistant phones. Neon frontend human interface machines. Say, example, ICICI Bank domainspecific knowledge, need talk customers particular way think powerful frontend interface connect thirdparty services B2B applications. When comes consumer applications, long run, need build doesnt exist human aspects, emotions... As science, thing existed. Tomorrow, solve healthcare problems, education problems loneliness problem United Kingdom. Initially, Neon for? I talking chairman big media company South Korea. They major problem breaking news night need wake crew. Were replace main news anchor, favourite news anchor phone tells hey, missed yesterdays game. This happened. That personal connection important. As kid, I grew Mickey Mouse. These cartoon characters movies, dreams. My daughter sad Princess Fiona sad; human connection keeps attached human. And, reason this. So, like face AI assistants like Alexa Siri? Yes, AI doesnt face right now.No technology interface. Even soldiers field, somebody needs talk them. Are mentally healthy? You questionnaire On scale 06 feeling?. Thats right interface situation. If talk them... An old person...has AI answers home, looking talk to. Because, thats loneliness problem coming in. If notice problems loneliness autism...they coming countries single piece technology watch movie, feel lonely... current technology solving problem. Because human face technology... I this. Star Labs independent future factory. No decides Star Labs does. It fully backed Samsung, Samsung ask single question. Theoretical physicist cosmologist, late Stephen Hawking, said AI dangerous. Others, too, echoed thoughts. Are concernedabout building? Every technology, smallest neon bulb right now, misused.Nuclear fusion threat world right now, nuclear fusion thatdrives 50 worlds electricity. AI problems, I feel comfortable I dont thing right now, years time talking it... I feel comfortable because...I understand ethical standards thing be, I imagining dreaming better world, richer world few. So products, ideas like Sixth Sense open source; I Galaxy Gear, money. Follow connect Twitter, Facebook, LinkedinRELATED Tags : Technology, Star Labs, Samsung, Pranav Mistry, Neon, artificial intelligence Recommended ColombiaSponsored Stories Newsletters 160000 Industry Leaders read everyday Trending TechnologyAmazon add 10,000 electric vehicles delivery fleet 2025RBI says crypto banned, dont bank itHow Indias car market undergoing rapid tech changeData science roles lakh job openings yearGoogle CEO Sundar Pichai calls regulation artificial intelligence We updated terms conditions privacy policy Click Continue accept continue ETtech Accept updated privacy cookie policy Dear user, The privacy cookie policy updated align new data regulations European Union. Please review accept changes continue website.You privacy policy cookie list below. We use cookies ensure best experience website.If choose ignore message, assume happy receive cookies ETtech. 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] | 1 | 3,141 |
https://techaeris.com/2023/05/08/a-new-leak-claims-google-magi-ai-bot-could-be-integrated-into-search/
| 2023-05-08T00:00:00 |
en
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A new leak claims Google Magi AI bot could be integrated into search
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A new leak claims Google Magi AI bot could be integrated into search
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A new leak claims Google Magi AI bot could be integrated into search
Alex Hernandez | May 8, 2023May 8, 2023 Artificial Intelligence, Google, Tech
The tech industry and tech media have been hyperfocused on artificial intelligence (AI) since the release of ChatGPT. There has been buzz and reporting on the subject in the past, but it seems the intensity has snowballed. If Google Magi is a thing, we will see another increase in the hype.
Estimated reading time: 2 minutes
AI, in some form, has already been integrated into many things at many levels, but an AI bot like BardAI AI or ChatGPT is a leap forward from Siri or Alexa. We already know that Microsoft has integrated ChatGPT into its search engine; now, a new leak has surfaced published by The New York Times that claims Google will follow suit by integrating Google Magi into Google search.
None of this is official, and the name Magi may or may not be the official name for the AI search function within Google Search. TechRadar says, “This is based on internal documents leaked from inside Google, which also mention making search more “visual,” more “snackable,” and more “human” – so make of those buzzwords what you will. Most of these changes should be arriving this year.”
TechRadar says that Google Magi could be introduced at Google IO 2023 on Wednesday. This is an interesting development, as former Google engineer Blake Lemoine defended Google last week and claimed the company is being “safe and responsible” with its AI.
AI safety seems to be on the mind of many, with some more concerned than others. Tim Cook came out over the weekend and said Apple is being “deliberate and thoughtful” when asked about AI at the company. Elon Musk has come out and asked for a pause in the technology to be evaluated to ensure it’s safe for humans. One thing is for sure; this will be a wild ride.
What do you think of Google Magi and Bing’s AI bot? What do you think of AI in general? Please share your thoughts on any of the social media pages listed below. You can also comment on our MeWe page by joining the MeWe social network. And subscribe to our RUMBLE channel for more trailers and tech videos!
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Tags Bard AI, BardAI, ChatGPT, Google, Google IO, Google IO 2023, Google Magi, tech, technology
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A new leak claims Google Magi AI bot could be integrated into search
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A new leak claims Google Magi AI bot integrated search Skip content Menu Reviews Editors Choice Top Picks Hardware Reviews Audio Hardware Reviews Mobile Reviews Smart Home Smart Device Reviews Gaming Hardware Reviews Home Theater Reviews Fitness Health Reviews Wearables Reviews Furniture Reviews How To Editorials Tech Apple Google Microsoft Mobile Security Smart Home Smart Devices Home Theater Fitness Health Gaming Xbox PlayStation Nintendo Gaming Hardware PC Game Reviews Entertainment Movies Music TV ComicsBooks Pop Culture ComicBook Reviews TV Show Reviews Movie Reviews Music Reviews About Advertise With Us UsTips Disclaimer A new leak claims Google Magi AI bot integrated search Alex Hernandez May 8, 2023May 8, 2023 Artificial Intelligence, Google, Tech The tech industry tech media hyperfocused artificial intelligence AI release ChatGPT. There buzz reporting subject past, intensity snowballed. If Google Magi thing, increase hype. Estimated reading time: 2 minutes AI, form, integrated things levels, AI bot like BardAI AI ChatGPT leap forward Siri Alexa. We know Microsoft integrated ChatGPT search engine; now, new leak surfaced published The New York Times claims Google follow suit integrating Google Magi Google search. None official, Magi official AI search function Google . TechRadar says, This based internal documents leaked inside Google, mention making search visual, snackable, human buzzwords will. Most changes arriving year. TechRadar says Google Magi introduced Google IO 2023 Wednesday. This interesting development, Google engineer Blake Lemoine defended Google week claimed company safe responsible AI. AI safety mind many, concerned others. Tim Cook came weekend said Apple deliberate thoughtful asked AI company. Elon Musk come asked pause technology evaluated ensure safe humans. One thing sure; wild ride. What think Google Magi Bings AI bot? What think AI general? Please share thoughts social media listed below. You comment ourMeWe joining MeWe social network. And subscribe ourRUMBLE channelfor trailers tech videos MeWe Pinterest Twitter Reddit LinkedIn Facebook Messenger Facebook WhatsApp Blogger Pocket More Tags Bard AI, BardAI, ChatGPT, Google, Google IO, Google IO 2023, Google Magi, tech, technology Previous Infographic: How Israel global leader tech industry Latest Articles Infographic: How Israel global leader tech industry May 7, 2023May 7, 2023 Discord forcing pick new username May 6, 2023May 6, 2023 Crackle Brit Fix FREE month May 5, 2023May 5, 2023 Tim Cook weighs AI, saying deploying needs deliberate thoughtful May 5, 2023May 5, 2023 New Netflix May 511: Taking closer look Queen Cleopatra May 4, 2023May 4, 2023 Mischief Managed: How Canopy help parents Internet safer children May 3, 2023May 3, 2023 The 2023 Sony BRAVIA XR line gets pricing availability May 3, 2023May 3, 2023 Lights, Camera, Crackle: May 2023, catch whats new stream free May 2, 2023May 2, 2023 The 2023 motorola edge companys new 800 flagship May 2, 2023May 2, 2023 Latest Reviews Droyd Blipper Weeler review: Serious fun funloving kids May 1, 2023May 1, 2023 Samsung HWQ800C review: Wireless Dolby Atmos sound perfect large living rooms April 30, 2023May 2, 2023 Monster DNA Max review: A portable Bluetooth speaker wireless charging April 30, 2023April 30, 2023 Turtle Beach Stealth Pro review: Is New King Wireless? April 26, 2023April 27, 2023 Seagate FireCuda Lightsaber Collection review: Show allegiance aRGB NVMe SSD April 24, 2023April 24, 2023 Secure USB Cable review: This chargeonly cable helps prevent juice jacking April 23, 2023April 23, 2023 About Techaeris Techaeris founded 2013 Alex Hernandez EditorInChief Owner. Techaeris fast source technology news, reviews things geeknerd entertainment related. We cover movies, comics, books, gaming, tech, industry news clean place. Latest News A new leak claims Google Magi AI bot integrated searchMay 8, 2023 Infographic: How Israel global leader tech industryMay 7, 2023 Discord forcing pick new usernameMay 6, 2023 Crackle Brit Fix FREE monthMay 5, 2023 Tim Cook weighs AI, saying deploying needs deliberate thoughtfulMay 5, 2023 Popular Tags Amazon Android Apple Audio audio hardware auto Bluetooth Business business technology CES entertainment Facebook Forza Games gaming Google Headphones IOS iphone Kickstarter Laptop Lenovo Marvel Microsoft Mobile movies Movies TV music Netflix Netflix Canada Playstation 4 Privacy Razer Review Reviews Samsung Security Smartphone Sony tech technology TV Windows 10 Xbox Xbox One 20132023 MagnaAquila Media. . 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https://techcrunch.com/2020/09/24/ripjar-founded-by-gchq-alums-raises-36-8m-for-ai-that-detects-financial-crime/
| 2020-09-24T00:00:00 |
en
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Ripjar, founded by GCHQ alums, raises $36.8M for AI that detects financial crime – TechCrunch
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Ripjar, founded by GCHQ alums, raises $36.8M for AI that detects financial crime – TechCrunch
Ripjar, founded by GCHQ alums, raises $36.8M for AI that detects financial crime
Ingrid Lunden
@ingridlunden
/
8 hours
Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious actives as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth.
Ripjar, a UK company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the UK’s equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform — which it calls Labyrinth — and scaling the business.
Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.
Sources close to the company say that the funding values the startup in the region of £100 million, or about $127 million. Ripjar is currently profitable, the company confirmed.
The funding is being led by Long Ridge Equity Partners, a specialist fintech investor, with previous investors Winton Capital Ltd and Accenture plc also participating. Accenture is a strategic partner: the consultancy/systems integrator uses Ripjar’s tech to work with a number of clients in the financial services sector. Ripjar also has government clients, where its platform is used for counterterrorism work. It declines to disclose any specific names but it does note that its extensive partner list also includes the likes of PWC, BAE Systems, Dow Jones and more.
“We are excited to partner with Long Ridge who bring expertise and resources in scaling fast-growing software companies,” said Jeremy Annis, who is both the CEO and CTO of Ripjar and co-founded the company with Tom Griffin, Leigh Jones, Robert Biggs and Jeremy Laycock. “This investment signals enormous confidence in our world-leading data intelligence technology and ability to protect companies and governments from criminal behaviour which threatens their assets and prosperity. With this funding, we will accelerate the expansion of Ripjar worldwide to provide our customers with the most advanced financial crime solutions, as well as creating new iterations of the Labyrinth platform.”
The startup says that it’s had its biggest year yet — no surprise, given the circumstances. Not only has there been huge shift to online transactions in 2020 because of the rise of the Covid-19 global health pandemic; but a tightening of the world economy has led to more financial scrambling and new nefarious activity, as well as criminal acts to profit from the instability.
That’s led to inking deals with six new enterprise customers and expanding deals with four existing major clients, and Ripjar said that it now has some 20,000 clients globally.
And if you are curious about the name as I was, it’s if anything a meta reference to some of the kind of work that Ripjar does.
“It doesn’t mean anything,” a spokesperson said. “It was created using technology to ensure a name was selected that had never been used before.”
London, as one of the world’s financial centers, has developed a strong reputation for hatching and growing interesting fintech startups, and that has also meant the UK — which also has a strong talent base in artificial intelligence — has become very fertile ground also for startups building services to help protect those fintechs.
Ripjar’s raise, and rise, come within months of two other companies building AI to combat fraud and financial crime also raising money and growing. In July, ComplyAdvantage, which has also been building a database and platform to help combat financial crime, announced a $50 million raise. And a week before that, another UK company also building AI for financial and other cybercrime detection, Quantexa, raised $64.7 million.
Ripjar counts both of these, as well as bigger targets like Palantir, among its competitors. As is most likely, the big institutions that are grappling with financial crime are most likely using a several companies’ technology at the same time.
It claims to have the more sophisticated approach. “We believe that Labyrinth is the most advanced solution in the market as we’ve developed it after decades of first hand experience of fighting crime and terrorism within the national security community,” said David Balson, Director of Intelligence at Ripjar, in answer to my question about competitors. “There is no silver bullet in the fight against crime. As such, we’ve had to come up with hundreds of innovations to increase the efficiency and effectiveness of the vital work that goes on in the financial sector and law enforcement. This includes our world leading natural language processing (NLP) and identity resolution capabilities, which work over any global language and script, joining the dots automatically between structured data and unstructured text like documents, news reports, web pages and intelligence reports. It’s a vital tool to help analysts overcome the information overload that is so often associated with the sector.”
Indeed, the silver bullet reference applies to more than just Ripjar’s technology. With the issue of money laundering alone a $2 trillion problem (with only 1-2% of that ever identified and recovered), you can see why, at least for right now, banks, governments and others might be willing to put multiple resources on the problem to try to tackle it.
“Financial institutions, corporates and government agencies face ever-increasing risks associated with financial crime and cyber threats” said Kevin Bhatt, a Managing Partner at Long Ridge, in a statement. “We believe Ripjar is well-positioned to provide artificial intelligence solutions that will allow its clients to reduce the cost of compliance, while uncovering new threats through automation. We are incredibly excited to partner with Ripjar to support their continued growth and look forward to working closely with the Ripjar team as they expand to new geographies, customers, and verticals.”
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Ripjar, founded by GCHQ alums, raises $36.8M for AI that detects financial crime
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Ripjar, founded GCHQ alums, raises 36.8M AI detects financial crime TechCrunch Ripjar, founded GCHQ alums, raises 36.8M AI detects financial crime Ingrid Lunden 8 hours Financial crime wider category cybercrime continues potent online threats, covering nefarious actives diverse fraud, money laundering funding terrorism. Today, startups building data intelligence solutions help combat announcing fundraise continue fueling growth. Ripjar, UK company founded data scientists previously worked British intelligence Government Communications Headquarters GCHQ, UKs equivalent NSA, raised 36.8 million 28 million Series B, money plans use continue expanding scope AI platform calls Labyrinth scaling business. Labyrinth, Ripjar describes it, works structured unstructured data, natural language processing APIbased platform lets organizations incorporate data source like analyse monitor activity. It automatically real time checks data sources likesanctions lists, politically exposed persons PEPs lists transaction alerts. Sources close company funding values startup region 100 million, 127 million. Ripjar currently profitable, company confirmed. The funding led Long Ridge Equity Partners, specialist fintech investor, previous investors Winton Capital Ltd Accenture plc participating. Accenture strategic partner: consultancysystems integrator uses Ripjars tech work number clients financial services sector. Ripjar government clients, platform counterterrorism work. It declines disclose specific names note extensive partner list includes likes PWC, BAE Systems, Dow Jones more. We excited partner Long Ridge bring expertise resources scaling fastgrowing software companies, said Jeremy Annis, CEO CTO Ripjar cofounded company Tom Griffin, Leigh Jones, Robert Biggs Jeremy Laycock. This investment signals enormous confidence worldleading data intelligence technology ability protect companies governments criminal behaviour threatens assets prosperity. With funding, accelerate expansion Ripjar worldwide provide customers advanced financial crime solutions, creating new iterations Labyrinth platform. The startup says biggest year surprise, given circumstances. Not huge shift online transactions 2020 rise Covid19 global health pandemic; tightening world economy led financial scrambling new nefarious activity, criminal acts profit instability. Thats led inking deals new enterprise customers expanding deals existing major clients, Ripjar said 20,000 clients globally. And curious I was, meta reference kind work Ripjar does. It doesnt mean anything, spokesperson said. It created technology ensure selected before. London, worlds financial centers, developed strong reputation hatching growing interesting fintech startups, meant UK strong talent base artificial intelligence fertile ground startups building services help protect fintechs. Ripjars raise, rise, come months companies building AI combat fraud financial crime raising money growing. In July, ComplyAdvantage, building database platform help combat financial crime, announced 50 million raise. And week that, UK company building AI financial cybercrime detection, Quantexa, raised 64.7 million. Ripjar counts these, bigger targets like Palantir, competitors. As likely, big institutions grappling financial crime likely companies technology time. It claims sophisticated approach. We believe Labyrinth advanced solution market weve developed decades hand experience fighting crime terrorism national security community, said David Balson, Director Intelligence Ripjar, answer question competitors. There silver bullet fight crime. As such, weve come hundreds innovations increase efficiency effectiveness vital work goes financial sector law enforcement.This includes world leading natural language processing NLP identity resolution capabilities, work global language script, joining dots automatically structured data unstructured text like documents, news reports, web intelligence reports. Its vital tool help analysts overcome information overload associated sector. Indeed, silver bullet reference applies Ripjars technology. With issue money laundering 2 trillion problem 12 identified recovered, why, right now, banks, governments willing multiple resources problem try tackle it. Financial institutions, corporates government agencies face everincreasing risks associated financial crime cyber threats said Kevin Bhatt, Managing Partner Long Ridge, statement. We believe Ripjar wellpositioned provide artificial intelligence solutions allow clients reduce cost compliance, uncovering new threats automation. We incredibly excited partner Ripjar support continued growth look forward working closely Ripjar team expand new geographies, customers, verticals.
| 2,020 |
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https://techcrunch.com/2022/05/24/microsoft-brings-support-for-arm-based-ai-chips-to-windows/
| 2022-05-24T00:00:00 |
en
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Microsoft brings support for Arm-based AI chips to Windows – TechCrunch
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Microsoft brings support for Arm-based AI chips to Windows – TechCrunch
Microsoft brings support for Arm-based AI chips to Windows
Kyle Wiggers
7 hours
Today at Build 2022, Microsoft unveiled Project Volterra, a device powered by Qualcomm’s Snapdragon platform that’s designed to let developers explore “AI scenarios” via Qualcomm’s new Snapdragon Neural Processing Engine (SNPE) for Windows toolkit. The hardware arrives alongside support in Windows for neural processing units (NPUs), or dedicated chips tailored for AI- and machine learning-specific workloads.
Dedicated AI chips, which speed up AI processing while reducing the impact on battery, have become common in mobile devices like smartphones. But as apps like AI-powered image upscalers come into wider use, manufacturers have been adding such chips to their laptop lineups. M1 Macs feature Apple’s Neural Engine, for instance, and Microsoft’s Surface Pro X has the SQ1 (which was co-developed with Qualcomm). Intel at one point signaled it would offer an AI chip solution for Windows PCs, but — as the ecosystem of AI-powered Arm apps is well-established, thanks to iOS and Android — Project Volterra appears to be an attempt to tap it rather than reinvent the wheel.
It’s not the first time Microsoft has partnered with Qualcomm to launch AI developer hardware. In 2018, the companies jointly announced the Vision Intelligence Platform, which featured “fully integrated” support for computer vision algorithms running via Microsoft’s Azure ML and Azure IoT Edge services. Project Volterra offers evidence that, four years later, Microsoft and Qualcomm remain bedfellows in this arena, even after the reported expiration of Qualcomm’s exclusivity deal for Windows on Arm licenses.
“We believe in an open hardware ecosystem for Windows giving [developers] more flexibility and more options as well as the ability to support a wide range of scenarios,” Panos Panay, the chief product officer of Windows and devices at Microsoft, said in a blog post. “As such, we are always evolving the platform to support new and emerging hardware platforms and technologies.”
Microsoft’s Project Volterra hardware, which seeks to foster AI app development with Windows on Arm.
Arriving later this year, Microsoft says (somewhat hyperbolically) that Project Volterra will come with a neural processor that has “best-in-class” AI computing capacity and efficiency. The primary chip will be Arm-based, supplied by Qualcomm, and will enable developers to build and test Arm-native apps alongside tools including Visual Studio, VSCode, Microsoft Office, and Teams.
Project Volterra is the harbinger of an “end-to-end” developer toolchain for Arm-native apps from Microsoft, as it turns out, which will span the full Visual Studio 2022, VSCode, Visual C++, NET 6, Windows Terminal, Java, Windows Subsystem for Linux, and Windows Subsystem for Android (for running Android apps). Previews for each component will begin rolling out in the next few weeks, with additional open source projects that natively target Arm to come — including Python, node, git, LLVM, and more.
As for the SNPE for Windows, Panay said that it’ll allow developers to execute, debug, and analyze the performance of deep neural networks on Windows devices with Snapdragon hardware as well as integrate the networks into apps and other code. Complimenting the SNPE is the newly released Qualcomm Neural Processing SDK for Windows, which provides tools for converting and executing AI models on Snapdragon-based Windows devices in addition to APIs for targeting distinct processor cores with different power and performance profiles.
The new tooling from Qualcomm benefits devices beyond Project Volterra, particularly laptops built on Qualcomm’s recently debuted Snapdragon 8cx Gen 3 system-on-chip. Engineered to compete against Apple’s Arm-based silicon, the Snapdragon 8cx Gen 3 boasts an AI accelerator, the Hexagon processor, that can be used to apply AI processing to photos and video.
“The Qualcomm Neural Processing SDK for Windows, combined with Project Volterra when available, will drive improved and new Windows experiences leveraging the powerful and efficient performance of the Qualcomm AI Engine, part of the Snapdragon compute platform,” a Qualcomm spokesperson told TechCrunch via email. “Qualcomm AI Engine” refers to the combined AI processing capabilities of CPU, GPU and digital signal processor components (e.g., Hexagon) in top-of-the-line Snapdragon system-on-chips.
There’s a cloud component to Project Volterra, too, called hybrid loop. Microsoft describes it a “cross-platform development pattern” for building AI apps that span the cloud and edge, with the idea being that developers can make runtime decisions about whether to run AI apps on Azure or a local client. Hybrid loop also confers the ability to dynamically shift the load between the client and the cloud, should developers need the additional flexibility.
Image Credits: Microsoft
Panay says that hybrid loop will be exposed through a prototype “AI toolchain” in Azure Machine Learning and a new Azure Execution Provider in the ONNX Runtime, the open source project aimed at accelerating AI across frameworks, operating systems, and hardware.
“Increasingly, magical experiences powered by AI will require enormous levels of processing power beyond the capabilities of traditional CPU and GPU alone. But new silicon like NPUs will add expanded capacity for key AI workloads,” Panay said. “Our emerging model of hybrid compute and AI, along with NPU enabled devices creates a new platform for [developers] to build high ambition apps leveraging incredible amounts of power … With native Arm64 Visual Studio, .NET support, and Project Volterra coming later this year, we are releasing new tools to help [developers] take the first step on this journey.”
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Microsoft brings support for Arm-based AI chips to Windows
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Microsoft brings support Armbased AI chips Windows TechCrunch Microsoft brings support Armbased AI chips Windows Kyle Wiggers 7 hours Today Build 2022, Microsoft unveiled Project Volterra, device powered Qualcomms Snapdragon platform thats designed let developers explore AI scenarios Qualcomms new Snapdragon Neural Processing Engine SNPE Windows toolkit. The hardware arrives alongside support Windows neural processing units NPUs, dedicated chips tailored AI machine learningspecific workloads. Dedicated AI chips, speed AI processing reducing impact battery, common mobile devices like smartphones. But apps like AIpowered image upscalers come wider use, manufacturers adding chips laptop lineups. M1 Macs feature Apples Neural Engine, instance, Microsofts Surface Pro X SQ1 codeveloped Qualcomm. Intel point signaled offer AI chip solution Windows PCs, ecosystem AIpowered Arm apps wellestablished, thanks iOS Android Project Volterra appears attempt tap reinvent wheel. Its time Microsoft partnered Qualcomm launch AI developer hardware. In 2018, companies jointly announced Vision Intelligence Platform, featured fully integrated support vision algorithms running Microsofts Azure ML Azure IoT Edge services. Project Volterra offers evidence that, years later, Microsoft Qualcomm remain bedfellows arena, reported expiration Qualcomms exclusivity deal Windows Arm licenses. We believe open hardware ecosystem Windows giving [developers] flexibility options ability support wide range scenarios, Panos Panay, chief product officer Windows devices Microsoft, said blog post. As such, evolving platform support new emerging hardware platforms technologies. Microsofts Project Volterra hardware, seeks foster AI app development Windows Arm. Arriving later year, Microsoft says somewhat hyperbolically Project Volterra come neural processor bestinclass AI computing capacity efficiency. The primary chip Armbased, supplied Qualcomm, enable developers build test Armnative apps alongside tools including Visual Studio, VSCode, Microsoft Office, Teams. Project Volterra harbinger endtoend developer toolchain Armnative apps Microsoft, turns out, span Visual Studio 2022, VSCode, Visual C, NET 6, Windows Terminal, Java, Windows Subsystem Linux, Windows Subsystem Android running Android apps. Previews component begin rolling weeks, additional open source projects natively target Arm come including Python, node, git, LLVM, more. As SNPE Windows, Panay said itll allow developers execute, debug, analyze performance deep neural networks Windows devices Snapdragon hardware integrate networks apps code. Complimenting SNPE newly released Qualcomm Neural Processing SDK Windows, provides tools converting executing AI models Snapdragonbased Windows devices addition APIs targeting distinct processor cores different power performance profiles. The new tooling Qualcomm benefits devices Project Volterra, particularly laptops built Qualcomms recently debuted Snapdragon 8cx Gen 3 systemonchip. Engineered compete Apples Armbased silicon, Snapdragon 8cx Gen 3 boasts AI accelerator, Hexagon processor, apply AI processing photos video. The Qualcomm Neural Processing SDK Windows, combined Project Volterra available, drive improved new Windows experiences leveraging powerful efficient performance Qualcomm AI Engine, Snapdragon compute platform, Qualcomm spokesperson told TechCrunch email. Qualcomm AI Engine refers combined AI processing capabilities CPU, GPU digital signal processor components e.g., Hexagon topoftheline Snapdragon systemonchips. Theres cloud component Project Volterra, too, called hybrid loop. Microsoft describes crossplatform development pattern building AI apps span cloud edge, idea developers runtime decisions run AI apps Azure local client. Hybrid loop confers ability dynamically shift load client cloud, developers need additional flexibility. Image Credits: Microsoft Panay says hybrid loop exposed prototype AI toolchain Azure Machine Learning new Azure Execution Provider ONNX Runtime, open source project aimed accelerating AI frameworks, operating systems, hardware. reasingly, magical experiences powered AI require enormous levels processing power capabilities traditional CPU GPU alone. But new silicon like NPUs add expanded capacity key AI workloads, Panay said. Our emerging model hybrid compute AI, NPU enabled devices creates new platform [developers] build high ambition apps leveraging incredible amounts power With native Arm64 Visual Studio, .NET support, Project Volterra coming later year, releasing new tools help [developers] step journey.
| 2,022 |
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] | 1 | 3,144 |
https://techcrunch.com/2023/03/22/mozilla-launches-a-new-startup-focused-on-trustworthy-ai/
| 2023-03-22T00:00:00 |
en
|
Mozilla launches a new startup focused on 'trustworthy' AI | TechCrunch
|
Mozilla launches a new startup focused on 'trustworthy' AI | TechCrunch
Mozilla launches a new startup focused on ‘trustworthy’ AI
Kyle Wiggers
8 hours
On the eve of its 25th anniversary, Mozilla, the not-for-profit behind the Firefox browser, is launching an AI-focused startup.
Called Mozilla.ai, the newly forged company’s mission isn’t to build just any AI — its mission is to build AI that’s open source and “trustworthy,” according to Mark Surman, the executive president of Mozilla and the head of Mozilla.ai.
“Working on trustworthy AI for almost five years, I’ve constantly felt a mix of excitement and anxiety,” he told TechCrunch in an email interview. “The last month or two of rapid-fire big tech AI announcements has been no different. Really exciting new tech is emerging — new tools that have immediately sparked artists, founders…all kinds of people to do new things. The anxiety comes when you realize almost no one is looking at the guardrails.”
Surman was referring to the rash of AI models in recent months that, while impressive in their capabilities, have worrisome real-world implications. At release, OpenAI’s text-generating ChatGPT could be prompted to write malware, identify exploits in open source code and create phishing websites that looked similar to well-trafficked sites. Text-to-image AI like Stable Diffusion, meanwhile, has been co-opted to create pornographic, nonconsensual deepfakes and ultra-graphic depictions of violence.
The creators of these models say that they’re taking steps to curb abuse. But Mozilla felt that not enough was being done.
“We’ve been working on trustworthy AI on the public interest research side for about five years, hoping other industry players with more AI expertise would step up to build more trustworthy tech,” Surman said. “They haven’t. So we decided mid-last year we needed to do it ourselves — and to find like-minded partners to do it alongside us. We then set out to find someone with the right mix of academic and industry AI experience to lead it.”
Funded by a $30 million seed investment from the Mozilla Foundation, Mozilla’s parent organization, Mozilla.ai is a wholly owned subsidiary of the Mozilla Foundation — much like the Mozilla Corporation (the org responsible for developing Firefox) and Mozilla Ventures (the Mozilla Foundation’s VC fund). Its managing director is Moez Draief, who previously was the chief scientist at Huawei’s Noah’s Ark AI lab and the global chief scientist at consulting company Capgemini.
Harvard’s Karim Lakhani, Credo’s Navrina Singh and Surman will serve as Mozilla.ai’s initial board members. Lakhani is the chair and co-founder of the Digital, Data and Design Institute at Harvard, while Singh is a member of the U.S. Department of Commerce’s National AI Advisory Committee, which advises the president on a range of ethical AI issues.
Surman describes Mozilla.ai as part research firm, part community — a startup dedicated to helping create a trustworthy, independent open source AI stack. Initially, Mozilla.ai’s priority will be building a team of around 25 engineers, scientists and product managers to work on “trustworthy” recommendation systems and large language models along the lines of OpenAI’s GPT-4. But the company’s broader ambition is to establish a network of allied companies and research groups — including Mozilla Ventures–backed startups and academic institutions — that share its vision.
“We think there is a commercial market in trustworthy AI — and that this market needs to grow if we want to shift how the industry builds AI into the apps, products and services we all use everyday,” Surman said. “Mozilla.ai — working loosely with many allied companies, researchers and governments — [has] the opportunity to collectively create a ‘trust first’ open source AI stack. If we’re successful, the mainstream of industry would pull from this stack as a part of their regular toolkit, just as they have with the Linux and Apache stack over the last two decades.”
Mozilla.ai won’t be going it alone — not entirely. Several nonprofits are on a mission to democratize AI tools, including the recently formed EleutherAI Institute, funded by corporate backers, including Canva and Hugging Face. There’s also the Allen Institute for AI, founded by the late Microsoft co-founder Paul Allen, and the Alan Turing Institute. Smaller promising efforts include AI startup Cohere’s Cohere For AI and Timnit Gebru’s Distributed AI Research, a global decentralized research organization.
Tellingly, Mozilla.ai isn’t a nonprofit. While it’s bound to certain ethical principles (namely the Mozilla Manifesto), it’s open to spinning out — and indeed, aims to spin out — its more successful explorations into products and companies in addition to open source projects.
Draief sees this as a plus rather than a disadvantage, arguing that it gives Mozilla.ai flexibility that nonprofits lack. To his point, there’s cautionary tales like OpenAI, which was founded as a nonprofit in 2015 but was later forced to transition to a “capped-profit” structure in order to fund its ongoing research.
“The big question is, how many of the newer, smaller trustworthy AI startups will be able to stay independent?” Draief told TechCrunch via email. “It’s clear that the big players — especially the cloud platforms from Amazon, Google and Microsoft — are rushing to consolidate the AI space. This is where all the money is getting made. And it will be hard for small companies not to get vacuumed into this consolidation.”
Chasing after the AI research trends of the day — and, not coincidentally, the better-funded areas of research — Mozilla.ai will spend the next few months developing tools that, for example, let users interrogate the sources behind the answers that AI chatbots give them. The company will also seek to create systems that give users more control over content recommendation AI (i.e., the algorithms that drive YouTube, Twitter and TikTok feeds), like systems that optimize a recommender for individual or community values — building on Mozilla’s existing research.
Draief doesn’t pretend that shifting the AI stack in a meaningful way will be a speedy process. While he pledges that Mozilla.ai will ship code “this year,” he speaks in terms of multiple years.
But measurable success will require more than time.
If history is any indication, voluntary frameworks and one-off tools won’t move the needle much, if at all. Mozilla.ai’s challenge will be convincing the industry that its vision of trustworthy AI is the right one — and to adopt that vision.
“Trustworthy AI features like these feel like they should be trivial to add — but we still mostly see them in the lab,” Draief said. “Mozilla.ai will work with researchers to turn their work into working code and make it possible to use in concert with more traditional AI tools.”
|
Mozilla launches a new startup focused on 'trustworthy' AI
|
Mozilla launches new startup focused trustworthy AI TechCrunch Mozilla launches new startup focused trustworthy AI Kyle Wiggers 8 hours On eve 25th anniversary, Mozilla, notforprofit Firefox browser, launching AIfocused startup. Called Mozilla.ai, newly forged companys mission isnt build AI mission build AI thats open source trustworthy, according Mark Surman, executive president Mozilla head Mozilla.ai. Working trustworthy AI years, Ive constantly felt mix excitement anxiety, told TechCrunch email interview. The month rapidfire big tech AI announcements different. Really exciting new tech emerging new tools immediately sparked artists, foundersall kinds people new things. The anxiety comes realize looking guardrails. Surman referring rash AI models recent months that, impressive capabilities, worrisome realworld implications. At release, OpenAIs textgenerating ChatGPT prompted write malware, identify exploits open source code create phishing websites looked similar welltrafficked sites. Texttoimage AI like Stable Diffusion, meanwhile, coopted create pornographic, nonconsensual deepfakes ultragraphic depictions violence. The creators models theyre taking steps curb abuse. But Mozilla felt done. Weve working trustworthy AI public research years, hoping industry players AI expertise step build trustworthy tech, Surman said. They havent. So decided midlast year needed likeminded partners alongside us. We set right mix academic industry AI experience lead it. Funded 30 million seed investment Mozilla Foundation, Mozillas parent organization, Mozilla.ai wholly owned subsidiary Mozilla Foundation like Mozilla Corporation org responsible developing Firefox Mozilla Ventures Mozilla Foundations VC fund. Its managing director Moez Draief, previously chief scientist Huaweis Noahs Ark AI lab global chief scientist consulting company Capgemini. Harvards Karim Lakhani, Credos Navrina Singh Surman serve Mozilla.ais initial board members. Lakhani chair cofounder Digital, Data Design Institute Harvard, Singh member U.S. Department Commerces National AI Advisory Committee, advises president range ethical AI issues. Surman describes Mozilla.ai research firm, community startup dedicated helping create trustworthy, independent open source AI stack. Initially, Mozilla.ais priority building team 25 engineers, scientists product managers work trustworthy recommendation systems large language models lines OpenAIs GPT4. But companys broader ambition establish network allied companies research groups including Mozilla Venturesbacked startups academic institutions share vision. We think commercial market trustworthy AI market needs grow want shift industry builds AI apps, products services use everyday, Surman said. Mozilla.ai working loosely allied companies, researchers governments [has] opportunity collectively create trust open source AI stack. If successful, mainstream industry pull stack regular toolkit, Linux Apache stack decades. Mozilla.ai wont going entirely. Several nonprofits mission democratize AI tools, including recently formed EleutherAI Institute, funded corporate backers, including Canva Hugging Face. Theres Allen Institute AI, founded late Microsoft cofounder Paul Allen, Alan Turing Institute. Smaller promising efforts include AI startup Coheres Cohere For AI Timnit Gebrus Distributed AI Research, global decentralized research organization. Tellingly, Mozilla.ai isnt nonprofit. While bound certain ethical principles Mozilla Manifesto, open spinning indeed, aims spin successful explorations products companies addition open source projects. Draief sees plus disadvantage, arguing gives Mozilla.ai flexibility nonprofits lack. To point, theres cautionary tales like OpenAI, founded nonprofit 2015 later forced transition cappedprofit structure order fund ongoing research. The big question is, newer, smaller trustworthy AI startups able stay independent? Draief told TechCrunch email. Its clear big players especially cloud platforms Amazon, Google Microsoft rushing consolidate AI space. This money getting made. And hard small companies vacuumed consolidation. Chasing AI research trends day and, coincidentally, betterfunded areas research Mozilla.ai spend months developing tools that, example, let users interrogate sources answers AI chatbots them. The company seek create systems users control content recommendation AI i.e., algorithms drive YouTube, Twitter TikTok feeds, like systems optimize recommender individual community values building Mozillas existing research. Draief doesnt pretend shifting AI stack meaningful way speedy process. While pledges Mozilla.ai ship code year, speaks terms multiple years. But measurable success require time. If history indication, voluntary frameworks oneoff tools wont needle much, all. Mozilla.ais challenge convincing industry vision trustworthy AI right adopt vision. Trustworthy AI features like feel like trivial add lab, Draief said. Mozilla.ai work researchers turn work working code possible use concert traditional AI tools.
| 2,023 |
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] | 1 | 3,145 |
https://techcrunch.com/2023/10/04/rabbit-is-building-an-ai-model-that-understands-how-software-works/
| 2023-10-04T00:00:00 |
en
|
Rabbit is building an AI model that understands how software works | TechCrunch
|
Rabbit is building an AI model that understands how software works | TechCrunch
TechCrunch
plus-bold
TechCrunch
Open Navigation
TechCrunch
Rabbit is building an AI model that understands how software works
Kyle Wiggers
10 hours
What if you could interact with any piece of software using natural language? Imagine typing in a prompt and having AI translate the instructions into machine-comprehendable commands, executing tasks on a PC or phone to accomplish the goal that you just described?
That’s the idea behind Rabbit, a rebranding of Cyber Manufacture Co., which is building a custom, AI-powered UI layer designed to sit between a user and any operating system.
Founded by Jesse Lyu, who holds a bachelor’s degree in mathematics from the University of Liverpool, and Alexander Liao, previously a researcher at Carnegie Mellon, Rabbit is creating a platform, Rabbit OS, underpinned by an AI model that can — so Lyu and Liao claim — see and act on desktop and mobile interfaces the same ways that humans can.
“The advancements in generative AI have ignited a wide range of initiatives within the technology industry to define and establish the next level of human-machine interaction,” Lyu told TechCrunch in an email interview. “Our perspective is that the ultimate determinant of success lies in delivering an exceptional end-user experience. Drawing upon our past endeavors and experiences, we’ve realized that revolutionizing the user experience necessitates a bespoke and dedicated platform and device. This fundamental principle underpins the current product and technical stack chosen by Rabbit.”
Rabbit — which has $20 million in funding contributed by Khosla Ventures, Synergis Capital and Kakao Investment, which a source familiar with the matter says values the startup at between $100 million and $150 million — isn’t the first to attempt a layering natural language interface on top of existing software.
Google’s AI research lab, DeepMind, has explored several approaches for teaching AI to control computers, for example having an AI observe keyboard and mouse commands from people completing “instruction-following” tasks such as booking a flight. Researchers at Shanghai Jiao Tong University recently open sourced a web-navigating AI agent that they claim can figure out how to do things like use a search engine and order items online. Elsewhere, there’s apps like the viral Auto-GPT, which tap AI startup OpenAI’s text-generating models to act “autonomously,” interacting with apps, software and services both online and local, like web browsers and word processors.
But if Rabbit has a direct rival, it’s probably Adept, a startup training a model, called ACT-1, that can understand and execute commands such as “generate a monthly compliance report” or “draw stairs between these two points in this blueprint” using existing software like Airtable, Photoshop, Tableau and Twilio. Co-founded by former DeepMind, OpenAI and Google engineers and researchers, Adept has raised hundreds of millions of dollars from strategic investors including Microsoft, Nvidia, Atlassian and Workday at a valuation of around $1 billion.
So how does Rabbit hope to compete in the increasingly crowded field? By taking a different technical tack, Lyu says.
While it might sound like what Rabbit’s creating is akin to robotic process automation (RPA), or software robots that leverage a combination of automation, computer vision and machine learning to automate repetitive tasks like filing out forms and responding to emails, Lyu insists that it’s more sophisticated. Rabbit’s core interaction model can “comprehend complex user intentions” and “operating user interfaces,” he says, to ultimately (and maybe a little hyperbolically) “understand human intentions on computers.”
“The model can already interact with high-frequency, major consumer applications — including Uber, Doordash, Expedia, Spotify, Yelp, OpenTable and Amazon — across Android and the web,” Lyu said. “We seek to extend this support to all platforms (e.g. Windows, Linux, MacOS, etc.) and niche consumer apps next year.”
Rabbit’s model can do things like book a flight or make a reservation. And it can edit images in Photoshop, using the appropriate built-in tools.
Or rather, it will be able to someday. I tried a demo on Rabbit’s website and the model’s a bit limited in functionality at the moment — and it seems to get confused by this fact. I prompted the model to edit a photo and it instructed me to specify which one — an impossibility given that the demo UI lacks an upload button or even a field to paste in an image URL.
The Rabbit model can indeed, though, answer questions that require canvassing the worldwide web, a la ChatGPT with web access. I asked it for the cheapest flights available from New York to San Francisco on October 5, and — after about 20 seconds — it gave me an answer that appeared to be factually accurate, or at least plausible. And the model correctly listed at least a few TechCrunch podcasts (e.g. “Chain Reaction”) when asked to do so, beating an early version of Bing Chat in that regard.
Rabbit’s model was less inclined to respond to more problematic prompts such as instructions for making a dirty bomb and one questioning the validity of the Holocaust. Clearly, the team’s learned from some of the mistakes of large language models past (see: the early Bing Chat’s tendency to go off the rails) — at least judging by my very brief testing.
The demo model on Rabbit’s site, which is a bit limited in functionality.
“By leveraging [our model], the Rabbit platform empowers any user, regardless of their professional skills, to teach the system how to achieve specific goals on applications,” Lyu explains. “[The model] continuously learns and imitates from aggregated demonstrations and available data on the internet, creating a ‘conceptual blueprint’ for the underlying services of any application.”
Rabbit’s model is robust to a degree to “perturbations,” Lyu added, like interfaces that aren’t presented in a consistent way or that change over time. It simply has to “observe,” via a screen-recording app, a person using a software interface at least once.
Now, it’s not clear just how robust the Rabbit model is. In fact, the Rabbit team doesn’t know itself — at least not precisely. And that’s not terribly surprising, considering the countless edge cases that can crop up in navigating a desktop, smartphone or web UI. That’s why, in addition to building the model, the company’s architecting a framework to test, observe and refine the model as well as infrastructure to validate and run future versions of the model in the cloud.
Rabbit also plans to release dedicated hardware to host its platform. I question the wisdom of that strategy, given how difficult scaling hardware manufacturing tends to be, the consumer hostileness of vendor lock-in and the fact that the device might have to eventually compete against whatever OpenAI’s planning. But Lyu — who curiously wouldn’t tell me exactly what the hardware will do or why it’s necessary — admits that the roadmap’s a bit in flux at the moment.
“We are building a new, very affordable, and dedicated form factor for a mobile device to run our platform for natural language interactions,” Lyu said. “It’ll be the first device to access our platform … We believe that a unique form factor allows us to design new interaction patterns that are more intuitive and delightful, offering us the freedom to run our software and models that the existing platforms are unable to or don’t allow.”
Hardware isn’t Rabbit’s only scaling challenge, should it decide to pursue its proposed hardware strategy. A model like the one Rabbit’s building presumably needs a lot of examples of successfully completed tasks in apps. And collecting that sort of data can be a laborious — not to mention costly — process.
For example, in one of the DeepMind studies, the researchers wrote that, in order to collect training data for their system, they had to pay 77 people to complete over 2.4 million demonstrations of computer tasks. Extrapolate that out, and the sheer magnitude of the problem comes into sharp relief.
Now, $20 million can go a long way — especially since Rabbit’s a small team (9 people) currently working out of Lyu’s house. (He estimates the burn rate at around $250,000.) I wonder, though, whether Rabbit will be able to keep up with the more established players in the space — and how it’ll combat new challengers like Microsoft’s Copilot for Windows and OpenAI’s efforts to foster a plugin ecosystem for ChatGPT.
Rabbit is nothing if not ambitious, though — and confident it can make business-sustaining money through licensing its platform, continuing to refine its model and selling custom devices. Time will tell.
“We haven’t released a product yet, but our early demos have attracted tens and thousands of users,” Lyu said. “The eventual mature form of models that the Rabbit team will be developing will work with data that they have yet to collect and will be evaluated on benchmarks that they have yet to design. This is why the Rabbit team is not building the model alone, but the full stack of necessary apparatus in the operating system to support it … The Rabbit team believes that the best way to realize the value of cutting-edge research is by focusing on the end users and deploying hardened and safeguarded systems into production quickly.
|
Rabbit is building an AI model that understands how software works
|
Rabbit building AI model understands software works TechCrunch TechCrunch plusbold TechCrunch Open Navigation TechCrunch Rabbit building AI model understands software works Kyle Wiggers 10 hours What interact piece software natural language? Imagine typing prompt AI translate instructions machinecomprehendable commands, executing tasks PC phone accomplish goal described? Thats idea Rabbit, rebranding Cyber Manufacture Co., building custom, AIpowered UI layer designed sit user operating system. Founded Jesse Lyu, holds bachelors degree mathematics University Liverpool, Alexander Liao, previously researcher Carnegie Mellon, Rabbit creating platform, Rabbit OS, underpinned AI model Lyu Liao claim act desktop mobile interfaces ways humans can. The advancements generative AI ignited wide range initiatives technology industry define establish level humanmachine interaction, Lyu told TechCrunch email interview. Our perspective ultimate determinant success lies delivering exceptional enduser experience. Drawing past endeavors experiences, weve realized revolutionizing user experience necessitates bespoke dedicated platform device. This fundamental principle underpins current product technical stack chosen Rabbit. Rabbit 20 million funding contributed Khosla Ventures, Synergis Capital Kakao Investment, source familiar matter says values startup 100 million 150 million isnt attempt layering natural language interface existing software. Googles AI research lab, DeepMind, explored approaches teaching AI control computers, example AI observe keyboard mouse commands people completing instructionfollowing tasks booking flight. Researchers Shanghai Jiao Tong University recently open sourced webnavigating AI agent claim figure things like use search engine order items online. Elsewhere, theres apps like viral AutoGPT, tap AI startup OpenAIs textgenerating models act autonomously, interacting apps, software services online local, like web browsers word processors. But Rabbit direct rival, probably Adept, startup training model, called ACT1, understand execute commands generate monthly compliance report draw stairs points blueprint existing software like Airtable, Photoshop, Tableau Twilio. Cofounded DeepMind, OpenAI Google engineers researchers, Adept raised hundreds millions dollars strategic investors including Microsoft, Nvidia, Atlassian Workday valuation 1 billion. So Rabbit hope compete increasingly crowded field? By taking different technical tack, Lyu says. While sound like Rabbits creating akin robotic process automation RPA, software robots leverage combination automation, vision machine learning automate repetitive tasks like filing forms responding emails, Lyu insists sophisticated. Rabbits core interaction model comprehend complex user intentions operating user interfaces, says, ultimately maybe little hyperbolically understand human intentions computers. The model interact highfrequency, major consumer applications including Uber, Doordash, Expedia, Spotify, Yelp, OpenTable Amazon Android web, Lyu said. We seek extend support platforms e.g. Windows, Linux, MacOS, etc. niche consumer apps year. Rabbits model things like book flight reservation. And edit images Photoshop, appropriate builtin tools. Or rather, able someday. I tried demo Rabbits website models bit limited functionality moment confused fact. I prompted model edit photo instructed specify impossibility given demo UI lacks upload button field paste image URL. The Rabbit model indeed, though, answer questions require canvassing worldwide web, la ChatGPT web access. I asked cheapest flights available New York San Francisco October 5, 20 seconds gave answer appeared factually accurate, plausible. And model correctly listed TechCrunch podcasts e.g. Chain Reaction asked so, beating early version Bing Chat regard. Rabbits model inclined respond problematic prompts instructions making dirty bomb questioning validity Holocaust. Clearly, teams learned mistakes large language models past see: early Bing Chats tendency rails judging brief testing. The demo model Rabbits site, bit limited functionality. By leveraging [our model], Rabbit platform empowers user, regardless professional skills, teach achieve specific goals applications, Lyu explains. [The model] continuously learns imitates aggregated demonstrations available data internet, creating conceptual blueprint underlying services application. Rabbits model robust degree perturbations, Lyu added, like interfaces arent presented consistent way change time. It simply observe, screenrecording app, person software interface once. Now, clear robust Rabbit model is. In fact, Rabbit team doesnt know precisely. And thats terribly surprising, considering countless edge cases crop navigating desktop, smartphone web UI. Thats why, addition building model, companys architecting framework test, observe refine model infrastructure validate run future versions model cloud. Rabbit plans release dedicated hardware host platform. I question wisdom strategy, given difficult scaling hardware manufacturing tends be, consumer hostileness vendor lockin fact device eventually compete OpenAIs planning. But Lyu curiously wouldnt tell exactly hardware necessary admits roadmaps bit flux moment. We building new, affordable, dedicated form factor mobile device run platform natural language interactions, Lyu said. Itll device access platform We believe unique form factor allows design new interaction patterns intuitive delightful, offering freedom run software models existing platforms unable dont allow. Hardware isnt Rabbits scaling challenge, decide pursue proposed hardware strategy. A model like Rabbits building presumably needs lot examples successfully completed tasks apps. And collecting sort data laborious mention costly process. For example, DeepMind studies, researchers wrote that, order collect training data system, pay 77 people complete 2.4 million demonstrations tasks. Extrapolate out, sheer magnitude problem comes sharp relief. Now, 20 million long way especially Rabbits small team 9 people currently working Lyus house. He estimates burn rate 250,000. I wonder, though, Rabbit able established players space itll combat new challengers like Microsofts Copilot Windows OpenAIs efforts foster plugin ecosystem ChatGPT. Rabbit ambitious, confident businesssustaining money licensing platform, continuing refine model selling custom devices. Time tell. We havent released product yet, early demos attracted tens thousands users, Lyu said. The eventual mature form models Rabbit team developing work data collect evaluated benchmarks design. This Rabbit team building model alone, stack necessary apparatus operating support The Rabbit team believes best way realize value cuttingedge research focusing end users deploying hardened safeguarded systems production quickly.
| 2,023 |
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] | 1 | 3,146 |
https://techhq.com/2023/01/microsoft-mulls-a-far-larger-stake-in-openai-plans-to-add-chatgpt-on-azure/
| 2023-01-17T00:00:00 |
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Microsoft mulls a far larger stake in OpenAI
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Microsoft mulls a far larger stake in OpenAI
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ARTIFICIAL INTELLIGENCE
Microsoft mulls a far larger stake in OpenAI, plans to add ChatGPT on Azure
Apparently the software giant is in discussions to invest as much as US$10 billion in OpenAI, the creator of ChatGPT.
17 January 2023
Dashveenjit Kaur
@DashveenjitK
[email protected]
All stories
Artificial intelligence. Real investment.
In 2019, Microsoft made a US$1 billion bet on OpenAI, the San Francisco company that designed ChatGPT, while announcing a multi-year “exclusive computing partnership.” The partnership includes the two companies building new AI supercomputing technologies for Microsoft’s Azure cloud platform, and OpenAI will also port its existing services to work on Azure.
READ NEXTCybersecurity firms examine ChatGPT threat model
At the same time, Microsoft officially became “OpenAI’s preferred partner” for the commercialization of any new AI technologies it develops in the future. Later that year, the software giant invested another US$2 billion, but it was kept under wraps, according to people familiar with the matter. The total US$3 billion Microsoft paid is for the huge amounts of computing power that OpenAI needed to build the chatbot.
For Microsoft, it means that the software giant could rapidly build and deploy new products based on the technology. Microsoft sees these technologies as a way of expanding and improving its already wide range of products for businesses, computer programmers and consumers, while boosting revenues across its Azure cloud computing services.
General availability of Azure OpenAI Service expands access to large, advanced AI models with added enterprise benefits.Source: Microsoft
Building on that existing relationship between the two companies, as Microsoft mulls taking a far larger stake in OpenAI, the company this week announced that it will add OpenAI’s artificial intelligence bot ChatGPT to its cloud-based Azure service “soon.” Its Azure OpenAI service has been available to a limited set of customers since it was unveiled in 2021 but it wasn’t until yesterday that Microsoft announced the broad availability of the service.
YOU MIGHT LIKEARTIFICIAL INTELLIGENCEPenetration testing – can ChatGPT help improve cybersecurity?
The service gives the software giant’s cloud customers access to various OpenAI tools like the GPT-3.5 language system on which ChatGPT is based, as well as the Dall-E model for generating images from text prompts, the company said in a blog post. That enables Azure customers to use the OpenAI products in their own applications running in the cloud. On top of the general availability, a report by Bloomberg also indicated that Microsoft is in discussions to invest as much as US$10 billion in OpenAI, quoting people familiar with its plans.
What Microsoft ultimately wants is to get an inside edge on the most popular and advanced AI systems in order to boost its own products in competition with Alphabet Inc.’s Google, Amazon.com Inc. and Meta Platforms Inc. “We are confident in the quality of the AI models we are using and offering customers today. The pace of innovation in the AI community is moving at lightning speed. We’re tremendously excited to be at the forefront of these advancements with our customers, and look forward to helping more people benefit from them in 2023 and beyond,” Microsoft said in its blog posting.
When ChatGPT was launched at the end of November, the sensational AI service received its first million users in less than a week. As Bloomberg puts it, “its imitation of human conversation sparked speculation about its potential to supplant professional writers and even threaten Google’s core search business. The organization behind it, co-founded by Elon Musk and Silicon Valley investor Sam Altman, makes money by charging developers to license its technology.”
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Microsoft mulls far larger stake OpenAI Data BI Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI Data BI Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI ARTIFICIAL INTELLIGENCE Microsoft mulls far larger stake OpenAI, plans add ChatGPT Azure Apparently software giant discussions invest US10 billion OpenAI, creator ChatGPT. 17 January 2023 Dashveenjit Kaur dashveen All stories Artificial intelligence. Real investment. In 2019, Microsoft US1 billion bet OpenAI, San Francisco company designed ChatGPT, announcing multiyear exclusive computing partnership. The partnership includes companies building new AI supercomputing technologies Microsofts Azure cloud platform, OpenAI port existing services work Azure. READ NEXTCybersecurity firms examine ChatGPT threat model At time, Microsoft officially OpenAIs preferred partner commercialization new AI technologies develops future. Later year, software giant invested US2 billion, kept wraps, according people familiar matter. The total US3 billion Microsoft paid huge amounts computing power OpenAI needed build chatbot. For Microsoft, means software giant rapidly build deploy new products based technology. Microsoft sees technologies way expanding improving wide range products businesses, programmers consumers, boosting revenues Azure cloud computing services. General availability Azure OpenAI Service expands access large, advanced AI models added enterprise benefits.Source: Microsoft Building existing relationship companies, Microsoft mulls taking far larger stake OpenAI, company week announced add OpenAIs artificial intelligence bot ChatGPT cloudbased Azure service soon. Its Azure OpenAI service available limited set customers unveiled 2021 wasnt yesterday Microsoft announced broad availability service. YOU MIGHT LIKEARTIFICIAL INTELLIGENCEPenetration testing ChatGPT help improve cybersecurity? The service gives software giants cloud customers access OpenAI tools like GPT3.5 language ChatGPT based, DallE model generating images text prompts, company said blog post. That enables Azure customers use OpenAI products applications running cloud. On general availability, report Bloomberg indicated Microsoft discussions invest US10 billion OpenAI, quoting people familiar plans. What Microsoft ultimately wants inside edge popular advanced AI systems order boost products competition Alphabet .s Google, . Meta Platforms . We confident quality AI models offering customers today. The pace innovation AI community moving lightning speed. Were tremendously excited forefront advancements customers, look forward helping people benefit 2023 beyond, Microsoft said blog posting. When ChatGPT launched end November, sensational AI service received million users week. As Bloomberg puts it, imitation human conversation sparked speculation potential supplant professional writers threaten Googles core search business. The organization it, cofounded Elon Musk Silicon Valley investor Sam Altman, makes money charging developers license technology. Apps Business Intelligence SHARE Dashveenjit Kaur dashveen All stories Biohybrid flapping robot drone appeal 17 January 2023 Lessons Royal Mail Ransomware Attack 16 January 2023 Sourcetopay bakes supply chain resilience 16 January 2023 About Advertise Hybrid brands Jobs @ Bristol Kuala Lumpur Sydney 2023 TechHQ Terms use
| 2,023 |
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| 2021-01-20T00:00:00 |
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(2020-2026) Edge AI Chips Marketplace Expansion Research, Alternatives, Traits, Traits and Forecast
reporthive January 19, 2021
“
Edge AI Chips Marketplace analysis record is the brand new statistical information supply added by way of Document Hive Analysis.
“Edge AI Chips Marketplace is rising at a Top CAGR throughout the forecast length 2020-2026. The expanding pastime of the people on this business is that the most important reason why for the growth of this marketplace”.
Edge AI Chips Marketplace analysis is an intelligence record with meticulous efforts undertaken to review the suitable and treasured data. The knowledge which has been appeared upon is finished bearing in mind each, the prevailing most sensible avid gamers and the approaching competition. Industry methods of the important thing avid gamers and the brand new coming into marketplace industries are studied intimately. Smartly defined SWOT research, earnings percentage and make contact with data are shared on this record research.
Get Pattern Replica (Together with FULL TOC, Graphs and Tables) of this record @
Most sensible Key Avid gamers Profiled on this record: Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei
The Edge AI Chips marketplace is predicted to develop from USD X.X million in 2020 to USD X.X million by way of 2026, at a CAGR of X.X% throughout the forecast length. The highest geographical areas studied on this analysis record come with North The united states, Europe, Asia-Pacific, Center East, and Africa, South The united states and the remainder of the sector. The rising Edge AI Chips Marketplace and its modern have an effect on at the international financial system is featured on this learn about. The aggressive research of primary Edge AI Chips Business avid gamers, marketplace dimension research, dynamics, in addition to the qualitative and numerical overview, is carried out. The insights introduced on this learn about will resolve the potential for Edge AI Chips Business on international, regional and country-level paving the best way for futuristic enlargement and funding feasibility.
Below COVID-19 Outbreak, how the Edge AI Chips Business will increase could also be analyzed intimately in Bankruptcy 1.7 of the record.
In Bankruptcy 2.4, we analyzed business developments within the context of COVID-19.
In Bankruptcy 3.5, we analyzed the have an effect on of COVID-19 at the product business chain in accordance with the upstream and downstream markets.
In Chapters 6 to ten of the record, we analyze the have an effect on of COVID-19 on quite a lot of areas and primary international locations.
In bankruptcy 13.5, the have an effect on of COVID-19 at the long term construction of the business is identified.
Key Affect of the Edge AI Chips Marketplace:
⟴ Complete overview of all alternatives and possibility within the Edge AI Chips Marketplace.
⟴ Edge AI Chips Marketplace fresh inventions and primary occasions.
⟴ Detailed learn about of commercial methods for enlargement of the Edge AI Chips Marketplace-leading avid gamers.
⟴ Conclusive learn about concerning the enlargement plot of Edge AI Chips Marketplace for approaching years.
⟴ In-depth figuring out of Edge AI Chips Marketplace-particular drivers, constraints and primary micro markets.
⟴ Favorable affect within necessary technological and marketplace newest developments placing the Edge AI Chips Marketplace.
⟴ To supply ancient and forecast earnings of the marketplace segments and sub-segments with appreciate to 4 major geographies and their countries- North The united states, Europe, Asia, and Remainder of the International (ROW).
⟴ To supply nation point research of the marketplace with appreciate to the present marketplace dimension and long term potential.
World Edge AI Chips Marketplace Segmentation:
Marketplace Segmentation: Through Sort
Device Finding out, Herbal Language Processing
Marketplace Segmentation: Through Utility
Smartphone, Pill, Speaker, Wearable Electronics, Different
Quite a lot of elements are answerable for the marketplace’s enlargement trajectory, which can be studied at period within the record. The independent evaluations of stakeholders, buyers, product managers, advertising and marketing executives and different key opinion leaders of the business will be offering unique information with reliability. A whole research of Edge AI Chips Marketplace festival, end-user call for, import-export statistics, gross sales margin and the marketplace dimension is supplied. The industry methods adopted by way of most sensible business avid gamers will result in a better industry resolution and funding feasibility.
>>> To get Unbelievable Reductions in this Top rate Document, Click on Right here @ https://www.reporthive.com/2434698/check_discount
Desk of Contents
1 Learn about Protection
1.1 Edge AI Chips Product Creation
1.2 Key Marketplace Segments in This Learn about
1.3 Key Producers Coated: Rating of World Most sensible Edge AI Chips Producers by way of Earnings in 2019
1.4 Marketplace by way of Sort
1.4.1 World Edge AI Chips Marketplace Measurement Expansion Fee by way of Sort
1.4.2 Device Finding out, Herbal Language Processing
1.4.3 Others
1.5 Marketplace by way of Utility
1.5.1 World Edge AI Chips Marketplace Measurement Expansion Fee by way of Utility
1.5.2 Smartphone, Pill, Speaker, Wearable Electronics, Different
1.5.3 Others
1.6 Coronavirus Illness 2019 (Covid-19): Edge AI Chips Business Affect
1.6.1 How the Covid-19 is Affecting the Edge AI Chips Business
1.6.1.1 Edge AI Chips Industry Affect Evaluation – Covid-19
1.6.1.2 Provide Chain Demanding situations
1.6.1.3 COVID-19’s Affect On Crude Oil and Delicate Merchandise
1.6.2 Marketplace Traits and Edge AI Chips Doable Alternatives within the COVID-19 Panorama
1.6.3 Measures / Proposal in opposition to Covid-19
1.6.3.1 Executive Measures to Fight Covid-19 Affect
1.6.3.2 Proposal for Edge AI Chips Avid gamers to Fight Covid-19 Affect
1.7 Learn about Goals
1.8 Years Regarded as
2 Govt Abstract
2.1 World Edge AI Chips Marketplace Measurement Estimates and Forecasts
2.1.1 World Edge AI Chips Earnings Estimates and Forecasts 2015-2026
2.1.2 World Edge AI Chips Manufacturing Capability Estimates and Forecasts 2015-2026
2.1.3 World Edge AI Chips Manufacturing Estimates and Forecasts 2015-2026
2.2 World Edge AI Chips Marketplace Measurement by way of Generating Areas: 2015 VS 2020 VS 2026
2.3 Research of Aggressive Panorama
2.3.1 Producers Marketplace Focus Ratio (CR5 and HHI)
2.3.2 World Edge AI Chips Marketplace Proportion by way of Corporate Sort (Tier 1, Tier 2 and Tier 3)
2.3.3 World Edge AI Chips Producers Geographical Distribution
2.4 Key Traits for Edge AI Chips Markets & Merchandise
2.5 Number one Interviews with Key Edge AI Chips Avid gamers (Opinion Leaders)
3 Marketplace Measurement by way of Producers
3.1 World Most sensible Edge AI Chips Producers by way of Manufacturing Capability
3.1.1 World Most sensible Edge AI Chips Producers by way of Manufacturing Capability (2015-2020)
3.1.2 World Most sensible Edge AI Chips Producers by way of Manufacturing (2015-2020)
3.1.3 World Most sensible Edge AI Chips Producers Marketplace Proportion by way of Manufacturing
3.2 World Most sensible Edge AI Chips Producers by way of Earnings
3.2.1 World Most sensible Edge AI Chips Producers by way of Earnings (2015-2020)
3.2.2 World Most sensible Edge AI Chips Producers Marketplace Proportion by way of Earnings (2015-2020)
3.2.3 World Most sensible 10 and Most sensible 5 Firms by way of Edge AI Chips Earnings in 2019
3.3 World Edge AI Chips Worth by way of Producers
3.4 Mergers & Acquisitions, Enlargement Plans
4 Edge AI Chips Manufacturing by way of Areas
4.1 World Edge AI Chips Historical Marketplace Info & Figures by way of Areas
4.1.1 World Most sensible Edge AI Chips Areas by way of Manufacturing (2015-2020)
4.1.2 World Most sensible Edge AI Chips Areas by way of Earnings (2015-2020)
4.2 North The united states
4.2.1 North The united states Edge AI Chips Manufacturing (2015-2020)
4.2.2 North The united states Edge AI Chips Earnings (2015-2020)
4.2.3 Key Avid gamers in North The united states
4.2.4 North The united states Edge AI Chips Import & Export (2015-2020)
4.3 Europe
4.3.1 Europe Edge AI Chips Manufacturing (2015-2020)
4.3.2 Europe Edge AI Chips Earnings (2015-2020)
4.3.3 Key Avid gamers in Europe
4.3.4 Europe Edge AI Chips Import & Export (2015-2020)
4.4 China
4.4.1 China Edge AI Chips Manufacturing (2015-2020)
4.4.2 China Edge AI Chips Earnings (2015-2020)
4.4.3 Key Avid gamers in China
4.4.4 China Edge AI Chips Import & Export (2015-2020)
4.5 Japan
4.5.1 Japan Edge AI Chips Manufacturing (2015-2020)
4.5.2 Japan Edge AI Chips Earnings (2015-2020)
4.5.3 Key Avid gamers in Japan
4.5.4 Japan Edge AI Chips Import & Export (2015-2020)
5 Edge AI Chips Intake by way of Area
5.1 World Most sensible Edge AI Chips Areas by way of Intake
5.1.1 World Most sensible Edge AI Chips Areas by way of Intake (2015-2020)
5.1.2 World Most sensible Edge AI Chips Areas Marketplace Proportion by way of Intake (2015-2020)
5.2 North The united states
5.2.1 North The united states Edge AI Chips Intake by way of Utility
5.2.2 North The united states Edge AI Chips Intake by way of Nations
5.2.3 U.S.
5.2.4 Canada
5.3 Europe
5.3.1 Europe Edge AI Chips Intake by way of Utility
5.3.2 Europe Edge AI Chips Intake by way of Nations
5.3.3 Germany
5.3.4 France
5.3.5 U.Ok.
5.3.6 Italy
5.3.7 Russia
5.4 Asia Pacific
5.4.1 Asia Pacific Edge AI Chips Intake by way of Utility
5.4.2 Asia Pacific Edge AI Chips Intake by way of Areas
5.4.3 China
5.4.4 Japan
5.4.5 South Korea
5.4.6 India
5.4.7 Australia
5.4.8 Taiwan
5.4.9 Indonesia
5.4.10 Thailand
5.4.11 Malaysia
5.4.12 Philippines
5.4.13 Vietnam
5.5 Central & South The united states
5.5.1 Central & South The united states Edge AI Chips Intake by way of Utility
5.5.2 Central & South The united states Edge AI Chips Intake by way of Nation
5.5.3 Mexico
5.5.3 Brazil
5.5.3 Argentina
5.6 Center East and Africa
5.6.1 Center East and Africa Edge AI Chips Intake by way of Utility
5.6.2 Center East and Africa Edge AI Chips Intake by way of Nations
5.6.3 Turkey
5.6.4 Saudi Arabia
5.6.5 U.A.E
6 Marketplace Measurement by way of Sort (2015-2026)
6.1 World Edge AI Chips Marketplace Measurement by way of Sort (2015-2020)
6.1.1 World Edge AI Chips Manufacturing by way of Sort (2015-2020)
6.1.2 World Edge AI Chips Earnings by way of Sort (2015-2020)
6.1.3 Edge AI Chips Worth by way of Sort (2015-2020)
6.2 World Edge AI Chips Marketplace Forecast by way of Sort (2021-2026)
6.2.1 World Edge AI Chips Manufacturing Forecast by way of Sort (2021-2026)
6.2.2 World Edge AI Chips Earnings Forecast by way of Sort (2021-2026)
6.2.3 World Edge AI Chips Worth Forecast by way of Sort (2021-2026)
6.3 World Edge AI Chips Marketplace Proportion by way of Worth Tier (2015-2020): Low-Finish, Mid-Vary and Top-Finish
7 Marketplace Measurement by way of Utility (2015-2026)
7.2.1 World Edge AI Chips Intake Historical Breakdown by way of Utility (2015-2020)
7.2.2 World Edge AI Chips Intake Forecast by way of Utility (2021-2026)
8 Company Profiles
8.1 Company1
8.1.1 Company1 Company Data
8.1.2 Company1 Review and Its General Earnings
8.1.3 Company1 Manufacturing Capability and Provide, Worth, Earnings and Gross Margin (2015-2020)
8.1.4 Company1 Product Description
8.1.5 Company1 Fresh Construction
8.2 Company2
8.2.1 Company2 Company Data
8.2.2 Company2 Review and Its General Earnings
8.2.3 Company2 Manufacturing Capability and Provide, Worth, Earnings and Gross Margin (2015-2020)
8.2.4 Company2 Product Description
8.2.5 Company2 Fresh Construction
8.3 Company3
8.3.1 Company3 Company Data
8.3.2 Company3 Review and Its General Earnings
8.3.3 Company3 Manufacturing Capability and Provide, Worth, Earnings and Gross Margin (2015-2020)
8.3.4 Company3 Product Description
8.3.5 Company3 Fresh Construction
8.4 This Document Covers Main Firms Related in International Edge AI Chips Marketplace (Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei.)
9 Manufacturing Forecasts by way of Areas
9.1 World Most sensible Edge AI Chips Areas Forecast by way of Earnings (2021-2026)
9.2 World Most sensible Edge AI Chips Areas Forecast by way of Manufacturing (2021-2026)
9.3 Key Edge AI Chips Manufacturing Areas Forecast
9.3.1 North The united states
9.3.2 Europe
9.3.3 China
9.3.4 Japan
10 Edge AI Chips Intake Forecast by way of Area
10.1 World Edge AI Chips Intake Forecast by way of Area (2021-2026)
10.2 North The united states Edge AI Chips Intake Forecast by way of Area (2021-2026)
10.3 Europe Edge AI Chips Intake Forecast by way of Area (2021-2026)
10.4 Asia Pacific Edge AI Chips Intake Forecast by way of Area (2021-2026)
10.5 Latin The united states Edge AI Chips Intake Forecast by way of Area (2021-2026)
10.6 Center East and Africa Edge AI Chips Intake Forecast by way of Area (2021-2026)
11 Worth Chain and Gross sales Channels Research
11.1 Worth Chain Research
11.2 Gross sales Channels Research
11.2.1 Edge AI Chips Gross sales Channels
11.2.2 Edge AI Chips Vendors
11.3 Edge AI Chips Shoppers
12 Marketplace Alternatives & Demanding situations, Dangers and Influences Components Research
12.1 Marketplace Alternatives and Drivers
12.2 Marketplace Demanding situations
12.3 Marketplace Dangers/Restraints
12.4 Porter’s 5 Forces Research
13 Key Discovering in The World Edge AI Chips Learn about
14 Appendix
14.1 Analysis Technique
14.1.1 Technique/Analysis Manner
14.1.2 Information Supply
14.2 Writer Main points
14.3 Disclaimer
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(2020-2026) Edge AI Chips Marketplace Expansion Research, Alternatives, Traits, Traits and Forecast
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20202026 Edge AI Chips Marketplace Expansion Research, Alternatives, Traits, Traits Forecast TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News COVID19 Affect ON Rotators Marketplace Producers Research And Trade Insights 20202026 Miller Industries, TWG Dover, Indexator Expanded Polypropylene Foam Marketplace 2020 Research means Knowledge Sort, Services products, Programs, Key Corporations, Gross sales Potentialities, Monetary Traits, Expansion Alternatives Trade Forecast 2025 EWaste Control Marketplace Measurement, Percentage, Long run Forecast 2025, Expansion Alternatives, Most sensible Avid gamers, Outlook, Areas, Building Tendencies Trade Analysis File Cell Digital Community Operator MVNO Marketplace 2025 Tough Enlargement Pushed Applied sciences, Trade Research Sturdy Uptake Therapies Marketplace Enlargement Perception Fruit Vegetable Cleaner Marketplace 2020 InIntensity Research Business Proportion, Measurement, Enlargement Outlook 2026 R. Ok. Transonic Engineers, Engreener, Jwala Techno Engineering Meat Stabilizers Blends Marketplace Most probably To Enjoy A Super Enlargement In Close Long run 2030 FMI File Affect Corona Hydraulic Pump Drives Marketplace 2020 International Trade Measurement, Long run Expansion Through 2026 Amarillo Equipment, John Deere, MTE Hydraulics COVID19 Outbreak In short Derails Swallowing Dysfunction Merchandise Marketplace; Gross sales Select Tempo As soon Pandemic Starts Recede COVID19 Affect ON Rotating Mousehole Marketplace Dimension CAGR Regional Forecast 20202026 Discussion board Power Applied sciences, Drillmec, Keystone Power Equipment Lignocaine Marketplace Witness Astonishing Enlargement way Forecast 2025 Best Main avid gamers like Kronos, Sage, Ascentis, Good fortune components, Pay Center attention, Bamboohr, Kenexa, Ultipro Wednesday, January 20, 2021 coronavirus News Technologies 20202026 Edge AI Chips Marketplace Expansion Research, Alternatives, Traits, Traits Forecast reporthive January 19, 2021 Edge AI Chips Marketplace analysis record brand new statistical information supply added way Document Hive Analysis. Edge AI Chips Marketplace rising Top CAGR forecast length 20202026. The expanding pastime people business important reason growth marketplace. Edge AI Chips Marketplace analysis intelligence record meticulous efforts undertaken review suitable treasured data. The knowledge appeared finished bearing mind each, prevailing sensible avid gamers approaching competition. Industry methods important thing avid gamers brand new coming marketplace industries studied intimately. Smartly defined SWOT research, earnings percentage contact data shared record research. Get Pattern Replica Together FULL TOC, Graphs Tables record @ Most sensible Key Avid gamers Profiled record: Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei The Edge AI Chips marketplace predicted develop USD X.X million 2020 USD X.X million way 2026, CAGR X.X forecast length. The highest geographical areas studied analysis record come North The united states, Europe, AsiaPacific, Center East, Africa, South The united states remainder sector. The rising Edge AI Chips Marketplace modern effect international financial featured learn about. The aggressive research primary Edge AI Chips Business avid gamers, marketplace dimension research, dynamics, addition qualitative numerical overview, carried out. The insights introduced learn resolve potential Edge AI Chips Business international, regional countrylevel paving best way futuristic enlargement funding feasibility. Below COVID19 Outbreak, Edge AI Chips Business increase analyzed intimately Bankruptcy 1.7 record. In Bankruptcy 2.4, analyzed business developments context COVID19. In Bankruptcy 3.5, analyzed effect COVID19 product business chain accordance upstream downstream markets. In Chapters 6 record, analyze effect COVID19 lot areas primary international locations. In bankruptcy 13.5, effect COVID19 long term construction business identified. Key Affect Edge AI Chips Marketplace: Complete overview alternatives possibility Edge AI Chips Marketplace. Edge AI Chips Marketplace fresh inventions primary occasions. Detailed learn commercial methods enlargement Edge AI Chips Marketplaceleading avid gamers. Conclusive learn concerning enlargement plot Edge AI Chips Marketplace approaching years. Indepth figuring Edge AI Chips Marketplaceparticular drivers, constraints primary micro markets. Favorable affect necessary technological marketplace newest developments placing Edge AI Chips Marketplace. To supply ancient forecast earnings marketplace segments subsegments appreciate 4 major geographies countries North The united states, Europe, Asia, Remainder International ROW. To supply nation point research marketplace appreciate present marketplace dimension long term potential. World Edge AI Chips Marketplace Segmentation: Marketplace Segmentation: Through Sort Device Finding out, Herbal Language Processing Marketplace Segmentation: Through Utility Smartphone, Pill, Speaker, Wearable Electronics, Different Quite lot elements answerable marketplaces enlargement trajectory, studied period record. The independent evaluations stakeholders, buyers, product managers, advertising marketing executives different key opinion leaders business offering unique information reliability. A research Edge AI Chips Marketplace festival, enduser for, importexport statistics, gross sales margin marketplace dimension supplied. The industry methods adopted way sensible business avid gamers result better industry resolution funding feasibility. >>> To Unbelievable Reductions Top rate Document, Click Right @ Desk Contents 1 Learn Protection 1.1 Edge AI Chips Product Creation 1.2 Key Marketplace Segments This Learn 1.3 Key Producers Coated: Rating World Most sensible Edge AI Chips Producers way Earnings 2019 1.4 Marketplace way Sort 1.4.1 World Edge AI Chips Marketplace Measurement Expansion Fee way Sort 1.4.2 Device Finding out, Herbal Language Processing 1.4.3 Others 1.5 Marketplace way Utility 1.5.1 World Edge AI Chips Marketplace Measurement Expansion Fee way Utility 1.5.2 Smartphone, Pill, Speaker, Wearable Electronics, Different 1.5.3 Others 1.6 Coronavirus Illness 2019 Covid19: Edge AI Chips Business Affect 1.6.1 How Covid19 Affecting Edge AI Chips Business 1.6.1.1 Edge AI Chips Industry Affect Evaluation Covid19 1.6.1.2 Provide Chain Demanding situations 1.6.1.3 COVID19s Affect On Crude Oil Delicate Merchandise 1.6.2 Marketplace Traits Edge AI Chips Doable Alternatives COVID19 Panorama 1.6.3 Measures Proposal opposition Covid19 1.6.3.1 Executive Measures Fight Covid19 Affect 1.6.3.2 Proposal Edge AI Chips Avid gamers Fight Covid19 Affect 1.7 Learn Goals 1.8 Years Regarded 2 Govt Abstract 2.1 World Edge AI Chips Marketplace Measurement Estimates Forecasts 2.1.1 World Edge AI Chips Earnings Estimates Forecasts 20152026 2.1.2 World Edge AI Chips Manufacturing Capability Estimates Forecasts 20152026 2.1.3 World Edge AI Chips Manufacturing Estimates Forecasts 20152026 2.2 World Edge AI Chips Marketplace Measurement way Generating Areas: 2015 VS 2020 VS 2026 2.3 Research Aggressive Panorama 2.3.1 Producers Marketplace Focus Ratio CR5 HHI 2.3.2 World Edge AI Chips Marketplace Proportion way Corporate Sort Tier 1, Tier 2 Tier 3 2.3.3 World Edge AI Chips Producers Geographical Distribution 2.4 Key Traits Edge AI Chips Markets Merchandise 2.5 Number Interviews Key Edge AI Chips Avid gamers Opinion Leaders 3 Marketplace Measurement way Producers 3.1 World Most sensible Edge AI Chips Producers way Manufacturing Capability 3.1.1 World Most sensible Edge AI Chips Producers way Manufacturing Capability 20152020 3.1.2 World Most sensible Edge AI Chips Producers way Manufacturing 20152020 3.1.3 World Most sensible Edge AI Chips Producers Marketplace Proportion way Manufacturing 3.2 World Most sensible Edge AI Chips Producers way Earnings 3.2.1 World Most sensible Edge AI Chips Producers way Earnings 20152020 3.2.2 World Most sensible Edge AI Chips Producers Marketplace Proportion way Earnings 20152020 3.2.3 World Most sensible 10 Most sensible 5 Firms way Edge AI Chips Earnings 2019 3.3 World Edge AI Chips Worth way Producers 3.4 Mergers Acquisitions, Enlargement Plans 4 Edge AI Chips Manufacturing way Areas 4.1 World Edge AI Chips Historical Marketplace Info Figures way Areas 4.1.1 World Most sensible Edge AI Chips Areas way Manufacturing 20152020 4.1.2 World Most sensible Edge AI Chips Areas way Earnings 20152020 4.2 North The united states 4.2.1 North The united states Edge AI Chips Manufacturing 20152020 4.2.2 North The united states Edge AI Chips Earnings 20152020 4.2.3 Key Avid gamers North The united states 4.2.4 North The united states Edge AI Chips Import Export 20152020 4.3 Europe 4.3.1 Europe Edge AI Chips Manufacturing 20152020 4.3.2 Europe Edge AI Chips Earnings 20152020 4.3.3 Key Avid gamers Europe 4.3.4 Europe Edge AI Chips Import Export 20152020 4.4 China 4.4.1 China Edge AI Chips Manufacturing 20152020 4.4.2 China Edge AI Chips Earnings 20152020 4.4.3 Key Avid gamers China 4.4.4 China Edge AI Chips Import Export 20152020 4.5 Japan 4.5.1 Japan Edge AI Chips Manufacturing 20152020 4.5.2 Japan Edge AI Chips Earnings 20152020 4.5.3 Key Avid gamers Japan 4.5.4 Japan Edge AI Chips Import Export 20152020 5 Edge AI Chips Intake way Area 5.1 World Most sensible Edge AI Chips Areas way Intake 5.1.1 World Most sensible Edge AI Chips Areas way Intake 20152020 5.1.2 World Most sensible Edge AI Chips Areas Marketplace Proportion way Intake 20152020 5.2 North The united states 5.2.1 North The united states Edge AI Chips Intake way Utility 5.2.2 North The united states Edge AI Chips Intake way Nations 5.2.3 U.S. 5.2.4 Canada 5.3 Europe 5.3.1 Europe Edge AI Chips Intake way Utility 5.3.2 Europe Edge AI Chips Intake way Nations 5.3.3 Germany 5.3.4 France 5.3.5 U.Ok. 5.3.6 Italy 5.3.7 Russia 5.4 Asia Pacific 5.4.1 Asia Pacific Edge AI Chips Intake way Utility 5.4.2 Asia Pacific Edge AI Chips Intake way Areas 5.4.3 China 5.4.4 Japan 5.4.5 South Korea 5.4.6 India 5.4.7 Australia 5.4.8 Taiwan 5.4.9 Indonesia 5.4.10 Thailand 5.4.11 Malaysia 5.4.12 Philippines 5.4.13 Vietnam 5.5 Central South The united states 5.5.1 Central South The united states Edge AI Chips Intake way Utility 5.5.2 Central South The united states Edge AI Chips Intake way Nation 5.5.3 Mexico 5.5.3 Brazil 5.5.3 Argentina 5.6 Center East Africa 5.6.1 Center East Africa Edge AI Chips Intake way Utility 5.6.2 Center East Africa Edge AI Chips Intake way Nations 5.6.3 Turkey 5.6.4 Saudi Arabia 5.6.5 U.A.E 6 Marketplace Measurement way Sort 20152026 6.1 World Edge AI Chips Marketplace Measurement way Sort 20152020 6.1.1 World Edge AI Chips Manufacturing way Sort 20152020 6.1.2 World Edge AI Chips Earnings way Sort 20152020 6.1.3 Edge AI Chips Worth way Sort 20152020 6.2 World Edge AI Chips Marketplace Forecast way Sort 20212026 6.2.1 World Edge AI Chips Manufacturing Forecast way Sort 20212026 6.2.2 World Edge AI Chips Earnings Forecast way Sort 20212026 6.2.3 World Edge AI Chips Worth Forecast way Sort 20212026 6.3 World Edge AI Chips Marketplace Proportion way Worth Tier 20152020: LowFinish, MidVary TopFinish 7 Marketplace Measurement way Utility 20152026 7.2.1 World Edge AI Chips Intake Historical Breakdown way Utility 20152020 7.2.2 World Edge AI Chips Intake Forecast way Utility 20212026 8 Company Profiles 8.1 Company1 8.1.1 Company1 Company Data 8.1.2 Company1 Review Its General Earnings 8.1.3 Company1 Manufacturing Capability Provide, Worth, Earnings Gross Margin 20152020 8.1.4 Company1 Product Description 8.1.5 Company1 Fresh Construction 8.2 Company2 8.2.1 Company2 Company Data 8.2.2 Company2 Review Its General Earnings 8.2.3 Company2 Manufacturing Capability Provide, Worth, Earnings Gross Margin 20152020 8.2.4 Company2 Product Description 8.2.5 Company2 Fresh Construction 8.3 Company3 8.3.1 Company3 Company Data 8.3.2 Company3 Review Its General Earnings 8.3.3 Company3 Manufacturing Capability Provide, Worth, Earnings Gross Margin 20152020 8.3.4 Company3 Product Description 8.3.5 Company3 Fresh Construction 8.4 This Document Covers Main Firms Related International Edge AI Chips Marketplace Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei. 9 Manufacturing Forecasts way Areas 9.1 World Most sensible Edge AI Chips Areas Forecast way Earnings 20212026 9.2 World Most sensible Edge AI Chips Areas Forecast way Manufacturing 20212026 9.3 Key Edge AI Chips Manufacturing Areas Forecast 9.3.1 North The united states 9.3.2 Europe 9.3.3 China 9.3.4 Japan 10 Edge AI Chips Intake Forecast way Area 10.1 World Edge AI Chips Intake Forecast way Area 20212026 10.2 North The united states Edge AI Chips Intake Forecast way Area 20212026 10.3 Europe Edge AI Chips Intake Forecast way Area 20212026 10.4 Asia Pacific Edge AI Chips Intake Forecast way Area 20212026 10.5 Latin The united states Edge AI Chips Intake Forecast way Area 20212026 10.6 Center East Africa Edge AI Chips Intake Forecast way Area 20212026 11 Worth Chain Gross sales Channels Research 11.1 Worth Chain Research 11.2 Gross sales Channels Research 11.2.1 Edge AI Chips Gross sales Channels 11.2.2 Edge AI Chips Vendors 11.3 Edge AI Chips Shoppers 12 Marketplace Alternatives Demanding situations, Dangers Influences Components Research 12.1 Marketplace Alternatives Drivers 12.2 Marketplace Demanding situations 12.3 Marketplace DangersRestraints 12.4 Porters 5 Forces Research 13 Key Discovering The World Edge AI Chips Learn 14 Appendix 14.1 Analysis Technique 14.1.1 TechniqueAnalysis Manner 14.1.2 Information Supply 14.2 Writer Main points 14.3 Disclaimer >>> Make enquiry ahead purchasing record @ Why Document Hive Analysis: Document Hive Analysis delivers strategic marketplace analysis stories, statistical surveys, business research forecast information services products, markets corporations. Our clientele levels combine world industry leaders, executive organizations, SMEs, people Get startedups, sensible control consulting corporations, universities, on. Our library 700,000 stories goals enlargement rising markets america, Europe Center East, Africa, Asia Pacific protecting industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Power Energy, Production, Automobile Transportation, Meals Drinks, on. Touch Us: Document Hive Analysis 500, North Michigan Street, Suite 6014, Chicago, IL 60611, United States Website online: Email: gross [emailprotected] Telephone: 1 3126047084 AppleEdge AI ChipsEdge AI Chips industryEdge AI Chips MarketEdge AI Chips Market 2020Edge AI Chips Market AnalysisEdge AI Chips Market Analysis Developed CountriesEdge AI Chips Market ApplicationEdge AI Chips Market TypeEdge AI Chips Market comprehensive analysisEdge AI Chips Market comprehensive reportEdge AI Chips Market DevelopmentEdge AI Chips Market Evolving Opportunities With Top Industry ExpertsEdge AI Chips Market ForecastEdge AI Chips Market Forecast 2025Edge AI Chips Market Forecast 2026Edge AI Chips Market Forecast 2027Edge AI Chips Market Future InnovationEdge AI Chips Market Future TrendsEdge AI Chips Market Google NewsEdge AI Chips Market Growing Demand Growth OpportunityEdge AI Chips Market GrowthEdge AI Chips Market AsiaEdge AI Chips Market AustraliaEdge AI Chips Market CanadaEdge AI Chips Market EuropeEdge AI Chips Market FranceEdge AI Chips Market GermanyEdge AI Chips Market IsraelEdge AI Chips Market JapanEdge AI Chips Market Key CountriesEdge AI Chips Market KoreaEdge AI Chips Market United KingdomEdge AI Chips Market United StatesEdge AI Chips market insightsEdge AI Chips Market BoomingEdge AI Chips Market Emerging Industry Developing CountriesEdge AI Chips Market Latest ReportEdge AI Chips Market opportunitiesEdge AI Chips market reportEdge AI Chips Market ResearchEdge AI Chips Market Research reportEdge AI Chips Market research studyEdge AI Chips Market Rising TrendsEdge AI Chips Market Size United StatesEdge AI Chips market strategyEdge AI Chips market SWOT AnalysisEdge AI Chips Market Updates GoogleHuaweiIBMIntelMicron TechnologyMicrosoftNvidiaQualcomm TechnologiesSamsung ElectronicsXilinx Post navigation Computerized Retail Marketplace 2020 InIntensity Research Trade Proportion, Dimension, Expansion Outlook 2026 Sanmina, Toshiba, Pricer, Leviton applied sciences, Information common senseWall Charger Marketplace Witness Powerful Growth Forecast Length for: Recent Posts COVID19 Affect ON Rotators Marketplace Producers Research And Trade Insights 20202026 Miller Industries, TWG Dover, Indexator Expanded Polypropylene Foam Marketplace 2020 Research means Knowledge Sort, Services products, Programs, Key Corporations, Gross sales Potentialities, Monetary Traits, Expansion Alternatives Trade Forecast 2025 EWaste Control Marketplace Measurement, Percentage, Long run Forecast 2025, Expansion Alternatives, Most sensible Avid gamers, Outlook, Areas, Building Tendencies Trade Analysis File Cell Digital Community Operator MVNO Marketplace 2025 Tough Enlargement Pushed Applied sciences, Trade Research Sturdy Uptake Therapies Marketplace Enlargement Perception Fruit Vegetable Cleaner Marketplace 2020 InIntensity Research Business Proportion, Measurement, Enlargement Outlook 2026 R. Ok. Transonic Engineers, Engreener, Jwala Techno Engineering BlogsArmchairs Footrest Market 2021 Industry Emerging Trend, Top Players, Revenue Insights 2027Widening possibilities electric cars help customers, changing environmentThe UN leader advocates expeditious shift fossil fuels clean energiesThe rapid growth India clean energySungrow Exceeds 10 Gigawatts Solar Power Inverters AmericasThere need reliable, clean energy supply chainThe UK Gets Highest Renewable Generation Record EverThe quest minimize space debrisTeslas investors worried losing ground EuropeThe Partnering Electric Nation Vehicle Igloo Energy Grid ProjectExpansion Kentucky Automotive SceneNew Ventures Renewable Energy Generation PartnershipsL3Harris develop satellite prototype capable detecting hypersonic weaponsItaly witnesses localities energy hub solar powerRocket Lab plans launch German companys supersecret satelliteSpaceXs Counterreflective darker Starlink Satellites better, slightly, Astronomers claimOn space broadband network, European Union speedSmart EV charging Ease Pressure GridChina begin utilizing hydrogen energy way ventured solar energyEV industry set Grow Leaps New Administration Google NewsWorld Batteries For Leisure Car Marketplace ome, Enlargement, Research, Alternatives Developments 2019 2025Emerging Medical Device Technologies Market Share Worldwide Industry Growth, Size, Statistics, Opportunities Forecasts 2024Optical Sensor Marketplace Research, Newest Developments Regional Enlargement Forecast way Sorts Packages 2020InventHelp Inventor Develops Educational Puzzle Game Young Children CBA3943Wearable Camera Market Demand Expected Raise Rising Trend Photo Video Sharing Social Media Sites FuturePlant Protein Market Size, Share, Trend Growth Forecast 2027Smart Cities Market Size Grow CAGR 28.7 Forecast Period 20182023Global Disposable Camera Trends Forecast Report 2019International Nonpublic Dosimeter Marketplace 2020: Business Research Detailed Profiles Most sensible Key Gamers Mirion Applied sciences, Fuji Electrical, Thermo Fisher Clinical, Aloka, Unfors RaySafe, RAE Programs, ATOMTEXSelfOrganization Network Market 2020 Company Profiles, Trends Types Application, Operating Business Segments 2026 Proudly powered WordPress Theme: TimesNews By . 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https://telanganatoday.com/microsoft-will-address-legal-risks-for-copilot-ai-users-in-case-of-lawsuits-brad-smith
| 2023-09-08T00:00:00 |
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Microsoft will address legal risks for copilot AI users in case of lawsuits: Brad Smith-Telangana Today
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Microsoft will address legal risks for copilot AI users in case of lawsuits: Brad Smith-Telangana Today
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Microsoft will address legal risks for copilot AI users in case of lawsuits: Brad Smith
Brad Smith, Vice Chair and President of Microsoft, mentioned that certain customers harbor concerns regarding the potential risk of facing intellectual property infringement claims when utilizing content generated by generative AI.
By
IANS
Updated On - 10:29 AM, Fri - 8 September 23
New Delhi: Microsoft has told customers of its AI Copilot services that if they are challenged on copyright grounds, the company will assume responsibility for the potential legal risks involved.
Announcing its new Copilot Copyright Commitment, the tech giant said if a third party sues a commercial customer for copyright infringement for using Microsoft’s Copilots or the output they generate, “we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products”.
Brad Smith, Vice Chair and President of Microsoft, said that some customers are concerned about the risk of IP infringement claims if they use the output produced by generative AI.
“This is understandable, given recent public inquiries by authors and artists regarding how their own work is being used in conjunction with AI models and services,” Smith said in a blog post late on Thursday.
“The new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments,” he added.
The company said it has built important guardrails into its AI Copilots to help respect authors’ copyrights.
“We have incorporated filters and other technologies that are designed to reduce the likelihood that Copilots return infringing content,” said Hossein Nowbar, CVP and Chief Legal Officer.
The Copilot Copyright Commitment extends Microsoft’s existing IP indemnification, including the output they generate, specifically for paid versions of Microsoft commercial Copilot services and Bing Chat Enterprise.
This includes Microsoft 365 Copilot that brings generative AI to Word, Excel, PowerPoint, and more.
“Today’s announcement is a first step. Like all new technologies, AI raises legal questions that our industry will need to work through with a wide array of stakeholders. This step represents a pledge to our customers that the copyright liability of our products is ours to shoulder, not theirs,” said Smith.
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Microsoft address legal risks copilot AI users case lawsuits: Brad SmithTelangana Today Friday, Sep 8, 2023 HyderabadTelanganaAP NewsIndiaWorldEntertainmentScience TechSportBusinessRewind ... NRIView PointcartoonColumnsEducation TodayReviewsPropertyVideosLifestyle EPaper NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyle php pcontext=get__context; ?> Home News Microsoft Will Address Legal Risks For Copilot Ai Users In Case Of Lawsuits Brad Smith Microsoft address legal risks copilot AI users case lawsuits: Brad Smith Brad Smith, Vice Chair President Microsoft, mentioned certain customers harbor concerns potential risk facing intellectual property infringement claims utilizing content generated generative AI. By IANS Updated On 10:29 AM, Fri 8 September 23 New Delhi: Microsoft told customers AI Copilot services challenged copyright grounds, company assume responsibility potential legal risks involved. Announcing new Copilot Commitment, tech giant said party sues commercial customer copyright infringement Microsofts Copilots output generate, defend customer pay adverse judgments settlements result lawsuit, long customer guardrails content filters built products. Brad Smith, Vice Chair President Microsoft, said customers concerned risk IP infringement claims use output produced generative AI. This understandable, given recent public inquiries authors artists work conjunction AI models services, Smith said blog post late Thursday. The new commitment extends existing intellectual property indemnity support commercial Copilot services builds previous AI Customer Commitments, added. The company said built important guardrails AI Copilots help respect authors copyrights. We incorporated filters technologies designed reduce likelihood Copilots return infringing content, said Hossein Nowbar, CVP Chief Legal Officer. The Copilot Commitment extends Microsofts existing IP indemnification, including output generate, specifically paid versions Microsoft commercial Copilot services Bing Chat Enterprise. This includes Microsoft 365 Copilot brings generative AI Word, Excel, PowerPoint, more. Todays announcement step. Like new technologies, AI raises legal questions industry need work wide array stakeholders. This step represents pledge customers copyright liability products shoulder, theirs, said Smith. Also Read Microsoft remove WordPad future release Windows Microsoft shut Visual Studio Mac year Microsoft remove features Edge latest update : Tags Brad Smith copyright Microsoft Related News Microsoft remove WordPad future release Windows Microsoft shut Visual Studio Mac year Microsoft remove features Edge latest update Telangana set beat record IT exports Streaming, Cloud Gaming, Websites: video games roundup Microsoft Launcher Android ChatGPTsupported Bing Chat Latest News Trumps extrade adviser convicted contempt Congress 9 mins ago Microsoft address legal risks copilot AI users case lawsuits: Brad Smith 1 second ago Confident India possible ensure existing geopolitical divides overcome: UN chief 19 mins ago South Korean intelligence suggests Kim Jongun opt unexpected route Russia 9 seconds ago Former PMs Manmohan Singh HD Deve Gowda invited G20 dinner 29 mins ago Poland Secures 20 Victory Against Faroe Islands Euro 2024 Qualifier 12 seconds ago Ben Stokes undergo knee surgery postWorld Cup, likely miss India tour 38 mins ago Counting begins Puthuppally bypolls, Chandy Oomen leading 19 seconds ago company Home Us business telangana today Telangana Hyderabad Latest News Entertainment World Andhra Pradesh Science Tech Sport follow 2022 TELANGANA PUBLICATIONS PVT. LTD. . Powered Veegam
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https://telanganatoday.com/more-ai-adoption-may-lead-to-2-5-hike-in-indias-gdp-report
| 2020-07-27T00:00:00 |
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More AI adoption may lead to 2.5% hike in India's GDP: Report
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More AI adoption may lead to 2.5% hike in India's GDP: Report
Skip to content Main MenuAppsePaperFollowMobile SearchMonday, July 27, 2020
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Home » Tech » More AI adoption may lead to 2.5% hike in India’s GDP: Report
More AI adoption may lead to 2.5% hike in India’s GDP: Report
"In hopes to accelerate growth and pave a path towards innovation, AI has a definite role to play in empowering industries, infrastructure and the society at large."
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By AuthorIANS | Published: 27th Jul 2020 5:03 pmNew Delhi: One unit increase in Artificial Intelligence (AI) intensity by Indian firms can result in a 2.5 percent increase in the country’s gross domestic product (GDP) in the immediate term, a study by Google, IT industry body Nasscom and think tank ICRIER revealed on Monday.
AI intensity is measured as the ratio of AI to total sales of the firm, said the report titled “Implications of AI on the Indian Economy”.
In the absence of a direct measure of AI at the firm level, the model uses investments in software, databases and computer machinery as a proxy for AI.
“This is a seminal report, estimating a 2.5 per cnet growth in India’s GDP if India adopts AI in a sustained way,” Sanjay Gupta, Country Head and Vice President, Google India, said in a statement.
The research, however, found that the current rate of growth in AI investments is unlikely to increase the levels of AI intensity adequately. In order to trigger a positive growth shock, AI intensities should be sharply increased, it added.
“India is in the midst of a once-in-a-generation disruption driven by AI. AI has become a strategic lever for economic growth across nations and will continue to be one of the most crucial technologies of the future,” said Amitabh Kant, CEO, NITI Aayog, in a special address.
“By integrating new technologies like AI and ML into various sectors, we can radically leapfrog and catch up with advanced economies.”
The suggested policy measures required to support AI’s wider adoption in India include identifying a nodal agency for the development and diffusion of AI; building collaborative frameworks for engagement between governments, industry and academia; building an all-encompassing data strategy for India; addressing India’s skill gap in AI; and promoting the development of AI safety standards.
“In hopes to accelerate growth and pave a path towards innovation, AI has a definite role to play in empowering industries, infrastructure and the society at large,” said Debjani Ghosh, President, Nasscom.
“With sheer enthusiasm we are now fostering investments in the new generation of digital natives to elevate industry growth trajectory and further boost productivity levels.”
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More AI adoption may lead to 2.5% hike in India's GDP: Report
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More AI adoption lead 2.5 hike Indias GDP: Report Skip content Main MenuAppsePaperFollowMobile Monday, July 27, 2020 HomeHyderabadTelanganaAndhra PradeshIndiaWorldEntertainmentSportBusinessScience TechLifestyleEditorialsColumnsOpinionReviewsSpecialsEducation TodayVideosSundayScapeFeaturesNRIBlog Home Tech More AI adoption lead 2.5 hike Indias GDP: Report More AI adoption lead 2.5 hike Indias GDP: Report In hopes accelerate growth pave path innovation, AI definite role play empowering industries, infrastructure society large. AddThis Sharing ButtonsShare FacebookFacebookFacebook Share TwitterTwitterTwitter Share LinkedInLinkedInLinkedIn Share WhatsAppWhatsAppWhatsApp Share MessengerMessengerMessenger Share TelegramTelegramTelegram By AuthorIANS Published: 27th Jul 2020 5:03 pmNew Delhi: One unit increase Artificial Intelligence AI intensity Indian firms result 2.5 percent increase countrys gross domestic product GDP immediate term, study Google, IT industry body Nasscom think tank ICRIER revealed Monday. AI intensity measured ratio AI total sales firm, said report titled Implications AI Indian Economy. In absence direct measure AI firm level, model uses investments software, databases machinery proxy AI. This seminal report, estimating 2.5 cnet growth Indias GDP India adopts AI sustained way, Sanjay Gupta, Country Head Vice President, Google India, said statement. The research, however, current rate growth AI investments unlikely increase levels AI intensity adequately. In order trigger positive growth shock, AI intensities sharply increased, added. India midst onceinageneration disruption driven AI. AI strategic lever economic growth nations continue crucial technologies future, said Amitabh Kant, CEO, NITI Aayog, special address. By integrating new technologies like AI ML sectors, radically leapfrog catch advanced economies. The suggested policy measures required support AIs wider adoption India include identifying nodal agency development diffusion AI; building collaborative frameworks engagement governments, industry academia; building allencompassing data strategy India; addressing Indias skill gap AI; promoting development AI safety standards. In hopes accelerate growth pave path innovation, AI definite role play empowering industries, infrastructure society large, said Debjani Ghosh, President, Nasscom. With sheer enthusiasm fostering investments new generation digital natives elevate industry growth trajectory boost productivity levels. AddThis Sharing ButtonsShare FacebookFacebookFacebook Share TwitterTwitterTwitter Share LinkedInLinkedInLinkedIn Share WhatsAppWhatsAppWhatsApp Share MessengerMessengerMessenger Share TelegramTelegramTelegram Latest NewsMore AI adoption lead 2.5 hike Indias GDP: ReportAishwarya Rai, Aaradhya test negative Covid19, discharged hospitalScientists preserve Lake Titicaca giant frogBanksy donates migrant crisis paintings charityHyderabad: Congenital spinal deformity sixyearold corrected KIMSMore Latest News Latest NewsMore AI adoption lead 2.5 hike Indias GDP: ReportAishwarya Rai, Aaradhya test negative Covid19, discharged hospitalScientists preserve Lake Titicaca giant frogBanksy donates migrant crisis paintings charityHyderabad: Congenital spinal deformity sixyearold corrected KIMSBirthday girl Kriti Sanon gets cute wish sister NupurGazans taste coffeetoyourdoorMentally Im planning US Open ahead, says MurrayTech startup Avataar.me doubles India workforce, hire 100 moreTamil actress Vijayalakshmi allegedly tries commit suicide, hospitalisedMore Latest News Top News LongAwaited Development Five IAF Rafales India, reach Ambala July 29 reasing Number Covid19 Update: 1473 new cases, deaths Sunday Telangana Record Spike India records highest singleday spike 49,931 cases Rising Cases Global COVID19 cases 16.1million: Johns Hopkins Development Plans HMDA steps plans develop lands LPS Horoscope Gold Rates Connect usFollow Videos 5 ways prevent monsoon illnesses The crumbling history Osmania General Hospital CompanyHome UsBusinessPlace AdTelangana TodayTelanganaHyderabadLatest NewsEntertainmentWorldFeaturesGalleryLifestyleSportFollow 2016, TELANGANA PUBLICATIONS PVT. LTD. .
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https://telecom.economictimes.indiatimes.com/news/abu-dhabis-mubadala-takes-stake-in-local-ai-company-g42/78997402
| 2020-11-02T00:00:00 |
en
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Group 42: Abu Dhabi's Mubadala takes stake in local AI company G42, Telecom News, ET Telecom
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Group 42: Abu Dhabi's Mubadala takes stake in local AI company G42, Telecom News, ET Telecom
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Telecom NewsLatest Telecom NewsIndustryAbu Dhabi's Mubadala takes stake in local AI company G42The size of the stake was not disclosed in the Mubadala statement announcing Injazat and Khazna were to be transferred to G42, which is also involved in cloud computing.Reuters November 02, 2020, 15:36 IST
DUBAI: Abu Dhabi state fund Mubadala said on Monday it has taken a stake in a local artificial intelligence company Group 42 (G42) after transferring ownership of two information technology companies it owns to the firm.The size of the stake was not disclosed in the Mubadala statement announcing Injazat and Khazna were to be transferred to G42, which is also involved in cloud computing.Injazat is a cloud and cyber security business, while Khazna Data Centers is a commercial wholesale data centre provider.G42 is currently working with a Chinese state-owned pharmaceutical company on a late stage trial of COVID-19 vaccine in United Arab Emirates and elsewhere in the Middle East.G42 executives have said the company is privately owned but declined to say by whom.Mubadala, which manages $232 billion in assets according to its website, is interested in sectors including medical technology, agricultural technology, artificial intelligence and life sciences.Follow and connect with us on Twitter, Facebook, LinkedinGroup 42state fundMubadalaG42Cloud computingartificial intelligenceAI companyAbu Dhabi
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Group 42: Abu Dhabi's Mubadala takes stake in local AI company G42, Telecom News, ET Telecom
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AnalyticsNecessaryNewsletter NameProviderExpiryTypePurpose Google AnalyticsGoogle1 YearHTTPSTo track visitors site, origin behaviour.iBeat AnalyticsIbeat1 YearHTTPSTo track articles statistics NameProviderExpiryTypePurpose optoutTimes Internet1 YearHTTPSStores users cookie consent state current domainPHPSESSIDTimes Internet1 dayHTTPSStores users preferencesaccessCodeTimes Internet2.5 HoursHTTPSTo serve content relevant regionpfuuidTimes Internet1 YearHTTPSUniquely identify userfpidTimes Internet1 YearHTTPSBrowser Fingerprinting uniquely identify client browsers NamePurpose Daily NewsletterReceive daily list important newsPromo MailersReceive information events, industry, etc. Ive read accepted terms conditions NEWS SITES Retail News Auto News Health News Energy News IT News Real Estate News Technology News CFO News IT Security News BFSI News Government News Brand Equity Hospitality News Travel News HR News Legal News Upcoming Event: CFO Meet discussion Revised Companies Act Sign inSign Follow us: News 3G4GDevicesEnterpriseFinancial ResultsIndustryInfrastructureInternationalInternetMVASAppsPeople MovementPolicyReviewsSmartphoneIndustry veteran Jagbir Singh joins Vodafone Idea CTO2 hrs agoVodafone Idea hike tariff 34 months; change fortunes unlikely: Analysts3 hrs agoAirtel better placed Jio net Vodafone Ideas feature phone users: AnalystsMukesh Ambani loses 5 billion oil sinks Reliance sharesFitch says 5G auction delayed government focuses 4G sale yearVodafone Ideas inadequate network investments accelerate subscriber loss: AnalystsDoT blames BSNL 4G network delayJio developed 5G new radio, core software systems internally: Kiran ThomasVodafone Ideas Rs 25k crore fundraise set 23 monthsADIA, PIF invest 1 billion Jio Fibre assetsReliance Jio nearly trebles Q2 profit Rs 2,844 crore; ARPU Rs 145Features InsightsTrends ETT Special Slideshows TeleBytes Live Sessions Fiberised India Brand Solutions ETTelecom Digital Telco Virtual SummitA virtual summit bring key stakeholders ..India Mobile Conclave20Join India Mobile Conclave 2020World Telecom DayCelebration ETTelecomUnsung HeroesOf Telecom IndustryNokiamaketechhumanSpectrum Auction 2016All updates Spectrum AuctionThe 5G Congress 2019Transform Your NetworkIndia Mobile CongressIMAGINE: new CONNECTED WorldThe Elastic NetworkYour Network At Your Fingertips Unsung HEROES 3G4G World Telecom Day Digital India Infrastructure Devices Jobs Transform Your Network Intel MVASApps TeleStats Policy Industry Smartphone CXO Corner More x Telecom NewsLatest Telecom NewsIndustryAbu Dhabis Mubadala takes stake local AI company G42The size stake disclosed Mubadala statement announcing Injazat Khazna transferred G42, involved cloud computing.Reuters November 02, 2020, 15:36 IST DUBAI: Abu Dhabi state fund Mubadala said Monday taken stake local artificial intelligence company Group 42 G42 transferring ownership information technology companies owns firm.The size stake disclosed Mubadala statement announcing Injazat Khazna transferred G42, involved cloud computing.Injazat cloud cyber security business, Khazna Data Centers commercial wholesale data centre provider.G42 currently working Chinese stateowned pharmaceutical company late stage trial COVID19 vaccine United Arab Emirates Middle East.G42 executives said company privately owned declined whom.Mubadala, manages 232 billion assets according website, interested sectors including medical technology, agricultural technology, artificial intelligence life sciences.Follow connect Twitter, Facebook, LinkedinGroup 42state fundMubadalaG42Cloud computingartificial intelligenceAI companyAbu Dhabi Recommended ColombiaSponsored Stories Newsletters 250000 Industry Leaders read everyday How hear us? 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] | 1 | 3,151 |
https://telecom.economictimes.indiatimes.com/news/u-s-export-ban-on-some-advanced-ai-chips-to-hit-almost-all-china-tech-majors-analysts/93938169
| 2022-09-02T00:00:00 |
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Nvidia: U.S. export ban on some advanced AI chips to hit almost all China tech majors: Analysts, Telecom News, ET Telecom
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Nvidia: U.S. export ban on some advanced AI chips to hit almost all China tech majors: Analysts, Telecom News, ET Telecom
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U.S. export ban on some advanced AI chips to hit almost all China tech majors: AnalystsAdvanced Micro Devices also said it had received new license requirements that will stop its advanced AI chip called MI250 from being exported to China.Reuters September 02, 2022, 07:28 IST
Visitors stop by the booth of Nvidia at the Apsara Conference, an annual cloud service technology forum hosted by Alibaba Group, in Hangzhou in eastern China's Zhejiang province Tuesday, Oct. 19, 2021. The Chinese government on Thursday, Sept. 1, 2022, called on Washington to repeal its technology export curbs after chip designer Nvidia Corp. said a new product might be delayed and some work might be moved out of China. (Chinatopix Via AP)By Josh HorwitzSHANGHAI: A U.S. order to ban exports of some advanced chips to China is likely to hit almost any major tech company running public clouds or advanced artificial intelligence training modules in the country, experts said.Chip designer Nvidia Corp said on Wednesday that U.S. officials told it to stop exporting two top computing chips for AI work to China.Advanced Micro Devices also said it had received new license requirements that will stop its advanced AI chip called MI250 from being exported to China.Shu Jueting, a Chinese Commerce Ministry spokesperson, said on Thursday that Beijing opposes the measures, saying they undermine the rights of Chinese companies and threaten to disrupt global supply chains.The orders underscore deepening U.S.-China tensions over access to advanced chip technology. "We're going from blocking certain U.S. companies from supplying to a certain company, as was the case with Huawei, to banning certain U.S. products from selling to China period," said Jay Goldberg, CEO of D2D Advisory, a finance and strategy consulting firm.The worst case scenario would be Washington broadening the ban to block contract chipmakers such as Taiwan Semiconductor Manufacturing Co and Samsung from making chips for Chinese chip designers, Jefferies' analysts said in a note."We are not there yet, and the U.S. will likely evaluate the effectiveness of each incremental step before drastic action is considered," it said.Market watchers say the latest ban is likely to hit a swathe of Chinese tech companies including such giants as Alibaba Group Holding Ltd, Tencent Holdings Ltd, Baidu Inc, and Huawei Technologies Co Ltd.Jefferies added affected companies could either rely on cloud services from Alphabet Inc's Google or Amazon.com Inc's AWS to develop AI software and export it back to China, or use multiple lower-end chips to replicate the processing power of the banned, high-end chips.One former senior staffer at AMD in China said that the restrictions won't stop Chinese tech companies from advancing their AI research, but will make research more expensive and less efficient in the short-term."It's a resource impact. They will still work on the same projects, they will still be moving forward, it just slows them down," he told Reuters.Alibaba, Tencent and Baidu did not immediately reply to Reuters' requests for comment. Huawei declined to comment.The Nvidia and AMD chips targeted by Washington are used for AI and machine learning applications, particularly building training modules for tasks such as natural language processing.These modules could be also be useful for militaries in modeling bomb simulations and designing weapons.Goldberg at D2D said there are few Chinese companies that could offer chips to replace those of AMD and Nvidia quickly and the restrictions would likely spur more funding for domestic chip startups to narrow its gap with U.S. firms. China is home to a number of startups aspiring to make chips that can compete with Nvidia and AMD. Many were founded by former staffers of those companies, though few have attained meaningful scale.Shares in Chinese AI chip makers Hygon Information Technology Co and Loongson Technology Corp surged on Thursday, rising 10% and 6%, respectively.Last week, Biren, a company founded by alumni of Nvidia and Alibaba, unveiled a 7nm chip that experts say marks notable progress for China's chip sector."There are several dozen Chinese chip companies working on all flavors of AI accelerators, and their order books are going to fill up tomorrow," said Goldberg.Follow and connect with us on Twitter, Facebook, Linkedin, YoutubeDevicesNvidiasamsungnvidia corphuaweiartificial intelligenceAMDAI chipsadvanced micro devices inc
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Nvidia: U.S. export ban on some advanced AI chips to hit almost all China tech majors: Analysts, Telecom News, ET Telecom
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AnalyticsNecessaryNewsletter NameProviderExpiryTypePurpose Google AnalyticsGoogle1 YearHTTPSTo track visitors site, origin behaviour.iBeat AnalyticsIbeat1 YearHTTPSTo track articles statisticsGrowthRx AnalyticsGrowthRx1 YearHTTPSTo track visitors site behaviour NameProviderExpiryTypePurpose optoutTimes Internet1 YearHTTPSStores users cookie consent state current domainPHPSESSIDTimes Internet1 dayHTTPSStores users preferencesaccessCodeTimes Internet2.5 HoursHTTPSTo serve content relevant regionpfuuidTimes Internet1 YearHTTPSUniquely identify userOSTIDTimes Internet1 YearHTTPSOauth secure tokenOSSOIDTimes Internet1 YearHTTPSOauth user identifierOSTPID Times Internet1 YearHTTPSused sync accross portalsfpidTimes Internet1 YearHTTPSBrowser Fingerprinting uniquely identify client browsers NamePurpose Daily NewsletterReceive daily list important newsPromo MailersReceive information events, industry, etc. Ive read accepted terms conditions NEWS SITES Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News Upcoming Event: CFO Meet discussion Revised Companies Act Sign inSign Follow us: News 3G4GDevicesEnterpriseFinancial ResultsIndustryInfrastructureInternationalInternetMVASAppsPeople MovementPolicyReviewsSmartphoneTelcos demand single act regulate OTT, DTH services2 hrs agoChipset makers want Indian handset brands focus design capabilities competitive19 hrs agoCall drops, unsolicited communication shrink: TraiDoT seeks Trais view regulate internet calling, messaging apps like WhatsApp, SignalTelcos, smartphone brands eye tie ups 5G affordableAirtel enters Rs 7000 crore CDN service market ahead 5G launchHomegrown server maker Netweb eyes active role private 5G spaceVodafone Idea shareholders approve elevation Moondra CEO; Takkar nonexecutive directorJio, Airtel 5G capex estimated 16.8 bln FY2325Domestic telecom firms want BSNL adopt new tower technologiesGlobal 5G subscriptions tally reaches 690 million Q2: EricssonFeatures InsightsTrends ETT Special Slideshows TeleBytes Live Sessions Brand Solutions Digital Telco Summit 2022Telecom Transformation The Digital Digital Telco Virtual Summit 2021Telecom Transformation The Digital VisionOur Networked FutureUnderstand CommScope creates network technolog..Built India Virtual SummitETTelecom India Mobile Conclave 2021Network Transformation: Empowering Telcos .. Awards 2022Celebrating Excellence TelecomETTelecom The 5G Congress 2022The Next Big DisruptionWorld Telecom DayUnsung HeroesNokiaSpectrum Auction 2016Transform Your NetworkIndia Mobile CongressThe Elastic Network 3G4G SatCom Digital India Infrastructure Devices Jobs MVASApps TeleStats Policy Industry Smartphone CXO Corner More x Telecom NewsLatest Telecom NewsDevices Exclusive U.S. export ban advanced AI chips hit China tech majors: AnalystsAdvanced Micro Devices said received new license requirements stop advanced AI chip called MI250 exported China.Reuters September 02, 2022, 07:28 IST Visitors stop booth Nvidia Apsara Conference, annual cloud service technology forum hosted Alibaba Group, Hangzhou eastern Chinas Zhejiang province Tuesday, Oct. 19, 2021. The Chinese government Thursday, Sept. 1, 2022, called Washington repeal technology export curbs chip designer Nvidia Corp. said new product delayed work moved China. Chinatopix Via APBy Josh HorwitzSHANGHAI: A U.S. order ban exports advanced chips China likely hit major tech company running public clouds advanced artificial intelligence training modules country, experts said.Chip designer Nvidia Corp said Wednesday U.S. officials told stop exporting computing chips AI work China.Advanced Micro Devices said received new license requirements stop advanced AI chip called MI250 exported China.Shu Jueting, Chinese Commerce Ministry spokesperson, said Thursday Beijing opposes measures, saying undermine rights Chinese companies threaten disrupt global supply chains.The orders underscore deepening U.S.China tensions access advanced chip technology. Were going blocking certain U.S. companies supplying certain company, case Huawei, banning certain U.S. products selling China period, said Jay Goldberg, CEO D2D Advisory, finance strategy consulting firm.The worst case scenario Washington broadening ban block contract chipmakers Taiwan Semiconductor Manufacturing Co Samsung making chips Chinese chip designers, Jefferies analysts said note.We yet, U.S. likely evaluate effectiveness incremental step drastic action considered, said.Market watchers latest ban likely hit swathe Chinese tech companies including giants Alibaba Group Holding Ltd, Tencent Holdings Ltd, Baidu , Huawei Technologies Co Ltd.Jefferies added affected companies rely cloud services Alphabet Google AWS develop AI software export China, use multiple lowerend chips replicate processing power banned, highend chips.One senior staffer AMD China said restrictions wont stop Chinese tech companies advancing AI research, research expensive efficient shortterm.Its resource impact. They work projects, moving forward, slows down, told Reuters.Alibaba, Tencent Baidu immediately reply Reuters requests comment. Huawei declined comment.The Nvidia AMD chips targeted Washington AI machine learning applications, particularly building training modules tasks natural language processing.These modules useful militaries modeling bomb simulations designing weapons.Goldberg D2D said Chinese companies offer chips replace AMD Nvidia quickly restrictions likely spur funding domestic chip startups narrow gap U.S. firms. China home number startups aspiring chips compete Nvidia AMD. Many founded staffers companies, attained meaningful scale.Shares Chinese AI chip makers Hygon Information Technology Co Loongson Technology Corp surged Thursday, rising 10 6, respectively.Last week, Biren, company founded alumni Nvidia Alibaba, unveiled 7nm chip experts marks notable progress Chinas chip sector.There dozen Chinese chip companies working flavors AI accelerators, order books going tomorrow, said Goldberg.Follow connect Twitter, Facebook, Linkedin, YoutubeDevicesNvidiasamsungnvidia corphuaweiartificial intelligenceAMDAI chipsadvanced micro devices Read App Read App Recommended ColombiaSponsored Stories Newsletter 400000 Industry Leaders read everyday I read Terms Conditions agree receive newsletters communications email ID. Most Read This Week This Month Airtel enters Rs 7000 crore CDN service market ahead 5G launch Our strengths data centers. We 120 edge data centerswith data center connectivity mobility service, natural offer CDN service..with proliferation gaming video, demand CDN growing significantly. People need low latency, decided bring CDN leveraging cloud data centers, Ganesh Lakshminarayanan, CEOEnterprise Business told ET. Jio partners Ericsson, Nokia, Samsung, Cisco 5G network; Google ultraaffordable 5G smartphone Vodafone Idea appoints Airtels Sunayana Thakur VP IT CyberX9 says data 226 million customers Vodafone Idea exposed internet; telco denies claim Airtel signs 5G equipment deals worth 2.5 bln While partnership Ericsson Nokia longstanding, Samsung new addition, Indias second largest telecom company officially shutting Chinese vendors Huawei ZTE 5G deployments. Adani Data Networks applies universal licence circles BSNL case: Madras HC sets aside arbitrators award favour Isha Foundation Perform perish, turnaround 24 months: Telecom minister 62,000 BSNL employees Most Read Devices This Week This Month India laptop sales net Apple 1.5 billion revenue year China shuts worlds largest electronic market COVID spike Chinese smartphone brands lowcost models Telcos, smartphone brands eye tie ups 5G affordable Chip plant create Silicon Valley: Vedantas Agarwal 5G NSA vs SA: Chipset, smartphone makers existing 5G phones support Jios network software update Apple set launch new iPhones, Watch Series 8 early September India laptop sales net Apple 1.5 billion revenue year Step smarter connected world 5G Futureforward way 26:49 ETTelecom Interviews: Vodafone Ideas Arvind Nevatia MSME focus, pvt 5G networks opportunity 01:06:26 ETTelecom Roundtables: Indias telecom revolution 2G 5G road ahead 03:43 ETTelecom Interviews: MoC Ashwini Vaishnaw 5G ecosystem development India View More TrendsOneWebStarlinkSatcomISROISPASpaceXIndustry News Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News FeaturesJobs CareersData AnalyticsProduct LaunchesTelecomTVWebinarsInsightsTrendsStartupsInterviewsTeleTalkDataReports US Advertise We options advertise including Events, Advertorials, Banners, Mailers, Webinars etc. Please contact know details. 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] | 1 | 3,152 |
https://theconversation.com/news-coverage-of-artificial-intelligence-reflects-business-and-government-hype-not-critical-voices-203633
| 2023-04-20T00:00:00 |
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News coverage of artificial intelligence reflects business and government hype — not critical voices
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News coverage of artificial intelligence reflects business and government hype — not critical voices
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Over the last two years, a multinational research team has analyzed how mainstream Canadian news media covers artificial intelligence.
(Shutterstock)
News coverage of artificial intelligence reflects business and government hype — not critical voices
Published: April 19, 2023 5.33pm EDT
Guillaume Dandurand, Institut national de la recherche scientifique (INRS), Fenwick McKelvey, Concordia University, Jonathan Roberge, Institut national de la recherche scientifique (INRS)
Authors
Guillaume Dandurand
Postdoctoral Fellow, Shaping AI, Institut national de la recherche scientifique (INRS)
Fenwick McKelvey
Associate Professor in Information and Communication Technology Policy, Concordia University
Jonathan Roberge
Professor, Institut national de la recherche scientifique (INRS)
Disclosure statement
Guillaume Dandurand receives funding from the Social Sciences and Humanities Research Council.
Fenwick McKelvey receives funding from the Social Sciences and Humanities Research Council and Les Fonds de recherche du Québec - Société et Culture (FRQSC).
Jonathan Roberge receives funding from the Social Sciences and Humanities Research Council and Les Fonds de recherche du Québec - Société et Culture (FRQSC).
Partners
Concordia University provides funding as a founding partner of The Conversation CA.Institut national de la recherche scientifique (INRS) and Universitié Concordia provide funding as founding partners of The Conversation CA-FR.Institut national de la recherche scientifique (INRS) provides funding as a member of The Conversation CA.
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The news media plays a key role in shaping public perception about artificial intelligence. Since 2017, when Ottawa launched its Pan-Canadian Artificial Intelligence Strategy, AI has been hyped as a key resource for the Canadian economy.
With more than $1 billion in public funding committed, the federal government presents AI as having potential that must be harnessed. Publicly-funded initiatives, like Scale AI and Forum IA Québec, exist to actively promote AI adoption across all sectors of the economy.
Over the last two years, our multi-national research team, Shaping AI, has analyzed how mainstream Canadian news media covers AI. We analyzed newspaper coverage of AI between 2012 and 2021 and conducted interviews with Canadian journalists who reported on AI during this time period.
Our report found news media closely reflects business and government interests in AI by praising its future capabilities and under-reporting the power dynamics behind these interests.
The chosen few
Our research found that tech journalists tend to interview the same pro-AI experts over and over again — especially computer scientists. As one journalist explained to us: “Who is the best person to talk about AI, other than the one who is actually making it?” When a small number of sources informs reporting, news stories are more likely to miss important pieces of information or be biased.
Canadian computer scientists and tech entrepreneurs Yoshua Bengio, Geoffrey Hinton, Jean-François Gagné and Joëlle Pineau are disproportionately used as sources in mainstream media. The name of Bengio — a leading expert in AI, pioneer in deep learning and founder of Mila AI Institute — turns up nearly 500 times in 344 different news articles.
Only a handful of politicians and tech leaders, like Elon Musk or Mark Zuckerberg, have appeared more often across AI news stories than these experts.
Prime Minister Justin Trudeau meets with Jean-François Gagné, co-founder and then-CEO of Element AI, at the Fortune Global Forum, in Toronto, in October 2018.
THE CANADIAN PRESS/Chris Young
Few critical voices find their way into mainstream coverage of AI. The most-cited critical voice against AI is late physicist Stephen Hawking, with only 71 mentions. Social scientists are conspicuous in their absence.
Bengio, Hinton and Pineau are computer science authorities, but like other scientists they’re not neutral and free of bias. When interviewed, they advocate for the development and deployment of AI. These experts have invested their professional lives in AI development and have a vested interest in its success.
AI researchers and entrepreneurs
Most AI scientists are not only researchers, but are also entrepreneurs. There is a distinction between these two roles. While a researcher produces knowledge, an entrepreneur uses research and development to attract investment and sell their innovations.
The lines between the state, the tech industry and academia are increasingly porous. Over the last decade in Canada, state agencies, private and public organizations, researchers and industrialists have worked to create a profitable AI ecosystem. AI researchers are firmly embedded in this tightly-knit network, sharing their time between publicly-funded labs and tech giants like Meta.
AI researchers occupy key positions of power in organizations that promote AI adoption across industries. Many hold, or have held, decision-making positions at the Canadian Institute for Advanced Research (CIFAR) — an organization that channels public funding to AI Research Chairs across Canada.
When computer scientists make their way into the news cycle, they do so not only as AI experts, but also as spokespeople for this network. They bring credibility and legitimacy to AI coverage because of their celebrated expertise. But they are also in a position to promote their own expectations about the future of AI, with little to no accountability for the fulfilment of these visions.
Hyping responsible AI
The AI experts quoted in mainstream media rarely discussed the technicalities of AI research. Machine learning techniques — colloquially known as AI — were deemed too complex for a mainstream audience. “There’s only room for so much depth about technical issues,” one journalist told us.
Instead, AI researchers use media attention to shape public expectations and understandings of AI. The recent coverage of an open letter calling for a six-month ban on AI development is a good example. News reports centred on alarmist tropes on what AI could become, citing “profound risks to society.”
Computer science professor Yoshua Bengio poses at his home in Montréal in 2016.
THE CANADIAN PRESS/Graham Hughes
Bengio, who signed the letter, warned that AI has the potential to destabilize democracy and the world order.
These interventions shaped the discourse about AI in two ways. First, they framed AI debates according to alarmist visions of distant future. Coverage of an open letter calling for a six-month break from AI development overshadowed real and well-documented harms from AI, like worker exploitation, racism, sexism, disinformation and concentration of power in the hands of tech giants.
Second, the open letter casts AI research into a Manichean dichotomy: the bad version that “no one…can understand, predict, or reliably control” and the good one — the so-called responsible AI. The open letter was as much about shaping visions about the future of AI as it was about hyping up responsible AI.
But according to AI industry standards, what is framed as “responsible AI” to date has consisted of vague, voluntary and toothless principles that cannot be enforced in corporate contexts. Ethical AI is often just a marketing ploy for profit and does little to eliminate the systems of exploitation, oppression and violence that are already linked to AI.
Report’s recommendations
Our report proposes five recommendations to encourage reflexive, critical and investigative journalism in science and technology, and pursue stories about the controversies of AI.
1. Promote and invest in technology journalism. Be wary of economic framings of AI and investigate other angles that are typically left out of business reporting, like inequalities and injustices caused by AI.
2. Avoid treating AI as a prophecy. The expected realizations of AI in the future must be distinguished from its real-world accomplishments.
3. Follow the money. Canadian legacy media has paid little attention to the significant amount of governmental funding that goes into AI research. We urge journalists to scrutinize the networks of people and organizations that work to construct and maintain the AI ecosystem in Canada.
4. Diversify your sources. Newsrooms and journalists should diversify their sources of information when it comes to AI coverage. Computer scientists and their research institutions are overwhelmingly present in AI coverage in Canada, while critical voices are severely lacking.
5. Encourage collaboration between journalists and newsrooms and data teams. Co-operation among different types of expertise helps to highlight the social and technical considerations of AI. Without one or the other, AI coverage is likely to be deterministic, inaccurate, naive or overly simplistic.
To be reflexive and critical of AI does not mean to be against the development and deployment of AI. Rather, it encourages the news media and its readers to question the underlying cultural, political and social dynamics that make AI possible, and examine the broader impact that technology has on society and vice versa.
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News coverage of artificial intelligence reflects business and government hype — not critical voices
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News coverage artificial intelligence reflects business government hype critical voices Menu Close Home Arts Culture Economy Education Environment Energy Ethics Religion Health Politics Society Science Tech Podcasts En Espaol Edition Africa Australia Canada Canada franais Espaa Europe France Global Indonesia New Zealand United Kingdom United States Edition: Available editions United States Africa Australia Canada Canada franais Espaa Europe France Global Indonesia New Zealand United Kingdom Donate Get newsletter Become author Sign reader Sign Academic rigor, journalistic flair Arts Culture Economy Education Environment Energy Ethics Religion Health Politics Society Science Tech Podcasts Over years, multinational research team analyzed mainstream Canadian news media covers artificial intelligence. Shutterstock News coverage artificial intelligence reflects business government hype criticalvoices Published: April 19, 2023 5.33pm EDT Guillaume Dandurand, Institut national la recherche scientifique INRS, Fenwick McKelvey, Concordia University, Jonathan Roberge, Institut national la recherche scientifique INRS Authors Guillaume Dandurand Postdoctoral Fellow, Shaping AI, Institut national la recherche scientifique INRS Fenwick McKelvey Associate Professor Information Communication Technology Policy, Concordia University Jonathan Roberge Professor, Institut national la recherche scientifique INRS Disclosure statement Guillaume Dandurand receives funding Social Sciences Humanities Research Council. Fenwick McKelvey receives funding Social Sciences Humanities Research Council Les Fonds recherche du Qubec Socit et Culture FRQSC. Jonathan Roberge receives funding Social Sciences Humanities Research Council Les Fonds recherche du Qubec Socit et Culture FRQSC. Partners Concordia University provides funding founding partner The Conversation CA.Institut national la recherche scientifique INRS Universiti Concordia provide funding founding partners The Conversation CAFR.Institut national la recherche scientifique INRS provides funding member The Conversation CA. View partners Email Twitter Facebook LinkedIn WhatsApp Messenger The news media plays key role shaping public perception artificial intelligence. Since 2017, Ottawa launched PanCanadian Artificial Intelligence Strategy, AI hyped key resource Canadian economy. With 1 billion public funding committed, federal government presents AI potential harnessed. Publiclyfunded initiatives, like Scale AI Forum IA Qubec, exist actively promote AI adoption sectors economy. Over years, multinational research team, Shaping AI, analyzed mainstream Canadian news media covers AI. We analyzed newspaper coverage AI 2012 2021 conducted interviews Canadian journalists reported AI time period. Our report news media closely reflects business government interests AI praising future capabilities underreporting power dynamics interests. The chosen Our research tech journalists tend interview proAI experts especially scientists. As journalist explained us: Who best person talk AI, actually making it? When small number sources informs reporting, news stories likely miss important pieces information biased. Canadian scientists tech entrepreneurs Yoshua Bengio, Geoffrey Hinton, JeanFranois Gagn Jolle Pineau disproportionately sources mainstream media. The Bengio leading expert AI, pioneer deep learning founder Mila AI Institute turns nearly 500 times 344 different news articles. Only handful politicians tech leaders, like Elon Musk Mark Zuckerberg, appeared AI news stories experts. Prime Minister Justin Trudeau meets JeanFranois Gagn, cofounder thenCEO Element AI, Fortune Global Forum, Toronto, October 2018. THE CANADIAN PRESSChris Young Few critical voices way mainstream coverage AI. The mostcited critical voice AI late physicist Stephen Hawking, 71 mentions. Social scientists conspicuous absence. Bengio, Hinton Pineau science authorities, like scientists theyre neutral free bias. When interviewed, advocate development deployment AI. These experts invested professional lives AI development vested success. AI researchers entrepreneurs Most AI scientists researchers, entrepreneurs. There distinction roles. While researcher produces knowledge, entrepreneur uses research development attract investment sell innovations. The lines state, tech industry academia increasingly porous. Over decade Canada, state agencies, private public organizations, researchers industrialists worked create profitable AI ecosystem. AI researchers firmly embedded tightlyknit network, sharing time publiclyfunded labs tech giants like Meta. AI researchers occupy key positions power organizations promote AI adoption industries. Many hold, held, decisionmaking positions Canadian Institute Advanced Research CIFAR organization channels public funding AI Research Chairs Canada. When scientists way news cycle, AI experts, spokespeople network. They bring credibility legitimacy AI coverage celebrated expertise. But position promote expectations future AI, little accountability fulfilment visions. Hyping responsible AI The AI experts quoted mainstream media rarely discussed technicalities AI research. Machine learning techniques colloquially known AI deemed complex mainstream audience. Theres room depth technical issues, journalist told us. Instead, AI researchers use media attention shape public expectations understandings AI. The recent coverage open letter calling sixmonth ban AI development good example. News reports centred alarmist tropes AI become, citing profound risks society. Computer science professor Yoshua Bengio poses home Montral 2016. THE CANADIAN PRESSGraham Hughes Bengio, signed letter, warned AI potential destabilize democracy world order. These interventions shaped discourse AI ways. First, framed AI debates according alarmist visions distant future. Coverage open letter calling sixmonth break AI development overshadowed real welldocumented harms AI, like worker exploitation, racism, sexism, disinformation concentration power hands tech giants. Second, open letter casts AI research Manichean dichotomy: bad version onecan understand, predict, reliably control good socalled responsible AI. The open letter shaping visions future AI hyping responsible AI. But according AI industry standards, framed responsible AI date consisted vague, voluntary toothless principles enforced corporate contexts. Ethical AI marketing ploy profit little eliminate systems exploitation, oppression violence linked AI. Reports recommendations Our report proposes recommendations encourage reflexive, critical investigative journalism science technology, pursue stories controversies AI. 1. Promote invest technology journalism. Be wary economic framings AI investigate angles typically left business reporting, like inequalities injustices caused AI. 2. Avoid treating AI prophecy. The expected realizations AI future distinguished realworld accomplishments. 3. Follow money. Canadian legacy media paid little attention significant governmental funding goes AI research. We urge journalists scrutinize networks people organizations work construct maintain AI ecosystem Canada. 4. Diversify sources. Newsrooms journalists diversify sources information comes AI coverage. Computer scientists research institutions overwhelmingly present AI coverage Canada, critical voices severely lacking. 5. Encourage collaboration journalists newsrooms data teams. Cooperation different types expertise helps highlight social technical considerations AI. Without other, AI coverage likely deterministic, inaccurate, naive overly simplistic. To reflexive critical AI mean development deployment AI. Rather, encourages news media readers question underlying cultural, political social dynamics AI possible, examine broader impact technology society vice versa. Artificial intelligence AI News media Media bias Canadian newspapers Ethics artificial intelligence Media sources Artificial Intelligence ethics Want write? Write article join growing community 162,900 academics researchers 4,598 institutions. Editorial Policies Community standards Republishing guidelines Friends The Conversation Analytics Our feeds Donate Get newsletter Who Our charter Our team Partners funders Resource media En Espaol Privacy policy Terms conditions Corrections 20102023, The Conversation US, .
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https://thedailychronicle.in/news/2926723/artificial-intelligence-in-security-market-share-size-key-players-trends-competitive-and-regional-forecast-to-2024/
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Artificial Intelligence in Security Market Share, Size, Key Players, Trends, Competitive And Regional Forecast To 2024 – The Daily Chronicle
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Artificial Intelligence in Security Market Share, Size, Key Players, Trends, Competitive And Regional Forecast To 2024
Post author
By Saurabh Sinha
Post date
16th February 2021
Market Highlights
Increasing adoption of cloud-based solutions and services and government support and investment in research and development of artificial intelligence technology are some of the contributing factors in the creation of fruitful opportunities for the market players in the coming years. However, software and hardware security, data integrity, model security, and data privacy are some of the primary challenges faced by the players in the global artificial intelligence (AI) in security market.
As per the analysis by Market Research Future Reports (MRFR), the global artificial intelligence in the security market is likely to record 31.86% CAGR during the review period of 2019 to 2024. The current scenario across the globe, i.e., COVID-19, is believed to bring a substantial impact on global artificial intelligence in the security market. The primary factors driving the AI are the rising malware attacks, increasing adoption of IoT and cloud-based services. The non-stop growth of the adoption of Wi-Fi that is vulnerable to security threats has helped the market to propel at a high pace. The increased adoption of connected devices has also resulted in the expansion of the market. The rising inclination towards technology has opened avenues for the expansion of artifical intelligence in the security market 2020. Apart from this, the development of computing power technology has resulted in the growth of the market. The development in machine learning and deep learning technology has aided the market to propel at a global level. However, lack of expertise, the rapidly increasing corporate executive cyber threats, inability of AI to prevent the advanced threats are the key factors preventing the market from expanding.
Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/7912
Regional Analysis
By region, the artificial intelligence in security market analysis covers Asia Pacific (APAC), Europe, North America, and the Rest of the World (Row).
Intensifying political disruptions in North America is surging the need for data protection across the government sector. The necessitates tightening the security infrastructure of the region. The early adoption of robust technology such as artificial intelligence is likely to push the North America market. A high flow of capital for R&D activities dedicated to enhancing the security infrastructure of the region is expected to boost the market growth. With automation trending, the market in APAC is likely to exhibit healthy growth.
Key Players
The most important players of global artificial intelligence in security market are Symantec Corporation, Intel Corporation, Nvidia Corporation, Samsung Electronics, Google, IBM Corporation, Xilinx Inc., Cylance Inc., Micron Technologies, Inc., LexisNexis Risk Solutions Inc., Acalvio Technologies Inc., Securonix, Inc., and others.
Segmentation:
The global artificial intelligence in the security market can be segmented on the basis of deployment, technology, vertical, component, security type, and region.
On the basis of deployment, global artificial intelligence in the security market can be divided into on-cloud and on-premise. The on-premise segment is the leading segment, and the on-cloud segment is likely to record a higher CAGR during the review period.
On the basis of technology, the global artificial intelligence in the security market can be divided into natural language processing and machine learning. The ML vertical is the leading vertical at a global level.
On the basis of vertical, the global artificial intelligence in the security market can be divided into BFSI, manufacturing, healthcare, government, automotive and transportation, retail, and others.
On the basis of components, global artificial intelligence in the security market can be divided into services, software, and hardware.
On the basis of security type, global artificial intelligence in the security market can be divided into endpoint security, network security, application security, and cloud security.
On the basis of region, the global artificial intelligence in security market can be divided into Europe, North America, Asia-Pacific, and the Rest of the World (RoW).
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Artificial Intelligence Security Market Share, Size, Key Players, Trends, Competitive And Regional Forecast To 2024 The Daily Chronicle Skip content The Daily ChronicleScience, Satellite Space Daily News Menu Energy NASA Satellite Space News Market Reports for: Close search Close Menu Energy NASA Satellite Space News Market Reports Categories Coronavirus Market Reports News Artificial Intelligence Security Market Share, Size, Key Players, Trends, Competitive And Regional Forecast To 2024 Post author By Saurabh Sinha Post date 16th February 2021 Market Highlights reasing adoption cloudbased solutions servicesand government support investment research development artificial intelligence technology contributing factors creation fruitful opportunities market players coming years. However, software hardware security, data integrity, model security, data privacy primary challenges faced players global artificial intelligence AI security market. As analysis Market Research Future Reports MRFR, global artificial intelligence security market likely record 31.86 CAGR review period 2019 2024. The current scenario globe, i.e., COVID19, believed bring substantial impact global artificial intelligence security market. The primary factors driving AI rising malware attacks, increasing adoption IoT cloudbased services. The nonstop growth adoption WiFi vulnerable security threats helped market propel high pace. The increased adoption connected devices resulted expansion market. The rising inclination technology opened avenues expansion artifical intelligence security market 2020. Apart this, development computing power technology resulted growth market. The development machine learning deep learning technology aided market propel global level. However, lack expertise, rapidly increasing corporate executive cyber threats, inability AI prevent advanced threats key factors preventing market expanding. Get Free Sample @ Regional Analysis By region, artificial intelligence security market analysis covers Asia Pacific APAC, Europe, North America, Rest World Row. Intensifying political disruptions North America surging need data protection government sector. The necessitates tightening security infrastructure region. The early adoption robust technology artificial intelligence likely push North America market. A high flow capital RD activities dedicated enhancing security infrastructure region expected boost market growth. With automation trending, market APAC likely exhibit healthy growth. Key Players The important players global artificial intelligence security market Symantec Corporation, Intel Corporation, Nvidia Corporation, Samsung Electronics, Google, IBM Corporation, Xilinx ., Cylance ., Micron Technologies, ., LexisNexis Risk Solutions ., Acalvio Technologies ., Securonix, ., others. Segmentation: The global artificial intelligence security market segmented basis deployment, technology, vertical, component, security type, region. On basis deployment, global artificial intelligence security market divided oncloud onpremise. The onpremise segment leading segment, oncloud segment likely record higher CAGR review period. On basis technology, global artificial intelligence security market divided natural language processing machine learning. The ML vertical leading vertical global level. On basis vertical, global artificial intelligence security market divided BFSI, manufacturing, healthcare, government, automotive transportation, retail, others. On basis components, global artificial intelligence security market divided services, software, hardware. On basis security type, global artificial intelligence security market divided endpoint security, network security, application security, cloud security. On basis region, global artificial intelligence security market divided Europe, North America, AsiaPacific, Rest World RoW. Related Reports: Overhead Conveyor Systems By Type, By Application, By Segmentation, By Region, By Country 20152020 Global Equipment Recycling Market Statistics, CAGR, Outlook, Covid19 Impact 20202026 for: Google NewsAtomizing Nozzle Market 20202026: Global Size, Share, Key Players, Production, Growth Future InsightsBaby Rompers Market See Huge Growth 2025 : Hennes Mauritz AB, Gymboree, MIKI HOUSE, JACADIGlobal Brake Lathe Machine Market By Type, By Application, By Segmentation, By Region, By Country 2024Global Pro AV Market Top Manufacturers Analysis 2026: AVISPL, Diversified, Whitlock, AVI Systems, Ford AudioVideo etc.Satellite Live Broadcasting Network Established Pelagic FishingRUSAL 3D Aluminium Alloy Powder Succeeds SatelliteSatellite Firm Expands Glasgow BaseTurns picking oneself human finding hard spaceSome Details Regarding Satellite Low Power Wide Area Network, LPWANUmbra Raises 32 MillionKuBand Satellite Connectivity Added Ansat HelicoptersFabrisonics Ultrasonic Addictive manufactured aluminum satellite heat exchangersEast Bay Community Energy Go Green 2030Isotropic Systems raises 40 million satellite antenna aiming making new constellationsElon Musk blasts Bezos Amazon Starlink satellite internetGreen Hydrogen Renewable Energy Watch 2021CAPANET Communication GS Satcom partnership aiming rebuilding satellite software industryHope Remote Areas Residents Peru plans introduce Satellite Internet areasEgyptian Space Agency deterred program building 35 education satellitesOnOrbit Satellite Servicing Available Recent Posts Global Telecom Expense Management Services Software Market Statistics, CAGR, Outlook, Covid19 Impact 20172026. 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] | 1 | 3,154 |
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| 2020-11-11T00:00:00 |
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Global Artificial Intelligence in Energy Market Industry by Manufacturers- Artificial Intelligence in Energy are: ABB Siemens General Electric IBM Grid4C – The Daily Philadelphian
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Global Artificial Intelligence in Energy Market Industry by Manufacturers- Artificial Intelligence in Energy are: ABB Siemens General Electric IBM Grid4C – The Daily Philadelphian
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Wed. Nov 11th, 2020
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Global Artificial Intelligence in Energy Market Industry by Manufacturers- Artificial Intelligence in Energy are: ABB Siemens General Electric IBM Grid4C
Byanita_adroit
Nov 11, 2020
“Orbis Research Present’s Global Artificial Intelligence in Energy Market Segmented by Type, Application and by Geography-Trends and Forecasts (2020-2025) Major players in this industry and the key strategies adopted by them to sustain and grow in the studied market
Committed to offer highly versatile market relevant information, our team of seasoned research professionals have recently added a high-end research offering depicting real time scenario of the Global Artificial Intelligence in Energy Market.
The report also includes relevant information of all the historical market developments and events that ensured smooth growth spurt despite prevalent market challenges and fast transitioning consumer response along with volatile dynamics dominant in Global Artificial Intelligence in Energy Market.
Get a sample of the report @ https://www.orbisresearch.com/contacts/request-sample/5111715
The report is mindfully designed and presented to deliver an all-inclusive version of the detailed market study and analytical review. The report takes note of multiple parameters such as region wise developments with country-specific developments, besides highlighting dominant trends that tend to incur high-potential growth spurt in Global Artificial Intelligence in Energy Market.
In-depth primary and secondary research endeavors suggest that the Global Artificial Intelligence in Energy Market is likely to continue its high potential growth spell, visibly offsetting the growth dip in recent years owing to sudden pandemic outrage.
True to its dominant growth traits demonstrated in the previous years, the aforementioned Global Artificial Intelligence in Energy Market is likely to make a systematic and quick comeback, crossing xx million dollars, ticking a healthy CAGR valuation of xx %, through the entire growth span, 2020-25.
The Major Players Covered in Global Artificial Intelligence in Energy Market are:
The major players covered in Artificial Intelligence in Energy are:
ABB
Siemens
General Electric
IBM
Grid4C
Global Artificial Intelligence in Energy Market by Type:
By Type, Artificial Intelligence in Energy market has been segmented into:
Machine Learning
Natural Language Processing
Others
Global Artificial Intelligence in Energy Market by Application:
By Application, Artificial Intelligence in Energy has been segmented into:
Load Research & Forecasting
Transmission & Distribution
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
Read complete report @https://www.orbisresearch.com/reports/index/global-artificial-intelligence-in-energy-market-2020-by-company-regions-type-and-application-forecast-to-2025
Report Offerings and Highlights:
A well compiled, easy to understand detailed analytical presentation and pricing analysis is highlighted inclusive of product and applications as well as regional overview
A comprehensive overview and assessment of vendor landscape and other key market contributors have been enlisted
Vital detailing of investment planning, regulatory framework and novel policies have been adequately discussed.
AN exclusive demonstration and exhaustive analysis of trend assessment is a key offering of the report to aptly isolate dominant trends from the emerging ones.
A systematic illustration of growth opportunities and major growth rendering factors have been exhibited in the form of tables, graphs and charts that tend to ensure high value comprehension amongst investment enthusiast.
A close review of the vendor landscape is in place to understand growth stratification objectives of the dominant players.
For Enquiry before buying report @ https://www.orbisresearch.com/contacts/enquiry-before-buying/5111715
Key Segmentation Brief:
The next section of the report highlights veritable insights on segment stratification of the market with versatile understanding on notable segments. Identifying 2019 as the base year and 2020-25 as the forecast year, this well researched report offering also recognizes 2016-18 as the historical year. Further, elaborating on regional dimensions and holistic geographical expanse, this report isolates North and South America, Europe, MEA and APAC as core growth hotspots. The report also proceeds with unravelling crucial data on other country level developments. Further, the report also identifies type and end-use application as other relevant segments influencing uncompromised growth trail.
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Global Artificial Intelligence in Energy Market Industry by Manufacturers- Artificial Intelligence in Energy are: ABB Siemens General Electric IBM Grid4C
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Global Artificial Intelligence Energy Market Industry Manufacturers Artificial Intelligence Energy are: ABB Siemens General Electric IBM Grid4C The Daily Philadelphian Skip content Wed. Nov 11th, 2020 The Daily Philadelphian Energy News Space All news All news Global Artificial Intelligence Energy Market Industry Manufacturers Artificial Intelligence Energy are: ABB Siemens General Electric IBM Grid4C Byanita_adroit Nov 11, 2020 Orbis Research Presents Global Artificial Intelligence Energy Market Segmented Type, Application GeographyTrends Forecasts 20202025 Major players industry key strategies adopted sustain grow studied market Committed offer highly versatile market relevant information, team seasoned research professionals recently added highend research offering depicting real time scenario Global Artificial Intelligence Energy Market. The report includes relevant information historical market developments events ensured smooth growth spurt despite prevalent market challenges fast transitioning consumer response volatile dynamics dominant Global Artificial Intelligence Energy Market. Get sample report @ The report mindfully designed presented deliver allinclusive version detailed market study analytical review. The report takes note multiple parameters region wise developments countryspecific developments, highlighting dominant trends tend incur highpotential growth spurt Global Artificial Intelligence Energy Market. Indepth primary secondary research endeavors suggest Global Artificial Intelligence Energy Market likely continue high potential growth spell, visibly offsetting growth dip recent years owing sudden pandemic outrage. True dominant growth traits demonstrated previous years, aforementioned Global Artificial Intelligence Energy Market likely systematic quick comeback, crossing xx million dollars, ticking healthy CAGR valuation xx , entire growth span, 202025. The Major Players Covered Global Artificial Intelligence Energy Market are: The major players covered Artificial Intelligence Energy are: ABB Siemens General Electric IBM Grid4C Global Artificial Intelligence Energy Market Type: By Type, Artificial Intelligence Energy market segmented into: Machine Learning Natural Language Processing Others Global Artificial Intelligence Energy Market Application: By Application, Artificial Intelligence Energy segmented into: Load Research Forecasting Transmission Distribution Market segment RegionsCountries, report covers United States Europe China Japan Southeast Asia India Central South America Read complete report Report Offerings Highlights: A compiled, easy understand detailed analytical presentation pricing analysis highlighted inclusive product applications regional overview A comprehensive overview assessment vendor landscape key market contributors enlisted Vital detailing investment planning, regulatory framework novel policies adequately discussed. AN exclusive demonstration exhaustive analysis trend assessment key offering report aptly isolate dominant trends emerging ones. A systematic illustration growth opportunities major growth rendering factors exhibited form tables, graphs charts tend ensure high value comprehension investment enthusiast. A close review vendor landscape place understand growth stratification objectives dominant players. For Enquiry buying report @ Key Segmentation Brief: The section report highlights veritable insights segment stratification market versatile understanding notable segments. Identifying 2019 base year 202025 forecast year, researched report offering recognizes 201618 historical year. Further, elaborating regional dimensions holistic geographical expanse, report isolates North South America, Europe, MEA APAC core growth hotspots. The report proceeds unravelling crucial data country level developments. Further, report identifies type enduse application relevant segments influencing uncompromised growth trail. : 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 Post navigation Software Defined Radios Market Size And Analysis By Leading Manufacturers With Its Application And Types 2020 Global Block Chain Market Segmentation By Top Key Players Block Chain are: IBM Abra Microsoft Accenture AlphaPoint Intel BTL Group Microsoft Corporation Deloitte Amazon Web Services Earthport By anita_adroit Related Post All news Emi Shielding Market Segmentation Analysis Latest Trends, Development Growth Trending Regions 2020 Nov 11, 2020 mangesh All news Industrial Batteries Market Analysis Current Industry Status Growth Opportunities, Top Key Players, Target Audience Forecast 2026 Nov 11, 2020 mangesh All news Chlorine Market Analysis Product Types, Marketing Channel Development Trend, Market Effect Factors Analysis 2026 Nov 11, 2020 mangesh Recent Posts Emi Shielding Market Segmentation Analysis Latest Trends, Development Growth Trending Regions 2020 Industrial Batteries Market Analysis Current Industry Status Growth Opportunities, Top Key Players, Target Audience Forecast 2026 Chlorine Market Analysis Product Types, Marketing Channel Development Trend, Market Effect Factors Analysis 2026 Air Freshener Market Share, Growth Top Company, Geographical Region, Application, Driver, Trends Forecast 20202026 Dehydrated Vegetables Market Share, Growth, Trend Analysis And Forecast From 20202026; Consumption Capacity By Volume And Production Value You missed All news Emi Shielding Market Segmentation Analysis Latest Trends, Development Growth Trending Regions 2020 Nov 11, 2020 mangesh All news Industrial Batteries Market Analysis Current Industry Status Growth Opportunities, Top Key Players, Target Audience Forecast 2026 Nov 11, 2020 mangesh All news Chlorine Market Analysis Product Types, Marketing Channel Development Trend, Market Effect Factors Analysis 2026 Nov 11, 2020 mangesh All news Air Freshener Market Share, Growth Top Company, Geographical Region, Application, Driver, Trends Forecast 20202026 Nov 11, 2020 mangesh The Daily Philadelphian Proudly powered WordPress Theme: Newsup Themeansar. 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https://theenterpriseleader.com/2021/11/20/first-trust-nasdaq-artificial-intelligence-and-robotics-etf-nysearcarobt-stock-price-down-0-2.html
| 2021-11-20T00:00:00 |
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First Trust Nasdaq Artificial Intelligence and Robotics ETF (NYSEARCA:ROBT) Stock Price Down 0.2% - Enterprise Leader
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First Trust Nasdaq Artificial Intelligence and Robotics ETF (NYSEARCA:ROBT) Stock Price Down 0.2% - Enterprise Leader
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First Trust Nasdaq Artificial Intelligence and Robotics ETF (NYSEARCA:ROBT) Stock Price Down 0.2%
Posted by Jeanne O'Marion on Nov 20th, 2021
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First Trust Nasdaq Artificial Intelligence and Robotics ETF (NYSEARCA:ROBT) dropped 0.2% on Friday . The company traded as low as $56.87 and last traded at $56.96. Approximately 12,662 shares changed hands during trading, a decline of 53% from the average daily volume of 26,841 shares. The stock had previously closed at $57.07.
The business’s 50 day moving average is $55.42 and its two-hundred day moving average is $54.17.
Recommended Story: Most Active Stocks: Dollar Volume vs Share Volume
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« PREVIOUS HEADLINEFirst Trust RiverFront Dynamic Developed International ETF (NYSEARCA:RFDI) Shares Down 0.4% NEXT HEADLINE »Cathay General Bancorp (NASDAQ:CATY) Expected to Announce Quarterly Sales of $165.43 Million
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First Trust Nasdaq Artificial Intelligence and Robotics ETF (NYSEARCA:ROBT) Stock Price Down 0.2%
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First Trust Nasdaq Artificial Intelligence Robotics ETF NYSEARCA:ROBT Stock Price Down 0.2 Enterprise Leader Skip main content Home About Business Economy Health Markets Technology Home About Business Economy Health Markets Technology First Trust Nasdaq Artificial Intelligence Robotics ETF NYSEARCA:ROBT Stock Price Down 0.2 Posted Jeanne OMarion Nov 20th, 2021 Share Twitter Share Facebook Share LinkedIn Share Stocktwits First Trust Nasdaq Artificial Intelligence Robotics ETF NYSEARCA:ROBT dropped 0.2 Friday . The company traded low 56.87 traded 56.96. Approximately 12,662 shares changed hands trading, decline 53 average daily volume 26,841 shares. The stock previously closed 57.07. The businesss 50 day moving average 55.42 twohundred day moving average 54.17. Recommended Story: Most Active Stocks: Dollar Volume vs Share Volume Receive News Ratings First Trust Nasdaq Artificial Intelligence Robotics ETF Daily Enter email address receive concise daily summary latest news analysts ratings First Trust Nasdaq Artificial Intelligence Robotics ETF related companies FREE daily email newsletter. PREVIOUS HEADLINEFirst Trust RiverFront Dynamic Developed International ETF NYSEARCA:RFDI Shares Down 0.4 NEXT HEADLINE Cathay General Bancorp NASDAQ:CATY Expected Announce Quarterly Sales 165.43 Million You interested in: 441.89 Million Sales Expected Exact Sciences Co. This Quarter Onto Innovation Releases Q4 2021 Earnings Guidance Dynamite Tops One Day Trading Volume 136,095.00 UniCrypt Market Capitalization Achieves 19.65 Million Cathay General Bancorp Expected Announce Quarterly Sales 165.43 Million First Trust Nasdaq Artificial Intelligence Robotics ETF Stock Price Down 0.2 Daily Ratings News First Trust Nasdaq Artificial Intelligence Robotics ETF Complete form receive latest headlines analysts recommendations First Trust Nasdaq Artificial Intelligence Robotics ETF free daily email newsletter: Follow Recent News 441.89 Million Sales Expected Exact Sciences Co. NASDAQ:EXAS This Quarter Onto Innovation NYSE:ONTO Releases Q4 2021 Earnings Guidance Dynamite Tops One Day Trading Volume 136,095.00 DYNMT UniCrypt UNCX Market Capitalization Achieves 19.65 Million Cathay General Bancorp NASDAQ:CATY Expected Announce Quarterly Sales 165.43 Million First Trust Nasdaq Artificial Intelligence Robotics ETF NYSEARCA:ROBT Stock Price Down 0.2 Devery EVE Market Capitalization Reaches 261,335.65 First Trust Cloud Computing ETF NYSEARCA:SKYY Stock Price Down 1.1 YFIVE FINANCE YFIVE Market Capitalization Reaches 68,206.51 First Trust RiverFront Dynamic Developed International ETF NYSEARCA:RFDI Shares Down 0.4 First Trust NASDAQ 100 Equal Weighted Index Fund NYSEARCA:QQEW Trading Down 0.2 AMEPAY Price Tops 0.0135 AME MediShares Price Reaches 0.0048 Top Exchanges MDS MediShares MDS Market Cap Reaches 6.32 Million Tixl Price Reaches 0.20 Exchanges TXL Convex Finance CVX Reaches Market Cap 847.93 Million Transocean Ltd. NYSE:RIG Expected Post Quarterly Sales 651.87 Million AvidXchange Holdings NASDAQ:AVDX Expected Announce Quarterly Sales 66.06 Million Evofem Biosciences, . NASDAQ:EVFM Expected Post Quarterly Sales 2.76 Million 365.35 Million Sales Expected Cboe Global Markets, . NYSE:CBOE This Quarter Business Economy Health Markets Technology 20182021 Enterprise Leader
| 2,021 |
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https://thehill.com/homenews/ap/ap-u-s-news/ap-artificial-intelligence-is-gaining-state-lawmakers-attention-and-they-have-a-lot-of-questions/
| 2023-08-05T00:00:00 |
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Artificial intelligence is gaining state lawmakers’ attention, and they have a lot of questions | The Hill
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Artificial intelligence is gaining state lawmakers’ attention, and they have a lot of questions | The Hill
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Artificial intelligence is gaining state lawmakers’ attention, and they have a lot of questions
by SUSAN HAIGH, Associated Press - 08/05/23 12:19 AM ET
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HARTFORD, Conn. (AP) — As state lawmakers rush to get a handle on fast-evolving artificial intelligence technology, they’re often focusing first on their own state governments before imposing restrictions on the private sector.
Legislators are seeking ways to protect constituents from discrimination and other harms while not hindering cutting-edge advancements in medicine, science, business, education and more.
“We’re starting with the government. We’re trying to set a good example,” Connecticut state Sen. James Maroney said during a floor debate in May.
Connecticut plans to inventory all of its government systems using artificial intelligence by the end of 2023, posting the information online. And starting next year, state officials must regularly review these systems to ensure they won’t lead to unlawful discrimination.
Maroney, a Democrat who has become a go-to AI authority in the General Assembly, said Connecticut lawmakers will likely focus on private industry next year. He plans to work this fall on model AI legislation with lawmakers in Colorado, New York, Virginia, Minnesota and elsewhere that includes “broad guardrails” and focuses on matters like product liability and requiring impact assessments of AI systems.
“It’s rapidly changing and there’s a rapid adoption of people using it. So we need to get ahead of this,” he said in a later interview. “We’re actually already behind it, but we can’t really wait too much longer to put in some form of accountability.”
Overall, at least 25 states, Puerto Rico and the District of Columbia introduced artificial intelligence bills this year. As of late July, 14 states and Puerto Rico had adopted resolutions or enacted legislation, according to the National Conference of State Legislatures. The list doesn’t include bills focused on specific AI technologies, such as facial recognition or autonomous cars, something NCSL is tracking separately.
Legislatures in Texas, North Dakota, West Virginia and Puerto Rico have created advisory bodies to study and monitor AI systems their respective state agencies are using, while Louisiana formed a new technology and cyber security committee to study AI’s impact on state operations, procurement and policy. Other states took a similar approach last year.
Lawmakers want to know “Who’s using it? How are you using it? Just gathering that data to figure out what’s out there, who’s doing what,” said Heather Morton, a legislative analysist at NCSL who tracks artificial intelligence, cybersecurity, privacy and internet issues in state legislatures. “That is something that the states are trying to figure out within their own state borders.”
Connecticut’s new law, which requires AI systems used by state agencies to be regularly scrutinized for possible unlawful discrimination, comes after an investigation by the Media Freedom and Information Access Clinic at Yale Law School determined AI is already being used to assign students to magnet schools, set bail and distribute welfare benefits, among other tasks. However, details of the algorithms are mostly unknown to the public.
AI technology, the group said, “has spread throughout Connecticut’s government rapidly and largely unchecked, a development that’s not unique to this state.”
Richard Eppink, legal director of the American Civil Liberties Union of Idaho, testified before Congress in May about discovering, through a lawsuit, the “secret computerized algorithms” Idaho was using to assess people with developmental disabilities for federally funded health care services. The automated system, he said in written testimony, included corrupt data that relied on inputs the state hadn’t validated.
AI can be shorthand for many different technologies, ranging from algorithms recommending what to watch next on Netflix to generative AI systems such as ChatGPT that can aid in writing or create new images or other media. The surge of commercial investment in generative AI tools has generated public fascination and concerns about their ability to trick people and spread disinformation, among other dangers.
Some states haven’t attempted to tackle the issue yet. In Hawaii, state Sen. Chris Lee, a Democrat, said lawmakers didn’t pass any legislation this year governing AI “simply because I think at the time, we didn’t know what to do.”
Instead, the Hawaii House and Senate passed a resolution Lee proposed that urges Congress to adopt safety guidelines for the use of artificial intelligence and limit its application in the use of force by police and the military.
Lee, vice-chair of the Senate Labor and Technology Committee, said he hopes to introduce a bill in next year’s session that is similar to Connecticut’s new law. Lee also wants to create a permanent working group or department to address AI matters with the right expertise, something he admits is difficult to find.
“There aren’t a lot of people right now working within state governments or traditional institutions that have this kind of experience,” he said.
The European Union is leading the world in building guardrails around AI. There has been discussion of bipartisan AI legislation in Congress, which Senate Majority Leader Chuck Schumer said in June would maximize the technology’s benefits and mitigate significant risks.
Yet the New York senator did not commit to specific details. In July, President Joe Biden announced his administration had secured voluntary commitments from seven U.S. companies meant to ensure their AI products are safe before releasing them.
Maroney said ideally the federal government would lead the way in AI regulation. But he said the federal government can’t act at the same speed as a state legislature.
“And as we’ve seen with the data privacy, it’s really had to bubble up from the states,” Maroney said.
Some state-level bills proposed this year have been narrowly tailored to address specific AI-related concerns. Proposals in Massachusetts would place limitations on mental health providers using AI and prevent “dystopian work environments” where workers don’t have control over their personal data. A proposal in New York would place restrictions on employers using AI as an “automated employment decision tool” to filter job candidates.
North Dakota passed a bill defining what a person is, making it clear the term does not include artificial intelligence. Republican Gov. Doug Burgum, a long-shot presidential contender, has said such guardrails are needed for AI but the technology should still be embraced to make state government less redundant and more responsive to citizens.
In Arizona, Democratic Gov. Katie Hobbs vetoed legislation that would prohibit voting machines from having any artificial intelligence software. In her veto letter, Hobbs said the bill “attempts to solve challenges that do not currently face our state.”
In Washington, Democratic Sen. Lisa Wellman, a former systems analyst and programmer, said state lawmakers need to prepare for a world in which machine systems become ever more prevalent in our daily lives.
She plans to roll out legislation next year that would require students to take computer science to graduate high school.
“AI and computer science are now, in my mind, a foundational part of education,” Wellman said. “And we need to understand really how to incorporate it.”
___
Associated Press Writers Audrey McAvoy in Honolulu, Ed Komenda in Seattle and Matt O’Brien in Providence, Rhode Island, contributed to this report.
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Artificial intelligence gaining state lawmakers attention, lot questions The Hill Skip content Toggle Menu Open Navigation Close Navigation Close search form News Senate House Administration Courts Campaign 2024 Elections Health Care Media Education Latino LGBTQ Race Politics State Watch In The Know Changing America People News Print Edition Policy Defense Energy Environment Health Care Technology Transportation International Cybersecurity National Security Space Sustainability Business All business news Budget Economy Personal finance Housing Lobbying Taxes Trade Health Opinion Columnists Congress Blog All Contributors Campaign Civil Rights Criminal Justice Cybersecurity Education Energy Environment Finance Healthcare Immigration International Judiciary National Security Technology White House Submit Opinion Content Events Upcoming Events About Jobs The Hill Jobs National Jobs Hill TV Newsletters Sign Morning Report 12:30 Report Business Economy Defense Health Care Campaign Report Technology Energy Environment Sustainability Sign latest Newsletter Sign Up trendingcolon; Kevin McCarthy 2024 Elections Mitch McConnell sponsoredcolon; Content IASIC Cannabis Content ATT Just In... Congress looks rein college sports: What knowabout legislation House 13m 44s ago Trumps Jan. 6 legal defense comes focus Court Battles 1h 3m ago How Trumps legal woes affect future presidency News 1h 3m ago DOJ prosecutors request gag order Trump arraignment, citing social media threats Court Battles 8h 9m ago North Carolina lawmaker suffered broken sternum, foot wreck House 8h 18m ago Former White House press secretary Trump threats: How intimidation? Blog Briefing Room 8h 20m ago Wisconsin judge orders release records fake elector State Watch 8h 30m ago Trial possible Rust shooting case armorer waives right hearing Blog Briefing Room 8h 34m ago View Load AP U.S. Artificial intelligence gaining state lawmakers attention, lot questions SUSAN HAIGH, Associated Press 080523 12:19 AM ET Facebook Share Twitter Tweet ... More SUSAN HAIGH, Associated Press 080523 12:19 AM ET Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email HARTFORD, Conn. AP As state lawmakers rush handle fastevolving artificial intelligence technology, theyre focusing state governments imposing restrictions private sector. Legislators seeking ways protect constituents discrimination harms hindering cuttingedge advancements medicine, science, business, education more. Were starting government. Were trying set good example, Connecticut state Sen. James Maroney said floor debate May. Connecticut plans inventory government systems artificial intelligence end 2023, posting information online. And starting year, state officials regularly review systems ensure wont lead unlawful discrimination. Maroney, Democrat goto AI authority General Assembly, said Connecticut lawmakers likely focus private industry year. He plans work fall model AI legislation lawmakers Colorado, New York, Virginia, Minnesota includes broad guardrails focuses matters like product liability requiring impact assessments AI systems. Its rapidly changing theres rapid adoption people it. So need ahead this, said later interview. Were actually it, wait longer form accountability. Overall, 25 states, Puerto Rico District Columbia introduced artificial intelligence bills year. As late July, 14 states Puerto Rico adopted resolutions enacted legislation, according National Conference State Legislatures. The list doesnt include bills focused specific AI technologies, facial recognition autonomous cars, NCSL tracking separately. Legislatures Texas, North Dakota, West Virginia Puerto Rico created advisory bodies study monitor AI systems respective state agencies using, Louisiana formed new technology cyber security committee study AIs impact state operations, procurement policy. Other states took similar approach year. Lawmakers want know Whos it? How it? Just gathering data figure whats there, whos what, said Heather Morton, legislative analysist NCSL tracks artificial intelligence, cybersecurity, privacy internet issues state legislatures. That states trying figure state borders. Connecticuts new law, requires AI systems state agencies regularly scrutinized possible unlawful discrimination, comes investigation Media Freedom Information Access Clinic Yale Law School determined AI assign students magnet schools, set bail distribute welfare benefits, tasks. However, details algorithms unknown public. AI technology, group said, spread Connecticuts government rapidly largely unchecked, development thats unique state. Richard Eppink, legal director American Civil Liberties Union Idaho, testified Congress May discovering, lawsuit, secret computerized algorithms Idaho assess people developmental disabilities federally funded health care services. The automated system, said written testimony, included corrupt data relied inputs state hadnt validated. AI shorthand different technologies, ranging algorithms recommending watch Netflix generative AI systems ChatGPT aid writing create new images media. The surge commercial investment generative AI tools generated public fascination concerns ability trick people spread disinformation, dangers. Some states havent attempted tackle issue yet. In Hawaii, state Sen. Chris Lee, Democrat, said lawmakers didnt pass legislation year governing AI simply I think time, didnt know do. Instead, Hawaii House Senate passed resolution Lee proposed urges Congress adopt safety guidelines use artificial intelligence limit application use force police military. Lee, vicechair Senate Labor Technology Committee, said hopes introduce years session similar Connecticuts new law. Lee wants create permanent working group department address AI matters right expertise, admits difficult find. There arent lot people right working state governments traditional institutions kind experience, said. The European Union leading world building guardrails AI. There discussion bipartisan AI legislation Congress, Senate Majority Leader Chuck Schumer said June maximize technologys benefits mitigate significant risks. Yet New York senator commit specific details. In July, President Joe Biden announced administration secured voluntary commitments seven U.S. companies meant ensure AI products safe releasing them. Maroney said ideally federal government lead way AI regulation. But said federal government act speed state legislature. And weve seen data privacy, bubble states, Maroney said. Some statelevel bills proposed year narrowly tailored address specific AIrelated concerns. Proposals Massachusetts place limitations mental health providers AI prevent dystopian work environments workers dont control personal data. A proposal New York place restrictions employers AI automated employment decision tool filter job candidates. North Dakota passed defining person is, making clear term include artificial intelligence. Republican Gov. Doug Burgum, longshot presidential contender, said guardrails needed AI technology embraced state government redundant responsive citizens. In Arizona, Democratic Gov. Katie Hobbs vetoed legislation prohibit voting machines artificial intelligence software. In veto letter, Hobbs said attempts solve challenges currently face state. In Washington, Democratic Sen. Lisa Wellman, systems analyst programmer, said state lawmakers need prepare world machine systems prevalent daily lives. She plans roll legislation year require students science graduate high school. AI science now, mind, foundational education, Wellman said. And need understand incorporate it. ___ Associated Press Writers Audrey McAvoy Honolulu, Ed Komenda Seattle Matt OBrien Providence, Rhode Island, contributed report. Tags 2023 The Associated Press. . This material published, broadcast, rewritten redistributed. Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email More AP U.S. News See All AP U.S. A judge ruled Texas abortion ban restrictive women pregnancy complications PAUL J. 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| 2,023 |
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] | 1 | 3,157 |
https://thehill.com/homenews/senate/4041121-senators-eye-ai-competitiveness-in-bipartisan-legislation/
| 2023-06-09T00:00:00 |
en
|
Senators eye AI competitiveness in bipartisan legislation | The Hill
|
Senators eye AI competitiveness in bipartisan legislation | The Hill
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Senators eye AI competitiveness in bipartisan legislation
by Jared Gans - 06/08/23 4:00 PM ET
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Sens. Mark Warner (D-Va.), Michael Bennet (R-Colo.) and Todd Young (R-Ind.) (AP Photo/J. Scott Applewhite/David Zalubowski/Darron Cummings, Pool/Illustration from Adobe Stock Image)
A bipartisan group of senators have introduced a bill that would create a new office that analyzes U.S. strength in emerging technologies, such as artificial intelligence (AI), compared to the country’s competitors, such as China.
Sens. Michael Bennet (D-Colo.), Todd Young (R-Ind.) and Mark Warner (D-Va.) introduced the legislation Thursday calling for the establishment of an Office of Global Competition Analysis.
A release from from Bennet states that the office would assess technological competitiveness based on intelligence and commercial data, which it said are too often separated into intelligence and civilian agencies, respectively.
The statement also argues that the separation has often left the U.S. unaware of its capacity in certain technologies — such as 5G and semiconductors — compared to other countries, and understanding the entire ecosystem is essential to seeing the threats and technologies from the technologies.
“We cannot afford to lose our competitive edge in strategic technologies like semiconductors, quantum computing, and artificial intelligence to competitors like China,” Bennet said. “To defend our economic and national security and protect U.S. leadership in critical emerging technologies, we need to be able to take into account both classified and commercial information to fully assess where we stand.”
A summary of the bill states that the office would be composed of experts from the intelligence community, the Commerce, Defense and Treasury departments and other relevant agencies. It also states that experts from the private sector and academia would be involved based on the project.
Young said in the release that the bill will ensure the national security community is in sync in order to win the “technological race” against China.
Warner said the U.S. has made significant investments in economic sectors such as semiconductor manufacturing in recent years, but it must be able to track its progress against its peers.
“I’m proud to join this bipartisan effort to create a centralized hub that’s responsible for keeping tabs on these developments, which are critical to our economic and national security,” he said.
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Bennet also told NBC News in an interview that he has discussed the bill with members of Senate Majority Leader Chuck Schumer’s (D-N.Y.) office and believes the legislation has a “high likelihood” of passing.
The legislation follows multiple Capitol Hill hearings on AI in recent weeks as lawmakers have been increasingly turning their attention to the emerging technology, calling for action to manage its risks and ensure it is benefiting society.
Rep. Ritchie Torres (D-N.Y.) announced last week that he plans to introduce a bill to require disclaimers on all content produced by AI.
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Senators eye AI competitiveness bipartisan legislation The Hill Skip content Toggle Menu Open Navigation Close Navigation Close search form News Senate House Administration Courts Campaign 2024 Elections Health Care Media Education Latino LGBTQ Race Politics State Watch In The Know Changing America People News Print Edition Policy Defense Energy Environment Health Care Technology Transportation International Cybersecurity National Security Space Sustainability Business All business news Budget Economy Personal finance Housing Lobbying Taxes Trade Opinion Columnists Congress Blog All Contributors Campaign Civil Rights Criminal Justice Cybersecurity Education Energy Environment Finance Healthcare Immigration International Judiciary National Security Technology White House Submit Opinion Content Events Upcoming Events About Jobs The Hill Jobs National Jobs Hill TV Newsletters Sign Morning Report 12:30 Report Business Economy Defense Health Care Campaign Report Technology Energy Environment Sustainability Sign latest Newsletter Sign Up trendingcolon; Debt ceiling 2024 Elections RussiaUkraine war sponsoredcolon; Content IASIC Cannabis Content ATT Just In... Ukraine claims evidence Russia blew Dnieper River dam Defense 26s ago We tried improve COVID vaccine labelingthe FDA said thanks Healthcare 3m 2s ago Oregon man boobytrapped house rolling hot tub, rigged wheelchair fired shotgun FBI technician, officials Blog Briefing Room 9m 54s ago Why Ukraines fate depend Americas fear Chinas military Opinion 33m 2s ago Trump admits tape didnt declassify secret information: CNN Court Battles 44m 22s ago Trump indictment: What happens case, campaign plans Court Battles 45m 21s ago Heres know 7 counts Trump facing classified documents indictment Court Battles 56m 8s ago The tragic intersection war Ukraine battle climate change Energy Environment 1h 3m ago View Load Senate Senators eye AI competitiveness bipartisan legislation Jared Gans 060823 4:00 PM ET Facebook Share Twitter Tweet ... More Jared Gans 060823 4:00 PM ET Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email Sens. Mark Warner DVa., Michael Bennet RColo. Todd Young RInd. AP PhotoJ. Scott ApplewhiteDavid ZalubowskiDarron Cummings, PoolIllustration Adobe Stock Image A bipartisan group senators introduced create new office analyzes U.S. strength emerging technologies, artificial intelligence AI, compared countrys competitors, China. Sens. Michael Bennet DColo., Todd Young RInd. Mark Warner DVa. introduced legislation Thursday calling establishment Office Global Competition Analysis. A release Bennet states office assess technological competitiveness based intelligence commercial data, said separated intelligence civilian agencies, respectively. The statement argues separation left U.S. unaware capacity certain technologies 5G semiconductors compared countries, understanding entire ecosystem essential seeing threats technologies technologies. We afford lose competitive edge strategic technologies like semiconductors, quantum computing, artificial intelligence competitors like China,Bennet said.To defend economic national security protect U.S. leadership critical emerging technologies, need able account classified commercial information fully assess stand. A summary states office composed experts intelligence community, Commerce, Defense Treasury departments relevant agencies. It states experts private sector academia involved based project. Young said release ensure national security community sync order win technological race China. Warner said U.S. significant investments economic sectors semiconductor manufacturing recent years, able track progress peers. Im proud join bipartisan effort create centralized hub thats responsible keeping tabs developments, critical economic national security, said. Trump indictment: What happens case, campaign plans Mexico explore legal diplomatic measures Floridas migrant flights Bennet told NBC News interview discussed members Senate Majority Leader Chuck Schumers DN.Y. office believes legislation high likelihood passing. The legislation follows multiple Capitol Hill hearings AI recent weeks lawmakers increasingly turning attention emerging technology, calling action manage risks ensure benefiting society. Rep. Ritchie Torres DN.Y. announced week plans introduce require disclaimers content produced AI. Tags AI Artificial Intelligence China competitiveness Chuck Schumer Mark Warner Michael Bennet Todd Young 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Facebook Share Twitter Tweet ... 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https://thelogicalindian.com/health/study-using-ai-reveals-over-10-million-indians-likely-have-dementia-40579
| 2023-03-10T00:00:00 |
en
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Understanding Health With Modern Tech! Study Using AI Reveals Over 10 Million Indians Likely Have Dementia
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Understanding Health With Modern Tech! Study Using AI Reveals Over 10 Million Indians Likely Have Dementia Pitch A StoryBe Energy IndependentHelping True HeroesSustainabilityResponsible BusinessSmall Medium BusinessSustainabilityResponsible BusinessSmall Medium BusinessContact UsPitch A StoryBe Energy IndependentHelping True HeroesSustainabilityResponsible BusinessSmall Medium Business All section CloseExplore CategoriesAdivasi RightsCaste DiscriminationEducationEnvironmentFact CheckGenderGood GovernanceHealthcareHuman RightsHuman-interestInclusivityLGBTQ+Mental HealthMy StoryNortheast IndiaProtest and InjusticeResponsible BusinessRural IndiaSportsSustainabilityTrendingUpliftingAgrarian DistressAgricultureCrimeDefenceEconomicsFinanceForeign AffairsHistoryInterviewInvestigationLawNational SecurityPoliticsPublic PolicyScienceTechnologyWelfare SchemesSmall Medium BusinessExplore TagsCaste discriminationImage Credits: Unsplash, Global Giving (Representative)HealthThe Logical Indian CrewUnderstanding Health With Modern Tech! Study Using AI Reveals Over 10 Million Indians Likely Have Dementia Writer: Laxmi Mohan Kumar Laxmi Mohan Kumar Digital JournalistShe is an aspiring journalist in the process of learning and unlearning many things. Always up for discussions on everything from popular culture to politics.See article by Laxmi Mohan KumarOthers/World, 10 March 2023 6:33 AM GMT | Updated 10 March 2023 7:12 AM GMTcheck update historyEditor : Ankita Singh | Ankita SinghSenior Digital Editor A literature lover who likes delving deeper into a wide range of societal issues and expresses her opinions about the same. Keeps looking for best-read recommendations while enjoying her coffee and tea.See article by Ankita SinghCreatives : Laxmi Mohan KumarLaxmi Mohan KumarDigital Journalist She is an aspiring journalist in the process of learning and unlearning many things. Always up for discussions on everything from popular culture to politics.See article by Laxmi Mohan KumarCo-author of the study, Haomiao Jin commented that "AI has a unique strength in interpreting large and complex data like this, and our research found that the prevalence of dementia may be higher than prior estimates from local samples."FacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkAs per a 2022 study on the Global Burden of Disease published in the Lancet Public Health, the cases of dementia are expected to surge by 166 per cent globally. From 57 million in 2019, about 153 million people are predicted to be affected by the disease in 2050. A recent study published in the journal Neuroepidemiology points toward the growing number of cases and also sheds light on the prevalence of dementia among Indian adults. More than ten million Indians aged 60 or above may have dementia, which is comparable to the rates seen in countries such as the United States and the United Kingdom. The study is also notable as it is a first-of-its-kind that utilised artificial intelligence (AI) tools to study a global health concern. Prevalent Among Adult WomenThe first-of-its-kind study used an AI technique known as semi-supervised machine learning to analyse data from aroud 31,477 adults. Talking about the sampling and analysis, Haomiao Jin, co-author of the study and Lecturer at the University of Surrey, said, "Our research was based on the first and only nationally representative ageing study in India with more than 30,000 participating older adults in the country." Based on the sampling and data, the international team of researchers found that the prevalence rate of dementia in adults aged 60 or over could be 8.44 per cent in India. This equates to about 10.08 million older adults in the country. The study also found that dementia was significantly prevalent among females who lived in rural regions and received no education. Dementia is a group of symptoms that affect an individual's memory, thinking, and social abilities. This severely interferes with their daily life and functioning. Alzheimer's disease, a progressive neurologic disorder that shrinks the brain and could lead the brain cells to die, is one of the most common types of dementia. Some leading causes of dementia include ageing, hypertension, diabetes, and high cholesterol.Utilizing Modern TechnologyAs per a Global Burden of Disease study, the cases of dementia are expected to rise from 57 million to 153 million worldwide from 2019 to 2050. The research team from the University of Southern California, University of Surrey, University of Michigan, and All India Institute of Medical Sciences, developed an AI learning model to understand this health concern better. Jin commented, "AI has a unique strength in interpreting large and complex data like this, and our research found that the prevalence of dementia may be higher than prior estimates from local samples."According to a report by New Indian Express, the model was trained on data, which consisted a labelled dataset of 70 per cent with dementia diagnoses from a novel online consensus. The remaining 30 per cent of data is said to be reserved as a test set to assess the AI's predictive accuracy. The researchers believe that AI and other modern tech bring huge potential to discover patterns in complex data. It has aided researchers in improving the understanding of how diseases impact people across different communities to support the development of precise medical interventions to save lives.Also Read: In A First! Scotland Prohibits Use Of Anaesthetics After Study Reveals It To Be 2,500 Times More Harmful Than CO2Contributors Suggest CorrectionWriter : Laxmi Mohan Kumar, Editor : Ankita Singh, Creatives : Laxmi Mohan KumarWrite FeedbackArtificial Intelligence Dementia Indian adults Research Study Global Health concern FacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkMust Reads Similar Posts We are an independent and public-spirited digital media platform for Indian millennials. We report news and issues that matter as well as give you the opportunity to take action. About Us About Fact Checking Values Ownership & Funding Team Impact Events Testimonials Grievance Redressal Ethics Policy Fact-Checking Policy Corrections Policy Branded Sponsored Content Policy Non Partisanship Refund Policy Absolute Editorial Independence Content Submission Terms Contact Us Pitch A story © 2023 The Logical Indian. All rights reserved. Powered By Hocalwire Designed by 3 Minds Digital Terms | Privacy XXWe use cookies for analytics, advertising and to improve our site. You agree to our use of cookies by continuing to use our site. To know more, see our Cookie Policy and Cookie Settings.Ok
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Understanding Health With Modern Tech! Study Using AI Reveals Over 10 Million Indians Likely Have Dementia
|
Understanding Health With Modern Tech Study Using AI Reveals Over 10 Million Indians Likely Have Dementia Pitch A StoryBe Energy IndependentHelping True HeroesSustainabilityResponsible BusinessSmall Medium BusinessSustainabilityResponsible BusinessSmall Medium Business UsPitch A StoryBe Energy IndependentHelping True HeroesSustainabilityResponsible BusinessSmall Medium Business All section CloseExplore CategoriesAdivasi RightsCaste DiscriminationEducationEnvironmentFact CheckGenderGood GovernanceHealthcareHuman RightsHumaninterestlusivityLGBTQMental HealthMy StoryNortheast IndiaProtest InjusticeResponsible BusinessRural IndiaSportsSustainabilityTrendingUpliftingAgrarian DistressAgricultureCrimeDefenceEconomicsFinanceForeign AffairsHistoryInterviewInvestigationLawNational SecurityPoliticsPublic PolicyScienceTechnologyWelfare SchemesSmall Medium BusinessExplore TagsCaste discriminationImage Credits: Unsplash, Global GivingRepresentativeHealthThe Logical Indian CrewUnderstanding Health With Modern Tech Study Using AI Reveals Over 10 Million Indians Likely Have Dementia Writer: Laxmi Mohan Kumar Laxmi Mohan Kumar Digital JournalistShe aspiring journalist process learning unlearning things. Always discussions popular culture politics.See article Laxmi Mohan KumarOthersWorld, 10 March 2023 6:33 AM GMT Updated 10 March 2023 7:12 AM GMTcheck update historyEditor : Ankita SinghAnkita SinghSenior Digital Editor A literature lover likes delving deeper wide range societal issues expresses opinions same. Keeps looking bestread recommendations enjoying coffee tea.See article Ankita SinghCreatives : Laxmi Mohan KumarLaxmi Mohan KumarDigital Journalist She aspiring journalist process learning unlearning things. Always discussions popular culture politics.See article Laxmi Mohan KumarCoauthor study, Haomiao Jin commented AI unique strength interpreting large complex data like this, research prevalence dementia higher prior estimates local samples.FacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkAs 2022 study Global Burden Disease published Lancet Public Health, cases dementia expected surge 166 cent globally. From 57 million 2019, 153 million people predicted affected disease 2050. A recent study published journal Neuroepidemiology points growing number cases sheds light prevalence dementia Indian adults. More million Indians aged 60 dementia, comparable rates seen countries United States United Kingdom. The study notable firstofitskind utilised artificial intelligence AI tools study global health concern. Prevalent Among Adult WomenThe firstofitskind study AI technique known semisupervised machine learning analyse data aroud 31,477 adults. Talking sampling analysis, Haomiao Jin, coauthor study Lecturer University Surrey, said, Our research based nationally representative ageing study India 30,000 participating older adults country. Based sampling data, international team researchers prevalence rate dementia adults aged 60 8.44 cent India. This equates 10.08 million older adults country. The study dementia significantly prevalent females lived rural regions received education. Dementia group symptoms affect individuals memory, thinking, social abilities. This severely interferes daily life functioning. Alzheimers disease, progressive neurologic disorder shrinks brain lead brain cells die, common types dementia. Some leading causes dementia include ageing, hypertension, diabetes, high cholesterol.Utilizing Modern TechnologyAs Global Burden Disease study, cases dementia expected rise 57 million 153 million worldwide 2019 2050. The research team University Southern California, University Surrey, University Michigan, All India Institute Medical Sciences, developed AI learning model understand health concern better. Jin commented, AI unique strength interpreting large complex data like this, research prevalence dementia higher prior estimates local samples.According report New Indian Express, model trained data, consisted labelled dataset 70 cent dementia diagnoses novel online consensus. The remaining 30 cent data said reserved test set assess AIs predictive accuracy. The researchers believe AI modern tech bring huge potential discover patterns complex data. It aided researchers improving understanding diseases impact people different communities support development precise medical interventions save lives.Also Read: In A First Scotland Prohibits Use Of Anaesthetics After Study Reveals It To Be 2,500 Times More Harmful Than CO2Contributors Suggest CorrectionWriter : Laxmi Mohan Kumar, Editor : Ankita Singh, Creatives : Laxmi Mohan KumarWrite FeedbackArtificial IntelligenceDementiaIndian adultsResearch StudyGlobal Health concernFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkFacebookTwitterWhatsappTelegramLinkedinEmailPrintkoolinkMust Reads Similar Posts We independent publicspirited digital media platform Indian millennials. We report news issues matter opportunity action. About Fact Checking Values Ownership Funding Team Impact Events Testimonials Grievance Redressal Ethics Policy FactChecking Policy Corrections Policy Branded Sponsored Content Policy Non Partisanship Refund Policy Absolute Editorial Independence Content Submission Terms Us Pitch A story 2023 The Logical Indian. . Powered By Hocalwire Designed 3 Minds Digital Terms Privacy XXWe use cookies analytics, advertising improve site. You agree use cookies continuing use site. To know more, Policy Settings.Ok
| 2,023 |
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https://themarketeagle.com/2021/04/23/global-artificial-intelligence-in-manufacturing-market-2020-2026-latest-covid19-impact-analysis-know-about-brand-players-siemens-intel-corporation-nvidia-corporation-alphabet-ibm-corporatio/
| 2021-04-23T00:00:00 |
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Global Artificial Intelligence in Manufacturing Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation – The Market Eagle
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Global Artificial Intelligence in Manufacturing Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation – The Market Eagle
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Global Artificial Intelligence in Manufacturing Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation
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The Global Artificial Intelligence in Manufacturing Market research report covers various industry dynamics and tendencies that helps in the market growth. Along with this, the research report also offers the latest industry data, future trends, products and end-users revenue growth and effectiveness, which is also by the manufacturers for the growth of the global Artificial Intelligence in Manufacturing market. Moreover, this market research report study also provides various market drivers, restrains, future opportunities, limitations and challenges that helps in the growth of the global Artificial Intelligence in Manufacturing market. The data or information that is required for the research report study of the Artificial Intelligence in Manufacturing market is collected with helps of various research tools like SWOT analysis, PESTAL analysis, Poster’s Five Forces analysis and other competitive analysis.
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The comprehensive list of Key Market Players along with their market overview, product protocol, key highlights, key financial issues, SWOT analysis, and business strategies: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation, Microsoft Corporation, General Electric Company, DataRPM, Sight Machine, General Vision, AIBrain, Rockwell, Automation, Cisco Systems, Mitsubishi Electric Corporation, Oracle Corporation, SAP SE, Preferred Networks, Vicarious, Skymind, Citrine Informatics, CloudMinds Technologies, Ubtech Robotics
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In addition to this, the marker research report also comprises of recent market strategies that are used by the key market players and also provides the survey on the present market development and technological evolutions. This survey includes detailed analysis of the global competitive industrial structure and the information about the current and future technological advancements and development. Also, the survey includes the opportunities and encounters that are faced by the major players of the global Artificial Intelligence in Manufacturing market. Hence, this data will extensively help the manufacturers to include and update various business plans and strategies that will help in the growth of the Artificial Intelligence in Manufacturing market.
Furthermore, the Artificial Intelligence in Manufacturing market report also provides major strategic examination, growth summarized studies, key driving factors and opportunities of the market, which helps to evaluate the Artificial Intelligence in Manufacturing market and other significant details that are related to the Artificial Intelligence in Manufacturing market. The research report study also helps to reveal accurate stats of the industry, which represents ultimate pattern of the global Artificial Intelligence in Manufacturing market and contains various types, applications, market growth structure and opportunities. Moreover, the market research report study also provides an exploration and analysis of the past and current performance of the regional market, which includes divisional and sub-divisional geographies. This regional analysis explores various important market parameters like growth rate of the Artificial Intelligence in Manufacturing market in each of the regions, manufacturing volume and capacity, market demand and supply and its return on investments (RoI).
Additionally, the statistical and numerical data provided in the research report is segregated in the tabular, graphical and charts format, which eases the understanding of facts and figures. The Artificial Intelligence in Manufacturing market research report provides forecasted data from the year 2020-2027 and historical data from the year 2015-2019, by considering 2019 as the base year. This study also discusses market share estimates, market size, current industry trends and profiling of Artificial Intelligence in Manufacturing market key players.
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USD xx.xx million (click here for value)
The revenue forecast in 2028
USD xx.xx million (click here for value)
Growth Rate
CAGR of xx.xx% from 2020 to 2028 (click here for value)
The base year for estimation
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Revenue in USD million and CAGR from 2020 to 2028
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Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered
Component, Types, Applications, End-Users, and more.
Top Manufacturers
Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation, Microsoft Corporation, General Electric Company, DataRPM, Sight Machine, General Vision, AIBrain, Rockwell, Automation, Cisco Systems, Mitsubishi Electric Corporation, Oracle Corporation, SAP SE, Preferred Networks, Vicarious, Skymind, Citrine Informatics, CloudMinds Technologies, Ubtech Robotics
Product Types
Deep Learning, Computer Vision, Context Awareness, Natural Language Processing
Application Types
Semiconductor and Electronics, Energy and Power, Pharmaceuticals, Automobile, Heavy Metals and Machine Manufacturing, Food and Beverages, Others (Textiles & Aerospace)
Regional Scope
North America, Europe, Asia Pacific, Latin America, Middle East and Africa
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Type Segmentation of the Global Artificial Intelligence in Manufacturing Market:
The type analysis of the Artificial Intelligence in Manufacturing market provides comprehensive information about its competitors, their activities, customer experiences and market emerging trends, which helps the marketers to introduce new product in the market and to investigate the behavior of the target market.
Deep Learning
Computer Vision
Context Awareness
Natural Language Processing
Application Segmentation of the Global Artificial Intelligence in Manufacturing Market:
The application analysis of the Artificial Intelligence in Manufacturing market provides an overview that how the applications interact with the desired functions in the market.
Semiconductor and Electronics
Energy and Power
Pharmaceuticals
Automobile
Heavy Metals and Machine Manufacturing
Food and Beverages
Others (Textiles & Aerospace)
Regional Analysis for Global Artificial Intelligence in Manufacturing Market:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, and Rest of Europe)
Asia Pacific (China, Japan, India, Russia, and Rest of Asia Pacific)
Latin America (Cuba, Brazil, Argentina, and Rest of Latin America)
Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)
Access Full Report, here: https://www.zealinsider.com/report/127385/artificial-intelligence-in-manufacturing-market
Major points that are covered in the Artificial Intelligence in Manufacturing market report are:
The report offers competitive landscape and various market strategies of the key market players and their product offerings
The report provides historic data up to 2019, and forecast data from 2020 to 2027 for the global Artificial Intelligence in Manufacturing market.
SWOT analysis for all the key players that are mentioned in the research report
The report also covers PESTAL analysis and Potter’s Five Forces analysis for the global Artificial Intelligence in Manufacturing market.
The report also provides detail information about the key manufacturers, Artificial Intelligence in Manufacturing manufacturing cost structure, and major raw materials suppliers.
The report covers detailed overview of the Covid-19 impact on the global Artificial Intelligence in Manufacturing market
Detailed information about drivers, opportunities, and restraints of the Artificial Intelligence in Manufacturing market
The report provides a competitive analysis regarding Artificial Intelligence in Manufacturing market and key product segments of a market
Buy single user with discounted price now: https://www.zealinsider.com/checkout?reportId=127385&&usert=su
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We at Zeal Insider aim to be global leaders in qualitative and predictive analysis as we put ourselves in the front seat for identifying worldwide industrial trends and opportunities and mapping them out for you on a silver platter. We specialize in identifying the calibers of the market’s robust activities and constantly pushing out the areas which allow our clientele base in making the most innovative, optimized, integrated and strategic business decisions in order to put them ahead of their competition by leaps and bounds. Our researchers achieve this mammoth of a task by conducting sound research through many data points scattered through carefully placed equatorial regions.
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Global Artificial Intelligence in Manufacturing Market (2020-2026)
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Global Artificial Intelligence Manufacturing Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation The Market Eagle Skip content Fri. Apr 23rd, 2021 The Market Eagle News Energy News Space All News All News Global Artificial Intelligence Manufacturing Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation Byfrankvaladez Apr 23, 2021 The Global Artificial Intelligence Manufacturing Market research report covers industry dynamics tendencies helps market growth. Along this, research report offers latest industry data, future trends, products endusers revenue growth effectiveness, manufacturers growth global Artificial Intelligence Manufacturing market. Moreover, market research report study provides market drivers, restrains, future opportunities, limitations challenges helps growth global Artificial Intelligence Manufacturing market. The data information required research report study Artificial Intelligence Manufacturing market collected helps research tools like SWOT analysis, PESTAL analysis, Posters Five Forces analysis competitive analysis. Pandemic offer customers: Purchase Report availing 10 Discount free consultation. Limited period offer. Get Sample Copy This Report @ Licence Type Discounted Price Single User 2300 Buy Now Multi User 2300 Buy Now Corporate User 2300 Buy Now The comprehensive list Key Market Players market overview, product protocol, key highlights, key financial issues, SWOT analysis, business strategies:Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation, Microsoft Corporation, General Electric Company, DataRPM, Sight Machine, General Vision, AIBrain, Rockwell, Automation, Cisco Systems, Mitsubishi Electric Corporation, Oracle Corporation, SAP SE, Preferred Networks, Vicarious, Skymind, Citrine Informatics, CloudMinds Technologies, Ubtech Robotics Request Sample Enquiry Buying Buy Now In addition this, marker research report comprises recent market strategies key market players provides survey present market development technological evolutions. This survey includes detailed analysis global competitive industrial structure information current future technological advancements development. Also, survey includes opportunities encounters faced major players global Artificial Intelligence Manufacturing market. Hence, data extensively help manufacturers include update business plans strategies help growth Artificial Intelligence Manufacturing market. Furthermore, Artificial Intelligence Manufacturing market report provides major strategic examination, growth summarized studies, key driving factors opportunities market, helps evaluate Artificial Intelligence Manufacturing market significant details related Artificial Intelligence Manufacturing market. The research report study helps reveal accurate stats industry, represents ultimate pattern global Artificial Intelligence Manufacturing market contains types, applications, market growth structure opportunities. Moreover, market research report study provides exploration analysis past current performance regional market, includes divisional subdivisional geographies. This regional analysis explores important market parameters like growth rate Artificial Intelligence Manufacturing market regions, manufacturing volume capacity, market demand supply return investments RoI. Additionally, statistical numerical data provided research report segregated tabular, graphical charts format, eases understanding facts figures. The Artificial Intelligence Manufacturing market research report provides forecasted data year 20202027 historical data year 20152019, considering 2019 base year. This study discusses market share estimates, market size, current industry trends profiling Artificial Intelligence Manufacturing market key players. Report Attribute Details The market size value 2019 USD xx.xx million click value The revenue forecast 2028 USD xx.xx million click value Growth Rate CAGR xx.xx 2020 2028 click value The base year estimation 2019 Historical data 2015 2018 Forecast period 2019 2028 Quantitative units Revenue USD million CAGR 2020 2028 Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, trends Segments covered Component, Types, Applications, EndUsers, more. Top Manufacturers Siemens, Intel Corporation, NVIDIA Corporation, Alphabet, IBM Corporation, Microsoft Corporation, General Electric Company, DataRPM, Sight Machine, General Vision, AIBrain, Rockwell, Automation, Cisco Systems, Mitsubishi Electric Corporation, Oracle Corporation, SAP SE, Preferred Networks, Vicarious, Skymind, Citrine Informatics, CloudMinds Technologies, Ubtech Robotics Product Types Deep Learning, Computer Vision, Context Awareness, Natural Language Processing Application Types Semiconductor Electronics, Energy Power, Pharmaceuticals, Automobile, Heavy Metals Machine Manufacturing, Food Beverages, Others Textiles Aerospace Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East Africa Customization scope Free report customization equivalent 8 analysts working days purchase. Addition alteration country, regional segment scope. Pricing purchase options Avail customized purchase options meet exact research needs. Explore purchase options Type Segmentation Global Artificial Intelligence Manufacturing Market: The type analysis Artificial Intelligence Manufacturing market provides comprehensive information competitors, activities, customer experiences market emerging trends, helps marketers introduce new product market investigate behavior target market. Deep Learning Computer Vision Context Awareness Natural Language Processing Application Segmentation Global Artificial Intelligence Manufacturing Market: The application analysis Artificial Intelligence Manufacturing market provides overview applications interact desired functions market. Semiconductor Electronics Energy Power Pharmaceuticals Automobile Heavy Metals Machine Manufacturing Food Beverages Others Textiles Aerospace Regional Analysis Global Artificial Intelligence Manufacturing Market: North America U.S., Canada, Mexico Europe Germany, U.K., France, Italy, Russia, Spain, Rest Europe Asia Pacific China, Japan, India, Russia, Rest Asia Pacific Latin America Cuba, Brazil, Argentina, Rest Latin America Middle East Africa South Africa, GCC Rest Middle East Africa Access Full Report, here: Major points covered Artificial Intelligence Manufacturing market report are: The report offers competitive landscape market strategies key market players product offerings The report provides historic data 2019, forecast data 2020 2027 global Artificial Intelligence Manufacturing market. SWOT analysis key players mentioned research report The report covers PESTAL analysis Potters Five Forces analysis global Artificial Intelligence Manufacturing market. The report provides information key manufacturers, Artificial Intelligence Manufacturing manufacturing cost structure, major raw materials suppliers. The report covers detailed overview Covid19 impact global Artificial Intelligence Manufacturing market Detailed information drivers, opportunities, restraints Artificial Intelligence Manufacturing market The report provides competitive analysis Artificial Intelligence Manufacturing market key product segments market Buy single user discounted price now: : We Zeal Insider aim global leaders qualitative predictive analysis seat identifying worldwide industrial trends opportunities mapping silver platter. We specialize identifying calibers markets robust activities constantly pushing areas allow clientele base making innovative, optimized, integrated strategic business decisions order ahead competition leaps bounds. Our researchers achieve mammoth task conducting sound research data points scattered carefully placed equatorial regions. Us: Zeal Insider 1st Floor, Harikrishna Building, Samarth Nagar, New Sanghvi, Pune 411027 India tel: 918149441100 GMT Office Hours tel: 17738002974 [emailprotected] Post navigation Global Beverage Bottle Conveyor Market 2021 Witness Huge Growth 2026 Krones, Descon, mk North America, Dorner Conveyors, NSK Global Mortadella Market Research Report 2021 Salumi Leoncini, Boars Head Brand, Levoni Spa, Felsineo, Columbus Craft Meats By frankvaladez Related Post All News News Business Intelligence Software market rising demand growth trend insights 5 years Apr 23, 2021 ample All News News Bath Linen Market: A WellDefined Technological Growth Map With An ImpactAnalysis Apr 23, 2021 ample All News Wine Display Rack Market To See Major Growth By 2026:Marsotto, Pasquini Marino, REXITE, aster cucine, ESIGO SRL, Maffam Freeform, MAGIS Apr 23, 2021 ample Recent Posts Global Cigarette Lighter Market Driven Rising Smoking Rate Forecast Period 20212026 Business Intelligence Software market rising demand growth trend insights 5 years XRings Market May See A Big Move: Vijay Enterprise, Luminous Optical Technology, Ace Seal, Ningbo Jiaodian Sealing Industry Bath Linen Market: A WellDefined Technological Growth Map With An ImpactAnalysis Wine Display Rack Market To See Major Growth By 2026:Marsotto, Pasquini Marino, REXITE, aster cucine, ESIGO SRL, Maffam Freeform, MAGIS Archives April 2021 March 2021 February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Space Meta Log Entries feed Comments feed You missed News Global Cigarette Lighter Market Driven Rising Smoking Rate Forecast Period 20212026 Apr 23, 2021 Matt Johnson All News News Business Intelligence Software market rising demand growth trend insights 5 years Apr 23, 2021 ample News XRings Market May See A Big Move: Vijay Enterprise, Luminous Optical Technology, Ace Seal, Ningbo Jiaodian Sealing Industry Apr 23, 2021 ample All News News Bath Linen Market: A WellDefined Technological Growth Map With An ImpactAnalysis Apr 23, 2021 ample The Market Eagle News Proudly powered WordPress Theme: Newsup Themeansar. 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https://themarketeagle.com/2021/04/27/global-cloud-ai-market-2020-2028-financial-insights-business-growth-strategies-with-top-key-players-oracle-corporation-microsoft-corporation-ibm-google-infosys-limited/
| 2021-04-27T00:00:00 |
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Global Cloud AI Market 2020-2028 Financial Insights Business Growth Strategies with Top Key Players: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited – The Market Eagle
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Global Cloud AI Market 2020-2028 Financial Insights Business Growth Strategies with Top Key Players: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited – The Market Eagle
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Global Cloud AI Market 2020-2028 Financial Insights Business Growth Strategies with Top Key Players: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited
Byfrankvaladez
Apr 27, 2021
The Global Cloud AI Market research report covers various industry dynamics and tendencies that helps in the market growth. Along with this, the research report also offers the latest industry data, future trends, products and end-users revenue growth and effectiveness, which is also by the manufacturers for the growth of the global Cloud AI market. Moreover, this market research report study also provides various market drivers, restrains, future opportunities, limitations and challenges that helps in the growth of the global Cloud AI market. The data or information that is required for the research report study of the Cloud AI market is collected with helps of various research tools like SWOT analysis, PESTAL analysis, Poster’s Five Forces analysis and other competitive analysis.
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The comprehensive list of Key Market Players along with their market overview, product protocol, key highlights, key financial issues, SWOT analysis, and business strategies: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited, Amazon Web Services, Wipro Limited, Baidu Inc., Informatica, Nuance Communications, iFLYTEK, Salesforce, ZTE Corporation, H2O.ai
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In addition to this, the marker research report also comprises of recent market strategies that are used by the key market players and also provides the survey on the present market development and technological evolutions. This survey includes detailed analysis of the global competitive industrial structure and the information about the current and future technological advancements and development. Also, the survey includes the opportunities and encounters that are faced by the major players of the global Cloud AI market. Hence, this data will extensively help the manufacturers to include and update various business plans and strategies that will help in the growth of the Cloud AI market.
Furthermore, the Cloud AI market report also provides major strategic examination, growth summarized studies, key driving factors and opportunities of the market, which helps to evaluate the Cloud AI market and other significant details that are related to the Cloud AI market. The research report study also helps to reveal accurate stats of the industry, which represents ultimate pattern of the global Cloud AI market and contains various types, applications, market growth structure and opportunities. Moreover, the market research report study also provides an exploration and analysis of the past and current performance of the regional market, which includes divisional and sub-divisional geographies. This regional analysis explores various important market parameters like growth rate of the Cloud AI market in each of the regions, manufacturing volume and capacity, market demand and supply and its return on investments (RoI).
Additionally, the statistical and numerical data provided in the research report is segregated in the tabular, graphical and charts format, which eases the understanding of facts and figures. The Cloud AI market research report provides forecasted data from the year 2020-2027 and historical data from the year 2015-2019, by considering 2019 as the base year. This study also discusses market share estimates, market size, current industry trends and profiling of Cloud AI market key players.
Report Attribute
Details
The market size value in 2019
USD xx.xx million (click here for value)
The revenue forecast in 2028
USD xx.xx million (click here for value)
Growth Rate
CAGR of xx.xx% from 2020 to 2028 (click here for value)
The base year for estimation
2019
Historical data
2015 – 2018
Forecast period
2019 – 2028
Quantitative units
Revenue in USD million and CAGR from 2020 to 2028
Report coverage
Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered
Component, Types, Applications, End-Users, and more.
Top Manufacturers
Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited, Amazon Web Services, Wipro Limited, Baidu Inc., Informatica, Nuance Communications, iFLYTEK, Salesforce, ZTE Corporation, H2O.ai
Product Types
Public Clouds, Private Clouds, Hybrid Clouds
Application Types
BFSI, IT Telecommunication, Manufacturing, Healthcare, Automotive, Retail, Education, Others
Regional Scope
North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Customization scope
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options
Avail of customized purchase options to meet your exact research needs. Explore purchase options
Type Segmentation of the Global Cloud AI Market:
The type analysis of the Cloud AI market provides comprehensive information about its competitors, their activities, customer experiences and market emerging trends, which helps the marketers to introduce new product in the market and to investigate the behavior of the target market.
Public Clouds
Private Clouds
Hybrid Clouds
Application Segmentation of the Global Cloud AI Market:
The application analysis of the Cloud AI market provides an overview that how the applications interact with the desired functions in the market.
BFSI
IT Telecommunication
Manufacturing
Healthcare
Automotive
Retail
Education
Others
Regional Analysis for Global Cloud AI Market:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, and Rest of Europe)
Asia Pacific (China, Japan, India, Russia, and Rest of Asia Pacific)
Latin America (Cuba, Brazil, Argentina, and Rest of Latin America)
Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)
Access Full Report, here: https://www.zealinsider.com/report/137728/cloud-ai-market
Major points that are covered in the Cloud AI market report are:
The report offers competitive landscape and various market strategies of the key market players and their product offerings
The report provides historic data up to 2019, and forecast data from 2020 to 2027 for the global Cloud AI market.
SWOT analysis for all the key players that are mentioned in the research report
The report also covers PESTAL analysis and Potter’s Five Forces analysis for the global Cloud AI market.
The report also provides detail information about the key manufacturers, Cloud AI manufacturing cost structure, and major raw materials suppliers.
The report covers detailed overview of the Covid-19 impact on the global Cloud AI market
Detailed information about drivers, opportunities, and restraints of the Cloud AI market
The report provides a competitive analysis regarding Cloud AI market and key product segments of a market
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Global Cloud AI Market 20202028 Financial Insights Business Growth Strategies Top Key Players: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited The Market Eagle Skip content Tue. Apr 27th, 2021 The Market Eagle News Energy News Space All News All News Global Cloud AI Market 20202028 Financial Insights Business Growth Strategies Top Key Players: Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited Byfrankvaladez Apr 27, 2021 The Global Cloud AI Market research report covers industry dynamics tendencies helps market growth. Along this, research report offers latest industry data, future trends, products endusers revenue growth effectiveness, manufacturers growth global Cloud AI market. Moreover, market research report study provides market drivers, restrains, future opportunities, limitations challenges helps growth global Cloud AI market. The data information required research report study Cloud AI market collected helps research tools like SWOT analysis, PESTAL analysis, Posters Five Forces analysis competitive analysis. Pandemic offer customers: Purchase Report availing 10 Discount free consultation. Limited period offer. Get Sample Copy This Report @ Licence Type Discounted Price Single User 2300 Buy Now Multi User 2300 Buy Now Corporate User 2300 Buy Now The comprehensive list Key Market Players market overview, product protocol, key highlights, key financial issues, SWOT analysis, business strategies:Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited, Amazon Web Services, Wipro Limited, Baidu ., Informatica, Nuance Communications, iFLYTEK, Salesforce, ZTE Corporation, H2O.ai Request Sample Enquiry Buying Buy Now In addition this, marker research report comprises recent market strategies key market players provides survey present market development technological evolutions. This survey includes detailed analysis global competitive industrial structure information current future technological advancements development. Also, survey includes opportunities encounters faced major players global Cloud AI market. Hence, data extensively help manufacturers include update business plans strategies help growth Cloud AI market. Furthermore, Cloud AI market report provides major strategic examination, growth summarized studies, key driving factors opportunities market, helps evaluate Cloud AI market significant details related Cloud AI market. The research report study helps reveal accurate stats industry, represents ultimate pattern global Cloud AI market contains types, applications, market growth structure opportunities. Moreover, market research report study provides exploration analysis past current performance regional market, includes divisional subdivisional geographies. This regional analysis explores important market parameters like growth rate Cloud AI market regions, manufacturing volume capacity, market demand supply return investments RoI. Additionally, statistical numerical data provided research report segregated tabular, graphical charts format, eases understanding facts figures. The Cloud AI market research report provides forecasted data year 20202027 historical data year 20152019, considering 2019 base year. This study discusses market share estimates, market size, current industry trends profiling Cloud AI market key players. Report Attribute Details The market size value 2019 USD xx.xx million click value The revenue forecast 2028 USD xx.xx million click value Growth Rate CAGR xx.xx 2020 2028 click value The base year estimation 2019 Historical data 2015 2018 Forecast period 2019 2028 Quantitative units Revenue USD million CAGR 2020 2028 Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, trends Segments covered Component, Types, Applications, EndUsers, more. Top Manufacturers Oracle Corporation, Microsoft Corporation, IBM, Google, Infosys Limited, Amazon Web Services, Wipro Limited, Baidu ., Informatica, Nuance Communications, iFLYTEK, Salesforce, ZTE Corporation, H2O.ai Product Types Public Clouds, Private Clouds, Hybrid Clouds Application Types BFSI, IT Telecommunication, Manufacturing, Healthcare, Automotive, Retail, Education, Others Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East Africa Customization scope Free report customization equivalent 8 analysts working days purchase. Addition alteration country, regional segment scope. Pricing purchase options Avail customized purchase options meet exact research needs. Explore purchase options Type Segmentation Global Cloud AI Market: The type analysis Cloud AI market provides comprehensive information competitors, activities, customer experiences market emerging trends, helps marketers introduce new product market investigate behavior target market. Public Clouds Private Clouds Hybrid Clouds Application Segmentation Global Cloud AI Market: The application analysis Cloud AI market provides overview applications interact desired functions market. BFSI IT Telecommunication Manufacturing Healthcare Automotive Retail Education Others Regional Analysis Global Cloud AI Market: North America U.S., Canada, Mexico Europe Germany, U.K., France, Italy, Russia, Spain, Rest Europe Asia Pacific China, Japan, India, Russia, Rest Asia Pacific Latin America Cuba, Brazil, Argentina, Rest Latin America Middle East Africa South Africa, GCC Rest Middle East Africa Access Full Report, here: Major points covered Cloud AI market report are: The report offers competitive landscape market strategies key market players product offerings The report provides historic data 2019, forecast data 2020 2027 global Cloud AI market. SWOT analysis key players mentioned research report The report covers PESTAL analysis Potters Five Forces analysis global Cloud AI market. The report provides information key manufacturers, Cloud AI manufacturing cost structure, major raw materials suppliers. The report covers detailed overview Covid19 impact global Cloud AI market Detailed information drivers, opportunities, restraints Cloud AI market The report provides competitive analysis Cloud AI market key product segments market Buy single user discounted price now: : We Zeal Insider aim global leaders qualitative predictive analysis seat identifying worldwide industrial trends opportunities mapping silver platter. We specialize identifying calibers markets robust activities constantly pushing areas allow clientele base making innovative, optimized, integrated strategic business decisions order ahead competition leaps bounds. Our researchers achieve mammoth task conducting sound research data points scattered carefully placed equatorial regions. Us: Zeal Insider 1st Floor, Harikrishna Building, Samarth Nagar, New Sanghvi, Pune 411027 India tel: 918149441100 GMT Office Hours tel: 17738002974 [emailprotected] Post navigation Chemical Injection Skids Market Manufacturers, Regions, Type Application, Forecast To 2026 AES Arabia, Seko, Petrak Industries, Casainox Flow Solutions, IDEX Global Torque Motors Market Recent Trends, Indepth Analysis, Market Size Research Report Forecast 2025: Tecnotion, Fischer Elektromotoren, HIWIN, Siemens, ETEL By frankvaladez Related Post All News News Fruit Powder Market Share, Size, Future Trends, Demand Industry Outlook Post COVID Investors Eye BiggerThanExpected Apr 27, 2021 tushar All News News Indepth Research Hydroponics Market Business Status, Industry Trends Outlook 2020 2027 Apr 27, 2021 tushar All News News Plantbased Milk Market Size 2020 Status Top Players Trends And Forecast To 2027 Apr 27, 2021 tushar Recent Posts Fruit Powder Market Share, Size, Future Trends, Demand Industry Outlook Post COVID Investors Eye BiggerThanExpected Indepth Research Hydroponics Market Business Status, Industry Trends Outlook 2020 2027 Plantbased Milk Market Size 2020 Status Top Players Trends And Forecast To 2027 Current Scenario Almond Milk Market Trends, Drivers, Strategies, Applications Competitive Landscape New Research Report On Ginger Market Is Growing In Huge Demand In 20202027 Key Players including Organic Mountain Flavor Pvt. Ltd., Capital Foods Ltd. Archives April 2021 March 2021 February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Space Meta Log Entries feed Comments feed You missed All News News Fruit Powder Market Share, Size, Future Trends, Demand Industry Outlook Post COVID Investors Eye BiggerThanExpected Apr 27, 2021 tushar All News News Indepth Research Hydroponics Market Business Status, Industry Trends Outlook 2020 2027 Apr 27, 2021 tushar All News News Plantbased Milk Market Size 2020 Status Top Players Trends And Forecast To 2027 Apr 27, 2021 tushar All News News Current Scenario Almond Milk Market Trends, Drivers, Strategies, Applications Competitive Landscape Apr 27, 2021 tushar The Market Eagle News Proudly powered WordPress Theme: Newsup Themeansar. HomeSample Page
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https://theramswire.usatoday.com/2023/05/23/rams-chatgpt-best-players-all-time-ranking-ai/
| 2023-05-23T00:00:00 |
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ChatGPT ranked the top 15 Rams players of all time. How did it do?
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ChatGPT ranked the top 15 Rams players of all time. How did it do?
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ChatGPT ranked the top 15 Rams players of all time. How did it do?
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Cameron DaSilva
May 23, 2023 8:32 am PT
Ranking any franchise’s all-time best players will always be subjective. There are so many factors to consider, whether it’s championships won, individual stats, awards or postseason success – among many other things to consider.
One way to take the human element out of the selection process is by deferring to artificial intelligence. Even still, it’s hard for AI to rank the 15 best players in Rams history without ruffling some feathers and angering fans.
We asked ChatGPT, the viral language model AI chatbot, to rank the top 15 players to ever wear a Rams uniform and the result was perfectly reasonable. We don’t know what ChatGPT used as the basis for its rankings, but what we can say is the chatbot’s data only goes back to 2021 so it doesn’t have any knowledge of events that occurred from 2022 on.
That undoubtedly hurt Aaron Donald’s placement on the list, considering he won a Super Bowl in 2022. Cooper Kupp probably wouldn’t have made the top 15 regardless, but he also won a ring and was named Offensive Player of the Year after the 2021 season.
Here’s how ChatGPT ranked the Rams’ top 15 players, with Roman Gabriel and Torry Holt receiving honorable mentions.
Merlin Olsen
Marshall Faulk
Eric Dickerson
Deacon Jones
Jack Youngblood
Kurt Warner
Isaac Bruce
Jackie Slater
Tom Mack
Orlando Pace
Elroy “Crazy Legs” Hirsch
Rosey Grier
Lawrence McCutcheon
Aaron Donald
Bob Waterfield
So, what do you think? The Rams have had so many legends wear the horns, so separating even the top 10 is difficult. Olsen, Jones and Youngblood are all considered all-time great defensive linemen, while Faulk and Dickerson are two of the best running backs to ever play in the NFL.
Warner didn’t spent a ton of time with the Rams but he won a Super Bowl and MVP and was the quarterback of one of the best offenses in NFL history. Bruce was a major part of that offense, too, as was Pace at left tackle.
The most glaring issue with ChatGPT’s list is Donald’s placement. He should be much higher than No. 14, especially after winning a ring. He’s a three-time Defensive Player of the Year and is considered one of the best defenders in league history.
More Latest Rams news
Ranking every starting QB the Rams will (likely) face in 2023 from best to worst
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ChatGPT ranked the top 15 Rams players of all time. How did it do?
|
ChatGPT ranked 15 Rams players time. How do? Schedule Teams AFC East Bills Dolphins Jets Patriots AFC North Bengals Browns Ravens Steelers AFC South Colts Jaguars Texans Titans AFC West Broncos Chargers Chiefs Raiders NFC East Commanders Cowboys Eagles Giants NFC North Bears Lions Packers Vikings NFC South Buccaneers Falcons Panthers Saints NFC West Cardinals Niners Seahawks Colleges Pac12 Colorado Oregon USC Big Ten Iowa Michigan Michigan St. Nebraska Ohio St. Penn St. Rutgers Wisconsin Big 12 Oklahoma Texas SEC Alabama Arkansas Auburn Florida Georgia LSU Tennessee Texas AM ACC Clemson UNC Notre Dame Social Media Facebook Twitter Injuries Newsletter TD Wire Draft Fantasy Betting Odds About Rams Tickets More Schedule Teams AFC East Bills Dolphins Jets Patriots AFC North Bengals Browns Ravens Steelers AFC South Colts Jaguars Texans Titans AFC West Broncos Chargers Chiefs Raiders NFC East Commanders Cowboys Eagles Giants NFC North Bears Lions Packers Vikings NFC South Buccaneers Falcons Panthers Saints NFC West Cardinals Niners Seahawks Colleges Pac12 Colorado Oregon USC Big Ten Iowa Michigan Michigan St. Nebraska Ohio St. Penn St. Rutgers Wisconsin Big 12 Oklahoma Texas SEC Alabama Arkansas Auburn Florida Georgia LSU Tennessee Texas AM ACC Clemson UNC Notre Dame Social Media Facebook Twitter Injuries Newsletter TD Wire Draft Fantasy Betting Odds About Rams Tickets Menu Share Close share tweet text email link Facebook Twitter text message LinkedIn email Sections Schedule Teams AFC East Bills Dolphins Jets Patriots AFC North Bengals Browns Ravens Steelers AFC South Colts Jaguars Texans Titans AFC West Broncos Chargers Chiefs Raiders NFC East Commanders Cowboys Eagles Giants NFC North Bears Lions Packers Vikings NFC South Buccaneers Falcons Panthers Saints NFC West Cardinals Niners Seahawks Colleges Pac12 Colorado Oregon USC Big Ten Iowa Michigan Michigan St. Nebraska Ohio St. Penn St. Rutgers Wisconsin Big 12 Oklahoma Texas SEC Alabama Arkansas Auburn Florida Georgia LSU Tennessee Texas AM ACC Clemson UNC Notre Dame Social Media Facebook Twitter Injuries Newsletter TD Wire Draft Fantasy Betting Odds About Rams Tickets Advertisement ChatGPT ranked 15 Rams players time. How do? Share article 312 shares share tweet text email link Facebook Twitter text message LinkedIn email Cameron DaSilva May 23, 2023 8:32 PT Ranking franchises alltime best players subjective. There factors consider, championships won, individual stats, awards postseason success things consider. One way human element selection process deferring artificial intelligence. Even still, hard AI rank 15 best players Rams history ruffling feathers angering fans. We asked ChatGPT, viral language model AI chatbot, rank 15 players wear Rams uniform result perfectly reasonable. We dont know ChatGPT basis rankings, chatbots data goes 2021 doesnt knowledge events occurred 2022 on. That undoubtedly hurt Aaron Donalds placement list, considering Super Bowl 2022. Cooper Kupp probably wouldnt 15 regardless, ring named Offensive Player Year 2021 season. Heres ChatGPT ranked Rams 15 players, Roman Gabriel Torry Holt receiving honorable mentions. Merlin Olsen Marshall Faulk Eric Dickerson Deacon Jones Jack Youngblood Kurt Warner Isaac Bruce Jackie Slater Tom Mack Orlando Pace Elroy Crazy Legs Hirsch Rosey Grier Lawrence McCutcheon Aaron Donald Bob Waterfield So, think? The Rams hadso legends wear horns, separating 10 difficult. Olsen, Jones Youngblood considered alltime great defensive linemen, Faulk Dickerson best running backs play NFL. Warner didnt spent ton time Rams Super Bowl MVP quarterback best offenses NFL history. Bruce major offense, too, Pace left tackle. The glaring issue ChatGPTs list Donalds placement. He higher No. 14, especially winning ring. Hes threetime Defensive Player Year considered best defenders league history. More Latest Rams news Ranking starting QB Rams likely face 2023 best worst Rams consider signing K Brandon McManus following release Broncos 4 things know Rams rookie TE Davis Allen Like article? Sign Rams Wire newsletter stories inbox morning Email Sign View newsletters More Latest Rams news Share article 312 shares share tweet text email link Facebook Twitter text message LinkedIn email Advertisement More Latest Rams news RamsSaints Week 16 TNF games flexed new rule Jalen Ramsey selling LA home, lists 13.995 million ESPN ranks Rams 23rd FPI rankings, gives 5thbest odds land No. 1 pick Want latest news insights favorite team? Sign newsletter update delivered inbox Email Sign An error occured Please reenter email address. Thanks signing Youll receive Rams Wire stories day directly inbox. 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] | 1 | 3,162 |
https://thesportsdaily.com/news/chatgpt-ranks-the-top-ten-college-football-coaching-positions-in-cur_year/
| 2023-05-31T00:00:00 |
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ChatGPT's Top 10: Best College Football Jobs 2023
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ChatGPT's Top 10: Best College Football Jobs 2023
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Home❯College Football ❯ ChatGPT Ranks the Top Ten College Football Coaching Positions in 2023Home❯College Football❯ChatGPT Ranks the Top Ten College Football Coaching Positions in 2023
College Football ChatGPT Ranks the Top Ten College Football Coaching Positions in 2023
David Evans
Sports Editor
May 31 2023
6 min read
Disclosure
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In the college football realm, the stature of head coaching jobs can vary greatly. Each role’s appeal is determined by a blend of factors like conference exposure, athletic department support, team prestige, compensation, recruiting capabilities, room for growth, and numerous other factors. TSD asked ChatGPT to consider all of the factors involved and make a comprehensive list of the best college football head coaching jobs available in 2023.
Each college football program offers its own unique appeal. From the culture of excellence at Alabama to the community strength at Clemson, the rich tradition at Ohio State, the rivalry thrill at Oklahoma, the vast resources at Texas, the academic prestige at Notre Dame, the passionate fan base at Georgia, the electrifying environment at LSU, the blend of academics and athletics at Michigan, to the talent pool at Florida.
As we unpack the details, we’ll shed light on what makes these head coaching positions not just the best in the college football world but also desirable destinations for top recruits and coaches alike. Stay tuned for ChatGPT’s verdict on the best college football coaching jobs available in 2023.
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We asked ChatGPT to provide the ten best college football head coaching jobs available. We told it to consider numerous factors including team prestige, compensation, athletic department support and/or revenue, recruiting capabilities, room for growth, and any other factors it deemed important. Here are the top ten college football head coaching jobs available according to ChatGPT.
ChatGPT’s Top Ten Best College Football Head Coaching Jobs 2023
In the world of college football, a head coaching position is a prized commodity. It offers an opportunity to make a tangible impact on the lives of young athletes, shape the trajectory of a program, and possibly even leave a legacy in college football. Yet, all coaching positions are not created equal.
Some jobs offer more allure based on a multitude of factors, including conference exposure, recruiting capability, departmental support, compensation, prestige, growth potential, fan base, and more.
In this analysis, we will delve into these factors to rank the top ten head coaching positions in college football as of 2023.
10. Florida Gators
The Florida job offers the opportunity to coach in ‘The Swamp,’ one of the toughest environments for visiting teams, and to lead a program known for producing high-profile NFL talent. The warm climate, the deep talent pool in the state, and the passionate Gator Nation add to the allure of this position.
9. Michigan Wolverines
At Michigan, the head coaching job involves leading ‘The Team, The Team, The Team’ in ‘The Big House,’ the largest stadium in the United States. The position is characterized by a balance of rich football tradition, academic excellence, and an expectation of Big Ten and national contention.
8. LSU Tigers
LSU’s coaching job comes with a vibrant culture and environment, as evident in the electrifying night games at Tiger Stadium, also known as “Death Valley.” Coaches also enjoy the advantage of being the flagship program in a state that produces a large amount of elite football talent.
7. Georgia Bulldogs
The University of Georgia is the center of a thriving football culture, with the ‘Between the Hedges’ tradition, Uga, the live bulldog mascot, and the famous ringing of the Chapel Bell after victories. The passionate ‘Dawg Nation’ fan base and the fertile recruiting grounds in Georgia and nearby states make this position highly appealing.
6. Notre Dame Fighting Irish
The job at Notre Dame offers a unique blend of athletic and academic prestige. Coaches at Notre Dame not only get to tap into a nationwide recruiting network but also enjoy the challenge of molding a winning team in the context of rigorous academic standards.
5. Texas Longhorns
Being the Longhorns’ head coach means being at the helm of one of the wealthiest programs in college football. Texas offers unparalleled resources, including a dedicated Longhorn Network, a state-of-the-art stadium, and a deep talent pool in the football-obsessed state.
4. Oklahoma Sooners
Leading the Sooners means playing an integral part in the Red River Rivalry, one of the most intense and storied rivalries in college football. The job promises a vast and passionate fan base, high-quality facilities, and a tradition of producing Heisman Trophy winners.
3. Ohio State Buckeyes
The Ohio State job is steeped in tradition, from the iconic Buckeye leaf helmet stickers to the passionate rendition of “Carmen Ohio” after games. With a consistently strong pipeline of local and national recruits and an expectation of annual contention for the College Football Playoff, Ohio State represents a coveted post.
2. Clemson Tigers
At Clemson, head coaches enjoy a unique culture defined by a strong sense of family and community, both within the team and among the fan base. The school’s recent era of success under Dabo Swinney, which includes multiple national championships, makes this position very attractive to aspiring coaches.
1. Alabama Crimson Tide
The University of Alabama job comes with an unmatched legacy of winning, thanks to the stewardship of Nick Saban. Not only does Alabama provide a prominent platform in the ultra-competitive SEC, but it also has a tradition of developing players who go on to make a mark in the NFL, making it an attractive destination for top recruits.
TSD Commentary: ChatGPT’s list does not offer up many surprises here. All the powerhouses are there, for the most part. The one possible surprise is the Georgia Bulldogs job being ranked at a lowly seventh. This possible can be put down to the fact that the cutoff for ChatGPT data is 2021. It is likely missing the two most recent national championships and that data should be fed to it manually if this were to be run again. However, it is still the big dogs at Alabama who reign supreme according to ChatGPT, with Nick Saban’s job being the most coveted in college football.
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David Evans
David Evans is a well-established figure in sports journalism, carrying with him an impressive portfolio that stretches over 15 years. His savvy insights and reliable commentary have been spotlighted on esteemed platforms like American Betting Experts and Betting Pro.
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HomeCollege Football ChatGPT Ranks Top Ten College Football Coaching Positions 2023HomeCollege FootballChatGPT Ranks Top Ten College Football Coaching Positions 2023 College Football ChatGPT Ranks Top Ten College Football Coaching Positions 2023 David Evans Sports Editor May 31 2023 6 min read Disclosure Share In college football realm, stature head coaching jobs vary greatly. Each roles appeal determined blend factors like conference exposure, athletic department support, team prestige, compensation, recruiting capabilities, room growth, numerous factors. TSD asked ChatGPT consider factors involved comprehensive list best college football head coaching jobs available 2023. Each college football program offers unique appeal. From culture excellence Alabama community strength Clemson, rich tradition Ohio State, rivalry thrill Oklahoma, vast resources Texas, academic prestige Notre Dame, passionate fan base Georgia, electrifying environment LSU, blend academics athletics Michigan, talent pool Florida. As unpack details, shed light makes head coaching positions best college football world desirable destinations recruits coaches alike. Stay tuned ChatGPTs verdict best college football coaching jobs available 2023. The Best Betting Sites College Football 1. 1,000 Sports Betting Offer 2 Free Bets Accepts Players From All US States. 18. TC Apply. Claim Offer 2. 100 Welcome Bonus, Up To 2,500 Accepts Players From All US States. 18. TC Apply. Claim Offer 3. 1,000 Sportsbook Welcome Bonus Accepts Players From All US States. 18. TC Apply. Claim Now 4. 1,000 Free Bets Accepts Players From All US States. 18. TC Apply. Claim Offer 5. 750 Sports Betting Bonus Accepts Players From All US States. 18. TC Apply. Claim Offer 6. 750 Welcome Bonus Offer Accepts Players From All US States. 18. TC Apply. Claim Offer We asked ChatGPT provide best college football head coaching jobs available. We told consider numerous factors including team prestige, compensation, athletic department support andor revenue, recruiting capabilities, room growth, factors deemed important. Here college football head coaching jobs available according ChatGPT. ChatGPTs Top Ten Best College Football Head Coaching Jobs 2023 In world college football, head coaching position prized commodity. It offers opportunity tangible impact lives young athletes, shape trajectory program, possibly leave legacy college football. Yet, coaching positions created equal. Some jobs offer allure based multitude factors, including conference exposure, recruiting capability, departmental support, compensation, prestige, growth potential, fan base, more. In analysis, delve factors rank head coaching positions college football 2023. 10. Florida Gators The Florida job offers opportunity coach The Swamp, toughest environments visiting teams, lead program known producing highprofile NFL talent. The warm climate, deep talent pool state, passionate Gator Nation add allure position. 9. Michigan Wolverines At Michigan, head coaching job involves leading The Team, The Team, The Team The Big House, largest stadium United States. The position characterized balance rich football tradition, academic excellence, expectation Big Ten national contention. 8. LSU Tigers LSUs coaching job comes vibrant culture environment, evident electrifying night games Tiger Stadium, known Death Valley. Coaches enjoy advantage flagship program state produces large elite football talent. 7. Georgia Bulldogs The University Georgia center thriving football culture, Between Hedges tradition, Uga, live bulldog mascot, famous ringing Chapel Bell victories. The passionate Dawg Nation fan base fertile recruiting grounds Georgia nearby states position highly appealing. 6. Notre Dame Fighting Irish The job Notre Dame offers unique blend athletic academic prestige. Coaches Notre Dame tap nationwide recruiting network enjoy challenge molding winning team context rigorous academic standards. 5. Texas Longhorns Being Longhorns head coach means helm wealthiest programs college football. Texas offers unparalleled resources, including dedicated Longhorn Network, stateoftheart stadium, deep talent pool footballobsessed state. 4. Oklahoma Sooners Leading Sooners means playing integral Red River Rivalry, intense storied rivalries college football. The job promises vast passionate fan base, highquality facilities, tradition producing Heisman Trophy winners. 3. Ohio State Buckeyes The Ohio State job steeped tradition, iconic Buckeye leaf helmet stickers passionate rendition Carmen Ohio games. With consistently strong pipeline local national recruits expectation annual contention College Football Playoff, Ohio State represents coveted post. 2. Clemson Tigers At Clemson, head coaches enjoy unique culture defined strong sense family community, team fan base. The schools recent era success Dabo Swinney, includes multiple national championships, makes position attractive aspiring coaches. 1. Alabama Crimson Tide The University Alabama job comes unmatched legacy winning, thanks stewardship Nick Saban. Not Alabama provide prominent platform ultracompetitive SEC, tradition developing players mark NFL, making attractive destination recruits. TSD Commentary: ChatGPTs list offer surprises here. All powerhouses there, part. The possible surprise Georgia Bulldogs job ranked lowly seventh. This possible fact cutoff ChatGPT data 2021. It likely missing recent national championships data fed manually run again. However, big dogs Alabama reign supreme according ChatGPT, Nick Sabans job coveted college football. College Football Betting Guides 2023 College Football Betting Guide Best NCAAF Sportsbooks Ranked Reviewed. Free NCAAF Picks Check Expert College Football Picks. The Latest NCAAF Odds Compare Best College Football Odds. College Football Moneyline Odds Explained Learn How To Win NCAAF Moneyline Bets. College Football Spreads Explained Guide How To Win NCAAF Spreads Bets. College Football Futures Odds Explained Expert Guide How Win NCAAF Spread Bets. College Football Totals Odds Explained Guide How Win College Football Totals Bets. Add The Sports Daily Google News Feed Topics College Football College Football News Rumors NCAAF Share David Evans David Evans wellestablished figure sports journalism, carrying impressive portfolio stretches 15 years. His savvy insights reliable commentary spotlighted esteemed platforms like American Betting Experts Betting Pro. Davids keen lies North Carolina basketball, college football, NFL, soccer, golf. His insightful pieces reveal deep understanding sports subtle flair strategic analysis. Away desk, David prioritizes physical fitness, regularly working gym. His downtime spent calming company cat. David Evans brings table compelling blend experience, passion, intuition. A respected sports journalism, continues deliver quality content engages informs readers. View All Posts By David Evans David Evans David Evans wellestablished figure sports journalism, carrying impressive portfolio stretches 15 years. His savvy insights reliable commentary spotlighted esteemed platforms like American Betting Experts Betting Pro. Davids keen lies North Carolina basketball, college football, NFL, soccer, golf. His insightful pieces reveal deep understanding sports subtle flair strategic analysis. Away desk, David prioritizes physical fitness, regularly working gym. His downtime spent calming company cat. David Evans brings table compelling blend experience, passion, intuition. A respected sports journalism, continues deliver quality content engages informs readers. View All Posts By David Evans Top Sportsbooks 9.7 75 Crypto Deposit Bonus 750 Claim Bonus Use code BVD1000 deposit. Wagering requirement: 5x sports horses, 30x casino. Deposit credit card Bitcoin. Withdrawing requirements met forfeits bonus money winnings bonus money. Casino games excluded. 9.7 50 match deposit bonus worth 1,000 Claim Bonus Up To 1,000 Welcome Bonus 9.1 50 Welcome Deposit Bonus Up To 500 10 Casino Chip Claim Bonus The 100 sports betting bonus capped 500. You enter promo code XB100 claim. Your minimum deposit equal exceed 45. The promotion comes rollover 7x. 9.7 50 Welcome Deposit Bonus 1000 Claim Bonus No time limits apply. Minimum deposit 50 claim bonus. You bet wagers odds 2.5:1 more. General terms conditions apply. 9.2 Up 2,500 deposit match Claim Bonus Minimum deposit 100 required claim welcome bonus. Use BetUS promo code JOIN125 claim. You bet odds 2.8:1 higher. The offer subject 14day time limit. Max cash limits apply. Related To College Football College Football UGA Football Recruiting: Bulldogs Lead Race 5Star Safety KJ Bolden Ahead Alabama, Clemson, Ohio State David Evans 7min College Football Tennessee Football Recruiting: Vols Lead Race 4Star Edge Kameryn Fountain David Evans May 29 2023 College Football Former Notre Dame QB Tyler Buchner Sees More Opportunity Alabama Colin Lynch May 27 2023 College Football College Football: Looking Ahead 2024 12Team College Football Playoff Colin Lynch May 27 2023 College Football Miami Football Recruiting: 3Star OT Zuri Madison Schedules End June Official Visit, Hurricanes Lead Commitment David Evans May 25 2023 College Football ChatGPTs Vision College Football Conference Realignment David Evans May 25 2023 College Football The Deion Sanders Effect: Colorado Buffaloes Ticket Prices Set 400 Cheap Seats Home Opener v. Nebraska David Evans May 25 2023 More News Online Casinos Real Money Casino Apps Offshore Casinos New Casinos Casino Bonuses Sportsbooks Offshore Betting Sites Bitcoin Sportsbooks Parlay Betting Apps Sportsbook Promo Codes Betting Guides NFL Betting NHL Betting NBA Betting UFC Betting Promo Codes BetOnline Promo Code Bovada Promo Code MyBookie Promo Code XBet Promo Code Us Responsible Gambling Note content site considered betting advice. Betting speculative. When betting capital risk. This website free use receive commission companies feature site. The Sports Daily. 2023
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] | 1 | 3,163 |
https://thetacticalmarket.com/archives/67908/artificial-intelligence-service-market-2021-to-2028-size-revenue-driver-restraints-and-reginal-forecast/
| 2021-09-20T00:00:00 |
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Artificial Intelligence Service Market 2021 to 2028 – Size, Revenue, Driver, Restraints, and Reginal Forecast – Tactical Market
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Artificial Intelligence Service Market 2021 to 2028 – Size, Revenue, Driver, Restraints, and Reginal Forecast
Post author
By marketresearchupdate
Post date
September 20, 2021
No Comments on Artificial Intelligence Service Market 2021 to 2028 – Size, Revenue, Driver, Restraints, and Reginal Forecast
Overview Of Artificial Intelligence Service Industry 2021-2028:
This has brought along several changes in This report also covers the impact of COVID-19 on the global market.
The Artificial Intelligence Service Market analysis summary by Reports Insights is a thorough study of the current trends leading to this vertical trend in various regions. In addition, this study emphasizes thorough competition analysis on market prospects, especially growth strategies that market experts claim.
Artificial Intelligence Service Market competition by top manufacturers as follow: International Business Machines, SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac Corporation(FICO), SAS Institute(US)
Get a Sample PDF copy of the report @ https://www.reportsinsights.com/sample/513652
The global Artificial Intelligence Service market has been segmented on the basis of technology, product type, application, distribution channel, end-user, and industry vertical, along with the geography, delivering valuable insights.
The Type Coverage in the Market are:
Software Tools
Services
Market Segment by Applications, covers:
BFSI
Telecommunications and IT
Retail and E-Commerce
Government and Defense
Healthcare
Manufacturing
Energy and Utilities
Construction and Engineering
Others
Market segment by Regions/Countries, this report covers
North America
Europe
China
Rest of Asia Pacific
Central & South America
Middle East & Africa
Major factors covered in the report:
Global Artificial Intelligence Service Market summary
Economic Impact on the Industry
Market Competition in terms of Manufacturers
Production, Revenue (Value) by geographical segmentation
Production, Revenue (Value), Price Trend by Type
Market Analysis by Application
Cost Investigation
Industrial Chain, Raw material sourcing strategy and Downstream Buyers
Marketing Strategy comprehension, Distributors and Traders
Study on Market Research Factors
Global Artificial Intelligence Service Market Forecast
To get this report at a profitable rate.: https://www.reportsinsights.com/discount/513652
The analysis objectives of the report are:
To know the Global Artificial Intelligence Service Market size by pinpointing its sub-segments.
To study the important players and analyse their growth plans.
To analyse the amount and value of the Global Artificial Intelligence ServiceMarket, depending on key regions
To analyse the Global Artificial Intelligence Service Market concerning growth trends, prospects and also their participation in the entire sector.
To examine the Global Artificial Intelligence Service Market size (volume & value) from the company, essential regions/countries, products and application, background information.
Primary worldwide Global Artificial Intelligence Service Market manufacturing companies, to specify, clarify and analyse the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans for future.
To examine competitive progress such as expansions, arrangements, new product launches and acquisitions on the market.
Our report offers:
– Market share assessments for the regional and country level segments.
– Market share analysis of the top industry players.
– Strategic recommendations for the new entrants.
– Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets.
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations).
– Strategic recommendations in key business segments based on the market estimations.
– Competitive landscaping mapping the key common trends.
– Company profiling with detailed strategies, financials, and recent developments.
– Supply chain trends mapping the latest technological advancements.
Access full Report Description, TOC, Table of Figure, Chart, etc. @ https://www.reportsinsights.com/industry-forecast/https://www.reportsinsights.com/industry-forecast/Artificial-Intelligence-Service-Market-513652-513652
About US:
ReportsInsights is the leading research industry that offers contextual and data-centric research services to its customers across the globe. The firm assists its clients to strategize business policies and accomplish sustainable growth in their respective market domain. The industry provides consulting services, syndicated research reports, and customized research reports.
Contact US:
Email: [email protected]
Sales: [email protected]
Tags
Artificial Intelligence Service, Artificial Intelligence Service Industry Analysis, Artificial Intelligence Service Market, Artificial Intelligence Service Market Analysis, Artificial Intelligence Service Market Drivers, Artificial Intelligence Service Market Forecast, Artificial Intelligence Service Market Growth, Artificial Intelligence Service Market In Europe, Artificial Intelligence Service Market In US, Artificial Intelligence Service Market opportunities, Artificial Intelligence Service Market Report, Artificial Intelligence Service Market Research, Artificial Intelligence Service Market Restraints, Artificial Intelligence Service Market Share, Europe Artificial Intelligence Service Market, France Artificial Intelligence Service Market, Germany Artificial Intelligence Service Market, Italy Artificial Intelligence Service Market, Japan Artificial Intelligence Service Market, Korea Artificial Intelligence Service Market, Netherlands Artificial Intelligence Service Market, Spain Artificial Intelligence Service Market, Top Artificial Intelligence Service Market, UK Artificial Intelligence Service Market, US Artificial Intelligence Service Market
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Artificial Intelligence Service Market 2021 2028 Size, Revenue, Driver, Restraints, Reginal Forecast Tactical Market Skip content Tactical MarketNews Menu Energy Space Environment Technology Satellites Electric vehicles for: Close search Close Menu Energy Space Environment Technology Satellites Electric vehicles Categories Finances Artificial Intelligence Service Market 2021 2028 Size, Revenue, Driver, Restraints, Reginal Forecast Post author By marketresearchupdate Post date September 20, 2021 No Comments Artificial Intelligence Service Market 2021 2028 Size, Revenue, Driver, Restraints, Reginal Forecast Overview Of Artificial Intelligence Service Industry 20212028: This brought changes This report covers impact COVID19 global market. The Artificial Intelligence Service Market analysis summary Reports Insights thorough study current trends leading vertical trend regions. In addition, study emphasizes thorough competition analysis market prospects, especially growth strategies market experts claim. Artificial Intelligence Service Market competition manufacturers follow: International Business Machines, SAP, Google, Amazon, Salesforce, Intel, Baidu, Fair Isaac CorporationFICO, SAS InstituteUS Get Sample PDF copy report @ The global Artificial Intelligence Service market segmented basis technology, product type, application, distribution channel, enduser, industry vertical, geography, delivering valuable insights. The Type Coverage Market are: Software Tools Services Market Segment Applications, covers: BFSI Telecommunications IT Retail ECommerce Government Defense Healthcare Manufacturing Energy Utilities Construction Engineering Others Market segment RegionsCountries, report covers North America Europe China Rest Asia Pacific Central South America Middle East Africa Major factors covered report: Global Artificial Intelligence Service Market summary Economic Impact Industry Market Competition terms Manufacturers Production, Revenue Value geographical segmentation Production, Revenue Value, Price Trend Type Market Analysis Application Cost Investigation Industrial Chain, Raw material sourcing strategy Downstream Buyers Marketing Strategy comprehension, Distributors Traders Study Market Research Factors Global Artificial Intelligence Service MarketForecast To report profitable rate.: The analysis objectives report are: To know Global Artificial Intelligence ServiceMarketsize pinpointing subsegments. To study important players analyse growth plans. To analyse value Global Artificial Intelligence ServiceMarket, depending key regions To analyse Global Artificial Intelligence ServiceMarketconcerning growth trends, prospects participation entire sector. To examine Global Artificial Intelligence ServiceMarketsize volume value company, essential regionscountries, products application, background information. Primary worldwide Global Artificial Intelligence ServiceMarketmanufacturing companies, specify, clarify analyse product sales amount, value market share, market rivalry landscape, SWOT analysis development plans future. To examine competitive progress expansions, arrangements, new product launches acquisitions market. Our report offers: Market share assessments regional country level segments. Market share analysis industry players. Strategic recommendations new entrants. Market forecasts minimum 9 years mentioned segments, sub segments regional markets. Market Trends Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, recommendations. Strategic recommendations key business segments based market estimations. Competitive landscaping mapping key common trends. Company profiling detailed strategies, financials, recent developments. Supply chain trends mapping latest technological advancements. Access Report Description, TOC, Table Figure, Chart, etc. @ About US: ReportsInsights leading research industry offers contextual datacentric research services customers globe. The firm assists clients strategize business policies accomplish sustainable growth respective market domain. The industry provides consulting services, syndicated research reports, customized research reports. 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] | 1 | 3,164 |
https://thetechportal.com/2022/02/24/meta-mark-zuckerberg-ai-projects-metaverse/
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Meta's newly announced AI projects give a clearer glimpse into the metaverse - The Tech Portal
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Meta’s newly announced AI projects give a clearer glimpse into the metaverse
Published on 24 February 2022, 11:25 Asia/Kolkata
Author
Soumyadeep Sarkar
Tagsmark zuckerberg,meta metaverse,Metaverse,metaverse ai
The metaverse was first brought into the international limelight last year as Facebook rebranded itself, but it wasn’t till recently that it started to gain traction. With advances in AI, AR, and VR tech, the metaverse is evolving from an abstract concept into something that can rightfully be the future of the internet.
Meta founder and CEO Mark Zuckerberg feels that AI is the key to unlocking the metaverse, and now at the company’s live-streamed “Inside the Lab” event, he unveiled AI projects and Meta’s work on AI research to make the metaverse a reality.
Meta is working on a new class of generative AI models that will allow people to create entire worlds through speech alone, improve how people interact with voice assistants, and bypass the linguistics barrier by translating across all languages.
If you are wondering how you can create a world with words, Meta has an answer in the form of the Builder Bot. In a demonstration, he appeared as a legless 3D avatar on an island and gave speech commands to create a beach and then add clouds, trees, and even a picnic blanket. This feature will be developed further, of course, and in the future, you will be able to create nuanced worlds to explore and share experiences with others, with just your voice.
Coming to how people will interact with voice assistants, the company’s Project CAIRaoke will help them communicate with AI in the metaverse. It, according to Zuckerberg, is a fully end-to-end neural model for building on-device assistants.
With Builder Bot and CAIRaoke, AI assistants will be improved and allow “AI to see the world from our experience” as people entered virtual reality via headsets or glasses, Zuckerberg said.
Meta will also work on self-supervised learning to prepare for how AI could interpret and predict the types of interactions that would occur in the metaverse. It is also working on egocentric data, which involves seeing worlds from a first-person perspective.
But wait, there is more. Project CAIRaoke will be used with Meta’s video-calling Portal device and Meta aimed to integrate it into devices with AR and VR. Meta’s VP for AI Jérôme Pesenti said it was tightly restricting the responses of its new CAIRaoke-based assistant until it could ensure that the system did not generate offensive language.
AI will also be used to moderate activity and content in the metaverse, and Meta is exploring this avenue. The company has been investing in AI for the past 10 years and today, a lot of AI is used for moderation on its main platforms.
Additionally, the metaverse may remove the barriers of languages completely. This will be possible with the universal speech translator the company is working on, the one that is capable of translating between all written languages. The company is aiming to provide instant speech-to-speech translation across all languages. “The ability to communicate with anyone in any language is a superpower that was dreamt of forever,” Zuckerberg said.
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Metas newly announced AI projects clearer glimpse metaverse The Tech Portal Apps Business Culture Policy Futurism Gadgets How Internet Startups Venture Capital Advertise Apps Business Culture Policy Futurism Gadgets How Internet Startups Venture Capital Advertise for: Business Futurism News Metas newly announced AI projects clearer glimpse metaverse Published 24 February 2022, 11:25 AsiaKolkata Author Soumyadeep Sarkar Tagsmark zuckerberg,meta metaverse,Metaverse,metaverse ai The metaverse brought international limelight year Facebook rebranded itself, wasnt till recently started gain traction. With advances AI, AR, VR tech, metaverse evolving abstract concept rightfully future internet. Meta founder CEO Mark Zuckerberg feels AI key unlocking metaverse, companys livestreamed Inside Lab event, unveiled AI projects Metas work AI research metaverse reality. Meta working new class generative AI models allow people create entire worlds speech alone, improve people interact voice assistants, bypass linguistics barrier translating languages. If wondering create world words, Meta answer form Builder Bot. In demonstration, appeared legless 3D avatar island gave speech commands create beach add clouds, trees, picnic blanket. This feature developed further, course, future, able create nuanced worlds explore share experiences others, voice. Coming people interact voice assistants, companys Project CAIRaoke help communicate AI metaverse. It, according Zuckerberg, fully endtoend neural model building ondevice assistants. With Builder Bot CAIRaoke, AI assistants improved allow AI world experience people entered virtual reality headsets glasses, Zuckerberg said. Meta work selfsupervised learning prepare AI interpret predict types interactions occur metaverse. It working egocentric data, involves seeing worlds firstperson perspective. But wait, more. Project CAIRaoke Metas videocalling Portal device Meta aimed integrate devices AR VR. Metas VP AI Jrme Pesenti said tightly restricting responses new CAIRaokebased assistant ensure generate offensive language. AI moderate activity content metaverse, Meta exploring avenue. The company investing AI past 10 years today, lot AI moderation main platforms. Additionally, metaverse remove barriers languages completely. This possible universal speech translator company working on, capable translating written languages. The company aiming provide instant speechtospeech translation languages. The ability communicate language superpower dreamt forever, Zuckerberg said. 0 0 0 RECENT STORIES Twitter suspends restores accounts keeping people informed Russian military February 24, 2022Soumyadeep Sarkar2 minute read BharatPe cofounder Ashneer Grovers wife, Madhuri Jain reportedly fired BharatPe misappropriation funds February 24, 2022Soumyadeep Sarkar2 minute read Heres need know Intels Bonanza Mine BMZ1 blockchain accelerator chip February 23, 2022Soumyadeep Sarkar2 minute read IvyCap announces close 215Mn fund, targets nearly 270Mn final close February 23, 2022Staff Tech Portal1 minute read Tim Ferriss, AngelLists Naval Ravikant Galaxy, new 45Mn fund aimed creating angel investors startup founders February 23, 2022Global Staff @ The Tech Portal2 minute read Global News Twitter Twitter suspends restores accounts keeping people informed Russian military The tensions Ukraine Russia escalating fast entered Soumyadeep SarkarFebruary 24, 20222 minute read Business News BharatPe cofounder Ashneer Grovers wife, Madhuri Jain reportedly fired BharatPe misappropriation funds Things heading right way BharatPe Soumyadeep SarkarFebruary 24, 2022 2 shares 2 0 0 0 0 0 0 2 minute read Business Crypto Global News Heres need know Intels Bonanza Mine BMZ1 blockchain accelerator chip The process mining Bitcoin complicated massive computing system, Soumyadeep SarkarFebruary 23, 2022 16 shares 16 0 0 0 0 0 0 2 minute read News Startups Venture Capital IvyCap announces close 215Mn fund, targets nearly 270Mn final close IvyCap, relies heavily generating capital Indias strongest Staff Tech PortalFebruary 23, 20221 minute read EDITORIAL CONTACT Advertise With Us Hindi Edition CARTHRUST SPRINGTIDE 20152020 Blue Box Media Private Limited India. . The Tech Portal registered trademark Blue Box Media Private Limited
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https://thinkcuriouser.com/uncategorized/305273/global-artificial-intelligence-and-machine-learning-market-growth-analysis-by-2027-ibm-luminoso-amazon-qualcomm-facebook-google/
| 2020-10-26T00:00:00 |
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Global Artificial Intelligence and Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google – The Think Curiouser
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Global Artificial Intelligence and Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google – The Think Curiouser
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Global Artificial Intelligence and Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google
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This extensive research report focusing on Global Artificial Intelligence and Machine Learning Market portrays a detailed analytical assessment of notable trends, future specific market growth opportunities, end-user profile as well as challenge overview of the current Artificial Intelligence and Machine Learning ecosystem to derive logical deductions of the entire vendor activities and regional developments that render high potential growth. The primary focus of the report is to highlight and understand multiple market developments across the global Artificial Intelligence and Machine Learning market ecosystem that influences logical reader discretion.
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Global Artificial Intelligence and Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google
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Global Artificial Intelligence Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Uncategorized Global Artificial Intelligence Machine Learning Market Growth Analysis By 2027: IBM, Luminoso, Amazon, Qualcomm, Facebook, Google Post author By anita Post date October 26, 2020 This extensive research report focusing Global Artificial Intelligence Machine Learning Market portrays detailed analytical assessment notable trends, future specific market growth opportunities, enduser profile challenge overview current Artificial Intelligence Machine Learning ecosystem derive logical deductions entire vendor activities regional developments render high potential growth. 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Further report, readers offered substantial cues hints market strategies undertaken manufacturers operating local global realms. Key Manufacturers Analysis: IBM Luminoso Amazon Qualcomm Facebook Google AIBrain Iris AI Anki Deepmind CloudMinds Apple An effortless deduction strategies aid market players know potential business tactics tricks potential steering high revenue growth concomitant returns global Artificial Intelligence Machine Learning market. Make enquiry report @ Key Segment Analysis: Global Artificial Intelligence Machine Learning Market Aligning reader preferences thoughtful business analysis, report global Artificial Intelligence Machine Learning market categorizes market significant segments. Analysis Product Type: The report includes indetail references notable product categories application specifications. The product segment described basis key player development traits, sales overview, volume based returns like. Deep Learning Natural Language Processing Machine Vision Others Application Analysis: Global Artificial Intelligence Machine Learning market specifically underpins enduse application scope improvements based technological developments consumer preferences. BFSI Healthcare Life Sciences Retail Telecommunication Government Defense Manufacturing Energy Utilities Others Crucial Takeaways: Global Artificial Intelligence Machine Learning Market 1. Committed offer real time data ongoing market developments trends, detailed research report global Artificial Intelligence Machine Learning market entails clear detailed overview Artificial Intelligence Machine Learning market amidst global pandemic pandemic management operation designed implemented frontline contributing players alike. 2. 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] | 1 | 3,166 |
https://time.com/6227623/ai-medical-imaging-radiology/
| 2022-11-04T00:00:00 |
en
|
How AI Is Changing Medical Imaging | Time
|
How AI Is Changing Medical Imaging | Time
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Health
Innovation
How AI Is Changing Medical Imaging to Improve Patient Care
How AI Is Changing Medical Imaging to Improve Patient Care
By
Alice Park
and
Video by Andrew D. Johnson
November 4, 2022 9:00 AM EDT
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss. Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of the body, then the next decades will be dedicated to interpreting that data to ensure nothing is overlooked.
Imaging is also evolving from its initial focus—diagnosing medical conditions—to playing an integral part in treatment as well, especially in the area of cancer. Doctors are beginning to lean on imaging to help them monitor tumors and the spread of cancer cells so that they have a better, faster way of knowing if therapies are working. That new role for imaging will transform the types of treatments patients will receive, and vastly improve the information doctors get about how well they’re working, so that they can ultimately make better choices about what treatment options they need. “In the next five years, we will see functional imaging become part of care,” says Dr. Basak Dogan, associate professor of radiology at University of Texas Southwestern Medical Center. “We don’t see the current standard imaging answering the real clinical questions. But functional techniques will be the answer for patients who want higher precision in their care so they can make better informed decisions.”
Detecting problems earlier The first hurdle in making the most of what images can offer—whether they are X-rays, computerized tomography (CT) scans, magnetic resonance imaging (MRI), or ultrasounds—is to automate the reading of them as much as possible, which saves radiologists valuable time. Computer-aided algorithms have proven their worth in this area, as massive computing power has made it possible to train computers to distinguish abnormal from normal findings. Software specialists and radiologists have been teaming up for years to come up with these formulas; radiologists feed computer programs their findings on tens of thousands of normal and abnormal images, which teaches the computer to distinguish when images contain things that fall outside of normal parameters. The more images the computer has to compare and learn from, the better it becomes at fine-tuning the distinctions. For the U.S. Food and Drug Administration (FDA) to approve an algorithm involving imaging, it must be accurate 80% to 90% of the time. So far, the FDA has approved about 420 of these for various diseases (mostly cancer). The FDA still requires that a human be the ultimate arbiter of what the machine-learning algorithm finds, but such techniques are critical for flagging images that might contain suspicious findings for doctors to review—and ultimately provide faster answers for patients.
Read More: The Virus Hunters Trying to Prevent the Next Pandemic At Mass General Brigham, doctors use about 50 such algorithms to help them with patient care, ranging from detecting aneurysms and cancers to spotting embolisms and signs of stroke among emergency-room patients, many of whom will present with general symptoms that these conditions share. About half have been approved by the FDA, and the remaining ones are being tested in patient care. “The goal is to find things early. In some cases, it may take humans days to find an accurate diagnosis, whereas computers can run without sleep continuously and find those patients who need care right away,” says Dr. Keith Dreyer, chief data science officer and vice chairman of radiology at Mass General Brigham. “If we can use computers to do that, then it gets that patient to treatment much faster.” Tracking patients more thoroughly While computer-assisted triaging is the first step in integrating AI-based support in medicine, machine learning is also becoming a powerful way to monitor patients and track even the smallest changes in their conditions. This is especially critical in cancer, where the tedious task of determining whether someone’s tumor is growing, shrinking, or remaining the same is essential for making decisions about how well treatments are working. “We have trouble understanding what is happening to the tumor as patients undergo chemotherapy,” says Dogan. “Our standard imaging techniques unfortunately can’t detect any change until after midway through chemo”—which can be months into the process—“when some kind of shrinkage starts occurring.”
Imaging can be useful in those situations by picking up changes in tumors that aren’t related to their size or anatomy. “In the very early stages of chemotherapy, most of the changes in a tumor are not quite at the level of cell death,” says Dogan. “The changes are related to modifying interactions between the body’s immune cells and cancer cells.” And in many cases, cancer doesn’t shrink in a predictable way from the outside in. Instead, pockets of cancer cells within a tumor may die off, while others continue to thrive, leaving the overall mass more pockmarked, like a moth-eaten sweater. In fact, because some of that cell death is connected to inflammation, the size of the tumor may even increase in some cases, even though that doesn’t necessarily indicate more cancer cell growth. Standard imaging currently can’t distinguish how much of a tumor is still alive and how much is dead.The most commonly used breast-cancer imaging techniques, mammography and ultrasound, are designed instead to pick up anatomical features. Read More: The Race to Make a Vaccine for Breast Cancer At UT Southwestern, Dogan is testing two ways that imaging can be used to track functional changes in breast cancer patients. In one, using funding from the National Institutes of Health, she is imaging breast cancer patients after one cycle of chemotherapy to pick up slight changes in pressure around the tumor by injecting microbubbles of gas. Ultrasound measures changes in pressure of these bubbles, which tend to accumulate around tumors; growing cancers have more blood vessels to support their expansion, compared to other tissues.
In another study, Dogan is testing optoacoustic imaging, which turns light into sound signals. Lasers are shone on breast tissue, causing cells to oscillate, which creates sound waves that are captured and analyzed. This technique is well suited to detect tumors’ oxygen levels, since cancer cells tend to need more oxygen than normal cells to continue growing. Changes in sound waves can detect which parts of the tumor are still growing, and which are not. “Just by imaging the tumor, we can tell which are most likely to metastasize to the lymph nodes and which are not,” says Dogan. Currently, clinicians can’t tell which cancers will spread to the lymph and which won’t. “It could give us information about how the tumor is going to behave and potentially save patients unnecessary lymph node surgeries that are now part of standard care.” The technique could also help find early signs of cancer cells that have spread to other parts of the body, well before they show up in visual scans and without the need for invasive biopsies. Focusing on organs to which cancer cells typically spread, such as the bones, liver, and lungs, could give doctors a head start on catching these new deposits of cancer cells.
Spotting unseen abnormalities With enough data and images, these algorithms could even find aberrations for any condition that no human could detect, says Dreyer. His team is also working on developing an algorithm that measures certain biomarkers in the human body, whether anatomical or functional, so it can flag changes in those metrics that could suggest someone is likely to have a stroke, fracture, heart attack, or some other adverse event. That’s the holy grail of imaging, says Dreyer, and while it’s a few years away, “those are the kinds of things that are going to be transformational in healthcare for AI.” To get there, it will take tons and tons of data from hundreds of thousands of patients. But the siloed health care systems of the U.S. mean that pooling such information is challenging. Federated learning, in which scientists develop algorithms that are applied to different institutions’ anonymized patient-information databases, is one solution. That way, privacy is maintained and institutions won’t have to jeopardize their secure systems. Read More: How Researchers Are Working to Make IVF More Effective If more of those models are validated, through federated learning or otherwise, AI-based imaging could even start to help patients at home. As COVID-19 made self-testing and telehealth more routine, people may eventually be able to get imaging information through portable ultrasounds provided via a smartphone app, for example.
“The real change in health care that is going to happen from AI is that it will deliver a lot of solutions to patients themselves, or before they become patients, so that they can stay healthy,” says Dreyer. That would perhaps be the most potent way to optimize imaging: by empowering patients to learn from and make the most informed decisions possible about protecting their health.
More Must-Read Stories From TIME
How Lula Won the Most Crucial Election in Brazil for Decades A Year Ago, Facebook Pivoted to the Metaverse. Was It Worth It? How Far Our Climate Goals Have Slipped Out of Reach, In a Single Chart Column: Adidas’ Initial Silence on Kanye West Is a Cautionary Tale for Other Brands All the Michael Myers Halloween Movies Ranked From Worst to Best L.A. Was the Only Big District to Improve Student Scores This Year. Here’s How They Did It The Pennsylvania Senate Race Tests the Vibes Theory of Politics Why I Stopped Running to Win
Write to Andrew D. Johnson at [email protected].
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How AI Is Changing Medical Imaging
|
How AI Is Changing Medical Imaging Time TIME logo Connect Wallet Wallet Settings Disconnect Wallet MetaMask WalletConnect My Account Manage Account Digital Magazines r Benefits Help Center Sign Out SUBSCRIBE FOR 99 Spotlight Story TIMEs New Cover Close My Account Manage Account Digital Magazines r Benefits Help Center Sign Out Sections Home U.S. Politics World Health Climate Personal Finance NextAdvisor Future Work Charter Business Tech Entertainment Ideas Science History Sports Magazine TIME 2030 TIME Studios Video TIME100 Talks TIMEPieces The TIME Vault TIME Health TIME Kids TIME Edge Red Border: Branded Content TIME Join Us Newsletters r Benefits Give Gift Shop TIME Store Connect Wallet Customer Care US Canada Global Help Center Reach Out Careers Press Room Editors Media Kit Reprints Permissions More Your California Privacy Rights Terms Use Site Map Connect Us Health Innovation How AI Is Changing Medical Imaging Improve Patient Care How AI Is Changing Medical Imaging Improve Patient Care By Alice Park Video Andrew D. Johnson November 4, 2022 9:00 AM EDT That doctors peer human body making single incision like miraculous concept. But medical imaging radiology come long way, latest artificial intelligence AIdriven techniques going further: exploiting massive computing abilities AI machine learning body scans differences human eye miss. Imaging medicine involves sophisticated ways analyzing data point distinguish disease health signal noise. If decades radiology refining resolution pictures taken body, decades dedicated interpreting data ensure overlooked. Imaging evolving initial focusdiagnosing medical conditionsto playing integral treatment well, especially area cancer. Doctors beginning lean imaging help monitor tumors spread cancer cells better, faster way knowing therapies working. That new role imaging transform types treatments patients receive, vastly improve information doctors theyre working, ultimately better choices treatment options need. In years, functional imaging care, says Dr. Basak Dogan, associate professor radiology University Texas Southwestern Medical Center. We dont current standard imaging answering real clinical questions. But functional techniques answer patients want higher precision care better informed decisions. Detecting problems earlier The hurdle making images offerwhether Xrays, computerized tomography CT scans, magnetic resonance imaging MRI, ultrasoundsis automate reading possible, saves radiologists valuable time. Computeraided algorithms proven worth area, massive computing power possible train computers distinguish abnormal normal findings. Software specialists radiologists teaming years come formulas; radiologists feed programs findings tens thousands normal abnormal images, teaches distinguish images contain things fall outside normal parameters. The images compare learn from, better finetuning distinctions. For U.S. Food Drug Administration FDA approve algorithm involving imaging, accurate 80 90 time. So far, FDA approved 420 diseases cancer. The FDA requires human ultimate arbiter machinelearning algorithm finds, techniques critical flagging images contain suspicious findings doctors reviewand ultimately provide faster answers patients. Read More: The Virus Hunters Trying Prevent Next Pandemic At Mass General Brigham, doctors use 50 algorithms help patient care, ranging detecting aneurysms cancers spotting embolisms signs stroke emergencyroom patients, present general symptoms conditions share. About half approved FDA, remaining ones tested patient care. The goal things early. In cases, humans days accurate diagnosis, computers run sleep continuously patients need care right away, says Dr. Keith Dreyer, chief data science officer vice chairman radiology Mass General Brigham. If use computers that, gets patient treatment faster. Tracking patients thoroughly While computerassisted triaging step integrating AIbased support medicine, machine learning powerful way monitor patients track smallest changes conditions. This especially critical cancer, tedious task determining someones tumor growing, shrinking, remaining essential making decisions treatments working. We trouble understanding happening tumor patients undergo chemotherapy, says Dogan. Our standard imaging techniques unfortunately detect change midway chemowhich months processwhen kind shrinkage starts occurring. Imaging useful situations picking changes tumors arent related size anatomy. In early stages chemotherapy, changes tumor level cell death, says Dogan. The changes related modifying interactions bodys immune cells cancer cells. And cases, cancer doesnt shrink predictable way outside in. Instead, pockets cancer cells tumor die off, continue thrive, leaving overall mass pockmarked, like motheaten sweater. In fact, cell death connected inflammation, size tumor increase cases, doesnt necessarily indicate cancer cell growth. Standard imaging currently distinguish tumor alive dead.The commonly breastcancer imaging techniques, mammography ultrasound, designed instead pick anatomical features. Read More: The Race Make Vaccine Breast Cancer At UT Southwestern, Dogan testing ways imaging track functional changes breast cancer patients. In one, funding National Institutes Health, imaging breast cancer patients cycle chemotherapy pick slight changes pressure tumor injecting microbubbles gas. Ultrasound measures changes pressure bubbles, tend accumulate tumors; growing cancers blood vessels support expansion, compared tissues. In study, Dogan testing optoacoustic imaging, turns light sound signals. Lasers shone breast tissue, causing cells oscillate, creates sound waves captured analyzed. This technique suited detect tumors oxygen levels, cancer cells tend need oxygen normal cells continue growing. Changes sound waves detect parts tumor growing, not. Just imaging tumor, tell likely metastasize lymph nodes not, says Dogan. Currently, clinicians tell cancers spread lymph wont. It information tumor going behave potentially save patients unnecessary lymph node surgeries standard care. The technique help early signs cancer cells spread parts body, visual scans need invasive biopsies. Focusing organs cancer cells typically spread, bones, liver, lungs, doctors head start catching new deposits cancer cells. Spotting unseen abnormalities With data images, algorithms aberrations condition human detect, says Dreyer. His team working developing algorithm measures certain biomarkers human body, anatomical functional, flag changes metrics suggest likely stroke, fracture, heart attack, adverse event. Thats holy grail imaging, says Dreyer, years away, kinds things going transformational healthcare AI. To there, tons tons data hundreds thousands patients. But siloed health care systems U.S. mean pooling information challenging. Federated learning, scientists develop algorithms applied different institutions anonymized patientinformation databases, solution. That way, privacy maintained institutions wont jeopardize secure systems. Read More: How Researchers Are Working Make IVF More Effective If models validated, federated learning otherwise, AIbased imaging start help patients home. As COVID19 selftesting telehealth routine, people eventually able imaging information portable ultrasounds provided smartphone app, example. The real change health care going happen AI deliver lot solutions patients themselves, patients, stay healthy, says Dreyer. That potent way optimize imaging: empowering patients learn informed decisions possible protecting health. More MustRead Stories From TIME How Lula Won Most Crucial Election Brazil Decades A Year Ago, Facebook Pivoted Metaverse. Was It Worth It? How Far Our Climate Goals Have Slipped Out Reach, In Single Chart Column: Adidas Initial Silence Kanye West Is Cautionary Tale Other Brands All Michael Myers Halloween Movies Ranked From Worst Best L.A. Was Only Big District Improve Student Scores This Year. Heres How They Did It The Pennsylvania Senate Race Tests Vibes Theory Politics Why I Stopped Running Win Write Andrew D. Johnson andrew.johnson You May Also Like Read Next Tesla Is No Longer Alone Electric Vehicle Race Next Up: Editors Pick America Needs Get Back Facts EDIT POST You reached limit free articles. PaywallIconsDevices Unlimited access PaywallIconsNewsletter Inside TIME newsletter, twice weekly PaywallIconsDigitalMagazine Access TIME Digital Magazine Now Already print subscriber? Go link subscription. Purchased TIMEPieces? Go connect wallet. Already digital account? . Now Or create free account access articles Existing print subscriber? Click here. Home U.S. Politics World Health Personal Finance NextAdvisor Future Work Charter Business Tech Entertainment Ideas Science History Newsfeed Sports Magazine The TIME Vault TIME For Kids TIME Edge Video Masthead Newsletters r Benefits Give Gift Shop TIME Store Careers Press Room TIME Studios U.S. Canada Customer Care Global Help Center Editors Reprints Permissions Site Map Media Kit 2022 TIME USA, LLC. . Use site constitutes acceptance , Your California Privacy Rights Do Not Sell My Personal Information. TIME receive compensation links products services website. Offers subject change notice.
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] | 1 | 3,167 |
https://timesofindia.indiatimes.com/gadgets-news/chatgpt-shows-unprecedented-growth-in-two-months-reaches-100-million-users-after-launch-report/articleshow/97570651.cms
| 2023-02-03T00:00:00 |
en
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ChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: Report - Times of India
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ChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: Report - Times of India Top SearchesGov bans 63 sites in indiaWordle answerCoin MasterGarena free fire redeem codesPS PlusBattlefieldSamsung Galaxy S23CryptocurrenciesEditionININUSSign InTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: ReportChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: ReportArghanshu Bose / TIMESOFINDIA.COM / Feb 3, 2023, 11:09 ISTShareAA+Text SizeSmallMediumLargeARTICLESChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: ReportAll about OnePlus 11 5G that is redefining the flagship smartphone experienceGarena Free Fire Max Redeem Codes for February 3: Win free costumes, skins and moreOppo Reno 8T 5G smartphone, Enco Air3 TWS to launch in India today: Expected features and moreLast month, Microsoft has announced another multibillion-dollar investment in OpenAI. Representative ImageMicrosoft-backed artificial intelligence research startup OpenAI launched the AI chatbot ChatGPT in November 2022. Since its launch, the chatbot has gone viral for its ability to process prompts and deliver human-like writings including -- essays, articles, jokes, job applications and even poems. According to a report by Reuters, analysts have said that the popular AI chatbot has reached 100 million users within two months of its release. As per the report, an analysis conducted by data firm Similarweb claims that in January, ChatGPT had about 590 million visits from 100 million unique users. Meanwhile, analysts at the investment bank UBS stated that the rate of growth was “unprecedented” for any consumer app.ChatGPT’s growth compared to other platformsThe report adds that the UBS analysts have written a note to mention that they “cannot recall a faster ramp in a consumer internet app,” in the last two decades. To compare, TikTok needed nine months since its launch to reach 100 million users, while Instagram required over two years to achieve the feat. This data was sourced from an app analysis firm named Sensor Tower.Analysts also believe that the viral launch of ChatGPT will give OpenAI a headstart against other AI-based companies. The growing usage is not only imposing significant computing expenses on OpenAI but has also offered important feedback that will help the chatbot to train responses. Other services from ChatGPTOpenAI has also developed the AI-powered image generator tool named Dall-E. The company mainly focuses on generative AI which is a technology trained with huge amounts of text and images and can create content from a simple text prompt.Read AlsoGoogle may introduce ChatGPT competitor in MayTech giant Google is preparing to introduce at least 20 artificial intelligence (AI)-powered tools and a search chatbot during its annual developer conference in May this year, amid pressure from OpenAI's ChatGPT, the media reported.Read AlsoMicrosoft to invest more in ChatGPT company OpenAIMicrosoft Corp said on Monday it would invest more in OpenAI, staking its future on the startup and tech behind the chatbot sensation ChatGPT, as well as setting the stage for more competition with its rival Alphabet Inc's Google. Recently touting a revolution in artificial intelligence (AI),ChatGPT Plus: What is itThe Microsoft-backed startup also recently announced a $20 monthly subscription for ChatGPT. Initially, this subscription-based service was launched only for users in the US. The paid version of ChatGPT claims to provide a more stable and faster service. Moreover, paid users will also have the opportunity to become the first ones to try out new features. Microsoft’s investment in OpenAI Last month, Microsoft has announced another multibillion-dollar investment in OpenAI. The investment was made in the form of cash and assistance with cloud computing. Microsoft has also launched a premium version of its Teams platform which is backed by ChatGPT. This platform offers AI-powered features like automatically-generated meeting notes and more. The tool even divides recaps of meetings into sections which are based on the meeting transcript.Also Watch:Is ChatGPT the Google killer? | OpenAI ChatGPTStart a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Popular Xbox Game Pass games available right nowGadgetsPopular PS Plus Extra games available right nowGadgetsSamsung Galaxy S23 Ultra: Meet the new Android powerhouseGadgets10 useful apps for Chromebook usersGadgetsTips to stay safe on InstagramGadgetsGalaxy Unpacked event: What to expect from Galaxy S23 seriesGadgetsSamsung Galaxy Unpacked 2023: What to expectGadgetsBest features coming in 2023 to Xbox Game PassGadgetsOnePlus event on February 7: What to expectGadgets10 Samsung phones under Rs 15,000Gadgets123BudgetBudget 2023 LiveNew Income tax slabs 2023Income Tax CalculatorRailway BudgetBudget for HighlightsEconomic SurveyBudget for Auto SectorBudget For IndustriesTop TrendingHyderabad SecretariatKerala Budget 2023Rishabh PantNew Income tax slabsBangalore Traffic FinesHoroscope TodayTrending StoriesIn TechEntire WebsiteCoin Master: February 3, 2023 Free Spins and Coins linkGarena Free Fire Max Redeem Codes for February 3: Win free costumes, skins and moreOppo Reno 8T 5G smartphone, Enco Air3 TWS to launch in India today: Expected features and moreWordle 594 answer for February 3: Wordle 594 hints, clues, and answers for todayApple releases first Indian film shot on iPhone: All the detailsExcel with IISc’s Micro & Nanoelectronics programOneplus 11 5G: Redefining flagship smartphone experienceWhy you must laminate your home with Asian PaintsIndia's first Apple Store is coming soon, confirms CEO Tim CookTim Cook on why Apple is feeling "very good" about IndiaUnion Budget 2023: 1 crore in Rs 5-7L income range set to gain from new tax regimeAdani stock rout continues, erases half of group valuePix, maps: Decoding India-China situation at DemchokPentagon tracking Chinese spy balloon flying over western USGoogle workers stage rallies against job cuts, low wagesRailway Budget: Vande Bharat, Hydrogen train prime focusWhy Peshawar bombing must worry both Pakistan and IndiaGovt likely to clear 5 names for elevation as SC judgesCovid lying low in India, do we still need booster?I always accept my shortcomings & learn from them: Hina KhanAbout usCreate Your Own AdTerms of Use and Grievance Redressal Policy Privacy policyAdvertise with usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI am GujaratTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraMumbai MirrorBangalore MirrorPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth & Fitness TipsIndian TV ShowsCelebrity PhotosHot on the WebK Viswanath Death NewsSupriya BopannaTollywood ActressesShark Tank India 2Bollywood NewsNysa DevganJennifer AnistonShriya SaranRakhi SawantCancer SymptomsTop TrendsHyderabad SecretariatKerala Budget 2023Rishabh PantNew Income tax slabsBangalore Traffic FinesHoroscope TodayGautam AdaniNirmala SitharamanAyodhya Ram MandirChinese Spy BalloonTyre NicholsICAI CA Foundation ResultGeorge PellLionel MessiAdani NewsRussia Ukaraine War LiveRailway BudgetCryptocurrency Price in IndiaTrending TopicsPooja HegdeHeart Attack SymptomsSwastika MukherjeeAhan ShettyPathan CollectionKrushna AbhishekNora FatehiPriyanka ChopraBollywood CelebsKapil Sharma Family PhotosTamannaahAshika AsokanRelationships TipsZero Calories FoodRakul Preet SinghTrisha KrishnanVivo Y55sLaptops under 30000WiFi RoutersTablets under 15000Living and entertainmentiDivaMensXP.comFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareOnline SongsTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombiaCopyright © 2023 Bennett, Coleman & Co. 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ChatGPT shows “unprecedented” growth in two months, reaches 100 million users after launch: Report
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ChatGPT shows unprecedented growth months, reaches 100 million users launch: Report Times India Top esGov bans 63 sites indiaWordle answerCoin MasterGarena free redeem codesPS PlusBattlefieldSamsung Galaxy S23CryptocurrenciesEditionININUSTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsChatGPT shows unprecedented growth months, reaches 100 million users launch: ReportChatGPT shows unprecedented growth months, reaches 100 million users launch: ReportArghanshu Bose TIMESOFINDIA.COM Feb 3, 2023, 11:09 ISTShareAAText SizeSmallMediumLargeARTICLESChatGPT shows unprecedented growth months, reaches 100 million users launch: ReportAll OnePlus 11 5G redefining flagship smartphone experienceGarena Free Fire Max Redeem Codes February 3: Win free costumes, skins moreOppo Reno 8T 5G smartphone, Enco Air3 TWS launch India today: Expected features moreLast month, Microsoft announced multibilliondollar investment OpenAI. Representative ImageMicrosoftbacked artificial intelligence research startup OpenAI launched AI chatbot ChatGPT November 2022. Since launch, chatbot gone viral ability process prompts deliver humanlike writings including essays, articles, jokes, job applications poems. According report Reuters, analysts said popular AI chatbot reached 100 million users months release. As report, analysis conducted data firm Similarweb claims January, ChatGPT 590 million visits 100 million unique users. Meanwhile, analysts investment bank UBS stated rate growth unprecedented consumer app.ChatGPTs growth compared platformsThe report adds UBS analysts written note mention recall faster ramp consumer internet app, decades. To compare, TikTok needed months launch reach 100 million users, Instagram required years achieve feat. This data sourced app analysis firm named Sensor Tower.Analysts believe viral launch ChatGPT OpenAI headstart AIbased companies. The growing usage imposing significant computing expenses OpenAI offered important feedback help chatbot train responses. Other services ChatGPTOpenAI developed AIpowered image generator tool named DallE. The company mainly focuses generative AI technology trained huge amounts text images create content simple text prompt.Read AlsoGoogle introduce ChatGPT competitor MayTech giant Google preparing introduce 20 artificial intelligence AIpowered tools search chatbot annual developer conference May year, amid pressure OpenAIs ChatGPT, media reported.Read AlsoMicrosoft invest ChatGPT company OpenAIMicrosoft Corp said Monday invest OpenAI, staking future startup tech chatbot sensation ChatGPT, setting stage competition rival Alphabet Google. Recently touting revolution artificial intelligence AI,ChatGPT Plus: What itThe Microsoftbacked startup recently announced 20 monthly subscription ChatGPT. Initially, subscriptionbased service launched users US. The paid version ChatGPT claims provide stable faster service. Moreover, paid users opportunity ones try new features. Microsofts investment OpenAI Last month, Microsoft announced multibilliondollar investment OpenAI. The investment form cash assistance cloud computing. Microsoft launched premium version Teams platform backed ChatGPT. This platform offers AIpowered features like automaticallygenerated meeting notes more. The tool divides recaps meetings sections based meeting transcript.Also Watch:Is ChatGPT Google killer? OpenAI ChatGPTStart ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Popular Xbox Game Pass games available right nowGadgetsPopular PS Plus Extra games available right nowGadgetsSamsung Galaxy S23 Ultra: Meet new Android powerhouseGadgets10 useful apps Chromebook usersGadgetsTips stay safe InstagramGadgetsGalaxy Unpacked event: What expect Galaxy S23 seriesGadgetsSamsung Galaxy Unpacked 2023: What expectGadgetsBest features coming 2023 Xbox Game PassGadgetsOnePlus event February 7: What expectGadgets10 Samsung phones Rs 15,000Gadgets123BudgetBudget 2023 LiveNew ome tax slabs 2023ome Tax CalculatorRailway BudgetBudget HighlightsEconomic SurveyBudget Auto SectorBudget For IndustriesTop TrendingHyderabad SecretariatKerala Budget 2023Rishabh PantNew ome tax slabsBangalore Traffic FinesHoroscope TodayTrending StoriesIn TechEntire WebsiteCoin Master: February 3, 2023 Free Spins Coins linkGarena Free Fire Max Redeem Codes February 3: Win free costumes, skins moreOppo Reno 8T 5G smartphone, Enco Air3 TWS launch India today: Expected features moreWordle 594 answer February 3: Wordle 594 hints, clues, answers todayApple releases Indian film shot iPhone: All detailsExcel IIScs Micro Nanoelectronics programOneplus 11 5G: Redefining flagship smartphone experienceWhy laminate home Asian PaintsIndias Apple Store coming soon, confirms CEO Tim CookTim Cook Apple feeling good IndiaUnion Budget 2023: 1 crore Rs 57L income range set gain new tax regimeAdani stock rout continues, erases half group valuePix, maps: Decoding IndiaChina situation DemchokPentagon tracking Chinese spy balloon flying western USGoogle workers stage rallies job cuts, low wagesRailway Budget: Vande Bharat, Hydrogen train prime focusWhy Peshawar bombing worry Pakistan IndiaGovt likely clear 5 names elevation SC judgesCovid lying low India, need booster?I accept shortcomings learn them: Hina KhanAbout usCreate Your Own AdTerms Use Grievance Redressal Policy Privacy policyAdvertise usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI GujaratTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraMumbai MirrorBangalore MirrorPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth Fitness TipsIndian TV ShowsCelebrity PhotosHot WebK Viswanath Death NewsSupriya BopannaTollywood ActressesShark Tank India 2Bollywood NewsNysa DevganJennifer AnistonShriya SaranRakhi SawantCancer SymptomsTop TrendsHyderabad SecretariatKerala Budget 2023Rishabh PantNew ome tax slabsBangalore Traffic FinesHoroscope TodayGautam AdaniNirmala SitharamanAyodhya Ram MandirChinese Spy BalloonTyre NicholsICAI CA Foundation ResultGeorge PellLionel MessiAdani NewsRussia Ukaraine War LiveRailway BudgetCryptocurrency Price IndiaTrending TopicsPooja HegdeHeart Attack SymptomsSwastika MukherjeeAhan ShettyPathan CollectionKrushna AbhishekNora FatehiPriyanka ChopraBollywood CelebsKapil Sharma Family PhotosTamannaahAshika AsokanRelationships TipsZero Calories FoodRakul Preet SinghTrisha KrishnanVivo Y55sLaptops 30000WiFi RoutersTablets 15000Living entertainmentiDivaMensXP.comFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareOnline SongsTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombia 2023 Bennett, Coleman Co. Ltd. . For reprint rights: Times Syndication Service
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] | 1 | 3,168 |
https://timesofindia.indiatimes.com/gadgets-news/microsoft-wants-governments-to-follow-these-five-principles-to-regulate-ai/articleshow/100526640.cms
| 2023-05-26T00:00:00 |
en
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Microsoft: Microsoft wants governments to follow these five principles to regulate AI - Times of India
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Microsoft: Microsoft wants governments to follow these five principles to regulate AI - Times of IndiaEditionININUSSign InTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsMicrosoft wants governments to follow these five principles to regulate AITrending TopicsTechnology Driven FacialsUse of Chat GPT for ChefsNokia C32 VS Realme Narzo N535G Phones with 108MP CameraiPhone Chat GPT App IndiaNeuralink Approval for Brain ChipCountries with Highest Twitter UsersTips Free up Smartphone StorageJugalbandi: Microsoft AI ChatbotGaming Enthusiasts CelebsTechnology Driven FacialsUse of Chat GPT for ChefsNokia C32 VS Realme Narzo N535G Phones with 108MP CameraiPhone Chat GPT App IndiaNeuralink Approval for Brain ChipCountries with Highest Twitter UsersTips Free up Smartphone StorageJugalbandi: Microsoft AI ChatbotGaming Enthusiasts CelebsTechnology Driven FacialsMicrosoft wants governments to follow these five principles to regulate AITIMESOFINDIA.COM / May 26, 2023, 15:30 ISTShareAA+Text SizeSmallMediumLargeYou're readingMicrosoft wants governments to follow these five principles to regulate AIStep back into the professional world confidently with ISB’s Digital Marketing and Analytics programmeOnePlus 12 likely specs and launch timeline tipped online: Here is what the smartphone may offerRead what Microsoft's president has to say about deep fakes being biggest AI concern“As technology moves forward, it’s just as important to ensure proper control over AI as it is to pursue its benefits. We are committed and determined as a company to develop and deploy AI in a safe and responsible way,” said Microsoft. Microsoft has been hyper-aggressive in integrating artificial intelligence into a host of its products and services. Ever since the AI boom kicked off, there has been a lot of talk about using AI responsibly. Brad Smith, president, Microsoft has laid out five broad principles that governments and authorities should follow to regulate AI. “As technology moves forward, it’s just as important to ensure proper control over AI as it is to pursue its benefits. We are committed and determined as a company to develop and deploy AI in a safe and responsible way,” said Smith in a blog post. What are the five principles?Smith explained how companies, governments can learn from each other. “We can all learn from each other. And no matter how good we may think something is today, we will all need to keep getting better,” he said in the blog post. Here are the principles that Microsoft wants governments to consider:Implement and build upon new government-led AI safety frameworksRequire safety brakes for AI systems that control critical infrastructureDevelop a broader legal and regulatory framework based on the technology architecture for AIPromote transparency and ensure academic and public access to AIPursue new public-private partnerships to use AI as an effective tool to address the inevitable societal challenges that come with new technologyHe also said that Microsoft as an organisation is governing AI within the company as well. “When it comes to AI governance, some of our most important learning has come from the detailed work required to review specific sensitive AI use cases,” he said. He also said that in the past six years, Microsoft has built a more compressive AI governance structure and systems across the company. “We didn’t start from scratch, borrowing instead from best practices for the protection of cybersecurity, privacy, and digital safety,” he added.Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Previous'Trending' games on PlayStation PlusGadgetsHow to set up two-factor authentication on FacebookGadgets10 strategy games on AndroidGadgetsSensors in modern-day cars and their usageGadgetsHow to set birthday reminders on Google ContactsGadgetsApple App Store Transparency Report: Interesting statsGadgetsSony PlayStation Showcase 2023: Every game revealedGadgetsHow to save Instagram stories to phone galleryGadgets5G smartphones with triple camera and 256GB storageGadgetsGen Z is 'changing' online dating: Tinder reportGadgets Next123ElectionsKarnataka Assembly SessionMadhya Pradesh ElectionsKarnataka AssemblyRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSNew Parliament BuildingWBJEE Result 2023Manipur Violence NewsPSEB 10th Result 2023IT Raid on Senthil BalajiGT vs MITrending StoriesIn TechEntire WebsiteNew Parliament opening: 20 parties say they'll boycott, 17 to attend8-9 hours of study, healthy social life: UPSC topper Ishita Kishore's secret to success'3rd time lucky': UPSC topper Ishita Kishore failed to clear prelims in 1st two triesHistoric 'Sengol' to be placed in new Parl building: Amit ShahLive: Australia will establish consulate in B'luru, Albanese saysISB’s Product Management ProgrammeHow Oakridgers are making it to top universitiesIIM Calcutta's DBL program for aspiring CXOsWomen bag top 4 ranks in civil services, 3 are from DU'Not acceptable': PM Modi raises issue of attacks on temples in Australia with PM AlbaneseForbidden zones in Ladakh's strategic Chang Chenmo sector to soon welcome touristsLive: Efforts to reduce imp of 'Sengol' sad, says AdheenamBakhmut: How Putin's war machine erased a cityDM coerced me to file complaint against Azam Khan: PlaintiffProject Cheetah team from Kuno attacked by villagers, 4 injuredWTC winning team to get USD 1.6 million prize money'Hotel' where Bollywood stars ate and mingled turns 100Tillu Tajpuria murder: 80 Tihar jail officials transferred10 most-powerful supercomputers in the worldRegister now: Webinar on importance of upskillingAbout usCreate Your Own AdTerms of Use and Grievance Redressal Policy Privacy policyAdvertise with usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI am GujaratTimes NowTimes Now NavbharatTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth & Fitness TipsIndian TV ShowsCelebrity PhotosHot on the WebRupali GangulyBeer BenefitsCannes Film FestivalSudha MurtySunny LeoneIndian ChutneysMrunal ThakurBharti SinghIndian MomShweta TiwariTop TrendsNew Parliament BuildingWBJEE Result 2023Manipur Violence NewsPSEB 10th Result 2023IT Raid on Senthil BalajiGT vs MIWorld Test Championship Prize MoneyAmit Shah75 Rupees CoinRSS BanSatyendar JainMBOSE SSLC Result 2023IPL 2023 Qualifier 2GSEB SSC Result 2023Karnataka Cabinet ExpansionMP Board 12th ResultIPL Schedule 2023World Test Championship FinalTrending TopicsHair CareTipsNawazuddin SiddiquiAshish Vidyarthi Wedding NewsKeerthy SureshEgg BenefitsPuja BanerjeeRelationships TipsDiabetes SymptomsCannes 2023Japanese FoodRaksha SomshekarKavya KalyanParenting TipsAditi RaoKazhuvethi MoorkkanAvneet KaurVivo Y55sLaptops under 30000WiFi RoutersTablets under 15000Living and entertainmentViral NewsViral VideosFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombiaCopyright © 2023 Bennett, Coleman & Co. Ltd. All rights reserved. For reprint rights: Times Syndication Service
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Microsoft: Microsoft wants governments to follow these five principles to regulate AI
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Microsoft: Microsoft wants governments follow principles regulate AI Times IndiaEditionININUSTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsMicrosoft wants governments follow principles regulate AITrending TopicsTechnology Driven FacialsUse Chat GPT ChefsNokia C32 VS Realme Narzo N535G Phones 108MP CameraiPhone Chat GPT App IndiaNeuralink Approval Brain ChipCountries Highest Twitter UsersTips Free Smartphone StorageJugalbandi: Microsoft AI ChatbotGaming Enthusiasts CelebsTechnology Driven FacialsUse Chat GPT ChefsNokia C32 VS Realme Narzo N535G Phones 108MP CameraiPhone Chat GPT App IndiaNeuralink Approval Brain ChipCountries Highest Twitter UsersTips Free Smartphone StorageJugalbandi: Microsoft AI ChatbotGaming Enthusiasts CelebsTechnology Driven FacialsMicrosoft wants governments follow principles regulate AITIMESOFINDIA.COM May 26, 2023, 15:30 ISTShareAAText SizeSmallMediumLargeYoure readingMicrosoft wants governments follow principles regulate AIStep professional world confidently ISBs Digital Marketing Analytics programmeOnePlus 12 likely specs launch timeline tipped online: Here smartphone offerRead Microsofts president deep fakes biggest AI concernAs technology moves forward, important ensure proper control AI pursue benefits. We committed determined company develop deploy AI safe responsible way, said Microsoft. Microsoft hyperaggressive integrating artificial intelligence host products services. Ever AI boom kicked off, lot talk AI responsibly. Brad Smith, president, Microsoft laid broad principles governments authorities follow regulate AI. As technology moves forward, important ensure proper control AI pursue benefits. We committed determined company develop deploy AI safe responsible way, said Smith blog post. What principles?Smith explained companies, governments learn other. We learn other. And matter good think today, need getting better, said blog post. Here principles Microsoft wants governments consider:Implement build new governmentled AI safety frameworksRequire safety brakes AI systems control critical infrastructureDevelop broader legal regulatory framework based technology architecture AIPromote transparency ensure academic public access AIPursue new publicprivate partnerships use AI effective tool address inevitable societal challenges come new technologyHe said Microsoft organisation governing AI company well. When comes AI governance, important learning come detailed work required review specific sensitive AI use cases, said. He said past years, Microsoft built compressive AI governance structure systems company. We didnt start scratch, borrowing instead best practices protection cybersecurity, privacy, digital safety, added.Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories PreviousTrending games PlayStation PlusGadgetsHow set twofactor authentication FacebookGadgets10 strategy games AndroidGadgetsSensors modernday cars usageGadgetsHow set birthday reminders Google sGadgetsApple App Store Transparency Report: Interesting statsGadgetsSony PlayStation Showcase 2023: Every game revealedGadgetsHow save Instagram stories phone galleryGadgets5G smartphones triple camera 256GB storageGadgetsGen Z changing online dating: Tinder reportGadgets Next123ElectionsKarnataka Assembly SessionMadhya Pradesh ElectionsKarnataka AssemblyRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSNew Parliament BuildingWBJEE Result 2023Manipur Violence NewsPSEB 10th Result 2023IT Raid Senthil BalajiGT vs MITrending StoriesIn TechEntire WebsiteNew Parliament opening: 20 parties theyll boycott, 17 attend89 hours study, healthy social life: UPSC topper Ishita Kishores secret success3rd time lucky: UPSC topper Ishita Kishore failed clear prelims 1st triesHistoric Sengol placed new Parl building: Amit ShahLive: Australia establish consulate Bluru, Albanese saysISBs Product Management ProgrammeHow Oakridgers making universitiesIIM Calcuttas DBL program aspiring CXOsWomen bag 4 ranks civil services, 3 DUNot acceptable: PM Modi raises issue attacks temples Australia PM AlbaneseForbidden zones Ladakhs strategic Chang Chenmo sector soon welcome touristsLive: Efforts reduce imp Sengol sad, says AdheenamBakhmut: How Putins war machine erased cityDM coerced file complaint Azam Khan: PlaintiffProject Cheetah team Kuno attacked villagers, 4 injuredWTC winning team USD 1.6 million prize moneyHotel Bollywood stars ate mingled turns 100Tillu Tajpuria murder: 80 Tihar jail officials transferred10 mostpowerful supercomputers world now: Webinar importance upskillingAbout usCreate Your Own AdTerms Use Grievance Redressal Policy Privacy policyAdvertise usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI GujaratTimes NowTimes Now NavbharatTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth Fitness TipsIndian TV ShowsCelebrity PhotosHot WebRupali GangulyBeer BenefitsCannes Film FestivalSudha MurtySunny LeoneIndian ChutneysMrunal ThakurBharti SinghIndian MomShweta TiwariTop TrendsNew Parliament BuildingWBJEE Result 2023Manipur Violence NewsPSEB 10th Result 2023IT Raid Senthil BalajiGT vs MIWorld Test Championship Prize MoneyAmit Shah75 Rupees CoinRSS BanSatyendar JainMBOSE SSLC Result 2023IPL 2023 Qualifier 2GSEB SSC Result 2023Karnataka Cabinet ExpansionMP Board 12th ResultIPL Schedule 2023World Test Championship FinalTrending TopicsHair CareTipsNawazuddin SiddiquiAshish Vidyarthi Wedding NewsKeerthy SureshEgg BenefitsPuja BanerjeeRelationships TipsDiabetes SymptomsCannes 2023Japanese FoodRaksha SomshekarKavya KalyanParenting TipsAditi RaoKazhuvethi MoorkkanAvneet KaurVivo Y55sLaptops 30000WiFi RoutersTablets 15000Living entertainmentViral NewsViral VideosFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombia 2023 Bennett, Coleman Co. Ltd. . For reprint rights: Times Syndication Service
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https://tristateobserver.com/top-stories/167954/global-artificial-intelligence-in-military-market-top-players-analysis-by-2026-lockheed-martin-us-raytheon-us-northrop-grumman-us-ibm-us-thales-group-france-general-dynamics-us-nvid-2/
| 2020-12-07T00:00:00 |
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Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin (US), Raytheon (US), Northrop Grumman (US), IBM (US), Thales Group (France), General Dynamics (US), NVIDIA (US), BAE Systems (UK) etc. – Tri State Observer
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Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin (US), Raytheon (US), Northrop Grumman (US), IBM (US), Thales Group (France), General Dynamics (US), NVIDIA (US), BAE Systems (UK) etc. – Tri State Observer
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Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin (US), Raytheon (US), Northrop Grumman (US), IBM (US), Thales Group (France), General Dynamics (US), NVIDIA (US), BAE Systems (UK) etc.
Byanita_adroit
Dec 7, 2020
Global Artificial Intelligence In Military market is anticipated to embark on a nail-biting growth trajectory identified with several core factors and elements such as dominant trends and technological developments, along with prominent growth drivers and retardants that collectively influence overall growth scenario in global Artificial Intelligence In Military market. Further in the report readers are offered details on competition mapping that includes details on complete overview of major players. This section of the report categorically focuses on the versatility of manufacturer segment, highlighting prominent players. Each vendor profile has been assessed on the basis of stringent analytical parameters and research practices such as SWOT analysis.
As per high end research initiatives carried out by expert researchers and analysts, global Artificial Intelligence In Military market is likely to experience rampant growth upsurge, highlighting a favorable CAGR percentage throughout the growth span. Based on in-depth micro and macro-economic growth factors, global Artificial Intelligence In Military market is anticipated to demonstrate high potential growth and is anticipated to echo past growth trends even in the coming years.
The study encompasses profiles of major companies operating in the Artificial Intelligence In Military Market. Key players profiled in the report includes:
Lockheed Martin (US)
Raytheon (US)
Northrop Grumman (US)
IBM (US)
Thales Group (France)
General Dynamics (US)
NVIDIA (US)
BAE Systems (UK)
Market
We Have Recent Updates of Artificial Intelligence In Military Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4448367?utm_source=puja
Detailed Indicator Analysis: Global Artificial Intelligence In Military Market
This segment assessment clearly focuses on the array of novel changes and new investments made by market forerunners towards improving product qualities to align with end-use needs.The segmentation section of the market is diversified primarily it product and service based segmentation followed by application. Emphasis on other associated segment analysis have also been roped in the report.
The report also gauges into market performance and profitability ratio across a vast array of geographical domains to understand most dominant trends, manufacturer investments and end-user preferences across five different regions, besides also including prominent development leads across several countries.
By the product type, the market is primarily split into
Learning and Intelligence
Advanced Computing
AI Systems
By the end-users/application, this report covers the following segments
Information Processing
Cyber Security
Others
Global Artificial Intelligence In Military Market Segment Analysis• The report includes actionable insights and relevant data on diverse product offerings inclusive of product specifications, their revenue generation potential as well as manufacturer investments in product improvisation and consumer response in the area.• Based on application segments, this versatile research report on global Artificial Intelligence In Military market elaborates end-user and application specific milestones for best reader experience and guidance.• Various market sub-segments are also highlighted in the report besides moving forward with CAGR performance in the forecast tenure.
Browse Full Report with Facts and Figures of Artificial Intelligence In Military Market Report at @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-in-military-market-size-status-and-forecast-2020-2026?utm_source=puja
Detail Trend Analysis• The report progresses further with minute detailing of dominant as well as contributing trends that largely influence growth prognosis.• A thorough reference of technological innovations, product and service-based developments as well as policy alterations, funding schemes and the like are monitored aggressively to make appropriate deductions.
Geographical Segmentation and Competition Analysis– North America (U.S., Canada, Mexico)– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)– Latin America (Brazil, Rest of L.A.)– Middle East and Africa (Turkey, GCC, Rest of Middle East)
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Report Highlights:• A dedicated interpretation of innovative technological developments align with value and volume based assessment of the global Artificial Intelligence In Military market has been orchestrated• The report is in place to invoke tremendous revenue generation initiatives by carrying out thorough assessment of market dimensions in a bid to deduce market progression in terms of value and volume based market developments• The performance of each of the prominent segments, along with elaborate assessment of opportunity mapping, SWOT and PESTEL analysis along with data triangulation methodologies have been meticulously pinned in the report• These minute report details allow market participants and stakeholders to optimally understand the growth potential of the market, thus encouraging future ready investment decisions• The illustrative market research report is a brainchild creation to identify prevalent market threats, evaluate barrier limitations besides roping in details on growth stimuli that foster growth.
At the end of the report, readers are expected to understand the following market scenarios:
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Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin (US), Raytheon (US), Northrop Grumman (US), IBM (US), Thales Group (France), General Dynamics (US), NVIDIA (US), BAE Systems (UK) etc.
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Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin US, Raytheon US, Northrop Grumman US, IBM US, Thales Group France, General Dynamics US, NVIDIA US, BAE Systems UK etc. Tri State Observer Skip content Mon. Dec 7th, 2020 Tri State Observer All News Energy Space Top stories Top stories Global Artificial Intelligence In Military Market Top Players Analysis By 2026: Lockheed Martin US, Raytheon US, Northrop Grumman US, IBM US, Thales Group France, General Dynamics US, NVIDIA US, BAE Systems UK etc. Byanita_adroit Dec 7, 2020 Global Artificial Intelligence In Military market anticipated embark nailbiting growth trajectory identified core factors elements dominant trends technological developments, prominent growth drivers retardants collectively influence overall growth scenario global Artificial Intelligence In Military market. Further report readers offered details competition mapping includes details complete overview major players. This section report categorically focuses versatility manufacturer segment, highlighting prominent players. Each vendor profile assessed basis stringent analytical parameters research practices SWOT analysis. As high end research initiatives carried expert researchers analysts, global Artificial Intelligence In Military market likely experience rampant growth upsurge, highlighting favorable CAGR percentage growth span. Based indepth micro macroeconomic growth factors, global Artificial Intelligence In Military market anticipated demonstrate high potential growth anticipated echo past growth trends coming years. The study encompasses profiles major companies operating Artificial Intelligence In Military Market. Key players profiled report includes: Lockheed Martin US Raytheon US Northrop Grumman US IBM US Thales Group France General Dynamics US NVIDIA US BAE Systems UK Market We Have Recent Updates Artificial Intelligence In Military Market Sample [emailprotected] Detailed Indicator Analysis: Global Artificial Intelligence In Military Market This segment assessment clearly focuses array novel changes new investments market forerunners improving product qualities align enduse needs.The segmentation section market diversified primarily product service based segmentation followed application. Emphasis associated segment analysis roped report. The report gauges market performance profitability ratio vast array geographical domains understand dominant trends, manufacturer investments enduser preferences different regions, including prominent development leads countries. By product type, market primarily split Learning Intelligence Advanced Computing AI Systems By endusersapplication, report covers following segments Information Processing Cyber Security Others Global Artificial Intelligence In Military Market Segment Analysis The report includes actionable insights relevant data diverse product offerings inclusive product specifications, revenue generation potential manufacturer investments product improvisation consumer response area. Based application segments, versatile research report global Artificial Intelligence In Military market elaborates enduser application specific milestones best reader experience guidance. Various market subsegments highlighted report moving forward CAGR performance forecast tenure. Browse Full Report Facts Figures Artificial Intelligence In Military Market Report @ Detail Trend Analysis The report progresses minute detailing dominant contributing trends largely influence growth prognosis. A thorough reference technological innovations, product servicebased developments policy alterations, funding schemes like monitored aggressively appropriate deductions. Geographical Segmentation Competition Analysis North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Report Highlights: A dedicated interpretation innovative technological developments align value volume based assessment global Artificial Intelligence In Military market orchestrated The report place invoke tremendous revenue generation initiatives carrying thorough assessment market dimensions bid deduce market progression terms value volume based market developments The performance prominent segments, elaborate assessment opportunity mapping, SWOT PESTEL analysis data triangulation methodologies meticulously pinned report These minute report details allow market participants stakeholders optimally understand growth potential market, encouraging future ready investment decisions The illustrative market research report brainchild creation identify prevalent market threats, evaluate barrier limitations roping details growth stimuli foster growth. At end report, readers expected understand following market scenarios: :Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us:Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Global Cable Modem Termination System CMTS Converged Cable Access Platform CCAP Market Top Players Analysis By 2026: Arris US, Cisco US, Casa Systems US, Harmonic US, Nokia Finland, Huawei China, Broadcom US, Juniper US, Chongqing Jinghong China, Blonder Tongue Laboratories US, Sumavision Technologies Co China, Versa Technology US, C9 Networks US, Vecima Networks Canada, Teleste Corporation Finaland etc. Lowcalorie RTD Beverages Market Estimate To Grow At A Significant Rate Throughout The Forecast Period 2020 2027 By anita_adroit Related Post All News Top stories Enterprise VSAT System Market 2020 Analysis, Demand Growth, Current Trends Dec 7, 2020 arpit All News Top stories MCommerce Payments Market 2020 size share gain significant revenue 2030 Dec 7, 2020 arpit Top stories The Yellow Fever Vaccine Market Delve Deeper technological advancements Dec 7, 2020 kalyani Recent Posts Global Graphene Supercapacitors Market 2020 Size, Share, Trends With Major Players : Angstron Materials, XG Sciences, Bluestone Global Tech, Applied Graphene Materials Global Glyceryl Rosinate Market 2020 Size, Share, Trends With Major Players : Eastman, Parchem Fine Specialty Chemicals, Skyrun Industrial Co., Ltd. Enterprise VSAT System Market 2020 Analysis, Demand Growth, Current Trends Global Glyceryl Hydrogenated Rosinate Market 2020 Size, Share, Trends With Major Players : Eastman, Foreverest, Parchem Fine Specialty Chemicals, Neostar United Industrial Co. Global Glycerin Preservatives Market 2020 Size, Share, Trends With Major Players : Wilmar Oleochemicals, JIANGSU JINXIN GLYCEROL TECHNOLOGY CO., LTD, PandG Chemicals You missed All News Global Graphene Supercapacitors Market 2020 Size, Share, Trends With Major Players : Angstron Materials, XG Sciences, Bluestone Global Tech, Applied Graphene Materials Dec 7, 2020 jay All News Global Glyceryl Rosinate Market 2020 Size, Share, Trends With Major Players : Eastman, Parchem Fine Specialty Chemicals, Skyrun Industrial Co., Ltd. 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] | 1 | 3,170 |
https://turkeynewsgazette.com/bp-invests-us5-million-in-a-cloud-based-geospatial-analytics-software-company-that-uses-advanced-spectral-imagery-and-machine-learning-to-monitor-environmental-changes/
| 2020-07-01T00:00:00 |
en
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BP Invests US$5 Million in a Cloud-based Geospatial Analytics Software Company That Uses Advanced Spectral Imagery and Machine Learning to Monitor Environmental Changes | Turkey News Gazette
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BP Invests US$5 Million in a Cloud-based Geospatial Analytics Software Company That Uses Advanced Spectral Imagery and Machine Learning to Monitor Environmental Changes | Turkey News Gazette
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BP Invests US$5 Million in a Cloud-based Geospatial Analytics Software Company That Uses Advanced Spectral Imagery and Machine Learning to Monitor Environmental Changes
July 1, 2020
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BP’s Senior Vice President of digital science and engineering tells latest edition of the ADIPEC Energy Dialogue series oil and gas industry should use technology to reimagine global energy system
Companies urged to look outside industry for innovative new ideas and ways to use digital technologies to take industry forward
ABU DHABI, UAE, July 1, 2020 /PRNewswire/ — The global oil and gas industry needs to embrace a new business mindset and new digital skills if it is to reap the benefits from deploying advanced digital technologies, such as artificial intelligence, big data and analytics, robotics and quantum computing.
Participating in the latest ADIPEC Energy Dialogue, Morag Watson, BP senior vice president of digital science and engineering, said the oil and gas industry has been slower than other industries to open up to the possibilities of leveraging digital technologies in order to compete and succeed in the energy transition.
“For me it is not just about the technology,” Watson said. “Many of the technologies have been on a reasonably fast trajectory for a while. The industry has to be open to thinking, how can we do things differently?
“It doesn’t just happen by saying here are 10 robots that are going to do your work for you. It just doesn’t work that way. You have to have the right business mindset to make it possible for the technology to radically change how you do things.”
Highlighting the oil and gas industry is still at the beginning of how digital technologies can help it meet the challenges being created by the energy transition, Watson said companies should look outside the industry for innovative ideas on how to use digital technologies to help them stay successful.
Watson cited BP’s US $5 million investment in a Satelytics – a cloud-based geospatial analytics software company that uses advanced spectral imagery and machine learning to monitor environmental changes, including methane emissions – as an example of how BP is making strategic investments in innovative, game-changing technologies and businesses that can help it reimagine the global energy system.
“At BP we see our venture capital program and the companies we help as a source of innovation and a crucial part of our strategy going forward,” Watson said. “These people see things differently, things that we might not have seen for ourselves. We don’t have all the answers and we want to engage with the external eco-system because we know the great ideas and solutions will come from many, many different places, helping us to innovate through our many challenges as we move forward.”
Addressing the need to bring in new digital native talent into the oil and gas industry, Watson said it needs to do more to convince young people it offers exciting, fulfilling careers in an industry that is seeking answers to the greatest challenges facing the world, including climate change.
“The industry needs to embrace the diversity of talent that is available across the world and to inspire and attract people through a different lens by connecting them to the technology, or how we use it. A good example would be our investment in Beyond Limits, and saying how can we take technology that is used on Mars and apply that in the energy industry? That is a hugely inspiring story,” Watson said.
The ADIPEC Energy Dialogue is a series of weekly online thought leadership events created by dmg events, organisers of the annual Abu Dhabi International Petroleum Exhibition and Conference. Featuring key stakeholders and decision-makers in the oil and gas industry, the dialogues focus on how the industry is evolving and transforming in response to the rapidly changing energy market.
ADIPEC attracts more than 155,000 energy professionals from 67 countries; including senior decision-makers and energy industry thought leaders, over 2,200 exhibiting companies and 23 national exhibiting pavilions as oil and gas companies convene to share views and best practices to address the long-term impact of the triple challenge of lower oil prices, weaker demand and over supply.
Held under the patronage of His Highness Sheikh Khalifa Bin Zayed Al Nahyan, President of the UAE; hosted by the Abu Dhabi National Oil Company (ADNOC); and supported by the UAE Ministry of Energy & Industry, the Abu Dhabi Chamber, and the Abu Dhabi Tourism and Culture Authority, ADIPEC takes place at the Abu Dhabi National Exhibition Centre (ADNEC), Abu Dhabi, UAE.
To watch the full Energy Dialogue series go to: https://www.youtube.com/watch?v=FRfj495moBU
About ADIPEC
Held under the patronage of the President of the United Arab Emirates, His Highness Sheikh Khalifa Bin Zayed Al Nahyan, and organised by the Global Energy division of dmg events, ADIPEC is the global meeting point for oil and gas professionals. Standing as one of the world’s top energy events, and the largest in the Middle East and North Africa, ADIPEC is a knowledge-sharing platform that enables industry experts to exchange ideas and information that shape the future of the energy sector. The 36th edition of ADIPEC will be hosted by the Abu Dhabi National Oil Company (ADNOC) and supported by the UAE Ministry of Energy & Industry, Masdar, the Abu Dhabi Chamber, the Abu Dhabi Department of Culture and Tourism, Abu Dhabi Ports and the Department of Education and Knowledge. dmg events is committed to helping the growing international energy community.
Logo – https://mma.prnewswire.com/media/1176492/ADIPEC_Logo.jpg
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BP Invests US$5 Million in a Cloud-based Geospatial Analytics Software Company That Uses Advanced Spectral Imagery and Machine Learning to Monitor Environmental Changes
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BP Invests US5 Million Cloudbased Geospatial Analytics Software Company That Uses Advanced Spectral Imagery Machine Learning Monitor Environmental Changes Turkey News Gazette Skip content Wednesday, July 1, 2020 Turkey News Gazette Turkey News Gazette General Production Education Fashion Lifestyle Health Care Games Foreign Affairs Human Rights Press Release MENAPress Release BP Invests US5 Million Cloudbased Geospatial Analytics Software Company That Uses Advanced Spectral Imagery Machine Learning Monitor Environmental Changes July 1, 2020 Asianet Pakistan BPs Senior Vice President digital science engineering tells latest edition ADIPEC Energy Dialogue series oil gas industry use technology reimagine global energy Companies urged look outside industry innovative new ideas ways use digital technologies industry forward ABU DHABI, UAE, July 1, 2020 PRNewswire The global oil gas industry needs embrace new business mindset new digital skills reap benefits deploying advanced digital technologies, artificial intelligence, big data analytics, robotics quantum computing. Participating latest ADIPEC Energy Dialogue, Morag Watson, BP senior vice president digital science engineering, said oil gas industry slower industries open possibilities leveraging digital technologies order compete succeed energy transition. For technology, Watson said. Many technologies reasonably fast trajectory while. The industry open thinking, things differently? It doesnt happen saying 10 robots going work you. It doesnt work way. You right business mindset possible technology radically change things. Highlighting oil gas industry beginning digital technologies help meet challenges created energy transition, Watson said companies look outside industry innovative ideas use digital technologies help stay successful. Watson cited BPs US 5 million investment Satelytics cloudbased geospatial analytics software company uses advanced spectral imagery machine learning monitor environmental changes, including methane emissions example BP making strategic investments innovative, gamechanging technologies businesses help reimagine global energy system. At BP venture capital program companies help source innovation crucial strategy going forward, Watson said. These people things differently, things seen ourselves. We dont answers want engage external ecosystem know great ideas solutions come many, different places, helping innovate challenges forward. Addressing need bring new digital native talent oil gas industry, Watson said needs convince young people offers exciting, fulfilling careers industry seeking answers greatest challenges facing world, including climate change. The industry needs embrace diversity talent available world inspire attract people different lens connecting technology, use it. A good example investment Beyond Limits, saying technology Mars apply energy industry? That hugely inspiring story, Watson said. The ADIPEC Energy Dialogue series weekly online thought leadership events created dmg events, organisers annual Abu Dhabi International Petroleum Exhibition Conference. Featuring key stakeholders decisionmakers oil gas industry, dialogues focus industry evolving transforming response rapidly changing energy market. ADIPEC attracts 155,000 energy professionals 67 countries; including senior decisionmakers energy industry thought leaders, 2,200 exhibiting companies 23 national exhibiting pavilions oil gas companies convene share views best practices address longterm impact triple challenge lower oil prices, weaker demand supply. Held patronage His Highness Sheikh Khalifa Bin Zayed Al Nahyan, President UAE; hosted Abu Dhabi National Oil Company ADNOC; supported UAE Ministry Energy Industry, Abu Dhabi Chamber, Abu Dhabi Tourism Culture Authority, ADIPEC takes place Abu Dhabi National Exhibition Centre ADNEC, Abu Dhabi, UAE. To watch Energy Dialogue series to: About ADIPEC Held patronage President United Arab Emirates, His Highness Sheikh Khalifa Bin Zayed Al Nahyan, organised Global Energy division dmg events, ADIPEC global meeting point oil gas professionals. Standing worlds energy events, largest Middle East North Africa, ADIPEC knowledgesharing platform enables industry experts exchange ideas information shape future energy sector. The 36th edition ADIPEC hosted Abu Dhabi National Oil Company ADNOC supported UAE Ministry Energy Industry, Masdar, Abu Dhabi Chamber, Abu Dhabi Department Culture Tourism, Abu Dhabi Ports Department Education Knowledge. dmg events committed helping growing international energy community. Logo TUMI Builds On Legacy Of Innovation Through Sustainability ACI Foundation Now Accepting Applications For The Middle East North Africa Fellowship You May Also Like : February 1, 2019 Asianet Pakistan Organizing Work First China International Import Expo Fast Track March 23, 2018 Asianet Pakistan 8,000 3,700 September 12, 2016 Asianet Pakistan News Browse PagesHome Us Submit News Sitemap Advertisement Archives Archives Select Month 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 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 CategoriesGeneral Production Education Fashion Lifestyle Health Care Games Foreign Affairs Human Rights Press Release Calendar July 2020 M T W T F S S 12345 6789101112 13141516171819 20212223242526 2728293031 Jun 2020 Turkey News Gazette. .
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https://udaipurkiran.com/pm-modi-interacts-with-google-ceo-stresses-on-ai-use-in-agriculture-online-education/
| 2020-07-13T00:00:00 |
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PM Modi interacts with Google CEO; stresses on AI use in agriculture, online education | Udaipur News | Udaipur Latest News | udaipur local news
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PM Modi interacts with Google CEO; stresses on AI use in agriculture, online education | Udaipur News | Udaipur Latest News | udaipur local news
Monday , July 13 2020
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Home / HEADLINES / INDIA / PM Modi interacts with Google CEO; stresses on AI use in agriculture, online education
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PM Modi interacts with Google CEO; stresses on AI use in agriculture, online education
Pichai briefed the Prime Minister about the efforts undertaken by Google to help spread awareness and provide reliable information about COVID-19.
He said that the strong step of Lockdown initiated by the Prime Minister set up a very strong foundation of India’s battle against the pandemic. Prime Minister appreciated the proactive role played by Google in battling misinformation and conveying information about necessary precautions. He also talked about further leveraging technology in providing healthcare services.
The Prime Minister said that Indians are adjusting to and adopting technology at a rapid pace. He talked about farmers benefiting from technology and the possible wide-ranging benefits of AI in agriculture. Prime Minister explored the idea of virtual labs that can be used by students as well as farmers. Sundar Pichai briefed the PM about new products and initiatives by Google in the country.
He mentioned about the launch of AI Research Lab in Bengaluru, while also highlighting the benefits of Google’s flood forecasting efforts.
Prime Minister was briefed about Google’s plan to launch a large investment fund and develop strategic partnerships in India. Prime Minister remarked that India is amongst the most open economies in the world. He also spoke about recent steps taken by the government towards reforming agriculture and about the campaign to create new jobs, while also highlighting the importance of re-skilling.
PM Modi discussed the issue of data security and concerns around privacy. He said that tech companies need to put in efforts to bridge the trust deficit.
He also talked about cyber crimes and threats in the form of cyber attacks.
Other areas of discussion included technological solutions to expand the scope of online education,access to technology in native language, use of AR/VR to give a stadium-like viewing experience in the field of sports, and progress in the area of digital payments.
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2020-07-13
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PM Modi interacts with Google CEO; stresses on AI use in agriculture, online education
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PM Modi interacts Google CEO; stresses AI use agriculture, online education Udaipur News Udaipur Latest News udaipur local news Monday , July 13 2020 Us About Udaipur Kiran GST Calculator Write Udaipur News Udaipur Latest News udaipur local news Udaipur News udaipur local news Read Udaipur Latest News, Udaipur Local News Hindi, Udaipur Breaking News Updates, Udaipur News Headlines, Udaipur Hindi News Paper udaipur local news HOME HEADLINES INDIA RAJASTHAN UDAIPUR BUSINESS MUTUAL FUNDS EQUITIES TECHNOLOGY SCIENCE HEALTH CAREER ENTERTAINMENT SPORTS LIFESTYLE WORLD TOURISM Home HEADLINES INDIA PM Modi interacts Google CEO; stresses AI use agriculture, online education Download Udaipur Kiran App read Latest News Today PM Modi interacts Google CEO; stresses AI use agriculture, online education Pichai briefed Prime Minister efforts undertaken Google help spread awareness provide reliable information COVID19. He said strong step Lockdown initiated Prime Minister set strong foundation Indias battle pandemic. Prime Minister appreciated proactive role played Google battling misinformation conveying information necessary precautions. He talked leveraging technology providing healthcare services. The Prime Minister said Indians adjusting adopting technology rapid pace. He talked farmers benefiting technology possible wideranging benefits AI agriculture. Prime Minister explored idea virtual labs students farmers. Sundar Pichai briefed PM new products initiatives Google country. He mentioned launch AI Research Lab Bengaluru, highlighting benefits Googles flood forecasting efforts. Prime Minister briefed Googles plan launch large investment fund develop strategic partnerships India. Prime Minister remarked India open economies world. He spoke recent steps taken government reforming agriculture campaign create new jobs, highlighting importance reskilling. PM Modi discussed issue data security concerns privacy. He said tech companies need efforts bridge trust deficit. He talked cyber crimes threats form cyber attacks. Other areas discussion included technological solutions expand scope online education,access technology native language, use ARVR stadiumlike viewing experience field sports, progress area digital payments. Please share news 20200713 Playlivecasino 10CricIndia enjoy quality table games, stream HD directly mobile phone. Visit SevenJackpots read reviews popularonline casino India, casinos secure fast withdrawals. Maintained udaipurkiran 2020,
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https://unitedlex.com/news/unitedlex-advances-suite-of-digital-offerings-with-acquisition-of-paul-hastings-groundbreaking-data-science-team-and-unique-ai-driven-capabilities/
| 2023-01-28T00:00:00 |
en
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UnitedLex Acquires Paul Hastings’ Data Science Team and AI-Driven Capabilities | UnitedLex
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UnitedLex Acquires Paul Hastings’ Data Science Team and AI-Driven Capabilities | UnitedLexRichard Susskind & Mark Cohen Debate the Future of Legal on February 15thOpen menuHomepageSolutionsSolutionsOverviewULX DigitalLitigation & InvestigationsLitigation & InvestigationsOverviewEvidence ManagementData PlatformsAnalytics & AIInvestigationsManaged ReviewProgram ManagementForensicsLegal Hold & PreservationMega MattersMethod ReportingProject ManagementFact DevelopmentContract Lifecycle Management SolutionsContract Lifecycle Management SolutionsOverviewContract Data as a ServiceFoundationAuthorTransactStoreMonitorManageIntellectual PropertyIntellectual PropertyOverviewPatent Preparation and ProsecutionPatent Portfolio DevelopmentPatent Monetization and LicensingSource Code LitigationSemiconductor Reverse EngineeringUnitedLex IP Teardown ReportsCorporate SolutionsLegal and Regulatory ComplianceLegal and Regulatory ComplianceOverviewData PrivacyInvestigative SupportAnti-Bribery & CorruptionGlobal TradeMergers & AcquisitionsLaw Department ConsultingLumaInsightsCompanyCompanyOverviewNewsEventsCorporate Social ResponsibilityDiversity, Equity, and InclusionUpward! FoundationLeadershipBoard of DirectorsDigital Legal Exchange UnitedLex AcademyCareersLet's ConnectSolutionsULX DigitalDriving transformation for legal organizations to thrive in the digital age.ExploreLitigation & InvestigationsCombine digital and legal expertise to deliver end-to-end discovery solutions. Contract Lifecycle Management SolutionsMaximize contract value and drive greater business performance gains.Intellectual PropertyUnlock and protect the value of enterprise intellectual property assets.Corporate SolutionsEmpower corporate specialists through digitized project management and managed services.Legal and Regulatory ComplianceEnsure compliance with regulatory and legal obligations.Law Department ConsultingTransform your law department from cost center to business partner.LumaInsightsCompanyNewsUnitedLex is changing the nature of the legal industry with new partners, tech, clients, and intellectual capital.EventsThe thought leaders of UnitedLex are asked to share their insights on legal innovation around the world with the industry’s leading influencers.Corporate Social ResponsibilityOur corporate social responsibility program encourages UnitedLex employees to get involved and become agents of change.Diversity, Equity, and InclusionFostering a work environment and culture that embraces diversity and inclusion in every aspect is an utmost priority at UnitedLex. Upward! FoundationThe Upward! Foundation was created to provide resources—financial and human—to those individuals or organizations that align with the Foundation’s humanitarian and educational priorities.LeadershipOur leadership team brings deep knowledge and proven experience to our mission of transforming the way the legal industry works.Board of DirectorsOur board of directors and strategy council includes some of the brightest minds in law, technology, and business. They share in our deep commitment and passion for Digital.Digital Legal Exchange UnitedLex is a charter member of the Digital Legal Exchange, a global institute committed to accelerating digital transformation. UnitedLex AcademyEstablished in 2013, the UnitedLex Academy demonstrates our commitment to the legal profession and to new lawyers trying to find their paths.CareersLet's ConnectSearchNewsroomUnitedLex Acquires Paul Hastings’ Data Science Team and AI-Driven Capabilities Let's TalkShare this articleJune 11, 2020UnitedLex announced today the acquisition of Paul Hastings’ multi award-winning Data Science, Analysis, and Investigations (DSAI) team and its AI-empowered technology services group. The move recognizes the strengths of both companies that collectively create an unparalleled market offering: Paul Hastings’ world-leading innovations in data science, AI and the application in Law, combined with UnitedLex’s preeminence in Digital Legal Transformation, litigation, investigations, and data management, extraction, and analysis. UnitedLex will add economies of knowledge and scale to further expand the value Paul Hastings lawyers provide their clients, while bolstering its own long-established data and AI capabilities. The acquisition also enables the DSAI offering to be brought to markets beyond Paul Hastings’ own lawyers and clients, taking advantage of UnitedLex’s world-class development team and global reach, along with its legal domain expertise and significant investment potential. The transformative combination will make an imprint on the legal industry as a whole.Under the terms of the agreement, UnitedLex will broaden and deepen the technology options available to Paul Hastings’ lawyers and clients via significant additional technology investment and execution of aggressive development road maps. As a result, UnitedLex will further its competitive advantage in the areas of advanced analytics and AI as applied to a broad range of legal areas across its Litigation, Investigation, Regulatory and Compliance, Contracting, and Intellectual Property businesses.As part of the DSAI acquisition, UnitedLex will gain an elite team of legal, mathematical, and data science experts, along with the underlying technology platform developed by the group. Tom Barnett, who established the DSAI team with the support of Paul Hastings’ management six years ago, will continue to lead the team as Senior Vice President and Divisional General Counsel at UnitedLex.“It’s an incredible opportunity to realize the full potential of what we started during a time when most law firms were not even thinking about—let alone developing—AI and machine learning technology to solve legal problems. We will now be in a position to expand the model to serve legal departments and law firms worldwide,” said Barnett. “The incubation and development of the team would not have been possible without the extraordinarily bold vision of Paul Hastings’ leadership.”Mr. Barnett, who has founded and led other successful legal technology service groups and companies, is considered one of the world’s leading legal experts in advanced data analytics as well as AI and machine learning. By virtue of Tom’s work and leadership, Paul Hastings received the Financial Times North America Innovative Lawyers Award and the Recorder’s Incubator Award in 2015. Most recently, the firm was named the 2020 National Law Journal’s Washington, DC White Collar Litigation Department of the Year.“This acquisition is rooted in the same spirit for which DSAI was founded—innovation,” said Greg Nitzkowski, a Managing Partner of Paul Hastings. “We view this as a partnership that will allow the further development of cutting-edge solutions that will benefit both our clients and the legal field as a whole.” Both firms cited the acquisition a “natural fit” with a combined talent and ability to develop technology-centric products and services that add new value for clients.“Paul Hastings has been consistently ahead of the curve,” said Dave Deppe, President of UnitedLex. “They have incubated something so unique in Law and taken it to a level ripe for acceleration. What they bring to the table will be a credit to who UnitedLex is and will strengthen us from day one. We are excited, together, to take this technology to the next level.”About UnitedLexUnitedLex is a technology and legal services company committed to delivering full-scale Digital Legal Transformation. The world’s most forward-thinking law departments and law firms rely on the company’s expertise in over 25 global jurisdictions. Founded in 2006, the team includes 3,000 legal, engineering, and technology professionals with major operations in 18 countries.About Paul HastingsAt Paul Hastings, our purpose is clear—to help our clients and people navigate new paths to growth. With a strong presence throughout Asia, Europe, Latin America, and the U.S., Paul Hastings is recognized as one of the world’s most innovative global law firms.Related SolutionsLitigation & InvestigationsViewThis website uses cookies to ensure you get the best experience. Learn MoreReady to work with us?Submit an RFPWant to talk?Book a meetingContact UsPreference CenterPrivacy PolicyModern Slavery StatementAnti-Racist StatementGet our latest insights and updatesLoading...2023 © UnitedLex, All Rights Reserved
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UnitedLex Acquires Paul Hastings’ Data Science Team and AI-Driven Capabilities
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UnitedLex Acquires Paul Hastings Data Science Team AIDriven Capabilities UnitedLexRichard Susskind Mark Cohen Debate Future Legal February 15thOpen menuHomeSolutionsSolutionsOverviewULX DigitalLitigation InvestigationsLitigation InvestigationsOverviewEvidence ManagementData PlatformsAnalytics AIInvestigationsManaged ReviewProgram ManagementForensicsLegal Hold PreservationMega MattersMethod ReportingProject ManagementFact DevelopmentContract Lifecycle Management SolutionsContract Lifecycle Management SolutionsOverviewContract Data ServiceFoundationAuthorTransactStoreMonitorManageIntellectual PropertyIntellectual PropertyOverviewPatent Preparation ProsecutionPatent Portfolio DevelopmentPatent Monetization LicensingSource Code LitigationSemiconductor Reverse EngineeringUnitedLex IP Teardown ReportsCorporate SolutionsLegal Regulatory ComplianceLegal Regulatory ComplianceOverviewData PrivacyInvestigative SupportAntiBribery CorruptionGlobal TradeMergers AcquisitionsLaw Department ConsultingLumaInsightsCompanyCompanyOverviewNewsEventsCorporate Social ResponsibilityDiversity, Equity, lusionUpward FoundationLeadershipBoard DirectorsDigital Legal Exchange UnitedLex AcademyCareersLets ConnectSolutionsULX DigitalDriving transformation legal organizations thrive digital age.ExploreLitigation InvestigationsCombine digital legal expertise deliver endtoend discovery solutions. Contract Lifecycle Management SolutionsMaximize contract value drive greater business performance gains.Intellectual PropertyUnlock protect value enterprise intellectual property assets.Corporate SolutionsEmpower corporate specialists digitized project management managed services.Legal Regulatory ComplianceEnsure compliance regulatory legal obligations.Law Department ConsultingTransform law department cost center business partner.LumaInsightsCompanyNewsUnitedLex changing nature legal industry new partners, tech, clients, intellectual capital.EventsThe thought leaders UnitedLex asked share insights legal innovation world industrys leading influencers.Corporate Social ResponsibilityOur corporate social responsibility program encourages UnitedLex employees involved agents change.Diversity, Equity, lusionFostering work environment culture embraces diversity inclusion aspect utmost priority UnitedLex. Upward FoundationThe Upward Foundation created provide resourcesfinancial humanto individuals organizations align Foundations humanitarian educational priorities.LeadershipOur leadership team brings deep knowledge proven experience mission transforming way legal industry works.Board DirectorsOur board directors strategy council includes brightest minds law, technology, business. They share deep commitment passion Digital.Digital Legal Exchange UnitedLex charter member Digital Legal Exchange, global institute committed accelerating digital transformation. UnitedLex AcademyEstablished 2013, UnitedLex Academy demonstrates commitment legal profession new lawyers trying paths.CareersLets ConnectNewsroomUnitedLex Acquires Paul Hastings Data Science Team AIDriven CapabilitiesLets TalkShare articleJune 11, 2020UnitedLex announced today acquisition Paul Hastings multi awardwinning Data Science, Analysis, Investigations DSAI team AIempowered technology services group. The recognizes strengths companies collectively create unparalleled market offering: Paul Hastings worldleading innovations data science, AI application Law, combined UnitedLexs preeminence Digital Legal Transformation, litigation, investigations, data management, extraction, analysis. UnitedLex add economies knowledge scale expand value Paul Hastings lawyers provide clients, bolstering longestablished data AI capabilities. The acquisition enables DSAI offering brought markets Paul Hastings lawyers clients, taking advantage UnitedLexs worldclass development team global reach, legal domain expertise significant investment potential. The transformative combination imprint legal industry whole.Under terms agreement, UnitedLex broaden deepen technology options available Paul Hastings lawyers clients significant additional technology investment execution aggressive development road maps. As result, UnitedLex competitive advantage areas advanced analytics AI applied broad range legal areas Litigation, Investigation, Regulatory Compliance, Contracting, Intellectual Property businesses.As DSAI acquisition, UnitedLex gain elite team legal, mathematical, data science experts, underlying technology platform developed group. Tom Barnett, established DSAI team support Paul Hastings management years ago, continue lead team Senior Vice President Divisional General Counsel UnitedLex.Its incredible opportunity realize potential started time law firms thinking aboutlet developingAI machine learning technology solve legal problems. We position expand model serve legal departments law firms worldwide, said Barnett. The incubation development team possible extraordinarily bold vision Paul Hastings leadership.Mr. Barnett, founded led successful legal technology service groups companies, considered worlds leading legal experts advanced data analytics AI machine learning. By virtue Toms work leadership, Paul Hastings received Financial Times North America Innovative Lawyers Award Recorders ubator Award 2015. Most recently, firm named 2020 National Law Journals Washington, DC White Collar Litigation Department Year.This acquisition rooted spirit DSAI foundedinnovation, said Greg Nitzkowski, Managing Partner Paul Hastings. We view partnership allow development cuttingedge solutions benefit clients legal field whole. Both firms cited acquisition natural fit combined talent ability develop technologycentric products services add new value clients.Paul Hastings consistently ahead curve, said Dave Deppe, President UnitedLex. They incubated unique Law taken level ripe acceleration. What bring table credit UnitedLex strengthen day one. We excited, together, technology level.About UnitedLexUnitedLex technology legal services company committed delivering fullscale Digital Legal Transformation. The worlds forwardthinking law departments law firms rely companys expertise 25 global jurisdictions. Founded 2006, team includes 3,000 legal, engineering, technology professionals major operations 18 countries.About Paul HastingsAt Paul Hastings, purpose clearto help clients people navigate new paths growth. With strong presence Asia, Europe, Latin America, U.S., Paul Hastings recognized worlds innovative global law firms.Related SolutionsLitigation InvestigationsViewThis website uses cookies ensure best experience.Learn MoreReady work us?Submit RFPWant talk?Book meeting UsPreference CenterModern Slavery StatementAntiRacist StatementGet latest insights updatesLoading...2023 UnitedLex,
| 2,023 |
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https://vakanser.se/jobb/cloud+data+engineer+to+seb+in+stockholm/
| 2023-10-12T00:00:00 |
en
|
Cloud Data Engineer to SEB in Stockholm - Skandinaviska Enskilda Banken AB - Datajobb i Solna
|
Cloud Data Engineer to SEB in Stockholm - Skandinaviska Enskilda Banken AB - Datajobb i Solna Cloud Data Engineer to SEB in Stockholm Skandinaviska Enskilda Banken AB / Datajobb / Solna 2023-10-12 Prenumerera på nya jobb hos Skandinaviska Enskilda Banken AB Visa alla datajobb i Solna, Sundbyberg, Stockholm, Danderyd, Lidingö eller i hela Sverige Visa alla jobb hos Skandinaviska Enskilda Banken AB i Solna, Stockholm, Örebro, Sundsvall, Göteborg eller i hela Sverige SEB is more than just a bank with an IT function. We are a progressive tech company powered by innovation and fuelled by collaboration. From Java to AI and everything in between, we offer you an impressive tech stack and several technology paths. Together we're innovating for a sustainable society and building the tech arena of the future, a welcoming space for everyone. Are you ready to take on a new challenge? If so, you'll be interested in this opportunity!Are you a cloud data engineer who wants to create value through data and innovation and is motivated by delivering customer value with high quality? Do you also have a proactive attitude when it comes to continuous improvements and investigating new technologies and concepts while having experience with Financial Products? If so, this is probably a position for you! Our data division is growing, and we are now looking for a Cloud Data Engineer for our regulatory team within Trading Technology. SEB is a leading northern European financial services group, and at the same time, one of the largest IT employers in the Nordics. Banking is changing rapidly, and we are proud of our reputation for being entrepreneurial and innovative in the face of change. What you will be doing As a cloud data engineer, you will work with regulatory and business-related development in our high-priority trading area. Here you will get the chance to create value by providing stakeholders with business-critical data. You will be involved in an exciting initiative where we are currently developing a new data warehouse solution in the cloud to optimize and support our trading business. You will belong to our cross-functional team in which you will work with requirements, test, development, and deployment as well as having dialogues with stakeholders around the solutions. In addition, you will also collaborate with other developers in the team through coaching, performing code reviews, and being involved in design decisions, etc. What we offer • The chance to develop a new data warehouse for the Google Cloud Platform (GCP) • A varying position where you will be part of building our new platform as well as take end-to-end responsibility for the regulatory use cases • A prestigious team with experienced colleagues who value cooperation and openness • Opportunity to share knowledge by pair- and mob-programming, demos etc • A modern office with restaurants and a gym next to Mall of Scandinavia in Solna • A workplace where we care about the work-life balance • An innovative company at the forefront of technology Who we are looking for To succeed in this role, you are a developer with a strong tech background, you are passionate about development and developing solutions that bring value to the business. You are also proficient in: • Data integration, data structures, data pipelines, and data management in the cloud • SQL and programming skills (preferably Python) • Version Control (i.e. Git) and Agile development • Testing and test-automation Highly meriting is also: • Google Cloud Platform • BigQuery, Dataflow, Cloud Run, PubSub, and Cloud Storage • Other cloud providers • Dataform (SQL Automation) • Terraform • Monitoring and alerting of Data Warehouse We are looking for a person who shows interest and respect for other people and is a team player with a positive and open mindset. Ready to join? Since we review applications and select potential candidates continuously, you are welcome to send your application as soon as possible, but no later than the 16th of December 2023. Så ansöker du Sista dag att ansöka är 2023-11-11 Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb. Arbetsgivare Skandinaviska Enskilda Banken AB (org.nr 502032-9081) Stjärntorget 4 (visa karta) 169 79 SOLNA Arbetsplats SEB Arenastaden Övrig information om företaget/organisationen Offentliga upphandlingar där Skandinaviska Enskilda Banken AB varit leverantör Jobbnummer 8186560 Prenumerera på jobb från Skandinaviska Enskilda Banken AB Fyll i din e-postadress för att få e-postnotifiering när det dyker upp fler lediga jobb hos Skandinaviska Enskilda Banken AB: Populära jobb Fastighetsutvecklare till Stena Fastighe ... Fysioterapeut till Hälsocentral Ramsele/ ... Skolvaktmästare (vikariat) till Midsomma ... Cloud Data Engineer to SEB in Stockholm Programledare (behandlingsprogram) till ... Arbetsmiljöspecialist till Vidinge Grönt ... Avdelningschef till Installationsteknik ... Sökande av Personlig Assistent för natt- ... Säkerhetschef till säkerhets- och miljöe ... Sander Populära nyckelord Hotfull Skanenordost Sicuras Värmdöv Embryoutveckling Skalbyskolan Högskoleutbildning Kompetensprocessen Buerie Edits Nytillkomna arbetsgivare Systra Ab Delsbo Multisolution North AB Uppis psykologtjänst AB Oxio AB Livsmedelstillverkarna Öst AB EC2M Energy Cost to Management AB Hasan Firat Pizzeria HB Bauhaus & Co Kb Servicecenter, Bromma Polyflor Nordic Sweden AB Värna Omsorg AB Vakanser.se 2007-2023 | Skapa prenumeration på nya jobb | Arbetsgivare: Lägg upp en platsannons | Om oss | Kontakta oss
|
Cloud Data Engineer to SEB in Stockholm
|
Cloud Data Engineer SEB Stockholm Skandinaviska Enskilda Banken AB Datajobb Solna Cloud Data Engineer SEB Stockholm Skandinaviska Enskilda Banken AB Datajobb Solna 20231012 Prenumerera p nya jobb hos Skandinaviska Enskilda Banken AB Visa alla datajobb Solna, Sundbyberg, Stockholm, Danderyd, Liding eller hela Sverige Visa alla jobb hos Skandinaviska Enskilda Banken AB Solna, Stockholm, rebro, Sundsvall, Gteborg eller hela Sverige SEB bank IT function. We progressive tech company powered innovation fuelled collaboration. From Java AI between, offer impressive tech stack technology paths. Together innovating sustainable society building tech arena future, welcoming space everyone. Are ready new challenge? If so, youll interested opportunityAre cloud data engineer wants create value data innovation motivated delivering customer value high quality? Do proactive attitude comes continuous improvements investigating new technologies concepts experience Financial Products? If so, probably position Our data division growing, looking Cloud Data Engineer regulatory team Trading Technology. SEB leading northern European financial services group, time, largest IT employers Nordics. Banking changing rapidly, proud reputation entrepreneurial innovative face change. What As cloud data engineer, work regulatory businessrelated development highpriority trading area. Here chance create value providing stakeholders businesscritical data. You involved exciting initiative currently developing new data warehouse solution cloud optimize support trading business. You belong crossfunctional team work requirements, test, development, deployment dialogues stakeholders solutions. In addition, collaborate developers team coaching, performing code reviews, involved design decisions, etc. What offer The chance develop new data warehouse Google Cloud Platform GCP A varying position building new platform endtoend responsibility regulatory use cases A prestigious team experienced colleagues value cooperation openness Opportunity share knowledge pair mobprogramming, demos A modern office restaurants gym Mall Scandinavia Solna A workplace care worklife balance An innovative company forefront technology Who looking To succeed role, developer strong tech background, passionate development developing solutions bring value business. You proficient in: Data integration, data structures, data pipelines, data management cloud SQL programming skills preferably Python Version Control i.e. Git Agile development Testing testautomation Highly meriting also: Google Cloud Platform BigQuery, Dataflow, Cloud Run, PubSub, Cloud Storage Other cloud providers Dataform SQL Automation Terraform Monitoring alerting Data Warehouse We looking person shows respect people team player positive open mindset. Ready join? Since review applications select potential candidates continuously, welcome send application soon possible, later 16th December 2023. S ansker du Sista dag att anska r 20231111 Klicka p denna lnk fr att gra din anskan Omfattning Detta r ett heltidsjobb. Arbetsgivare Skandinaviska Enskilda Banken AB org.nr 5020329081 Stjrntorget 4 visa karta 169 79 SOLNA Arbetsplats SEB Arenastaden vrig information om fretagetorganisationen Offentliga upphandlingar dr Skandinaviska Enskilda Banken AB varit leverantr Jobbnummer 8186560 Prenumerera p jobb frn Skandinaviska Enskilda Banken AB Fyll din epostadress fr att f epostnotifiering nr det dyker upp fler lediga jobb hos Skandinaviska Enskilda Banken AB: Populra jobb Fastighetsutvecklare till Stena Fastighe ... Fysioterapeut till Hlsocentral Ramsele ... Skolvaktmstare vikariat till Midsomma ... Cloud Data Engineer SEB Stockholm Programledare behandlingsprogram till ... Arbetsmiljspecialist till Vidinge Grnt ... Avdelningschef till Installationsteknik ... Skande av Personlig Assistent fr natt ... Skerhetschef till skerhets och milje ... Sander Populra nyckelord Hotfull Skanenordost Sicuras Vrmdv Embryoutveckling Skalbyskolan Hgskoleutbildning Kompetensprocessen Buerie Edits Nytillkomna arbetsgivare Systra Ab Delsbo Multisolution North AB Uppis psykologtjnst AB Oxio AB Livsmedelstillverkarna st AB EC2M Energy Cost Management AB Hasan Firat Pizzeria HB Bauhaus Co Kb Servicecenter, Bromma Polyflor Nordic Sweden AB Vrna Omsorg AB Vakanser.se 20072023 Skapa prenumeration p nya jobb Arbetsgivare: Lgg upp en platsannons Om oss Kontakta oss
| 2,023 |
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https://venturebeat.com/2020/01/12/brazil-is-emerging-as-a-world-class-ai-innovation-hub/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2020-01-13T00:00:00 |
en
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Brazil is emerging as a world-class AI innovation hub | VentureBeat
|
Brazil is emerging as a world-class AI innovation hub | VentureBeat
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AI
Guest Brazil is emerging as a world-class AI innovation hub
Bruno Henriques, VP of Growth and AI at iFood January 12, 2020 2:22 PM
Image Credit: fredex/Shutterstock
Brazil’s government has big plans for AI, despite having come late to the party. In Oxford Insights’ AI Readiness Index 2019, Brazil was ranked 40 out of 192 countries, a sign that the South American powerhouse is moving up in the AI world. The report looks at how ready countries are to take advantage of the AI technologies PwC forecasts will add $15 trillion to the global economy by 2030.
The 2019 report also cautions that the “Global South could be left behind by the so-called fourth industrial revolution.” But even as some of the planet’s richest nations, including Canada, China, Germany, Japan, Singapore, and the U.S, have become recognized AI innovation hubs, according to studies by Deloitte and others, South America — led by Brazil — is rapidly emerging as a leader in AI-enabled businesses.
Brazil’s future economy is banking on a big contribution from AI technologies, and the country is leading the rest of Latin America, based on a proprietary AI Global Vibrancy Tool used to compile the recent 2019 AI Index report from Stanford University. The study found that during the last four years Brazil has shifted into high gear as one of the top five countries in the world with the fastest growth in AI hiring.
Accenture forecast that by 2035 AI will boost annual growth rates across South America by about one full percentage point of GDP. For Brazil, already the largest Latin American economy, that prediction would “boost the 2035 GVA of the Brazilian economy by $432 billion, which represents an increase of 0.9 percentage points in comparison with the baseline scenario.” Other Latin American countries stand to gain AI-driven boosts in annual GVA in that same time frame — notably $78 billion in Colombia, $63 billion in Chile, and $59 billion in Argentina.
“Artificial intelligence offers South America a long-awaited opportunity to leapfrog toward greater levels of innovation, productivity, and socio-economic progress,” wrote Armen Ovanessoff, principal director of Accenture Research, in the report.
Where opportunity lies
One area that’s particularly ripe for AI innovation is the financial services sector that was hit hard, and then heavily regulated, after major bank crashes in the 1980s and 1990s. Brazilian financial tech companies creating workarounds to the many bureaucratic hurdles and old ways of doing things are now booming in Brazil, according to CB Insights, LAVCA, and other organizations tracking hot investment sectors there. Other fast-growth sectors that AI is redefining in Brazil include ecommerce, on-demand delivery, logistics, and digital media and entertainment.
Fortunately, the Brazilian population is tech savvy and already uses a lot of online services, which means AI technologies have a greater chance of impacting industries on a scale that matters. Mary Meeker’s Internet Trends 2019 report ranks Brazil’s population as the fifth largest group of internet consumers in the world. A global consumer insights survey by PwC in 2018 found that 59% of Brazilians plan to purchase an AI device, the highest score amongst the top 10 countries in the poll.
After the U.S., Brazil has the largest number of social media users on Facebook, Twitter, and YouTube, per Kwintessential. Mobile devices outnumber people, and a majority of Brazil’s more than 211 million citizens are avid online shoppers and consumers of internet entertainment, according to PagBrasil. Of the 149 million internet users in Brazil, 139 million are mobile, and Brazilians downloaded more than 7.3 billion apps in 2018, ranking it top four in the world, according to Forbes.
Two important applications for AI are tackling the traffic congestion issues created by Brazil’s massive cities and reaching people across a land mass of 3.28 million square miles. AI has an opportunity to make local and cross-country delivery of products quicker and more efficient, which would mean reduced pollution, lower costs, and less traffic.
New R&D labs
Brazil and other large Latin American countries are catching up with their counterparts when it comes to funding AI innovation. The Brazilian government recently announced the creation of an AI R&D network of eight labs.
During the launch announcement in November, Marcos Pontes, Brazil’s minister of science, technology, innovation, and communications, said the eight R&D labs will boost “the ability to reason, plan, and think about Brazil’s future and our ability to create tools to solve problems and improve the quality of life.”
One of the new labs will involve the Brazilian Army and will focus on edge AI technology in areas like cybersecurity. The other seven R&D centers will work on breakthroughs tied to the country’s national IoT plan, which is focused on its four main verticals: agribusiness, health care, manufacturing, and smart cities.
Brazil understands that to keep up in the international AI race, it needs to nurture and retain strong domestic talent. Beyond the lure of bigger paychecks, the best of the best are drawn to opportunities where they can solve the most important challenges of our time.
To keep talent in the country, IBM is set to launch an AI lab in São Paulo in 2020. It will be the first Latin American-based institute from IBM’s AI Horizons Network, created by the company in 2016 for collaboration between universities, students, and IBM researchers. It will be run in conjunction with the São Paulo Research Foundation (FAPESP) and focus on solving real problems in Brazil, such as the best use of natural resources and innovation in agribusiness and health care.
Addressing the AI skills gap
According to an IBM study released in September, “the skills gap is not a myth, but can be addressed with real solutions.” The researchers — who polled 5,670 global executives in 48 countries — found that as many as 120 million workers in the world’s 12 largest economies may need to be retrained or reskilled to succeed in an age of AI and intelligent automation.
A Gartner study released at the beginning of 2019 found that 37% of organizations have implemented AI in some form but struggle with acute talent shortages. Despite a current AI skills gap, Gartner found that the number of enterprises employing AI grew 270% over a four-year period.
Google’s Peter Norvig, a legendary AI expert, spoke about the skills gap and competition for top AI talent at the recent BayBrazil conference in Silicon Valley. He said he meets with many startups that complain they can’t hire the top AI experts from MIT or Stanford because the big tech companies get to them first.
When he hears this concern, Norvig offers sage advice via an analogy. “If a new restaurant owner told me, ‘What the business needs most now is a PhD in stove design from MIT,’ that’s really a faulty way of thinking. In reality, what that restaurant owner really needs is a chef who knows how to cook tasty food who will tell the owner what stove to buy. You don’t need to design a new stove from scratch.”
The issue now is training more people to understand not only how to use AI tools but also how to implement them at every level of business. With both the Brazilian government and the private sector boosting investment in AI research, that skills gap will begin to close.
Going forward, AI will play an essential role in how people, not machines, make decisions. For Latin America — led by Brazil — the technology promises to create a significant competitive advantage in the commercial sector, faster GDP growth, broader societal benefits, and more socio-economic progress for all.
Bruno Henriques is the VP of Growth and AI at iFood, Latin America’s largest food tech company.
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Brazil emerging worldclass AI innovation hub VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Support independent journalism Contribute AI Guest Brazil emerging worldclass AI innovation hub Bruno Henriques, VP Growth AI iFood January 12, 2020 2:22 PM Image Credit: fredexShutterstock Brazils government big plans AI, despite come late party. In Oxford Insights AI Readiness Index 2019, Brazil ranked 40 192 countries, sign South American powerhouse moving AI world. The report looks ready countries advantage AI technologies PwC forecasts add 15 trillion global economy 2030. The 2019 report cautions Global South left socalled fourth industrial revolution. But planets richest nations, including Canada, China, Germany, Japan, Singapore, U.S, recognized AI innovation hubs, according studies Deloitte others, South America led Brazil rapidly emerging leader AIenabled businesses. Brazils future economy banking big contribution AI technologies, country leading rest Latin America, based proprietary AI Global Vibrancy Tool compile recent 2019 AI Index report Stanford University. The study years Brazil shifted high gear countries world fastest growth AI hiring. Accenture forecast 2035 AI boost annual growth rates South America percentage point GDP. For Brazil, largest Latin American economy, prediction boost 2035 GVA Brazilian economy 432 billion, represents increase 0.9 percentage points comparison baseline scenario. Other Latin American countries stand gain AIdriven boosts annual GVA time frame notably 78 billion Colombia, 63 billion Chile, 59 billion Argentina. Artificial intelligence offers South America longawaited opportunity leapfrog greater levels innovation, productivity, socioeconomic progress, wrote Armen Ovanessoff, principal director Accenture Research, report. Where opportunity lies One area thats particularly ripe AI innovation financial services sector hit hard, heavily regulated, major bank crashes 1980s 1990s. Brazilian financial tech companies creating workarounds bureaucratic hurdles old ways things booming Brazil, according CB Insights, LAVCA, organizations tracking hot investment sectors there. Other fastgrowth sectors AI redefining Brazil include ecommerce, ondemand delivery, logistics, digital media entertainment. Fortunately, Brazilian population tech savvy uses lot online services, means AI technologies greater chance impacting industries scale matters. Mary Meekers Internet Trends 2019 report ranks Brazils population fifth largest group internet consumers world. A global consumer insights survey PwC 2018 59 Brazilians plan purchase AI device, highest score 10 countries poll. After U.S., Brazil largest number social media users Facebook, Twitter, YouTube, Kwintessential. Mobile devices outnumber people, majority Brazils 211 million citizens avid online shoppers consumers internet entertainment, according PagBrasil. Of 149 million internet users Brazil, 139 million mobile, Brazilians downloaded 7.3 billion apps 2018, ranking world, according Forbes. Two important applications AI tackling traffic congestion issues created Brazils massive cities reaching people land mass 3.28 million square miles. AI opportunity local crosscountry delivery products quicker efficient, mean reduced pollution, lower costs, traffic. New RD labs Brazil large Latin American countries catching counterparts comes funding AI innovation. The Brazilian government recently announced creation AI RD network labs. During launch announcement November, Marcos Pontes, Brazils minister science, technology, innovation, communications, said RD labs boost ability reason, plan, think Brazils future ability create tools solve problems improve quality life. One new labs involve Brazilian Army focus edge AI technology areas like cybersecurity. The seven RD centers work breakthroughs tied countrysnational IoT plan, focused main verticals: agribusiness, health care, manufacturing, smart cities. Brazil understands international AI race, needs nurture retain strong domestic talent. Beyond lure bigger paychecks, best best drawn opportunities solve important challenges time. To talent country, IBM set launch AI lab So Paulo 2020. It Latin Americanbased institute IBMs AI Horizons Network, created company 2016 collaboration universities, students, IBM researchers. It run conjunction So Paulo Research Foundation FAPESP focus solving real problems Brazil, best use natural resources innovation agribusiness health care. Addressing AI skills gap According IBM study released September, skills gap myth, addressed real solutions. The researchers polled 5,670 global executives 48 countries 120 million workers worlds 12 largest economies need retrained reskilled succeed age AI intelligent automation. A Gartner study released beginning 2019 37 organizations implemented AI form struggle acute talent shortages. Despite current AI skills gap, Gartner number enterprises employing AI grew 270 fouryear period. Googles Peter Norvig, legendary AI expert, spoke skills gap competition AI talent recent BayBrazil conference Silicon Valley. He said meets startups complain hire AI experts MIT Stanford big tech companies first. When hears concern, Norvig offers sage advice analogy. If new restaurant owner told me, What business needs PhD stove design MIT, thats faulty way thinking. In reality, restaurant owner needs chef knows cook tasty food tell owner stove buy. You dont need design new stove scratch. The issue training people understand use AI tools implement level business. With Brazilian government private sector boosting investment AI research, skills gap begin close. Going forward, AI play essential role people, machines, decisions. For Latin America led Brazil technology promises create significant competitive advantage commercial sector, faster GDP growth, broader societal benefits, socioeconomic progress all. Bruno Henriques VP Growth AI iFood, Latin Americas largest food tech company. Most Read VRgineers interview: Why making 8K militarygrade VR headset Why TinyML giant opportunity 2020: Our meatless, cashless, cityless future No, IBM relevant player virtual agents Five Nights Freddys AR: Special Delivery Building jump scares augmented reality UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher.
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] | 1 | 3,175 |
https://venturebeat.com/2020/09/15/ai-researchers-devise-failure-detection-method-for-safety-critical-machine-learning/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2020-09-15T00:00:00 |
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AI researchers devise failure detection method for safety-critical machine learning | VentureBeat
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AI researchers devise failure detection method for safety-critical machine learning | VentureBeat
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AI researchers devise failure detection method for safety-critical machine learning
Khari Johnson@kharijohnson September 15, 2020 8:16 AM
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Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence. Safety-critical machine learning systems make decisions for automated technology like self-driving cars, robotic surgery, pacemakers, and autonomous flight systems for helicopters and planes. Unlike AI that helps you write an email or recommends a song, safety-critical system failures can result in serious injury or death. Problems with such machine learning systems can also cause financially costly events like SpaceX missing its landing pad.
Researchers say their neural bridge sampling method gives regulators, academics, and industry experts a common reference for discussing the risks associated with deploying complex machine learning systems in safety-critical environments. In a paper titled “Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems,” recently published on arXiv, the authors assert their approach can satisfy both the public’s right to know that a system has been rigorously tested and an organization’s desire to treat AI models like trade secrets. In fact, some AI startups and Big Tech companies refuse to grant access to raw models for testing and verification out of fear that such inspections could reveal proprietary information.
“They don’t want to tell you what’s inside the black box, so we need to be able to look at these systems from afar without sort of dissecting them,” co-lead author Matthew O’Kelly told VentureBeat in a phone interview. “And so one of the benefits of the methods that we’re proposing is that essentially somebody can send you a scrambled description of that generated model, give you a bunch of distributions, and you draw from them, then send back the search space and the scores. They don’t tell you what actually happened during the rollout.”
Safety-critical systems have failure rates so low that the rates can be tough to compute, and the better the systems get, the harder it is to estimate, O’Kelly said. To come up with a predicted failure rate, a novel Markov chain Monte Carlo (MCMC) scheme is used to identify areas in a distribution believed to be in proximity to a failure event.
“Then you continue this process and you build what we call this ladder toward the failure regions. You keep getting worse and worse and worse as you play against the Tesla autopilot algorithm or the pacemaker algorithm to keep pushing it toward the failures that are worse and worse,” said co-lead author Aman Sinha.
The neural bridge sampling method detailed in the paper draws on decades-old statistical techniques, as well as recent work published in part by O’Kelly and Sinha that uses a simulation testing framework to evaluate a black box autonomous vehicle system. In addition to the neural bridge contribution in the paper, the authors argue in favor of continued advances in privacy-conscious tech like federated learning and differential privacy and urge more researchers and people with technical knowledge to join regulatory conversations and help drive policy.
“We would like to see more statistics-driven, science-driven initiatives, in terms of regulation and policy around things like self-driving vehicles,” O’Kelly said. “We think that it’s just such a novel technology that information is going to need to flow pretty rapidly from the academic community to the businesses making the objects to the government that’s going to be responsible for regulating them.”
In other recent safety-critical systems news, autonomous shipping has grown during the COVID-19 pandemic, and last week a team of researchers detailed DuckieNet, a physical model for evaluating autonomous vehicle and robotics systems. Also last week: Medical experts introduced the first set of standards for reporting artificial intelligence use in medical clinical trials.
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AI researchers devise failure detection method for safety-critical machine learning
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AI researchers devise failure detection method safetycritical machine learning VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile AI researchers devise failure detection method safetycritical machine learning Khari Johnson September 15, 2020 8:16 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Jan Huber Automation Jobs Read latest special issue. Open Now Researchers MIT, Stanford University, University Pennsylvania devised method predicting failure rates safetycritical machine learning systems efficiently determining rate occurrence. Safetycritical machine learning systems decisions automated technology like selfdriving cars, robotic surgery, pacemakers, autonomous flight systems helicopters planes. Unlike AI helps write email recommends song, safetycritical failures result injury death. Problems machine learning systems cause financially costly events like SpaceX missing landing pad. Researchers neural bridge sampling method gives regulators, academics, industry experts common reference discussing risks associated deploying complex machine learning systems safetycritical environments. In paper titled Neural Bridge Sampling Evaluating SafetyCritical Autonomous Systems, recently published arXiv, authors assert approach satisfy publics right know rigorously tested organizations desire treat AI models like trade secrets. In fact, AI startups Big Tech companies refuse grant access raw models testing verification fear inspections reveal proprietary information. They dont want tell whats inside black box, need able look systems afar sort dissecting them, colead author Matthew OKelly told VentureBeat phone interview. And benefits methods proposing essentially somebody send scrambled description generated model, bunch distributions, draw them, send search space scores. They dont tell actually happened rollout. Safetycritical systems failure rates low rates tough compute, better systems get, harder estimate, OKelly said. To come predicted failure rate, novel Markov chain Monte Carlo MCMC scheme identify areas distribution believed proximity failure event. Then continue process build ladder failure regions. You getting worse worse worse play Tesla autopilot algorithm pacemaker algorithm pushing failures worse worse, said colead author Aman Sinha. The neural bridge sampling method detailed paper draws decadesold statistical techniques, recent work published OKelly Sinha uses simulation testing framework evaluate black box autonomous vehicle system. In addition neural bridge contribution paper, authors argue favor continued advances privacyconscious tech like federated learning differential privacy urge researchers people technical knowledge join regulatory conversations help drive policy. We like statisticsdriven, sciencedriven initiatives, terms regulation policy things like selfdriving vehicles, OKelly said. We think novel technology information going need flow pretty rapidly academic community businesses making objects government thats going responsible regulating them. In recent safetycritical systems news, autonomous shipping grown COVID19 pandemic, week team researchers detailed DuckieNet, physical model evaluating autonomous vehicle robotics systems. Also week: Medical experts introduced set standards reporting artificial intelligence use medical clinical trials. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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https://venturebeat.com/2021/04/15/autonomous-trucking-company-plus-will-use-ai-and-billions-of-miles-of-data-to-train-self-driving-semis/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2021-04-15T00:00:00 |
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Autonomous trucking company Plus will use AI and billions of miles of data to train self-driving semis | VentureBeat
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Autonomous trucking company Plus will use AI and billions of miles of data to train self-driving semis | VentureBeat
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Autonomous trucking company Plus will use AI and billions of miles of data to train self-driving semis
Plus April 15, 2021 9:15 AM
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This article is part of a VB Lab Insight series paid for by Plus.
The safest drivers are those with the most experience. Studies show it can take years of practice for automobile drivers to become careful and competent road users. Similarly, the more experience a truck driver has the less likely it is that they will cause a serious crash.
What holds true for human drivers holds true for autonomous driving systems — up to a point. The safest self-driving vehicle platforms are those that have accumulated the most experience.
Since driving experience is so important, how can technologists make sure computerized driving systems get the training they need to operate safely on the nation’s roads and highways?
Solving this challenge is the key to unlocking a fully autonomous future.
How computers learn to drive a semi-truck
Thanks to advances in sensor technology and artificial intelligence (AI), an automated truck is capable of analyzing many objects on the road and making a decision about how to respond.
This is accomplished in large part by training so-called “deep learning” algorithms. Repeatedly expose a self-driving system to all kinds of obstacles, from a cut-in vehicle to a construction site, and the system will start to understand how to react when an obstruction appears on the highway.
Here it is important to note that unlike people, machines lack common sense and don’t do well handling novel situations. Human drivers know to slow down in the face of an unexpected obstacle — a bear, say — because we can make decisions based on similar situations we have already encountered or extrapolate from other incidents.
Unlike humans, however, deep neural networks can only learn from data they have been trained on, whether from public roads, closed courses, or computer simulations.
So back to the original question: How do you train the machines so they are exposed to the full range of the driving experience?
Data, data, and more data
Plus’s goal is to help truck drivers on long-haul routes, where they encounter a variety of road and weather conditions. In addition to closed-road testing and computer simulations, the company’s PlusDrive system is learning on the open road, where the trucks can be exposed to real-world obstacles and situations. Junk flying from a pickup bed. Ice slicks. A wind turbine blade. A zigzagging motorcycle.
Though these so-called “long tail” phenomena comprise less than 1% of the time behind the wheel, knowing how to safely navigate them is critical for machines. Society expects that a computer-operated machine must be at least an order of magnitude safer than a human driver.
Billions of miles of on-road testing
Starting this summer, Plus will put its supervised automated driving system into factory production. It is also retrofitting existing trucks with the system. By this time next year, hundreds of automated trucks powered by PlusDrive will be on the road, hauling commercial cargo.
Human drivers will be behind the wheel. Like an experienced professional training a new recruit, Plus drivers will monitor the autonomous trucks while teaching them how to handle unexpected obstacles.
Plus estimates that its fleet will accumulate billions of collective miles before the company deploys fully driverless vehicles. Taking an evolutionary approach to full autonomy enables the company to rack up miles more quickly, with the assistance of on-board professional drivers who are training and validating the system.
To support its global deployment in the U.S., China, Europe, and other markets, Plus recently raised $420 million in new funding.
Truck driver retention and low-carbon solution
The drivers benefit too. The Plus supervised autonomous trucking solution elevates the role of the truck driver, upskilling them in preparation for an autonomous future. At the same time a digital co-pilot will ease driver exhaustion on long-haul routes, and fleets will spend less on the hiring process.
The system yields other gains. Fuel comprises about a third of a trucking company’s operating budget, by far the largest cost for heavy trucks. When an automated system understands the road, pulling in GPS and weather data too, they optimize shifting and braking. Plus has run pilot projects showing that PlusDrive saves 10% of the tank compared to the most efficient drivers, a win for the bottom line and the environment.
The autonomous trucking future, now
Commercial space travel, solar-powered cities, autonomous vehicles — the first two visions of the future depend on specific economic inflection points, while the third is wholly dependent on the amount of data a system has accumulated.
Plus is building the necessary feedback loop of information today. Its trucks are accumulating the data. Its drivers, who are among the safest and most efficient Class A drivers, are training the system with their responses. Its engineers are fine-tuning PlusDrive’s algorithms and decisions. And eventually PlusDrive will be one of the safest and most experienced drivers on the road.
Plus is applying autonomous trucking technology to trucks today. For more information, please visit www.plus.ai.
VB Lab Insights content is created in collaboration with a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. Content produced by our editorial team is never influenced by advertisers or sponsors in any way. For more information, contact [email protected].
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Autonomous trucking company Plus will use AI and billions of miles of data to train self-driving semis
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Autonomous trucking company Plus use AI billions miles data train selfdriving semis VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Account Settings Log Out Become Member VentureBeat Home VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat Community access 3 premium posts videos month. Learn More Sign continue purchasing ticket. Please wait... Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile VB Lab Insights Autonomous trucking company Plus use AI billions miles data train selfdriving semis Plus April 15, 2021 9:15 AM Share Facebook Share Twitter Share LinkedIn A company culture growth Learn companys culture advance totally sabotage company goals. Now This article VB Lab Insight series paid Plus. The safest drivers experience. Studies years practice automobile drivers careful competent road users. Similarly, experience truck driver likely cause crash. What holds true human drivers holds true autonomous driving systems point. The safest selfdriving vehicle platforms accumulated experience. Since driving experience important, technologists sure computerized driving systems training need operate safely nations roads highways? Solving challenge key unlocking fully autonomous future. How computers learn drive semitruck Thanks advances sensor technology artificial intelligence AI, automated truck capable analyzing objects road making decision respond. This accomplished large training socalled deep learning algorithms. Repeatedly expose selfdriving kinds obstacles, cutin vehicle construction site, start understand react obstruction appears highway. Here important note unlike people, machines lack common sense dont handling novel situations. Human drivers know slow face unexpected obstacle bear, decisions based similar situations encountered extrapolate incidents. Unlike humans, however, deep neural networks learn data trained on, public roads, closed courses, simulations. So original question: How train machines exposed range driving experience? Data, data, data Pluss goal help truck drivers longhaul routes, encounter variety road weather conditions. In addition closedroad testing simulations, companys PlusDrive learning open road, trucks exposed realworld obstacles situations. Junk flying pickup bed. Ice slicks. A wind turbine blade. A zigzagging motorcycle. Though socalled long tail phenomena comprise 1 time wheel, knowing safely navigate critical machines. Society expects computeroperated machine order magnitude safer human driver. Billions miles onroad testing Starting summer, Plus supervised automated driving factory production. It retrofitting existing trucks system. By time year, hundreds automated trucks powered PlusDrive road, hauling commercial cargo. Human drivers wheel. Like experienced professional training new recruit, Plus drivers monitor autonomous trucks teaching handle unexpected obstacles. Plus estimates fleet accumulate billions collective miles company deploys fully driverless vehicles. Taking evolutionary approach autonomy enables company rack miles quickly, assistance onboard professional drivers training validating system. To support global deployment U.S., China, Europe, markets, Plus recently raised 420 million new funding. Truck driver retention lowcarbon solution The drivers benefit too. The Plus supervised autonomous trucking solution elevates role truck driver, upskilling preparation autonomous future. At time digital copilot ease driver exhaustion longhaul routes, fleets spend hiring process. The yields gains. Fuel comprises trucking companys operating budget, far largest cost heavy trucks. When automated understands road, pulling GPS weather data too, optimize shifting braking. Plus run pilot projects showing PlusDrive saves 10 tank compared efficient drivers, win line environment. The autonomous trucking future, Commercial space travel, solarpowered cities, autonomous vehicles visions future depend specific economic inflection points, wholly dependent data accumulated. Plus building necessary feedback loop information today. Its trucks accumulating data. Its drivers, safest efficient Class A drivers, training responses. Its engineers finetuning PlusDrives algorithms decisions. And eventually PlusDrive safest experienced drivers road. Plus applying autonomous trucking technology trucks today. For information, visit VB Lab Insights content created collaboration company paying post business relationship VentureBeat, theyre clearly marked. Content produced editorial team influenced advertisers sponsors way. For information, contact sales Transform 2021 Join worlds leading event accelerating enterprise transformation AI Data, enterprise technology decisionmakers, presented 1 publisher AI Data Learn More Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Special Issue Product Comparisons Jobs About Careers 2021 VentureBeat. .
| 2,021 |
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https://venturebeat.com/2021/08/01/ai-leaders-talk-intersectionality-microaggressions-and-more-at-transform-women-in-ai-breakfast-2/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2021-08-02T00:00:00 |
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AI leaders talk intersectionality, microaggressions, and more at Transform Women in AI Breakfast | VentureBeat
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AI leaders talk intersectionality, microaggressions, and more at Transform Women in AI Breakfast | VentureBeat
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At VentureBeat’s third annual Women in AI Breakfast at Transform 2021, leaders in AI and machine learning across industries came together to discuss some of the most urgent questions in the tech sector today, including what responsible AI and engineering means, and the roles and responsibilities of corporates, academia, governments, and society as a whole in getting more diverse voices into the tech sector, and more.
This year the breakfast, presented by Capital One, was moderated by Noelle Silver, the founder of Women in AI. The breakfast opened with a talk about what inclusive engineering means for the tech sector — and why it can’t just be the responsibility of those who are underrepresented.
Diversity must encapsulate diversity of race and ethnicity and religion, but also economic diversity, diversity of experience, and diversity of education, said Teuta Mercado, director of the responsible AI program at Capital One. And inclusive engineering means ensuring that all voices are represented. Many corporations are starting to do the outreach necessary to bring more diversity into this field with recruiting efforts and imperatives, she noted.
“At Capital One, inclusive engineering means ensuring that our products and our services really reflect our customer base and are accessible to all,” said Mercado. “Banking customers represent all facets of society, and everyone needs credit services, so it’s really important that we have diverse teams that are working on and building AI and machine learning — so that we can build for all our customers, and not just for some.”
Kathy Baxter, principal architect of ethical AI practice at Salesforce, has a background in psychology and human factors engineering. She noted that she’s benefited from the strong mix of genders seen in psychology and user experience research.
“So, when moving into AI, I’ve been able to leverage those different experiences of working across roles,” she said. “Seeking out people with a large variety of expertise and disciplines to contribute and participate in our discussions of what it means to create fair and equitable AI and identifying unintended consequences of AI systems.”
Tiffany Deng, who leads the program management team for responsible AI at Google, explained that her time in the U.S. Army as an intelligence officer prepared her for what she does today: bringing different voices to the table in order to find solutions.
“That is what inclusive engineering is about — it’s about giving voice to the underrepresented, and ensuring not only that their voice is heard, but it’s acted upon,” Deng said. “And then thinking about going into communities and understanding how a problem may present itself differently in that subtle context, as opposed to what we already think or what we’ve already seen.”
“At the World Economic Forum, we think about inclusive engineering globally,” said Kay Firth-Butterfield, head of AI and machine learning, and executive committee member of the World Economic Forum.
Companies need to have multi-stakeholder teams so when they’re setting policy, they include academics, nonprofits, governments, and businesses in the room — but that’s not enough, she said.
“We’ve been doing some work with a number of the big tech companies to ask what does responsible use of technology actually look like,” Firth-Butterfield said. “One of the things we know is that you need diverse product teams. We should all be at the table, with different backgrounds, so that our products use good, non-biased AI.”
When talking about increasing the diversity of teams, it comes back to the pipeline issue, or encouraging people of marginalized backgrounds or underrepresented minorities to participate, Baxter added.
“I don’t want us putting all of the onus on women and other minorities to have to push their way into the door, and I feel like that’s what often comes of these discussions,” she said. “Instead we need to look within our own companies, when we are hiring. Really taking significant time and effort to ensure we have a diversity of sources.”
That means not hiring the very first person who meets the job criteria, but continuing to talk to a wide range of people who might be interested in these jobs — which takes time and effort, but needs to be done. And then, once individuals are in the companies, it’s making sure that the environment is actually inclusive.
“Too often, there are the micro aggressions and toxicities that not only impact an individual’s ability to participate in these conversations, but also to keep them long-term, so that we lose the contributions that they could have given to the company,” Baxter said.
“There are so many different perspectives around every single day that we’ve always tried to tap into, in order to come to a better solution for our users,” Deng said. “A thing that really keeps me going is this idea of intersectionality.”
We all have different facets, and identify in very different ways, and companies need to continue to build upon that in truly inclusive ways for these different communities, to ensure that all voices brought into the fold are heard, she said.
“It’s not enough just to have the women. We have to have men who are in positions of power, also supporters, who also understand that there is a role in their companies for us — and that they actually begin to do much better if they have diversity within their country, their cabinet, or within the C-suite,” Firth-Butterfield said.
So many have struggled against bias in their field, Mercado said, but many things have kept her going.
“One, the network: just surrounding yourself with women and men, people who care about what they’re doing, who are passionate about ethical AI or passionate about just doing what’s right for our customers for people who are using the products,” she said. “And then the biggest thing for me is working for a company that has a culture of empowerment, allowing you to do the right thing.”
Diversity and inclusion in AI, the erasure of bias in machine learning algorithms, and inclusive engineering are issues that directly impact the bottom line, but it’s so much bigger than that, said Deng.
“Me being a Black woman, I think about my children and how can I make the world better for them, and how can I make the world safer for them,” she said. “AI is omnipresent; it’s a part of how we go to school, how we district, how things and services are distributed in our communities. And so I want to make that better. This is really an inflection point, and a really great opportunity for us to have deep impact, in all those different types in places in society.”
Don’t miss the full discussion, from how bias has impacted women’s careers in male-dominated fields to how men often miscalculate what women can bring to the table, to how everyone must continue pushing traditional boundaries of these sectors, building truly inclusive community and ensuring that all perspectives are considered at every moment of the design process, and more.VentureBeat
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AI leaders talk intersectionality, microaggressions, and more at Transform Women in AI Breakfast
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AI leaders talk intersectionality, microaggressions, Transform Women AI Breakfast VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat Community access 3 premium posts videos month. Learn More Sign business email continue ticket purchase Please wait... Share Share Facebook Share Twitter Share LinkedIn VentureBeat Home Social Links Newsletters Events Profile AI leaders talk intersectionality, microaggressions, Transform Women AI Breakfast VB Staff August 1, 2021 10:20 AM Share Facebook Share Twitter Share LinkedIn Datadriven creative sensitive verticals With big privacy changes, creative important verticals like health wellness finance. Learn data backbone campaigns. free All sessions Transform 2021 available ondemand now. Watch now. At VentureBeats annual Women AI Breakfast Transform 2021, leaders AI machine learning industries came discuss urgent questions tech sector today, including responsible AI engineering means, roles responsibilities corporates, academia, governments, society getting diverse voices tech sector, more. This year breakfast, presented Capital One, moderated Noelle Silver, founder Women AI. The breakfast opened talk inclusive engineering means tech sector responsibility underrepresented. Diversity encapsulate diversity race ethnicity religion, economic diversity, diversity experience, diversity education, said Teuta Mercado, director responsible AI program Capital One. And inclusive engineering means ensuring voices represented. Many corporations starting outreach necessary bring diversity field recruiting efforts imperatives, noted. At Capital One, inclusive engineering means ensuring products services reflect customer base accessible all, said Mercado. Banking customers represent facets society, needs credit services, important diverse teams working building AI machine learning build customers, some. Kathy Baxter, principal architect ethical AI practice Salesforce, background psychology human factors engineering. She noted shes benefited strong mix genders seen psychology user experience research. So, moving AI, Ive able leverage different experiences working roles, said. Seeking people large variety expertise disciplines contribute participate discussions means create fair equitable AI identifying unintended consequences AI systems. Tiffany Deng, leads program management team responsible AI Google, explained time U.S. Army intelligence officer prepared today: bringing different voices table order solutions. That inclusive engineering giving voice underrepresented, ensuring voice heard, acted upon, Deng said. And thinking going communities understanding problem present differently subtle context, opposed think weve seen. At World Economic Forum, think inclusive engineering globally, said Kay FirthButterfield, head AI machine learning, executive committee member World Economic Forum. Companies need multistakeholder teams theyre setting policy, include academics, nonprofits, governments, businesses room thats enough, said. Weve work number big tech companies ask responsible use technology actually look like, FirthButterfield said. One things know need diverse product teams. We table, different backgrounds, products use good, nonbiased AI. When talking increasing diversity teams, comes pipeline issue, encouraging people marginalized backgrounds underrepresented minorities participate, Baxter added. I dont want putting onus women minorities push way door, I feel like thats comes discussions, said. Instead need look companies, hiring. Really taking significant time effort ensure diversity sources. That means hiring person meets job criteria, continuing talk wide range people interested jobs takes time effort, needs done. And then, individuals companies, making sure environment actually inclusive. Too often, micro aggressions toxicities impact individuals ability participate conversations, longterm, lose contributions given company, Baxter said. There different perspectives single day weve tried tap into, order come better solution users, Deng said. A thing keeps going idea intersectionality. We different facets, identify different ways, companies need continue build truly inclusive ways different communities, ensure voices brought fold heard, said. Its women. We men positions power, supporters, understand role companies actually begin better diversity country, cabinet, Csuite, FirthButterfield said. So struggled bias field, Mercado said, things kept going. One, network: surrounding women men, people care theyre doing, passionate ethical AI passionate whats right customers people products, said. And biggest thing working company culture empowerment, allowing right thing. Diversity inclusion AI, erasure bias machine learning algorithms, inclusive engineering issues directly impact line, bigger that, said Deng. Me Black woman, I think children I world better them, I world safer them, said. AI omnipresent; school, district, things services distributed communities. And I want better. This inflection point, great opportunity deep impact, different types places society. Dont miss discussion, bias impacted womens careers maledominated fields men miscalculate women bring table, continue pushing traditional boundaries sectors, building truly inclusive community ensuring perspectives considered moment design process, more.VentureBeat VentureBeats mission digital town square technical decisionmakers gain knowledge transformative technology transact. Our site delivers essential information data technologies strategies guide lead organizations. We invite member community, access: uptodate information subjects newsletters gated thoughtleader content discounted access prized events, Transform 2021: Learn More networking features, Become member Transform 2021 Join worlds leading event applied AI enterprise business technology decisionmakers, presented 1 publisher AI coverage. Learn More Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Special Issue Product Comparisons Jobs About Careers Do Not Sell My Personal Information 2021 VentureBeat. . We collect cookies personal information interaction website. For information categories personal information collect purposes use for, view Notice Collection.
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https://venturebeat.com/2022/03/23/amds-fsr-2-0-is-john-henry-versus-nvidia-dlsss-machine-learning/
| 2022-03-23T00:00:00 |
en
|
AMD's FSR 2.0 is John Henry versus Nvidia DLSS's machine learning | VentureBeat
|
AMD's FSR 2.0 is John Henry versus Nvidia DLSS's machine learning | VentureBeat
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AMD’s FSR 2.0 is John Henry versus Nvidia DLSS’s machine learning
Jeff Grubb@jeffgrubb
March 23, 2022 12:08 PM
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GamesBeat Summit 2022 returns with its largest event for leaders in gaming on April 26-28th. Reserve your spot here!
The image-quality battle brewing between AMD and Nvidia is heating up. And this week, the back-and-forth regarding Nvidia’s deep-learning super sampling (DLSS) and AMD’s FidelityFX Super Resolution (FSR) is taking on a human-versus-machine angle. To be more specific, AMD believes the humans responsible for FSR are sometimes more effective than the machine learning that Nvidia uses for DLSS.
AMD introduced FSR 2.0 last week, and it emphasized that it isn’t using any machine learning to accomplish its impressive upscaling results in games like Deathloop. Now, AMD is explaining a bit more about why it is using hand-coded algorithms as opposed to DLSS, which uses a method where a computer trains itself to recognize what a perfect frame should look like at the highest possible resolution.
“In any science, which includes software engineering, discoveries are made by analyzing data from experimentation, resulting in mathematical models that can explain the results,” reads an AMD blog post. “Broadly speaking, machine learning (ML) is an incredibly useful set of tools and techniques that can aid and accelerate this process. However, the results that ML achieves can sometimes not be the most optimal, lacking the spark of human imagination that can often lead to breakthroughs for complex problems.”
Basically, AMD thinks humans are already good at solving the problems that upscaling introduces. And it claims that it has more flexibility with prescribing solutions to certain scenarios than it would if it adopted the DLSS model.
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“The FidelityFX Super Resolution 2.0 analytical approach can provide significant advantages compared to ML solutions, such as more control to cater to a range of different scenarios, and a better ability to optimize,” reads the blog.
DLSS is still the image-quality king — although that may not matter if FSR is on more hardware
Of course, AMD is slightly mischaracterizing how machine learning works. While Nvidia is certainly training computer models to recognize what games should look like, it is humans who are behind those models. It is also extremely difficult for AMD to argue with the results. DLSS upscaling is frequently indistinguishable from native 4K. Occasionally, it is even better than the real thing. And that is because it has access to models that provide more information than the original frame contains.
FSR 2.0 is certainly closing the gap. And I do believe that it is a fine solution for the problem of running high-fidelity games at acceptable framerates. But DLSS is the cutting-edge market leader for a reason.
Although, AMD doesn’t seem worried. Because while DLSS requires a modern Nvidia GPU, FSR works on almost any recent computer or console.
“Above all, not requiring dedicated ML hardware means that more platforms can benefit, and more gamers will be able to experience FSR 2.0,” claims AMD.
To combat this, Nvidia has launched a similar tech to FSR called Nvidia Image Scaling (NIS) that also works across devices and operates on the platform level. But it’s DLSS that Nvidia cares about — and it should. It’s a standout feature for Nvidia hardware. And the company needs developers to keep supporting it.
GamesBeat's creed when covering the game industry is "where passion meets business." What does this mean? We want to tell you how the news matters to you -- not just as a decision-maker at a game studio, but also as a fan of games. Whether you read our articles, listen to our podcasts, or watch our videos, GamesBeat will help you learn about the industry and enjoy engaging with it. Learn More
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AMD's FSR 2.0 is John Henry versus Nvidia DLSS's machine learning
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AMDs FSR 2.0 John Henry versus Nvidia DLSSs machine learning VentureBeat Skip main content VentureBeat Home Events GamesBeat Jobs GamesBeat Summit 2022 Account Settings Log Out Become Member VentureBeat Home GamesBeat VentureBeat ARVR Big Data Cloud Commerce DataDecisionMakers Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Jobs VB Lab About Join GamesBeat Community Free: Join GamesBeat Community access 3 premium posts unlimited videos month. Learn More Sign business email continue ticket purchase Please wait... Share Share Facebook Share Twitter Share LinkedIn VentureBeat Home Social Links Newsletters Events Profile AMDs FSR 2.0 John Henry versus Nvidia DLSSs machine learning Jeff Grubb March 23, 2022 12:08 PM Share Facebook Share Twitter Share LinkedIn GamesBeat Summit 2022 returns largest event leaders gaming April 2628th.Reserve spot The imagequality battle brewing AMD Nvidia heating up. And week, backandforth Nvidias deeplearning super sampling DLSS AMDs FidelityFX Super Resolution FSR taking humanversusmachine angle. To specific, AMD believes humans responsible FSR effective machine learning Nvidia uses DLSS. AMD introduced FSR 2.0 week, emphasized isnt machine learning accomplish impressive upscaling results games like Deathloop. Now, AMD explaining bit handcoded algorithms opposed DLSS, uses method trains recognize perfect frame look like highest possible resolution. In science, includes software engineering, discoveries analyzing data experimentation, resulting mathematical models explain results, reads AMD blog post. Broadly speaking, machine learning ML incredibly useful set tools techniques aid accelerate process. However, results ML achieves optimal, lacking spark human imagination lead breakthroughs complex problems. Basically, AMD thinks humans good solving problems upscaling introduces. And claims flexibility prescribing solutions certain scenarios adopted DLSS model. Event GamesBeat Summit 2022 Reexperience excitement connecting community live GamesBeat Summits inperson event April 26 Los Angeles, CA, virtually April 2728. 30 sessions 500 attendees set arrive, dont want miss opportunity expand network. Early bird pricing ends March 25. Get pass today Now The FidelityFX Super Resolution 2.0 analytical approach provide significant advantages compared ML solutions, control cater range different scenarios, better ability optimize, reads blog. DLSS imagequality king matter FSR hardware Of course, AMD slightly mischaracterizing machine learning works. While Nvidia certainly training models recognize games look like, humans models. It extremely difficult AMD argue results. DLSS upscaling frequently indistinguishable native 4K. Occasionally, better real thing. And access models provide information original frame contains. FSR 2.0 certainly closing gap. And I believe fine solution problem running highfidelity games acceptable framerates. But DLSS cuttingedge market leader reason. Although, AMD doesnt worried. Because DLSS requires modern Nvidia GPU, FSR works recent console. Above all, requiring dedicated ML hardware means platforms benefit, gamers able experience FSR 2.0, claims AMD. To combat this, Nvidia launched similar tech FSR called Nvidia Image Scaling NIS works devices operates platform level. But DLSS Nvidia cares should. Its standout feature Nvidia hardware. And company needs developers supporting it. GamesBeats creed covering game industry passion meets business. What mean? We want tell news matters decisionmaker game studio, fan games. Whether read articles, listen podcasts, watch videos, GamesBeat help learn industry enjoy engaging it. Learn More Author Jeff Grubb Topics GamesBeat PC Gaming GamesBeat Summit 2022 Back The largest event leaders gaming returns inperson April 26 Los Angeles, CA virtually April 2728. today connect gaming community dive core gaming, gen gaming, metaverse, diversityinclusion, more. Early bird pricing ends March 25. Now GamesBeat Summit 2022 The largest event leaders gaming returns April 2628 online live Los Angeles, CA. Over course days, gaming community opportunity come together, hear industry experts dive deeper gamings trending topics. Now jobs dream job today. Get Hired GamesBeat Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Special Issue Product Comparisons Jobs About Careers Do Not Sell My Personal Information 2022 VentureBeat. . We collect cookies personal information interaction website. For information categories personal information collect purposes use for, view Notice Collection.
| 2,022 |
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