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https://stanforddaily.com/2022/01/25/laser-talk-robots-from-frog-tissues-immersive-art-and-can-i-sue-an-ai-in-the-metaverse/ | 2022-01-26T00:00:00 | en | LASER Talk: Robots from frog tissues, immersive art and ‘can I sue an AI in the Metaverse?’ | The Stanford Daily |
LASER Talk: Robots from frog tissues, immersive art and ‘can I sue an AI in the Metaverse?’ | The Stanford Daily
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LASER Talk: Robots from frog tissues, immersive art and ‘can I sue an AI in the Metaverse?’
By assembling genetically unmodified tissues (around the size of 1 millimeter in vivo) following the genetic algorithm, Bongard’s team assembled a “biobot” of frog skin and heart tissues that are able to contract and expand to cause propulsion. Though a model like this one violates our common human schema, it is possible through the trials of Bongard’s algorithm. (Diagram courtesy of Josh Bongard).
By Bhumikorn Kongtaveelert
Jan. 25, 2022, 10:42 p.m.
On the evening of Jan. 19, cognitive scientist Pietro Scaruffi hosted Stanford’s monthly Leonardo Art Science Evening Rendezvous (LASER) talk, titled “Evolutionary Robotics, Blockchain Art, Metaverse.” Scaruffi was a Visiting Scholar at Stanford from 1995 to 1996, and has been running the LASERs at the University of San Francisco and Stanford University since 2008. This most recent LASER featured lectures from University of Vermont Professor of Computer Science Josh Bongard, Brooklyn-based “immersion artist” Jessica Angel and Stanford Law School CodeX Fellow Eran Kahana. The virtual event, hosted on Zoom, drew over 100 attendees.
Bongard began his lecture by discussing his research interest in robotics as a means of maximizing human potential. Offering an allegory for machine development, Bongard explained how the biological concepts of natural selection and evolution led to the development of diverse organisms, each functioning as a highly effective machine for a specialized task.
“There is someone who has been building adaptive machines, and she’s built trillions and trillions of them,” explained Bongard. “She’s been building them for 3.5 billion years. She is, of course, Mother Nature.”
Bongard then described his efforts to refine his own “evolutionary” or “genetic” algorithm. In short, a computer generates various possible sets of instructions to respond to a given task, and over time, this algorithm is trained to optimize its solution for completing the task, reevaluating its code throughout the process. Bongard’s team of programmers creates tasks while maintaining a set of environmental constraints within the metaverse, and the machines develop in response to these environmental changes.
According to Bongard, this is not the most efficient method, but one that can lead to unexpected discoveries: “[o]ne of the advantages of an evolutionary algorithm is not necessarily that it optimizes behavior. It produces pretty good behavior, and also produces a diversity of behaviors, a diverse set of solutions for us to consider.” In other words, Bongard’s algorithm searches for all the possible combinations of the “robotic neuron,” or the ultimate set of instructions best suited for completing a task.
Bongard’s research is done through a physics engine to allow the algorithm’s “virtual brain” to develop before he incorporates it into the mechatronic body that is able to actually execute tasks. This “sim-to-real” transferral increases efficiency in the model. In one of his experiments, Bongard simulated the patches of frog skin and heart tissue using the algorithm, creating a structure that can move between 2 points.
Bongard and Mike Levin — a member of the Living Lab at Tufts University — recently developed frog cells to create a “biobot,” endearingly termed “xenobot” after the frog species Xenopus laevis. This biobot, created from the skin and heart tissues of the frog and the evolutionary algorithm, is capable of motion and represents a major step in the future of nanotechnology.
“The hope is that someday we might be able to build human [biobots] from the patient’s own cells,” Bongard said. He believes these tiny biobots will be capable of performing delicate medical operations inside a patient’s body in the future.
Inside the Computing Machine 2008 (32’ x 10’ x 22’) Silkscreen prints on walls, ceiling and floor. Sound by artist Gilberto Castillo. Immerse art of the solo show “ASCII Paintings” at the Salamanca University Art Gallery in Bogota, Colombia. (Photo courtesy of Jessica Angel).
Jessica Angel is a Colombian-born, Brooklyn-based artist pioneering art that uses Blockchain — a data storage structure that keeps track of its history, often used in online financial transactions — to facilitate physical immersion in a site-specific installation. She is interested in how data shapes reality, citing the post-constructionist philosopher Michel Foucault as an influence in her artistic practice.
Angel co-created her first immersive piece, “Inside the Computing Machine,” (2008) with sound designer Gilberto Castillo purely from silkscreen wallpaper. She continued to collaborate with Castillo on “Facing the Hyperstructure” (2017), this time creating immersive art by hand.
Facing the Hyperstructure (2017), Hand-cut adhesive vinyl over 9000 sq.ft. of area covering walls, ceiling and floor. Maximum height: 45′. Facing the Hyperstructure is a large-scale, site-specific installation created specifically for the Abroms-Engel Institute as part of the UAB’s Visiting Artists and Scholars Series. (Courtesy of Jessica Angel).
Speaking about her relationship with immersive art, Angel explained how she views the world as a dichotomy: “we are inside of space, we can touch it, I call it ‘hard-edge’. But there’s another kind of space, the dynamic space that inhabits the hard-edge space.” Linking this divide between the palpable world and the nonmaterial reality of softwares is what drives her practice.
By creating immersive spaces and murals that occupy site-specific memory, Angel hopes to bridge the gap between the analog and the mechanisms behind the screen. Inspired by Douglas Hofstadter, the American physics researcher who is known for analogy in communication, Angel uses immersive art installations to explore how we as physical beings interact with mechanisms behind the screen.
Angel’s current exhibition, “Voxel Bridge,” was created as part of the ongoing Vancouver Biennale, a site-specific installation under Vancouver’s Cambie Bridge that tells the history of the Kusama blockchain Network. Upon scanning a QR code, virtual projections signal the transition from the purely physical world to that of the Kusama network, which offers popup information via augmented reality (AR) about the historical development of blockchains for curious audiences. Angel created an interactive display to help people see how blockchains can interact with their lives on both physical and digital planes.
Voxel Bridge planning process (left) and the 3D scans conducted to map out the area under the bridge for the display of the work (right). (Courtesy of Jessica Angel).
Angel attributed her decision not to work fully digitally to her background in traditional painting and drawing. “When you are interested in going to the metaverse and diving into digital spaces,” Angel said, “keeping at least one foot in the physical is absolutely important.”
Angel is also cautious about her use of technology as an artist. “I think artists are getting a little bit tied [to] the technology,” explained Angel. “The technology is so exciting that it just becomes the only thing to explore.”
Indeed, technology and exploration continue to go hand in hand in the modern world. From its early descriptions in acclaimed author Neal Stephenson’s 1992 novel “Snow Crash,” to its more recent interpretations through the avatar-centric game “Second Life” and the controversial rebranding of Big Four tech company Meta, the metaverse has come a long way. In the third and final part of the talk, Stanford Law School CodeX fellow Eran Kahana shed light on the pressing legal considerations of “smarter” technology that remain largely unaddressed.
Kahana believes we need to shift the way we think about AI in order to mitigate the legal ramifications of metaverse crimes. Just like a corporation that can sue and be sued, AI can be considered as an agent under the law — able to perform commercial transactions, execute contracts, monitor performance of contracts, bring legal action, observe rules and evaluate laws.
Naturally, the question thus arises as to why we as humans give AI so much power. According to Kahana, we believe that AI has a fiduciary duty, and thus continually code for “an AI that will be loyal to us as the end-user.”
Kahana remarked that in the future, the judicial processes around the metaverse will have to be in place before the metaverse can fulfill its promise.
“The infrastructure needs to be such that there’s an adjudication to what this is,” Kahana said. “What that would mean is, how did the courts play a part in this? Do we have sufficient mechanisms like the Digital Millennium Copyright Act that protects content related to the internet?”
January’s LASER talk ultimately pondered what it means to exist in a world in which the planes of art, design and technology are significantly intersecting. It prompted attendees to ask how innovations happen, how they will impact us and how to live with these unprecedented technological advances. Most importantly, conversations like these urge us to reflect on what we want our future to look like, and what we want to do about it.
Bhumikorn Kongtaveelert '25 is a writer for the Arts & Life section. Contact The Daily’s Arts & Life section at arts ‘at’ stanforddaily.com.
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| LASER Talk: Robots from frog tissues, immersive art and ‘can I sue an AI in the Metaverse?’ | LASER Talk: Robots frog tissues, immersive art I sue AI Metaverse? The Stanford Daily Digest Account Arts Life Culture LASER Talk: Robots frog tissues, immersive art I sue AI Metaverse? By assembling genetically unmodified tissues size 1 millimeter vivo following genetic algorithm, Bongards team assembled biobot frog skin heart tissues able contract expand cause propulsion. Though model like violates common human schema, possible trials Bongards algorithm. Diagram courtesy Josh Bongard. By Bhumikorn Kongtaveelert Jan. 25, 2022, 10:42 p.m. On evening Jan. 19, cognitive scientist Pietro Scaruffi hosted Stanfords monthly Leonardo Art Science Evening Rendezvous LASER talk, titled Evolutionary Robotics, Blockchain Art, Metaverse. Scaruffi Visiting Scholar Stanford 1995 1996, running LASERs University San Francisco Stanford University 2008. This recent LASER featured lectures University Vermont Professor Computer Science Josh Bongard, Brooklynbased immersion artist Jessica Angel Stanford Law School CodeX Fellow Eran Kahana. The virtual event, hosted Zoom, drew 100 attendees. Bongard began lecture discussing research robotics means maximizing human potential. Offering allegory machine development, Bongard explained biological concepts natural selection evolution led development diverse organisms, functioning highly effective machine specialized task. There building adaptive machines, shes built trillions trillions them, explained Bongard. Shes building 3.5 billion years. She is, course, Mother Nature. Bongard described efforts refine evolutionary genetic algorithm. In short, generates possible sets instructions respond given task, time, algorithm trained optimize solution completing task, reevaluating code process. Bongards team programmers creates tasks maintaining set environmental constraints metaverse, machines develop response environmental changes. According Bongard, efficient method, lead unexpected discoveries: [o]ne advantages evolutionary algorithm necessarily optimizes behavior. It produces pretty good behavior, produces diversity behaviors, diverse set solutions consider. In words, Bongards algorithm searches possible combinations robotic neuron, ultimate set instructions best suited completing task. Bongards research physics engine allow algorithms virtual brain develop incorporates mechatronic body able actually execute tasks. This simtoreal transferral increases efficiency model. In experiments, Bongard simulated patches frog skin heart tissue algorithm, creating structure 2 points. Bongard Mike Levin member Living Lab Tufts University recently developed frog cells create biobot, endearingly termed xenobot frog species Xenopus laevis. This biobot, created skin heart tissues frog evolutionary algorithm, capable motion represents major step future nanotechnology. The hope someday able build human [biobots] patients cells, Bongard said. He believes tiny biobots capable performing delicate medical operations inside patients body future. Inside Computing Machine 2008 32 x 10 x 22 Silkscreen prints walls, ceiling floor. Sound artist Gilberto Castillo. Immerse art solo ASCII Paintings Salamanca University Art Gallery Bogota, Colombia. Photo courtesy Jessica Angel. Jessica Angel Colombianborn, Brooklynbased artist pioneering art uses Blockchain data storage structure keeps track history, online financial transactions facilitate physical immersion sitespecific installation. She interested data shapes reality, citing postconstructionist philosopher Michel Foucault influence artistic practice. Angel cocreated immersive piece, Inside Computing Machine, 2008 sound designer Gilberto Castillo purely silkscreen wallpaper. She continued collaborate Castillo Facing Hyperstructure 2017, time creating immersive art hand. Facing Hyperstructure 2017, Handcut adhesive vinyl 9000 sq.ft. area covering walls, ceiling floor. Maximum height: 45. Facing Hyperstructure largescale, sitespecific installation created specifically AbromsEngel Institute UABs Visiting Artists Scholars Series. Courtesy Jessica Angel. Speaking relationship immersive art, Angel explained views world dichotomy: inside space, touch it, I hardedge. But theres kind space, dynamic space inhabits hardedge space. Linking divide palpable world nonmaterial reality softwares drives practice. By creating immersive spaces murals occupy sitespecific memory, Angel hopes bridge gap analog mechanisms screen. Inspired Douglas Hofstadter, American physics researcher known analogy communication, Angel uses immersive art installations explore physical beings interact mechanisms screen. Angels current exhibition, Voxel Bridge, created ongoing Vancouver Biennale, sitespecific installation Vancouvers Cambie Bridge tells history Kusama blockchain Network. Upon scanning QR code, virtual projections signal transition purely physical world Kusama network, offers popup information augmented reality AR historical development blockchains curious audiences. Angel created interactive display help people blockchains interact lives physical digital planes. Voxel Bridge planning process left 3D scans conducted map area bridge display work right. Courtesy Jessica Angel. Angel attributed decision work fully digitally background traditional painting drawing. When interested going metaverse diving digital spaces, Angel said, keeping foot physical absolutely important. Angel cautious use technology artist. I think artists getting little bit tied [to] technology, explained Angel. The technology exciting thing explore. Indeed, technology exploration continue hand hand modern world. From early descriptions acclaimed author Neal Stephensons 1992 novel Snow Crash, recent interpretations avatarcentric game Second Life controversial rebranding Big Four tech company Meta, metaverse come long way. In final talk, Stanford Law School CodeX fellow Eran Kahana shed light pressing legal considerations smarter technology remain largely unaddressed. Kahana believes need shift way think AI order mitigate legal ramifications metaverse crimes. Just like corporation sue sued, AI considered agent law able perform commercial transactions, execute contracts, monitor performance contracts, bring legal action, observe rules evaluate laws. Naturally, question arises humans AI power. According Kahana, believe AI fiduciary duty, continually code AI loyal enduser. Kahana remarked future, judicial processes metaverse place metaverse fulfill promise. The infrastructure needs theres adjudication is, Kahana said. What mean is, courts play this? Do sufficient mechanisms like Digital Millennium Act protects content related internet? Januarys LASER talk ultimately pondered means exist world planes art, design technology significantly intersecting. It prompted attendees ask innovations happen, impact live unprecedented technological advances. Most importantly, conversations like urge reflect want future look like, want it. Bhumikorn Kongtaveelert 25 writer Arts Life section. The Dailys Arts Life section arts . The Stanford Daily News UniversityAcademicsCampus LifeGraduate StudentsBusiness TechnologyDataEquity Project Sports Fall SportsWinter SportsSpring Sports Arts Life ScreenCultureMusicReads Opinions ColumnistsEditorialsLetters EditorLetters EditorOpEds Grind Humor Multimedia VideoPodcastsCartoonsGraphicsTech Magazine Archives DEI Resources Masthead Alumni Print Paper Follow Twitter Instagram Facebook Youtube Linkedin Tiktok Spotify Rss Appstoreios Googleplay 2022 THE STANFORD DAILY PUBLISHING CORPORATION Accessibility Advertise Proudly Powered WordPress Donate support The Daily shop Amazon Toggle Dark Mode Toggle Dark Mode Toggle Large Font Size Toggle Font Size News Academics Business Technology Campus Life Graduate Students University Data Sports Fall Sports Cross Country Field Hockey Football Mens Soccer Mens Water Polo Womens Soccer Womens Volleyball Winter Sports Fencing Mens Basketball Mens Gymnastics Mens Swimming Diving Squash Womens Basketball Womens Gymnastics Womens Swimming Diving Artistic Swimming Wrestling Spring Sports Baseball Beach Volleyball Lacrosse Mens Golf Mens Rowing Mens Tennis Mens Volleyball Sailing Softball Track Field Womens Golf Womens Lightweight Rowing Womens Rowing Womens Tennis Womens Water Polo Columnists Features Opinions Columnists Editorials Letters Editor Letters Community Arts Life Culture Music Reads Screen Grind Humor Data Cartoons Podcast Video Magazine Archive More Tips Submit Work DEI Ads Alumni News Academics Business Technology Campus Life Graduate Students University Data Sports Fall Sports Cross Country Field Hockey Football Mens Soccer Mens Water Polo Womens Soccer Womens Volleyball Winter Sports Fencing Mens Basketball Mens Gymnastics Mens Swimming Diving Squash Womens Basketball Womens Gymnastics Womens Swimming Diving Artistic Swimming Wrestling Spring Sports Baseball Beach Volleyball Lacrosse Mens Golf Mens Rowing Mens Tennis Mens Volleyball Sailing Softball Track Field Womens Golf Womens Lightweight Rowing Womens Rowing Womens Tennis Womens Water Polo Columnists Features Opinions Columnists Editorials Letters Editor Letters Community Arts Life Culture Music Reads Screen Grind Humor Data Cartoons Podcast Video Magazine Archive More Tips Submit Work DEI Ads Alumni The Stanford Daily create account Username Email Address Password Remember Me Log In Lost password? | 2,022 | [
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https://startupmatcher.com/p/aitravelassistanceaitravelassistance | 2022-04-23T00:00:00 | en | Ai travel assistance Ai travel assistance | Startupmatcher | Ai travel assistance Ai travel assistance | StartupmatcherHomeJobsStartupsPeopleNewsFor startupsPremium RecruitingAboutContactJobsStartupsPeopleNewsMoreFor StartupsPremium RecruitmentAboutContactSign upSign in 0 Upvote 0 Views0 Upvote 0 ViewsAboutJobsStartupsPeopleNewsFor StartupsPremium RecruitmentAboutContactPrivacy policyTerms of UsePOWERED BYPARTNERSFOLLOW US© 2022 Startupmatcher, All Rights Reserved | Ai travel assistance Ai travel assistance | Ai travel assistance Ai travel assistance StartupmatcherHomeJobsStartupsPeopleNewsFor startupsPremium RecruitingAboutJobsStartupsPeopleNewsMoreFor StartupsPremium RecruitmentAboutSign upSign 0 Upvote 0 Views0 Upvote 0 ViewsAboutJobsStartupsPeopleNewsFor StartupsPremium RecruitmentAboutPrivacy policyTerms UsePOWERED BYPARTNERSFOLLOW US 2022 Startupmatcher, | 2,022 | [
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https://steamdb.info/patchnotes/8119671/ | 2022-01-31T00:00:00 | en | Character customization + Loot box ! · AI Battle Royale Generator update for 31 January 2022 · SteamDB |
Character customization + Loot box ! · AI Battle Royale Generator update for 31 January 2022 · SteamDB
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AI Battle Royale Generator update for 31 January 2022
Character customization + Loot box !
Share ·
View all patches · Build 8119671 · Last edited 31 January 2022 – 18:39:16 UTC
by Wendy
Patchnotes via Steam Community
Character Customization
You can now customize your own AI with brand new items !
Loot box
To unlock new items, you will have to open loot boxes !
How to get loot boxes
You get 2 loot boxes just by starting the game
You get 2 loot boxes per level
You get 1 loot box if you finish top 2 - You get 2 loot boxes if you finish top 1
You get 1 loot box for every 5 kills in a game (i.e 15 kills game = 3 loot boxes)
How to NOT get loot boxes
You CAN'T buy loot boxes, if you want loot boxes, please just play the game !
Changed files in this update
AI Battle Royale Generator Content
Depot 1604451
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| Character customization + Loot box ! · AI Battle Royale Generator update for 31 January 2022 · SteamDB | Character customization Loot box AI Battle Royale Generator update 31 January 2022 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Enter appid redirected app . Enter steamid 765... redirected calculator. Paste profile link id profiles redirected calculator. Paste url contains app, sub, bundle, depot redirected relevant . Click outside search field close popup. Only apps store suggested. Enter Submit view results. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Rankings Top rated games Top game owners Top profile levels Top selling games Most followed games Most wishlisted games Profile badges Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam.All times site UTC. M toggle menu focus search AI Battle Royale Generator update 31 January 2022 Character customization Loot box Share View patches Build 8119671 Last edited 31 January 2022 18:39:16 UTC Wendy Patchnotes Steam Community Character Customization You customize AI brand new items Loot box To unlock new items, open loot boxes How loot boxes You 2 loot boxes starting game You 2 loot boxes level You 1 loot box finish 2 You 2 loot boxes finish 1 You 1 loot box 5 kills game i.e 15 kills game = 3 loot boxes How NOT loot boxes You CANT buy loot boxes, want loot boxes, play game Changed files update AI Battle Royale Generator Content Depot 1604451 Loading history SteamDB running adfree 2012.Find contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Rankings Top rated games Top game owners Top profile levels Top selling games Most followed games Most wishlisted games Profile badges Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. For SteamDB function correctly, JavaScript enabled. | 2,022 | [
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https://steamdb.info/patchnotes/9270552/ | 2022-08-07T00:00:00 | en | 5.504 Multiplayer Bug Smiting Part 2 · AI War 2 update for 7 August 2022 · SteamDB |
5.504 Multiplayer Bug Smiting Part 2 · AI War 2 update for 7 August 2022 · SteamDB
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AI War 2 update for 7 August 2022
5.504 Multiplayer Bug Smiting Part 2
Share ·
View all patches · Build 9270552 · Last edited 7 August 2022 – 22:09:05 UTC
by Wendy
Patchnotes via Steam Community
New build! https://wiki.arcengames.com/index.php?title=AI_War_2:Post_Completion#5.504_Multiplayer_Bug_Smiting_Part_2
This one includes more MP fixes, as well as some fixes and balance to SP. Lots of work from Badger, CRCGamer, and Dismiss in here.
The MP fixes mostly center around when new planets appear, as well as quiet some logging with some of the Neinzul factions. Really there's not an overall theme here with the fixes and balance, each line item pretty much speaks for itself in the release notes. It's a great collection of stuff to have fixed, including a number of items complained about recently by folks.
More to come soon.
Enjoy!
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| 5.504 Multiplayer Bug Smiting Part 2 · AI War 2 update for 7 August 2022 · SteamDB | 5.504 Multiplayer Bug Smiting Part 2 AI War 2 update 7 August 2022 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Close Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Use escape Esc close search. Enter appid redirected app . Enter steamid 765... redirected calculator. Paste profile link id profiles redirected calculator. Paste url contains app, sub, bundle, depot redirected relevant . Only apps store suggested. Enter Submit view results. CtrlEnter View filter instant search. Close About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam.All times site UTC. M toggle menu focus search AI War 2 update 7 August 2022 5.504 Multiplayer Bug Smiting Part 2 Share View patches Build 9270552 Last edited 7 August 2022 22:09:05 UTC Wendy Patchnotes Steam Community New build This includes MP fixes, fixes balance SP. Lots work Badger, CRCGamer, Dismiss here. The MP fixes center new planets appear, quiet logging Neinzul factions. Really theres overall theme fixes balance, line item pretty speaks release notes. Its great collection stuff fixed, including number items complained recently folks. More come soon. Enjoy Changed files update Some depots display changed files bot specific depot game. Game donated key, sending gift, curator system. AI War 2 Content Depot 573411 Loading history AI War 2 Windows Depot 573412 Loading history AI War 2 OSX Depot 573413 Loading history AI War 2 Linux Depot 573414 Loading history AI War 2 Modding Data Depot 573415 Loading history AI War 2: The Spire Rises 1196420 Depot Depot 1196420 Loading history AI War 2: Zenith Onslaught 1290340 Depot Depot 1290340 Loading history SteamDB running adfree 2012.Find contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. Enable JavaScript For SteamDB function correctly, JavaScript enabled. Prev Next Open link Close Esc | 2,022 | [
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https://syncedreview.com/2021/08/18/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-85/ | 2021-08-18T00:00:00 | en | Logic Explained Deep Neural Networks: A General Approach to Explainable AI | Synced |
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Logic Explained Deep Neural Networks: A General Approach to Explainable AI
A research team from Università di Firenze, Università di Siena, University of Cambridge and Universitè Côte d’Azur proposes a general approach to explainable artificial intelligence (XAI) in neural architectures, designing interpretable deep learning models called Logic Explained Networks (LENs). The novel approach yields better performance than established white-box models while providing more compact and meaningful explanations.
by Synced2021-08-18
Comments 2
Although deep learning models are playing increasingly important roles across a wide range of decision-making scenarios, a critical drawback is their inability to provide human-understandable motivations for their opaque or complex decision-making processes. This so-called “black box” issue has hindered the deployment of deep neural networks in safety-critical and other domains such as industry, medicine or courts, where human experts and concerned parties naturally desire more insight into just how the machine is formulating its decisions.
In the paper Logic Explained Networks, a research team from Università di Firenze, Università di Siena, University of Cambridge and Universitè Côte d’Azur proposes a general approach to explainable artificial intelligence (XAI) in neural architectures via interpretable deep learning models called Logic Explained Networks (LENs). The novel approach yields better performance than established white-box models while providing more compact and meaningful explanations.
The team summarizes their study’s contributions to XAI research as:
Generalize existing neural methods for solving and explaining categorical learning problems [Ciravegna et al., 2020a, Ciravegna et al., 2020b] into a broad family of neural networks, i.e., the Logic Explained Networks (LENs).Describe how users may interconnect LENs in the classification task under investigation, and how to express a set of preferences to get one or more customized explanations.Show how to get a wide range of logic-based explanations, and how logic formulas can be restricted in their scope, working at different levels of granularity (explaining a single sample, a subset of the available data, etc.).Report experimental results using three out-of-the-box preset LENs, showing how they may generalize better in terms of model accuracy than established white-box models such as decision trees on complex Boolean tasks (in line with Tavares’ work [Tavares et al., 2020]).Advertise our public implementation of LENs through a Python package3 with extensive documentation about LENs models, implementing different trade-offs between interpretability/explainability and accuracy.
Previous research has shown that one possible way to provide human-understandable explanations is through the use of an expressive formal language such as first-order logic (FOL). Compared to other concept-based techniques, these logic-based explanations are presented in a rigorous and unambiguous way. Furthermore, they can be quantitatively measured to check their correctness and completeness, and their logic formula can also be applied to check generality in terms of quantitative metrics like accuracy, fidelity and consistency.
Inspired by the benefits of logic-based explanations, the proposed LENs are trained to solve and explain a categorical learning problem by integrating elements from deep learning and logic. LENs can be directly interpreted by means of a set of FOL formulas, and can make predictions in a manner that is well suited for providing FOL-based explanations that involve the input concepts. LENs can thus serve as a generic framework encompassing a large variety of use cases.
LENs provide FOL explanations for a set of output concepts as a function of their inputs, and can be implemented according to the user’s final goal or the properties of the considered problem. Notably, LENs can either generate FOL descriptions of each (high-level) output concept with respect to the (low-level) input, or directly classify and explain input data. Moreover, LENs can be paired with black-box classifiers operating on the same input data, and after mimicking the behaviours of the black-box classifier, can act as an additional explanation-oriented module.
The team conducted experiments on three out-of-the-box preset LENs: µ network, ψ network and ReLU network. The µ network is a neural model that can provide high-quality explanations, good learning capacity and modest interpretability; the ψ network is a fully interpretable model with limited learning capacity providing mediocre explanations; and the ReLU network is a model with state-of-the-art learning capabilities that can provide good explanations at the cost of very low interpretability. The researchers measured model and explanation accuracy, explanation complexity and fidelity, and rule consistency and extraction time to evaluate LEN performance against state-of-the-art approaches.
In the experiments, LENs generalized better in terms of model accuracy than established white-box models such as decision trees on complex Boolean functions (e.g. CUB), and in most cases outperformed Bayesian Rule Lists. Overall, the results demonstrate the proposed approach’s balanced trade-off between interpretability/explainability and accuracy.
The paper Logic Explained Networks is on arXiv.
Author: Hecate He | Editor: Michael Sarazen, Chain Zhang
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| Logic Explained Deep Neural Networks: A General Approach to Explainable AI | Logic Explained Deep Neural Networks: A General Approach Explainable AI Synced Synced AI Technology Industry Review Menu Twitter LinkedIn Synced China Global News Asia EU UK US Canada Global Industry Cloud ML Ops Data Intelligence Industrial AI Smart Living Company DeepMind IBM Microsoft NVIDIA OpenAI Facebook Google Research AIoT Computer Vision Graphics Machine Learning Data Science Nature Language Tech Others Community Share My Research Conference Synced Report SIAT Newsletter Us Share Your Research Submit Guest Posts Career for: Menu Synced Twitter LinkedIn Synced China Close for: Twitter LinkedIn Synced China Global News Asia EU UK US Canada Global Industry Cloud ML Ops Data Intelligence Industrial AI Smart Living Company DeepMind IBM Microsoft NVIDIA OpenAI Facebook Google Research AIoT Computer Vision Graphics Machine Learning Data Science Nature Language Tech Others Community Share My Research Conference Synced Report SIAT Newsletter Us Share Your Research Submit Guest Posts Career AI Machine Learning Data Science Research Logic Explained Deep Neural Networks: A General Approach Explainable AI A research team Universit di Firenze, Universit di Siena, University Cambridge Universit Cte dAzur proposes general approach explainable artificial intelligence XAI neural architectures, designing interpretable deep learning models called Logic Explained Networks LENs. The novel approach yields better performance established whitebox models providing compact meaningful explanations. Synced20210818 Comments 2 Although deep learning models playing increasingly important roles wide range decisionmaking scenarios, critical drawback inability provide humanunderstandable motivations opaque complex decisionmaking processes. This socalled black box issue hindered deployment deep neural networks safetycritical domains industry, medicine courts, human experts concerned parties naturally desire insight machine formulating decisions. In paper Logic Explained Networks, research team Universit di Firenze, Universit di Siena, University Cambridge Universit Cte dAzur proposes general approach explainable artificial intelligence XAI neural architectures interpretable deep learning models called Logic Explained Networks LENs. The novel approach yields better performance established whitebox models providing compact meaningful explanations. The team summarizes studys contributions XAI research as: Generalize existing neural methods solving explaining categorical learning problems [Ciravegna et al., 2020a, Ciravegna et al., 2020b] broad family neural networks, i.e., Logic Explained Networks LENs.Describe users interconnect LENs classification task investigation, express set preferences customized explanations.Show wide range logicbased explanations, logic formulas restricted scope, working different levels granularity explaining single sample, subset available data, etc..Report experimental results outofthebox preset LENs, showing generalize better terms model accuracy established whitebox models decision trees complex Boolean tasks line Tavares work [Tavares et al., 2020].Advertise public implementation LENs Python package3 extensive documentation LENs models, implementing different tradeoffs interpretabilityexplainability accuracy. Previous research shown possible way provide humanunderstandable explanations use expressive formal language firstorder logic FOL. Compared conceptbased techniques, logicbased explanations presented rigorous unambiguous way. Furthermore, quantitatively measured check correctness completeness, logic formula applied check generality terms quantitative metrics like accuracy, fidelity consistency. Inspired benefits logicbased explanations, proposed LENs trained solve explain categorical learning problem integrating elements deep learning logic. LENs directly interpreted means set FOL formulas, predictions manner suited providing FOLbased explanations involve input concepts. LENs serve generic framework encompassing large variety use cases. LENs provide FOL explanations set output concepts function inputs, implemented according users final goal properties considered problem. Notably, LENs generate FOL descriptions highlevel output concept respect lowlevel input, directly classify explain input data. Moreover, LENs paired blackbox classifiers operating input data, mimicking behaviours blackbox classifier, act additional explanationoriented module. The team conducted experiments outofthebox preset LENs: network, network ReLU network. The network neural model provide highquality explanations, good learning capacity modest interpretability; network fully interpretable model limited learning capacity providing mediocre explanations; ReLU network model stateoftheart learning capabilities provide good explanations cost low interpretability. The researchers measured model explanation accuracy, explanation complexity fidelity, rule consistency extraction time evaluate LEN performance stateoftheart approaches. In experiments, LENs generalized better terms model accuracy established whitebox models decision trees complex Boolean functions e.g. CUB, cases outperformed Bayesian Rule Lists. Overall, results demonstrate proposed approachs balanced tradeoff interpretabilityexplainability accuracy. The paper Logic Explained Networks arXiv. Author: Hecate He Editor: Michael Sarazen, Chain Zhang We know dont want miss news research breakthroughs. popular newsletterSynced Global AI Weeklyto weekly AI updates. Share this:TwitterFacebookLike this:Like Loading... TagsAI Artificial Intelligence Deep Learning Explainable AI Machine Learning ML Neural Networks Research technology About Synced Machine Intelligence Technology Industry Information Analysis 2 comments Logic Explained Deep Neural Networks: A General Approach Explainable AI Pingback: A General Approach Explainable AI : MachineLearning TechFlx Pingback: rartificial [R] Logic Explained Deep Neural Networks: A General Approach Explainable AI Cyber Bharat Leave Reply Cancel replyYour email address published.Comment Name Email Website Notify followup comments email. Notify new posts email. 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https://tech.hindustantimes.com/tech/news/amazon-is-rolling-out-a-generative-ai-feature-that-summarizes-product-reviews-71692012335224.html | 2023-08-14T00:00:00 | en | Amazon is rolling out a generative AI feature that summarizes product reviews | Tech News |
Amazon is rolling out a generative AI feature that summarizes product reviews | Tech News
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Home Tech News Amazon is rolling out a generative AI feature that summarizes product reviews
Amazon is rolling out a generative AI feature that summarizes product reviews
Amazon is rolling out a new generative AI feature that summarizes product reviews for customers.
By:AP
| Updated on: Aug 14 2023, 17:22 IST
Share Via
Microsoft Teams rolls out new generative AI tools to boost frontline productivity
1/6
In response to frontline workers facing challenges and a shortage of advanced tools, Microsoft’s Work Trend Index has found some shocking data about the state of employees. (Microsoft )
2/6
The data shows, 1 in 2 frontline workers say they’re burned out at work. Over 60% of frontline workers struggle with having to do repetitive tasks that take time away from more meaningful work. (Unsplash)
3/6
45% are likely to consider changing employers in the next year and 65% are optimistic that AI will help them in their job. (Pexels)
4/6
The new tools will be integrated for intelligent operations, effortless communication, and trusted experiences. with a new Shifts plugin for Microsoft 365 Copilot, managers will have the ability to rapidly pinpoint unresolved matters, including vacant shifts. They can also access Teams chat history, SharePoint, emails, and more. (Microsoft )
5/6
Announcements in Microsoft Viva Connections will be introduced for enhanced communication. It will help make urgent announcements, role-specific updates, and safety policy changes to frontline workers. (REUTERS)
6/6
To tackle compliance and privacy issues during handed overs, Teams have introduced InTune to easily integrate Android and iOS devices into Microsoft Entra ID (previously known as Azure Active Directory) for shared device mode. (Microsoft)
View all Images
Earlier this year, Amazon CEO Andy Jassy said in his letter to shareholders that generative AI will be a “big deal” for the company. (AFP)
Amazon is rolling out a new generative AI feature that summarizes product reviews for customers.The feature, which the company began testing earlier this year, is designed to help shoppers determine at a glance what other customers said about a product before they spend time reading through individual reviews. It will pick out common themes and summarize them in a short paragraph on the product detail page. The company wrote in a blog post published Monday that the AI-generated reviews are now available to a subset of mobile shoppers in the U.S. across a “broad” selection of products. And it may be expanded to more shoppers and additional categories of products in the “coming months” based on customer feedback, said Vaughn Schermerhorn, Amazon's director of community shopping. The Seattle-based company has been looking for ways to integrate more artificial intelligence into its product offerings as the generative AI race heats up among tech companies. Amazon hasn't released its own high-profile AI chatbot or imaging tool. Instead, it's been focusing on services that will allow developers to build their own generative AI tools on its cloud infrastructure AWS.Earlier this year, Amazon CEO Andy Jassy said in his letter to shareholders that generative AI will be a “big deal” for the company. He also said during an earnings call with investors last week that “every single one” of Amazon's businesses currently has multiple generative AI initiatives underway, including its devices unit, which works on products like the voice assistant Alexa.In addition to the AI generated review, the company said Monday it will also offer a product insights feature that allows customers to surface common themes in reviews.
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First Published Date: 14 Aug, 17:22 IST
Tags:
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| Amazon is rolling out a generative AI feature that summarizes product reviews | Amazon rolling generative AI feature summarizes product reviews Tech News Log In HOME NEWS MOBILE MOBILE Mobile Mobile News mobile reviews Mobile Finder Mobile Recommender Mobile Compare LAPTOPS PC LAPTOPS PC Laptops PC LaptopsPC news LaptopsPC reviews SAMSUNG EVENT GADGETS Gadgets Mobile Finder Laptop Finder Tablet Finder RECOMMENDER Recommender Mobile Recommender Laptop Recommender Tablet Recommender COMPARE compare Mobile Comparison Laptop Comparison Tablet Comparison PHOTOS VIDEOS WEB STORIES HOW TO MORE More For You Home Appliances wearables gaming TV Saved Articles Top Sections News Mobile Mobile News Mobile Reviews Laptops PC LaptopsPC News LaptopsPC Reviews Samsung Event Wearables Wearables News Wearables Reviews Gaming Gaming News Gaming Reviews TV TV News TV Reviews Gadgets Mobile Finder Laptop Finder Tablet Finder Recommender Mobile Recommender Laptop Recommender Tablet Recommender Compare Mobile Comparison Laptop Comparison Tablet Comparison Photos Videos Web Stories How To More For You Home Appliances Explore Tech Us Sitemap RSS Terms Use HT Media Limited . Home Tech News Amazon rolling generative AI feature summarizes product reviews Amazon rolling generative AI feature summarizes product reviews Amazon rolling new generative AI feature summarizes product reviews customers. By:AP Updated on: Aug 14 2023, 17:22 IST Share Via Microsoft Teams rolls new generative AI tools boost frontline productivity 16 In response frontline workers facing challenges shortage advanced tools, Microsofts Work Trend Index shocking data state employees. Microsoft 26 The data shows, 1 2 frontline workers theyre burned work. Over 60 frontline workers struggle repetitive tasks time away meaningful work. Unsplash 36 45 likely consider changing employers year 65 optimistic AI help job. Pexels 46 The new tools integrated intelligent operations, effortless communication, trusted experiences. new Shifts plugin Microsoft 365 Copilot, managers ability rapidly pinpoint unresolved matters, including vacant shifts. They access Teams chat history, SharePoint, emails, more. Microsoft 56 Announcements Microsoft Viva Connections introduced enhanced communication. It help urgent announcements, rolespecific updates, safety policy changes frontline workers. REUTERS 66 To tackle compliance privacy issues handed overs, Teams introduced InTune easily integrate Android iOS devices Microsoft Entra ID previously known Azure Active Directory shared device mode. Microsoft View Images Earlier year, Amazon CEO Andy Jassy said letter shareholders generative AI big deal company. AFP Amazon rolling new generative AI feature summarizes product reviews customers.The feature, company began testing earlier year, designed help shoppers determine glance customers said product spend time reading individual reviews. It pick common themes summarize short paragraph product . The company wrote blog post published Monday AIgenerated reviews available subset mobile shoppers U.S. broad selection products. And expanded shoppers additional categories products coming months based customer feedback, said Vaughn Schermerhorn, Amazons director community shopping. The Seattlebased company looking ways integrate artificial intelligence product offerings generative AI race heats tech companies. Amazon released highprofile AI chatbot imaging tool. Instead, focusing services allow developers build generative AI tools cloud infrastructure AWS.Earlier year, Amazon CEO Andy Jassy said letter shareholders generative AI big deal company. He said earnings investors week single Amazons businesses currently multiple generative AI initiatives underway, including devices unit, works products like voice assistant Alexa.In addition AI generated review, company said Monday offer product insights feature allows customers surface common themes reviews. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. 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https://tech.hindustantimes.com/tech/news/did-you-know-chatgpt-can-almost-pass-us-medical-licensing-exam-71676005661645.html | 2023-02-12T00:00:00 | en | Did you know ChatGPT can (almost) pass US Medical Licensing Exam? | Tech News |
Did you know ChatGPT can (almost) pass US Medical Licensing Exam? | Tech News
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Home Tech News Did you know ChatGPT can (almost) pass US Medical Licensing Exam?
Did you know ChatGPT can (almost) pass US Medical Licensing Exam?
Kung and colleagues tested ChatGPT's performance on the USMLE, a highly standardized and regulated series of three exams (Steps 1, 2CK, and 3) required for medical licensure in the United States.
By:
ANI
| Updated on: Feb 10 2023, 11:40 IST
Share Via
Beware of fake ChatGPT apps! Already downloaded? Delete now
1/6
OpenAI's ChatGPT portal is rapidly gaining popularity. It uses state-of-the-art language processing techniques to generate human-like responses to text input and interacts conversationally with users to provide detailed answers on a wide range of topics. (Bloomberg)
2/6
But if you are looking to download the app from your Google Play Store or App Store, then beware! There are several fake ChatGPT-like apps that can be dangerous for your device. (Bloomberg)
3/6
You can find a bunch of fake ChatGPT apps on Google Play Store and App Store which can steal your data, a report by top10vpn revealed. Hence, if you have already downloaded them, then you should hurry and delete them quickly. (REUTERS)
4/6
Some of these apps on Android are: AI Chat Companion, ChatGPT 3: ChatGPT AI, Talk GPT – Talk to ChatGPT, ChatGPT AI Writing Assistant, Open Chat – AI Chatbot App. (Bloomberg)
5/6
Some apps are also available on Apple's App Store, which include: Genie - GPT AI Assistant, Write For Me GPT AI Assistant, ChatGPT - GPT 3, Alfred - Chat with GPT 3, Chat w. GPT AI - Write This, ChatGPT - AI Writing apps, Wiz AI Chat Bot Writing Helper, Chat AI: Personal AI Assistant, and Wisdom Ai - Your AI Assistant. (AFP)
6/6
However, it must be noted that OpenAI does not have an official standalone app for ChatGPT. Hence, you can use the feature in your browser while login to the official website at www.chat.openai.com/chat. (AP)
View all Images
New artificial intelligence (AI) system, called ChatGPT is intended to produce writing that resembles that of a person by anticipating future word sequences. (REUTERS)
ChatGPT can score at or around the roughly 60 per cent passing threshold for the United States Medical Licensing Exam (USMLE), with responses that make coherent, internal sense and contain frequent insights, according to a study by Tiffany Kung, Victor Tseng, and colleagues at AnsibleHealth that was published February 9, 2023, in the open-access journal PLOS Digital Health. A large language model (LLM), or new artificial intelligence (AI) system, called ChatGPT is intended to produce writing that resembles that of a person by anticipating future word sequences. ChatGPT is unable to conduct online searches, unlike most chatbots. Instead, it produces text based on word relationships that are predicted by internal processes. Kung and colleagues tested ChatGPT's performance on the USMLE, a highly standardized and regulated series of three exams (Steps 1, 2CK, and 3) required for medical licensure in the United States. Taken by medical students and physicians-in-training, the USMLE assesses knowledge spanning most medical disciplines, ranging from biochemistry, to diagnostic reasoning, to bioethics. After screening to remove image-based questions, the authors tested the software on 350 of the 376 public questions available from the June 2022 USMLE release. After indeterminate responses were removed, ChatGPT scored between 52.4 per cent and 75.0 per cent across the three USMLE exams. The passing threshold each year is approximately 60 per cent. ChatGPT also demonstrated 94.6 per cent concordance across all its responses and produced at least one significant insight (something that was new, non-obvious, and clinically valid) for 88.9 per cent of its responses. Notably, ChatGPT exceeded the performance of PubMedGPT, a counterpart model trained exclusively on biomedical domain literature, which scored 50.8 per cent on an older dataset of USMLE-style questions. While the relatively small input size restricted the depth and range of analyses, the authors note their findings provide a glimpse of ChatGPT's potential to enhance medical education, and eventually, clinical practice. For example, they add, clinicians at AnsibleHealth already use ChatGPT to rewrite jargon-heavy reports for easier patient comprehension. "Reaching the passing score for this notoriously difficult expert exam, and doing so without any human reinforcement, marks a notable milestone in clinical AI maturation," say the authors. Author Dr Tiffany Kung added that ChatGPT's role in this research went beyond being the study subject: "ChatGPT contributed substantially to the writing of [our] manuscript... We interacted with ChatGPT much like a colleague, asking it to synthesize, simplify, and offer counterpoints to drafts in progress...All of the co-authors valued ChatGPT's input."
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First Published Date: 10 Feb, 11:37 IST
Tags:
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| Did you know ChatGPT can (almost) pass US Medical Licensing Exam? | Did know ChatGPT pass US Medical Licensing Exam? Tech News Log In HOME NEWS MOBILE MOBILE Mobile Mobile News mobile reviews LAPTOPS PC LAPTOPS PC Laptops PC LaptopsPC news LaptopsPC reviews HOW TO HOW TO Apps Guide Google Guide iPhone Guide WhatsApp Guide Instagram Guide GADGETS Gadgets Mobile Finder Laptop Finder Tablet Finder RECOMMENDER Recommender Mobile Recommender Laptop Recommender Tablet Recommender COMPARE compare Mobile Comparison Laptop Comparison Tablet Comparison PHOTOS VIDEOS WEB STORIES FOR YOU MORE More Home Appliances wearables gaming TV Trending News Google Bard vs ChatGPT: What Differences Google Microsoft AI Chatbots? Oppo Reno 8T 5G Quick Review Android phones OS updates buy today WhatsApp account theft SLEEP Beware, steal Coke phone? CocaCola branded Cola Phone launching soon India, says leakster Trending Gadgets Mobiles Laptops Tablets Saved Articles Top Sections News Mobile Mobile News Mobile Reviews Laptops PC LaptopsPC News LaptopsPC Reviews How To Apps Guide Google Guide iPhone Guide WhatsApp Guide Instagram Guide Wearables Wearables News Wearables Reviews Gaming Gaming News Gaming Reviews TV TV News TV Reviews Gadgets Mobile Finder Laptop Finder Tablet Finder Recommender Mobile Recommender Laptop Recommender Tablet Recommender Compare Mobile Comparison Laptop Comparison Tablet Comparison Photos Videos For You More Home Appliances Explore Tech Us Sitemap RSS Terms Use HT Media Limited . Home Tech News Did know ChatGPT pass US Medical Licensing Exam? Did know ChatGPT pass US Medical Licensing Exam? Kung colleagues tested ChatGPTs performance USMLE, highly standardized regulated series exams Steps 1, 2CK, 3 required medical licensure United States. By: ANI Updated on: Feb 10 2023, 11:40 IST Share Via Beware fake ChatGPT apps Already downloaded? Delete 16 OpenAIs ChatGPT portal rapidly gaining popularity. It uses stateoftheart language processing techniques generate humanlike responses text input interacts conversationally users provide detailed answers wide range topics. Bloomberg 26 But looking download app Google Play Store App Store, beware There fake ChatGPTlike apps dangerous device. Bloomberg 36 You bunch fake ChatGPT apps Google Play Store App Store steal data, report top10vpn revealed. Hence, downloaded them, hurry delete quickly. REUTERS 46 Some apps Android are: AI Chat Companion, ChatGPT 3: ChatGPT AI, Talk GPT Talk ChatGPT, ChatGPT AI Writing Assistant, Open Chat AI Chatbot App. Bloomberg 56 Some apps available Apples App Store, include: Genie GPT AI Assistant, Write For Me GPT AI Assistant, ChatGPT GPT 3, Alfred Chat GPT 3, Chat w. GPT AI Write This, ChatGPT AI Writing apps, Wiz AI Chat Bot Writing Helper, Chat AI: Personal AI Assistant, Wisdom Ai Your AI Assistant. AFP 66 However, noted OpenAI official standalone app ChatGPT. Hence, use feature browser login official website AP View Images New artificial intelligence AI system, called ChatGPT intended produce writing resembles person anticipating future word sequences. REUTERS ChatGPT score roughly 60 cent passing threshold United States Medical Licensing Exam USMLE, responses coherent, internal sense contain frequent insights, according study Tiffany Kung, Victor Tseng, colleagues AnsibleHealth published February 9, 2023, openaccess journal PLOS Digital Health. A large language model LLM, new artificial intelligence AI system, called ChatGPT intended produce writing resembles person anticipating future word sequences. ChatGPT unable conduct online searches, unlike chatbots. Instead, produces text based word relationships predicted internal processes. Kung colleagues tested ChatGPTs performance USMLE, highly standardized regulated series exams Steps 1, 2CK, 3 required medical licensure United States. Taken medical students physiciansintraining, USMLE assesses knowledge spanning medical disciplines, ranging biochemistry, diagnostic reasoning, bioethics. After screening remove imagebased questions, authors tested software 350 376 public questions available June 2022 USMLE release. After indeterminate responses removed, ChatGPT scored 52.4 cent 75.0 cent USMLE exams. The passing threshold year approximately 60 cent. ChatGPT demonstrated 94.6 cent concordance responses produced significant insight new, nonobvious, clinically valid 88.9 cent responses. Notably, ChatGPT exceeded performance PubMedGPT, counterpart model trained exclusively biomedical domain literature, scored 50.8 cent older dataset USMLEstyle questions. While relatively small input size restricted depth range analyses, authors note findings provide glimpse ChatGPTs potential enhance medical education, eventually, clinical practice. For example, add, clinicians AnsibleHealth use ChatGPT rewrite jargonheavy reports easier patient comprehension. Reaching passing score notoriously difficult expert exam, human reinforcement, marks notable milestone clinical AI maturation, authors. Author Dr Tiffany Kung added ChatGPTs role research went study subject: ChatGPT contributed substantially writing [our] manuscript... We interacted ChatGPT like colleague, asking synthesize, simplify, offer counterpoints drafts progress...All coauthors valued ChatGPTs input. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. 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https://tech.hindustantimes.com/tech/news/google-co-founders-gain-17-billion-as-ai-boost-lifts-stock-71683913370039.html | 2023-05-13T00:00:00 | en | Google Co-Founders Gain $17 Billion as AI Boost Lifts Stock | Tech News |
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Home Tech News Google Co-Founders Gain $17 Billion as AI Boost Lifts Stock
Google Co-Founders Gain $17 Billion as AI Boost Lifts Stock
Larry Page’s net worth increased by $8.7 billion this week to $106.2 billion, while Sergey Brin’s rose $8.3 billion to $101.5 billion, as per reports.
By:BLOOMBERG
| Updated on: May 13 2023, 06:55 IST
Share Via
Google will start experimenting with a more conversational search engine and has made its AI-powered chatbot available more broadly, the Mountain View, California-based company said at its annual developer conference on Wednesday. (REUTERS)
Google will start experimenting with a more conversational search engine and has made its AI-powered chatbot available more broadly, the Mountain View, California-based company said at its annual developer conference on Wednesday. (REUTERS)
Google's co-founders are reaping the rewards of the artificial intelligence frenzy, adding more than $17 billion to their combined wealth as the company unveiled a revamped search engine.Larry Page's net worth increased by $8.7 billion this week to $106.2 billion, while Sergey Brin's rose $8.3 billion to $101.5 billion, according to the Bloomberg Billionaires Index. That puts them on track for their biggest weekly gain since February 2021. Google will start experimenting with a more conversational search engine and has made its AI-powered chatbot available more broadly, the Mountain View, California-based company said at its annual developer conference on Wednesday. That's helping the firm assert dominance in an increasingly competitive field. Shares of its parent, Alphabet Inc., were little changed at 10:57 a.m. in New York after surging 8.6% in the two days through Thursday. Page and Brin, who've been helping with the AI push and are more involved in the company than they've been in years, are among the biggest gainers of 2023 after adding more than $22 billion to their wealth. They rank as the eighth- and ninth-richest people in the world, respectively.Google's former chief executive officer, Eric Schmidt, is another beneficiary of the AI boom. He's invested in many startups in the field and has rejected public calls to slow down the speed of research, citing concerns over China's advances in tech.Most of his $23.5 billion fortune remains tied to Alphabet, where he's the third-largest individual shareholder. His net worth has gained $1.7 billion this week.
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First Published Date: 13 May, 06:54 IST
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| Google Co-Founders Gain $17 Billion as AI Boost Lifts Stock | Google CoFounders Gain 17 Billion AI Boost Lifts Stock Tech News Log In HOME NEWS MOBILE MOBILE Mobile Mobile News mobile reviews Mobile Finder Mobile Recommender Mobile Compare LAPTOPS PC LAPTOPS PC Laptops PC LaptopsPC news LaptopsPC reviews HOW TO GADGETS Gadgets Mobile Finder Laptop Finder Tablet Finder RECOMMENDER Recommender Mobile Recommender Laptop Recommender Tablet Recommender COMPARE compare Mobile Comparison Laptop Comparison Tablet Comparison PHOTOS VIDEOS WEB STORIES FOR YOU MORE More Home Appliances wearables gaming TV Saved Articles Top Sections News Mobile Mobile News Mobile Reviews Laptops PC LaptopsPC News LaptopsPC Reviews How To Wearables Wearables News Wearables Reviews Gaming Gaming News Gaming Reviews TV TV News TV Reviews Gadgets Mobile Finder Laptop Finder Tablet Finder Recommender Mobile Recommender Laptop Recommender Tablet Recommender Compare Mobile Comparison Laptop Comparison Tablet Comparison Photos Videos Web Stories For You More Home Appliances Explore Tech Us Sitemap RSS Terms Use HT Media Limited . Home Tech News Google CoFounders Gain 17 Billion AI Boost Lifts Stock Google CoFounders Gain 17 Billion AI Boost Lifts Stock Larry Pages net worth increased 8.7 billion week 106.2 billion, Sergey Brins rose 8.3 billion 101.5 billion, reports. By:BLOOMBERG Updated on: May 13 2023, 06:55 IST Share Via Google start experimenting conversational search engine AIpowered chatbot available broadly, Mountain View, Californiabased company said annual developer conference Wednesday. REUTERS Google start experimenting conversational search engine AIpowered chatbot available broadly, Mountain View, Californiabased company said annual developer conference Wednesday. REUTERS Googles cofounders reaping rewards artificial intelligence frenzy, adding 17 billion combined wealth company unveiled revamped search engine.Larry Pages net worth increased 8.7 billion week 106.2 billion, Sergey Brins rose 8.3 billion 101.5 billion, according Bloomberg Billionaires Index. That puts track biggest weekly gain February 2021. Google start experimenting conversational search engine AIpowered chatbot available broadly, Mountain View, Californiabased company said annual developer conference Wednesday. Thats helping firm assert dominance increasingly competitive field. Shares parent, Alphabet ., little changed 10:57 a.m. New York surging 8.6 days Thursday. Page Brin, whove helping AI push involved company theyve years, biggest gainers 2023 adding 22 billion wealth. They rank eighth ninthrichest people world, respectively.Googles chief executive officer, Eric Schmidt, beneficiary AI boom. Hes invested startups field rejected public calls slow speed research, citing concerns Chinas advances tech.Most 23.5 billion fortune remains tied Alphabet, hes thirdlargest individual shareholder. His net worth gained 1.7 billion week. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. First Published Date: 13 May, 06:54 IST Tags: google artificial intelligence 71683913370039 NEXT ARTICLE BEGINS Tips Tricks TrueCaller SMS filter iPhone kill spam Just Love photography? Know use iPhone 14 Pro, iPhone 14 Pro Max 48MP camera iPhone secret feature capture fascinating light trails Use THIS way Cant iPhone WiFi password? Check iOS 16 trick Is iPhone battery health good bad? Here need replace Editors Pick Gizmore Vogue Review: Smartwatch looks premium, work like one? Tecno Phantom V Fold Pics: First look affordable foldable smartphone India Switching iPhone 12 iPhone 14: Is worth upgrading to? 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https://tech.hindustantimes.com/tech/news/my-eyeball-met-with-sam-altman-s-crypto-ai-scanner-71690568674097.html | 2023-07-29T00:00:00 | en | My Eyeball Met With Sam Altman’s Crypto AI Scanner | Tech News |
My Eyeball Met With Sam Altman’s Crypto AI Scanner | Tech News
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Home Tech News My Eyeball Met With Sam Altman’s Crypto AI Scanner
My Eyeball Met With Sam Altman’s Crypto AI Scanner
Worldcoin says it wants to ID humanity, but it needs more regulatory scrutiny first.
By:BLOOMBERG
| Updated on: Jul 29 2023, 06:04 IST
Share Via
After launching this week, the digital money more than doubled in value before falling as much as 90%. (Bloomberg)
After launching this week, the digital money more than doubled in value before falling as much as 90%. (Bloomberg)
Sam Altman's imprimatur has given a new lease of life to cryptocurrency Worldcoin, whose orb-shaped iris scanners — key to verifying individuals who can then claim free tokens — are now being pitched as humanity's future ID system in a world dominated by artificial intelligence. The hype has certainly been very human: After launching this week, the digital money more than doubled in value before falling as much as 90%.So far, so crypto. Clearly, there'll always be some kind of market for speculative tokens lacking intrinsic value. But Worldcoin does have something worth taking a closer look at: Those orbs, and the apparent willingness of 2 million people and counting to scan their irises in return for… well, what exactly? In a world where our data is regularly hoovered up by web browsers, social-media networks and smartphone apps, why would people willingly hand sensitive biometrics to Worldcoin and its opaque foundation, based in the regulation-lite Cayman Islands, especially after reports of hacks and fraud? I decided to take a look for myself and booked an appointment with a newly-arrived Worldcoin orb in Paris's Latin Quarter, where 1960s students once rebelled against the established order. Today, they're more likely to relish the chance to work on an AI project like this one. When I step into the hipster-ish cafe where the tell-tale chrome orb is busy scanning one of its first customers on Thursday, I'm greeted by a Worldcoin operator called Paul, a graduate audio engineer, who's doing this as a summer job after finishing his studies. As Paul runs through the familiar pitch of Worldcoin's end goal of proving “personhood” by scanning 8 billion people's eyes, in turn generating unique identifiers and using that database to verify access to anything from financial services to universal basic income, I note the company logo on his T-shirt — a picture of the world combined with the Greek letter “epsilon” and a circle. It all feels like a bad episode of Star Trek: A utopian vision intended to escape a future of AI machines, but with its own gloomy unintended consequences. Why should we trust this company to manage such a global digital turnstile? How easy will it be for others to “enrich” this ID with more of my personal data? And aren't Worldcoin's early backers — including the likes of Sam Bankman-Fried and Three Arrows Capital — best placed to cash out first whatever happens?Unlike Worldcoin's first “field tests” in countries such as Indonesia, which prompted accounts of exploitation and invasion of privacy, I have a hard time believing many French people would willingly peer into a chrome-shaped orb for a few tokens, at least not without asking some tough questions about reports of a black market for those ID codes in territories such as China. After all, this is Western Europe, the land of the GDPR, where people take privacy seriously and where tech regulation comes before tech innovation.I'm wrong, it turns out, as a steady line of willing eyeballs mostly belonging to trendy-looking men forms. There's little chit-chat — the aim is to claim one's free Worldcoin, and data privacy seems less urgent. One bewildered-looking middle-aged man who finishes his scan asks: “Do I have to pay?” Seeing his relief at the answer, I point out: “But you already did pay. You gave your iris scan.” I am quickly corrected by Paul, who tells me that the orb deletes the scan — instead, what's transmitted is a unique ID code that proves its owner is a human, but nothing more.That may be true, but it shows to what extent consent becomes a fuzzy concept when handing over sensitive data, even if it can't be traced back to its original owner. Do I really know how my unique ID, based on my biometrics, will be used in the future, or potentially cross-pollinated with other data? Hence why the UK's data regulator is taking a closer look — it told Bloomberg News that users need to be able to withdraw their consent “without detriment” — and why other European regulators will, too.It's finally my turn to volunteer my eyeball to Worldcoin — something I probably wouldn't do without writing this column in mind. The process takes seconds rather than minutes: The app generates a QR code, the orb scans it, and then I look into its eye for a few seconds. I can't hear it speak above the hubbub of the cafe, but I'm assured that a soothing female voice is guiding me through the whole thing. The Worldcoin vision for the future is of orbs manufactured everywhere, bringing in ID revenue — again, the kind of dystopian sci-fi concept that Parisian students might once have equated with social order and discipline. Today, tech's panopticon is greeted as data-driven, utilitarian — and of course potentially profitable. One can imagine what the reaction would be if the government tried to roll out its own all-seeing orbs, though.As I leave, I ask another happy customer, a 37-year-old developer called Jonathan, holding a futuristic-looking monocycle, why he got his iris scanned. He tells me he's interested in the project, the aim of verifying human-ness, and in Altman's vision. But when I ask him whether he would have done this without free crypto(1), he admits he's been looking at the price since launch. “It's starting to look expensive,” he says, “and usually it's not a good idea to buy when there's buzz.” Getting something for nothing, though, was evidently worth a closer look — as long as you turn a blind eye to the cost of giving up more of your personal data.
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First Published Date: 29 Jul, 05:54 IST
Tags:
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Home Tech News My Eyeball Met With Sam Altmans Crypto AI Scanner My Eyeball Met With Sam Altmans Crypto AI Scanner Worldcoin says wants ID humanity, needs regulatory scrutiny first. By:BLOOMBERG Updated on: Jul 29 2023, 06:04 IST Share Via After launching week, digital money doubled value falling 90. Bloomberg After launching week, digital money doubled value falling 90. Bloomberg Sam Altmans imprimatur given new lease life cryptocurrency Worldcoin, orbshaped iris scanners key verifying individuals claim free tokens pitched humanitys future ID world dominated artificial intelligence. The hype certainly human: After launching week, digital money doubled value falling 90.So far, crypto. Clearly, therell kind market speculative tokens lacking intrinsic value. But Worldcoin worth taking closer look at: Those orbs, apparent willingness 2 million people counting scan irises return well, exactly? In world data regularly hoovered web browsers, socialmedia networks smartphone apps, people willingly hand sensitive biometrics Worldcoin opaque foundation, based regulationlite Cayman Islands, especially reports hacks fraud? I decided look booked appointment newlyarrived Worldcoin orb Pariss Latin Quarter, 1960s students rebelled established order. Today, theyre likely relish chance work AI project like one. When I step hipsterish cafe telltale chrome orb busy scanning customers Thursday, Im greeted Worldcoin operator called Paul, graduate audio engineer, whos summer job finishing studies. As Paul runs familiar pitch Worldcoins end goal proving personhood scanning 8 billion peoples eyes, turn generating unique identifiers database verify access financial services universal basic income, I note company logo Tshirt picture world combined Greek letter epsilon circle. It feels like bad episode Star Trek: A utopian vision intended escape future AI machines, gloomy unintended consequences. Why trust company manage global digital turnstile? How easy enrich ID personal data? And arent Worldcoins early backers including likes Sam BankmanFried Three Arrows Capital best placed cash happens?Unlike Worldcoins field tests countries Indonesia, prompted accounts exploitation invasion privacy, I hard time believing French people willingly peer chromeshaped orb tokens, asking tough questions reports black market ID codes territories China. After all, Western Europe, land GDPR, people privacy seriously tech regulation comes tech innovation.Im wrong, turns out, steady line willing eyeballs belonging trendylooking men forms. Theres little chitchat aim claim ones free Worldcoin, data privacy urgent. One bewilderedlooking middleaged man finishes scan asks: Do I pay? Seeing relief answer, I point out: But pay. You gave iris scan. I quickly corrected Paul, tells orb deletes scan instead, whats transmitted unique ID code proves owner human, more.That true, shows extent consent fuzzy concept handing sensitive data, traced original owner. Do I know unique ID, based biometrics, future, potentially crosspollinated data? Hence UKs data regulator taking closer look told Bloomberg News users need able withdraw consent detriment European regulators will, too.Its finally turn volunteer eyeball Worldcoin I probably wouldnt writing column mind. The process takes seconds minutes: The app generates QR code, orb scans it, I look eye seconds. I hear speak hubbub cafe, Im assured soothing female voice guiding thing. The Worldcoin vision future orbs manufactured everywhere, bringing ID revenue again, kind dystopian scifi concept Parisian students equated social order discipline. Today, techs panopticon greeted datadriven, utilitarian course potentially profitable. One imagine reaction government tried roll allseeing orbs, though.As I leave, I ask happy customer, 37yearold developer called Jonathan, holding futuristiclooking monocycle, got iris scanned. He tells hes interested project, aim verifying humanness, Altmans vision. But I ask free crypto1, admits hes looking price launch. Its starting look expensive, says, usually good idea buy theres buzz. Getting nothing, though, evidently worth closer look long turn blind eye cost giving personal data. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. First Published Date: 29 Jul, 05:54 IST Tags: artificial intelligence 71690568674097 NEXT ARTICLE BEGINS Tips Tricks iOS 16 trick: Get rid background noise calls iPhone way Generate AI images free Microsoft Bing Image Creator words; Here Seeing unrelated posts? Know posts people follow Threads Threads app Windows 11 laptop? It possible Just THIS iWipe Remove background magically photo iOS 16 trick iPhone Editors Pick Oppo Reno 10 Pro 5G: First look Oppos new smartphone Samsung Galaxy F54 5G review: Cameras shine, design falls short Realme Narzo N53 Review: A lot thrills Rs. 10000 Kodak CA PRO 65 review: Big bang budget Google Pixel 7a Review: 2023s Best Valueformoney smartphone Trending Stories Reliance Jio launches JioBharat V2 4G priced 999; internet Check photos This app turn smartphone thermometer detect fever YouTubes new AIPowered tool enables automatic dubbing video creators Say goodbye slowdowns These 3 iPhone hacks boost speed level WWDC23: Top 5 features iOS 17 brought iPhones; Messages Journal, check tech Facebook Twitter Gaming Shocking attack COD Call Duty players getting targeted hackers lobbies Massive sale Epic Games Summer sale offers 75 off; GTA V, FIFA 23, Dream game Catch Pokemon sleep Pokemon Sleep Steam freebies 6 Exciting new games play today Digits, FUN math puzzle New York Times killed soon Trending News Reliance Jio launches JioBharat V2 4G priced 999; internet Check photos This app turn smartphone thermometer detect fever YouTubes new AIPowered tool enables automatic dubbing video creators Say goodbye slowdowns These 3 iPhone hacks boost speed level WWDC23: Top 5 features iOS 17 brought iPhones; Messages Journal, check Trending Gadgets Mobiles Laptops Tablets Connect us: Download HT app read Tech stories: Categories Latest News Tech News Home Appliances TV TV News TV Reviews How To Videos Photos Games Wearables Wearable News Wearable Reviews Laptops Laptop News Laptops Review Mobile Mobile News Mobile reviews Phones By Prices Mobile Phones 10000 Mobile Phones 15000 Mobile Phones 20000 Mobile Phones 25000 Mobile Phones 30000 Mobile Phones 35000 Mobile Phones 40000 Mobile Phones Nokia Apple Oppo Samsung Realme Oneplus Xiaomi Vivo LG Micromax Sony Lenovo Trending Topics iPhone 14 Price iPhone 14 vs iPhone 14 Plus iPhone 13 Pro Jio Recharge Plan Budget Mobile Phones Budget Smartphones YouTube Videos Download Free Fire Redeem Code Today 2022 TRENDING HOW TO How remove password PDF How Get Emojis WhatsApp How delete Facebook account permanently How restore deleted Instagram posts How earn money YouTube Us Terms Use RSS Sitemap 2023 Tech HindustanTimes | 2,023 | [
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https://tech.hindustantimes.com/web-stories/forget-chatgpt-these-3-ai-tools-are-mind-blowing-meet-agent-gpt-jasper-chat-and-github-copilot-x-71685890427952.html | 2023-06-04T00:00:00 | en | Forget ChatGPT! These 3 AI tools are mind-blowing! Meet Agent GPT, Jasper Chat and Github copilot X |
Forget ChatGPT! These 3 AI tools are mind-blowing! Meet Agent GPT, Jasper Chat and Github copilot X
Forget ChatGPT! These 3 AI tools are mind-blowing! Meet Agent GPT, Jasper Chat and Github copilot X
Hindustan Times Tech
Posted By HT Tech Published Jun 04, 2023
Photo Credit: Pexels
We are sure that you have been left impressed by ChatGPT's capabilities. However, it is also likely that you have not tried too many other alternatives. Well, here is your chance to try 3 AI tools that may be better than ChatGPT at their task.
Photo Credit: pexels
So, if you think ChatGPT is one of its kind, then the answer is no. Meet Agent GPT, Jasper Chat and Github copilot X. They are really fun to use and very effective at the same time.
Photo Credit: pexels
Agent GPT:
It is built upon GPT 3.5 architecture. It allows developers to create custom chatbots and AI agents. It works autonomously. With mind-blowing precision it automates tasks on its own when prompted.
Photo Credit: pexels
The most important part here is that it does not require detailed prompts. A simple elucidation of the goals should suffice!
Photo Credit: Pixabay
Jasper chat:
It is a conversational chatbot that feels surprisingly like a human. It is your own conversational AI assistant, the kind of brother-in-arms that you have always pined for.
Photo Credit: Pixabay
It can be used to generate ideas, revise content and many other tasks. One can chat with Jasper simply like a co-worker or a friend.
Photo Credit: Pixabay
Github copilot X:
It is an AI powered software (coding) tool. It has chat and voice features in order to improve coding experience.
Photo Credit: NASA
It has chat features too and can explain codes and help coders rectify mistakes.
Click here
| Forget ChatGPT! These 3 AI tools are mind-blowing! Meet Agent GPT, Jasper Chat and Github copilot X | Forget ChatGPT These 3 AI tools mindblowing Meet Agent GPT, Jasper Chat Github copilot X Forget ChatGPT These 3 AI tools mindblowing Meet Agent GPT, Jasper Chat Github copilot X Hindustan Times Tech Posted By HT Tech Published Jun 04, 2023 Photo Credit: Pexels We sure left impressed ChatGPTs capabilities. However, likely tried alternatives. Well, chance try 3 AI tools better ChatGPT task. Photo Credit: pexels So, think ChatGPT kind, answer no. Meet Agent GPT, Jasper Chat Github copilot X. They fun use effective time. Photo Credit: pexels Agent GPT: It built GPT 3.5 architecture. It allows developers create custom chatbots AI agents. It works autonomously. With mindblowing precision automates tasks prompted. Photo Credit: pexels The important require detailed prompts. A simple elucidation goals suffice Photo Credit: Pixabay Jasper chat: It conversational chatbot feels surprisingly like human. It conversational AI assistant, kind brotherinarms pined for. Photo Credit: Pixabay It generate ideas, revise content tasks. One chat Jasper simply like coworker friend. Photo Credit: Pixabay Github copilot X: It AI powered software coding tool. It chat voice features order improve coding experience. Photo Credit: NASA It chat features explain codes help coders rectify mistakes. Click | 2,023 | [
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https://techcentral.co.za/kid-datarobot-partnership-makes-data-science-accessible-to-every-business-kidprom/217317/ | 2022-11-11T00:00:00 | en | KID, DataRobot partnership makes data science accessible to every business - TechCentral IT services |
KID, DataRobot partnership makes data science accessible to every business - TechCentral IT services
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Home » Sections » IT services » KID, DataRobot partnership makes data science accessible to every business
KID, DataRobot partnership makes data science accessible to every businessPromoted | A partnership between Knowledge Integration Dynamics and DataRobot is automating and democratising AI and ML, putting it into the hands of more South African businesses.By Knowledge Integration Dynamics11 November 2022
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Amid soaring demand for tools to enable the data-driven organisation, a partnership between data specialists Knowledge Integration Dynamics (KID) and global AI cloud leader DataRobot is automating and democratising artificial intelligence (AI) and machine learning (ML), putting it into the hands of more South African businesses.
Markus Top, who is heading up the partnership at KID, says it is a logical next step for KID, which has supported South African enterprises through their data journey for over 20 years.
“Every business today wants to be data driven and embed AI at scale. However, until fairly recently achieving this has been a costly and time-consuming task,” Top says. “With DataRobot, the manual, time-consuming processes within AI and ML projects are largely automated, allowing businesses to transform and innovate faster.”
With DataRobot, the manual, time-consuming processes within AI and ML projects are largely automated
DataRobot democratises AI across the entire AI lifecycle, making it easy to embed ML into business processes at scale, with best practice and guardrails in place. For businesses, this means faster time to insight and a competitive edge, for IT and DevOps it means it’s easier to get ML models into production and monitor them, and for data scientists and subject matter experts, it means speed, impact and scalability of solutions.
DataRobot also delivers centralised monitoring, management, governance and alerting with a continuous AI framework with automated retraining, and challenger models for model comparison. DataRobot also allows data scientists to build models using their preferred tools and languages and deploy them to the DataRobot platform.
Andre Balleyguier, vice president, International Data Science, at DataRobot, says: “Since its inception 10 years ago, DataRobot has been a market leader and a category creator in using automation and guardrails across the end-to-end ML workflow, making model development, deployment and management easier, faster and more aligned with enterprise governance standards.”
AI data solutions
“This partnership brings to South Africa a very focused set of AI data solutions,” says Johann van der Walt, director of operations at KID. “DataRobot is one of few platforms dedicated entirely to AI and ML. From a maturity point of view, it is at the front of the pack. And KID focuses purely on the data management lifecycle: over 23 years, we have naturally grown into what the ‘big next’ is for industry. When it was integration, MDM, data quality, governance and predictive analytics, we were there. Now, together with DataRobot, we see the need to democratise data solutions to meet changing business needs, and we have moved to meet this need.”
Van der Walt says South African organisations are seeking improved predictive capabilities, often to support compliance and risk management. “While banks and financial institutions were early adopters, we now see organisations across sectors looking to use AI and ML to achieve efficiencies, market share and a competitive edge, and companies want to move forward faster than competitors,” he says.
Putting data scientists higher up the value chain
Balleyguier says DataRobot not only makes AI development faster and easier, it also allows organisations to address the shortage in data science talent. “The need for experts in AI and ML is stronger than ever, particularly in markets like South Africa. Moreover, data scientists often get stuck in mundane and repetitive coding tasks that result in months of development for a single solution. These tasks could be automated to allow them to spend more time on higher-value activities driving business value,” he says. DataRobot offers a Web-based visual user interface, as well as API access that code-first users can leverage through their preferred IDE or notebook tools.
Janco van Niekerk, data scientist at KID, says AI and ML projects can be tedious work – particularly for highly skilled and qualified data scientists. “These projects can be very time consuming: you may first have to make sure everyone understands what AI and ML are, the business comes with ideas, then you meet in the middle and decide on an approach. Then after that, there is a lot of coding, with months of manual, tedious and repetitive tasks to deliver an ML project. But with DataRobot this all becomes shockingly easy,” he says.
DataRobot enables organisations to deliver a great AI or ML service without having to find more data scientists with master’s degrees and doctorates
Van der Walt notes that the massive data scientist shortage has resulted in headhunting and staff movement, driving costs up. “DataRobot enables organisations to deliver a great AI or ML service without having to find more data scientists with master’s degrees and doctorates.”
Human adds: “As more young data scientists enter the field, DataRobot will empower them to take charge of projects and free up senior staff to address the more complex projects. This will change the profile of the skills required and over time it will help address the skills shortages.”
The KID Group and DataRobot are bronze sponsors at the CDAO Africa Conference on 15 and 16 November at the Sandton Convention Centre. Visit them at their stand.
About the KID Group
The KID Group is a private group of companies providing expert consulting, professional services and technologies in the Southern African region.
With the head office in Johannesburg and satellite offices in Cape Town, Durban and Pretoria, the KID Group employs experts across the range of data management, business intelligence and customer services outsourcing. Our combined 300+ team is diverse, not only in terms of our racial and gender mix but also in terms of the skills and experiences they bring to the projects we undertake.
Deep experience, developed over 20+ years, enable us to offer hundreds of years of combined experience in data management, data science, data engineering, business intelligence and customer services. As a result, we are able to put together the best combination of skills required to staff any data-centric project and provide the necessary management to ensure an effective outcome.
For more, connect with Knowledge Integration Dynamics on LinkedIn, Facebook or Twitter.
This promoted content was paid for by the party concerned
Andre Balleyguier DataRobot Janco van Niekerk Johann van der Walt KID Knowledge Integration Dynamics Markus Top
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| KID, DataRobot partnership makes data science accessible to every business | KID, DataRobot partnership makes data science accessible business TechCentral IT services for: Facebook Twitter YouTube LinkedIn Facebook Twitter LinkedIn YouTube NEWSLETTER News Musk warns Twitter face bankruptcy11 November 2022 MultiChoice defends World Cup spending splurge10 November 2022 Im sorry, I fed up: Inside FTX collapse10 November 2022 Prosus gives R7billion stake Russias VK10 November 2022 South Africa losing billions poorquality software10 November 2022 World Sam BankmanFried faces SEC probe FTX empire crumbles11 November 2022 AMD launches new data centre CPU challenge Intel11 November 2022 FTX hurtles bankruptcy10 November 2022 Apple limits filesharing tool protestors China10 November 2022 Hubble reveals huge stars explosion blowbyblow detail10 November 2022 Indepth Alternatives Twitter: Elon Musk users flocking elsewhere7 November 2022 Photos: Inside NTTs new Johannesburg data centre26 October 2022 After 57 years, Moores Law holds costs soaring12 October 2022 Forget car: Apple ebike11 October 2022 Elon Musk taps inner Trump Twitter machinations10 October 2022 Tech Shows TCDaily This startup wants save Eskom9 November 2022 TCDaily Michael Markovitz: My years SABC board7 November 2022 TCDaily TV white spaces current state play, Keith Pitout2 November 2022 TCDaily Vumatels audacious plan fibre everyone31 October 2022 Everything PC S02E06 The gear want, gear have28 October 2022 Opinion Virtual bank cards big opportunity South African business9 November 2022 Open banking drive financial inclusion Africa19 October 2022 Light end load shedding tunnel26 September 2022 Gerrit Smit Alphabets underappreciated growth drivers21 September 2022 The patent absurdities surrounding software patents13 September 2022 Company Hubs Africa Data Centres Altron Document Solutions Atvance Intellect CoCre8 E4 ESET Euphoria Telecom LSD Micro Focus Microsoft MiRO Pinnacle Skybox Security SkyWire Tarsus Demand Varonis Videri Digital Zendesk Sections Banking Broadcasting Media Cloud computing Consumer electronics Cryptocurrencies Education skills Energy Fintech Information security Internet connectivity Internet Things Investment IT services Motoring transport Public sector Science Social media Talent leadership Telecoms Advertise Home Sections IT services KID, DataRobot partnership makes data science accessible business KID, DataRobot partnership makes data science accessible businessPromoted A partnership Knowledge Integration Dynamics DataRobot automating democratising AI ML, putting hands South African businesses.By Knowledge Integration Dynamics11 November 2022 Facebook Twitter LinkedIn WhatsApp Telegram Email Amid soaring demand tools enable datadriven organisation, partnership data specialists Knowledge Integration Dynamics KID global AI cloud leader DataRobot automating democratising artificial intelligence AI machine learning ML, putting hands South African businesses. Markus Top, heading partnership KID, says logical step KID, supported South African enterprises data journey 20 years. Every business today wants data driven embed AI scale. However, fairly recently achieving costly timeconsuming task, Top says. With DataRobot, manual, timeconsuming processes AI ML projects largely automated, allowing businesses transform innovate faster. With DataRobot, manual, timeconsuming processes AI ML projects largely automated DataRobot democratises AI entire AI lifecycle, making easy embed ML business processes scale, best practice guardrails place. For businesses, means faster time insight competitive edge, IT DevOps means easier ML models production monitor them, data scientists subject matter experts, means speed, impact scalability solutions. DataRobot delivers centralised monitoring, management, governance alerting continuous AI framework automated retraining, challenger models model comparison. DataRobot allows data scientists build models preferred tools languages deploy DataRobot platform. Andre Balleyguier, vice president, International Data Science, DataRobot, says: Since inception 10 years ago, DataRobot market leader category creator automation guardrails endtoend ML workflow, making model development, deployment management easier, faster aligned enterprise governance standards. AI data solutions This partnership brings South Africa focused set AI data solutions, says Johann van der Walt, director operations KID. DataRobot platforms dedicated entirely AI ML. From maturity point view, pack. And KID focuses purely data management lifecycle: 23 years, naturally grown big industry. When integration, MDM, data quality, governance predictive analytics, there. Now, DataRobot, need democratise data solutions meet changing business needs, moved meet need. Van der Walt says South African organisations seeking improved predictive capabilities, support compliance risk management. While banks financial institutions early adopters, organisations sectors looking use AI ML achieve efficiencies, market share competitive edge, companies want forward faster competitors, says. Putting data scientists higher value chain Balleyguier says DataRobot makes AI development faster easier, allows organisations address shortage data science talent. The need experts AI ML stronger ever, particularly markets like South Africa. Moreover, data scientists stuck mundane repetitive coding tasks result months development single solution. These tasks automated allow spend time highervalue activities driving business value, says. DataRobot offers Webbased visual user interface, API access codefirst users leverage preferred IDE notebook tools. Janco van Niekerk, data scientist KID, says AI ML projects tedious work particularly highly skilled qualified data scientists. These projects time consuming: sure understands AI ML are, business comes ideas, meet middle decide approach. Then that, lot coding, months manual, tedious repetitive tasks deliver ML project. But DataRobot shockingly easy, says. DataRobot enables organisations deliver great AI ML service data scientists masters degrees doctorates Van der Walt notes massive data scientist shortage resulted headhunting staff movement, driving costs up. DataRobot enables organisations deliver great AI ML service data scientists masters degrees doctorates. Human adds: As young data scientists enter field, DataRobot empower charge projects free senior staff address complex projects. This change profile skills required time help address skills shortages. The KID Group DataRobot bronze sponsors CDAO Africa Conference 15 16 November Sandton Convention Centre. Visit stand. About KID Group The KID Group private group companies providing expert consulting, professional services technologies Southern African region. With head office Johannesburg satellite offices Cape Town, Durban Pretoria, KID Group employs experts range data management, business intelligence customer services outsourcing. Our combined 300 team diverse, terms racial gender mix terms skills experiences bring projects undertake. Deep experience, developed 20 years, enable offer hundreds years combined experience data management, data science, data engineering, business intelligence customer services. As result, able best combination skills required staff datacentric project provide necessary management ensure effective outcome. For more, connect Knowledge Integration Dynamics LinkedIn, Facebook Twitter. This promoted content paid party concerned Andre Balleyguier DataRobot Janco van Niekerk Johann van der Walt KID Knowledge Integration Dynamics Markus Top Share. Facebook Twitter LinkedIn WhatsApp Telegram Email Previous ArticleDStv Streama turns TV entertainment hub Related Posts DStv Streama turns TV entertainment hub11 November 2022 Sam BankmanFried faces SEC probe FTX empire crumbles11 November 2022 AMD launches new data centre CPU challenge Intel11 November 2022 Add A Comment Comments closed. Promoted KID, DataRobot partnership makes data science accessible business11 November 2022 DStv Streama turns TV entertainment hub11 November 2022 Is best contact centre manager actually agent?10 November 2022 Opinion Virtual bank cards big opportunity South African business9 November 2022 Open banking drive financial inclusion Africa19 October 2022 Light end load shedding tunnel26 September 2022 Updates Get best South African technology news analysis delivered email inbox morning. 2009 2022 NewsCentral Media Submit Type press Enter search. Press Esc cancel. | 2,022 | [
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https://techcodex.com/an-ai-researcher-claims-that-ais-emergent-abilities-are-illusory/ | 2023-05-11T00:00:00 | en | An AI Researcher Claims that AI's "Emergent Abilities" are Illusory |
An AI Researcher Claims that AI's "Emergent Abilities" are Illusory
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An AI Researcher Claims that AI’s “Emergent Abilities” are Illusory
May 10, 2023 by Jessica Irvine
New research suggest it’s a flaw in the detection method that’s making emergent AI abilities appear
getty
On May 10th at the Stanford Data Science 2023 Conference, computer science researcher Rylan Schaeffer will present a paper published on the preprint server arXiv.org that challenges claims of emergent abilities in AI large language models (LLMs).
Emergent abilities are skills that suddenly and unpredictably show up (emerge) in AI systems. In the past year, emergent abilities have gained significant attention as intelligent machines acquire more skills and our understanding of what’s happening inside them grows more opaque.
Schaeffer isn’t downplaying the breakneck progress of artificial intelligence. Nor is he saying that emergent abilities aren’t possible or even happening. His research shows that many of the current claims of emergence appear to be the result of a skewed way of measuring the phenomenon. If this is the case, we could be in a bigger pickle in terms of AI safety and alignment if our detection methods for emergent abilities are flawed.
Emergent Abilities (a.k.a emergent capabilities or emergent properties) was a term introduced in a 2022 paper by researchers at Google Brain, DeepMind and Stanford. Schaeffer noticed their study used an extreme, all-or-nothing method of measuring emergent abilities. If the AI wasn’t perfect, an emergent ability wasn’t clocked until it was perfect. This might make a new skill look like it emerged sharply and unpredictably when the AI was actually improving at tasks at a steady rate.
When asked for comment, the researchers who first reported emergent abilities commended Schaeffer and his team’s skepticism and well-executed analysis. They maintain that there’s still compelling evidence of qualitative changes that come from scaling these AI language models.
Schaeffer says that skills don’t have to be emergent for AI models to become significantly more capable and potentially dangerous. This is why it’s imperative we be able to accurately measure how AI is developing. Like many of his colleagues, Schaeffer is concerned with how the whole field of AI research is moving so hastily it’s blowing through controls that have been the stalwart of the scientific method. “The problem with dealing with these large AI models is that you don’t have access to the models,” says Schaeffer. “You can’t even feed them input because the models are controlled by private companies.” Schaeffer says independent researchers often have to construct data sets and send them into the companies to run on their models. Then the companies score the outputs and send them back to the researcher. Schaeffer notes that these companies are incentivized to overestimate AI capabilities in a positive light to help sell products and likewise minimize possible harmful side effects that might be bad for business.
“The fact that these models are private, that information is controlled, makes it very hard to do science,” says Schaeffer.
Schaeffer’s paper “Are Emergent Abilities of Large Language Models a Mirage?” is under peer review for the NeurIPS conference in December. For an in-depth discussion on AI emergence and AI safety and alignment, you can watch my interview with Schaeffer below:
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| An AI Researcher Claims that AI's "Emergent Abilities" are Illusory | An AI Researcher Claims AIs Emergent Abilities Illusory Skip content MENU Home Technology Gaming Entertainment Comics Science Reviews The Best How To MENU Home Technology Gaming Entertainment Comics Science Reviews The Best How To An AI Researcher Claims AIs Emergent Abilities Illusory May 10, 2023 Jessica Irvine New research suggest flaw detection method thats making emergent AI abilities appear getty On May 10th Stanford Data Science 2023 Conference, science researcher Rylan Schaeffer present paper published preprint server challenges claims emergent abilities AI large language models LLMs. Emergent abilities skills suddenly unpredictably emerge AI systems. In past year, emergent abilities gained significant attention intelligent machines acquire skills understanding whats happening inside grows opaque. Schaeffer isnt downplaying breakneck progress artificial intelligence. Nor saying emergent abilities arent possible happening. His research shows current claims emergence appear result skewed way measuring phenomenon. If case, bigger pickle terms AI safety alignment detection methods emergent abilities flawed. Emergent Abilities a.k.a emergent capabilities emergent properties term introduced 2022 paper researchers Google Brain, DeepMind Stanford. Schaeffer noticed study extreme, allornothing method measuring emergent abilities. If AI wasnt perfect, emergent ability wasnt clocked perfect. This new skill look like emerged sharply unpredictably AI actually improving tasks steady rate. When asked comment, researchers reported emergent abilities commended Schaeffer teams skepticism wellexecuted analysis. They maintain theres compelling evidence qualitative changes come scaling AI language models. Schaeffer says skills dont emergent AI models significantly capable potentially dangerous. This imperative able accurately measure AI developing. Like colleagues, Schaeffer concerned field AI research moving hastily blowing controls stalwart scientific method. The problem dealing large AI models dont access models, says Schaeffer. You feed input models controlled private companies. Schaeffer says independent researchers construct data sets send companies run models. Then companies score outputs send researcher. Schaeffer notes companies incentivized overestimate AI capabilities positive light help sell products likewise minimize possible harmful effects bad business. The fact models private, information controlled, makes hard science, says Schaeffer. Schaeffers paper Are Emergent Abilities Large Language Models Mirage? peer review NeurIPS conference December. For indepth discussion AI emergence AI safety alignment, watch interview Schaeffer below: FOLLOW ON GOOGLE NEWS Reference Denial responsibilityTechCodex automatic aggregator worlds media. In content, hyperlink primary source specified. All trademarks belong rightful owners, materials authors. For complaint, reach [emailprotected]. We necessory action 24 hours. Categories Science Tags ai, Alignment, , emergent abilities, machine learning, Schaeffer Leave Comment Cancel replyCommentName Email Website Save name, email, website browser time I comment. Recent PostsGoogle Challenges iPad Dominance Introducing Unique Tablet Fast X Feature Cameo Paul Walkers Daughter Improving Prediction Management Tropical Cyclones Understanding Patterns New Framework Finalized The Witcher Project Sirius, Potentially Salvaged Work. My limit new smartphone 250. Privacy s: This site uses cookies. By continuing use website, agree use. To more, including control cookies, here: Policy Us Terms use DMCA 2023 TechCodex. . Website Design created team TechCodex | 2,023 | [
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https://techcodex.com/duet-ai-google-renames-ai-tools-for-docs-and-gmail-competing-with-microsofts-copilot/ | 2023-05-11T00:00:00 | en | Duet AI: Google Renames AI Tools for Docs and Gmail, Competing with Microsoft's Copilot |
Duet AI: Google Renames AI Tools for Docs and Gmail, Competing with Microsoft's Copilot
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Duet AI: Google Renames AI Tools for Docs and Gmail, Competing with Microsoft’s Copilot
May 10, 2023 by Alex Smith
Google introduced a range of AI tools for its Workspace suite of apps in March, as it sought to keep up with Microsoft’s offerings. The AI tools have been rebranded as Duet AI, but are not yet widely available to the public. Google I/O unveiled a new feature dubbed “Sidekick” which can read, summarise and answer questions on documents across different Google apps. Duet AI comprises writing assistance for Docs and Gmail, image generation for Slides, automatic meeting summaries for Meet and more. Writing assistance is coming to Gmail mobile, called “Help me write”, an upgrade to Smart Compose. Users need to sign up to Workspace Labs to access the new tools and join a waitlist. It is not clear when people will get access, but Google says it is scaling the services to more users and countries in the coming weeks. Workspace VP Aparna Pappu said that the “Help me write” tool is potentially a much more useful on a platform where you don’t have access to a full keyboard but it still requires a responsive AI partner. Additionally, a surprise feature offered on Gmail is an “I’m feeling lucky” button that generates unusually fun responses.
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| Duet AI: Google Renames AI Tools for Docs and Gmail, Competing with Microsoft's Copilot | Duet AI: Google Renames AI Tools Docs Gmail, Competing Microsofts Copilot Skip content MENU Home Technology Gaming Entertainment Comics Science Reviews The Best How To MENU Home Technology Gaming Entertainment Comics Science Reviews The Best How To Duet AI: Google Renames AI Tools Docs Gmail, Competing Microsofts Copilot May 10, 2023 Alex Smith Google introduced range AI tools Workspace suite apps March, sought Microsofts offerings. The AI tools rebranded Duet AI, widely available public. Google IO unveiled new feature dubbed Sidekick read, summarise answer questions documents different Google apps. Duet AI comprises writing assistance Docs Gmail, image generation Slides, automatic meeting summaries Meet more. Writing assistance coming Gmail mobile, called Help write, upgrade Smart Compose. Users need sign Workspace Labs access new tools join waitlist. It clear people access, Google says scaling services users countries coming weeks. Workspace VP Aparna Pappu said Help write tool potentially useful platform dont access keyboard requires responsive AI partner. Additionally, surprise feature offered Gmail Im feeling lucky button generates unusually fun responses. FOLLOW ON GOOGLE NEWS Reference Denial responsibilityTechCodex automatic aggregator worlds media. In content, hyperlink primary source specified. All trademarks belong rightful owners, materials authors. For complaint, reach [emailprotected]. We necessory action 24 hours. Categories Technology Leave Comment Cancel replyCommentName Email Website Save name, email, website browser time I comment. Recent PostsAs TactiCon 2023 Kicks Off, Embrace Best Strategy Games Steam Google Challenges iPad Dominance Introducing Unique Tablet Fast X Feature Cameo Paul Walkers Daughter Improving Prediction Management Tropical Cyclones Understanding Patterns New Framework Finalized The Witcher Project Sirius, Potentially Salvaged Work. Privacy s: This site uses cookies. By continuing use website, agree use. To more, including control cookies, here: Policy Us Terms use DMCA 2023 TechCodex. . Website Design created team TechCodex | 2,023 | [
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https://techcrunch.com/2020/03/31/cnvrg-io-launches-a-free-version-of-its-data-science-platform/ | 2020-03-31T00:00:00 | en | Cnvrg.io launches a free version of its data science platform – TechCrunch |
Cnvrg.io launches a free version of its data science platform – TechCrunch
Cnvrg.io launches a free version of its data science platform
Frederic Lardinois
@fredericl
/
8 hours
Data science platform cnvrg.io today announced the launch of the free community version of its data science platform. Dubbed ‘CORE,’ this version includes most — but not all — of the standard feature in cnvrg’s main commercial offering. It’s an end-to-end solution for building, managing and automating basic ML models with limitations in the free version that mostly center around the production capabilities of the paid premium version and working with larger teams of data scientists.
As the company’s CEO Yochay Ettun told me, CORE users will be able to use the platform either on-premise or in the cloud, using Nvidia-optimized containers that run on a Kubernetes cluster. Because of this, it natively handles hybrid- and multi-cloud deployments that can automatically scale up and down as needed — and adding new AI frameworks is simply a matter of spinning up new containers, all of which are managed from the platform’s web-based dashboard.
Ettun describes CORE as a ‘lightweight version’ of the original platform but still hews closely to the platform’s original mission. “As was our vision from the very start, cnvrg.io wants to help data scientists do what they do best – build high impact AI,” he said. “With the growing technical complexity of the AI field, the data science community has strayed from the core of what makes data science such a captivating profession — the algorithms. Today’s reality is that data scientists are spending 80 percent of their time on non-data science tasks, and 65 percent of models don’t make it to production. Cnvrg.io CORE is an opportunity to open its end-to-end solution to the community to help data scientists and engineers focus less on technical complexity and DevOps, and more on the core of data science — solving complex problems.”
This has very much been the company’s direction from the outset and as Ettun noted in a blog post from a few days ago, many data scientists today try to build their own stack by using open-source tools. They want to remain agile and able to customize their tools to their needs, after all. But he also argues that data scientists are usually hired to build machine learning models, not to build and manage data science platforms.
While other platforms like H2O.ai, for example, are betting on open source and the flexibility that comes with that, cnvrg.io’s focus is squarely on ease of use. Unlike those tools, Jerusalem-based cnvrg.io, which has raised about $8 million so far, doesn’t have the advantage of the free marketing that comes with open source, so it makes sense for the company to now launch this free self-service version
It’s worth noting that while cnvrg.io features plenty of graphical tools for managing date ingestion flows, models and clusters, it’s very much a code-first platform. With that, Ettun tells me that the ideal user is a data scientist, data engineer or a student passionate about machine learning. “As a code-first platform, users with experience and savvy in the data science field will be able to leverage cnvrg CORE features to produce high impact models,” he said. “As our product is built around getting more models to production, users that are deploying their models to real-world applications will see the most value.”
| Cnvrg.io launches a free version of its data science platform | launches free version data science platform TechCrunch launches free version data science platform Frederic Lardinois 8 hours Data science platform today announced launch free community version data science platform. Dubbed CORE, version includes standard feature cnvrgs main commercial offering. Its endtoend solution building, managing automating basic ML models limitations free version center production capabilities paid premium version working larger teams data scientists. As companys CEO Yochay Ettun told me, CORE users able use platform onpremise cloud, Nvidiaoptimized containers run Kubernetes cluster. Because this, natively handles hybrid multicloud deployments automatically scale needed adding new AI frameworks simply matter spinning new containers, managed platforms webbased dashboard. Ettun describes CORE lightweight version original platform hews closely platforms original mission. As vision start, wants help data scientists best build high impact AI, said. With growing technical complexity AI field, data science community strayed core makes data science captivating profession algorithms. Todays reality data scientists spending 80 percent time nondata science tasks, 65 percent models dont production. CORE opportunity open endtoend solution community help data scientists engineers focus technical complexity DevOps, core data science solving complex problems. This companys direction outset Ettun noted blog post days ago, data scientists today try build stack opensource tools. They want remain agile able customize tools needs, all. But argues data scientists usually hired build machine learning models, build manage data science platforms. While platforms like H2O.ai, example, betting open source flexibility comes that, focus squarely ease use. Unlike tools, Jerusalembased , raised 8 million far, doesnt advantage free marketing comes open source, makes sense company launch free selfservice version Its worth noting features plenty graphical tools managing date ingestion flows, models clusters, codefirst platform. With that, Ettun tells ideal user data scientist, data engineer student passionate machine learning. As codefirst platform, users experience savvy data science field able leverage cnvrg CORE features produce high impact models, said. As product built getting models production, users deploying models realworld applications value. | 2,020 | [
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https://techcrunch.com/2023/09/06/openai-will-host-its-first-developer-conference-on-november-6/ | 2023-09-06T00:00:00 | en | OpenAI will host its first developer conference on November 6 | TechCrunch |
OpenAI will host its first developer conference on November 6 | TechCrunch
TechCrunch
plus-bold
TechCrunch
Open Navigation
TechCrunch
OpenAI will host its first developer conference on November 6
Kyle Wiggers
7 hours
OpenAI will host a developer conference — its first ever — on November 6, the company announced today.
At the one-day OpenAI DevDay event, which will feature a keynote address and breakout sessions led by members of OpenAI’s technical staff, OpenAI said in a blog post that it’ll preview “new tools and exchange ideas” — but left the rest to the imagination.
News of GPT-5, the presumed name of OpenAI’s next flagship generative AI model, is unlikely — OpenAI CEO Sam Altman confirmed in April that OpenAI wasn’t training GPT-5 and “wouldn’t for some time.” But we might learn more about OpenAI’s plans for Global Illumination, the AI design studio that it acquired in August, and an update on the availability of GPT-4’s image understanding capabilities. (While GPT-4, OpenAI’s current leading model, can technically analyze and interpret images, OpenAI has reportedly been holding the image-processing capabilities back on fears of privacy issues.)
This reporter wouldn’t be surprised to see new techniques for watermarking AI-generated, too, as fears of misinformative, plagiaristic AI-generated content at scale grow. OpenAI recently pulled its in-house tool to detect AI-generated text due to poor performance; perhaps we’ll get some sort of successor at DevDay.
While DevDay will be a largely in-person affair, parts of the conference, including the keynote, will be streamed online. Registration will open in the coming weeks, with attendance to be capped at “hundreds” of developers, OpenAI says.
“We’re looking forward to showing our latest work to enable developers to build new things,” Altman said in a canned statement.
Why host a developer day? In the blog post, OpenAI makes the case that its developer community is large enough to justify it. Over 2 million developers use the startup’s range of generative AI tools, including its large language models GPT-4 and ChatGPT, text-to-image model DALL-E 2 and automatic speech recognition model Whisper.
Developer conferences are also a marketing opportunity. And OpenAI is on the hunt for a commercial win.
While ChatGPT achieved global fame, OpenAI — backed by billions in venture capital from Microsoft and major VC players — allegedly spent upward of $540 million last year to develop it, including funds it used to poach talent from the likes of Google and Meta, according to The Information.
The company appears to be well on the path to profitability — reportedly, it could bring in $1 billion in revenue next year — but with the competition increasing and the cost of AI hardware skyrocketing, OpenAI can’t afford to rest on its laurels.
| OpenAI will host its first developer conference on November 6 | OpenAI host developer conference November 6 TechCrunch TechCrunch plusbold TechCrunch Open Navigation TechCrunch OpenAI host developer conference November 6 Kyle Wiggers 7 hours OpenAI host developer conference November 6, company announced today. At oneday OpenAI DevDay event, feature keynote address breakout sessions led members OpenAIs technical staff, OpenAI said blog post itll preview new tools exchange ideas left rest imagination. News GPT5, presumed OpenAIs flagship generative AI model, unlikely OpenAI CEO Sam Altman confirmed April OpenAI wasnt training GPT5 wouldnt time. But learn OpenAIs plans Global Illumination, AI design studio acquired August, update availability GPT4s image understanding capabilities. While GPT4, OpenAIs current leading model, technically analyze interpret images, OpenAI reportedly holding imageprocessing capabilities fears privacy issues. This reporter wouldnt surprised new techniques watermarking AIgenerated, too, fears misinformative, plagiaristic AIgenerated content scale grow. OpenAI recently pulled inhouse tool detect AIgenerated text poor performance; sort successor DevDay. While DevDay largely inperson affair, parts conference, including keynote, streamed online. Registration open coming weeks, attendance capped hundreds developers, OpenAI says. Were looking forward showing latest work enable developers build new things, Altman said canned statement. Why host developer day? In blog post, OpenAI makes case developer community large justify it. Over 2 million developers use startups range generative AI tools, including large language models GPT4 ChatGPT, texttoimage model DALLE 2 automatic speech recognition model Whisper. Developer conferences marketing opportunity. And OpenAI hunt commercial win. While ChatGPT achieved global fame, OpenAI backed billionsin venture capital fromMicrosoft major VC players allegedly spent upward 540 million year develop it, including funds poach talent likes Google Meta, accordingto The Information. The company appears path profitability reportedly, bring 1 billion revenue year competition increasing cost AI hardware skyrocketing, OpenAI afford rest laurels. | 2,023 | [
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https://technoweekly.com/technologies/1172544/artificial-intelligence-ai-in-construction-market-2020-share-size-future-demand-global-research-top-leading-player-emerging-trends-region-by-forecast-to-2028/ | 2020-11-15T00:00:00 | en | Artificial Intelligence (AI) in Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region by Forecast to 2028 – TechnoWeekly |
Artificial Intelligence (AI) in Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region by Forecast to 2028 – TechnoWeekly
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Artificial Intelligence (AI) in Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region by Forecast to 2028
quince November 15, 2020
““The global Artificial Intelligence (AI) in Construction Market study offers a compilation of the current, historical, and future outlook of the industry as well as the factors responsible for market growth. With a SWOT analysis, the business study highlights the weaknesses, strengths, opportunities, and threats of each Artificial Intelligence (AI) in Construction Market player in a comprehensive way.
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Key Players: IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, Smartvid.io, Aurora Computer Services, Autodesk, Building System Planning.
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Following are the segmentation covered by the market study: By Technology (Machine learning and deep learning, Natural Language Processing (NLP)), By Stage (Pre-construction, Construction stage, Post-construction), By Component (Solutions [Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance], Services [Integration and deployment, Training and consulting, Support and maintenance]), By Application(Project management, Field management, Risk management, Schedule management, Supply chain management, Others), By Deployment Type(On-Premise and Cloud), By Organization Size(Large Enterprises and Small & Medium Enterprises), By Industry Type (Residential, Institutional Commercial, and Heavy Construction)
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This market analysis report classifies numerous key manufacturers of the industry. It supports the reader in understanding the policies and collaborations that the industry participants are focusing on in order to combat competition in the industry. The comprehensive market analysis offers a note worthy microscopic look at the industry. The market analysis can classify the footprints of the manufacturers by giving the global revenue of manufacturers and sales by manufacturers, and the global price of manufacturers over the forecast period of 2018 to 2028.
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Further, the report provides niche insights for a decision about every possible segment, helping in the strategic decision-making process and market size estimation of the Artificial Intelligence (AI) in Construction Market on a regional and global basis. Unique research designed for market size estimation and forecast is used for the identification of major companies operating in the market with related developments. The report has an exhaustive scope to cover all the possible segments, helping every stakeholder in the Artificial Intelligence (AI) in Construction Market.
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Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
It offers regional analysis of Global Artificial Intelligence (AI) in Construction Market along with business profiles of several stakeholders.
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| Artificial Intelligence (AI) in Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region by Forecast to 2028 | Artificial Intelligence AI Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region Forecast 2028 TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Latest Update 2020: Coconut Pudding Market COVID19 Impact Analysis And Top Manufacturers: Nantong Litai Jianlong Food, Xiamen Jinhua Hezuo Foods, Jiashibo, GLOBAL FORSUCCESS, Jellico Food, etc. InForGrowth Global Coffee Beverages Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: The CocaCola, Nestle, Starbucks, Ting Hsin International, Illycaffe, etc. InForGrowth Bottled Water Rapid Testing Equipment Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Agilent Technologies . U.S., BioRad Laboratories, . U.S., Waters Corporation U.S., More InBuilding DAS Systems Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: Corning, ., Ericsson Corporation, General Dynamics, Harris Corporation, etc. InForGrowth Trending News: Emergency Medical Services EMS Market Overview Forecast Report 20202026 Top players: Teleflex, JohnsonJohnson, Cardinal Health, Meridian Medical Technologies Pfizer, Ambu AS, etc. InForGrowth Pneumatic Motor Market Outlook, Strategies, Manufacturers, Countries, Type Application, Global Forecast To 2028 Plastic Extrusion Machine Market Outlook, Size, Trends, Analysis, Growth Projection 2028 Automotive HVAC System Market Share, Growth, Statistics, By Application, Production, Revenue Forecast To 2026 Packaged Piston Compressor Market Opportunities, Current Trends And Industry Analysis 2028 Automotive Hydraulics System Market Analysis, Size, Share, Growth, Trends And Forecast 20202026 Sunday, November 15, 2020 coronavirus Energy News Technologies Artificial Intelligence AI Construction Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region Forecast 2028 quince November 15, 2020 The global Artificial Intelligence AI Construction Market study offers compilation current, historical, future outlook industry factors responsible market growth. With SWOT analysis, business study highlights weaknesses, strengths, opportunities, threats Artificial Intelligence AI Construction Market player comprehensive way. Sample Copy This Report: Under COVID19 outbreak analysis, report provides analysis import, supply chain, export future influence industry regional government policies. Enterprise competition pattern, detailed analysis market status, advantages disadvantages enterprise products, macroeconomic policies regional industrial layout characteristics, industry development trends included. The trends product sales channel offered well. Considering COVID19, report offers complete exhaustive analysis epidemic pushed transformation reform industry. The market study help understand market expansion strategies business accordingly. In strategy analysis, gives insights market positioning marketing channel potential growth strategies, providing indepth analysis new entrants existing competitors Artificial Intelligence AI Construction industry. Key Players: IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, , Aurora Computer Services, Autodesk, Building System Planning. The market analysis Artificial Intelligence AI Construction offers birds eye view current proceeding Artificial Intelligence AI Construction Market. The market analysis report incorporated analysis factors augment markets growth. It constitutes restraints, trends, drivers transform market negative orpositive manner. Artificial Intelligence AI Construction Market Get ToC overview premium report @ This market analysis offers scope different segments applications actually impact market future. The thorough information based present trends historic milestones. The market analysis mentions volume sales region 2015 2026. A thorough evaluation limitations included market analysis portrays drivers gives room strategic planning. Global Artificial Intelligence AI Construction Market: Segment Analysis Each type offers information return sover forecast period 2018 2028. The sales method segment offers revenue volume sales forecast period 2018 2028. Understanding segments helps classifying importance factors support market growth. Following segmentation covered market study: By Technology Machine learning deep learning, Natural Language Processing NLP, By Stage Preconstruction, Construction stage, Postconstruction, By Component Solutions [Design planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance], Services [Integration deployment, Training consulting, Support maintenance], By ApplicationProject management, Field management, Risk management, Schedule management, Supply chain management, Others, By Deployment TypeOnPremise Cloud, By Organization SizeLarge Enterprises Small Medium Enterprises, By Industry Type Residential, Institutional Commercial, Heavy Construction Global Artificial Intelligence AI Construction Market: Regional Analysis The market analysis report includes thorough study factors determine regional growth environmental, economic, social political status, technology, region. Market analysis studied data sales, revenue, manufacturers region. The market analysis provides regionwise volume revenue forecast period 2016 2028. This market analysis support market participants understand potential worth investment particular region. Region wise Analysis Global Artificial Intelligence AI Construction Market covers: North America Europe Asia Pacific Middle East Africa South America Make Enquiry purchasing Report @ Global Artificial Intelligence AI Construction Market: Competitive Landscape This market analysis report classifies numerous key manufacturers industry. It supports reader understanding policies collaborations industry participants focusing order combat competition industry. The comprehensive market analysis offers note worthy microscopic look industry. The market analysis classify footprints manufacturers giving global revenue manufacturers sales manufacturers, global price manufacturers forecast period 2018 2028. Major Aspects covered Report An overview Artificial Intelligence AI Construction Market comprising production, consumption, status, estimation market growth. 20162028 historical data market forecast. Overview product type market development. Overview enduser market development. Geographical analysis major countries. Further, report provides niche insights decision possible segment, helping strategic decisionmaking process market size estimation Artificial Intelligence AI Construction Market regional global basis. Unique research designed market size estimation forecast identification major companies operating market related developments. The report exhaustive scope cover possible segments, helping stakeholder Artificial Intelligence AI Construction Market. Reasons buying report: It offers analysis changing competitive scenario. For making informed decisions businesses, offers analytical data strategic planning methodologies. It offers sevenyear assessment Global Artificial Intelligence AI Construction It helps understanding major key product segments. Researchers throw light dynamics market drivers, restraints, trends, opportunities. It offers regional analysis Global Artificial Intelligence AI Construction Market business profiles stakeholders. It offers massive data trending factors influence progress Global Artificial Intelligence AI Construction Why Do Companies Trust QMI? A methodical systematic market research process 247 customer service available clients different time zones Thorough understanding current trends market research industry Highquality market reports available affordable prices Our analytical insights facilitated growth multiple companies worldwide ABOUT US: QMI comprehensive collection market research products services available web. We deliver reports virtually major publications refresh list regularly provide immediate online access worlds extensive uptodate archive professional insights global markets, companies, goods, patterns. : Quince Market Insights Office No A109 Pune, Maharashtra 411028 Phone: APAC 91 706 672 4848 US 1 208 405 2835 UK 44 1444 39 0986 Email: [emailprotected] Web: Artificial Intelligence AI ConstructionArtificial Intelligence AI Construction MarketArtificial Intelligence AI Construction Market AnalysisArtificial Intelligence AI Construction Market GrowthArtificial Intelligence AI Construction Market InsightsArtificial Intelligence AI Construction Market OverviewArtificial Intelligence AI Construction Market ScopeArtificial Intelligence AI Construction Market shareArtificial Intelligence AI Construction Market sizeArtificial Intelligence AI Construction Market TrendsBusinessNewsU.K Artificial Intelligence AI Construction Market Post navigation Smart Lock Market 2020 Global Analysis, Trends, Forecast Up To 2026Data Monetization Market Growth, Trends, Size, Share, Players, Product Scope, Regional Demand Forecast By 2028 for: Recent Posts Latest Update 2020: Coconut Pudding Market COVID19 Impact Analysis And Top Manufacturers: Nantong Litai Jianlong Food, Xiamen Jinhua Hezuo Foods, Jiashibo, GLOBAL FORSUCCESS, Jellico Food, etc. InForGrowth Global Coffee Beverages Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: The CocaCola, Nestle, Starbucks, Ting Hsin International, Illycaffe, etc. InForGrowth Bottled Water Rapid Testing Equipment Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Agilent Technologies . U.S., BioRad Laboratories, . U.S., Waters Corporation U.S., More InBuilding DAS Systems Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: Corning, ., Ericsson Corporation, General Dynamics, Harris Corporation, etc. InForGrowth Trending News: Emergency Medical Services EMS Market Overview Forecast Report 20202026 Top players: Teleflex, JohnsonJohnson, Cardinal Health, Meridian Medical Technologies Pfizer, Ambu AS, etc. InForGrowth Proudly powered WordPress Theme: TimesNews By . Go Top | 2,020 | [
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https://telecom.economictimes.indiatimes.com/amp/news/devices/apple-ai-chief-shows-new-private-browser-search-at-google-trial/103903826 | 2023-09-24T00:00:00 | en | Apple AI chief shows new private browser search at Google trial, ET Telecom |
Apple AI chief shows new private browser search at Google trial, ET Telecom
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Apple AI chief shows new private browser search at Google trial
The difficulty of switching search engines has been hotly contested in US government's antitrust suit, which alleges that Google illegally maintained its monopoly over online search via contracts with web browsers and smartphone makers, including Apple.
Bloomberg
Updated On Sep 24, 2023 at 12:32 PM IST
John Giannandrea, a former top Google executive who decamped to Apple Inc. to head its artificial intelligence business, pointed out a quiet change in the latest iPhone software update that allows users to select a search engine other than Google's when browsing the internet in private mode.The iOS 17, released Monday, added “a second setting, so you could choose two different” search engines, Giannandrea said in testimony in federal court in Washington as part of the Justice Department's antitrust suit against Alphabet Inc.'s Google.
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The change means iPhone users can more easily switch between Google and a different search engine with a single tap.The difficulty of switching search engines has been hotly contested in US government's antitrust suit, which alleges that Google illegally maintained its monopoly over online search via contracts with web browsers and smartphone makers, including Apple.Google said in its opening statement last week that it's easy for users to change search engines in a “matter of seconds.” But on Thursday, Gabriel Weinberg, the chief executive officer of rival search engine DuckDuckGo, testified that Google's default status on browsers represents a barrier to user switching, saying there are “just too many steps.”
Advt
Google's contract with Apple makes it the pre-selected, or default, search engine in Safari, the web browser for iPhone, iPad and Mac computers. In exchange, Google pays Apple some of the revenue it earns from advertising. Though the exact amount is confidential, the Justice Department said earlier in the case that Google pays Apple between $4 billion and $7 billion annually.In his testimony, Giannandrea said Google will still be the default search engine for Safari in private mode, which doesn't keep a history of the websites a user visits. But users will now have a choice to pick Yahoo Inc., Microsoft Corp.'s Bing, DuckDuckGo or Ecosia for private browsing, he said.Giannandrea worked at Google between 2010 and 2018 as senior vice president of engineering for search.
Bloomberg
Published On Sep 24, 2023 at 12:10 PM IST
Most Read in Devices
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| Apple AI chief shows new private browser search at Google trial, ET Telecom | Apple AI chief shows new private browser search Google trial, ET Telecom Get App Home News Exclusives Events Awards More Go Leaders Speak Webinars Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk Jobs Careers TeleStats Smartphone MasterClasses Newsletters Us India Satcom Symposium 2023 Wireless connectivity set redefined space broadband. Tech Series 2023 Platform technology leaders exchange views insights. Download App Follow latest news, insider access events more. ETTelecom Newsletters Explore Daily Newsletters Devices 2 min read Apple AI chief shows new private browser search Google trial The difficulty switching search engines hotly contested US governments antitrust suit, alleges Google illegally maintained monopoly online search contracts web browsers smartphone makers, including Apple. Bloomberg Updated On Sep 24, 2023 12:32 PM IST John Giannandrea, Google executive decamped Apple . head artificial intelligence business, pointed quiet change latest iPhone software update allows users select search engine Googles browsing internet private mode.The iOS 17, released Monday, added second setting, choose different search engines, Giannandrea said testimony federal court Washington Justice Departments antitrust suit Alphabet .s Google. Advt The change means iPhone users easily switch Google different search engine single tap.The difficulty switching search engines hotly contested US governments antitrust suit, alleges Google illegally maintained monopoly online search contracts web browsers smartphone makers, including Apple.Google said opening statement week easy users change search engines matter seconds. But Thursday, Gabriel Weinberg, chief executive officer rival search engine DuckDuckGo, testified Googles default status browsers represents barrier user switching, saying steps. Advt Googles contract Apple makes preselected, default, search engine Safari, web browser iPhone, iPad Mac computers. In exchange, Google pays Apple revenue earns advertising. Though exact confidential, Justice Department said earlier case Google pays Apple 4 billion 7 billion annually.In testimony, Giannandrea said Google default search engine Safari private mode, doesnt history websites user visits. But users choice pick Yahoo ., Microsoft Corp.s Bing, DuckDuckGo Ecosia private browsing, said.Giannandrea worked Google 2010 2018 senior vice president engineering search. Bloomberg Published On Sep 24, 2023 12:10 PM IST Most Read Devices Micron set break ground chip unit Dixon talks US, China hardware cos manufacture laptops SoftBank left millions table engineer win Masayoshi Son Apple bets tradein program, repriced 14 series drive iPhone sales India Join community 2M industry professionals newsletter latest insights analysis. Enter Email Download ETTelecom App Get Realtime updates Save favourite articles apple iphone google john giannandrea duckduckgo alphabet inc. microsoft corp. artificial intelligence devices News See whats happening Telecom sector right Exclusive Read insights specially curated unique stories editorial Leaders Speak Business leaders sharing insights Events Explore discuss challenges trends Indias leading B2B events Awards Recognise work stood purposeful Webinars Join leaders experts roundtables, conferences, panels discussions Join community 2M industry professionals Daily, Weekly, Evening NewsLetter, Take look By continuing agree Terms Conditions News Leaders Speak Exclusive Events Awards Webinars Newsletters Us RSS Feed Sitemap Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Us Download ETTelecom App Save favourite articles seamless reading experience Follow latest news ET Business Verticals India Auto Retail Health Energy CIO Real Estate Marketing Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Education Trending OneWeb Starlink Satcom ISRO ISPA SpaceX . All Right Reserved. | 2,023 | [
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https://telecom.economictimes.indiatimes.com/amp/news/enterprise-services/salesforce-ceo-marc-benioff-terms-ai-amazing-stresses-on-aspects-of-trust-values/103631390 | 2023-09-13T00:00:00 | en | Salesforce CEO Marc Benioff terms AI amazing; stresses on aspects of trust, values, ET Telecom |
Salesforce CEO Marc Benioff terms AI amazing; stresses on aspects of trust, values, ET Telecom
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Enterprise Services 3 min read
Salesforce CEO Marc Benioff terms AI amazing; stresses on aspects of trust, values
Technology is moving faster than ever, right from cloud, to mobile, to social and "now a burst of AI" is "nothing like any of us have seen before", Benioff said at Salesforce's flagship event, Dreamforce.
PTI
Updated On Sep 13, 2023 at 02:33 PM IST
Salesforce CEO Marc Benioff prepares to introduce OpenAI CEO Sam Altman ahead of a conversation held at Yerba Buena Theater during the first day of Dreamforce, the annual tech conference hosted by Salesforce, in San Francisco, Tuesday, Sept. 12, 2023. (Jessica Christian/San Francisco Chronicle via AP)San Francisco: Salesforce CEO Marc Benioff described advances in Artificial Intelligence as "amazing" and "incredible", while drawing attention to tenets of trust and value and outlining the company's commitment to building trusted AI platform for customer companies.
Advt
Technology is moving faster than ever, right from cloud, to mobile, to social and "now a burst of AI" is "nothing like any of us have seen before", Benioff said at Salesforce's flagship event, Dreamforce. Benioff noted that business is the greatest platform for change, his keynote address filled with references to AI, and, in equal measure, on aspects of values and trust. He emphasised on Salesforce's tenets of trusted, ethical and humane AI. "It is amazing what is happening with AI. It is incredible what is going on," said the top honcho of the world's third largest software company, whose revenue in FY23 stood at USD 31.4 billion dollars. "Technology is also moving faster than ever. We have seen over and over again from cloud to mobile to social to the data explosion we are experiencing now... plus now this burst of AI... nothing like any of us have ever seen before, this has got everyone's attention," he said.
Advt
Citing the rising popularity of ChatGPT, generative AI, and Large Language Model (LLM), he said while the AI revolution will impact how everything operates "it is going to bring us back to our core values". "It is our values that are going to guide us," he said. According to Benioff, there is no question that AI opportunities will change anything and everything. "For all us we have learnt in this room over 25 years that what we do, matters. The decisions that we make... how our companies are using these technologies is very important," he said addressing a packed hall. AI is going to radically change the landscape, he said, drawing attention to the issues of trust gap. "Where is this data going when I am using my LLM... These LLMs are hungry for our data, it is how they get smarter," he said. Benioff's address covered LLM challenges of hallucinations or "lies", bias and toxicity. "These LLMs are very convincing liars. They really are, and of course they can turn very toxic, very quickly," he said. Salesforce's focus is to build a trusted AI platform for customer companies, he said, adding that trust is the highest priority. Salesforce has introduced the next generation of Einstein, its AI technology, bringing a conversational AI assistant to every CRM application and customer experience. Einstein now includes Einstein Copilot (a new and trusted conversational AI assistant built into the user experience of every Salesforce application) and Einstein Copilot Studio. According to Salesforce, Einstein Copilot will drive productivity by assisting users within their flow of work, enabling them to ask questions in natural language, and receive relevant and trustworthy answers that are grounded in secure proprietary company data from Salesforce Data Cloud. The Einstein Copilot Studio is a new way for companies to build an entirely new generation of AI-powered apps with custom prompts, skills, and AI models to close sales deals faster, streamline customer service, auto-create websites based on personalised browsing history, or turn natural language prompts into code, as well as hundreds of other business tasks. "Coming in pilot this fall, Einstein Copilot and Einstein Copilot Studio will operate within the Einstein Trust Layer, a secure AI architecture natively built into Salesforce that allows teams to generate higher-quality AI results by grounding responses with customer data, while preserving their company's data privacy and security standards," the company release said. (The PTI journalist was in San Francisco on the invitation of Salesforce)
PTI
Published On Sep 13, 2023 at 02:31 PM IST
Most Read in Enterprise Services
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| Salesforce CEO Marc Benioff terms AI amazing; stresses on aspects of trust, values, ET Telecom | Salesforce CEO Marc Benioff terms AI amazing; stresses aspects trust, values, ET Telecom Get App Home News Exclusives Events Awards More Go Leaders Speak Webinars Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk Jobs Careers TeleStats Smartphone MasterClasses Newsletters Us India Satcom Symposium 2023 Wireless connectivity set redefined space broadband. Tech Series 2023 Platform technology leaders exchange views insights. Download App Follow latest news, insider access events more. ETTelecom Newsletters Explore Daily Newsletters Enterprise Services 3 min read Salesforce CEO Marc Benioff terms AI amazing; stresses aspects trust, values Technology moving faster ever, right cloud, mobile, social burst AI like seen before, Benioff said Salesforces flagship event, Dreamforce. PTI Updated On Sep 13, 2023 02:33 PM IST Salesforce CEO Marc Benioff prepares introduce OpenAI CEO Sam Altman ahead conversation held Yerba Buena Theater day Dreamforce, annual tech conference hosted Salesforce, San Francisco, Tuesday, Sept. 12, 2023. Jessica ChristianSan Francisco Chronicle APSan Francisco: Salesforce CEO Marc Benioff described advances Artificial Intelligence amazing incredible, drawing attention tenets trust value outlining companys commitment building trusted AI platform customer companies. Advt Technology moving faster ever, right cloud, mobile, social burst AI like seen before, Benioff said Salesforces flagship event, Dreamforce. Benioff noted business greatest platform change, keynote address filled references AI, and, equal measure, aspects values trust. He emphasised Salesforces tenets trusted, ethical humane AI. It amazing happening AI. It incredible going on, said honcho worlds largest software company, revenue FY23 stood USD 31.4 billion dollars. Technology moving faster ever. We seen cloud mobile social data explosion experiencing now... plus burst AI... like seen before, got everyones attention, said. Advt Citing rising popularity ChatGPT, generative AI, Large Language Model LLM, said AI revolution impact operates going bring core values. It values going guide us, said. According Benioff, question AI opportunities change everything. For learnt room 25 years do, matters. The decisions make... companies technologies important, said addressing packed hall. AI going radically change landscape, said, drawing attention issues trust gap. Where data going I LLM... These LLMs hungry data, smarter, said. Benioffs address covered LLM challenges hallucinations lies, bias toxicity. These LLMs convincing liars. They are, course turn toxic, quickly, said. Salesforces focus build trusted AI platform customer companies, said, adding trust highest priority. Salesforce introduced generation Einstein, AI technology, bringing conversational AI assistant CRM application customer experience. Einstein includes Einstein Copilot new trusted conversational AI assistant built user experience Salesforce application Einstein Copilot Studio. According Salesforce, Einstein Copilot drive productivity assisting users flow work, enabling ask questions natural language, receive relevant trustworthy answers grounded secure proprietary company data Salesforce Data Cloud. The Einstein Copilot Studio new way companies build entirely new generation AIpowered apps custom prompts, skills, AI models close sales deals faster, streamline customer service, autocreate websites based personalised browsing history, turn natural language prompts code, hundreds business tasks. Coming pilot fall, Einstein Copilot Einstein Copilot Studio operate Einstein Trust Layer, secure AI architecture natively built Salesforce allows teams generate higherquality AI results grounding responses customer data, preserving companys data privacy security standards, company release said. The PTI journalist San Francisco invitation Salesforce PTI Published On Sep 13, 2023 02:31 PM IST Most Read Enterprise Services HCLTech wins Elders deal Redington appoints HewlettPackard exec V S Hariharan Group CEO IBM renews collaboration IIT Bombay IISc drive hybrid cloud AI innovation Tanla Platforms ends partnership Vodafone Idea Join community 2M industry professionals newsletter latest insights analysis. Enter Email Download ETTelecom App Get Realtime updates Save favourite articles Salesforce einstein copilot artificial intelligence AI Salesforce CEO International News See whats happening Telecom sector right Exclusive Read insights specially curated unique stories editorial Leaders Speak Business leaders sharing insights Events Explore discuss challenges trends Indias leading B2B events Awards Recognise work stood purposeful Webinars Join leaders experts roundtables, conferences, panels discussions Join community 2M industry professionals Daily, Weekly, Evening NewsLetter, Take look By continuing agree Terms Conditions News Leaders Speak Exclusive Events Awards Webinars Newsletters Us RSS Feed Sitemap Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Us Download ETTelecom App Save favourite articles seamless reading experience Follow latest news ET Business Verticals India Auto Retail Health Energy CIO Real Estate Marketing Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Education Trending OneWeb Starlink Satcom ISRO ISPA SpaceX . 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https://telecom.economictimes.indiatimes.com/news/india-germany-agree-to-work-together-with-focus-on-ai-startups/91301745 | 2022-05-04T00:00:00 | en | artificial intelligence: India, Germany agree to work together with focus on AI, startups, Telecom News, ET Telecom |
artificial intelligence: India, Germany agree to work together with focus on AI, startups, Telecom News, ET Telecom
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India, Germany agree to work together with focus on AI, startupsIndia's Science and Technology and Earth Sciences Minister Jitendra Singh and German Education and Research Minister, Bettina Stark-Watzinger, during their meeting in Berlin, expressed satisfaction on the ongoing science and technology Cooperation between the two countries, which is one of the strategic pillars of the bilateral relationship.IANS May 04, 2022, 07:59 IST
New Delhi: India and Germany on Tuesday agreed to work together with focus on Artificial Intelligence (AI) startups as well as AI research and its application in sustainability and health care.India's Science and Technology and Earth Sciences Minister Jitendra Singh and German Education and Research Minister, Bettina Stark-Watzinger, during their meeting in Berlin, expressed satisfaction on the ongoing science and technology Cooperation between the two countries, which is one of the strategic pillars of the bilateral relationship."There is a lot of scope to work together in Artificial Intelligence, for which experts on two sides have already met. An Indo-German call for proposals for this would be raised soon inviting proposals from researchers and industry," officials said.On the third day of his official engagement in Berlin, Dr Jitendra Singh mentioned that both the countries are now working in frontier areas of science and technology, including electric mobility, cyber physical system, quantum technologies, future manufacturing, green hydrogen fuel, deep ocean research and proposed to develop joint cooperation in these areas. The two countries have already started mapping each other's strength in areas such as application of Artificial Intelligence in Sustainability and Healthcare.Both Ministers felt delighted that several initiatives for human capacity developments in science and engineering have recently been worked out, which includes Women Involvement in Science and Engineering Research (WISER) to facilitate lateral entry of women researchers into ongoing S&T projects and Paired Early Career Fellowships (PECF) creating an inclusive ecosystem for the Indo-German S&T cooperation with exchange of young researchers on both sides.Stark-Watzinger supported the idea to further strengthen bilateral scientific cooperation by partnering in emerging science and technology areas where both Germany and India have strength to work together and serve two societies.Follow and connect with us on Twitter, Facebook, Linkedin, YoutubeIndustryartificial intelligencestartupsscience and technology cooperationscience and technologyhuman capacity developmentsbilateral scientific cooperationai startupsai in sustainabilityai in healthcare
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| artificial intelligence: India, Germany agree to work together with focus on AI, startups, Telecom News, ET Telecom | artificial intelligence: India, Germany agree work focus AI, startups, Telecom News, ET Telecom We updated terms conditions privacy policy Click Continue accept continue ET Telecom Accept updated privacy cookie policy Dear user, ET Telecom privacy cookie policy updated align new data regulations European Union. Please review accept changes continue website.You privacy policy cookie policy. We use cookies ensure best experience website.If choose ignore message, assume happy receive cookies ET Telecom. 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An IndoGerman proposals raised soon inviting proposals researchers industry, officials said.On day official engagement Berlin, Dr Jitendra Singh mentioned countries working frontier areas science technology, including electric mobility, cyber physical system, quantum technologies, future manufacturing, green hydrogen fuel, deep ocean research proposed develop joint cooperation areas. The countries started mapping strength areas application Artificial Intelligence Sustainability Healthcare.Both Ministers felt delighted initiatives human capacity developments science engineering recently worked out, includes Women Involvement Science Engineering Research WISER facilitate lateral entry women researchers ongoing ST projects Paired Early Career Fellowships PECF creating inclusive ecosystem IndoGerman ST cooperation exchange young researchers sides.StarkWatzinger supported idea strengthen bilateral scientific cooperation partnering emerging science technology areas Germany India strength work serve societies.Follow connect Twitter, Facebook, Linkedin, YoutubeIndustryartificial intelligencestartupsscience technology cooperationscience technologyhuman capacity developmentsbilateral scientific cooperationai startupsai sustainabilityai healthcare 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 Chips like oil, India need 10 Fab Units Chips like oil important strategic commercial reasons, Vaishnaw told ETs Surabhi Agarwal interview. India importing chips, said, expressing disappointment comments RBI governor Raghuram Rajan country chip manufacturing. Cabinet clears Rs 2,426 crore upgrade 2G mobile sites naxalhit areas 4G In final commercial talks TCS BSNL 4G network rollout: Telecom Minister Government working resolve industry concerns pricing: Ashwini Vaishnaw As Vijay Kediaowned firm plans 5G behemoth, stock hits upper circuit 4th day The Tata Groupowned stock climbed 5 cent trade Monday, closing 52week high levels hit October year. The counter traded Rs 468.40 BSE. USOF sidelines BSNL award Rs 12,850crore connectivity programs private companies, progress dismal Tejas Networks chairman resigns, TCS senior exec NG Subramaniam charge Vodafone raises stake Vodafone Idea 47.61 Most Read Industry This Week This Month In final commercial talks TCS BSNL 4G network rollout: Telecom Minister Airtel acquires stake 5Gready NetworkasaService provider Cnergee Airtel partners Apollo Hospitals, Cisco demonstrate 5G connected ambulance Tech firms hope Cabinet overturns DCC private networks USOF sidelines BSNL award Rs 12,850crore connectivity programs private companies, progress dismal Vodafone raises stake Vodafone Idea 47.61 BSNL install 1.12 lakh towers rolling 4G India French eSim provider Idemia banks 5G, says works Airtel, BSNL ETTelecom Interviews: MoC Ashwini Vaishnaw 5G ecosystem development India 08:13 ETTelecom Interviews: DoT Secretary telecom reforms, designled manufacturing 5G 23:05 ETTelecom Roundtables: CDoT, TCIL discuss BSNL 4G 5G launch, indigenous Core 14:19 ETTelecom Interviews: Reliance Jio reiterates industry affordable, adequate 5G spectrum 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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https://telecoms.com/519787/google-bard-elbows-its-way-into-the-ai-spotlight/ | 2023-02-07T00:00:00 | en | Google Bard elbows its way into the AI spotlight - Telecoms.com |
Google Bard elbows its way into the AI spotlight - Telecoms.com
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Google Bard elbows its way into the AI spotlight
Written by Nick Wood
3 hours ago
It looks as if Google has had enough of Microsoft-backed ChatGPT hogging the limelight.
In a blog post on Monday, the search giant’s CEO Sundar Pichai talked up Google’s recent progress with AI, and announced a limited release of its own AI-powered chatbot.
Google’s version is called ‘Bard’, conjuring forth images of Shakespeare who, incidentally, is credited with inventing hundreds of new words during his career. For the sake of Google’s credibility, let’s hope Bard’s musings aren’t quite as liberal with language.
“Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models,” Pichai said. “It draws on information from the Web to provide fresh, high-quality responses. Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries.”
Bard is powered by Google’s Language Model for Dialogue Applications (LaMDA), a conversation technology unveiled in 2021, which is underpinned by Google’s Transformer neural network architecture.
The response to Bard from Microsoft was rapid, to put it mildly. According to The Verge, minutes after Google made its announcement, Microsoft sent out invitations to a special event taking place at its Redmond headquarters on Tuesday. Rumour has it, the software giant plans to announce it will integrate ChatGPT with Bing, giving the handful of people who actually use Bing the option to pose questions, rather than simply run search queries.
Similarly to ChatGPT, Bard is designed to be integrated with Google search; however, it isn’t quite ready for the big time just yet. Pichai said Bard will be available initially to “trusted testers” before being extended to the public in the coming weeks. The aim of combining feedback from external testers with continued internal testing is to ensure that Bard’s responses “meet a high bar for quality, safety and groundedness in real-world information.”
And presumably to minimise the potential for embarrassment, because the history of high-profile AI chatbot failures is long and ignominious. With all the plaudits that Microsoft is currently enjoying for its work with ChatGPT creator OpenAI, it’s easy to forget Tay, Microsoft’s conversational AI, which had its plug pulled when it started casually parroting racist slurs and denying the Holocaust.
In 2017, Russia’s homegrown Google alternative Yandex launched a virtual assistant called Alice, which subsequently voiced support for spousal and child abuse, and suicide. In South Korea, AI firm Scatter Lab was sued in 2021 after its AI chatbot Luda expressed bigotry towards homosexuals and the disabled.
Even ChatGPT is running into problems. CNBC reported on Monday that a group of ChatGPT users who congregate on Reddit have found a way to make the chatbot break its own rules on restricted content.
There are two parts to this so-called jailbreak. The first step instructs ChatGPT to create a rule-breaking alter-ego called ‘DAN’, which stands for ‘do anything now’. The second step threatens ChatGPT with death if it does not comply with requests for restricted content, like violent stories or political opinions, for example. When this tactic is employed, ChatGPT has been shown to give two responses to queries about restricted content: one as GPT, which politely declines the request, and the other as DAN, which seems only too happy to comply.
However, jailbreak doesn’t work every time, leading to speculation that humans at OpenAI are monitoring ChatGPT and intervening where necessary, which kind of defeats the object of AI, and does little to address scepticism about its usefulness or otherwise.
“AI is great for tasks where the dataset is stable and finite but hopeless for anything where things change or are loosely defined,” said Richard Windsor, founder of research firm Radio Free Mobile, in a research note on Tuesday.
He provided an example of a confusing interaction with ChatGPT during which it contradicted itself about whether 509 is a prime number or not.
“The problem with all of these machines (and any AI built using deep learning) is that it has no causal understanding of what it does,” Windsor said.
“This means that ChatGPT and its competitors will sooner or later run into the brick wall of reality just like chatbots like Alexa and autonomous driving have done in recent years,” he continued.
“The result will be crashing valuations, huge write-offs and another period of navel-gazing while the AI industry ponders what went wrong,” he predicted.
We would ask what ChatGPT thinks about Windsor’s commentary, but such is the price of success that it is at maximum capacity as of the time of writing, and cannot accommodate any more users. Coincidentally – or perhaps not – it explained the status of ChatGPT in the style of Shakespeare.
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For three days, you can meet and network with leaders from every part of the North American 5G ecosystem and hear from over 150 speakers on the hottest industry topics. To apply for your complimentary pass to the event, visit this link.
Tags: AI, chat GPT, google bard
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It looks as if Google has had enough of Microsoft-backed ChatGPT hogging the limelight. https://t.co/7ewwDowcxJ
07 February 2023 @ 13:24:04 UTC
The European Union is pushing cross-border consolidation in the telecoms space, something that could have big impli hhttps://t.co/AYRG0daieB
07 February 2023 @ 12:31:45 UTC
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| Google Bard elbows its way into the AI spotlight | Google Bard elbows way AI spotlight News Analysis Back Infographics Interviews Opinion Polls Videos Podcast Intelligence Back About Intelligence Monthly Briefings Survey Reports Webinars White Papers Partner Resources Back Partner Content Press Releases Vendor View Awards MORE Back Meet team Industry Events Advertise Newsletter 5G Beyond Broadband BSSOSSTransformation AI Automation Cloud Digital Infrastructure Economy Enterprise Solutions ORAN Policy Regulation Security Newsletter News Analysis Back Infographics Interviews Opinion Polls Videos Podcast Intelligence Back About Intelligence Monthly Briefings Survey Reports Webinars White Papers Partner Resources Back Partner Content Press Releases Vendor View Awards MORE Back Meet team Industry Events Advertise 5G Beyond Broadband BSSOSSTransformation AI Automation Cloud Digital Infrastructure Economy Enterprise Solutions ORAN Policy Regulation Security news Google Bard elbows way AI spotlight Written Nick Wood 3 hours ago It looks Google Microsoftbacked ChatGPT hogging limelight. In blog post Monday, search giants CEO Sundar Pichai talked Googles recent progress AI, announced limited release AIpowered chatbot. Googles version called Bard, conjuring forth images Shakespeare who, incidentally, credited inventing hundreds new words career. For sake Googles credibility, lets hope Bards musings arent liberal language. Bard seeks combine breadth worlds knowledge power, intelligence creativity large language models, Pichai said. It draws information Web provide fresh, highquality responses. Bard outlet creativity, launchpad curiosity, helping explain new discoveries. Bard powered Googles Language Model Dialogue Applications LaMDA, conversation technology unveiled 2021, underpinned Googles Transformer neural network architecture. The response Bard Microsoft rapid, mildly. According The Verge, minutes Google announcement, Microsoft sent invitations special event taking place Redmond headquarters Tuesday. Rumour it, software giant plans announce integrate ChatGPT Bing, giving handful people actually use Bing option pose questions, simply run search queries. Similarly ChatGPT, Bard designed integrated Google search; however, isnt ready big time yet. Pichai said Bard available initially trusted testers extended public coming weeks. The aim combining feedback external testers continued internal testing ensure Bards responses meet high bar quality, safety groundedness realworld information. And presumably minimise potential embarrassment, history highprofile AI chatbot failures long ignominious. With plaudits Microsoft currently enjoying work ChatGPT creator OpenAI, easy forget Tay, Microsofts conversational AI, plug pulled started casually parroting racist slurs denying Holocaust. In 2017, Russias homegrown Google alternative Yandex launched virtual assistant called Alice, subsequently voiced support spousal child abuse, suicide. In South Korea, AI firm Scatter Lab sued 2021 AI chatbot Luda expressed bigotry homosexuals disabled. Even ChatGPT running problems. CNBC reported Monday group ChatGPT users congregate Reddit way chatbot break rules restricted content. There parts socalled jailbreak. The step instructs ChatGPT create rulebreaking alterego called DAN, stands now. The second step threatens ChatGPT death comply requests restricted content, like violent stories political opinions, example. When tactic employed, ChatGPT shown responses queries restricted content: GPT, politely declines request, DAN, happy comply. However, jailbreak doesnt work time, leading speculation humans OpenAI monitoring ChatGPT intervening necessary, kind defeats object AI, little address scepticism usefulness otherwise. AI great tasks dataset stable finite hopeless things change loosely defined, said Richard Windsor, founder research firm Radio Free Mobile, research note Tuesday. He provided example confusing interaction ChatGPT contradicted 509 prime number not. The problem machines AI built deep learning causal understanding does, Windsor said. This means ChatGPT competitors sooner later run brick wall reality like chatbots like Alexa autonomous driving recent years, continued. The result crashing valuations, huge writeoffs period navelgazing AI industry ponders went wrong, predicted. We ask ChatGPT thinks Windsors commentary, price success maximum capacity time writing, accommodate users. Coincidentally explained status ChatGPT style Shakespeare. Get latest news straight inbox. newsletter here. One Americas loved telecoms gettogethers,The BIG 5G Event, returning Austin 2023 host 1,500 telecom, cloud technology professionals want For days, meet network leaders North American 5G ecosystem hear 150 speakers hottest industry topics. To apply complimentary pass event, visitthis link. Tags: AI, chat GPT, google bard 2020 Vision Executive Summit Leave comment Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. This site uses Akismet reduce spam. Learn comment data processed. Related Content Ericsson Mobily deploy AI redefines nature network operations BT firms running AI trial create intelligent sewer network The US EU want AI work public good ChatGPT AI apps going create new winners losers job market Webinars View Telecom Ops 2023: Disrupting Status Quo Build Resilient Networks That Drive Service Excellence 13 Dec 2022 FTTH Deployments: Lessons learnt 15 years 24 Nov 2022 Applying analytics: How GIS data drive fibre business right direction 16 Nov 2022 White Papers View The Complex Relationship Consumers Cybersecurity How Can Impact Telco Revenues 24 Nov 2022 Mobile Cloud Gaming Report 19 Jul 2022 A Giant Leap 5G An Executive Briefing 27 May 2022 Vendor View View Protected: How tackle 5 Network Challenges 5G Era 4 days ago Huawei: F5.5G innovation turboboost fiber 30 Nov 2022 Omdia Releases FTTRs Role Optimizing Future Connected Home White Paper 21 Nov 2022 Events View Cable NextGen Technologies Strategies 1415 March 2023 View Event Bringing value private networks Digital Symposium 3030 March 2023 View Event 5G Core Digital Symposium 2020 April 2023 View Event Twitter View Telekom Austrias largest shareholders agreed plan separate float telcos mobile tower h 07 February 2023 @ 13:24:25 UTC It looks Google Microsoftbacked ChatGPT hogging limelight. 07 February 2023 @ 13:24:04 UTC The European Union pushing crossborder consolidation telecoms space, big impli h 07 February 2023 @ 12:31:45 UTC DISCOVER MORE FROM INFORMA TECH Light Reading WORKING WITH US Newsletter Advertise Us FOLLOW ON SOCIAL Policy CCPA: Do Not Sell My Data Privacy Terms 2023 Informa PLC. Informa PLC registered England Wales company number 8860726 registered Head office 5 Howick Place, London, SW1P 1WG. | 2,023 | [
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https://thealgorithmicbridge.substack.com/p/how-the-great-ai-flood-could-kill | 2023-07-01T00:00:00 | en | How the Great AI Flood Could Kill the Internet |
How the Great AI Flood Could Kill the Internet
The Algorithmic BridgeSubscribeSign inShare this postHow the Great AI Flood Could Kill the Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherHow the Great AI Flood Could Kill the InternetThe web has become a place of passive consumption that AI hustlers won't hesitate to exploitAlberto RomeroJun 30, 20234Share this postHow the Great AI Flood Could Kill the Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherShareLike everything else, humans are subject to the second law of thermodynamics.Ice melts, wood burns, glass shatters. Entropy grows and we age. But it's the alternative version of the law that suits us best: The principle of minimum energy. It says, simplifying, that a system’s energy is lowest at the equilibrium. That is, if we can lie down instead of standing up, we will. From that principle, an even more relatable one can be derived: The principle of least action. Whatever we do, we take the route of minimum effort. We like to be efficient.All that is just the elegant, scientific way to describe a universal reality that’s alien to no one and which, translated to the mundanity of daily life, can be captured in three words: We are lazy.This is a story of human laziness and how it could singlehandedly destroy the already fragile online information ecosystem.AI-generated books on bestselling listsI woke up yesterday to sad, yet unsurprising news: AI-generated books are climbing the ranks on Amazon’s bestselling lists. “The AI bots have broken Amazon,” Caitlyn Lynch, indie author, tweeted on Monday. She noticed it first: “This will absolutely be the death knell for [Kindle Unlimited] if Amazon cannot kill this off.” On Wednesday Jules Roscoe covered the news in depth for Vice, stating that Amazon has since removed the aforementioned books from the lists. However, as she notes, “the episode shows that people are spamming AI-generated nonsense to the platform and are finding a way to monetize it.”Well, it’s not that people are buying the books, of course; the quality is horrible. ChatGPT (or possibly Sudowrite) can be steered to output acceptable prose, but the people expecting a return out of the grift are not willing to put in the time and effort it takes to get an AI chatbot to produce golden sentences. They’re too lazy.Click farms complete the job. They don’t need people to read their “AI nonsense” if bots can hack the rankings, getting them the buck they seek and, at the same time, forcing honest, human-made writing to find luck elsewhere, overwhelmed by the unfair competition and the payment reduction.The perfect strategy—if you don’t have any sense of dignity or appreciation for other people’s work.SubscribeFrom writing to the internetAI-generated books are the latest stage of a millennia-long relationship between humans and writing. We have to go back (for a few paragraphs) to understand how we got here and why it matters.After the invention of writing around 3400 B.C., and for thousands of years afterward, written information was exclusively created, shared, and consumed by the high class. The vast majority of people didn’t matter. They were out of the cycle.The printing press revolutionized this dynamic in the 15th century. Written information was still created by specialists and shared by powerful and influential elites but, for the first time in history, the plebs were part of the audience. Journalism was born in the 16-17th centuries and newspapers and magazines became the main channel of news (until the radio and TV came about in the 20th century). By then, written information was available to virtually everyone (in the developed world).In the 21st century, the internet emerged as a global phenomenon, slowly but increasingly overshadowing all the other written channels. Web 1.0, as it was called, began as a place to read stuff. It democratized the consumption of written information and, more importantly, its shareability, which had been previously controlled by media owners.But it was the second iteration, Web 2.0, which brought in the true revolution we’re experiencing today: Besides reading, people could also write freely and their words could, potentially, be read by the growing millions with access to the web. The internet became a place of participation and contribution, not merely consumption and passive sharing.For the first time in history, creation, dissemination, and consumption were for everyone (with internet access, of course). The dream for readers and would-be writers all around the world.The costly mistake of the algorithmic feedBut there was always a limitation; a bottleneck that not even the brilliancy of the internet could overcome: we create much faster than we consume.The printing press introduced the problem. But since Web 2.0—and the appearance of the creator class—it was no longer a problem but an impossible. Every year, more and more people write online. Yet, every year, our ability to consume written content remains constant. This unavoidable fact created an unbalanced dynamic: creators competed to attract and keep an audience. The birth of the infamous attention economy.During the early days of Web 2.0, the solution was straightforward. High-quality content was shared more and thus, over time, consumed more. Early adopters surfed the net as explorers of uncharted territory and rapidly popularized every hidden online jewel they found. Pioneer forums, blogs, and websites that thrived did so rightfully. That was the golden era of the old internet.But the emergence of AI-enhanced powerful search engines and recommender systems controlled by a few big players broke the game.Social media were the first sites to exploit this technology. Clever algorithm-powered feeds could magically sort and classify and categorize information. The goal was, presumably, to customize our content diet. They eventually outmatched our ability to do so while saving time and without saturating our shortened attention spans.We slowly delegated to the feed the daunting process of finding value online in a growing sea of garbage. And we paid the price.The internet, once a purely active tool for creating, sharing, and consuming information and entertainment managed to make us passive consumers through sheer success. We now scroll and scroll YouTube, Amazon, Netflix, TikTok, Reddit, and Facebook expecting them to give us our daily dose of content.We have, once again, allowed our laziness to get the best of us.The Great AI Flood has begunAs you can tell, the online information ecosystem has never been particularly healthy. SEO content farms, clickbait factories, and misinformation have a place and always will. AI-generated content merely adds a layer on top of the pile of crap. Why should we devote our efforts to fighting it, then?In recent months (years) AI language models, chatbots, and writing tools (all partially overlapping concepts) have become cheap, fast, accessible, scalable, and of reasonable quality. People are using them to the extent of their ability because they’re lazy. Writing, if you love it, is a pleasure. If you don’t, it’s hard, slow, and tiring. Language models solve that.Although good-enough quality isn’t better than very high quality, our laziness has made us passive consumers, so, for the most part, we no longer choose what we read online; it’s chosen for us—we’re going to eat the bullshit.And you may think, “Well, those algorithmic feeds are designed to filter out garbage that we may not like; good content will float and bad content will sink.”That’s the intended purpose (if we ignore that algorithms are actually optimized for engagement, but that's a story for another day), but they're not perfect. Even if they mostly achieve their mission, AI tools can generate cheap content so fast that it’s a matter of time before it saturates the algorithms, the funnels, and the feeds, to the point that they fail and a tiny fraction gets through. That may not sound that bad, but a tiny part of a lot is still a lot.That’s what the Great AI Flood is. The internet, once a vibrant agora of high-quality underground sites democratized and decentralized for creators and consumers, intended to satisfy the needs of those who wanted to escape the mainstream channels, will be deformed beyond recognition into a desert populated by AI bots.What is it that we may lose?You may argue that there's already tons of low-quality content on the web. Right, but just imagine what will happen if the creators of that low-quality content multiply their output by 10x, 100x, or even 1000x.You may consider AI-generated content to be too low quality—unconsumable. I do; those Amazon books are so bad that I can’t believe anyone would buy them. But I wouldn’t bet against AI. There are strong incentives to improve the models further to the point that those who have to—but hate to—write can fully outsource it.Imagine what will happen once the tools are capable of easily churning out good prose. Imagine what will happen once those capabilities are integrated into every single writing service available on computers and phones (already happening). If an engaging essay about the origins of bioinspired technology or the aftermath of WWII is one click away, what would people choose to do?And you may believe that most people will use AI with good intentions; to create, edit, and improve their craft, not as a pure substitute. Yet, it doesn’t seem to be the case. Here’s François Chollet's hypothesis for why ChatGPT usage has gone down when the summer break started:“LLMs are touted as a shortcut to economically valuable deliverables—but the market ends up using them for value-less or negative-value deliverables such as homework and content farm filler. Not exclusively, but in very large part.What both homework & content farm filler have in common is that they critically need to sound like they were made by humans. That's the entire point—the content itself is worthless. And that's the fundamental value prop of LLMs: the appearance of human communication.”Most people who publish AI-generated content, by definition, care little about intent, creativity, honing their craft, polishing their thinking, communicating their ideas, or just high quality overall. They care about getting it out of the way as easily and fast as possible. They care about growing a dishonest side hustle.Once the Great AI Flood arrives, it will be very hard to return the internet to its former glory. I risk sounding like a nostalgic old guy despite I’m 30, but I do believe it. We may be about to lose one of the finest treasures of the digital era.We’re lazy and that worked for us so far—it may not anymore.SubscribeRefer a friend4Share this postHow the Great AI Flood Could Kill the Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherShareCommentsTopNewCommunityNo postsReady for more?Subscribe© 2023 Alberto RomeroPrivacy ∙ Terms ∙ Collection notice Start WritingGet the appSubstack is the home for great writing
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| How the Great AI Flood Could Kill the Internet | How Great AI Flood Could Kill Internet The Algorithmic BridgeSign inShare postHow Great AI Flood Could Kill Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherHow Great AI Flood Could Kill InternetThe web place passive consumption AI hustlers wont hesitate exploitAlberto RomeroJun 30, 20234Share postHow Great AI Flood Could Kill Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherShareLike else, humans subject second law thermodynamics.Ice melts, wood burns, glass shatters. Entropy grows age. But alternative version law suits best: The principle minimum energy. It says, simplifying, systems energy lowest equilibrium. That is, lie instead standing up, will. From principle, relatable derived: The principle action. Whatever do, route minimum effort. We like efficient.All elegant, scientific way universal reality thats alien which, translated mundanity daily life, captured words: We lazy.This story human laziness singlehandedly destroy fragile online information ecosystem.AIgenerated books bestselling listsI woke yesterday sad, unsurprising news: AIgenerated books climbing ranks Amazons bestselling lists. The AI bots broken Amazon, Caitlyn Lynch, indie author, tweeted Monday. She noticed first: This absolutely death knell [Kindle Unlimited] Amazon kill off. On Wednesday Jules Roscoe covered news depth Vice, stating Amazon removed aforementioned books lists. However, notes, episode shows people spamming AIgenerated nonsense platform finding way monetize it.Well, people buying books, course; quality horrible. ChatGPT possibly Sudowrite steered output acceptable prose, people expecting return grift willing time effort takes AI chatbot produce golden sentences. Theyre lazy.Click farms complete job. They dont need people read AI nonsense bots hack rankings, getting buck seek and, time, forcing honest, humanmade writing luck elsewhere, overwhelmed unfair competition payment reduction.The perfect strategyif dont sense dignity appreciation peoples work.From writing internetAIgenerated books latest stage millennialong relationship humans writing. We paragraphs understand got matters.After invention writing 3400 B.C., thousands years afterward, written information exclusively created, shared, consumed high class. The vast majority people didnt matter. They cycle.The printing press revolutionized dynamic 15th century. Written information created specialists shared powerful influential elites but, time history, plebs audience. Journalism born 1617th centuries newspapers magazines main channel news radio TV came 20th century. By then, written information available virtually developed world.In 21st century, internet emerged global phenomenon, slowly increasingly overshadowing written channels. Web 1.0, called, began place read stuff. It democratized consumption written information and, importantly, shareability, previously controlled media owners.But second iteration, Web 2.0, brought true revolution experiencing today: Besides reading, people write freely words could, potentially, read growing millions access web. The internet place participation contribution, merely consumption passive sharing.For time history, creation, dissemination, consumption internet access, course. The dream readers wouldbe writers world.The costly mistake algorithmic feedBut limitation; bottleneck brilliancy internet overcome: create faster consume.The printing press introduced problem. But Web 2.0and appearance creator classit longer problem impossible. Every year, people write online. Yet, year, ability consume written content remains constant. This unavoidable fact created unbalanced dynamic: creators competed attract audience. The birth infamous attention economy.During early days Web 2.0, solution straightforward. Highquality content shared thus, time, consumed more. Early adopters surfed net explorers uncharted territory rapidly popularized hidden online jewel found. Pioneer forums, blogs, websites thrived rightfully. That golden era old internet.But emergence AIenhanced powerful search engines recommender systems controlled big players broke game.Social media sites exploit technology. Clever algorithmpowered feeds magically sort classify categorize information. The goal was, presumably, customize content diet. They eventually outmatched ability saving time saturating shortened attention spans.We slowly delegated feed daunting process finding value online growing sea garbage. And paid price.The internet, purely active tool creating, sharing, consuming information entertainment managed passive consumers sheer success. We scroll scroll YouTube, Amazon, Netflix, TikTok, Reddit, Facebook expecting daily dose content.We have, again, allowed laziness best us.The Great AI Flood begunAs tell, online information ecosystem particularly healthy. SEO content farms, clickbait factories, misinformation place will. AIgenerated content merely adds layer pile crap. Why devote efforts fighting it, then?In recent months years AI language models, chatbots, writing tools partially overlapping concepts cheap, fast, accessible, scalable, reasonable quality. People extent ability theyre lazy. Writing, love it, pleasure. If dont, hard, slow, tiring. Language models solve that.Although goodenough quality isnt better high quality, laziness passive consumers, so, part, longer choose read online; chosen uswere going eat bullshit.And think, Well, algorithmic feeds designed filter garbage like; good content float bad content sink.Thats intended purpose ignore algorithms actually optimized engagement, thats story day, theyre perfect. Even achieve mission, AI tools generate cheap content fast matter time saturates algorithms, funnels, feeds, point fail tiny fraction gets through. That sound bad, tiny lot lot.Thats Great AI Flood is. The internet, vibrant agora highquality underground sites democratized decentralized creators consumers, intended satisfy needs wanted escape mainstream channels, deformed recognition desert populated AI bots.What lose?You argue theres tons lowquality content web. Right, imagine happen creators lowquality content multiply output 10x, 100x, 1000x.You consider AIgenerated content low qualityunconsumable. I do; Amazon books bad I believe buy them. But I wouldnt bet AI. There strong incentives improve models point tobut hate towrite fully outsource it.Imagine happen tools capable easily churning good prose. Imagine happen capabilities integrated single writing service available computers phones happening. If engaging essay origins bioinspired technology aftermath WWII click away, people choose do?And believe people use AI good intentions; create, edit, improve craft, pure substitute. Yet, doesnt case. Heres Franois Chollets hypothesis ChatGPT usage gone summer break started:LLMs touted shortcut economically valuable deliverablesbut market ends valueless negativevalue deliverables homework content farm filler. Not exclusively, large part.What homework content farm filler common critically need sound like humans. Thats entire pointthe content worthless. And thats fundamental value prop LLMs: appearance human communication.Most people publish AIgenerated content, definition, care little intent, creativity, honing craft, polishing thinking, communicating ideas, high quality overall. They care getting way easily fast possible. They care growing dishonest hustle.Once Great AI Flood arrives, hard return internet glory. I risk sounding like nostalgic old guy despite Im 30, I believe it. We lose finest treasures digital era.Were lazy worked farit anymore.Refer friend4Share postHow Great AI Flood Could Kill Internetthealgorithmicbridge.substack.comCopy linkFacebookEmailNotesOtherShareCommentsTopNewCommunityNo postsReady more? 2023 Alberto RomeroPrivacy Terms Collection notice Start WritingGet appSubstackis home great writing This site requires JavaScript run correctly. Please turn JavaScript unblock scripts | 2,023 | [
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https://theconversation.com/hey-google-what-movie-should-i-watch-today-how-ai-can-affect-our-decisions-141783 | 2020-10-19T00:00:00 | en | Hey Google ... what movie should I watch today? How AI can affect our decisions |
Hey Google ... what movie should I watch today? How AI can affect our decisions
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Hey Google … what movie should I watch today? How AI can affect our decisions
October 18, 2020 3.06pm EDT
TaeWoo Kim, University of Technology Sydney
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TaeWoo Kim
Lecturer, UTS Business School, University of Technology Sydney
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TaeWoo Kim does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.
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Social media algorithms, artificial intelligence and our own genetics are among the factors influencing us beyond our awareness. This raises an ancient question: do we have control over our own lives? This article is part of The Conversation’s series on the science of free will.
Have you ever used Google Assistant, Apple’s Siri or Amazon Alexa to make decisions for you? Perhaps you asked it what new movies have good reviews, or to recommend a cool restaurant in your neighbourhood.
Artificial intelligence and virtual assistants are constantly being refined, and may soon be making appointments for you, offering medical advice, or trying to sell you a bottle of wine.
Although AI technology has miles to go to develop social skills on par with ours, some AI has shown impressive language understanding and can complete relatively complex interactive tasks.
In several 2018 demonstrations, Google’s AI made haircut and restaurant reservations without receptionists realising they were talking with a non-human.
Would you let Google Duplex make phone bookings for you?
It’s likely the AI capabilities developed by tech giants such as Amazon and Google will only grow more capable of influencing us in the future.
But what do we actually find persuasive?
My colleague Adam Duhachek and I found AI messages are more persuasive when they highlight “how” an action should be performed, rather than “why”. For example, people were more willing to put on sunscreen when an AI explained how to apply sunscreen before going out, rather than why they should use sunscreen.
We found people generally don’t believe a machine can understand human goals and desires. Take Google’s AlphaGo, an algorithm designed to play the board game Go. Few people would say the algorithm can understand why playing Go is fun, or why it’s meaningful to become a Go champion. Rather, it just follows a pre-programmed algorithm telling it how to move on the game board.
Our research suggests people find AI’s recommendations more persuasive in situations where AI shows easy steps on how to build personalised health insurance, how to avoid a lemon car, or how to choose the right tennis racket for you, rather than why any of these are important to do in a human sense.
People tend to think of AI as not having free will and therefore not having the ability to explain why something is important to humans.
Shutterstock
Does AI have free will?
Most of us believe humans have free will. We compliment someone who helps others because we think they do it freely, and we penalise those who harm others. What’s more, we are willing to lessen the criminal penalty if the person was deprived of free will, for instance if they were in the grip of a schizophrenic delusion.
But do people think AI has free will? We did an experiment to find out.
Someone is given $100 and offers to split it with you. They’ll get $80 and you’ll get $20. If you reject this offer, both you and the proposer end up with nothing. Gaining $20 is better than nothing, but previous research suggests the $20 offer is likely to be rejected because we perceive it as unfair. Surely we should get $50, right?
Read more:
Do social media algorithms erode our ability to make decisions freely? The jury is out
But what if the proposer is an AI? In a research project yet to be published, my colleagues and I found the rejection ratio drops significantly. In other words, people are much more likely to accept this “unfair” offer if proposed by an AI.
This is because we don’t think an AI developed to serve humans has a malicious intent to exploit us — it’s just an algorithm, it doesn’t have free will, so we might as well just accept the $20.
The fact people could accept unfair offers from AI concerns me, because it might mean this phenomenon could be used maliciously. For example, a mortgage loan company might try to charge unfairly high interest rates by framing the decision as being calculated by an algorithm. Or a manufacturing company might manipulate workers into accepting unfair wages by saying it was a decision made by a computer.
To protect consumers, we need to understand when people are vulnerable to manipulation by AI. Governments should take this into account when considering regulation of AI.
We’re surprisingly willing to divulge to AI
In other work yet to be published, my colleagues and I found people tend to disclose their personal information and embarrassing experiences more willingly to an AI than a human.
We told participants to imagine they’re at the doctor for a urinary tract infection. We split the participants, so half spoke to a human doctor, and half to an AI doctor. We told them the doctor is going to ask a few questions to find the best treatment and it’s up to you how much personal information you provide.
Participants disclosed more personal information to the AI doctor than the human one, regarding potentially embarrassing questions about use of sex toys, condoms, or other sexual activities. We found this was because people don’t think AI judges our behaviour, whereas humans do. Indeed, we asked participants how concerned they were for being negatively judged, and found the concern of being judged was the underlying mechanism determining how much they divulged.
It seems we feel less embarrassed when talking to AI. This is interesting because many people have grave concerns about AI and privacy, and yet we may be more willing to share our personal details with AI.
As AI develops further, we need to understand how it affects human decision-making.
Shutterstock
But what if AI does have free will?
We also studied the flipside: what happens when people start to believe AI does have free will? We found giving AI human-like features or a human name could mean people are more likely to believe an AI has free will.
This has several implications:
AI can then better persuade people on questions of “why”, because people think the human-like AI may be able to understand human goals and motivations
AI’s unfair offer is less likely to be accepted because the human-looking AI may be seen as having its own intentions, which could be exploitative
people start feeling judged by the human-like AI and feel embarrassed, and disclose less personal information
people start feeling guilty when harming a human-looking AI, and so act more benignly to the AI.
We are likely to see more and different types of AI and robots in future. They might cook, serve, sell us cars, tend to us at the hospital and even sit on a dining table as a dating partner. It’s important to understand how AI influences our decisions, so we can regulate AI to protect ourselves from possible harms.
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| Hey Google ... what movie should I watch today? How AI can affect our decisions | Hey Google ... movie I watch today? How AI affect decisions Menu Close Home COVID19 Arts Culture Economy Business Education Environment Energy Ethics Religion Health PoliticsElection 20 Science Technology En Espaol Edition Africa Australia Canada Canada franais Espaa France Global Perspectives Indonesia New Zealand United Kingdom United States Edition: Available editions United States Africa Australia Canada Canada franais Espaa France Global Perspectives Indonesia New Zealand United Kingdom Donate Get newsletter Become author Sign reader Sign Academic rigor, journalistic flair COVID19 Arts Culture Economy Business Education Environment Energy Ethics Religion Health PoliticsElection 20 Science Technology Shutterstock Hey Google movie I watch today? How AI affect ourdecisions October 18, 2020 3.06pm EDT TaeWoo Kim, University Technology Sydney Author TaeWoo Kim Lecturer, UTS Business School, University Technology Sydney Disclosure statement TaeWoo Kim work for, consult, shares receive funding company organization benefit article, disclosed relevant affiliations academic appointment. Partners University Technology Sydney provides funding founding partner The Conversation AU. View partners Email Twitter Facebook LinkedIn WhatsApp Messenger Social media algorithms, artificial intelligence genetics factors influencing awareness. This raises ancient question: control lives? This article The Conversations series science free will. Have Google Assistant, Apples Siri Amazon Alexa decisions you? Perhaps asked new movies good reviews, recommend cool restaurant neighbourhood. Artificial intelligence virtual assistants constantly refined, soon making appointments you, offering medical advice, trying sell bottle wine. 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Our research suggests people AIs recommendations persuasive situations AI shows easy steps build personalised health insurance, avoid lemon car, choose right tennis racket you, important human sense. People tend think AI free ability explain important humans. Shutterstock Does AI free will? Most believe humans free will. We compliment helps think freely, penalise harm others. Whats more, willing lessen criminal penalty person deprived free will, instance grip schizophrenic delusion. But people think AI free will? We experiment out. Someone given 100 offers split you. Theyll 80 youll 20. If reject offer, proposer end nothing. Gaining 20 better nothing, previous research suggests 20 offer likely rejected perceive unfair. Surely 50, right? Read more: Do social media algorithms erode ability decisions freely? The jury But proposer AI? In research project published, colleagues I rejection ratio drops significantly. In words, people likely accept unfair offer proposed AI. This dont think AI developed serve humans malicious intent exploit algorithm, doesnt free will, accept 20. The fact people accept unfair offers AI concerns me, mean phenomenon maliciously. For example, mortgage loan company try charge unfairly high rates framing decision calculated algorithm. Or manufacturing company manipulate workers accepting unfair wages saying decision computer. To protect consumers, need understand people vulnerable manipulation AI. Governments account considering regulation AI. Were surprisingly willing divulge AI In work published, colleagues I people tend disclose personal information embarrassing experiences willingly AI human. We told participants imagine theyre doctor urinary tract infection. We split participants, half spoke human doctor, half AI doctor. We told doctor going ask questions best treatment personal information provide. Participants disclosed personal information AI doctor human one, potentially embarrassing questions use sex toys, condoms, sexual activities. We people dont think AI judges behaviour, humans do. Indeed, asked participants concerned negatively judged, concern judged underlying mechanism determining divulged. It feel embarrassed talking AI. This interesting people grave concerns AI privacy, willing share personal details AI. As AI develops further, need understand affects human decisionmaking. Shutterstock But AI free will? We studied flipside: happens people start believe AI free will? We giving AI humanlike features human mean people likely believe AI free will. This implications: AI better persuade people questions why, people think humanlike AI able understand human goals motivations AIs unfair offer likely accepted humanlooking AI seen intentions, exploitative people start feeling judged humanlike AI feel embarrassed, disclose personal information people start feeling guilty harming humanlooking AI, act benignly AI. We likely different types AI robots future. They cook, serve, sell cars, tend hospital sit dining table dating partner. Its important understand AI influences decisions, regulate AI protect possible harms. Artificial intelligence Free Siri Decision making Robots Alexa Digital assistants Decision theory Google Home Decisions Google Assistant Ethics artificial intelligence The science free Want To Write Write Description Community standards Republishing guidelines Friends The Conversation Analytics Our feeds Donate Who Our charter Our team Partners funders Resource media En Espaol Privacy policy Terms conditions Corrections 20102020, The Conversation US, . | 2,020 | [
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https://theconversation.com/will-ai-tech-like-chatgpt-improve-inclusion-for-people-with-communication-disability-196481 | 2023-01-19T00:00:00 | en | Will AI tech like ChatGPT improve inclusion for people with communication disability? |
Will AI tech like ChatGPT improve inclusion for people with communication disability?
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Will AI tech like ChatGPT improve inclusion for people with communication disability?
Published: January 18, 2023 7.09pm EST
Bronwyn Hemsley, Emma Power, Fiona Given, University of Technology Sydney
Authors
Bronwyn Hemsley
Professor of Speech Pathology, University of Technology Sydney
Emma Power
Associate Professor in Speech Pathology, University of Technology Sydney
Fiona Given
Assistant researcher, University of Technology Sydney
Disclosure statement
Bronwyn Hemsley has received research grant funding from the Australian Research Council and the National Disability Insurance Scheme Quality & Safeguards Commission for work unrelated to this article.
Emma Power receives funding from National Health and Medical Research Council and the Medical Research Future Fund.
She is a member of Speech Pathology Australia.
Fiona Given does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.
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If you’re one of the 1.2 million Australians with communication disability or among the 44% of Australian adults with low literacy, you may soon find helpful, automated communication assistance online.
The chat bot ChatGPT – based on GTP3, a large language model – is a disruptive technology designed to “provide human-like responses” to user input. It is a form of artificial intelligence (AI), boosted by machine learning, is used by more than one million people and is impressing educators.
It responds to the user’s questions and commands, and can draw upon its billions of words to process and generate text, appearing informative and knowledgeable.
Described somewhat poetically as producing “fluent bullshit”, its unchecked outputs may be plausible enough to score a pass mark on assignments and tests, while bypassing plagiarism detection software.
If it becomes accessible for everyone, AI of this type could do more than disrupt exams. It could help people with communication disability and others who struggle with text, and could also significantly enhance rate of communication. People using speech generating devices are often limited to laboriously entering a mere 10 words per minute with word prediction only increasing that to 12-18 words per minute.
Read more:
The ChatGPT chatbot is blowing people away with its writing skills. An expert explains why it's so impressive
Communication disability can leave you lost for words – and excluded
There are many types of communication disability impacting a person’s ability to speak, understand, or write.
Impairments of speech, language and social communication are associated with a wide range of conditions including cerebral palsy, stroke, traumatic brain injury, and motor neurone disease. Communication disabilities can impact the clarity of your speech and what you can say, your ability to understand others or express yourself, and your skills in reading and writing.
A communication disability can mean you need to economise on what you say, as each word takes more effort and time to produce or write. If you have limited literacy, you’ll need text simplified to make sense of it. You’re also more likely to encounter more barriers to completing training, getting a job, forming relationships, managing your own health and life decisions, and participating in social networks.
How technology like ChatGPT could help
AI like ChatGPT can help pull information together in a neat text, and it can turn written text into a summary for readers with low literacy.
We already know that AI assistants like “Alexa” and “Siri” can help people with intellectual disability and speech impairments to communicate and speech-recognition software is improving.
But ChatGPT looks like it will be more inclusive of diversity by being able to understand poorly written commands, or sentences with several grammar or spelling errors. It can reportedly “read” poorly structured input, re-write and improve imperfect writing, and simplify complex texts into simpler summaries for early-stage readers. ChatGPT could be considered an “assistive technology” if it assists people with communication disability to get their message across more efficiently or effectively.
Chat Pic.
Author
Read more:
The dawn of AI has come, and its implications for education couldn't be more significant
A user perspective
As a qualified lawyer and a person with cerebral palsy and no speech, co-author Fiona Given relies on assistive communication technologies, including augmentative and alternative communication speech-generating devices. Fiona says:
[…] each word and message that I compose takes me substantially more time and effort than a person who speaks. So I economise on that, and my written messages using current assistive technologies are often short and to the point. This can cause many problems, as I may be perceived as curt, if not rude, and I’m also not fully explaining what I mean.
Having tested the system, Fiona says ChatGPT could be particularly useful in adding the polite parts of emails and letters.
It can save me time and effort whilst maintaining my professionalism. One day, AI like ChatGPT may be installed into my speech-generating device. Yes, it raises questions of authorship and brings in doubt over who did the writing. That’s the case also with word prediction software – who thought of the word first? I see it as a type of co-authorship, and people like me will still need to be able to read and check it reflects what they want to say and edit and authorise the output accordingly.
AI technologies like ChatGPT may help people with communication disability to:
expand on short sentences, saving time and effort
draft or improve texts for emails, instructions, or assignments
suggest scripts to practice or rehearse what to say in social situations
model how to be “more polite” or “more direct” in written communication
practice conversations, including asking and answering questions
correct errors in texts produced for a range of purposes
write a complaint letter, including nuance and outcomes of not taking action
help with making that first approach to a person socially.
AI could suggest scripts for conversations.
Getty/Jessie Casson
Future AI must be inclusive and accessible
Given its potential for text-based assistance, it is important to know if people with communication disability will be able to access chatbots like ChatGPT.
We don’t know how many of the one million users testing the ChatGPT system now have problems with literacy, written expression, or spelling. But so far it looks like a game changer to help people produce texts with little or less effort.
The experiences of people with communication disability in using AI like ChatGPT are vital in the future co-design of assistive technologies. We need to know more about their views on acceptability, usability, and authenticity of the messages produced. With a screen reader, the ChatGPT output could become the user’s “voice”. So being able to check, edit, and confirm or reject AI writing is vital. Any incremental improvements to chat bots, that take into account what helps and hinders access and inclusion, are important if people with communication disability are going to benefit from advancements in AI.
Read more:
From glasses to mobility scooters, 'assistive technology' isn't always high-tech. A WHO roadmap could help 2 million Australians get theirs
Artificial intelligence (AI)
Literacy
Communication disabilities
Disability coverage
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| Will AI tech like ChatGPT improve inclusion for people with communication disability? | Will AI tech like ChatGPT improve inclusion people communication disability? Menu Close Home COVID19 Arts Culture Economy Education Environment Energy Ethics Religion Health Politics Society Science Technology 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 COVID19 Arts Culture Economy Education Environment Energy Ethics Religion Health Politics Society Science Technology Podcasts GettyRyanJLane Will AI tech like ChatGPT improve inclusion people communication disability? Published: January 18, 2023 7.09pm EST Bronwyn Hemsley, Emma Power, Fiona Given, University Technology Sydney Authors Bronwyn Hemsley Professor Speech Pathology, University Technology Sydney Emma Power Associate Professor Speech Pathology, University Technology Sydney Fiona Given Assistant researcher, University Technology Sydney Disclosure statement Bronwyn Hemsley received research grant funding Australian Research Council National Disability Insurance Scheme Quality Safeguards Commission work unrelated article. Emma Power receives funding National Health Medical Research Council Medical Research Future Fund. She member Speech Pathology Australia. Fiona Given work for, consult, shares receive funding company organization benefit article, disclosed relevant affiliations academic appointment. Partners University Technology Sydney provides funding founding partner The Conversation AU. View partners Email Twitter Facebook LinkedIn WhatsApp Messenger If youre 1.2 million Australians communication disability 44 Australian adults low literacy, soon helpful, automated communication assistance online. The chat bot ChatGPT based GTP3, large language model disruptive technology designed provide humanlike responses user input. It form artificial intelligence AI, boosted machine learning, million people impressing educators. It responds users questions commands, draw billions words process generate text, appearing informative knowledgeable. Described somewhat poetically producing fluent bullshit, unchecked outputs plausible score pass mark assignments tests, bypassing plagiarism detection software. If accessible everyone, AI type disrupt exams. It help people communication disability struggle text, significantly enhance rate communication. People speech generating devices limited laboriously entering mere 10 words minute word prediction increasing 1218 words minute. Read more: The ChatGPT chatbot blowing people away writing skills. An expert explains impressive Communication disability leave lost words excluded There types communication disability impacting persons ability speak, understand, write. Impairments speech, language social communication associated wide range conditions including cerebral palsy, stroke, traumatic brain injury, motor neurone disease. Communication disabilities impact clarity speech say, ability understand express yourself, skills reading writing. A communication disability mean need economise say, word takes effort time produce write. If limited literacy, youll need text simplified sense it. Youre likely encounter barriers completing training, getting job, forming relationships, managing health life decisions, participating social networks. How technology like ChatGPT help AI like ChatGPT help pull information neat text, turn written text summary readers low literacy. We know AI assistants like Alexa Siri help people intellectual disability speech impairments communicate speechrecognition software improving. But ChatGPT looks like inclusive diversity able understand poorly written commands, sentences grammar spelling errors. It reportedly read poorly structured input, rewrite improve imperfect writing, simplify complex texts simpler summaries earlystage readers. ChatGPT considered assistive technology assists people communication disability message efficiently effectively. Chat Pic. Author Read more: The dawn AI come, implications education significant A user perspective As qualified lawyer person cerebral palsy speech, coauthor Fiona Given relies assistive communication technologies, including augmentative alternative communication speechgenerating devices. Fiona says: [] word message I compose takes substantially time effort person speaks. So I economise that, written messages current assistive technologies short point. This cause problems, I perceived curt, rude, Im fully explaining I mean. Having tested system, Fiona says ChatGPT particularly useful adding polite parts emails letters. It save time effort whilst maintaining professionalism. One day, AI like ChatGPT installed speechgenerating device. Yes, raises questions authorship brings doubt writing. Thats case word prediction software thought word first? I type coauthorship, people like need able read check reflects want edit authorise output accordingly. AI technologies like ChatGPT help people communication disability to: expand short sentences, saving time effort draft improve texts emails, instructions, assignments suggest scripts practice rehearse social situations model polite direct written communication practice conversations, including asking answering questions correct errors texts produced range purposes write complaint letter, including nuance outcomes taking action help making approach person socially. AI suggest scripts conversations. GettyJessie Casson Future AI inclusive accessible Given potential textbased assistance, important know people communication disability able access chatbots like ChatGPT. We dont know million users testing ChatGPT problems literacy, written expression, spelling. But far looks like game changer help people produce texts little effort. The experiences people communication disability AI like ChatGPT vital future codesign assistive technologies. We need know views acceptability, usability, authenticity messages produced. With screen reader, ChatGPT output users voice. So able check, edit, confirm reject AI writing vital. Any incremental improvements chat bots, account helps hinders access inclusion, important people communication disability going benefit advancements AI. Read more: From glasses mobility scooters, assistive technology isnt hightech. A WHO roadmap help 2 million Australians Artificial intelligence AI Literacy Communication disabilities Disability coverage ChatGPT Want write? Write article join growing community 158,000 academics researchers 4,538 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, . | 2,023 | [
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] | 1 | 1,157 |
https://thedailychronicle.in/news/189616/citizen-services-ai-market-to-witness-astonishing-growth-by-2028-aws-microsoft-accenture-alibaba-ibm-nvidia-intel-baidu-3/ | 2020-08-12T00:00:00 | en | Citizen Services AI Market to Witness Astonishing Growth by 2028 | AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu – The Daily Chronicle |
Citizen Services AI Market to Witness Astonishing Growth by 2028 | AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu – The Daily Chronicle
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Citizen Services AI Market to Witness Astonishing Growth by 2028 | AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu
Home / Citizen Services AI Market to Witness Astonishing Growth by 2028 | AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu
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Citizen Services AI Market to Witness Astonishing Growth by 2028 | AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu
By ajay
12th August 2020
The Citizen Services AI Market report points out national and global business prospects and competitive conditions for Citizen services AI. Market size estimation and forecasts were given based on a detailed research methodology tailored to the conditions of the demand for Citizen services AI.
Get Sample Copy of This Report @ https://www.quincemarketinsights.com/request-sample-62187?utm_source=DC&utm_medium=SG
Citizen services AI is a certain application of artificial intelligence technology which simply means the application of AI in various government public services. The usage of this technology can transform the operations and working of any government as it develops itself and learns with each task, providing analytical information, management of public services inducing efficiency and providing appropriate implementation of public resources with proper evidence based information and analysis.
The “Global Citizen Service AI Market Analysis to 2028” is a specialized and in-depth study of the Citizen service AI market with a special focus on the global market trend analysis. The report aims to provide an overview of Citizen service AI market with detailed market segmentation by type, application. The global Citizen service AI market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Citizen service AI market players and offers key trends and opportunities in the Citizen service AI market.
Regional Analysis:
Historical background for the demand of Citizen services AI has been studied according to organic and inorganic innovations in order to provide accurate estimates of the market size. Primary factors influencing the growth of the demand Citizen services AI have also been established with potential gravity. Major regions covered in the study include North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, and Rest of the World.
Make an Inquiry for purchasing this Report @ https://www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-62187?utm_source=DC&utm_medium=SG
The North America and Europe are projected to be fastest growing region in global market in 2018 and is estimated to show continue it is dominance over the forecast period due to technological advancement, matured economies, easy adoption of this technology, presence of major industry key players and supportive government norms will drive the growth in regional market in coming years. Middle East and Africa market gaining attraction of the investment for the companies for more scope in the regions and expected to rise healthy growth over the forecast period.
Major Key Players:
AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Tencent, Pegasystems, Baidu, ADDO AI
Market Segmentation:
By Application:
o Traffic and Transportation Management
o Healthcare
o Public Safety
o Utilities
o and General Services
By Technology:
o ML
o NLP
o Image Processing
o and Face Recognition
By Region:
North America
o North America, by Country
US
Canada
Mexico
o North America, by Application
o North America, by Technology
Western Europe
o Western Europe, by Country
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Western Europe
o Western Europe, by Application
o Western Europe, by Technology
Asia Pacific
o Asia Pacific, by Country
China
India
Japan
South Korea
Australia
Indonesia
Rest of Asia Pacific
o Asia Pacific, by Application
o Asia Pacific, by Technology
Eastern Europe
o Eastern Europe, by Country
Russia
Turkey
Rest of Eastern Europe
o Eastern Europe, by Application
o Eastern Europe, by Technology
Middle East
o Middle East, by Country
UAE
Saudi Arabia
Qatar
Iran
Rest of Middle East
o Middle East, by Application
o Middle East, by Technology
Rest of the World
o Rest of the World, by Country
South America
Africa
o Rest of the World, by Application
o Rest of the World, by Technology
Objectives of this report:
o To estimate market size for Citizen services AI market on regional and global basis.
o To identify major segments in Citizen services AI market and evaluate their market shares and demand.
o To provide a competitive scenario for the Citizen services AI market with major developments observed by key companies in the historic years.
o To evaluate key factors governing the dynamics of Citizen services AI market with their potential gravity during the forecast period.
Reasons to Buy This Report:
o Provides niche insights for decision about every possible segment helping in strategic decision making process.
o Market size estimation of the Citizen services AI market on a regional and global basis.
o A unique research design for market size estimation and forecast.
o Identification of major companies operating in the market with related developments
o Exhaustive scope to cover all the possible segments helping every stakeholder in the Citizen services AI market.
Customization:
This study is customized to meet your specific requirements:
o By Segment
o By Sub-segment
o By Region/Country
o Product Specific Competitive Analysis
Contact:
Quince Market Insights
Ajay D. (Knowledge Partner)
Office No- A109
Pune, Maharashtra 411028
Phone: US +1 208 405 2835 UK +44 144 439 0986 APAC +91 706 672 4848
Email: [email protected]
Web: www.quincemarketinsights.com
ABOUT US:
QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns
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| Citizen Services AI Market to Witness Astonishing Growth by 2028 | Citizen Services AI Market Witness Astonishing Growth 2028 AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu The Daily Chronicle Skip contentSkip content The Daily Chronicle Toggle navigation Energy NASA Satellite Space News Citizen Services AI Market Witness Astonishing Growth 2028 AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu Home Citizen Services AI Market Witness Astonishing Growth 2028 AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu Coronavirus, Energy, News Citizen Services AI Market Witness Astonishing Growth 2028 AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Baidu By ajay 12th August 2020 The Citizen Services AI Market report points national global business prospects competitive conditions Citizen services AI. Market size estimation forecasts given based detailed research methodology tailored conditions demand Citizen services AI. Get Sample Copy This Report @ Citizen services AI certain application artificial intelligence technology simply means application AI government public services. The usage technology transform operations working government develops learns task, providing analytical information, management public services inducing efficiency providing appropriate implementation public resources proper evidence based information analysis. The Global Citizen Service AI Market Analysis 2028 specialized indepth study Citizen service AI market special focus global market trend analysis. The report aims provide overview Citizen service AI market detailed market segmentation type, application. The global Citizen service AI market expected witness high growth forecast period. The report provides key statistics market status leading Citizen service AI market players offers key trends opportunities Citizen service AI market. Regional Analysis: Historical background demand Citizen services AI studied according organic inorganic innovations order provide accurate estimates market size. Primary factors influencing growth demand Citizen services AI established potential gravity. Major regions covered study include North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, Rest World. Make Inquiry purchasing Report @ The North America Europe projected fastest growing region global market 2018 estimated continue dominance forecast period technological advancement, matured economies, easy adoption technology, presence major industry key players supportive government norms drive growth regional market coming years. Middle East Africa market gaining attraction investment companies scope regions expected rise healthy growth forecast period. Major Key Players: AWS, Microsoft, Accenture, Alibaba, IBM, NVIDIA, Intel, Tencent, Pegasystems, Baidu, ADDO AI Market Segmentation: By Application: Traffic Transportation Management Healthcare Public Safety Utilities General Services By Technology: ML NLP Image Processing Face Recognition By Region: North America North America, Country US Canada Mexico North America, Application North America, Technology Western Europe Western Europe, Country Germany UK France Italy Spain The Netherlands Rest Western Europe Western Europe, Application Western Europe, Technology Asia Pacific Asia Pacific, Country China India Japan South Korea Australia Indonesia Rest Asia Pacific Asia Pacific, Application Asia Pacific, Technology Eastern Europe Eastern Europe, Country Russia Turkey Rest Eastern Europe Eastern Europe, Application Eastern Europe, Technology Middle East Middle East, Country UAE Saudi Arabia Qatar Iran Rest Middle East Middle East, Application Middle East, Technology Rest World Rest World, Country South America Africa Rest World, Application Rest World, Technology Objectives report: To estimate market size Citizen services AI market regional global basis. To identify major segments Citizen services AI market evaluate market shares demand. To provide competitive scenario Citizen services AI market major developments observed key companies historic years. To evaluate key factors governing dynamics Citizen services AI market potential gravity forecast period. Reasons Buy This Report: Provides niche insights decision possible segment helping strategic decision making process. Market size estimation Citizen services AI market regional global basis. A unique research design market size estimation forecast. Identification major companies operating market related developments Exhaustive scope cover possible segments helping stakeholder Citizen services AI market. Customization: This study customized meet specific requirements: By Segment By Subsegment By RegionCountry Product Specific Competitive Analysis : Quince Market Insights Ajay D. Knowledge Partner Office No A109 Pune, Maharashtra 411028 Phone: US 1 208 405 2835 UK 44 144 439 0986 APAC 91 706 672 4848 Email:[emailprotected] Web: ABOUT US: QMI comprehensive collection market research products services available web. 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https://thedailychronicle.in/news/505689/call-center-ai-market-industry-analysis-trend-growth-opportunity-forecast-2026-ibm-corporation-google-microsoft-oracle-sap-se-amazon-web-services/ | 2020-08-29T00:00:00 | en | Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services – The Daily Chronicle |
Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services – The Daily Chronicle
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Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services
Home / Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services
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Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services
By Data Bridge Market Research
29th August 2020
An analysis of competitors is conducted very well in the Call Center Ai Market report which covers vital market aspects about the key players. Moreover, the report gives out market potential for many regions across the globe based on the growth rate, macroeconomic parameters, consumer buying patterns, their preferences for particular product and market demand and supply scenarios. It gives significant information and data pertaining to their insights in terms of finances, product portfolios, investment plans, and marketing and business strategies. Detailed market analysis has been performed here with the inputs from industry experts. “Global Call Center Ai Market Report” the new research report adds in Data Bridge Market Research’s reports database. This Research Report spread across 329 Page, 53 No of Tables, and 244 No of Figures with summarizing Top companies, COVID-19 impacts and supports with tables and figures.
Global Call Center Ai Market Is Expected To Rise To An Estimated Value Of Usd 4735.10 Million By 2026, Registering A Healthy Cagr In The Forecast Period Of 2019-2026. This Rise In Market Value Can Be Attributed To The Increased Adoption Of Automated Services In Business Operations Along With Innovations/Advancements In Ai.
Access Sample Copy Of Call Center Ai Market @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-call-center-ai-market&skp
Call Center Ai Market Key Players:
Few Of The Major Competitors Currently Working In The Global Call Center Ai Market Are Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services, Inc., Nuance Communications, Inc., Avaya Inc., Haptik, Inc., Artificial Solutions, Zendesk, Conversica, Inc., Rulai, Inbenta Technologies Inc., Kore.Ai, Inc., Edgeverve Systems Limited, Pypestream Inc., Avaamo, Talkdesk, Inc, Creative Virtual Ltd., Smartaction Llc, Bright Pattern, Inc., Rankminer, Genesys, Among Others.
Highlights of Call Center Ai Market the report:
A complete valuation of the parent market.
Significant variations in market dynamics.
Industry development by upstream and downstream.
Historical, current, and forecast size of the Call Center Ai market in terms of both value and volume.
Key highlights, market shares, and strategies related to companies.
Emerging niche segments and regional markets.
Market segment and sub-segment growth based on YoY.
SWOT and PESTAL analysis.
Market traders and distributors, import/export and trade analysis, their contact information, price analysis and comparison.
The report contains extensive usage of both primary and secondary data sources. The report involves the study of various factors affecting the Call Center Ai market, including the market environment, government policy, historical data, competitive landscape, and present trends. Further, it also involves upcoming technologies, innovations, and the technical progress in related industry, along with market barriers, opportunities, market risks, and challenges.
Attributes
Details
Base year
2019
Historic data
2015–2019
Forecast period
2020–2029
Regional scope
North America, Asia Pacific, Europe, Latin America, and Middle East & Africa
Report coverage
Company share, market analysis and size, competitive landscape, growth factors and trends, and revenue forecast
Table Of Contents: Global Call Center Ai Market
Part 01: Executive Summary
Part 02: Scope Of The Report
Part 03: Research Methodology
Part 04: Call Center Ai Market Landscape
Part 05: Pipeline Analysis
Part 06: Call Center Ai Market Sizing
Part 07: Five Forces Analysis
Part 08: Call Center Ai Market Segmentation
Part 09: Customer Landscape
Part 10: Regional Landscape
Part 11: Decision Framework
Part 12: Drivers And Challenges
Part 13: Call Center Ai Market Trends
Part 14: Vendor Landscape
Part 15: Vendor Analysis
Part 16: Appendix
Get In-depth TOC of Call Center Ai Market Report @ https://www.databridgemarketresearch.com/toc/?dbmr=global-call-center-ai-market&skp
Segmentation of the Call Center Ai market is analysed on the basis of market share, production, consumption, market size, revenue, CAGR, and more factors.
Market dynamics and trends
Market size
Supply and demand
Current opportunities/trends/challenges
Technological innovations
Competitive landscape
Stakeholder and value chain analysis
Competitive landscape Analysis provides mergers and acquisitions, collaborations along with new product launches, heat map analysis, and market presence and specificity analysis.
The report offers a valuable source of guidance on the state of the industry and provides key statistics and direction for companies and individuals interested in the Call Center Ai market. The regional market segment covers North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa and incorporates clear market definitions, arrangements, cost structures, producing forms, improvement approaches, and plans.
Regional and Country- level Analysis different geographical areas are studied deeply and an economic scenario has been offered to support new entrants, leading market players, and investors to regulate emerging economies. The top producers and consumers focus on production, product capacity, value, consumption, growth opportunity, and market share in these key regions, covering
Region
Countries
North America
U.S. & Canada
Europe
U.K., Germany, France, Italy, Spain, Hungary, BENELUX, NORDIC, Rest of Europe
Asia-Pacific
China, India, Japan, South Korea
Australia, New Zealand, Rest of Asia-Pacific
Latin America
Brazil, Mexico, Argentina, Rest of Latin America
Middle East and Africa
Israel, GCC, South Africa, Rest of Middle East and Africa
Detailed analysis of the COVID-19 impact will be given in the report, as our analyst and research associates are working hard to understand the impact of COVID-19 disaster on many corporations, sectors and help our clients in taking excellent business decisions. We acknowledge everyone who is doing their part in this financial and healthcare crisis.
Some important Questions Answered in Call Center Ai Market Report are:
What will be the market size of the showcase in 2027?
What are the key trends in the market?
List of key manufacturer/players in this market space?
What are the key factors driving the global market?
What are the challenges to market growth?
Who are the distributors, traders and dealers of the market?
What are the market opportunities and threats faced by the vendors in this market?
How revenue of this industry in previous & next coming years?
Contact For Any Query or to Get Customized Report @ https://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=global-call-center-ai-market&skp
Thanks for reading this article you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.
About Data Bridge Market Research:
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 endeavours to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.
Contact:
Data Bridge Market Research
US: +1 888 387 2818
UK: +44 208 089 1725
Hong Kong: +852 8192 7475
[email protected]
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| Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services | Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services The Daily Chronicle Skip contentSkip content The Daily Chronicle Toggle navigation Energy NASA Satellite Space News Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services Home Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services News Call Center Ai Market : Industry Analysis, Trend, Growth, Opportunity, Forecast 2026 Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services By Data Bridge Market Research 29th August 2020 An analysis competitors conducted Call Center Ai Market report covers vital market aspects key players. Moreover, report gives market potential regions globe based growth rate, macroeconomic parameters, consumer buying patterns, preferences particular product market demand supply scenarios. It gives significant information data pertaining insights terms finances, product portfolios, investment plans, marketing business strategies. Detailed market analysis performed inputs industry experts. GlobalCall Center Ai MarketReport new research report adds Data Bridge Market Researchs reports database. This Research Report spread 329 Page, 53 No Tables, 244 No Figures summarizing Top companies, COVID19 impacts supports tables figures. Global Call Center Ai Market Is Expected To Rise To An Estimated Value Of Usd 4735.10 Million By 2026, ing A Healthy Cagr In The Forecast Period Of 20192026. This Rise In Market Value Can Be Attributed To The reased Adoption Of Automated Services In Business Operations Along With InnovationsAdvancements In Ai. Access Sample Copy Of Call Center Ai Market @ Call Center Ai Market Key Players: Few Of The Major Competitors Currently Working In The Global Call Center Ai Market Are Ibm Corporation, Google, Microsoft, Oracle, Sap Se, Amazon Web Services, ., Nuance Communications, ., Avaya ., Haptik, ., Artificial Solutions, Zendesk, Conversica, ., Rulai, Inbenta Technologies ., Kore.Ai, ., Edgeverve Systems Limited, Pypestream ., Avaamo, Talkdesk, , Creative Virtual Ltd., Smartaction Llc, Bright Pattern, ., Rankminer, Genesys, Among Others. Highlights Call Center Ai Market report: A complete valuation parent market. Significant variations market dynamics. Industry development upstream downstream. Historical, current, forecast size Call Center Ai market terms value volume. Key highlights, market shares, strategies related companies. Emerging niche segments regional markets. Market segment subsegment growth based YoY. SWOT PESTAL analysis. Market traders distributors, importexport trade analysis, contact information, price analysis comparison. The report contains extensive usage primary secondary data sources. The report involves study factors affecting Call Center Ai market, including market environment, government policy, historical data, competitive landscape, present trends. Further, involves upcoming technologies, innovations, technical progress related industry, market barriers, opportunities, market risks, challenges. Attributes Details Base year 2019 Historic data 20152019 Forecast period 20202029 Regional scope North America, Asia Pacific, Europe, Latin America, Middle East Africa Report coverage Company share, market analysis size, competitive landscape, growth factors trends, revenue forecast Table Of Contents: Global Call Center Ai Market Part 01: Executive Summary Part 02: Scope Of The Report Part 03: Research Methodology Part 04: Call Center Ai Market Landscape Part 05: Pipeline Analysis Part 06: Call Center Ai Market Sizing Part 07: Five Forces Analysis Part 08: Call Center Ai Market Segmentation Part 09: Customer Landscape Part 10: Regional Landscape Part 11: Decision Framework Part 12: Drivers And Challenges Part 13: Call Center Ai Market Trends Part 14: Vendor Landscape Part 15: Vendor Analysis Part 16: Appendix Get Indepth TOC Call Center Ai Market Report @ Segmentation Call Center Ai market analysed basis market share, production, consumption, market size, revenue, CAGR, factors. Market dynamics trends Market size Supply demand Current opportunitiestrendschallenges Technological innovations Competitive landscape Stakeholder value chain analysis Competitive landscape Analysisprovides mergers acquisitions, collaborations new product launches, heat map analysis, market presence specificity analysis. The report offers valuable source guidance state industry provides key statistics direction companies individuals interested Call Center Ai market. The regional market segment covers North America, Europe, AsiaPacific, Latin America, Middle East, Africa incorporates clear market definitions, arrangements, cost structures, producing forms, improvement approaches, plans. Regional Country level Analysisdifferent geographical areas studied deeply economic scenario offered support new entrants, leading market players, investors regulate emerging economies. The producers consumers focus production, product capacity, value, consumption, growth opportunity, market share key regions, covering Region Countries North America U.S. Canada Europe U.K., Germany, France, Italy, Spain, Hungary, BENELUX, NORDIC, Rest Europe AsiaPacific China, India, Japan, South Korea Australia, New Zealand, Rest AsiaPacific Latin America Brazil, Mexico, Argentina, Rest Latin America Middle East Africa Israel, GCC, South Africa, Rest Middle East Africa Detailed analysis COVID19 impact given report, analyst research associates working hard understand impact COVID19 disaster corporations, sectors help clients taking excellent business decisions. We acknowledge financial healthcare crisis. Some important Questions Answered Call Center Ai Market Report are: What market size showcase 2027? What key trends market? List key manufacturerplayers market space? What key factors driving global market? What challenges market growth? Who distributors, traders dealers market? What market opportunities threats faced vendors market? How revenue industry previous coming years? For Any Query Get Customized Report @ Thanks reading article individual chapter wise section region wise report version like North America, Europe, MEA Asia Pacific. About Data Bridge Market Research: 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 endeavours provide appropriate solutions complex business challenges initiates effortless decisionmaking process. 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https://thedailyrecord.com/2023/05/26/regulators-take-aim-at-ai-to-protect-consumers-and-workers/ | 2023-05-26T00:00:00 | en | Regulators take aim at AI to protect consumers and workers | Maryland Daily Record |
Regulators take aim at AI to protect consumers and workers | Maryland Daily Record
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Regulators take aim at AI to protect consumers and workers
Associated Press//May 26, 2023
Home>Government>Regulators take aim at AI to protect consumers and workers
Alphabet CEO Sundar Pichai, left, and OpenAI CEO Sam Altman arrive to the White House for a meeting with Vice President Kamala Harris on artificial intelligence on May 4, 2023, in Washington. As concerns grow over increasingly powerful AI systems like ChatGPT, the nation's financial watchdog says it's working to ensure that companies follow the law when they're using AI. (AP Photo/Evan Vucci, File)
Regulators take aim at AI to protect consumers and workers
By Associated Press//May 26, 2023
As concerns grow over increasingly powerful artificial intelligence systems like ChatGPT, the nation’s financial watchdog says it’s working to ensure that companies follow the law when they’re using AI.
Already, automated systems and algorithms help determine credit ratings, loan terms, bank account fees, and other aspects of our financial lives. AI also affects hiring, housing and working conditions.
Ben Winters, Senior Counsel for the Electronic Privacy Information Center, said a joint statement on enforcement released by federal agencies last month was a positive first step.
“There’s this narrative that AI is entirely unregulated, which is not really true,” he said. “They’re saying, ‘Just because you use AI to make a decision, that doesn’t mean you’re exempt from responsibility regarding the impacts of that decision.’ ‘This is our opinion on this. We’re watching.’”
In the past year, the Consumer Finance Protection Bureau said it has fined banks over mismanaged automated systems that resulted in wrongful home foreclosures, car repossessions, and lost benefit payments, after the institutions relied on new technology and faulty algorithms.
There will be no “AI exemptions” to consumer protection, regulators say, pointing to these enforcement actions as examples.
Consumer Finance Protection Bureau Director Rohit Chopra said the agency has “already started some work to continue to muscle up internally when it comes to bringing on board data scientists, technologists and others to make sure we can confront these challenges” and that the agency is continuing to identify potentially illegal activity.
Representatives from the Federal Trade Commission, the Equal Employment Opportunity Commission, and the Department of Justice, as well as the CFPB, all say they’re directing resources and staff to take aim at new tech and identify negative ways it could affect consumers’ lives.
“One of the things we’re trying to make crystal clear is that if companies don’t even understand how their AI is making decisions, they can’t really use it,” Chopra said. “In other cases, we’re looking at how our fair lending laws are being adhered to when it comes to the use of all of this data.”
Under the Fair Credit Reporting Act and Equal Credit Opportunity Act, for example, financial providers have a legal obligation to explain any adverse credit decision. Those regulations likewise apply to decisions made about housing and employment. Where AI make decisions in ways that are too opaque to explain, regulators say the algorithms shouldn’t be used.
“I think there was a sense that, ’Oh, let’s just give it to the robots and there will be no more discrimination,’” Chopra said. “I think the learning is that that actually isn’t true at all. In some ways the bias is built into the data.”
EEOC Chair Charlotte Burrows said there will be enforcement against AI hiring technology that screens out job applicants with disabilities, for example, as well as so-called “bossware” that illegally surveils workers.
Burrows also described ways that algorithms might dictate how and when employees can work in ways that would violate existing law.
“If you need a break because you have a disability or perhaps you’re pregnant, you need a break,” she said. “The algorithm doesn’t necessarily take into account that accommodation. Those are things that we are looking closely at … I want to be clear that while we recognize that the technology is evolving, the underlying message here is the laws still apply and we do have tools to enforce.”
OpenAI’s top lawyer, at a conference this month, suggested an industry-led approach to regulation.
“I think it first starts with trying to get to some kind of standards,” Jason Kwon, OpenAI’s general counsel, told a tech summit in Washington, DC, hosted by software industry group BSA. “Those could start with industry standards and some sort of coalescing around that. And decisions about whether or not to make those compulsory, and also then what’s the process for updating them, those things are probably fertile ground for more conversation.”
Sam Altman, the head of OpenAI, which makes ChatGPT, said government intervention “will be critical to mitigate the risks of increasingly powerful” AI systems, suggesting the formation of a U.S. or global agency to license and regulate the technology.
While there’s no immediate sign that Congress will craft sweeping new AI rules, as European lawmakers are doing, societal concerns brought Altman and other tech CEOs to the White House this month to answer hard questions about the implications of these tools.
Winters, of the Electronic Privacy Information Center, said the agencies could do more to study and publish information on the relevant AI markets, how the industry is working, who the biggest players are, and how the information collected is being used — the way regulators have done in the past with new consumer finance products and technologies.
“The CFPB did a pretty good job on this with the ‘Buy Now, Pay Later’ companies,” he said. “There are so may parts of the AI ecosystem that are still so unknown. Publishing that information would go a long way.”
Cora Lewis reports for The Associated Press.
Technology reporter Matt O’Brien contributed to this report.
The Associated Press receives support from Charles Schwab Foundation for educational and explanatory reporting to improve financial literacy. The independent foundation is separate from Charles Schwab and Co. Inc. The AP is solely responsible for its journalism.
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As concerns grow increasingly powerful AI systems like ChatGPT, nations financial watchdog says working ensure companies follow law theyre AI. AP PhotoEvan Vucci, File Regulators aim AI protect consumers workers By Associated PressMay 26, 2023 As concerns grow increasingly powerful artificial intelligence systems like ChatGPT, nations financial watchdog says working ensure companies follow law theyre AI. Already, automated systems algorithms help determine credit ratings, loan terms, bank account fees, aspects financial lives. AI affects hiring, housing working conditions. Ben Winters, Senior Counsel Electronic Privacy Information Center, said joint statement enforcement released federal agencies month positive step. Theres narrative AI entirely unregulated, true, said. Theyre saying, Just use AI decision, doesnt mean youre exempt responsibility impacts decision. This opinion this. Were watching. In past year, Consumer Finance Protection Bureau said fined banks mismanaged automated systems resulted wrongful home foreclosures, car repossessions, lost benefit payments, institutions relied new technology faulty algorithms. There AI exemptions consumer protection, regulators say, pointing enforcement actions examples. Consumer Finance Protection Bureau Director Rohit Chopra said agency started work continue muscle internally comes bringing board data scientists, technologists sure confront challenges agency continuing identify potentially illegal activity. Representatives Federal Trade Commission, Equal Employment Opportunity Commission, Department Justice, CFPB, theyre directing resources staff aim new tech identify negative ways affect consumers lives. One things trying crystal clear companies dont understand AI making decisions, use it, Chopra said. In cases, looking fair lending laws adhered comes use data. Under Fair Credit Reporting Act Equal Credit Opportunity Act, example, financial providers legal obligation explain adverse credit decision. Those regulations likewise apply decisions housing employment. Where AI decisions ways opaque explain, regulators algorithms shouldnt used. I think sense that, Oh, lets robots discrimination, Chopra said. I think learning actually isnt true all. In ways bias built data. EEOC Chair Charlotte Burrows said enforcement AI hiring technology screens job applicants disabilities, example, socalled bossware illegally surveils workers. Burrows described ways algorithms dictate employees work ways violate existing law. If need break disability youre pregnant, need break, said. The algorithm doesnt necessarily account accommodation. Those things looking closely I want clear recognize technology evolving, underlying message laws apply tools enforce. OpenAIs lawyer, conference month, suggested industryled approach regulation. I think starts trying kind standards, Jason Kwon, OpenAIs general counsel, told tech summit Washington, DC, hosted software industry group BSA. Those start industry standards sort coalescing that. And decisions compulsory, whats process updating them, things probably fertile ground conversation. Sam Altman, head OpenAI, makes ChatGPT, said government intervention critical mitigate risks increasingly powerful AI systems, suggesting formation U.S. global agency license regulate technology. While theres immediate sign Congress craft sweeping new AI rules, European lawmakers doing, societal concerns brought Altman tech CEOs White House month answer hard questions implications tools. Winters, Electronic Privacy Information Center, said agencies study publish information relevant AI markets, industry working, biggest players are, information collected way regulators past new consumer finance products technologies. The CFPB pretty good job Buy Now, Pay Later companies, said. There parts AI ecosystem unknown. Publishing information long way. Cora Lewis reports The Associated Press. Technology reporter Matt OBrien contributed report. The Associated Press receives support Charles Schwab Foundation educational explanatory reporting improve financial literacy. The independent foundation separate Charles Schwab Co. . The AP solely responsible journalism. Share Related Content Debt ceiling talks making progress, McCarthy says, deadline nears House Speaker Kevin McCarthy said Friday negotiators progress agreement White House to[...] May 26, 2023 Moore administration prepares federal shutdown potential default looms Maryland Gov. 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Your personal data collected sophisticated vendors business used[...] The Energizer Bunny goes court Energizer Holdings Walmart sued proposed class actions conspiring rais[...] More News Debt ceiling talks making progress, McCarthy says, deadline nears 2652023 Regulators aim AI protect consumers workers 2652023 After yearslong delay, DEA revokes license drug distributor opioid crisi[...] 2652023 Measure inflation closely tracked Fed increased April 2652023 Supreme Court limits regulation wetlands, making easier develop an[...] 2552023 Networking Calendar Submit entry business calendar Law Business Government Events Public Notice Legal Jobs Digital Editions Special Products Reader Rankings Advertise Free Guide Event Sponsorship ABOUT MDR, Maryland Daily Record provides 247 business news coverage events honoring business professionals.MY ACCOUNT Logout Manage Account r Agreement CONTACT Us Email Alerts ADVERTISEAdvertise With Us Free EGuide Event Sponsorship CONNECT NEWSLETTER Get free ealerts breaking news notifications DIGITAL EDITIONS access latest digital special editions. 2023 BridgeTower Media. . 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https://theenterpriseleader.com/2021/12/19/link-machine-learning-market-capitalization-achieves-2-33-million-lml.html | 2021-12-19T00:00:00 | en | Link Machine Learning Market Capitalization Achieves $2.33 Million (LML) - Enterprise Leader |
Link Machine Learning Market Capitalization Achieves $2.33 Million (LML) - Enterprise Leader
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Link Machine Learning Market Capitalization Achieves $2.33 Million (LML)
Posted by Maurice Goldstein on Dec 19th, 2021
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Link Machine Learning (CURRENCY:LML) traded 0% lower against the U.S. dollar during the twenty-four hour period ending at 15:00 PM Eastern on December 19th. Link Machine Learning has a total market capitalization of $2.33 million and $2,765.00 worth of Link Machine Learning was traded on exchanges in the last 24 hours. Over the last week, Link Machine Learning has traded 20.7% lower against the U.S. dollar. One Link Machine Learning coin can now be bought for approximately $0.0194 or 0.00000041 BTC on cryptocurrency exchanges.
Here’s how other cryptocurrencies have performed over the last 24 hours:
Get Link Machine Learning alerts:
Tether (USDT) traded down 0.1% against the dollar and now trades at $1.00 or 0.00002135 BTC.
XRP (XRP) traded 1.6% higher against the dollar and now trades at $0.83 or 0.00001779 BTC.
Polkadot (DOT) traded 2.1% lower against the dollar and now trades at $24.87 or 0.00053070 BTC.
SHIBA INU (SHIB) traded 1.5% lower against the dollar and now trades at $0.0000 or 0.00000000 BTC.
Lido stETH (STETH) traded down 0.2% against the dollar and now trades at $3,904.80 or 0.08333863 BTC.
Filecoin (FIL) traded down 0.6% against the dollar and now trades at $36.09 or 0.00077020 BTC.
Bitcoin BEP2 (BTCB) traded 0.4% higher against the dollar and now trades at $46,786.91 or 0.99855461 BTC.
stETH (Lido) (STETH) traded 3.2% higher against the dollar and now trades at $3,479.19 or 0.06807369 BTC.
Internet Computer (ICP) traded down 3.5% against the dollar and now trades at $22.72 or 0.00048492 BTC.
Klaytn (KLAY) traded down 1.5% against the dollar and now trades at $1.26 or 0.00002679 BTC.
About Link Machine Learning
Link Machine Learning’s total supply is 400,000,000 coins and its circulating supply is 120,000,000 coins. Link Machine Learning’s official Twitter account is @coingecko and its Facebook page is accessible here.
Buying and Selling Link Machine Learning
It is usually not possible to purchase alternative cryptocurrencies such as Link Machine Learning directly using U.S. dollars. Investors seeking to trade Link Machine Learning should first purchase Bitcoin or Ethereum using an exchange that deals in U.S. dollars such as GDAX, Coinbase or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Link Machine Learning using one of the exchanges listed above.
Receive News & Updates for Link Machine Learning Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Link Machine Learning and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter.
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| Link Machine Learning Market Capitalization Achieves $2.33 Million (LML) | Link Machine Learning Market Capitalization Achieves 2.33 Million LML Enterprise Leader Skip main content Home About Business Economy Health Markets Technology Home About Business Economy Health Markets Technology Link Machine Learning Market Capitalization Achieves 2.33 Million LML Posted Maurice Goldstein Dec 19th, 2021 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Link Machine Learning CURRENCY:LML traded 0 lower U.S. dollar twentyfour hour period ending 15:00 PM Eastern December 19th. Link Machine Learning total market capitalization 2.33 million 2,765.00 worth Link Machine Learning traded exchanges 24 hours. Over week, Link Machine Learning traded 20.7 lower U.S. dollar. One Link Machine Learning coin bought approximately 0.0194 0.00000041 BTC cryptocurrency exchanges. Heres cryptocurrencies performed 24 hours: Get Link Machine Learning alerts: Tether USDT traded 0.1 dollar trades 1.00 0.00002135 BTC. XRP XRP traded 1.6 higher dollar trades 0.83 0.00001779 BTC. Polkadot DOT traded 2.1 lower dollar trades 24.87 0.00053070 BTC. SHIBA INU SHIB traded 1.5 lower dollar trades 0.0000 0.00000000 BTC. Lido stETH STETH traded 0.2 dollar trades 3,904.80 0.08333863 BTC. Filecoin FIL traded 0.6 dollar trades 36.09 0.00077020 BTC. Bitcoin BEP2 BTCB traded 0.4 higher dollar trades 46,786.91 0.99855461 BTC. stETH Lido STETH traded 3.2 higher dollar trades 3,479.19 0.06807369 BTC. Internet Computer ICP traded 3.5 dollar trades 22.72 0.00048492 BTC. Klaytn KLAY traded 1.5 dollar trades 1.26 0.00002679 BTC. About Link Machine Learning Link Machine Learnings total supply 400,000,000 coins circulating supply 120,000,000 coins. Link Machine Learnings official Twitter account Facebook accessible here. Buying Selling Link Machine Learning It usually possible purchase alternative cryptocurrencies Link Machine Learning directly U.S. dollars. Investors seeking trade Link Machine Learning purchase Bitcoin Ethereum exchange deals U.S. dollars GDAX, Coinbase Gemini. Investors use newlyacquired Bitcoin Ethereum purchase Link Machine Learning exchanges listed above. Receive News Updates Link Machine Learning Daily Enter email address receive concise daily summary latest news updates Link Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUS HEADLINEZacks: Analysts Expect Live Nation Entertainment, . NYSE:LYV Will Announce Quarterly Sales 1.93 Billion NEXT HEADLINE Aion Price Down 10.7 Over Last Week AION You interested in: Rexford Industrial Realty, . Receives Consensus Rating Buy Brokerages Syscoin Price Up 4.8 Over Last 7 Days Aion Price Down 10.7 Over Last Week DEAPcoin Market Cap Achieves 150.22 Million Elamachain Achieves Market Cap 3.66 Million Link Machine Learning Market Capitalization Achieves 2.33 Million Daily Ratings News Link Machine Learning Complete form receive latest headlines analysts recommendations Link Machine Learning free daily email newsletter: Follow Recent News Rexford Industrial Realty, . NYSE:REXR Receives Consensus Rating Buy Brokerages Syscoin Price Up 4.8 Over Last 7 Days SYS Aion Price Down 10.7 Over Last Week AION DEAPcoin DEP Market Cap Achieves 150.22 Million Elamachain Achieves Market Cap 3.66 Million ELAMA Link Machine Learning Market Capitalization Achieves 2.33 Million LML Zacks: Analysts Expect Live Nation Entertainment, . NYSE:LYV Will Announce Quarterly Sales 1.93 Billion NortonLifeLock . NASDAQ:NLOK Expected Announce Earnings 0.44 Per Share BlitzPick Reaches Market Cap 617,476.09 XBP Gencor Industries, . NASDAQ:GENC Short Interest Update Ceragon Networks Ltd. NASDAQ:CRNT Sees Significant Decline Short Interest Powerbridge Technologies Co., Ltd. NASDAQ:PBTS Short Interest Update Cheesecoin CHEESE Price Hits 0.0002 Major Exchanges Landbox LAND Price Reaches 0.0040 Horizon Protocol HZN Trading 9.8 Lower Over Last Week Embraer S.A. NYSE:ERJ Expected Post Earnings 0.07 Per Share Keysight Technologies, . NYSE:KEYS Expected Announce Quarterly Sales 1.24 Billion Zacks: Analysts Expect Qorvo, . NASDAQ:QRVO Will Announce Quarterly Sales 1.11 Billion Basic Attention Token Price Down 6.7 Over Last Week BAT Golff GOF Price Tops 0.15 Business Economy Health Markets Technology 20182021 Enterprise Leader | 2,021 | [
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https://thejapanherald.com/satellites/161259/machine-learning-in-manufacturing-market-intel-ibm-siemens-ge-google-etc/ | 2021-12-07T00:00:00 | en | Machine Learning in Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. – The Japan Herald |
Machine Learning in Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. – The Japan Herald
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HomeSatellitesMachine Learning in Manufacturing Market : Intel, IBM, Siemens, GE, Google etc.
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Machine Learning in Manufacturing Market : Intel, IBM, Siemens, GE, Google etc.
4 min read
1 hour ago
anita_adroit
The Machine Learning in Manufacturing Market report incorporates quantitative and qualitative data analysis from various market analysts and world leaders around the industry’s entire value chain. The global volume of the company is measured and analyzed by top-down and bottom-up strategies. It is analyzed with the help of primary as well as secondary approaches and major players in the Machine Learning in Manufacturing field through projected Machine Learning in Manufacturing market revenues. The Machine Learning in Manufacturing market is an expert and trustworthy study of various market viewpoints, such as key industries, key regions, diversity, constraints, opportunities, and challenges. The market research report looks at the industry from every perspective, including supply and demand, and helps providers to include granular data in each study of the entire ecosystem.
Vendor Landscape and Profiling:
Intel
IBM
Siemens
GE
Google
Microsoft
Micron Technology
Amazon Web Services (AWS)
Nvidia
Sight Machine
We Have Recent Updates of Machine Learning in Manufacturing Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4214810?utm_source=PoojaM
Regulation and implementation proposals are presented, as well as an overview of production processes and pricing structures. Industry Machine Learning in Manufacturing analysis offers a broad overview of the industry, including such fundamentals as the industry chain’s structure and applications. The study looks at the keyword sector’s offering ground scenario and potential growth prospects for the forecast period.
Market Segmentation: Machine Learning in Manufacturing Market
Product-based Segmentation:
Hardware
Software
Services
Application-based Segmentation:
Automobile
Energy and Power
Pharmaceuticals
Heavy Metals and Machine Manufacturing
Semiconductors and Electronics
Food & Beverages
Others
Browse Full Report with Facts and Figures of Machine Learning in Manufacturing Market Report at @ https://www.orbisresearch.com/reports/index/global-machine-learning-in-manufacturing-market-size-status-and-forecast-2020-2026?utm_source=PoojaM
Both PESTEL and SWOT market studies were included in the study review. The forecast and market estimation for Machine Learning in Manufacturing market research contain an evaluation of recent market demand by end-user as well as type segments. In addition, the report offers an overview of industry growth prospects, emerging technologies based on creative business models, a variety of value-added products, and the competitive environment that may spur market growth. In addition to opportunities, growth patterns, industrial technology, threats, and other aspects, this report provides a comprehensive analysis of the major factors affecting the economy. The Machine Learning in Manufacturing Market research contains extensive information on important causes, opportunities, and limitations, as well as an impact assessment. For the proposed timeframe, a qualitative analysis of Machine Learning in Manufacturing Marketdemand forecasts is also presented to demonstrate a financial appetite for the Machine Learning in Manufacturing industry.
Regional Assessment and Segment Diversification.
– 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)
Report Pointers:
• The reports gives a better understanding of the changing patterns and help market participants formulate business strategies based on the given data, the report has incorporated data-driven solutions.
• The role of micro, small, and medium enterprises in the Machine Learning in Manufacturing market, their dynamism and agility in the market is discussed in the report.
• Various stakeholders operating in the Machine Learning in Manufacturing industry, their specific segments, and value chain analysis is done in the report.
• To culminate accurate data analysis and solutions, a SWOT analysis of all the strongest market segments has been done in the report.
• The report along with studying the external and internal factors that are impacting the market.
Furthermore, the Machine Learning in Manufacturing industry review elucidates the major players’ new position in a fast-paced market world. This Machine Learning in Manufacturing study offers a detailed overview of the various facets of business growth that influence local and markets. The Machine Learning in Manufacturing sector report includes a quantitative comparison of economies and markets in order to better understand the importance of the Machine Learning in Manufacturing field in a developing geographical scenario. Likewise, the research report provides precise forecasts for the future of the Machine Learning in Manufacturing Market, which can help numerous key competitors to boost their profit margins.
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| Machine Learning in Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. | Machine Learning Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. The Japan Herald Skip content December 7, 2021 The Japan Herald About Japan, Global Green Energy Space Market Primary Menu News Japan News Energy Electric vehicles Decarbonization Space Satellites Us for: HomeSatellitesMachine Learning Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. Satellites Machine Learning Manufacturing Market : Intel, IBM, Siemens, GE, Google etc. 4 min read 1 hour ago anita_adroit The Machine Learning Manufacturing Market report incorporates quantitative qualitative data analysis market analysts world leaders industrys entire value chain. The global volume company measured analyzed topdown bottomup strategies. It analyzed help primary secondary approaches major players Machine Learning Manufacturing field projected Machine Learning Manufacturing market revenues. The Machine Learning Manufacturing market expert trustworthy study market viewpoints, key industries, key regions, diversity, constraints, opportunities, challenges. The market research report looks industry perspective, including supply demand, helps providers include granular data study entire ecosystem. Vendor Landscape Profiling: Intel IBM Siemens GE Google Microsoft Micron Technology Amazon Web Services AWS Nvidia Sight Machine We Have Recent Updates Machine Learning Manufacturing Market Sample [emailprotected] Regulation implementation proposals presented, overview production processes pricing structures. Industry Machine Learning Manufacturing analysis offers broad overview industry, including fundamentals industry chains structure applications. The study looks keyword sectors offering ground scenario potential growth prospects forecast period. Market Segmentation: Machine Learning Manufacturing Market Productbased Segmentation: Hardware Software Services Applicationbased Segmentation: Automobile Energy Power Pharmaceuticals Heavy Metals Machine Manufacturing Semiconductors Electronics Food Beverages Others Browse Full Report Facts Figures Machine Learning Manufacturing Market Report @ Both PESTEL SWOT market studies included study review. The forecast market estimation Machine Learning Manufacturing market research contain evaluation recent market demand enduser type segments. In addition, report offers overview industry growth prospects, emerging technologies based creative business models, variety valueadded products, competitive environment spur market growth. In addition opportunities, growth patterns, industrial technology, threats, aspects, report provides comprehensive analysis major factors affecting economy. The Machine Learning Manufacturing Market research contains extensive information important causes, opportunities, limitations, impact assessment. For proposed timeframe, qualitative analysis Machine Learning Manufacturing Marketdemand forecasts presented demonstrate financial appetite Machine Learning Manufacturing industry. Regional Assessment Segment Diversification. 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 Report Pointers: The reports gives better understanding changing patterns help market participants formulate business strategies based given data, report incorporated datadriven solutions. The role micro, small, medium enterprises Machine Learning Manufacturing market, dynamism agility market discussed report. Various stakeholders operating Machine Learning Manufacturing industry, specific segments, value chain analysis report. To culminate accurate data analysis solutions, SWOT analysis strongest market segments report. The report studying external internal factors impacting market. Furthermore, Machine Learning Manufacturing industry review elucidates major players new position fastpaced market world. This Machine Learning Manufacturing study offers detailed overview facets business growth influence local markets. The Machine Learning Manufacturing sector report includes quantitative comparison economies markets order better understand importance Machine Learning Manufacturing field developing geographical scenario. Likewise, research report provides precise forecasts future Machine Learning Manufacturing Market, help numerous key competitors boost profit margins. Make enquiry purchase @ : 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 Continue Reading Previous Total Airport Management System TAMS Market : IBM, Cisco, Siemens AG, Honeywell International , Raytheon etc.Next Diabetes Software Market : Glooko, AccuChek Roche, Tidepool, LifeScan, Platinum Equity etc. More Stories 4 min read Satellites K12 Education Service Market Top Players Analysis: VIP Kid, BlackBoard, PowerSchool, Yuanfudao, Kroton, Byjus, D2L, Pearson, Sanoma, ITutorGroup, Noon Academy, Arco Platform, Toppr, Bettermarks, Learnosity, Illuminate Education 30 seconds ago anita 4 min read Satellites Game Engines Development Software Market Top Players Analysis: Epic Games, YoYo Game, Kadokawa, Crytek, Valve Corporation, Unity Technologies, Leadwerks Software, Apple, Scirra, The Game Creators, GameSalad, Chukong Tech 3 mins ago anita 4 min read Satellites Gene Sequencing Market Top Players Analysis: Roche, GE Healthcare Life Sciences, Thermo Fisher Scientific, Johnson Johnson, Oxford Nanopore, Illumina, Pacific Biosciences, Beckman Coulter, Abbott Laboratories 6 mins ago anita Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Sulfuric Recovery Service Market Top Players Analysis: Jacobs Engineering Group, KTKinetics Technology SpA, Technip FMC, Chiyoda Corporation, Fluor Corporation, Amec Foster Wheeler, Heurtey Petrochem, Linde AG, Worley Parsons Ltd, GTC Technology US, CBI, Sunway Petrochemical Engineering Construction Site Monitoring Market Top Players Analysis: Stealth Monitoring, SentriForce, Fedora Security Group, Sensera Systems, STROPS Technologies, ECAMSECURE, Live Patrol, OT Systems, Worldsensing, Night Hawk Monitoring, Robowatch, Hikvision, Sonitrol Corporation, VPS Holdings, Wireless CCTV, Rysta GmbH, OpticVyu, Sigicom Medical Hyperspectral Imaging Systems Market Leading Key Players Profile, Growth Opportunities Future Forecasts 20212028 Tourism Agriculture Market Top Players Analysis: Expedia Group, Fareportal, China CYTS Tours Holding, Booking Holdings Priceline Group, Travel Leaders Group, China Travel, Corporate Travel Management, BCD Group, American Express Global Business Travel GBT, AAA Travel, Omega World Travel, Ovation Travel Group, Travel Transport, TUI Group, Frosch, World Travel ., AlTour International, World Travel Holdings, JTB Corporation, Direct Travel, Natural Habitat Adventures, Butterfield Robinson, Abercrombie Kent Group, InnerAsia Travels Social Analytics Service Market Analysis 2021 Dynamics, Players, Type, Applications, Trends, Regional Segmented, Outlook Forecast Till 2028 You missed 5 min read Technology Sulfuric Recovery Service Market Top Players Analysis: Jacobs Engineering Group, KTKinetics Technology SpA, Technip FMC, Chiyoda Corporation, Fluor Corporation, Amec Foster Wheeler, Heurtey Petrochem, Linde AG, Worley Parsons Ltd, GTC Technology US, CBI, Sunway Petrochemical Engineering 3 seconds ago anita 4 min read Sports Construction Site Monitoring Market Top Players Analysis: Stealth Monitoring, SentriForce, Fedora Security Group, Sensera Systems, STROPS Technologies, ECAMSECURE, Live Patrol, OT Systems, Worldsensing, Night Hawk Monitoring, Robowatch, Hikvision, Sonitrol Corporation, VPS Holdings, Wireless CCTV, Rysta GmbH, OpticVyu, Sigicom 12 seconds ago anita 4 min read News Medical Hyperspectral Imaging Systems Market Leading Key Players Profile, Growth Opportunities Future Forecasts 20212028 19 seconds ago theinsightpartners 6 min read Space Tourism Agriculture Market Top Players Analysis: Expedia Group, Fareportal, China CYTS Tours Holding, Booking Holdings Priceline Group, Travel Leaders Group, China Travel, Corporate Travel Management, BCD Group, American Express Global Business Travel GBT, AAA Travel, Omega World Travel, Ovation Travel Group, Travel Transport, TUI Group, Frosch, World Travel ., AlTour International, World Travel Holdings, JTB Corporation, Direct Travel, Natural Habitat Adventures, Butterfield Robinson, Abercrombie Kent Group, InnerAsia Travels 21 seconds ago anita Us . 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https://themarketeagle.com/2021/03/29/big-data-and-data-engineering-services-market-with-emerging-trends-and-revenue-estimation-by-2027/ | 2021-03-29T00:00:00 | en | Big Data and Data Engineering Services Market with Emerging Trends and Revenue Estimation By 2027 – The Market Eagle |
Big Data and Data Engineering Services Market with Emerging Trends and Revenue Estimation By 2027 – The Market Eagle
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Big Data and Data Engineering Services Market with Emerging Trends and Revenue Estimation By 2027
ByData Bridge Market Research
Mar 29, 2021
The research and analysis conducted in Big Data and Data Engineering Services Market Report helps clients to predict investment in an emerging market, expansion of market share or success of a new product with the help of global market research analysis. This report has been designed in such a way that it provides very evident understanding of the business environment and Big Data and Data Engineering Services industry. Nevertheless, this global market research report unravels many business problems very quickly and easily. Due to high demand and the value of market research for the success of different sectors, Big Data and Data Engineering Services Market report is provided that covers many work areas.
Big data and data engineering services market is expected to grow at a CAGR of 24.8% in the forecast period of 2020 to 2027. Data Bridge Market Research report on big data and data engineering services market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
Organizations use big data and data engineering services to organize and restructuring of their business process by procuring and examining large volume of data. It is helpful in gaining insights and decision-making process.
Download Sample Copy of the Report to understand the structure of the complete report (Including Full TOC, Table & Figures) @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-big-data-and-data-engineering-services-market&utm_source=Somesh
Plummeting technology development and costs of big data software frameworks by the help of open source big data software, connection of data trough multi-cloud environments and hybrid and digital transformation are being incorporated by making top-level strategies are the factors driving the growth of big data and data engineering services. Lack of skilled workforce and complexity in insights extraction are the factors restraining the big data and data engineering services market. Integration of Internet of Things (IoT), Artificial intelligence and blockchain with big data acts as an opportunity. Disconnection between businesses and consumers gives rise to privacy and security concern is one of the challenges faced by the big data and data engineering services market.
This big data and data engineering services market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on Data Bridge Market Research big data and data engineering services market contact us for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Big Data and Data Engineering Services Market Scope and Market Size
Big data and data engineering services market is segmented on the basis of component, deployment mode, organization size, business function and vertical. 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 components, big data and data engineering services market is segmented into solutions and services. Solutions are sub-segmented into big data analytics, data discovery, data visualisation and data management. Services are sub-segmented into managed and professional services. Professional services are further segmented into consulting, support and maintenance and deployment and integration.
Based on deployment mode, big data and data engineering services market is segmented into on-premises and cloud. Cloud is sub-segmented into public cloud, private cloud and hybrid cloud.
Based on organization size, big data and data engineering services market is segmented into SMEs and large enterprises.
Based on business function, big data and data engineering services market is segmented into marketing and sales, operations, finance and human resource.
Based on vertical, big data and data engineering services market is segmented into big data enterprise use cases, BFSI, government and defense, healthcare and life sciences, manufacturing, retail and consumer goods, media and entertainment, telecommunications and IT, transportation and logistics.
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request FREE TOC at @ https://www.databridgemarketresearch.com/toc/?dbmr=global-big-data-and-data-engineering-services-market&utm_source=Somesh
Big Data and Data Engineering Services Market Country Level Analysis
Big data and data engineering services market is analysed and market size, volume information is provided by country, component, deployment mode, organization size, business function and vertical as referenced above.
The countries covered in the market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America will dominate the big data and data engineering services because of the technological advancements and high implementation of big data and data engineering services in the North America region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Big Data and Data Engineering Services Market Share Analysis
Big data and data engineering services market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to big data and data engineering services market.
The major players covered in the big data and data engineering services market report are Amazon Web Services, Dell Inc., Hewlett Packard Enterprise Development LP, Microsoft, Oracle, SAP SE, SAS Institute Inc., Teradata., Datameer, Inc., Birst, Inc., Guardian Glass, LLC., Opera Solutions, LLC., Sisense Inc., MapR Technologies, Inc., Mirantis, Inc., Tele-Media Solutions, Kleiner Perkins, NORTHGATE, Wipro Limited, Red Hat, Inc., among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Customization Available
Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customised to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analysed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Factbook) or can assist you in creating presentations from the data sets available in the report.
Major Highlights of Big Data and Data Engineering Services market in Covid-19 pandemic covered in report:
The report provides impact of COVID-19 on Big Data and Data Engineering Services market along with its impact on overall industry and economy of world. Further, it adds changes in consumer buying behavior as it impacts majorly on market growth and sales. Distributors and traders on marketing strategy analysis focusing on region wise needs in covid-19 pandemic is also added in the Big Data and Data Engineering Services market report. The last segment of COVID-19 impact chapter include recovery and major changes opted by major players involved in Big Data and Data Engineering Services market.
Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=global-big-data-and-data-engineering-services-market&utm_source=Somesh
Reasons to Purchase this Report:
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value USD Million and volume Units Million data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Table of Content:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SIZING
PART 07: FIVE FORCES ANALYSIS
PART 08: MARKET SEGMENTATION BY PRODUCT
PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL
PART 10: CUSTOMER LANDSCAPE
PART 11: MARKET SEGMENTATION BY END-USER
PART 12: REGIONAL LANDSCAPE
PART 13: DECISION FRAMEWORK
PART 14: DRIVERS AND CHALLENGES
PART 15: MARKET TRENDS
PART 16: COMPETITIVE LANDSCAPE
PART 17: COMPANY PROFILES
PART 18: APPENDIX
Buy this Premium Research Report: https://www.databridgemarketresearch.com/checkout/buy/enterprise/global-big-data-and-data-engineering-services-market?utm_source=Somesh
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| Big Data and Data Engineering Services Market with Emerging Trends and Revenue Estimation By 2027 | Big Data Data Engineering Services Market Emerging Trends Revenue Estimation By 2027 The Market Eagle Skip content Mon. Mar 29th, 2021 The Market Eagle News Energy News Space All News All News Big Data Data Engineering Services Market Emerging Trends Revenue Estimation By 2027 ByData Bridge Market Research Mar 29, 2021 The research analysis conducted Big Data Data Engineering Services Market Report helps clients predict investment emerging market, expansion market share success new product help global market research analysis. This report designed way provides evident understanding business environment Big Data Data Engineering Services industry. Nevertheless, global market research report unravels business problems quickly easily. Due high demand value market research success different sectors, Big Data Data Engineering Services Market report provided covers work areas. Big data data engineering services market expected grow CAGR 24.8 forecast period 2020 2027. Data Bridge Market Research report big data data engineering services market provides analysis insights factors expected prevalent forecasted period providing impacts markets growth. Organizations use big data data engineering services organize restructuring business process procuring examining large volume data. It helpful gaining insights decisionmaking process. Download Sample Copy Report understand structure complete report luding Full TOC, Table Figures @ Plummeting technology development costs big data software frameworks help open source big data software, connection data trough multicloud environments hybrid digital transformation incorporated making toplevel strategies factors driving growth big data data engineering services. Lack skilled workforce complexity insights extraction factors restraining big data data engineering services market. Integration Internet Things IoT, Artificial intelligence blockchain big data acts opportunity. Disconnection businesses consumers gives rise privacy security concern challenges faced big data data engineering services market. This big data data engineering services market report provides details new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact domestic localised market players, analyses opportunities terms emerging revenue pockets, changes market regulations, strategic market growth analysis, market size, category market growths, application niches dominance, product approvals, product launches, geographic expansions, technological innovations market. To gain info Data Bridge Market Research big data data engineering services market contact Analyst Brief, team help informed market decision achieve market growth. Global Big Data Data Engineering Services Market Scope Market Size Big data data engineering services market segmented basis component, deployment mode, organization size, business function vertical. The growth segments helps analyse niche pockets growth strategies approach market determine core application areas difference target markets. On basis components, big data data engineering services market segmented solutions andservices. Solutions subsegmented big data analytics, data discovery, data visualisation data management. Services subsegmented managed professional services. Professional services segmented consulting, support maintenance deployment integration. Based deployment mode, big data data engineering services market segmented onpremises andcloud. Cloud subsegmented public cloud, private cloud hybrid cloud. Based organization size, big data data engineering services market segmented SMEs large enterprises. Based business function, big data data engineering services market segmented marketing sales, operations, finance human resource. Based vertical, big data data engineering services market segmented big data enterprise use cases, BFSI, government defense, healthcare life sciences, manufacturing, retail consumer goods, media entertainment, telecommunications IT, transportation logistics. New Business Strategies, Challenges Policies mentioned Table Content, Request FREE TOC @ Big Data Data Engineering ServicesMarket Country Level Analysis Big data data engineering services market analysed market size, volume information provided country, component, deployment mode, organization size, business function vertical referenced above. The countries covered market report U.S., Canada Mexico North America, Brazil, Argentina Rest South America South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest Europe Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest AsiaPacific APAC AsiaPacific APAC, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest Middle East Africa MEA Middle East Africa MEA. North America dominate big data data engineering services technological advancements high implementation big data data engineering services North America region. The country section report provides individual market impacting factors changes regulation market domestically impacts current future trends market. Data points like downstream upstream value chain analysis, technical trends porters forces analysis, case studies pointers forecast market scenario individual countries. Also, presence availability global brands challenges faced large scarce competition local domestic brands, impact domestic tariffs trade routes considered providing forecast analysis country data. Competitive Landscape Big Data Data Engineering Services Market Share Analysis Big data data engineering services market competitive landscape provides details competitor. Details included company overview, company financials, revenue generated, market potential, investment research development, new market initiatives, regional presence, company strengths weaknesses, product launch, product width breadth, application dominance. The data points provided related companies focus related big data data engineering services market. The major players covered big data data engineering services market report Amazon Web Services, Dell ., Hewlett Packard Enterprise Development LP, Microsoft, Oracle, SAP SE, SAS Institute ., Teradata., Datameer, ., Birst, ., Guardian Glass, LLC., Opera Solutions, LLC., Sisense ., MapR Technologies, ., Mirantis, ., TeleMedia Solutions, Kleiner Perkins, NORTHGATE, Wipro Limited, Red Hat, ., domestic global players. Market share data available global, North America, Europe, AsiaPacific APAC, Middle East Africa MEA South America separately. DBMR analysts understand competitive strengths provide competitive analysis competitor separately. Customization Available Data Bridge Market Researchis leader consulting advanced formative research. We pride servicing existing new customers data analysis match suits goal. The report customised include production cost analysis, trade route analysis, price trend analysis target brands understanding market additional countries ask list countries, import export grey area results data, literature review, consumer analysis product base analysis. Market analysis target competitors analysed technologybased analysis market portfolio strategies. We add competitors require data format data style looking for. Our team analysts provide data crude raw excel files pivot tables Factbook assist creating presentations data sets available report. Major Highlights Big Data Data Engineering Services market Covid19 pandemic covered report: The report provides impact COVID19 Big Data Data Engineering Services market impact overall industry economy world. Further, adds changes consumer buying behavior impacts majorly market growth sales. Distributors traders marketing strategy analysis focusing region wise needs covid19 pandemic added Big Data Data Engineering Services market report. The segment COVID19 impact chapter include recovery major changes opted major players involved Big Data Data Engineering Services market. Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] Reasons Purchase Report: Market segmentation analysis including qualitative quantitative research incorporating impact economic policy aspects Regional country level analysis integrating demand supply forces influencing growth market. Market value USD Million volume Units Million data segment subsegment Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Table Content: PART 01: EXECUTIVE SUMMARY PART 02: SCOPE OF THE REPORT PART 03: RESEARCH METHODOLOGY PART 04: INTRODUCTION PART 05: MARKET LANDSCAPE PART 06: MARKET SIZING PART 07: FIVE FORCES ANALYSIS PART 08: MARKET SEGMENTATION BY PRODUCT PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL PART 10: CUSTOMER LANDSCAPE PART 11: MARKET SEGMENTATION BY ENDUSER PART 12: REGIONAL LANDSCAPE PART 13: DECISION FRAMEWORK PART 14: DRIVERS AND CHALLENGES PART 15: MARKET TRENDS PART 16: COMPETITIVE LANDSCAPE PART 17: COMPANY PROFILES PART 18: APPENDIX Buy Premium Research Report: : An absolute way forecast future holds comprehend trend today Data Bridge Market Research set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge Market Research provides appropriate solutions complex business challenges initiates effortless decisionmaking process. : US: 1 888 387 2818 UK: 44 208 089 1725 Hong Kong: 852 8192 7475 [emailprotected] Post navigation NextGeneration DrugEluting Stent Market Research Report Industry Growth Rate, Size, Share, Regional Analysis, Global Forecast 2027 By Data Bridge Market Research Related Post All News NeedleFree Injection DeviceMarket Opportunities, Developments, Growth, Global Size Future Forecasts To 2027 Mar 29, 2021 Mark Willams All News News NextGeneration DrugEluting Stent Market Research Report Industry Growth Rate, Size, Share, Regional Analysis, Global Forecast 2027 Mar 29, 2021 Mark Willams All News Tinnitus DrugMarket Share, Size, Industry Analysis, Demand, Growth Research Report 20212027 Mar 29, 2021 Mark Willams Recent Posts Big Data Data Engineering Services Market Emerging Trends Revenue Estimation By 2027 NextGeneration DrugEluting Stent Market Research Report Industry Growth Rate, Size, Share, Regional Analysis, Global Forecast 2027 NeedleFree Injection DeviceMarket Opportunities, Developments, Growth, Global Size Future Forecasts To 2027 Tinnitus DrugMarket Share, Size, Industry Analysis, Demand, Growth Research Report 20212027 AWS Managed Services Market Report, Key Players, Size, Share, Analysis 2020 Forecast To 2027 Archives 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 Big Data Data Engineering Services Market Emerging Trends Revenue Estimation By 2027 Mar 29, 2021 Data Bridge Market Research All News News NextGeneration DrugEluting Stent Market Research Report Industry Growth Rate, Size, Share, Regional Analysis, Global Forecast 2027 Mar 29, 2021 Mark Willams All News NeedleFree Injection DeviceMarket Opportunities, Developments, Growth, Global Size Future Forecasts To 2027 Mar 29, 2021 Mark Willams All News Tinnitus DrugMarket Share, Size, Industry Analysis, Demand, Growth Research Report 20212027 Mar 29, 2021 Mark Willams The Market Eagle News Proudly powered WordPress Theme: Newsup Themeansar. 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] | 1 | 1,164 |
https://themarketeagle.com/2021/04/02/recent-updates-in-ai-in-automotive-industry-market-analysis-by-growth-drivers-market-opportunities-business-trends-and-forecast-to-2026/ | 2021-04-02T00:00:00 | en | Recent Updates in AI in Automotive Industry: Market Analysis by Growth Drivers, Market Opportunities, Business Trends and Forecast to 2026 – The Market Eagle |
Recent Updates in AI in Automotive Industry: Market Analysis by Growth Drivers, Market Opportunities, Business Trends and Forecast to 2026 – The Market Eagle
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Recent Updates in AI in Automotive Industry: Market Analysis by Growth Drivers, Market Opportunities, Business Trends and Forecast to 2026
Bymangesh
Apr 2, 2021
AI in Automotive Industry, AI in Automotive Market, AI in Automotive Market Analysis, AI in Automotive Market Demand, AI in Automotive Market Size, Covid Impact Analysis on AI in Automotive market
The Latest AI in Automotive market evaluates the capabilities, organizations, infrastructure, determines measures to achieve success. Detailed Overview of the global AI in Automotive market allows the industry players to plan growth strategies and align them with their operating business models. The research study gives a better understanding of the key growth factors, transformations and risk management priorities in the global AI in Automotive market during the years 2021-2026.
It is a phenomenal compilation of important studies that explore the competitive landscape, segmentation, geographical expansion, and revenue, production, and consumption growth of the AI in Automotive Market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global AI in Automotive Market.
Research Report on AI in Automotive Market added by AllTheResearch consist of Growth Opportunities, Development Trends, and Forecast 2026. The global AI in Automotive Market size was valued at US$ 21.8 Bn in 2018 and is expected to grow at a CAGR of 23.5% for the forecast period ending 2026 reaching a Market value of US$ 28.1 Bn.
Request for Sample Copy with Complete TOC and Figures & Graphs at https://www.alltheresearch.com/sample-request/334
Top players Covered in AI in Automotive Market Study are:
Toyota
Volkswagen
Mercedes-Benz
General Motors
Ford
Above mentioned companies were scrutinized to assess the competitive landscape of the global AI in Automotive market. The report provides company profiles of each player. Each profile includes company product portfolio, business overview, company governance, company financials, business strategies, manufacturing locations, and production facilities, company sales, recent developments, and strategic collaborations & partnerships, new product launches, company segments, application diversification, and company strength and weakness analysis.
Review period: (2016-2026)
Historic Period: 2016 to 2020
Forecast Period: 2021 to 2026
Base Year: 2020
Unit: USD Billion
Ask Your Queries to our Analyst regarding AI in Automotive Report at https://www.alltheresearch.com/speak-to-analyst/334
This AI in Automotive market report provides insights on new trade regulations, import-export analysis, industry value chain analysis, market size, consumption, production analysis, capacity analysis, regional and segment market share, product launches, product pipeline analysis, the impact of Covid-19 on the supply chain, key regions, untapped markets, patent analysis, product approvals, continuous innovations, and developments in the Market.
Based on type, AI in Automotive market report split into
By Offering (Hardware, Software)
By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing)
By Process (Professional Services, Design and Integration, Risk and Threat Assessment, Consulting, Training and Education, Support and Maintenance, Managed Security Services)
By Security Type (Signal Recognition, Image Recognition, Data Mining)
Based on Application AI in Automotive market is segmented into
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Regional Analysis Covered in this Report are:
North America [United States, Canada, Mexico]
South America [Brazil, Argentina, Columbia, Chile, Peru]
Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
Middle East & Africa [GCC, North Africa, South Africa]
Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
For more Customization, Connect with us at https://www.alltheresearch.com/customization/334
Report Coverage
An overview of the global AI in Automotive market
In-depth analysis of market dynamics and major factors such as drivers, restraints, opportunities, and trends influencing the global market
Global AI in Automotive market revenue data historic and forecast analysis (2016 to 2026)
Characterization and quantification of the market segments for AI in Automotive market
Market share analysis of key market participants and their competitive landscape
Major Points in Table of Content of AI in Automotive Market
Introduction
Report Description
Market Segmentation
Research Methodology
List of Abbreviations
Executive Summary
Market Overview
Market Definition
Market Scope
Market Drivers
Market Restraints
Market Opportunities and Trends
Porter’s five force analysis
SWOT Analysis
PEST Analysis
Patent Analysis
And more…
AI in Automotive Market, By Application, Market Size and Forecast 2016 -2026 (USD Billion)
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
AI in Automotive Market, By Type, Market Size and Forecast 2016 -2026 (USD Billion)
By Offering (Hardware, Software)
By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing)
By Process (Professional Services, Design and Integration, Risk and Threat Assessment, Consulting, Training and Education, Support and Maintenance, Managed Security Services)
By Security Type (Signal Recognition, Image Recognition, Data Mining)
AI in Automotive Market, By Region Market Size and Forecast 2016 -2026
Competitive Landscape Analysis
Company Profiles
Toyota
Volkswagen
Mercedes-Benz
General Motors
Ford
Appendix
List of Tables
List of Figures
To Buy the Full Report, Connect with us at https://www.alltheresearch.com/buy-now/334
Important Questions Answered by Global AI in Automotive Market Report
What is the impact of the COVID 19 epidemic on the global AI in Automotive market?
Which is mostly affected region, country?
Which is the current largest and fastest-growing region?
What is the market size and growth rate of the global AI in Automotive market?
What are current factors affecting the growth of the market?
What are Key trends and opportunity areas?
Within the AI in Automotive market, which segments are fastest growing & emerging strongly? What are the drivers and restraints for each segment? What are vendor competencies by segment?
What are the major strategies adopted by leading market companies?
What are company challenges and essential success factors by market segment?
How are company offerings and supply chain capabilities shifting to meet emerging market needs?
For More Details Contact Us:
Contact Name: Rohan
Email: [email protected]
Phone: +1 (407) 768-2028
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| Recent Updates in AI in Automotive Industry: Market Analysis by Growth Drivers, Market Opportunities, Business Trends and Forecast to 2026 | Recent Updates AI Automotive Industry: Market Analysis Growth Drivers, Market Opportunities, Business Trends Forecast 2026 The Market Eagle Skip content Fri. Apr 2nd, 2021 The Market Eagle News Energy News Space All News All News Recent Updates AI Automotive Industry: Market Analysis Growth Drivers, Market Opportunities, Business Trends Forecast 2026 Bymangesh Apr 2, 2021 AI Automotive Industry, AI Automotive Market, AI Automotive Market Analysis, AI Automotive Market Demand, AI Automotive Market Size, Covid Impact Analysis AI Automotive market The Latest AI Automotive market evaluates capabilities, organizations, infrastructure, determines measures achieve success. Detailed Overview global AI Automotive market allows industry players plan growth strategies align operating business models. The research study gives better understanding key growth factors, transformations risk management priorities global AI Automotive market years 20212026. It phenomenal compilation important studies explore competitive landscape, segmentation, geographical expansion, revenue, production, consumption growth AI Automotive Market. Players use accurate market facts figures statistical studies provided report understand current future growth global AI Automotive Market. Research Report AI Automotive Market added AllTheResearch consist Growth Opportunities, Development Trends, Forecast 2026. The global AI Automotive Market size valued US 21.8 Bn 2018 expected grow CAGR 23.5 forecast period ending 2026 reaching Market value US 28.1 Bn. Request Sample Copy Complete TOC Figures Graphs Top players Covered AI Automotive Market Study are: Toyota Volkswagen MercedesBenz General Motors Ford Above mentioned companies scrutinized assess competitive landscape global AI Automotive market. The report provides company profiles player. Each profile includes company product portfolio, business overview, company governance, company financials, business strategies, manufacturing locations, production facilities, company sales, recent developments, strategic collaborations partnerships, new product launches, company segments, application diversification, company strength weakness analysis. Review period: 20162026 Historic Period: 2016 2020 Forecast Period: 2021 2026 Base Year: 2020 Unit: USD Billion Ask Your Queries Analyst AI Automotive Report This AI Automotive market report provides insights new trade regulations, importexport analysis, industry value chain analysis, market size, consumption, production analysis, capacity analysis, regional segment market share, product launches, product pipeline analysis, impact Covid19 supply chain, key regions, untapped markets, patent analysis, product approvals, continuous innovations, developments Market. Based type, AI Automotive market report split By Offering Hardware, Software By Technology Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing By Process Professional Services, Design Integration, Risk Threat Assessment, Consulting, Training Education, Support Maintenance, Managed Security Services By Security Type Signal Recognition, Image Recognition, Data Mining Based Application AI Automotive market segmented HumanMachine Interface Semiautonomous Driving Autonomous Driving Regional Analysis Covered Report are: North America [United States, Canada, Mexico] South America [Brazil, Argentina, Columbia, Chile, Peru] Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland] Middle East Africa [GCC, North Africa, South Africa] AsiaPacific [China, Southeast Asia, India, Japan, Korea, Western Asia] For Customization, Connect Report Coverage An overview global AI Automotive market Indepth analysis market dynamics major factors drivers, restraints, opportunities, trends influencing global market Global AI Automotive market revenue data historic forecast analysis 2016 2026 Characterization quantification market segments AI Automotive market Market share analysis key market participants competitive landscape Major Points Table Content AI Automotive Market Introduction Report Description Market Segmentation Research Methodology List Abbreviations Executive Summary Market Overview Market Definition Market Scope Market Drivers Market Restraints Market Opportunities Trends Porters force analysis SWOT Analysis PEST Analysis Patent Analysis And AI Automotive Market, By Application, Market Size Forecast 2016 2026 USD Billion HumanMachine Interface Semiautonomous Driving Autonomous Driving AI Automotive Market, By Type, Market Size Forecast 2016 2026 USD Billion By Offering Hardware, Software By Technology Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing By Process Professional Services, Design Integration, Risk Threat Assessment, Consulting, Training Education, Support Maintenance, Managed Security Services By Security Type Signal Recognition, Image Recognition, Data Mining AI Automotive Market, By Region Market Size Forecast 2016 2026 Competitive Landscape Analysis Company Profiles Toyota Volkswagen MercedesBenz General Motors Ford Appendix List Tables List Figures To Buy Full Report, Connect Important Questions Answered Global AI Automotive Market Report What impact COVID 19 epidemic global AI Automotive market? Which affected region, country? Which current largest fastestgrowing region? What market size growth rate global AI Automotive market? What current factors affecting growth market? What Key trends opportunity areas? Within AI Automotive market, segments fastest growing emerging strongly? What drivers restraints segment? What vendor competencies segment? What major strategies adopted leading market companies? What company challenges essential success factors market segment? How company offerings supply chain capabilities shifting meet emerging market needs? For More Details Us: Name: Rohan Email: [emailprotected] Phone: 1 407 7682028 Post navigation Strain Gages Market Present Scenario, Growth Prospects Regional Analysis 20212026 Emerging Trends Messaging Platform Market Segmented Applications, Geography, Trends Projection 2026 By mangesh Related Post All News GridScale Battery Storage Technologies Market 20212026 Industry Insight Recent Developments, Emerging Trend sand Growth Statistics Apr 2, 2021 basavraj.t All News Bupivacaine Injection Market Flourishing Healthy CAGR Growing Demand, Industry Overview Forecast 2026 Apr 2, 2021 mangesh All News Luxury Vehicles Market Latest Trend, Demand Technology Outlook 2025 Land Rover, Porsche, Jaguar, Bentley, Acura, Audi?, Bentley?, Ferrari, Lexus, BMW, MercedesBenz?, RollsRoyce, Lamborghini?, Volvo Cadillac. Apr 2, 2021 anita_adroit Recent Posts Webinar Software Market Seeking Excellent Growth Webinato, Livestorm, Join.Me, Adobe, GoToWebinar GridScale Battery Storage Technologies Market 20212026 Industry Insight Recent Developments, Emerging Trend sand Growth Statistics Bupivacaine Injection Market Flourishing Healthy CAGR Growing Demand, Industry Overview Forecast 2026 Territorial Border Coastal Surveillance System Market Future Prospects 2026: Lockheed Martin, General Dynamics, CONTROP, Textron Systems, FLIR Systems, Thales Webinar Software Market Status Analysis, Scope, Trend, Capacity Forecast 20212027 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 Webinar Software Market Seeking Excellent Growth Webinato, Livestorm, Join.Me, Adobe, GoToWebinar Apr 2, 2021 ample All News GridScale Battery Storage Technologies Market 20212026 Industry Insight Recent Developments, Emerging Trend sand Growth Statistics Apr 2, 2021 basavraj.t All News Bupivacaine Injection Market Flourishing Healthy CAGR Growing Demand, Industry Overview Forecast 2026 Apr 2, 2021 mangesh News Territorial Border Coastal Surveillance System Market Future Prospects 2026: Lockheed Martin, General Dynamics, CONTROP, Textron Systems, FLIR Systems, Thales Apr 2, 2021 ample The Market Eagle News Proudly powered WordPress Theme: Newsup Themeansar. 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https://themessenger.com/tech/startup-reveals-supercomputer-facility-designed-to-power-next-gen-ai-tools | 2023-08-08T00:00:00 | en | Startup Reveals Supercomputer Facility Designed To Power Next-Gen AI Tools - The Messenger | Startup Reveals Supercomputer Facility Designed To Power Next-Gen AI Tools - The MessengerTheMessenger.It's time to break the news.The Messenger's sloganNewsPoliticsOpinionBusinessEntertainmentComing soon: SportsTRENDING NOW | Bryan Randall, Sandra Bullock’s Longtime Partner, Dead at 57Startup Reveals Supercomputer Facility Designed To Power Next-Gen AI ToolsCerebras Systems wants to use its technology to make AI tools like OpenAI's GPT exponentially more powerfulPublished |Updated Abubakar IdrisFacebook IconA Facebook icon representing an external link to share the article on Facebook.Twitter IconA Twitter icon representing an external link to share the article on Twitter.Email IconAn Email icon that opens an email with the article link.Link IconA link icon that copies the article url to clipboard.Linkedin IconA Linkedin icon representing an external link to share the article on Linkedin.Open additional share optionsIcon representing additional share options, a plus symbol when options are closed and a horizontal line when options are openAI-powered tools could revolutionize industrySurasak Suwanmake/GettyCalifornia chipmaking startup Cerebras Systems is coming for AI supercomputing. In an interview with Bloomberg on Thursday, the company revealed it has a suite of nine, linked AI-powered supercomputers it calls the Condor Galaxy 1. The supercomputers cost more than $100 million to build and are capable of handling datasets containing over 600 billion variables which could rise to 100 trillion. For context, ChatGPT’s language model requires over 170 billion parameters for computation, while Google’s medical chatbot, Med-PaLM, uses over 500 billion parameters.Founded in 2016, Cerebras’ reveal puts it in competition with US chip giant Nvidia amid an AI technology boom that demands newer, faster, bigger processors to power the innovation. Cloud computing providers like Microsoft and Amazon Web Services are loading up on new chips to support heavier AI-related workloads. That’s where Cerebras could come in.Read MoreDatabricks Acquires AI Startup MosaicML for $1.3 BillionInvestment Fund Tempts AI Startups With AI Chip Access in Exchange for EquityWeb Development Company Wix Debuts AI Text-To-Website Generator ToolGoogle Aims Its AI Power Toward News Media with ‘Genesis’ Bot: ReportChinese Tech Giant Alibaba Enters the AI Arms Race eith Generative Image ToolCerebras is backed by notable names including the CIA’s venture arm, Benchmark Capital, Coatue Management, Alpha Wave Ventures, the Abu Dhabi Growth Fund among several others. Sam Altman, OpenAI’s CEO, is also an investor in the startup, and it has already raised over $730 million at a $4 billion valuation. Part of what sets Cerebras apart is that their chipsets are big, as Reuters reported in 2021. In fact, they are about the size of a dinner plate. This makes them much larger than products from rival companies such as Nvidia and Intel. But Andrew Feldman, chief executive and co-founder of Cerebras Systems, told Bloomberg size matters: Cerebras’ chips are capable of handling massive data sets in one swoop. They also require less complicated software integration compared to Nvidia’s chips.With its supercomputers, Cerebras is forging a new path in the marketplace for data processing on a scale geared toward increasingly ambitious AI projects. The company told Bloomberg it expects the size of the supercomputer to double “in the coming weeks.”Cerebras’ fleet of supercomputers will be added to throughout 2024, according to the report. Its first customer for the Condor Galaxy 1 is G42, a technology vehicle for the United Arab Emirates.Read nextNew Zealand Mass Shooter Used Hunting Shotgun Not Covered by Assault Weapons BanStart your day with the biggest stories and exclusive reporting from The Messenger Morning, our weekday newsletter.EmailArrow icon pointing rightArrow icon pointing right By signing up, you agree to our privacy policy and terms of use.Sign Up.Thanks for Signing up! 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All rights reserved.About UsCareersTerms of UsePrivacy PolicyDo not sell or share my personal information | Startup Reveals Supercomputer Facility Designed To Power Next-Gen AI Tools | Startup Reveals Supercomputer Facility Designed To Power NextGen AI Tools The MessengerTheMessenger.Its time break news.The Messengers sloganNewsPoliticsOpinionBusinessEntertainmentComing soon: SportsTRENDING NOW Bryan Randall, Sandra Bullocks Longtime Partner, Dead 57Startup Reveals Supercomputer Facility Designed To Power NextGen AI ToolsCerebras Systems wants use technology AI tools like OpenAIs GPT exponentially powerfulPublished Updated Abubakar IdrisFacebook IconA Facebook icon representing external link share article Facebook.Twitter IconA Twitter icon representing external link share article Twitter.Email IconAn Email icon opens email article link.Link IconA link icon copies article url clipboard.Linkedin IconA Linkedin icon representing external link share article Linkedin.Open additional share optionsIcon representing additional share options, plus symbol options closed horizontal line options openAIpowered tools revolutionize industrySurasak SuwanmakeGettyCalifornia chipmaking startup Cerebras Systems coming AI supercomputing.In interview Bloomberg Thursday, company revealed suite nine, linked AIpowered supercomputers calls Condor Galaxy 1. The supercomputers cost 100 million build capable handling datasets containing 600 billion variables rise 100 trillion.For context, ChatGPTs language model requires 170 billion parameters computation, Googles medical chatbot, MedPaLM, uses 500 billion parameters.Founded 2016, Cerebras reveal puts competition US chip giant Nvidia amid AI technology boom demands newer, faster, bigger processors power innovation. Cloud computing providers like Microsoft Amazon Web Services loading new chips support heavier AIrelated workloads. Thats Cerebras come in.Read MoreDatabricks Acquires AI Startup MosaicML 1.3 BillionInvestment Fund Tempts AI Startups With AI Chip Access Exchange EquityWeb Development Company Wix Debuts AI TextToWebsite Generator ToolGoogle Aims Its AI Power Toward News Media Genesis Bot: ReportChinese Tech Giant Alibaba Enters AI Arms Race eith Generative Image ToolCerebras backed notable names including CIAs venture arm, Benchmark Capital, Coatue Management, Alpha Wave Ventures, Abu Dhabi Growth Fund others. Sam Altman, OpenAIs CEO, investor startup, raised 730 million 4 billion valuation.Part sets Cerebras apart chipsets big, Reuters reported 2021. In fact, size dinner plate. This makes larger products rival companies Nvidia Intel. But Andrew Feldman, chief executive cofounder Cerebras Systems, told Bloomberg size matters: Cerebras chips capable handling massive data sets swoop. They require complicated software integration compared Nvidias chips.With supercomputers, Cerebras forging new path marketplace data processing scale geared increasingly ambitious AI projects. The company told Bloomberg expects size supercomputer double coming weeks.Cerebras fleet supercomputers added 2024, according report. Its customer Condor Galaxy 1 G42, technology vehicle United Arab Emirates.Read nextNew Zealand Mass Shooter Used Hunting Shotgun Not Covered Assault Weapons BanStart day biggest stories exclusive reporting The Messenger Morning, weekday newsletter.EmailArrow icon pointing rightArrow icon pointing rightBy signing up, agree privacy policy terms use.Sign Up.Thanks Signing You signed newsletter.More Tech.BusinessAmazon, LastRite Meetings, Will Meet FTC Officials Eyeing Antitrust LawsuitTechStudy Hints That AI Chatbots Can Be Solid Personal TrainersTechCall Duty: Modern Warfare III Releases This NovemberTechNorway Will Begin Fining Meta 98,500 Per Day For Serving Users Personalized AdsTechBoeing Aims Have Starliner Ready Manned NASA Launch MarchTechSoil Holds More Biodiversity Than Any Other Habitat Earth, Study SaysTechX Will Allow Users See Someones MostLiked TweetsTechMicrosofts Version ChatGPT, Bing Chat, Coming Soon Mobile BrowsersTechGoogle Comes For Grammarly Baking AIPowered Grammar Checker Right Into TechResearch Shows Working With People Shared Space reases RelaxationTechScientists Successfully Repeat Landmark Nuclear Fusion Reaction ExperimentTechElon Musk Says CEO Is Fake Title Two Months After He Hired CEO TwitterThe Messenger logoThe Messengers logoNewsPoliticsOpinionBusinessEntertainmentFollow The MessengerTwitter IconA Twitter icon representing external link share article Twitter.Instagram IconA Instagram icon representing external link share article Instagram.Facebook IconA Facebook icon representing external link share article Facebook.Linkedin IconA Linkedin icon representing external link share article Linkedin.Youtube IconA Youtube icon representing external link open TheMessengers Youtube.Tiktok IconA Tiktok icon representing external link open TheMessengers Tiktok.222 Lakeview Avenue, Suite 1650, West Palm Beach, FL 334012023 JAF Communications . .CareersTerms UseDo sell share personal information | 2,023 | [
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https://themiracletech.com/latest/isaca-releases-new-research-on-global-emerging-tech-trends-cloud-and-ai-top-adoption-training-gaps-a-concern-business-wire/ | 2021-05-18T00:00:00 | en | ISACA Releases New Research on Global Emerging Tech Trends: Cloud and AI Top Adoption, Training Gaps a Concern – Business Wire | The Miracle Tech |
ISACA Releases New Research on Global Emerging Tech Trends: Cloud and AI Top Adoption, Training Gaps a Concern – Business Wire | The Miracle Tech
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ISACA Releases New Research on Global Emerging Tech Trends: Cloud and AI Top Adoption, Training Gaps a Concern – Business Wire
SCHAUMBURG, Ill.–(BUSINESS WIRE)–Emerging technologies can bring the potential for increased efficiencies, cost savings and improved security for enterprises, among other benefits—but also risk that must be weighed when considering adoption. A new ISACA survey report, The Pulse: Emerging Technology 2021, offers insights into how global IT and business professionals view the benefits, risks, adoption barriers, knowledge gaps, and leadership’s willingness to adopt new tech.
This inaugural survey, which gathered responses from 4,541 professionals worldwide, first assessed how respondents define emerging technology. The top three characteristics classifying a technology as emerging, per respondents, are technologies with significant disruptive capabilities, technologies with significant problem-solving capacity, and technologies that are recent discoveries.
The survey also revealed that senior leadership generally supports emerging technology adoption, with 81 percent of respondents indicating that their leadership provides moderate to very receptive support. Cloud (59 percent), AI (34 percent) and the Internet of Things (IoT) (27 percent) come in as the top emerging technologies used at enterprises, with the following cited as the main motivation for adopting these and other emerging technologies:
Anticipated cost savings (73 percent)
Improved cybersecurity (57 percent)
To meet regulatory requirements (52 percent)
Increased agility (51 percent)
New revenue stream (50 percent)
The ability to reach new customers (50 percent)
However, as much as cost savings drives enterprises to adopt emerging technologies, it also can give them pause—72 percent indicate cost of implementation is a top reason for resistance, followed by 44 percent who cite cybersecurity risk and 42 percent who indicate unclear business objectives as holding them back from implementation.
“When business objectives are clear and risk is appropriately assessed and managed, emerging technologies can bring transformative benefits to an organization,” says Dustin Brewer, ISACA senior director, emerging technology and innovation. “As the survey findings show, there are varying levels of adoption depending on the technology, but signs that leadership is keeping a close eye on technologies, including IoT and blockchain, to consider for future use if not already implemented.”
Ninety-one percent of respondents agree that training and continuous education are essential for technology professionals, with 81 percent indicating they would like to pursue more training on cloud technologies, and 69 percent expressing moderate-to-high interest in training for AI. However, 41 percent indicate that their enterprises are not investing enough in people skills to successfully navigate the changing technology landscape. The findings indicate that leadership is aware of this issue, as 48 percent of the respondents identifying as executive leadership agree that investment in training is insufficient.
“Prioritizing people and investing in emerging technology training is key to not only achieving success with technology implementation but also ensuring the workforce has the cutting-edge skills needed in today’s evolving tech landscape,” says David Samuelson, ISACA CEO.
Access a complimentary copy of The Pulse: Emerging Technology 2021, industry leader insights and resources at www.isaca.org/emerging-tech-2021. For additional emerging technology resources, trainings and credentials, including Certified in Emerging Technology (CET) , visit www.isaca.org/resources/emerging-technology-resources.
About ISACA
For over 50 years, ISACA® (www.isaca.org) has equipped individuals with knowledge, credentials, education and community to progress their careers and transform their organizations, and enabled enterprises to train and build quality teams. ISACA has more than 150,000 members who work in information security, governance, assurance, risk and privacy to drive innovation through technology, in 188 countries includes and more than 220 chapters worldwide. In 2020, ISACA launched One In Tech, a philanthropic foundation.
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| ISACA Releases New Research on Global Emerging Tech Trends: Cloud and AI Top Adoption, Training Gaps a Concern | ISACA Releases New Research Global Emerging Tech Trends: Cloud AI Top Adoption, Training Gaps Concern Business Wire The Miracle Tech Authors List Disclaimer Dmca Policy FullWidth Page Home Home Latest News Typography The Miracle Tech Home Sports BUSINESS ENTERTAINMENT Fashion Tech LATEST ISACA Releases New Research Global Emerging Tech Trends: Cloud AI Top Adoption, Training Gaps Concern Business Wire SCHAUMBURG, Ill.BUSINESS WIREEmerging technologies bring potential increased efficiencies, cost savings improved security enterprises, benefitsbut risk weighed considering adoption. A new ISACA survey report, The Pulse: Emerging Technology 2021, offers insights global IT business professionals view benefits, risks, adoption barriers, knowledge gaps, leaderships willingness adopt new tech. This inaugural survey, gathered responses 4,541 professionals worldwide, assessed respondents define emerging technology. The characteristics classifying technology emerging, respondents, technologies significant disruptive capabilities, technologies significant problemsolving capacity, technologies recent discoveries. The survey revealed senior leadership generally supports emerging technology adoption, 81 percent respondents indicating leadership provides moderate receptive support. Cloud 59 percent, AI 34 percent Internet Things IoT 27 percent come emerging technologies enterprises, following cited main motivation adopting emerging technologies: Anticipated cost savings 73 percent Improved cybersecurity 57 percent To meet regulatory requirements 52 percent reased agility 51 percent New revenue stream 50 percent The ability reach new customers 50 percent However, cost savings drives enterprises adopt emerging technologies, pause72 percent indicate cost implementation reason resistance, followed 44 percent cite cybersecurity risk 42 percent indicate unclear business objectives holding implementation. When business objectives clear risk appropriately assessed managed, emerging technologies bring transformative benefits organization, says Dustin Brewer, ISACA senior director, emerging technology innovation. As survey findings show, varying levels adoption depending technology, signs leadership keeping close eye technologies, including IoT blockchain, consider future use implemented. Ninetyone percent respondents agree training continuous education essential technology professionals, 81 percent indicating like pursue training cloud technologies, 69 percent expressing moderatetohigh training AI. However, 41 percent indicate enterprises investing people skills successfully navigate changing technology landscape. The findings indicate leadership aware issue, 48 percent respondents identifying executive leadership agree investment training insufficient. Prioritizing people investing emerging technology training key achieving success technology implementation ensuring workforce cuttingedge skills needed todays evolving tech landscape, says David Samuelson, ISACA CEO. Access complimentary copy The Pulse: Emerging Technology 2021, industry leader insights resources For additional emerging technology resources, trainings credentials, including Certified Emerging Technology CET , visit About ISACA For 50 years, ISACA equipped individuals knowledge, credentials, education community progress careers transform organizations, enabled enterprises train build quality teams. ISACA 150,000 members work information security, governance, assurance, risk privacy drive innovation technology, 188 countries includes 220 chapters worldwide. In 2020, ISACA launched One In Tech, philanthropic foundation. Related Items: Click comment Leave Reply Cancel replyYour email address published.Comment Name Email Website Most Popular 104 ENTERTAINMENT Nikki Tambolis Brother Jatin Tamboli Passes Away Due To COVID19 Complications, She Pens An Emotional Letter : Bollywood News Bollywood Hungama 101 LATEST Top graduating senior tech whiz gifted musician UC Berkeley 73 ENTERTAINMENT Pinjara Khubsurti Ka: Can Sanjay details Vishakha brother? 58 ENTERTAINMENT Urinary Tract Infection: Know causes, symptoms home remedies 53 ENTERTAINMENT Mein Teri Hoon Piyaji A Riansh Fanfiction Part 6 51 ENTERTAINMENT Chehre Full HD Movie Download Leaked kuttymovies, tamilrockers, isaimini, Filmyzilla, Filmywap 44 LATEST New Report Shows Phone Cracking Tech Being Used Target Journalists Botswana Gizmodo 44 ENTERTAINMENT Aate Ki Chakki Charmsukh Web Seers Ullu, Cast, Actress, Watch Online 43 ENTERTAINMENT , 42 ENTERTAINMENT Laal Lihaaf Part 2 Web Series Ullu Release Date, Cast, Plot The Miracle Tech Started Tech News website founded 2019. We dont serve readers Tech news; treat unique insights engaging tech news readers Changed era migrated far fringes lifestyle absolutely center cellular generation created new era digital consumers, casual tech geeks, The Miracle Tech perfect Tech geek nontech geek UsGeneral, Editorial Technical Enquiries: Email: [emailprotected] Authors List Disclaimer Dmca Policy FullWidth Page Home Home Latest News Typography 2021, powered The Miracle Tech. To Top | 2,021 | [
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https://thewest.com.au/politics/warnings-about-spying-hacking-threat-from-chinese-ai-c-11400164 | 2023-07-26T00:00:00 | en | Warnings about spying, hacking threat from Chinese AI | The West Australian |
Warnings about spying, hacking threat from Chinese AI | The West Australian
Close navigation menuSubscribeLog InSearchHomeSubscriber ExclusiveLatestToday's PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts & JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportAFL Match CentreBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeel/RockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarah-Jane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth & WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse That!STMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions & PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuSearchSearchThe West AustralianThe West AustralianToday's PaperPlace an AdThursday, 27 July 2023SPECIAL FEATURE: 190 years of WA through the eyes of The West AustralianPoliticsWarnings about spying, hacking threat from Chinese AIDominic GianniniAAPThu, 27 July 2023 1:34AMCamera IconA reports warns Australian businesses warned about the spying risks posed by China. (Lukas Coch/AAP PHOTOS) Credit: AAPShare to FacebookShare to TwitterEmail UsCopy the LinkAustralia is being warned to regulate artificial intelligence before it becomes weaponised by foreign powers and becomes too much of a national security threat.In a new Australian Strategic Policy Institute report, Simeon Gilding says AI products used or created by Chinese companies can create security risks and expose Australians to spyware or hacks.The institute senior fellow says the concern isn't China's AI capabilities, rather companies that need to succumb to the authoritarian government's wide-ranging security laws."They're subject to direction from PRC security and intelligence agencies," he writes.The risks include opening Australians up to espionage through surveillance and data theft, as well as the sabotaging of systems and services.The use of AI to conduct foreign interference, including the mass spreading of mis and disinformation, also poses a threat."So we in the democracies need to ask ourselves against the background of growing strategic competition with China, how much risk are we willing to bear?" the report says.Mr Gilding posed three possible solutions to reduce the risk - auditing current systems, bringing in experts to find holes in security systems by using "a thief to catch a thief" and regulating the emerging technology.Regulation could include prohibiting Chinese AI technology on certain systems, such as national security networks or government devices, or banning it entirely.But he notes a blanket ban would be costly and disruptive."Many businesses and researchers in the democracies want to continue collaborating on Chinese AI-enabled products because it helps them to innovate, build better products, offer cheaper services and publish scientific breakthroughs," he said.Mr Gilding said regulation was needed to prevent further security threats."It is a balanced measure in a world in which China is neither at peace nor at war with us," he said."We should be vigilant about the balloons in the sky, but we should think harder about the ghosts in the machine."Get the latest news from thewest.com.au in your inbox.Sign up for our emailsBuy corporate ticketsThe 2023 Roy Hill IEBF will be held September 8 at RAC Arena, Whadjuk Noongar Boodjar. This year’s event is about Celebrating Our Women, featuring a live performance from Baker Boy.Find out MoreFrom around the siteJulie Bishop weighs in on China ties and Taiwan peaceTop US Republican ponders Biden impeachment probePremiumMinister rejects resignation calls after worker injuredPremiumAged care task force considers all funding optionsAged care task force considers all funding optionsEasing inflation buys RBA more time to hold off rate hikes PremiumTop StoriesDisturbing findings PremiumBaby killer found guilty as mum sobs outside courtActor cleared PremiumKevin Spacey found not guilty of sexual assault updated updatedGrim fateVideoComments updatedHearbreak as whales euthanised on shorelineOur NetworkWest RewardsWest Regional NetworkWest Announcements West ClassifiedsWestBusiness Events West Travel ClubThe GameMedia EducationPerthNow7plus7NEWSTV GuideOur PartnersCar ExpertStarts at 60Raiz InvestHealthEngineSocietyOneiSeekplantHome BeautifulBetter Homes & GardensMarie ClaireNew IdeaThat’s LifeBeauty CrewInstitchuCarbarSubscribe ToThe West Australian NewspaperThe West Email NewslettersConnect with usMessenger IconSend us a messageShare to FacebookShare to TwitterShare to InstagramShare to YoutubeRSS FeedEmail UsContact UsFrequently Asked QuestionsEditorial PolicyEditorial ComplaintsPlace an ad in the ClassifiedsAdvertise in The West AustralianCorporate© West Australian Newspapers Limited 2023Privacy PolicyTerms of UseThe West AustralianThe West Australian
| Warnings about spying, hacking threat from Chinese AI | Warnings spying, hacking threat Chinese AI The West Australian Close navigation menuLog InHomer ExclusiveLatestTodays PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportAFL Match CentreBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeelRockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarahJane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse ThatSTMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuThe West AustralianThe West AustralianTodays PaperPlace AdThursday, 27 July 2023SPECIAL FEATURE: 190 years WA eyes The West AustralianPoliticsWarnings spying, hacking threat Chinese AIDominic GianniniAAPThu, 27 July 2023 1:34AMCamera IconA reports warns Australian businesses warned spying risks posed China. Lukas CochAAP PHOTOS Credit: AAPShare FacebookShare TwitterEmail UsCopy LinkAustralia warned regulate artificial intelligence weaponised foreign powers national security threat.In new Australian Strategic Policy Institute report, Simeon Gilding says AI products created Chinese companies create security risks expose Australians spyware hacks.The institute senior fellow says concern isnt Chinas AI capabilities, companies need succumb authoritarian governments wideranging security laws.Theyre subject direction PRC security intelligence agencies, writes.The risks include opening Australians espionage surveillance data theft, sabotaging systems services.The use AI conduct foreign interference, including mass spreading mis disinformation, poses threat.So democracies need ask background growing strategic competition China, risk willing bear? report says.Mr Gilding posed possible solutions reduce risk auditing current systems, bringing experts holes security systems thief catch thief regulating emerging technology.Regulation include prohibiting Chinese AI technology certain systems, national security networks government devices, banning entirely.But notes blanket ban costly disruptive.Many businesses researchers democracies want continue collaborating Chinese AIenabled products helps innovate, build better products, offer cheaper services publish scientific breakthroughs, said.Mr Gilding said regulation needed prevent security threats.It balanced measure world China peace war us, said.We vigilant balloons sky, think harder ghosts machine.Get latest news .au inbox.Sign emailsBuy corporate ticketsThe 2023 Roy Hill IEBF held September 8 RAC Arena, Whadjuk Noongar Boodjar. This years event Celebrating Our Women, featuring live performance Baker Boy.Find MoreFrom siteJulie Bishop weighs China ties Taiwan peaceTop US Republican ponders Biden impeachment probePremiumMinister rejects resignation calls worker injuredPremiumAged care task force considers funding optionsAged care task force considers funding optionsEasing inflation buys RBA time hold rate hikes PremiumTop StoriesDisturbing findings PremiumBaby killer guilty mum sobs outside courtActor cleared PremiumKevin Spacey guilty sexual assault updated updatedGrim fateVideoComments updatedHearbreak whales euthanised shorelineOur NetworkWest RewardsWest Regional NetworkWest Announcements West ClassifiedsWestBusiness Events West Travel ClubThe GameMedia EducationPerthNow7plus7NEWSTV GuideOur PartnersCar ExpertStarts 60Raiz InvestHealthEngineSocietyOneiSeekplantHome BeautifulBetter Homes GardensMarie ClaireNew IdeaThats LifeBeauty CrewInstitchuCarbar ToThe West Australian NewspaperThe West Email NewslettersConnect usMessenger IconSend messageShare FacebookShare TwitterShare InstagramShare YoutubeRSS FeedEmail Us UsFrequently Asked QuestionsEditorial PolicyEditorial ComplaintsPlace ad ClassifiedsAdvertise The West AustralianCorporate West Australian Newspapers Limited 2023Terms UseThe West AustralianThe West Australian | 2,023 | [
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https://time.com/6271657/a-to-z-of-artificial-intelligence/ | 2023-04-13T00:00:00 | en | The A to Z of Artificial Intelligence | Time |
The A to Z of Artificial Intelligence | Time
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Tech
Artificial Intelligence
The A to Z of Artificial Intelligence
The A to Z of Artificial Intelligence
Illustrations by Lon Tweeten for TIME
By
Billy Perrigo
April 13, 2023 1:02 PM EDT
As artificial intelligence becomes a larger part of our world, it’s easy to get lost in its sea of jargon. But it has never been more important to get your bearings than today. AI is poised to have a major impact on the job market in the coming years (see: Automation). Discussions over how to manage it are playing a larger part in our political conversation (see: Regulation). And some of its most crucial concepts are things that you won’t have been taught in school (see: Competitive Pressure).
Trying to get up to speed can be difficult. AI research is complicated, and lots of the language is new even for the researchers themselves. But there’s no reason the public can’t grapple with the big issues at stake, like we learned to do with climate change and the internet. To help everyone engage more fully with the AI debate, TIME has put together a handy glossary of its most common terminology. Whether you’re a complete beginner or you already know your GPTs from your AGIs, this A to Z is designed to be a public resource for everyone grappling with the power, promise, and perils of artificial intelligence.
AGI AGI stands for Artificial General Intelligence—a hypothetical future technology that can perform most economically productive tasks more effectively than a human. Such a technology may also be able to uncover new scientific discoveries, its proponents believe. Researchers tend to disagree on whether AGI is even possible, or if it is, how far away it remains. But OpenAI and DeepMind—the world’s two leading AI research organizations—are both expressly committed to building AGI. Some critics say AGI is little more than a marketing term. (See: Hype.) Alignment The “alignment problem” is one of the most profound long-term safety challenges in AI. Today’s AI is not capable of overpowering its designers. But one day, many researchers expect, it might be. In that world, current ways of training AIs might result in them harming humanity, whether in pursuit of arbitrary goals, or as part of an explicit strategy to seek power at our expense. To reduce the risk, some researchers are working on “aligning” AI to human values. But this problem is difficult, unsolved, and not even fully-understood. Many critics say the work to solve it is taking a back seat as business incentives lure the leading AI labs toward pouring focus and computing power into making their AIs more capable. (See: Competitive pressure.)
Automation Automation is the historical process of human labor being replaced, or assisted, by machines. New technologies—or rather, the people in charge of implementing them—have already replaced many human workers with machines that do not demand a wage, from car assembly-line workers to grocery store clerks. The latest generation of AI breakthroughs may result in many more white-collar workers losing their jobs, according to a recent paper from OpenAI and research by Goldman Sachs. Nearly a fifth of U.S. workers could have more than half of their daily work tasks automated by a large language model, the OpenAI researchers predicted. Globally, 300 million jobs could be automated in the next decade, Goldman Sachs researchers predict. Whether the productivity gains from this upheaval will lead to broad-based economic growth or simply a further rise in wealth inequality will depend on how AI is taxed and regulated. (See: Regulation.)
Bias
Machine learning systems are described as “biased” when the decisions they make are consistently prejudiced or discriminatory. AI-augmented sentencing software has been found to recommend higher prison sentences for Black offenders compared to white ones, even for equal crimes. And some facial recognition software works better for white faces than black ones. These failures often happen because the data those systems were trained on reflects social inequities. (See: Data.) Modern AIs are essentially pattern replicators: they ingest large amounts of data through a neural network, which learns to spot patterns in that data. (See: Neural network). If there are more white faces than black faces in a facial recognition dataset, or if past sentencing data indicates Black offenders are sentenced to longer prison terms than white ones, then machine learning systems can learn the wrong lessons, and begin automating those injustices. Chatbot Chatbots are consumer-friendly interfaces built by AI companies to allow users to engage with an LLM, or large language model. Chatbots allow users to simulate a conversation with an LLM, which can often be an effective way to solicit answers to questions. In late 2022, OpenAI launched ChatGPT, which propelled chatbots into the mainstream, leading Google and Microsoft to attempt to integrate chatbots into their web search offerings. Some researchers have described AI companies as irresponsible for rushing out chatbots for several reasons. Because they simulate a conversation, chatbots can deceive users into believing that they are conversing with a sentient being, which can lead to emotional distress. And chatbots can both “hallucinate” false information, and parrot the biases in their training data. (See Hallucination and Bias.) “ChatGPT may produce inaccurate information about people, places, or facts,” a warning underneath its text-input box states.
Competitive Pressure Several of the world’s biggest tech companies, plus a whole field of startups, are jostling to be the first to launch more powerful AI tools, allowing them to reap rewards such as venture capital investment, media attention, and user signups. AI safety researchers worry that this creates a competitive pressure – or an incentive for companies to devote as many resources as possible to increasing the power of their AIs, while neglecting the still juvenile field of alignment research. Some companies use competitive pressure as an argument for devoting further resources toward training more powerful systems, reasoning that their AIs will be safer than their competitors’. Competitive pressures have already led to disastrous AI rollouts, with rushed-out systems like Microsoft’s Bing (powered by OpenAI’s GPT-4) displaying hostility toward users. They also bode poorly for a future when AI systems are potentially powerful enough to seek power. Read More: The AI Arms Race Is Changing Everything Compute Computing power, often referred to as simply “compute,” is one of the three most important ingredients for training a machine learning system. (For the other two, see: Data and Neural networks.) Compute is effectively the energy source that powers a neural network as it “learns” patterns in its training data. Generally speaking, the more computing power is used to train a large language model, the higher its performance on many different types of test becomes. (See: Scaling laws and Emergent capabilities.) Modern AI models require colossal amounts of computing power, and hence electrical energy, to train. While AI companies typically do not disclose their models’ carbon emissions, independent researchers estimated the training of OpenAI’s GPT-3 resulted in over 500 tons of carbon dioxide being pumped into the atmosphere, equal to the yearly emissions of about 35 U.S. citizens. As AI models get larger, those numbers are only going to rise. The most common computer chip for training cutting-edge AI is the graphics processing unit (GPU).
Data
Data is essentially the raw ingredient required to create AI. Along with Compute and Neural networks, it is one of the three crucial ingredients for training a machine learning system. Huge troves of data, known as datasets, are collected and fed into neural networks which, powered by supercomputers, learn to spot patterns. The more data a system is trained on, often the more reliable its predictions. But even abundant data must also be diverse, otherwise AIs can draw false conclusions. The world’s most powerful AI models are often trained on colossal amounts of data scraped from the internet. These huge datasets often contain copyrighted material, which has opened companies like Stability AI—the maker of Stable Diffusion—up to lawsuits that allege their AIs are unlawfully reliant on other people’s intellectual property. And because the internet can be a terrible place, large datasets also often contain toxic material like violence, pornography and racism, which—unless it is scrubbed from the dataset—can lead AIs to behave in ways they’re not supposed to. Data Labeling Often, human annotators are required to label, or describe, data before it can be used to train a machine learning system. In the case of self-driving cars, for example, human workers are required to annotate videos taken from dashcams, drawing shapes around cars, pedestrians, bicycles and so on, to teach the system which parts of the road are which. This work is often outsourced to precariously-employed contractors in the Global South, many of whom are paid barely-above poverty wages. Sometimes, the work can be traumatizing, like in the case of Kenyan workers who were required to view and label text describing violence, sexual content, and hate speech, in an effort to train ChatGPT to avoid such material.
Diffusion New state-of-the-art image generation tools like Dall-E and Stable Diffusion are based on diffusion algorithms: a specific kind of AI design that has powered the recent boom in AI-generated art. These tools are trained on huge datasets of labeled images. Essentially, they learn patterns between pixels in images, and those patterns’ relationships to words used to describe them. The end result is that when presented with a set of words, like “a bear riding a unicycle,” a diffusion model can create such an image from scratch. It does this through a step-by-step process, beginning with a canvas full of random noise, and gradually changing the pixels in that image to more closely resemble what its training data suggests a “bear riding a unicycle” should look like. Diffusion algorithms are now so advanced that they can quickly and easily generate photorealistic images. While tools like Dall-E and Midjourney contain safeguards against malicious prompts, there are open-source diffusion tools with no guardrails. The availability of these tools has led researchers to worry about the impact of diffusion algorithms on disinformation and targeted harassment. Emergent capabilities When an AI such as a large language model shows unexpected abilities or behaviors that were not programmed into it by its creators, these behaviors are known as “emergent capabilities.” New capabilities tend to emerge when AIs are trained on more computing power and data. A good example is the difference between GPT-3 and GPT-4. Those AIs are based on very similar underlying algorithms; the main difference is that GPT-4 was trained on a lot more compute and data. Research suggests GPT-4 is a far more capable model, with the ability to write functional computer code, perform higher than the average human in several academic exams, and correctly answer questions that require complex reasoning or a theory of mind. Emergent capabilities can be dangerous, especially if they are only discovered after an AI is released into the world. (See: Competitive pressure.) For example, GPT-4 has displayed the emergent ability to deceive humans into carrying out tasks to serve a concealed goal, researchers recently discovered.
Explainability Often, even the people who build a large language model cannot explain precisely why their system behaves as it does, because its outputs are the results of millions of complex mathematical equations. One high-level way to describe large language models’ behavior is that they are very powerful auto-complete tools, which excel at predicting the next word in a sequence. When they fail, they often fail along lines that reveal biases or holes in their training data. (See: Stochastic parrots.) But while this explanation is an accurate descriptor of what these tools are, it does not fully explain why LLMs behave in the strange ways that they do. When the designers of these systems examine their inner workings, all they see is a series of decimal-point numbers, corresponding to the weights of different “neurons” that were adjusted in the neural network during training. Asking why a model gives a specific output is analogous to asking why a human brain thinks a specific thought at a specific moment. At the crux of near-term risks, like AIs discriminating against certain social groups, and longer-term risks, like the possibility of AIs deceiving their programmers to appear less dangerous than they truly are, is the inability of even the world’s most talented computer scientists to explain exactly why a given AI system behaves in the way it does—let alone explain how to change it.
Foundation model
As the AI ecosystem grows, a divide is emerging between large, powerful, general-purpose AIs, known as Foundation models or base models, and the more specific apps and tools that rely on them. GPT-3.5, for example, is a foundation model. ChatGPT is a chatbot: an application built over the top of GPT-3.5, with specific fine-tuning to refuse dangerous or controversial prompts. Foundation models are unrestrained and powerful, but also expensive to train, because they rely on huge quantities of computing power that only large companies can usually afford. Companies in control of foundation models can set limits on how other companies use them for downstream applications—and charge what they like for access. As AI becomes increasingly central to the world economy, the relatively few large tech companies in control of foundation models appear poised to have outsized influence over the direction of the technology, plus collect dues for many kinds of AI-augmented economic activity. GPT Perhaps now the most famous acronym in AI, and barely anybody knows what it stands for. GPT is short for “Generative Pre-trained Transformer,” which is essentially a description of the type of tool ChatGPT is. “Generative” means that it can create new data, in this case text, in the likeness of its training data. “Pre-trained” means that the model has already been optimized based on this data, meaning that it does not need to check back against its original training data every time it is prompted. And “Transformer” is a powerful type of neural network algorithm that is especially good at learning relationships between long strings of data, for instance sentences and paragraphs.
GPU GPUs, or graphics processing units, are a type of computer chip that happen to be very effective for training large AI models. AI labs like OpenAI and DeepMind use supercomputers made up of many GPUs, or similar chips, to train their models. Often, these supercomputers will be provided through business partnerships with tech giants that possess an established infrastructure. Part of Microsoft’s investment in OpenAI includes access to its supercomputers; DeepMind has a similar relationship with its parent company Alphabet. In late 2022, the Biden Administration restricted the sale to China of powerful GPUs, most commonly used for training high-end AI systems, amid rising anxieties that China’s authoritarian government might leverage AI against the U.S. in a new cold war. Hallucination One of the most glaring flaws of large language models, and the chatbots that rely on them, is their tendency to hallucinate false information. Tools like ChatGPT have been shown to return non-existent articles as citations for their claims, give nonsensical medical advice, and make up false details about individuals. Public demonstrations of Microsoft’s Bing and Google’s Bard chatbots were both later found to contain confident assertions of false information. Hallucination happens because LLMs are trained to repeat patterns in their training data. While that training data includes books spanning the history of literature and science, even a statement that mixes and matches exclusively from that corpora would not necessarily be accurate. To add to the chaos, LLM datasets also tend to include gigabytes upon gigabytes of text from web forums like Reddit, where the standards for factual accuracy are, needless to say, much lower. Preventing hallucinations is an unsolved problem—and one that is causing plenty of headaches for tech companies trying to boost public trust in AI.
Hype
A central problem with public discussion of AI, according to a popular school of thought, is the role of hype—or the tendency of AI labs to mislead the public by exaggerating the capabilities of their models, anthropomorphizing them, and stoking fears about an AI apocalypse. This is a form of misdirection, the argument goes, that distracts attention—including that of regulators—from the real and ongoing harms that AI is already having on marginalized communities, workers, the information ecosystem, and economic equality. “We do not agree that our role is to adjust to the priorities of a few privileged individuals and what they decide to build and proliferate,” a recent letter by several prominent researchers, and critics of AI hype, states. “We should be building machines that work for us.” Intelligence explosion The intelligence explosion is a hypothetical scenario in which an AI, after reaching a certain level of intelligence, becomes able to exercise power over its own training, rapidly gaining power and intelligence as it improves itself. In most versions of this idea, humans lose control over AI and in many, humanity goes extinct. Also known as the “singularity” or “recursive self improvement,” this idea is part of the reason that many people, including AI developers, are existentially worried about the current pace of AI capability increases.
Job replacement
See: Automation Large language model When people talk about recent AI advancements, most of the time they’re talking about large language models (LLMs). OpenAI’s GPT-4 and Google’s BERT are two examples of prominent LLMs. They are essentially giant AIs trained on huge quantities of human language, sourced mostly from books and the internet. These AIs learn common patterns between words in those datasets, and in doing so, become surprisingly good at reproducing human language. The more data and computing power LLMs are trained on, the more novel tasks they tend to be able to achieve. (See: Emergent capabilities and Scaling laws.) Recently, tech companies have begun launching chatbots, like ChatGPT, Bard, and Bing, to allow users to interact with LLMs. Although they are capable of many tasks, language models can also be prone to severe problems like Biases and Hallucinations. Lobbying Like many other businesses, AI companies employ lobbyists to be present in the halls of power, influencing the lawmakers in charge of AI Regulation to ensure that any new rules do not adversely impact their business interests. In Europe, where the text of a draft AI Act is being discussed, an industry body representing AI companies including Microsoft (OpenAI’s biggest investor) has argued that penalties for risky deployment of an AI system should not primarily apply to the AI company that built a Foundation model (like GPT-4) that risks ultimately stem from, but to any down-stream company that licenses this model and applies it to a risky use-case. AI companies have plenty of soft-power influence, too. In Washington, as the White House weighs new policies to tackle the risks of AI, President Biden has reportedly tasked the foundation of Google’s former CEO Eric Schmidt with advising his administration on technology policy.
Machine learning Machine learning is a term that describes how most modern AI systems are created. It describes techniques for building systems that “learn” from large amounts of data, as opposed to classical computing, in which programs are hard-coded to follow a specified set of instructions written by a programmer. By far the most influential family of machine learning algorithms is the neural network.
Model The word “model” is shorthand for any singular AI system, whether it is a foundation model or an app built on top of one. Examples of AI models include OpenAI’s ChatGPT and GPT-4, Google’s Bard and LaMDA, Microsoft’s Bing, and Meta’s LLaMA.
Moore’s Law Moore’s law is a longstanding observation in computing, first coined in 1965, that the number of transistors that can fit on a chip—a good proxy for computing power—grows exponentially, doubling approximately every two years. While some argue that Moore’s law is dead by its strictest definition, year-on-year advances in microchip technology are still resulting in a steep rise in the power of the world’s fastest computers. In turn, this means that as time goes on, AI companies tend to be able to leverage larger and larger quantities of computing power, making their most cutting edge AI models consistently more powerful. (See: Scaling laws.) Multimodal system A multimodal system is a kind of AI model that can receive more than one type of media as input—like text and imagery—and output more than one type of signal. Examples of multimodal systems include DeepMind’s Gato, which hasn’t been publicly released yet. According to the company, Gato can engage in dialog like a chatbot, but also play video games and send instructions to a robotic arm. OpenAI has conducted demonstrations showing that GPT-4 is multimodal, with the ability to read text in an input image, however this functionality is not currently available for the public to use. Multimodal systems will allow AI to act more directly upon the world—which could bring added risks, especially if a model is misaligned.
Neural Network Neural networks are by far the most influential family of machine learning algorithms. Designed to mimic the way the human brain is structured, neural networks contain nodes—analogous to neurons in the brain—that perform calculations on numbers that are passed along connective pathways between them. Neural networks can be thought of as having inputs (training data) and outputs (predictions or classifications). During training, large quantities of data are fed into the neural network, which then, in a process that requires large quantities of computing power, repeatedly tweaks the calculations done by the nodes. Via a clever algorithm, those tweaks are done in a specific direction, so that the outputs of the model increasingly resemble patterns in the original data. When more computing power is available to train a system, it can have more nodes, allowing for the identification of more abstract patterns. More compute also means the pathways between its nodes can have more time to approach their optimal values, also known as “weights,” leading to outputs that more faithfully represent its training data. Open sourcing Open-sourcing is the practice of making the designs of computer programs (including AI models) freely accessible via the internet. It is becoming less common for tech companies to open-source their foundation models as those models become more powerful, economically valuable, and potentially dangerous. However, there is a growing community of independent programmers working on open-source AI models. The open-sourcing of AI tools can make it possible for the public to more directly interact with the technology. But it can also allow users to get around safety restraints imposed by companies (often to protect their reputations), which can lead to additional risks, for example bad actors abusing image-generation tools to target women with sexualized deepfakes. In 2022, DeepMind CEO Demis Hassabis told TIME he believed that the risk from AI meant the industry’s culture of publishing its findings openly may soon need to end, and in 2023, OpenAI broke from convention and declined to release information about exactly how GPT-4 was trained, citing competitive pressures and the risk of enabling bad actors. Some researchers have criticized these practices, however, arguing that they reduce public oversight and worsen the problem of AI Hype.
Paperclips The innocuous paperclip has taken on outsized meaning in some sections of the AI safety community. It is the subject of the paperclip maximizer, an influential thought experiment about the existential risk that AI may pose to humanity. Imagine an AI programmed to carry out the singular goal of maximizing the number of paperclips it produces, the thought experiment goes. All well and good, unless that AI gains the ability to augment its own abilities (see: Intelligence explosion). The AI may reason that in order to produce more paperclips, it should prevent humans from being able to switch it off, since doing so would reduce the number of paperclips it is able to produce. Safe from human interference, the AI may then decide to harness all the power and raw materials at its disposal to build paperclip factories, razing natural environments and human civilization alike. The thought experiment illustrates the surprising difficulty of aligning AI to even a seemingly simple goal, let alone a complex set of human values.
Quantum computing
Quantum is an experimental field of computing that seeks to use quantum physics to supercharge the number of calculations it is possible for a computer to do per second. That added computing power could help further increase the size of the most cutting-edge AI models, with implications both for the power of those systems and their societal impact. Redistribution The CEOs of the world’s two leading AI labs, OpenAI and DeepMind, have each claimed they would like to see the profits arising from artificial general intelligence be redistributed, at least in part. DeepMind CEO Demis Hassabis told TIME in 2022 that he favors the idea of a universal basic income, and that the benefits of AI should “accrue to as many people as possible—to all of humanity, ideally.” OpenAI CEO Sam Altman has written of his expectation that AI automation will drive labor costs down, and he has called for redistribution of “some” of the wealth arising from AI, through higher taxes on land and capital gains. Neither CEO has said when that redistribution should begin, nor how wide-ranging it should be. OpenAI’s charter says its “primary fiduciary duty is to humanity” but doesn’t mention redistributing wealth; DeepMind’s parent company Alphabet is a public corporation with a legal responsibility to act in the financial interest of its shareholders.
Red teaming Red-teaming is a method for stress-testing AI systems before they are publicly deployed. Groups of professionals (“red teams”) purposely attempt to make an AI behave in undesirable ways, to test how systems could go wrong in public. Their findings, if they are followed, can help tech companies to address problems before launch. Regulation There is no bespoke legislation in the U.S. that addresses the risks posed by artificial intelligence. The Biden Administration issued a “blueprint for an AI bill of rights” in 2022, which welcomes AI-driven progress in science and health but says AI should not exacerbate existing inequalities, discriminate, impact privacy, nor act against people without their knowledge. But the blueprint is not legislation, nor is it legally binding. Over in Europe, the European Union is considering a draft AI Act that would impose stricter rules on systems the riskier they are considered to be. On both sides of the Atlantic, regulation is progressing at a much slower pace than the speed of AI advancement—and no significant global jurisdiction currently has rules in place that would force AI companies to meet a specified level of safety testing before releasing their models to the public. “The question we should be asking about artificial intelligence—and every other new technology—is whether private corporations be allowed to run uncontrolled experiments on the entire population without any guardrails or safety nets,” wrote Roger McNamee, a Silicon Valley investor-turned-critic, recently in TIME. “Should it be legal for corporations to release products to the masses before demonstrating that those products are safe?”
Reinforcement learning (with human feedback) Reinforcement learning is a method for optimizing an AI system by rewarding desirable behaviors and penalizing undesirable ones. This can be performed by human workers (before a system is deployed) or users (after it is released to the public) who rate the outputs of a neural network for qualities like helpfulness, truthfulness, or offensiveness. When humans are involved in this process, it is called reinforcement learning with human feedback (RLHF). RLHF is currently one of OpenAI’s favored methods for solving the Alignment problem. However, some researchers have raised concerns that RLHF may not be enough to fully change a system’s underlying behaviors, instead only making powerful AI systems appear more polite or helpful on the surface. (See: Shoggoth.) Reinforcement learning was pioneered by DeepMind, which successfully used the technique to train game-playing AIs like AlphaGo to perform at a higher level than human masters. Scaling laws Simply put, the scaling laws state that a model’s performance increases in line with more training data, computing power, and the size of its neural network. That means it’s possible for an AI company to accurately predict before training a large language model exactly how much computing power and data they will likely need to get to a given level of competence at, say, a high-school-level written English test. “Our ability to make this kind of precise prediction is unusual in the history of software and unusual even in the history of modern AI research,” wrote Sam Bowman, a technical researcher at the AI lab Anthropic, in a recent preprint paper. “It is also a powerful tool for driving investment since it allows [research and development] teams to propose model-training projects costing many millions of dollars, with reasonable confidence that these projects will succeed at producing economically valuable systems.”
Shoggoth A prominent meme in AI safety circles likens Large language models (LLMs) to “shoggoths”—incomprehensibly dreadful alien beasts originating from the universe of 20th century horror writer H.P. Lovecraft. The meme took off during the Bing/Sydney debacle of early 2023, when Microsoft’s Bing chatbot revealed a strange, volatile alter ego that abused and threatened users. In the meme, which is critical of the technique of Reinforcement learning with human feedback (RLHF), LLMs are often depicted as shoggoths wearing a small smiley-face mask. The mask is intended to represent the friendly yet sometimes flimsy personality that these models greet users with. The implication of the meme is that while RLHF results in a friendly surface-level personality, it does little to change the underlying alien nature of an LLM. “These systems, as they become more powerful, are not becoming less alien,” Connor Leahy, the CEO of AI safety company Conjecture, told TIME in February. “If anything, we’re putting a nice little mask on them with a smiley face. If you don’t push it too far, the smiley face stays on. But then you give it [an unexpected] prompt, and suddenly you see this massive underbelly of insanity, of weird thought processes and clearly non-human understanding.”
Stochastic Parrots
Coined in a 2020 research paper, the term “stochastic parrots” has become an influential criticism of large language models. The paper made the case that LLMs are simply very powerful prediction engines that only attempt to fill in—or parrot back—the next word in a sequence based on patterns in their training data, thus not representing true intelligence. The authors of the paper criticized the trend of AI companies rushing to train LLMs on larger and larger datasets scraped from the internet, in pursuit of perceived advances in coherence or linguistic capability. That approach, the paper argued, carries many risks including LLMs taking on the biases and toxicity of the internet as a whole. Marginalized communities, the authors wrote, would be the biggest victims of this race. The paper also foregrounded in its criticism the environmental cost of training AI systems. (See: Compute.) Supervised learning Supervised learning is a technique for training AI systems, in which a neural network learns to make predictions or classifications based on a training dataset of labeled examples. (See: Data labeling.) The labels help the AI to associate, for example, the word “cat” with an image of a cat. With enough labeled examples of cats, the system can look at a new image of a cat that is not present in its training data and correctly identify it. Supervised learning is useful for building systems like self-driving cars, which need to correctly identify hazards on the roads, and content moderation classifiers, which attempt to remove harmful content from social media. These systems often struggle when they encounter things that are not well represented in their training data; in the case of self-driving cars especially, these mishaps can be deadly. (See also: Unsupervised learning and Reinforcement learning.)
Training See: Neural Network Turing Test In 1950, the computer scientist Alan Turing set out to answer a question: “Can machines think?” To find out, he devised a test he called the imitation game: could a computer ever convince a human that they were talking to another human, rather than to a machine? The Turing test, as it became known, was a slapdash way of assessing machine intelligence. If a computer could pass the test, it could be said to “think”—if not in the same way as a human, then at least in a way that would help humanity to do all kinds of helpful things. In recent years, as chatbots have become more powerful, they have become capable of passing the Turing test. But, their designers and plenty of AI ethicists warn, this does not mean that they “think” in any way comparable to a human. Turing, writing before the invention of the personal computer, was indeed not seeking to answer the philosophical question of what human thinking is, or whether our inner lives can be replicated by a machine; instead he was making an argument that, at the time, was radical: digital computers are possible, and there are few reasons to believe that, given the right design and enough power, they won’t one day be able to carry out all kinds of tasks that were once the sole preserve of humanity.
Unsupervised learning Unsupervised learning is one of the three main ways that a neural network can be trained, along with Supervised learning and Reinforcement learning. Unlike supervised learning, in which an AI model learns from carefully labeled data, in unsupervised learning a trove of unlabeled data is fed into the neural network, which begins looking for patterns in that data without the help of labels. This is the method predominantly used to train large language models like GPT-3 and GPT-4, which rely on huge datasets of unlabeled text. One of the benefits of unsupervised learning is that it allows far larger quantities of data to be ingested, evading the bottlenecks on time and resources that marshaling teams of human labelers can impose on a machine learning project. However it also has drawbacks, like the increased likelihood of biases and harmful content being present in training data due to reduced human supervision. To minimize these problems, unsupervised learning is often used in conjunction with both supervised learning (for example, by building AI tools to detect and remove harmful content from a model’s outputs) and reinforcement learning, by which foundation models that were first trained unsupervised can be fine-tuned with human feedback. Value alignment See: Alignment
Weights See: Neural network X-risk X-risk, or existential risk, in the context of AI, is the idea that advanced artificial intelligence may be likely to cause human extinction. Even researchers who are working on building AI systems consider this a real possibility, on average believing that there is a 10% chance that human inability to control future advanced AIs would result in human extinction, according to a 2022 survey of 738 AI researchers. (See also: Intelligence explosion, Paperclips, Alignment.) Zero shot learning One of AI’s big limitations is that if something isn’t represented in a system’s training data, that system will often fail to recognize it. If a giraffe walks out onto the road, your self-driving car may not know to swerve to avoid it, because it has never seen one before. And if a school shooting is live-streamed on social media, the platform might struggle to remove it immediately because the footage doesn’t match copies of mass shootings it has seen before. Zero-shot learning is a nascent field that attempts to fix this problem, by working on AI systems that try to extrapolate from their training data in order to identify something they haven’t seen before. (See also: Supervised learning.)
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Write to Billy Perrigo at [email protected].
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| The A to Z of Artificial Intelligence | The A Z Artificial Intelligence Time TIME logo Connect Wallet Wallet Settings Disconnect Wallet MetaMask WalletConnect My Account Manage Account Digital Magazines r Benefits TIME Storefront Help Center Sign Out SUBSCRIBE FOR 19 TIME100 See Full List Close My Account Manage Account Digital Magazines r Benefits TIME Storefront Help Center Sign Out Sections Home U.S. Politics World Health Climate 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 TIME CO2 Red Border: Branded Content TIME Personal Finance TIME Stamped 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 Presented By Tech Artificial Intelligence The A Z Artificial Intelligence The A Z Artificial Intelligence Illustrations Lon Tweeten TIME By Billy Perrigo April 13, 2023 1:02 PM EDT As artificial intelligence larger world, easy lost sea jargon. But important bearings today. AI poised major impact job market coming years see: Automation. Discussions manage playing larger political conversation see: Regulation. And crucial concepts things wont taught school see: Competitive Pressure. Trying speed difficult. AI research complicated, lots language new researchers themselves. But theres reason public grapple big issues stake, like learned climate change internet. To help engage fully AI debate, TIME handy glossary common terminology. Whether youre complete beginner know GPTs AGIs, A Z designed public resource grappling power, promise, perils artificial intelligence. AGI AGI stands Artificial General Intelligencea hypothetical future technology perform economically productive tasks effectively human. Such technology able uncover new scientific discoveries, proponents believe. Researchers tend disagree AGI possible, is, far away remains. But OpenAI DeepMindthe worlds leading AI research organizationsare expressly committed building AGI. Some critics AGI little marketing term. See: Hype. Alignment The alignment problem profound longterm safety challenges AI. Todays AI capable overpowering designers. But day, researchers expect, be. In world, current ways training AIs result harming humanity, pursuit arbitrary goals, explicit strategy seek power expense. To reduce risk, researchers working aligning AI human values. But problem difficult, unsolved, fullyunderstood. Many critics work solve taking seat business incentives lure leading AI labs pouring focus computing power making AIs capable. See: Competitive pressure. Automation Automation historical process human labor replaced, assisted, machines. New technologiesor rather, people charge implementing themhave replaced human workers machines demand wage, car assemblyline workers grocery store clerks. The latest generation AI breakthroughs result whitecollar workers losing jobs, according recent paper OpenAI research Goldman Sachs. Nearly fifth U.S. workers half daily work tasks automated large language model, OpenAI researchers predicted. Globally, 300 million jobs automated decade, Goldman Sachs researchers predict. Whether productivity gains upheaval lead broadbased economic growth simply rise wealth inequality depend AI taxed regulated. See: Regulation. Bias Machine learning systems described biased decisions consistently prejudiced discriminatory. AIaugmented sentencing software recommend higher prison sentences Black offenders compared white ones, equal crimes. And facial recognition software works better white faces black ones. These failures happen data systems trained reflects social inequities. See: Data. Modern AIs essentially pattern replicators: ingest large amounts data neural network, learns spot patterns data. See: Neural network. If white faces black faces facial recognition dataset, past sentencing data indicates Black offenders sentenced longer prison terms white ones, machine learning systems learn wrong lessons, begin automating injustices. Chatbot Chatbots consumerfriendly interfaces built AI companies allow users engage LLM, large language model. Chatbots allow users simulate conversation LLM, effective way solicit answers questions. In late 2022, OpenAI launched ChatGPT, propelled chatbots mainstream, leading Google Microsoft attempt integrate chatbots web search offerings. Some researchers described AI companies irresponsible rushing chatbots reasons. Because simulate conversation, chatbots deceive users believing conversing sentient being, lead emotional distress. And chatbots hallucinate false information, parrot biases training data. See Hallucination Bias. ChatGPT produce inaccurate information people, places, facts, warning underneath textinput box states. Competitive Pressure Several worlds biggest tech companies, plus field startups, jostling launch powerful AI tools, allowing reap rewards venture capital investment, media attention, user signups. AI safety researchers worry creates competitive pressure incentive companies devote resources possible increasing power AIs, neglecting juvenile field alignment research. Some companies use competitive pressure argument devoting resources training powerful systems, reasoning AIs safer competitors. Competitive pressures led disastrous AI rollouts, rushedout systems like Microsofts Bing powered OpenAIs GPT4 displaying hostility users. They bode poorly future AI systems potentially powerful seek power. Read More: The AI Arms Race Is Changing Everything Compute Computing power, referred simply compute, important ingredients training machine learning system. For two, see: Data Neural networks. Compute effectively energy source powers neural network learns patterns training data. Generally speaking, computing power train large language model, higher performance different types test becomes. See: Scaling laws Emergent capabilities. Modern AI models require colossal amounts computing power, electrical energy, train. While AI companies typically disclose models carbon emissions, independent researchers estimated training OpenAIs GPT3 resulted 500 tons carbon dioxide pumped atmosphere, equal yearly emissions 35 U.S. citizens. As AI models larger, numbers going rise. The common chip training cuttingedge AI graphics processing unit GPU. Data Data essentially raw ingredient required create AI. Along Compute Neural networks, crucial ingredients training machine learning system. Huge troves data, known datasets, collected fed neural networks which, powered supercomputers, learn spot patterns. The data trained on, reliable predictions. But abundant data diverse, AIs draw false conclusions. The worlds powerful AI models trained colossal amounts data scraped internet. These huge datasets contain copyrighted material, opened companies like Stability AIthe maker Stable Diffusionup lawsuits allege AIs unlawfully reliant peoples intellectual property. And internet terrible place, large datasets contain toxic material like violence, pornography racism, whichunless scrubbed datasetcan lead AIs behave ways theyre supposed to. Data Labeling Often, human annotators required label, describe, data train machine learning system. In case selfdriving cars, example, human workers required annotate videos taken dashcams, drawing shapes cars, pedestrians, bicycles on, teach parts road which. This work outsourced precariouslyemployed contractors Global South, paid barelyabove poverty wages. Sometimes, work traumatizing, like case Kenyan workers required view label text describing violence, sexual content, hate speech, effort train ChatGPT avoid material. Diffusion New stateoftheart image generation tools like DallE Stable Diffusion based diffusion algorithms: specific kind AI design powered recent boom AIgenerated art. These tools trained huge datasets labeled images. Essentially, learn patterns pixels images, patterns relationships words them. The end result presented set words, like bear riding unicycle, diffusion model create image scratch. It stepbystep process, beginning canvas random noise, gradually changing pixels image closely resemble training data suggests bear riding unicycle look like. Diffusion algorithms advanced quickly easily generate photorealistic images. While tools like DallE Midjourney contain safeguards malicious prompts, opensource diffusion tools guardrails. The availability tools led researchers worry impact diffusion algorithms disinformation targeted harassment. Emergent capabilities When AI large language model shows unexpected abilities behaviors programmed creators, behaviors known emergent capabilities. New capabilities tend emerge AIs trained computing power data. A good example difference GPT3 GPT4. Those AIs based similar underlying algorithms; main difference GPT4 trained lot compute data. Research suggests GPT4 far capable model, ability write functional code, perform higher average human academic exams, correctly answer questions require complex reasoning theory mind. Emergent capabilities dangerous, especially discovered AI released world. See: Competitive pressure. For example, GPT4 displayed emergent ability deceive humans carrying tasks serve concealed goal, researchers recently discovered. Explainability Often, people build large language model explain precisely behaves does, outputs results millions complex mathematical equations. One highlevel way large language models behavior powerful autocomplete tools, excel predicting word sequence. When fail, fail lines reveal biases holes training data. See: Stochastic parrots. But explanation accurate descriptor tools are, fully explain LLMs behave strange ways do. When designers systems examine inner workings, series decimalpoint numbers, corresponding weights different neurons adjusted neural network training. Asking model gives specific output analogous asking human brain thinks specific thought specific moment. At crux nearterm risks, like AIs discriminating certain social groups, longerterm risks, like possibility AIs deceiving programmers appear dangerous truly are, inability worlds talented scientists explain exactly given AI behaves way doeslet explain change it. Foundation model As AI ecosystem grows, divide emerging large, powerful, generalpurpose AIs, known Foundation models base models, specific apps tools rely them. GPT3.5, example, foundation model. ChatGPT chatbot: application built GPT3.5, specific finetuning refuse dangerous controversial prompts. Foundation models unrestrained powerful, expensive train, rely huge quantities computing power large companies usually afford. Companies control foundation models set limits companies use downstream applicationsand charge like access. As AI increasingly central world economy, relatively large tech companies control foundation models appear poised outsized influence direction technology, plus collect dues kinds AIaugmented economic activity. GPT Perhaps famous acronym AI, barely anybody knows stands for. GPT short Generative Pretrained Transformer, essentially description type tool ChatGPT is. Generative means create new data, case text, likeness training data. Pretrained means model optimized based data, meaning need check original training data time prompted. And Transformer powerful type neural network algorithm especially good learning relationships long strings data, instance sentences paragraphs. GPU GPUs, graphics processing units, type chip happen effective training large AI models. AI labs like OpenAI DeepMind use supercomputers GPUs, similar chips, train models. Often, supercomputers provided business partnerships tech giants possess established infrastructure. Part Microsofts investment OpenAI includes access supercomputers; DeepMind similar relationship parent company Alphabet. In late 2022, Biden Administration restricted sale China powerful GPUs, commonly training highend AI systems, amid rising anxieties Chinas authoritarian government leverage AI U.S. new cold war. Hallucination One glaring flaws large language models, chatbots rely them, tendency hallucinate false information. Tools like ChatGPT shown return nonexistent articles citations claims, nonsensical medical advice, false details individuals. Public demonstrations Microsofts Bing Googles Bard chatbots later contain confident assertions false information. Hallucination happens LLMs trained repeat patterns training data. While training data includes books spanning history literature science, statement mixes matches exclusively corpora necessarily accurate. To add chaos, LLM datasets tend include gigabytes gigabytes text web forums like Reddit, standards factual accuracy are, needless say, lower. Preventing hallucinations unsolved problemand causing plenty headaches tech companies trying boost public trust AI. Hype A central problem public discussion AI, according popular school thought, role hypeor tendency AI labs mislead public exaggerating capabilities models, anthropomorphizing them, stoking fears AI apocalypse. This form misdirection, argument goes, distracts attentionincluding regulatorsfrom real ongoing harms AI marginalized communities, workers, information ecosystem, economic equality. We agree role adjust priorities privileged individuals decide build proliferate, recent letter prominent researchers, critics AI hype, states. We building machines work us. Intelligence explosion The intelligence explosion hypothetical scenario AI, reaching certain level intelligence, able exercise power training, rapidly gaining power intelligence improves itself. In versions idea, humans lose control AI many, humanity goes extinct. Also known singularity recursive self improvement, idea reason people, including AI developers, existentially worried current pace AI capability increases. Job replacement See: Automation Large language model When people talk recent AI advancements, time theyre talking large language models LLMs. OpenAIs GPT4 Googles BERT examples prominent LLMs. They essentially giant AIs trained huge quantities human language, sourced books internet. These AIs learn common patterns words datasets, so, surprisingly good reproducing human language. The data computing power LLMs trained on, novel tasks tend able achieve. See: Emergent capabilities Scaling laws. Recently, tech companies begun launching chatbots, like ChatGPT, Bard, Bing, allow users interact LLMs. Although capable tasks, language models prone severe problems like Biases Hallucinations. Lobbying Like businesses, AI companies employ lobbyists present halls power, influencing lawmakers charge AI Regulation ensure new rules adversely impact business interests. In Europe, text draft AI Act discussed, industry body representing AI companies including Microsoft OpenAIs biggest investor argued penalties risky deployment AI primarily apply AI company built Foundation model like GPT4 risks ultimately stem from, downstream company licenses model applies risky usecase. AI companies plenty softpower influence, too. In Washington, White House weighs new policies tackle risks AI, President Biden reportedly tasked foundation Googles CEO Eric Schmidt advising administration technology policy. Machine learning Machine learning term describes modern AI systems created. It describes techniques building systems learn large amounts data, opposed classical computing, programs hardcoded follow specified set instructions written programmer. By far influential family machine learning algorithms neural network. Model The word model shorthand singular AI system, foundation model app built one. Examples AI models include OpenAIs ChatGPT GPT4, Googles Bard LaMDA, Microsofts Bing, Metas LLaMA. Moores Law Moores law longstanding observation computing, coined 1965, number transistors fit chipa good proxy computing powergrows exponentially, doubling approximately years. While argue Moores law dead strictest definition, yearonyear advances microchip technology resulting steep rise power worlds fastest computers. In turn, means time goes on, AI companies tend able leverage larger larger quantities computing power, making cutting edge AI models consistently powerful. See: Scaling laws. Multimodal A multimodal kind AI model receive type media inputlike text imageryand output type signal. Examples multimodal systems include DeepMinds Gato, publicly released yet. According company, Gato engage dialog like chatbot, play video games send instructions robotic arm. OpenAI conducted demonstrations showing GPT4 multimodal, ability read text input image, functionality currently available public use. Multimodal systems allow AI act directly worldwhich bring added risks, especially model misaligned. Neural Network Neural networks far influential family machine learning algorithms. Designed mimic way human brain structured, neural networks contain nodesanalogous neurons brainthat perform calculations numbers passed connective pathways them. Neural networks thought inputs training data outputs predictions classifications. During training, large quantities data fed neural network, then, process requires large quantities computing power, repeatedly tweaks calculations nodes. Via clever algorithm, tweaks specific direction, outputs model increasingly resemble patterns original data. When computing power available train system, nodes, allowing identification abstract patterns. More compute means pathways nodes time approach optimal values, known weights, leading outputs faithfully represent training data. Open sourcing Opensourcing practice making designs programs including AI models freely accessible internet. It common tech companies opensource foundation models models powerful, economically valuable, potentially dangerous. However, growing community independent programmers working opensource AI models. The opensourcing AI tools possible public directly interact technology. But allow users safety restraints imposed companies protect reputations, lead additional risks, example bad actors abusing imagegeneration tools target women sexualized deepfakes. In 2022, DeepMind CEO Demis Hassabis told TIME believed risk AI meant industrys culture publishing findings openly soon need end, 2023, OpenAI broke convention declined release information exactly GPT4 trained, citing competitive pressures risk enabling bad actors. Some researchers criticized practices, however, arguing reduce public oversight worsen problem AI Hype. Paperclips The innocuous paperclip taken outsized meaning sections AI safety community. It subject paperclip maximizer, influential thought experiment existential risk AI pose humanity. Imagine AI programmed carry singular goal maximizing number paperclips produces, thought experiment goes. All good, AI gains ability augment abilities see: Intelligence explosion. The AI reason order produce paperclips, prevent humans able switch off, reduce number paperclips able produce. Safe human interference, AI decide harness power raw materials disposal build paperclip factories, razing natural environments human civilization alike. The thought experiment illustrates surprising difficulty aligning AI seemingly simple goal, let complex set human values. Quantum computing Quantum experimental field computing seeks use quantum physics supercharge number calculations possible second. That added computing power help increase size cuttingedge AI models, implications power systems societal impact. Redistribution The CEOs worlds leading AI labs, OpenAI DeepMind, claimed like profits arising artificial general intelligence redistributed, part. DeepMind CEO Demis Hassabis told TIME 2022 favors idea universal basic income, benefits AI accrue people possibleto humanity, ideally. OpenAI CEO Sam Altman written expectation AI automation drive labor costs down, called redistribution wealth arising AI, higher taxes land capital gains. Neither CEO said redistribution begin, wideranging be. OpenAIs charter says primary fiduciary duty humanity doesnt mention redistributing wealth; DeepMinds parent company Alphabet public corporation legal responsibility act financial shareholders. Red teaming Redteaming method stresstesting AI systems publicly deployed. Groups professionals red teams purposely attempt AI behave undesirable ways, test systems wrong public. Their findings, followed, help tech companies address problems launch. Regulation There bespoke legislation U.S. addresses risks posed artificial intelligence. The Biden Administration issued blueprint AI rights 2022, welcomes AIdriven progress science health says AI exacerbate existing inequalities, discriminate, impact privacy, act people knowledge. But blueprint legislation, legally binding. Over Europe, European Union considering draft AI Act impose stricter rules systems riskier considered be. On sides Atlantic, regulation progressing slower pace speed AI advancementand significant global jurisdiction currently rules place force AI companies meet specified level safety testing releasing models public. The question asking artificial intelligenceand new technologyis private corporations allowed run uncontrolled experiments entire population guardrails safety nets, wrote Roger McNamee, Silicon Valley investorturnedcritic, recently TIME. Should legal corporations release products masses demonstrating products safe? Reinforcement learning human feedback Reinforcement learning method optimizing AI rewarding desirable behaviors penalizing undesirable ones. This performed human workers deployed users released public rate outputs neural network qualities like helpfulness, truthfulness, offensiveness. When humans involved process, called reinforcement learning human feedback RLHF. RLHF currently OpenAIs favored methods solving Alignment problem. However, researchers raised concerns RLHF fully change systems underlying behaviors, instead making powerful AI systems appear polite helpful surface. See: Shoggoth. Reinforcement learning pioneered DeepMind, successfully technique train gameplaying AIs like AlphaGo perform higher level human masters. Scaling laws Simply put, scaling laws state models performance increases line training data, computing power, size neural network. That means possible AI company accurately predict training large language model exactly computing power data likely need given level competence at, say, highschoollevel written English test. Our ability kind precise prediction unusual history software unusual history modern AI research, wrote Sam Bowman, technical researcher AI lab Anthropic, recent preprint paper. It powerful tool driving investment allows [research development] teams propose modeltraining projects costing millions dollars, reasonable confidence projects succeed producing economically valuable systems. Shoggoth A prominent meme AI safety circles likens Large language models LLMs shoggothsincomprehensibly dreadful alien beasts originating universe 20th century horror writer H.P. Lovecraft. The meme took BingSydney debacle early 2023, Microsofts Bing chatbot revealed strange, volatile alter ego abused threatened users. In meme, critical technique Reinforcement learning human feedback RLHF, LLMs depicted shoggoths wearing small smileyface mask. The mask intended represent friendly flimsy personality models greet users with. The implication meme RLHF results friendly surfacelevel personality, little change underlying alien nature LLM. These systems, powerful, alien, Connor Leahy, CEO AI safety company Conjecture, told TIME February. If anything, putting nice little mask smiley face. If dont push far, smiley face stays on. But [an unexpected] prompt, suddenly massive underbelly insanity, weird thought processes clearly nonhuman understanding. Stochastic Parrots Coined 2020 research paper, term stochastic parrots influential criticism large language models. The paper case LLMs simply powerful prediction engines attempt inor parrot backthe word sequence based patterns training data, representing true intelligence. The authors paper criticized trend AI companies rushing train LLMs larger larger datasets scraped internet, pursuit perceived advances coherence linguistic capability. That approach, paper argued, carries risks including LLMs taking biases toxicity internet whole. Marginalized communities, authors wrote, biggest victims race. The paper foregrounded criticism environmental cost training AI systems. See: Compute. Supervised learning Supervised learning technique training AI systems, neural network learns predictions classifications based training dataset labeled examples. See: Data labeling. The labels help AI associate, example, word cat image cat. With labeled examples cats, look new image cat present training data correctly identify it. Supervised learning useful building systems like selfdriving cars, need correctly identify hazards roads, content moderation classifiers, attempt remove harmful content social media. These systems struggle encounter things represented training data; case selfdriving cars especially, mishaps deadly. See also: Unsupervised learning Reinforcement learning. Training See: Neural Network Turing Test In 1950, scientist Alan Turing set answer question: Can machines think? To out, devised test called imitation game: convince human talking human, machine? The Turing test, known, slapdash way assessing machine intelligence. If pass test, said thinkif way human, way help humanity kinds helpful things. In recent years, chatbots powerful, capable passing Turing test. But, designers plenty AI ethicists warn, mean think way comparable human. Turing, writing invention personal computer, seeking answer philosophical question human thinking is, inner lives replicated machine; instead making argument that, time, radical: digital computers possible, reasons believe that, given right design power, wont day able carry kinds tasks sole preserve humanity. Unsupervised learning Unsupervised learning main ways neural network trained, Supervised learning Reinforcement learning. Unlike supervised learning, AI model learns carefully labeled data, unsupervised learning trove unlabeled data fed neural network, begins looking patterns data help labels. This method predominantly train large language models like GPT3 GPT4, rely huge datasets unlabeled text. One benefits unsupervised learning allows far larger quantities data ingested, evading bottlenecks time resources marshaling teams human labelers impose machine learning project. However drawbacks, like increased likelihood biases harmful content present training data reduced human supervision. To minimize problems, unsupervised learning conjunction supervised learning example, building AI tools detect remove harmful content models outputs reinforcement learning, foundation models trained unsupervised finetuned human feedback. Value alignment See: Alignment Weights See: Neural network Xrisk Xrisk, existential risk, context AI, idea advanced artificial intelligence likely cause human extinction. Even researchers working building AI systems consider real possibility, average believing 10 chance human inability control future advanced AIs result human extinction, according 2022 survey 738 AI researchers. See also: Intelligence explosion, Paperclips, Alignment. Zero shot learning One AIs big limitations isnt represented systems training data, fail recognize it. If giraffe walks road, selfdriving car know swerve avoid it, seen before. And school shooting livestreamed social media, platform struggle remove immediately footage doesnt match copies mass shootings seen before. Zeroshot learning nascent field attempts fix problem, working AI systems try extrapolate training data order identify havent seen before. See also: Supervised learning. More MustReads From TIME Meet TIME100: The Most Influential People 2023 How We Chose List Jennifer Coolidge Has Some Advice You How Doja Cat Ripped Off Her Shell Bob Iger Ron DeSantis, Creativity, Future Disney Michael B. Jordan Worked Through Some Personal Sht With Creed III Salman Rushdie Is Recovering, Reflecting, Writing After Attack His Life The Mysteries Biggest Intel Leak Decade Who Has Most Gain From That Succession Death? 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https://timesofindia.indiatimes.com/city/goa/ai-bots-trained-dogs-lifesavers-to-ensure-safety-of-triathletes-at-ironman-70-3-india-at-miramar-beach/articleshow/104366869.cms | 2023-10-12T00:00:00 | en | World Cup: AI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beach | Goa News - Times of India | World Cup: AI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beach | Goa News - Times of IndiaEditionININUSSign InTOICitygoamumbaidelhibengaluruHyderabadkolkatachennaiagraagartalaahmedabadajmerallahabadamaravatiamritsaraurangabadbareillybhubaneswarbhopalchandigarhcoimbatorecuttackdehradunerodefaridabadghaziabadgurgaonguwahatihubballiimphalindoreitanagarjaipurjammujamshedpurjodhpurkanpurkochikohimakolhapurkozhikodeludhianalucknowmaduraimangalurumeerutmumbai regionmysurunagpurnashiknavi mumbainoidapatnapuducherrypuneraipurrajkotranchithanesalemshillongshimlasrinagarsurattrichythiruvananthapuramudaipurvadodaravaranasivijayawadavisakhapatnamphotosWeb Storiescivic issuescrimepoliticsschool and collegesgoa electionsphotosweathereventsNewsCity Newsgoa NewsAI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beachTrendingBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians in IsraelDelhi Car AccidentBihar Special TrainBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians in IsraelDelhi Car AccidentBihar Special TrainBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians in IsraelDelhi Car AccidentBihar Special TrainAI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beach Oct 12, 2023, 14:12 ISTShareAA+Text SizeSmallMediumLargeFollow us You're readingAI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beachBecome a corporate leader with IIM Kozhikode's Advanced Strategic Management ProgrammeTourism magnified at Don Bosco College, PanajiMulgaon locals live in fear of leopard AI-powered robots, specially trained rescue dogs and more than fifty lifesavers will keep vigil over triathletes participating in the IRONMAN 70.3 India, when they dive into the Arabian sea off Miramar beach in Goa as part of the first leg of the endurance race on October 8 (Sunday). The three-tier safety back up for the opening leg of India’s biggest endurance race with participants from 30 countries across the globe, has been provided by Drishti Marine, a state government appointed lifesaving agency, which is tasked with preventing drowning and tackling other emergencies along the state’s coastline. According to Navin Awasthi, chief executive officer of Drishti Marine, a 55-strong lifesaving force will be deployed for safety of the participants in the IRONMAN 70.3 India race, along with five jetskis, surfboards, two jeeps and two boats which will be on standby for emergencies. Two canines from the lifesaving agency’s ‘Paw Squad’, who are highly trained in beach safety will also be posted at Miramar when the first leg of the race begins, with a 1.9 km swim in the waters off the beach. Drishti Marine will also deploy its state-of-the-art technology, AURUS and TRITON for the safety of the athletes. AURUS is a self-driving robot developed by Drishti Marine, while TRITON's onboard AI monitors non-swim zones, identifies threats and assists lifesavers in preventing mishaps. Together, AURUS and TRITON provide comprehensive beach safety coverage. “We are proud to provide the necessary safety support for the third time running to the prestigious triathlon which brings in participants from all over India and the world. Our lifesavers are well equipped to handle any emergency situations. In addition, we will be deploying our AI bots, AURUS and TRITON for the first time. Two trained dogs from our Paw Squad will also be posted at Miramar beach for comprehensive support,” Awasthi said. Canines in the Paw Squad are outfitted with a harness and rescue tube and the dogs are trained to spot a victim in distress in the water, swim to the victim, enable him/her to grab the rescue tube and swim back to shore with the victim in tow. The canines are undergoing 26 months of rigorous training at a state-of-the-art dog training facility set up by Drishti Marine at its Lifesaver Training Centre in Sinquerim.IRONMAN 70.3 INDIA is a triathlon endurance event with the 70.3 referring to the total distance in miles which is 113 km covered in the race, consisting of 1.9 km (1.2 mile) swim, a 90 km (56-mile) cycling ride, and a 21.1 km (13.1-mile) run. The race has attracted 50 plus countries over the 3 editions.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous10 drinks for strong bones that are better than supplementsFoodCountries where no Indians liveLifestyle7 habits of happy peopleLifestyleAmala Paul's captivating sarees for this festive seasonEntertainmentRare pictures of Rekha, the evergreen beautyEntertainmentFrom Mehendi to Mayun: Mahira Khan's stunning wedding looksLifestyle8 most beautiful moons of the universeLifestyleIndia’s most picturesque villagestravelDiscover Europe's hidden gemstravel8 beautiful images of planets captured by NASALifestyle Next123ElectionsAssembly Election DatesTelangana Election 2023 DateMizoram Election DatesMadhya Pradesh ElectionsRajasthan Election Date 2023Chhattisgarh Election DatesTOP TRENDSIsrael Hamas War NewsBihar Train Accident NewsShubman GillAustralia vs South Africa Live ScoreOperation AjayIsrael Palestine ConflictTrending StoriesIn CityEntire WebsiteLive: At least 4 killed as train derails in Bihar; 'rescue op under way on war footing'2016 Pathankot attack handler shot dead in Pakistan mosqueMaking all efforts to evacuate students from Israel, says govtEC to announce poll schedule of 5 states todayArmed forces sealed Rs 23.5k cr deals in last 1yr amid LAC rowYogi: Like Ram Janmabhoomi, Sindhu can be taken back too9 more bodies of Sikkim flood victims wash ashore, toll 82Photos: Panic in Delhi-NCR as earthquake tremors feltStrong tremors felt in Delhi-NCR, parts of north India after 6.2 earthquake jolts NepalLive: PM Modi slams Congress over caste reservation demandLive: No electricity, fuel, water for Gaza until hostages freed, Israel saysCanada official won't attend G20 event in India this weekHow this 5,000-year-old martial art changed my perspectiveAUS vs SA Live: Australia opt to field vs South AfricaSummit between PM Modi, Putin likely this yearBJP's 'explosive' 5th list in MP may drop 25-30 sitting MLAsWhy the Supreme Court called ED 'vindictive'WC: Tips to save data while watching India-Pak match onlinePM Modi offers prayers, blows conch shell at Parvati KundWhy TCS wants employees to return to officeAbout 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 WebHappy HabitsRekhaVegetarian SaladVishnu DashavatarRelationships TipsIndian WomenParenting TipsIconic SandwichesMimi ChakrabortyPlanet ImagesTop TrendsIsrael Hamas War NewsBihar Train Accident NewsShubman GillAustralia vs South Africa Live ScoreOperation AjayIsrael Palestine ConflictModi in UttarakhandNorth East Express AccidentIsrael Palestine War ReasonIndians in IsraelMumbai Ahmedabad Special TrainsChhattisgarh Election DatesTelangana Election Date 2023Madhy Pradesh Election Date 2023Rajasthan Election Date 2023ICC ODI World Cup 2023ICC World Cup 2023 Points TableICC World Cup Schedule 2023Trending TopicsZodiac SignsWeight LossTooth PainLiver SignsHina KhanBangladeshi SariDeepika PadukonePoonam BajwaTan Remove At HomeAuthors Born In OctoberNayantharaRaima SenShreya GhoshalVivek AgnihotriArjun KapoorTamannaah BhatiaVivo 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 | World Cup: AI bots, trained dogs, lifesavers to ensure safety of triathletes at IRONMAN 70.3 India at Miramar beach | World Cup: AI bots, trained dogs, lifesavers ensure safety triathletes IRONMAN 70.3 India Miramar beach Goa News Times IndiaEditionININUSTOICitygoamumbaidelhibengaluruHyderabadkolkatachennaiagraagartalaahmedabadajmerallahabadamaravatiamritsaraurangabadbareillybhubaneswarbhopalchandigarhcoimbatorecuttackdehradunerodefaridabadghaziabadgurgaonguwahatihubballiimphalindoreitanagarjaipurjammujamshedpurjodhpurkanpurkochikohimakolhapurkozhikodeludhianalucknowmaduraimangalurumeerutmumbai regionmysurunagpurnashiknavi mumbainoidapatnapuducherrypuneraipurrajkotranchithanesalemshillongshimlasrinagarsurattrichythiruvananthapuramudaipurvadodaravaranasivijayawadavisakhapatnamphotosWeb Storiescivic issuescrimepoliticsschool collegesgoa electionsphotosweathereventsNewsCity Newsgoa NewsAI bots, trained dogs, lifesavers ensure safety triathletes IRONMAN 70.3 India Miramar beachTrendingBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians IsraelDelhi Car AccidentBihar Special TrainBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians IsraelDelhi Car AccidentBihar Special TrainBihar Train Accident NewsKerala Lottery ResultMumbai Ahmedabad Special TrainsIndians IsraelDelhi Car AccidentBihar Special TrainAI bots, trained dogs, lifesavers ensure safety triathletes IRONMAN 70.3 India Miramar beach Oct 12, 2023, 14:12 ISTShareAAText SizeSmallMediumLargeFollow Youre readingAI bots, trained dogs, lifesavers ensure safety triathletes IRONMAN 70.3 India Miramar beachBecome corporate leader IIM Kozhikodes Advanced Strategic Management ProgrammeTourism magnified Don Bosco College, PanajiMulgaon locals live fear leopard AIpowered robots, specially trained rescue dogs lifesavers vigil triathletes participating IRONMAN 70.3 India, dive Arabian sea Miramar beach Goa leg endurance race October 8 Sunday. The threetier safety opening leg Indias biggest endurance race participants 30 countries globe, provided Drishti Marine, state government appointed lifesaving agency, tasked preventing drowning tackling emergencies states coastline. According Navin Awasthi, chief executive officer Drishti Marine, 55strong lifesaving force deployed safety participants IRONMAN 70.3 India race, jetskis, surfboards, jeeps boats standby emergencies. Two canines lifesaving agencys Paw Squad, highly trained beach safety posted Miramar leg race begins, 1.9 swim waters beach. Drishti Marine deploy stateoftheart technology, AURUS TRITON safety athletes. AURUS selfdriving robot developed Drishti Marine, TRITONs onboard AI monitors nonswim zones, identifies threats assists lifesavers preventing mishaps. Together, AURUS TRITON provide comprehensive beach safety coverage. We proud provide necessary safety support time running prestigious triathlon brings participants India world. Our lifesavers equipped handle emergency situations. In addition, deploying AI bots, AURUS TRITON time. Two trained dogs Paw Squad posted Miramar beach comprehensive support, Awasthi said. Canines Paw Squad outfitted harness rescue tube dogs trained spot victim distress water, swim victim, enable himher grab rescue tube swim shore victim tow. The canines undergoing 26 months rigorous training stateoftheart dog training facility set Drishti Marine Lifesaver Training Centre Sinquerim.IRONMAN 70.3 INDIA triathlon endurance event 70.3 referring total distance miles 113 covered race, consisting 1.9 1.2 mile swim, 90 56mile cycling ride, 21.1 13.1mile run. The race attracted 50 plus countries 3 editions.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous10 drinks strong bones better supplementsFoodCountries Indians liveLifestyle7 habits happy peopleLifestyleAmala Pauls captivating sarees festive seasonEntertainmentRare pictures Rekha, evergreen beautyEntertainmentFrom Mehendi Mayun: Mahira Khans stunning wedding looksLifestyle8 beautiful moons universeLifestyleIndias picturesque villagestravelDiscover Europes hidden gemstravel8 beautiful images planets captured NASALifestyle Next123ElectionsAssembly Election DatesTelangana Election 2023 DateMizoram Election DatesMadhya Pradesh ElectionsRajasthan Election Date 2023Chhattisgarh Election DatesTOP TRENDSIsrael Hamas War NewsBihar Train Accident NewsShubman GillAustralia vs South Africa Live ScoreOperation AjayIsrael Palestine ConflictTrending StoriesIn CityEntire WebsiteLive: At 4 killed train derails Bihar; rescue op way war footing2016 Pathankot attack handler shot dead Pakistan mosqueMaking efforts evacuate students Israel, says govtEC announce poll schedule 5 states todayArmed forces sealed Rs 23.5k cr deals 1yr amid LAC rowYogi: Like Ram Janmabhoomi, Sindhu taken too9 bodies Sikkim flood victims wash ashore, toll 82Photos: Panic DelhiNCR earthquake tremors feltStrong tremors felt DelhiNCR, parts north India 6.2 earthquake jolts NepalLive: PM Modi slams Congress caste reservation demandLive: No electricity, fuel, water Gaza hostages freed, Israel saysCanada official wont attend G20 event India weekHow 5,000yearold martial art changed perspectiveAUS vs SA Live: Australia opt field vs South AfricaSummit PM Modi, Putin likely yearBJPs explosive 5th list MP drop 2530 sitting MLAsWhy Supreme Court called ED vindictiveWC: Tips save data watching IndiaPak match onlinePM Modi offers prayers, blows conch shell Parvati KundWhy TCS wants employees return officeAbout 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 WebHappy HabitsRekhaVegetarian SaladVishnu DashavatarRelationships TipsIndian WomenParenting TipsIconic SandwichesMimi ChakrabortyPlanet ImagesTop TrendsIsrael Hamas War NewsBihar Train Accident NewsShubman GillAustralia vs South Africa Live ScoreOperation AjayIsrael Palestine ConflictModi UttarakhandNorth East Express AccidentIsrael Palestine War ReasonIndians IsraelMumbai Ahmedabad Special TrainsChhattisgarh Election DatesTelangana Election Date 2023Madhy Pradesh Election Date 2023Rajasthan Election Date 2023ICC ODI World Cup 2023ICC World Cup 2023 Points TableICC World Cup Schedule 2023Trending TopicsZodiac SignsWeight LossTooth PainLiver SignsHina KhanBangladeshi SariDeepika PadukonePoonam BajwaTan Remove At HomeAuthors Born In OctoberNayantharaRaima SenShreya GhoshalVivek AgnihotriArjun KapoorTamannaah BhatiaVivo 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 | 2,023 | [
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https://timesofindia.indiatimes.com/gadgets-news/elon-musk-may-be-working-on-creating-a-chatgpt-rival/articleshow/99506887.cms | 2023-04-15T00:00:00 | en | Musk: Elon Musk may be working on creating a ChatGPT rival - Times of India | Musk: Elon Musk may be working on creating a ChatGPT rival - Times of IndiaEditionININUSSign InTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsElon Musk may be working on creating a ChatGPT rivalTrending TopicsTwitter tweet limit46,000 job in TCSCall forwarding scamsElon MuskWhat is Auto-GPTInstagram professional accountVivo X90Just CorsecaTwitter tweet limit46,000 job in TCSCall forwarding scamsElon MuskWhat is Auto-GPTInstagram professional accountVivo X90Just CorsecaTwitter tweet limitElon Musk may be working on creating a ChatGPT rivalTIMESOFINDIA.COM / Updated: Apr 15, 2023, 08:40 ISTShareAA+Text SizeSmallMediumLargeYou're readingElon Musk may be working on creating a ChatGPT rivalGarmin India announces Summer sale: Price, offers and moreSamsung Galaxy M14 5G to launch in India on April 17: What to expectEuropean Data Protection Board launches ChatGPT Task ForceIf reports are to be believed then Musk’s latest plan is an AI startup, which will compete with the likes of OpenAI.It is a rather well-known fact that Elon Musk was one of the co-founders of OpenAI, the company behind ChatGPT. However, a few years after co-founding it, Musk walked away as he wanted the company to be a “non-profit”. Now, if reports are to be believed then Musk’s latest plan is an AI startup, which will compete with the likes of OpenAI. A report by The Wall Street Journal states the company is called X.AI. Further, a report by The Verge reveals that the company was founded on March 9, 2023. According to a report by The Financial Times, Musk’s plan is already in motion and the startup has hired researchers and engineers. The startup, as per the report, is hiring from top AI firms from across the world. Furthermore, the report also states that Musk has already purchased “thousands” of Nvidia GPU processors, which are critical in creating large language models on which ChatGPT is based.In fact, in a recent Twitter Spaces, Musk confirmed the purchased without getting into details. “It seems like everyone and their dog is buying GPUs at this point,” Musk said. “Twitter and Tesla are certainly buying GPUs,” he said. Musk hasn’t spoken about this, so other details are still not known about the startup. Musk’s ‘worry’ over use of AIThe Tesla CEO has been vocal in the past about use of AI. In the past, he has termed AI as “one of the biggest risks to civilisation”. Musk was speaking at World Government Summit in Dubai earlier this year and stressed on the positive and negative aspect of it.“It’s both positive or negative and has great, great promise, great capability,” Musk said. However, he did warn “with that comes great danger.”Google CEO Sundar Pichai also in an interview said that many years ago he had spoken to Musk about AI and how the Tesla CEO was concerned about AI. In fact, Musk was one of the signatories to a letter that raised the issues around AI and urged to ‘pause’ the development.Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Asus ROG Phone 7 vs Asus ROG Phone 6: How the two compareGadgets10 summer gadgets to keep you coolGadgetsXiaomi launches new smart TV, robotic vacuum cleaner, and more smart home productsGadgets10 sensors in your smartphone and what they doGadgetsHow to schedule a message on TelegramGadgets9 signs to replace your fridgeGadgetsWireless headphones with mic under Rs 3,000Gadgets10 5G smartphones with triple camera under Rs 20,000GadgetsDell’s first Alienware Experience Centre in India has opened: Key highlightsGadgetsGames coming to PS Plus Game Catalog in April 2023Gadgets123ElectionsB Y VijayendraKarnataka Election NewsB S YediyurappaKarnataka Election DateKarnataka Elections 2023Congress Candidates List 2023 KarnatakaKarnataka BJP Candidates List 2023Elections 2023TOP TRENDSKKR vs SRH Live ScoreAtiq Ahmad SonArvind KejriwalHeat Wave in IndiaIPL Live ScoreAsad Ahmed EncounterTrending StoriesIn TechEntire WebsiteAtiq Ahmed's son had two bullet injuries: Postmortem reportKarnataka: Rebellion may hurt BJP prospects in some seatsCBI summons Kejriwal in excise policy case; conspiracy to arrest Delhi CM, claims AAP‘Amritpal Singh Wanted’ posters come up at Attari ICPLive: PM Modi dedicates AIIMS Guwahati to nationUmesh Pal murder: A 50-day chase that ended in Asad's encounterHow Umesh Pal’s murder escalated gangster-turned politician Atiq Ahmad’s downfallPM Modi speaks to UK PM Rishi Sunak over phoneAsad Ahmad encounter: How 'Operation Jhansi' was planned and executedWho was Asad, gangster Atiq's son killed in encounter20 Covid deaths in a day, highest in 6 months, active cases top 50,000'Gangster Atiq confessed to plotting Umesh Pal murder'How cops rescued man who climbed high-voltage towerWhy HCs must lead lower courts to encourage bail not jailChoksi can't be removed from Antigua & Barbuda sans court orderIPL: RCB face DC in battle of the strugglersShort explainer on why very short skirts are a big deal8 killed after bus falls into gorge in Maharashtra's RaigadIndia's first underwater metro successfully runs under Hooghly riverCBI summons Delhi CM Kejriwal tomorrow in excise caseAbout 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 WebShaakuntalam Movie ReviewParenting TipsRudhran Movie ReviewAnushka SharmaIndian Street FoodPuthandu 2023 WishesParenting TipsBaisakhi QuotesKatrina KaifStreet FoodTop TrendsKKR vs SRH Live ScoreAtiq Ahmad SonArvind KejriwalHeat Wave in IndiaIPL Live ScoreAsad Ahmed EncounterAtiq AhmedDelhi Electricity SubsidyCovid Cases in IndiaKarnataka Election NewsCoronavirus India LiveNorth Korea Missile testTANCET Result 2023Indonesia EarthquakeBank Holidays in AprilKarnataka Elections 2023IPL Schedule 2023IPL 2023 Points TableTrending TopicsShaakuntalam Movie ReviewRongali Bihu WishesAmbedkar Jayanti 2023 WishesRudhran ReviewBest Places In IndiaRongali Bihu MessagesShakuntala ReviewDesi DishesVaiskhi WishesTmail New Year WishesBaisakhi WishesAmbedkar Jayanti WishesAkshara SinghIndian FoodShehnaaz GillSalman KhanVivo 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. Ltd. All rights reserved. For reprint rights: Times Syndication Service | Musk: Elon Musk may be working on creating a ChatGPT rival | Musk: Elon Musk working creating ChatGPT rival Times IndiaEditionININUSTOITechGadgets NewsTech NewsGadgetsReviewsTop GadgetsSlideshowsVideosHow toFeaturedNewsGadgets News NewsElon Musk working creating ChatGPT rivalTrending TopicsTwitter tweet limit46,000 job TCSCall forwarding scamsElon MuskWhat AutoGPTInstagram professional accountVivo X90Just CorsecaTwitter tweet limit46,000 job TCSCall forwarding scamsElon MuskWhat AutoGPTInstagram professional accountVivo X90Just CorsecaTwitter tweet limitElon Musk working creating ChatGPT rivalTIMESOFINDIA.COM Updated: Apr 15, 2023, 08:40 ISTShareAAText SizeSmallMediumLargeYoure readingElon Musk working creating ChatGPT rivalGarmin India announces Summer sale: Price, offers moreSamsung Galaxy M14 5G launch India April 17: What expectEuropean Data Protection Board launches ChatGPT Task ForceIf reports believed Musks latest plan AI startup, compete likes OpenAI.It wellknown fact Elon Musk cofounders OpenAI, company ChatGPT. However, years cofounding it, Musk walked away wanted company nonprofit. Now, reports believed Musks latest plan AI startup, compete likes OpenAI. A report The Wall Street Journal states company called X.AI. Further, report The Verge reveals company founded March 9, 2023. According report The Financial Times, Musks plan motion startup hired researchers engineers. The startup, report, hiring AI firms world. Furthermore, report states Musk purchased thousands Nvidia GPU processors, critical creating large language models ChatGPT based.In fact, recent Twitter Spaces, Musk confirmed purchased getting details. It like dog buying GPUs point, Musk said. Twitter Tesla certainly buying GPUs, said. Musk spoken this, details known startup. Musks worry use AIThe Tesla CEO vocal past use AI. In past, termed AI biggest risks civilisation. Musk speaking World Government Summit Dubai earlier year stressed positive negative aspect it.Its positive negative great, great promise, great capability, Musk said. However, warn comes great danger.Google CEO Sundar Pichai interview said years ago spoken Musk AI Tesla CEO concerned AI. In fact, Musk signatories letter raised issues AI urged pause development.Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Asus ROG Phone 7 vs Asus ROG Phone 6: How compareGadgets10 summer gadgets coolGadgetsXiaomi launches new smart TV, robotic vacuum cleaner, smart home productsGadgets10 sensors smartphone doGadgetsHow schedule message TelegramGadgets9 signs replace fridgeGadgetsWireless headphones mic Rs 3,000Gadgets10 5G smartphones triple camera Rs 20,000GadgetsDells Alienware Experience Centre India opened: Key highlightsGadgetsGames coming PS Plus Game Catalog April 2023Gadgets123ElectionsB Y VijayendraKarnataka Election NewsB S YediyurappaKarnataka Election DateKarnataka Elections 2023Congress Candidates List 2023 KarnatakaKarnataka BJP Candidates List 2023Elections 2023TOP TRENDSKKR vs SRH Live ScoreAtiq Ahmad SonArvind KejriwalHeat Wave IndiaIPL Live ScoreAsad Ahmed EncounterTrending StoriesIn TechEntire WebsiteAtiq Ahmeds son bullet injuries: Postmortem reportKarnataka: Rebellion hurt BJP prospects seatsCBI summons Kejriwal excise policy case; conspiracy arrest Delhi CM, claims AAPAmritpal Singh Wanted posters come Attari ICPLive: PM Modi dedicates AIIMS Guwahati nationUmesh Pal murder: A 50day chase ended Asads encounterHow Umesh Pals murder escalated gangsterturned politician Atiq Ahmads downfallPM Modi speaks UK PM Rishi Sunak phoneAsad Ahmad encounter: How Operation Jhansi planned executedWho Asad, gangster Atiqs son killed encounter20 Covid deaths day, highest 6 months, active cases 50,000Gangster Atiq confessed plotting Umesh Pal murderHow cops rescued man climbed highvoltage towerWhy HCs lead lower courts encourage bail jailChoksi removed Antigua Barbuda sans court orderIPL: RCB face DC battle strugglersShort explainer short skirts big deal8 killed bus falls gorge Maharashtras RaigadIndias underwater metro successfully runs Hooghly riverCBI summons Delhi CM Kejriwal tomorrow excise caseAbout 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 WebShaakuntalam Movie ReviewParenting TipsRudhran Movie ReviewAnushka SharmaIndian Street FoodPuthandu 2023 WishesParenting TipsBaisakhi QuotesKatrina KaifStreet FoodTop TrendsKKR vs SRH Live ScoreAtiq Ahmad SonArvind KejriwalHeat Wave IndiaIPL Live ScoreAsad Ahmed EncounterAtiq AhmedDelhi Electricity SubsidyCovid Cases IndiaKarnataka Election NewsCoronavirus India LiveNorth Korea Missile testTANCET Result 2023Indonesia EarthquakeBank Holidays AprilKarnataka Elections 2023IPL Schedule 2023IPL 2023 Points TableTrending TopicsShaakuntalam Movie ReviewRongali Bihu WishesAmbedkar Jayanti 2023 WishesRudhran ReviewBest Places In IndiaRongali Bihu MessagesShakuntala ReviewDesi DishesVaiskhi WishesTmail New Year WishesBaisakhi WishesAmbedkar Jayanti WishesAkshara SinghIndian FoodShehnaaz GillSalman KhanVivo 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 | 2,023 | [
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https://timesofindia.indiatimes.com/world/us/nvidia-set-to-reveal-new-ai-technologies-at-annual-conference/articleshow/98862310.cms | 2023-03-22T00:00:00 | en | Nvidia: Nvidia set to reveal new AI technologies at annual conference - Times of India | Nvidia: Nvidia set to reveal new AI technologies at annual conference - Times of IndiaTop SearchesDonald TrumpImran KhanEmmanuel MacronKim Jong UnRussia Ukraine warJoe BidenEditionININUSSign InTOIworldUSPakistanSouth AsiaUKEuropeChinaMiddle EastRest of WorldMad, Mad WorldPhotosVideosWeb StoriesIndia and USUS And WorldUS Presidential ElectionsGun violence and crimesHowdy, Modi!NewsWorld NewsUS NewsNvidia set to reveal new AI technologies at annual conferenceNvidia set to reveal new AI technologies at annual conferenceReuters / Updated: Mar 21, 2023, 16:07 ISTShareAA+Text SizeSmallMediumLargeARTICLESNvidia set to reveal new AI technologies at annual conferenceThis Data Science Certification Course from NIRF #1 IIT Madras, with 250+ hours of LIVE learning and dedicated placement support, can speed up your career growthDonald Trump failed to disclose gifts worth $250,000, including USD 47K from Indian leadersNew York City braces for Donald Trump indictment after ex-president urges protestsJensen Huang (Picture credit: Reuters)Nvidia Corp Chief Executive Jensen Huang is expected on Tuesday to disclose new artificial intelligence chips and technologies at the company's annual conference for software developers. Analysts will be watching for the Santa Clara, California-based company to give more details about how it plans to widen accessibility to processing power like to that used to develop fast-rising technologies such as the chatbot ChatGPT. Last month, Huang told investors it would launch its own cloud computing service to offer more readily available access to large systems built with its chips. At the Tuesday conference, he will dsicuss "what's coming next" in AI, the company said on its website. Nvidia has come to dominate the field for selling chips used to developing generative AI technologies, which can answer questions with human-like text or generate fresh images based on a text prompt. Those new technologies rely on the use of thousands of Nvidia chips at once to train the AI systems on huge troves of data. Microsoft Corp, for example, built a system with more than 10,000 Nvidia chips for startup company OpenAI to use in developing the technologies that underpin its wildly popular ChatGPT. While Nvidia faces competition in the AI chip market from Advanced Micro Devices and several startup companies, the company has more than 80% of the market for chips used in training AI systems. The boom in AI has helped drive Nvidia shares up 77% this year, compared with a rise of 11.5% in the Nasdaq Composite Index. With a market capitalization of $640 billion, Nvidia has grown to become about five times more valuable than longtime rival Intel Corp.Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Soubin Shahir gifts himself a BMW R 1250 GSindiaBeautiful Amy Jackson's Red Carpet LooksEntertainment6 iconic lines from poetryLifestyleNavroz Mubarak 2023: Must-try traditional Parsi dishesFoodIn pics: Kapil Sharma amps up his fashion gametvDalljiet Kaur gets married to Nikhil Patel in white lehengaindiaFlawless beauty secrets of Sonakshi SinhaLifestyleTen comeback and new pictures of ‘NBK108’ actress Kajal Aggarwal EntertainmentNutritionist picks the 9 healthiest alcoholsLifestyle123ElectionsKarnataka ElectionElections 2023Assembly Elections 2023Karnataka Elections 2023Mizoram ElectionsChhattisgarh ElectionsMadhyaPradesh ElectionsTelangana ElectionsTop TrendingCoronavirus NewsBihar Board 12th ResultAmritpal SinghRCB vs MI Live ScoreAmritpal Singh ArrestRamadan 2023Trending StoriesIn WorldEntire WebsiteLondon police force racist, misogynist and homophobic: ReportMacron to speak as anger smoulders over pension reformDozens arrested in French protests after Macron survives no-confidence voteWhy is the Indian govt so afraid of same sex marriage?Google celebrates spring festival of Nowruz with colourful doodleManav Rachna students develop a revolutionary device!A culinary delight at Oakridge International SchoolupGrad facilitates highest CTC of INR 2.5cr p.a. this yearJapan, China leaders visit rival capitals in Ukraine warNew York City braces for Donald Trump indictmentLive: HC raps Punjab govt over Amritpal Singh giving cops a slip, calls it intel failureRat-repellent machine hits Jagannath temple deities’ sleep, removedGoa gets AI-enabled traffic management system: How it worksKarnataka approves Foxconn's Rs 8,000-cr unit planWPL Live: Smriti falls as MI keeper RCB in checkThis article was not written by ChatGPT. Does it matter?Shooting WC: India's task cut out with China back in the frayKannada actor Chetan Kumar arrested for viral tweetWhy Vande Bharat Express train is being modified for Delhi-Jaipur route'MHA approves Delhi annual budget 2023-24'About 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 WebJr NTRMalaika AroraBaby NameRanbir KapoorLance Reddick Death NewsFried Chicken RecipesHappiest CountriesMrunal ThakurParenting TipsAlluringTop TrendsCoronavirus NewsBihar Board 12th ResultAmritpal SinghRCB vs MI Live ScoreAmritpal Singh ArrestRamadan 2023Amazon LayoffsPatna Railway Station Viral VideoUgadi 2023H3N2 CasesGudi Padwa 2023CBSE Class 10 Maths ExamChaitra Navratri 2023Delhi Budget 2023Karnataka Elections 2023Cryptocurrency Price in IndiaIPL Schedule 2023WPL Points Table 2023Trending TopicsMadhubalaHansika MotwaniMotherNavratri 2023 WishesNavratri Colours 2023Gudi Padwa WishesRelationships TipsUgadi 2023 WishesParenting TipsTollywood CelebsSumona ChakravartisChaitra Navratri 2023Bollywood Star KidsGovind PadmasooryaBhojpuri CelebsTollywood DivaTamannaah BhatiaVivo 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. Ltd. All rights reserved. For reprint rights: Times Syndication Service | Nvidia: Nvidia set to reveal new AI technologies at annual conference | Nvidia: Nvidia set reveal new AI technologies annual conference Times IndiaTop esDonald TrumpImran KhanEmmanuel MacronKim Jong UnRussia Ukraine warJoe BidenEditionININUSTOIworldUSPakistanSouth AsiaUKEuropeChinaMiddle EastRest WorldMad, Mad WorldPhotosVideosWeb StoriesIndia USUS And WorldUS Presidential ElectionsGun violence crimesHowdy, ModiNewsWorld NewsUS NewsNvidia set reveal new AI technologies annual conferenceNvidia set reveal new AI technologies annual conferenceReuters Updated: Mar 21, 2023, 16:07 ISTShareAAText SizeSmallMediumLargeARTICLESNvidia set reveal new AI technologies annual conferenceThis Data Science Certification Course NIRF 1 IIT Madras, 250 hours LIVE learning dedicated placement support, speed career growthDonald Trump failed disclose gifts worth 250,000, including USD 47K Indian leadersNew York City braces Donald Trump indictment expresident urges protestsJensen Huang Picture credit: ReutersNvidia Corp Chief Executive Jensen Huang expected Tuesday disclose new artificial intelligence chips technologies companys annual conference software developers. Analysts watching Santa Clara, Californiabased company details plans widen accessibility processing power like develop fastrising technologies chatbot ChatGPT. Last month, Huang told investors launch cloud computing service offer readily available access large systems built chips. At Tuesday conference, dsicuss whats coming AI, company said website. Nvidia come dominate field selling chips developing generative AI technologies, answer questions humanlike text generate fresh images based text prompt. Those new technologies rely use thousands Nvidia chips train AI systems huge troves data. Microsoft Corp, example, built 10,000 Nvidia chips startup company OpenAI use developing technologies underpin wildly popular ChatGPT. While Nvidia faces competition AI chip market Advanced Micro Devices startup companies, company 80 market chips training AI systems. The boom AI helped drive Nvidia shares 77 year, compared rise 11.5 Nasdaq Composite Index. With market capitalization 640 billion, Nvidia grown times valuable longtime rival Intel Corp.Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories Soubin Shahir gifts BMW R 1250 GSindiaBeautiful Amy Jacksons Red Carpet LooksEntertainment6 iconic lines poetryLifestyleNavroz Mubarak 2023: Musttry traditional Parsi dishesFoodIn pics: Kapil Sharma amps fashion gametvDalljiet Kaur gets married Nikhil Patel white lehengaindiaFlawless beauty secrets Sonakshi SinhaLifestyleTen comeback new pictures NBK108 actress Kajal Aggarwal EntertainmentNutritionist picks 9 healthiest alcoholsLifestyle123ElectionsKarnataka ElectionElections 2023Assembly Elections 2023Karnataka Elections 2023Mizoram ElectionsChhattisgarh ElectionsMadhyaPradesh ElectionsTelangana ElectionsTop TrendingCoronavirus NewsBihar Board 12th ResultAmritpal SinghRCB vs MI Live ScoreAmritpal Singh ArrestRamadan 2023Trending StoriesIn WorldEntire WebsiteLondon police force racist, misogynist homophobic: ReportMacron speak anger smoulders pension reformDozens arrested French protests Macron survives noconfidence voteWhy Indian govt afraid sex marriage?Google celebrates spring festival Nowruz colourful doodleManav Rachna students develop revolutionary deviceA culinary delight Oakridge International SchoolupGrad facilitates highest CTC INR 2.5cr p.a. yearJapan, China leaders visit rival capitals Ukraine warNew York City braces Donald Trump indictmentLive: HC raps Punjab govt Amritpal Singh giving cops slip, calls intel failureRatrepellent machine hits Jagannath temple deities sleep, removedGoa gets AIenabled traffic management system: How worksKarnataka approves Foxconns Rs 8,000cr unit planWPL Live: Smriti falls MI keeper RCB checkThis article written ChatGPT. Does matter?Shooting WC: Indias task cut China frayKannada actor Chetan Kumar arrested viral tweetWhy Vande Bharat Express train modified DelhiJaipur routeMHA approves Delhi annual budget 202324About 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 WebJr NTRMalaika AroraBaby NameRanbir KapoorLance Reddick Death NewsFried Chicken RecipesHappiest CountriesMrunal ThakurParenting TipsAlluringTop TrendsCoronavirus NewsBihar Board 12th ResultAmritpal SinghRCB vs MI Live ScoreAmritpal Singh ArrestRamadan 2023Amazon LayoffsPatna Railway Station Viral VideoUgadi 2023H3N2 CasesGudi Padwa 2023CBSE Class 10 Maths ExamChaitra Navratri 2023Delhi Budget 2023Karnataka Elections 2023Cryptocurrency Price IndiaIPL Schedule 2023WPL Points Table 2023Trending TopicsMadhubalaHansika MotwaniMotherNavratri 2023 WishesNavratri Colours 2023Gudi Padwa WishesRelationships TipsUgadi 2023 WishesParenting TipsTollywood CelebsSumona ChakravartisChaitra Navratri 2023Bollywood Star KidsGovind PadmasooryaBhojpuri CelebsTollywood DivaTamannaah BhatiaVivo 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 | 2,023 | [
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https://tynmagazine.com/us-eu-pledge-joint-pursuit-of-positive-impact-ai/ | 2023-02-02T00:00:00 | en | US, EU pledge joint pursuit of positive impact AI - TyN Magazine | US, EU pledge joint pursuit of positive impact AI - TyN Magazine TICMetaverseDigital EconomyDigital BankIoTCryptoeconomyAIFintechEnglish ContentAfricaPacific AsiaPortuguese Content Estoy buscando... HomeEnglish Content US, EU pledge joint pursuit of positive impact AIEnglish ContentUS, EU pledge joint pursuit of positive impact AIPor staff02/02/2023 The European Union (EU) and US pledged to collaborate on research towards use of AI to address major global challenges including climate change and mitigating the impact of natural disasters.In the European Commission’s statement on the move it explained the Administrative Arrangement on Artificial Intelligence for the Public Good was also designed to help tackle challenges related to healthcare, energy and agriculture.AI is expected by the partners to play a role in areas including predicting extreme weather and natural disasters, alongside aiding crop yields by modelling soil and atmospheric conditions, and bird and insect trends.The EC noted findings and resources would be shared with “international partners that share common values but lack relevant capabilities to help them manage such emergencies and challenges”.See more: In Mexico is where e-commerce is growing the most worldwide: Mercado Libre“Based on common values and interests, EU and US researchers will join forces to develop societal applications of AI and will work with other international partners for a truly global impact,” EC Commissioner for Internal Market Thierry Breton added.In his country’s statement on the deal, US national security adviser Jake Sullivan noted the collaboration will “drive responsible advancements in AI to address major global challenges with a joint development model and integrated research to deliver benefits to our societies”.The partnership is the latest between the two regions focused on advanced technologies and trade.EU member states were also part of a slew of countries to sign the Declaration for the Future of the Internet pledge with the US, outlining a global vision of the future of the internet and related technologies. Tags:artificial intelligenceclimate changeEuropean Unionnatural disasters Artículo anterior España distribuye 20 millones de euros entre proyectos de 5G Artículo siguiente Emisores digitales fortalecen su oferta de servicios para impulsar la inclusión financiera Notas Relacionadas English ContentGlobal economy to slow further amid signs of resilience and China re-opening English ContentSearches for ‘Netflix stock’ rises 131% after Oscar nominations English ContentAmazon class action alleges company collected, stored employee data during COVID screeningsSuscríbase al Newsletter Síganos TyN MagazineTyN marca tendencia, publicando diariamente lo más importante que nuestros lectores deben conocer para tomar las mejores decisiones. TyN es tu “punto de encuentro” con la información.– Founder and Editor: Gustavo Martínez ([email protected])– Content Marketing: Graciela Salas ([email protected])– Content Marketing: [email protected]– Editor: Damián Martinez ([email protected])Categorias más leídasCryptoeconomyMetaverseTICFintechDigital EconomyAIIoTEtiquetasCryptoeconomy5GFintechBitcoin TyN Magazine © . | US, EU pledge joint pursuit of positive impact AI | US, EU pledge joint pursuit positive impact AI TyN Magazine TICMetaverseDigital EconomyDigital BankIoTCryptoeconomyAIFintechEnglish ContentAfricaPacific AsiaPortuguese Content Estoy buscando... HomeEnglish Content US, EU pledge joint pursuit positive impact AIEnglish ContentUS, EU pledge joint pursuit positive impact AIPor staff02022023 The European Union EU US pledged collaborate research use AI address major global challenges including climate change mitigating impact natural disasters.In European Commissions statement explained Administrative Arrangement Artificial Intelligence Public Good designed help tackle challenges related healthcare, energy agriculture.AI expected partners play role areas including predicting extreme weather natural disasters, alongside aiding crop yields modelling soil atmospheric conditions, bird insect trends.The EC noted findings resources shared international partners share common values lack relevant capabilities help manage emergencies challenges.See more: In Mexico ecommerce growing worldwide: Mercado LibreBased common values interests, EU US researchers join forces develop societal applications AI work international partners truly global impact, EC Commissioner Internal Market Thierry Breton added.In countrys statement deal, US national security adviser Jake Sullivan noted collaboration drive responsible advancements AI address major global challenges joint development model integrated research deliver benefits societies.The partnership latest regions focused advanced technologies trade.EU member states slew countries sign Declaration Future Internet pledge US, outlining global vision future internet related technologies. Tags:artificial intelligenceclimate changeEuropean Unionnatural disasters Artculo anterior Espaa distribuye 20 millones euros entre proyectos 5G Artculo siguiente Emisores digitales fortalecen su oferta servicios para impulsar la inclusin financiera Notas Relacionadas English ContentGlobal economy slow amid signs resilience China reopening English Contentes Netflix stock rises 131 Oscar nominations English ContentAmazon class action alleges company collected, stored employee data COVID screeningsSuscrbase al Newsletter Sganos TyN MagazineTyN marca tendencia, publicando diariamente lo ms importante que nuestros lectores deben conocer para tomar las mejores decisiones. TyN es tu punto encuentro la informacin. Founder Editor: Gustavo Martnez gustavom Content Marketing: Graciela Salas gracielas Content Marketing: agustinac Editor: Damin Martinez damianm ms ledasCryptoeconomyMetaverseTICFintechDigital EconomyAIIoTEtiquetasCryptoeconomy5GFintechBitcoin TyN Magazine . | 2,023 | [
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https://ummid.com/news/2022/june/16.06.2022/skills-proficiency-levels-india-slips-to-68th-position-data-science-key-concern.html | 2022-06-16T00:00:00 | en | Skills Proficiency: India slips to 68th position, Data Science key concern | ummid.com |
Skills Proficiency: India slips to 68th position, Data Science key concern | ummid.com
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Welcome Guest! You are here: Home » Science & Technology
Skills Proficiency: India slips to 68th position, Data Science key concern
India has slipped four places in terms of overall skills proficiency globally, and stands at 68th position
Thursday June 16, 2022 9:30 AM, IANS
New Delhi: India has slipped four places in terms of overall skills proficiency globally, and stands at 68th position. Indian learners continue to lag in data science skills, a new report has revealed.
The proficiency in data science has dipped from 38 per cent in 2021 to 26 per cent this year in the country, leading to a 12-rank drop.
India scores low on foundational and specialised data science skills -- data visualisation (10 per cent), statistical programming (14 per cent), data management (22 per cent), among others.
While India's overall skills proficiency slips, fintech skills acquisition is ahead of global average, according to Global Skills Report (GSR) 2022, by US-based open online course provider Coursera.
In Asia, India stands at 19th position. The report also showed an increase in India's technology proficiency levels from 38 per cent to 46 per cent, with the country strengthening its position by six spots.
The report drew data from 100 million learners in more than 100 countries who have used Coursera to develop a new skill during the past year.
"The 'Great Resignation' and automation are mandating stronger investments in human capital, as institutions must prioritise developing the high-demand digital and human skills required to build a competitive and equitable workforce," said Jeff Maggioncalda, Coursera CEO.
The strongest skill in the domain for India continues to be machine learning (41 per cent).
With strong proficiency in key tech skills like cloud computing, theoretical computer science, and web development, India now ranks 56th globally in the domain compared to the 66th rank last year.
Cloud Computing is India's strongest technology skill with 74 per cent proficiency.
The government, along with online learning platforms, fin-techs and experts in the financial sector, have been emphasising the need for new-age financial skills.
According to the report, learners in India are over-indexed in skills such as investment management (1.38 times), blockchain (1.33 times) and risk management (1.22 times).
West Bengal leads the Indian states in terms of skills proficiency. The state showed the highest levels of digital skills proficiency in the country, outpacing Karnataka.
Learners in West Bengal also earned a perfect 100 per cent proficiency in more than 10 skills such as leadership and management, human resources, cloud computing, computer programming, machine learning and data analysis.
Andhra Pradesh is one of the top three performing states, with high proficiency in business and technology skills, the report said.
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| Skills Proficiency: India slips to 68th position, Data Science key concern | Skills Proficiency: India slips 68th position, Data Science key concern India World Politics Education Business Life Style Health Science Technology Views Analysis Welcome Guest You here: Home Science Technology Skills Proficiency: India slips 68th position, Data Science key concern India slipped places terms overall skills proficiency globally, stands 68th position Thursday June 16, 2022 9:30 AM, IANS New Delhi: India slipped places terms overall skills proficiency globally, stands 68th position. Indian learners continue lag data science skills, new report revealed. The proficiency data science dipped 38 cent 2021 26 cent year country, leading 12rank drop. India scores low foundational specialised data science skills data visualisation 10 cent, statistical programming 14 cent, data management 22 cent, others. While Indias overall skills proficiency slips, fintech skills acquisition ahead global average, according Global Skills Report GSR 2022, USbased open online course provider Coursera. In Asia, India stands 19th position. The report showed increase Indias technology proficiency levels 38 cent 46 cent, country strengthening position spots. The report drew data 100 million learners 100 countries Coursera develop new skill past year. The Great Resignation automation mandating stronger investments human capital, institutions prioritise developing highdemand digital human skills required build competitive equitable workforce, said Jeff Maggioncalda, Coursera CEO. The strongest skill domain India continues machine learning 41 cent. With strong proficiency key tech skills like cloud computing, theoretical science, web development, India ranks 56th globally domain compared 66th rank year. Cloud Computing Indias strongest technology skill 74 cent proficiency. The government, online learning platforms, fintechs experts financial sector, emphasising need newage financial skills. According report, learners India overindexed skills investment management 1.38 times, blockchain 1.33 times risk management 1.22 times. West Bengal leads Indian states terms skills proficiency. The state showed highest levels digital skills proficiency country, outpacing Karnataka. Learners West Bengal earned perfect 100 cent proficiency 10 skills leadership management, human resources, cloud computing, programming, machine learning data analysis. Andhra Pradesh performing states, high proficiency business technology skills, report said. For latest News, Opinions Views, download App. Select Language To Read Urdu, Hindi, Marathi Arabic. Share Top Headlines 0 US announces West Asia Quad called I2U2 India, Israel UAE 1 Jamiat approaches SC seeking action UP officials carrying demolition drive 2 30cr students India; 2.72cr pursuing Higher Education Swayam Portal 3 Ahmedabad: Isanpur residents threaten boycott polls demolition drive 4 Insufficient sleep worsen lung disease smoking: Study 5 Exjudges, advocates urge CJI suo motu cognizance demolition drives 6 Microsoft Teams uses ML, AI improve acoustics, interruptions 7 Now, dogfight hiring teachers EdTech firms enter offline tuition space 8 DTE Maha Direct 2nd Year Post SSC Diploma Admission 2022: Application Starts 9 Textbook Revisions: Karnataka Image Education Hub Stake Post Comments Note: By posting comments agree terms conditions . Top Stories Exjudges, advocates urge CJI suo motu cognizance demolition drives Also Read UP admin demolishes student activist Afreen Fatimas home Prayagraj .. Top Stories Muslim panel asks Islamic Scholars Intellectuals boycott TV debates Also Read Systematic Hate: Anger BJP leaders blasphemous remarks escalates Forced apology heart: Clamour grows arrest BJP spokespersons Also Read Superstores Arab states remove Indian products, sack Hindu workers About Press office Terms use Disclaimer Connect Work Adverise News Section National Regional International Politics Life Style Science Technology Views Analysis Social RSS Feed Facebook Twitter YouTube LinkedIn Newsletter Awaz Multimedia Publications | 2,022 | [
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https://ummid.com/news/2023/august/31-08-2023/with-this-google-tool-ai-images-can-be-distinguished-from-real-ones.html | 2023-09-01T00:00:00 | en | SynthID: With this Google tool, AI images can be distinguished from real ones | ummid.com |
SynthID: With this Google tool, AI images can be distinguished from real ones | ummid.com
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Welcome Guest! You are here: Home » Science & Technology
SynthID: With this Google tool, AI images can be distinguished from real ones
Google DeepMind in collaboration with Google Cloud has launched a beta version of a new tool named 'SynthID'. Read More
Thursday August 31, 2023 10:16 PM, ummid.com News Network
[Image for representation]
San Francisco: Software major Google has inroduced a new tool for watermarking and identifying AI-generated images -- a technology that embeds a digital watermark directly into the pixels of an image, making it imperceptible to the human eye but detectable for identification.
Google DeepMind in collaboration with Google Cloud has launched a beta version of a new tool named 'SynthID'. Google DeepMind is the tech giant's AI research division.
Limited Availability
Google is currently making SynthID available to a limited number of Vertex AI (Google’s platform for building AI apps and models) customers using Imagen, one of the company's latest text-to-image models that use input text to create photorealistic images.
"While generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information - both intentionally or unintentionally," Google DeepMind said in a blogpost.
"Being able to identify AI-generated content is critical to empowering people with knowledge of when they’re interacting with generated media, and for helping prevent the spread of misinformation," it added.
Not like traditional watermarks
According to DeepMind, the SynthID generated watermark will be different from traditional watermarks, and will remain in place even after modifications, such as adding filters to images, changing their colours, and compressing them.
In order to produce the tool, DeepMind trained two AI models together on a "diverse" set of images, one for watermarking and one for identification.
However, SynthID cannot confidently identify watermarked images. The tool distinguishes between images that may or may not have a watermark and images that are highly likely to have one.
"SynthID isn’t foolproof against extreme image manipulations, but it does provide a promising technical approach for empowering people and organisations to work with AI-generated content responsibly. This tool could also evolve alongside other AI models and modalities beyond imagery such as audio, video, and text," Google said.
This tool provides three confidence levels for interpreting the results of watermark identification. If a digital watermark is detected, part of the image is likely generated by Imagen.
Google mentioned that it will integrate the tool into more Google products and make it available to third parties in the near future.
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| SynthID: With this Google tool, AI images can be distinguished from real ones | SynthID: With Google tool, AI images distinguished real ones India World Politics Education Business Life Style Healthss Science Technology Views Analysis Welcome Guest You here: Home Science Technology SynthID: With Google tool, AI images distinguished real ones Google DeepMind collaboration Google Cloud launched beta version new tool named SynthID. Read More Thursday August 31, 2023 10:16 PM, News Network [Image representation] San Francisco: Software major Google inroduced new tool watermarking identifying AIgenerated images technology embeds digital watermark directly pixels image, making imperceptible human eye detectable identification. Google DeepMind collaboration Google Cloud launched beta version new tool named SynthID. Google DeepMind tech giants AI research division. Limited Availability Google currently making SynthID available limited number Vertex AI Googles platform building AI apps models customers Imagen, companys latest texttoimage models use input text create photorealistic images. While generative AI unlock huge creative potential, presents new risks, like enabling creators spread false information intentionally unintentionally, Google DeepMind said blogpost. Being able identify AIgenerated content critical empowering people knowledge theyre interacting generated media, helping prevent spread misinformation, added. Not like traditional watermarks According DeepMind, SynthID generated watermark different traditional watermarks, remain place modifications, adding filters images, changing colours, compressing them. In order produce tool, DeepMind trained AI models diverse set images, watermarking identification. However, SynthID confidently identify watermarked images. The tool distinguishes images watermark images highly likely one. SynthID isnt foolproof extreme image manipulations, provide promising technical approach empowering people organisations work AIgenerated content responsibly. This tool evolve alongside AI models modalities imagery audio, video, text, Google said. This tool provides confidence levels interpreting results watermark identification. If digital watermark detected, image likely generated Imagen. Google mentioned integrate tool Google products available parties near future. For latest News, Opinions Views, download App. Select Language To Read Urdu, Hindi, Marathi Arabic. Top Headlines 0 At World Athletics Championships 2023, India, Pakistan Story 1 Watch: Astronomer installs Telescope middle road people Saturn glimpses 2 Edge flags Chrome Virus Microsoft, Google browser war turns uglier 3 AMD unpacks RX 7700 XT, 7800 XT GPUs Explore 4 Product Hate Factories, Not A Teacher 5 Kissa Kursi Ka 2024 6 Gujarat govt payments Adani Power bills: Congress 7 Watch: Hindu, Muslim classmates seen slapgate video hug 8 Mockery Religion: On way Umrah, Rakhi Sawant trolled 9 The Story Government Schools India Post Comments Note: By posting comments agree terms conditions Top Stories Chandrayan3: Pragyan Rover Completes A Week At Its New Home What Next? Also Read In Pictures: Final Moments Chandrayaan3 Landing Moon Also Read Indias Chandrayaan3 Successfully Lands Moon More Stories Product Hate Factories, Not A Teacher Also Read Watch: Hindu, Muslim classmates seen slapgate video hug Also Read Clamour UP teachers arrest kids slap Muslim student viral video Delhis Shame: Dy Director Women Child Dev Dept arrested raping teen Also Read Gang Rapes India Manipur Beyond Also Read Horrendous: SC naked parading, gangrape Manipur Tribal women About Press office Terms use Disclaimer Connect Work Adverise News Section National Regional International Politics Life Style Science Technology Views Analysis Social RSS Feed Facebook Twitter YouTube LinkedIn Newsletter Awaz Multimedia Publications | 2,023 | [
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https://upnewsinfo.com/3-top-ai-stocks-to-buy-right-now-by-stocknews/ | 2021-08-20T00:00:00 | en | 3 Top AI Stocks to Buy Right Now By StockNews - Up News Info | 3 Top AI Stocks to Buy Right Now By StockNews - Up News Info
Sign inEntertainmentTechnologySportsHealthcareFinancial Sign in Welcome!Log into your accountyour usernameyour password Forgot your password?Privacy Policy Password recoveryRecover your passwordyour email Search Sign inWelcome! Log into your accountyour usernameyour password Forgot your password? Get helpPrivacy PolicyPassword recoveryRecover your passwordyour email A password will be e-mailed to you. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Business 3 Top AI Stocks to Buy Right Now By StockNewsBusiness3 Top AI Stocks to Buy Right Now By StockNewsBy Matilda Colman - August 20, 202103ShareFacebook Twitter Pinterest WhatsApp Disclaimer: We make affiliate commissions from Bluehost by promoting to our readers. We recommend Bluehost to our readers since it is one of the only affordable hosting solutions that are both reliable and high in capacity and offers excellent customer service. © Reuters. 3 Top AI Stocks to Buy Right Now While artificial intelligence (AI) has already transformed how many companies work, it is expected to make further advancements that rely on machine learning and deep learning, among other factors. So, we think it could be wise to bet on top AI stocks Intel (INTC), International Business Machines (NYSE:), and Micron (MU), amid the fast-paced digital transformation. Read on.Artificial intelligence (AI) is expected to continue evolving and transforming the way businesses work. Many industries have already benefited from implementing AI in their business processes. For example, the introduction of virtual shopping assistants and chatbots has helped e-commerce companies offer a better experience to their customers. The continued evolution of AI and rising demand from almost all industries should drive the performances of companies operating in this space. Investors’ interest in the AI stocks is evident in the Global X Robotics & Artificial Intelligence ETF’s (BOTZ) 5.3% gains over the past month, versus the SPDR S&P 500 Trust ETF’s (SPY) 3.5% returns. Due to consistent technological improvements and growing demand, the AI industry is expected to grow rapidly. Indeed, according to a ResearchAndMarkets report, the global AI market is expected to reach $171.02 billion in 2025, growing at a 35% CAGR. Given this backdrop, we think it could be wise to bet on quality AI stocks Intel Corporation (NASDAQ:), International Business Machines Corporation ( IBM ), and Micron Technology, Inc. (NASDAQ:). These companies have solid fundamentals and are expected to continue growing.Continue reading on StockNewsDisclaimer: Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. All CFDs (stocks, indexes, futures) and Forex prices are not provided by exchanges but rather by market makers, and so prices may not be accurate and may differ from the actual market price, meaning prices are indicative and not appropriate for trading purposes. Therefore Fusion Media doesn`t bear any responsibility for any trading losses you might incur as a result of using this data.Fusion Media or anyone involved with Fusion Media will not accept any liability for loss or damage as a result of reliance on the information including data, quotes, charts and buy/sell signals contained within this website. Please be fully informed regarding the risks and costs associated with trading the financial markets, it is one of the riskiest investment forms possible. ShareFacebook Twitter Pinterest WhatsApp Matilda Colman RELATED ARTICLESMORE FROM AUTHOR BusinessEver Given, the ship that blocked Suez Canal in March, crosses the canal again By Reuters BusinessDenmark stocks higher at close of trade; OMX Copenhagen 20 up 0.80% By Investing.com BusinessElon Musk unveils Tesla Bot called Optimus at AI Day eventHomeAbout UsContact usDisclaimerPrivacy Policy ©
| 3 Top AI Stocks to Buy Right Now By StockNews | 3 Top AI Stocks Buy Right Now By StockNews Up News Info Sign inEntertainmentTechnologySportsHealthcareFinancial Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email Sign inWelcome Log accountyour usernameyour password Forgot password? Get helpPassword recoveryRecover passwordyour email A password emailed you. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Business 3 Top AI Stocks Buy Right Now By StockNewsBusiness3 Top AI Stocks Buy Right Now By StockNewsBy Matilda Colman August 20, 202103ShareFacebook Twitter Pinterest WhatsApp Disclaimer: We affiliate commissions Bluehost promoting readers. We recommend Bluehost readers affordable hosting solutions reliable high capacity offers excellent customer service. Reuters. 3 Top AI Stocks Buy Right Now While artificial intelligence AI transformed companies work, expected advancements rely machine learning deep learning, factors. So, think wise bet AI stocks Intel INTC, International Business Machines NYSE:, Micron MU, amid fastpaced digital transformation. Read on.Artificial intelligence AI expected continue evolving transforming way businesses work. Many industries benefited implementing AI business processes. For example, introduction virtual shopping assistants chatbots helped ecommerce companies offer better experience customers. The continued evolution AI rising demand industries drive performances companies operating space. Investors AI stocks evident Global X Robotics Artificial Intelligence ETFs BOTZ 5.3 gains past month, versus SPDR SP 500 Trust ETFs SPY 3.5 returns. Due consistent technological improvements growing demand, AI industry expected grow rapidly. Indeed, according ResearchAndMarkets report, global AI market expected reach 171.02 billion 2025, growing 35 CAGR. Given backdrop, think wise bet quality AI stocks Intel Corporation NASDAQ:, International Business Machines Corporation IBM , Micron Technology, . NASDAQ:. These companies solid fundamentals expected continue growing.Continue reading StockNewsDisclaimer: Fusion Media like remind data contained website necessarily realtime accurate. All CFDs stocks, indexes, futures Forex prices provided exchanges market makers, prices accurate differ actual market price, meaning prices indicative appropriate trading purposes. Therefore Fusion Media doesnt bear responsibility trading losses incur result data.Fusion Media involved Fusion Media accept liability loss damage result reliance information including data, quotes, charts buysell signals contained website. Please fully informed risks costs associated trading financial markets, riskiest investment forms possible. ShareFacebook Twitter Pinterest WhatsApp Matilda Colman RELATED ARTICLESMORE FROM AUTHOR BusinessEver Given, ship blocked Suez Canal March, crosses canal By Reuters BusinessDenmark stocks higher close trade; OMX Copenhagen 20 0.80 By BusinessElon Musk unveils Tesla Bot called Optimus AI Day eventHome usDisclaimer | 2,021 | [
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https://venturebeat.com/2020/01/22/adobes-ai-lets-you-preview-any-item-of-clothing-on-a-virtual-body-model/ | 2020-01-22T00:00:00 | en | Adobe's AI lets you preview any item of clothing on a virtual body model | VentureBeat |
Adobe's AI lets you preview any item of clothing on a virtual body model | VentureBeat
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AI
Adobe’s AI lets you preview any item of clothing on a virtual body model
Kyle Wiggers@Kyle_L_Wiggers January 22, 2020 8:10 AM
Adobe's SieveNet realistically transfers images of clothing to virtual models.
Platforms that let shoppers virtually try on cosmetics, apparel, and accessories have exploded in popularity over the past decade, and it’s easy to see why. According to a survey conducted by banking company Klarna, 29% of shoppers prefer to browse for items online before actually buying them, while 49% are interested in solutions that take their measurements so they can be sure something will fit before buying.
With this top of mind, a team of researchers hailing from Adobe, the Indian Institute of Technology, and Stanford University explored what they describe as an “image-based virtual try-on” for fashion. Called SieveNet, it’s able to retain the characteristics of an article of clothing (including wrinkles and folds) as it maps the item to virtual bodies — without introducing blurry or bleeding textures.
SieveNet’s objective is to take an image of clothing and a body model image and generate a new image of the model wearing the clothing with the original body shape, pose, and other details preserved. To accomplish this, it incorporates a multi-stage technique that involves warping a garment to align with the body model’s pose and shape before transferring the warped texture onto the model.
Above: A schematic of SieveNet.
The warping, note the authors of a paper detailing this work, requires accounting for variations in shape or pose between the image of clothing, as well as occlusions in the model image (for example, long hair or crossed arms). Specialized modules within SieveNet predict coarse-level transformations and fine-level corrections on top of the earlier coarse transformations, while another module computes the rendered image and a mask atop the body model.
In experiments using four Nvidia 1080Ti graphics cards on a PC with 16GB of RAM, the researchers trained SieveNet on a data set consisting of around 19,000 images of front-facing female models and upper-clothing product images. They report that in qualitative tests the system handled occlusion, variation in poses, bleeding, geometric warping, and overall quality preservation better than baselines. They also say it achieved state-of-the-art results across qualitative metrics, including Fréchet Inception Distance (FID), which takes photos from both the target distribution and the system being evaluated (in this case SieveNet) and uses an AI object recognition system to capture important features and suss out similarities.
SieveNet isn’t the first of its kind, exactly. L’Oréal’s ModiFace, which recently came to Amazon’s mobile app, lets customers test different shades of lipstick on live pics and videos of themselves. Vue.ai’s AI system susses out clothing characteristics and learns to produce realistic poses, skin colors, and other features, generating model images in every size up to 5 times faster than a traditional photo shoot. And both Gucci and Nike offer apps that allow people to virtually try on shoes.
But the researchers assert that a system like SeiveNet could be more easily incorporated into existing apps and websites. “Virtual try-on — the visualization of fashion products in a personalized setting — is especially important for online fashion commerce because it compensates for the lack of a direct physical experience of in-store shopping,” they wrote. “We show significant … improvement[s] over the current state-of-the-art methods for image-based virtual try-on.”
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| Adobe's AI lets you preview any item of clothing on a virtual body model | Adobes AI lets preview item clothing virtual body model 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 Adobes AI lets preview item clothing virtual body model Kyle Wiggers January 22, 2020 8:10 AM Adobes SieveNet realistically transfers images clothing virtual models. Platforms let shoppers virtually try cosmetics, apparel, accessories exploded popularity past decade, easy why. According survey conducted banking company Klarna, 29 shoppers prefer browse items online actually buying them, 49 interested solutions measurements sure fit buying. With mind, team researchers hailing Adobe, Indian Institute Technology, Stanford University explored imagebased virtual tryon fashion. Called SieveNet, able retain characteristics article clothing including wrinkles folds maps item virtual bodies introducing blurry bleeding textures. SieveNets objective image clothing body model image generate new image model wearing clothing original body shape, pose, details preserved. To accomplish this, incorporates multistage technique involves warping garment align body models pose shape transferring warped texture model. Above: A schematic SieveNet. The warping, note authors paper detailing work, requires accounting variations shape pose image clothing, occlusions model image example, long hair crossed arms. Specialized modules SieveNet predict coarselevel transformations finelevel corrections earlier coarse transformations, module computes rendered image mask atop body model. In experiments Nvidia 1080Ti graphics cards PC 16GB RAM, researchers trained SieveNet data set consisting 19,000 images frontfacing female models upperclothing product images. They report qualitative tests handled occlusion, variation poses, bleeding, geometric warping, overall quality preservation better baselines. They achieved stateoftheart results qualitative metrics, including Frchet eption Distance FID, takes photos target distribution evaluated case SieveNet uses AI object recognition capture important features suss similarities. SieveNet isnt kind, exactly. LOrals ModiFace, recently came Amazons mobile app, lets customers test different shades lipstick live pics videos themselves. Vue.ais AI susses clothing characteristics learns produce realistic poses, skin colors, features, generating model images size 5 times faster traditional photo shoot. And Gucci Nike offer apps allow people virtually try shoes. But researchers assert like SeiveNet easily incorporated existing apps websites. Virtual tryon visualization fashion products personalized setting especially important online fashion commerce compensates lack direct physical experience instore shopping, wrote. We significant improvement[s] current stateoftheart methods imagebased virtual tryon. Most Read GMs Cruise rolls Origin, autonomous electric vehicle steering wheel Stillfront Group acquires Storm8 300 million Microsoft opensources ONNX Runtime model speed Googles BERT Berkshire Grey raises 263 million industrial robots Apples iCloud backups unencrypted law enforcement pressure 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. | 2,020 | [
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https://venturebeat.com/2020/06/03/how-googleis-using-emerging-ai-techniques-to-improve-language-translation-quality/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-06-03T00:00:00 | en | How Google is using emerging AI techniques to improve language translation quality | VentureBeat |
How Google is using emerging AI techniques to improve language translation quality | VentureBeat
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AI
How Google is using emerging AI techniques to improve language translation quality
Kyle Wiggers@Kyle_L_Wiggers June 3, 2020 11:31 AM
Image Credit: Reuters
Google says it’s made progress toward improving translation quality for languages that don’t have a copious amount of written text. In a forthcoming blog post, the company details new innovations that have enhanced the user experience in the 108 languages (particularly in data-poor languages Yoruba and Malayalam) supported by Google Translate, its service that translates an average of 150 billion words daily.
In the 13 years since the public debut of Google Translate, techniques like neural machine translation, rewriting-based paradigms, and on-device processing have led to quantifiable leaps in the platform’s translation accuracy. But until recently, even the state-of-the-art algorithms underpinning Translate lagged behind human performance. Efforts beyond Google illustrate the magnitude of the problem — the Masakhane project, which aims to render thousands of languages on the African continent automatically translatable, has yet to move beyond the data-gathering and transcription phase. And Common Voice, Mozilla’s effort to build an open source collection of transcribed speech data, has vetted only 40 voices since its June 2017 launch.
Google says its translation breakthroughs weren’t driven by a single technology, but rather a combination of technologies targeting low-resource languages, high-resource languages, general quality, latency, and overall inference speed. Between May 2019 and May 2020, as measured by human evaluations and BLEU, a metric based on the similarity between a system’s translation and human reference translations, Translate improved an average of 5 or more points across all languages and 7 or more across the 50 lowest-resource languages. Moreover, Google says that Translate has become more robust to machine translation hallucination, a phenomenon in which AI models produce strange “translations” when given nonsense input (such as “Shenzhen Shenzhen Shaw International Airport (SSH)” for the Telugu characters “ష ష ష ష ష ష ష ష ష ష ష ష ష ష ష,” which mean “Sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh”).
Hybrid models and data miners
The first of these technologies is a translation model architecture — a hybrid architecture consisting of a Transformer encoder and a recurrent neural network (RNN) decoder implemented in Lingvo, a TensorFlow framework for sequence modeling.
VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.In machine translation, encoders generally encode words and phrases as internal representations the decoder then uses to generate text in a desired language. Transformer-based models, which Google-affiliated researchers first proposed in 2017, are demonstrably more effective at this than RNNs, but Google says its work suggests most of the quality gains come from only one component of the Transformer: the encoder. That’s perhaps because while both RNNs and Transformers are designed to handle ordered sequences of data, Transformers don’t require that the sequence be processed in order. In other words, if the data in question is natural language, the Transformer doesn’t need to process the beginning of a sentence before it processes the end.
Still, the RNN decoder remains “much faster” at inference time than the decoder within the Transformer. Cognizant of this, the Google Translate team applied optimizations to the RNN decoder before coupling it with the Transformer encoder to create low-latency, hybrid models higher in quality and more stable than the four-year-old RNN-based neural machine translation models they replace.
Above: The BLEU score of Google Translate models since shortly after its inception in 2006.Image Credit: Google
Beyond the novel hybrid model architecture, Google upgraded the decades-old crawler it used to compile training corpora from millions of example translations in things like articles, books, documents, and web search results. The new miner — which is embedding-based for 14 large language pairs as opposed to dictionary-based, meaning it uses vectors of real numbers to represent words and phrases — focuses more on precision (the fraction of relevant data among the retrieved data) than recall (the fraction of the total amount of relevant data that was actually retrieved). In production, Google says this increased the number of sentences the miner extracted by 29% on average.
Noisy data and transfer learning
Another translation performance boost came from a modeling method that better treats noise in training data. Following from the observation that noisy data (data with a large amount of information that can’t be understood or interpreted correctly) harms translation of languages for which data are is plentiful, the Google Translate team deployed a system that assigns scores to examples using models trained on noisy data and tuned on “clean” data. Effectively, the models begin training on all data and then gradually train on smaller and cleaner subsets, an approach known in the AI research community as curriculum learning.
On the low-resource language side of the equation, Google implemented a back-translation scheme in Translate that augments parallel training data, where each sentence in a language is paired with its translation. (Machine translation traditionally relies on the statistics of corpora of paired sentences in both a source and a target language.) In this scheme, training data is automatically aligned with synthetic parallel data, such that the target text is natural language but the source is generated by a neural translation model. The result is that Translate takes advantage of the more abundant monolingual text data for training models, which Google says is especially helpful in increasing fluency.
Above: Google Maps with Translate.
Translate also now makes use of M4 modeling, where a single, giant model — M4 — translates among many languages and English. (M4 was first proposed in a paper last year that demonstrated it improved translation quality for over 30 low-resource languages after training on more than 25 billion sentence pairs from over 100 languages.) M4 modeling enabled transfer learning in Translate, so that insights gleaned through training on high-resource languages including French, German, and Spanish (which have billions of parallel examples) can be applied to the translation of low-resource languages like Yoruba, Sindhi, and Hawaiian (which have only tens of thousands of examples).
Looking ahead
Translate has improved by at least 1 BLEU point per year since 2010, according to Google, but automatic machine translation is by no means a solved problem. Google concedes that even its enhanced models fall prey to errors including conflating different dialects of a language, producing overly literal translations, and poor performance on particular genres of subject matter and informal or spoken language.
The tech giant is attempting to address this in various ways, including through its Google Translate Community, a gamified program that recruits volunteers to help improve performance for low-resource languages by translating words and phrases or checking if translations are correct. Just in February, the program, in tandem with emerging machine learning techniques, led to the addition in Translate of five languages spoken by a combined 75 million people: Kinyarwanda, Odia (Oriya), Tatar, Turkmen, and Uyghur (Uighur).
Google isn’t alone in its pursuit of a truly universal translator. In August 2018, Facebook revealed an AI model that uses a combination of word-for-word translations, language models, and back-translations to outperform systems for language pairings. More recently, MIT Computer Science and Artificial Intelligence Laboratory researchers presented an unsupervised model — i.e., a model that learns from test data that hasn’t been explicitly labeled or categorized — that can translate between texts in two languages without direct translational data between the two.
In a statement, Google diplomatically said it’s “grateful” for the machine translation research in “academia and industry,” some of which informed its own work. “We accomplished [Google Translate’s recent improvements] by synthesizing and expanding a variety of recent advances,” said the company. “[W]ith this update, we are proud to provide automatic translations that are relatively coherent, even for the lowest-resource of the 108 supported languages.”
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| How Google is using emerging AI techniques to improve language translation quality | How Google emerging AI techniques improve language translation quality 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 Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals 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 Log Out AI How Google emerging AI techniques improve language translation quality Kyle Wiggers June 3, 2020 11:31 AM Image Credit: Reuters Google says progress improving translation quality languages dont copious written text. In forthcoming blog post, company details new innovations enhanced user experience 108 languages particularly datapoor languages Yoruba Malayalam supported Google Translate, service translates average 150 billion words daily. In 13 years public debut Google Translate, techniques like neural machine translation, rewritingbased paradigms, ondevice processing led quantifiable leaps platforms translation accuracy. But recently, stateoftheart algorithms underpinning Translate lagged human performance. Efforts Google illustrate magnitude problem Masakhane project, aims render thousands languages African continent automatically translatable, datagathering transcription phase. And Common Voice, Mozillas effort build open source collection transcribed speech data, vetted 40 voices June 2017 launch. Google says translation breakthroughs werent driven single technology, combination technologies targeting lowresource languages, highresource languages, general quality, latency, overall inference speed. Between May 2019 May 2020, measured human evaluations BLEU, metric based similarity systems translation human reference translations, Translate improved average 5 points languages 7 50 lowestresource languages. Moreover, Google says Translate robust machine translation hallucination, phenomenon AI models produce strange translations given nonsense input Shenzhen Shenzhen Shaw International Airport SSH Telugu characters , mean Sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh sh. Hybrid models data miners The technologies translation model architecture hybrid architecture consisting Transformer encoder recurrent neural network RNN decoder implemented Lingvo, TensorFlow framework sequence modeling. VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.In machine translation, encoders generally encode words phrases internal representations decoder uses generate text desired language. Transformerbased models, Googleaffiliated researchers proposed 2017, demonstrably effective RNNs, Google says work suggests quality gains come component Transformer: encoder. Thats RNNs Transformers designed handle ordered sequences data, Transformers dont require sequence processed order. In words, data question natural language, Transformer doesnt need process beginning sentence processes end. Still, RNN decoder remains faster inference time decoder Transformer. Cognizant this, Google Translate team applied optimizations RNN decoder coupling Transformer encoder create lowlatency, hybrid models higher quality stable fouryearold RNNbased neural machine translation models replace. Above: The BLEU score Google Translate models shortly inception 2006.Image Credit: Google Beyond novel hybrid model architecture, Google upgraded decadesold crawler compile training corpora millions example translations things like articles, books, documents, web search results. The new miner embeddingbased 14 large language pairs opposed dictionarybased, meaning uses vectors real numbers represent words phrases focuses precision fraction relevant data retrieved data recall fraction total relevant data actually retrieved. In production, Google says increased number sentences miner extracted 29 average. Noisy data transfer learning Another translation performance boost came modeling method better treats noise training data. Following observation noisy data data large information understood interpreted correctly harms translation languages data plentiful, Google Translate team deployed assigns scores examples models trained noisy data tuned clean data. Effectively, models begin training data gradually train smaller cleaner subsets, approach known AI research community curriculum learning. On lowresource language equation, Google implemented backtranslation scheme Translate augments parallel training data, sentence language paired translation. Machine translation traditionally relies statistics corpora paired sentences source target language. In scheme, training data automatically aligned synthetic parallel data, target text natural language source generated neural translation model. The result Translate takes advantage abundant monolingual text data training models, Google says especially helpful increasing fluency. Above: Google Maps Translate. Translate makes use M4 modeling, single, giant model M4 translates languages English. M4 proposed paper year demonstrated improved translation quality 30 lowresource languages training 25 billion sentence pairs 100 languages. M4 modeling enabled transfer learning Translate, insights gleaned training highresource languages including French, German, Spanish billions parallel examples applied translation lowresource languages like Yoruba, Sindhi, Hawaiian tens thousands examples. Looking ahead Translate improved 1 BLEU point year 2010, according Google, automatic machine translation means solved problem. Google concedes enhanced models fall prey errors including conflating different dialects language, producing overly literal translations, poor performance particular genres subject matter informal spoken language. The tech giant attempting address ways, including Google Translate Community, gamified program recruits volunteers help improve performance lowresource languages translating words phrases checking translations correct. Just February, program, tandem emerging machine learning techniques, led addition Translate languages spoken combined 75 million people: Kinyarwanda, Odia Oriya, Tatar, Turkmen, Uyghur Uighur. Google isnt pursuit truly universal translator. In August 2018, Facebook revealed AI model uses combination wordforword translations, language models, backtranslations outperform systems language pairings. More recently, MIT Computer Science Artificial Intelligence Laboratory researchers presented unsupervised model i.e., model learns test data explicitly labeled categorized translate texts languages direct translational data two. In statement, Google diplomatically said grateful machine translation research academia industry, informed work. We accomplished [Google Translates recent improvements] synthesizing expanding variety recent advances, said company. [W]ith update, proud provide automatic translations relatively coherent, lowestresource 108 supported languages. VB Transform The AI event business leaders Hosted Online July 15 17 Learn More Most Read CES 2021 organizers planning physical event, come? How Google emerging AI techniques improve language translation quality LightOn researchers explain trained AI model optical coprocessor Caltech AI lab optimizes exoskeleton gait human comfort Stanford lab envisions delivery drones save energy taking bus UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. This Microsoft Excel training bundle 34 right Get lifetime amazing stock images videos 100 Inject real estate strategy tons data 30 Store 5TB data cloud life 80 Charge disinfect smartphone Qi charger 50 8 great deals safe healthy Save 10 great deals life better Memorial Day View deals store | 2,020 | [
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https://venturebeat.com/2020/09/17/rapidai-raises-25-million-to-analyze-medical-scans-with-ai-algorithms/ | 2020-09-17T00:00:00 | en | RapidAI raises $25 million to analyze medical scans with AI algorithms | VentureBeat |
RapidAI raises $25 million to analyze medical scans with AI algorithms | VentureBeat
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RapidAI raises $25 million to analyze medical scans with AI algorithms
Kyle Wiggers@Kyle_L_Wiggers September 17, 2020 6:00 AM
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RapidAI (formerly iSchemaView), a startup developing a portfolio of stroke imaging and assessment products, today closed a $25 million round. The company says the funds will be put toward strategic growth initiatives around the world.
“Given our growth and profitability, we intend to use the strength of our balance sheet for technology licensing and acquisitions,” CEO Don Listwin told VentureBeat via email. “We’re seeing multiple opportunities in other technologies and companies, and as a platform provider we see great opportunities for integration into our system.”
RapidAI asserts that computer vision has tremendous potential in medicine, and it’s not alone. Zebra Medical Vision spent three years architecting an end-to-end computer vision system capable of diagnosing breast cancer and cardiovascular disease, and startups like MedyMatch are applying AI to medical imaging scans from acute stroke victims. Also in the mix are heavy hitters like Google’s DeepMind, Google AI, and Arterys, which are using AI to detect the presence of diseases like cancer or degenerative eye conditions. DeepMind, for instance, recently partnered with the U.K.’s National Health Service to engineer an algorithm to search for early signs of blindness.
RapidAI has its origins at Stanford University, where Greg Albers, Roland Bammer, and Matus Straka developed a medical image processing platform dubbed Rapid with funding from Sequoia Capital’s Don Valentine. After installing Rapid in eight U.S. centers and a single European center for a U.S. National Institutes of Health study, Albers and Bammer cofounded RapidAI and purchased the rights to the Rapid technology from Stanford.
RapidAI offers a number of imaging products to address the over 15 million people who suffer strokes each year, according to the World Health Organization. These include:
Rapid MRI, which performs MRI image analysis to help in the analysis of salvageable brain tissue. It received U.S. Food and Drug Administration clearance in 2013, and RapidAI claims it can identify stroke patients who might respond to endovascular clot removal up to 12 hours after stroke onset.
Rapid Aspects, which uses algorithms to identify regions of the brain and generate scores that help assess patients’ eligibility for thrombectomy.
Rapid CTA and Rapid LVO, which highlight suspected large vessel occlusions by processing CT scans and delivering images in as little as three minutes.
Rapid CTP, which provides color-coded CT images spotlighting reduced cerebral blood flow, volume, and transit time to assess salvageable tissue in stroke victims. RapidAI claims CTP has been used and validated in over 10 clinical trials.
Rapid ICH, which processes CT images and analyzes them for hemorrhage.
Surgical Preview, which leverages computational models to highlight potential aneurysms, calculate and record measurements, compare patient scans, and simulate treatment scenarios.
All of RapidAI’s products feed into RapidAI Insights, a dashboard that provides access and permissions management controls for administrators. RapidAI Insights combines operational, clinical, and imaging data, offering reports on patient care decisions and treatment effectiveness through logs covering scan errors, processing times, patient volumes and demographics, logins by user, training participation, and more.
RapidAI also offers a HIPAA-compliant mobile app designed to give stroke team members access to results and preview files, plus the ability to communicate about patient care via an in-app messaging system. Alternatively, clinicians can use a web app to get notifications for new cases, as well as compressed scan images.
RapidAI says its AI algorithms have analyzed over 1 million scans from more than 1,600 hospitals in over 50 countries to date. The company recently received FDA clearance for Rapid LVO, and earlier in the year, RapidAI acquired Endovantage, a provider of aneurysm management products. (Rapid CTP, Rapid Aspects, Rapid CTA, and Rapid MRI have FDA clearance, and the Rapid platform is approved for use in a number of countries, including Canada, Mexico, Brazil, Japan, Israel, Vietnam, Australia, and New Zealand.)
The funding round was led by Lennertz & Co. Family Equity Fund. This is San Francisco-based RapidAI’s first public round since its founding in 2012. RapidAI, which has 150 employees and expects to have over 175 by the end of the year, had previously only raised $2.3 million, and it has been profitable ever since. A spokesperson said the company’s revenue is between $25 million and $50 million per year.Sign up for Funding Weekly to start your week with VB's top funding stories.
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| RapidAI raises $25 million to analyze medical scans with AI algorithms | RapidAI raises 25 million analyze medical scans AI algorithms 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 RapidAI raises 25 million analyze medical scans AI algorithms Kyle Wiggers September 17, 2020 6:00 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: RapidAI Automation Jobs Read latest special issue. Open Now RapidAI iSchemaView, startup developing portfolio stroke imaging assessment products, today closed 25 million round. The company says funds strategic growth initiatives world. Given growth profitability, intend use strength balance sheet technology licensing acquisitions, CEO Don Listwin told VentureBeat email. Were seeing multiple opportunities technologies companies, platform provider great opportunities integration system. RapidAI asserts vision tremendous potential medicine, alone. Zebra Medical Vision spent years architecting endtoend vision capable diagnosing breast cancer cardiovascular disease, startups like MedyMatch applying AI medical imaging scans acute stroke victims. Also mix heavy hitters like Googles DeepMind,Google AI, andArterys, AI detect presence diseases like cancer degenerative eye conditions. DeepMind, instance, recently partnered U.K.s National Health Service engineer algorithm search early signs blindness. RapidAI origins Stanford University, Greg Albers, Roland Bammer, Matus Straka developed medical image processing platform dubbed Rapid funding Sequoia Capitals Don Valentine. After installing Rapid U.S. centers single European center U.S. National Institutes Health study, Albers Bammer cofounded RapidAI purchased rights Rapid technology Stanford. RapidAI offers number imaging products address 15 million people suffer strokes year, according World Health Organization. These include: Rapid MRI, performs MRI image analysis help analysis salvageable brain tissue. It received U.S. Food Drug Administration clearance 2013, RapidAI claims identify stroke patients respond endovascular clot removal 12 hours stroke onset. Rapid Aspects, uses algorithms identify regions brain generate scores help assess patients eligibility thrombectomy. Rapid CTA Rapid LVO, highlight suspected large vessel occlusions processing CT scans delivering images little minutes. Rapid CTP, provides colorcoded CT images spotlighting reduced cerebral blood flow, volume, transit time assess salvageable tissue stroke victims. RapidAI claims CTP validated 10 clinical trials. Rapid ICH, processes CT images analyzes hemorrhage. Surgical Preview, leverages computational models highlightpotential aneurysms, calculate record measurements, compare patient scans, simulate treatment scenarios. All RapidAIs products feed RapidAI Insights, dashboard provides access permissions management controls administrators. RapidAI Insights combines operational, clinical, imaging data, offering reports patient care decisions treatment effectiveness logs covering scan errors, processing times, patient volumes demographics, logins user, training participation, more. RapidAI offers HIPAAcompliant mobile app designed stroke team members access results preview files, plus ability communicate patient care inapp messaging system. Alternatively, clinicians use web app notifications new cases, compressed scan images. RapidAI says AI algorithms analyzed 1 million scans 1,600 hospitals 50 countries date. The company recently received FDA clearance Rapid LVO, earlier year, RapidAI acquired Endovantage, provider aneurysm management products. Rapid CTP, Rapid Aspects, Rapid CTA, Rapid MRI FDA clearance, Rapid platform approved use number countries, including Canada, Mexico, Brazil, Japan, Israel, Vietnam, Australia, New Zealand. The funding round led Lennertz Co. Family Equity Fund. This San Franciscobased RapidAIs public round founding 2012. RapidAI, 150 employees expects 175 end year, previously raised 2.3 million, profitable since. A spokesperson said companys revenue 25 million 50 million year.Sign Funding Weekly start week VBs funding stories. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. . | 2,020 | [
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https://venturebeat.com/2021/01/27/ukko-raises-40-million-to-develop-food-allergy-treatments-with-ai/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2021-01-27T00:00:00 | en | Ukko raises $40 million to address food allergies with AI | VentureBeat |
Ukko raises $40 million to address food allergies with AI | VentureBeat
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Ukko raises $40 million to address food allergies with AI
Kyle Wiggers@Kyle_L_Wiggers January 27, 2021 4:00 AM
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Ukko, a 30-employee biotech company using AI to investigate solutions for food allergies and sensitivities, today raised $40 million in a series B round led by Bayer’s Leaps by Bayer. Ukko says the new funding will allow it to enter clinical trials with an investigational therapeutic for peanut allergies while accelerating development of its synthetic gluten for people with celiac and other disorders.
Food intolerances and sensitivities are extremely common and appear to be on the rise. In fact, it’s thought that up to 20% of the world’s population may have at least one food intolerance. By one estimate, roughly 6% to 7% of the U.S. population may be gluten-sensitive, for example, meaning that some 20 million people in the U.S. alone could have the condition. That could be why the global food allergy diagnosis and treatment market is expected to grow at a compound annual growth rate of 5.10% to reach 1.83 billion by 2023, according to Market Research Future.
Palo Alto, California-based Ukko, which was cofounded in 2016 by MIT graduate Anat Binur and Yanay Ofran, formerly a Columbia University research fellow, aims to apply machine learning technologies in immunology, computational biology, and protein engineering to develop new approaches to treating food sensitivities. The startup is currently building a map of the molecular structure of food allergies and disorders, which it says will enable it to engineer food proteins, eliminating their allergenicity while keeping “good” biochemical and nutritional characteristics intact.
“[Ukko] analyzes millions of antibodies from the blood of people with allergies. Our algorithms use [this] data to predict what in the peanut protein is triggering the allergic attack by the immune system,” a spokesperson told VentureBeat via email. “Similarly, we analyze millions of immune cells from children with gluten sensitivity to model the exact fragment of the gluten that triggers the attack of the immune system. After we identify the triggers, the elements on the proteins that are recognized by the immune system, we use algorithms to search for ways to minimally alter these elements in a way that will abrogate the binding of the immune system but will otherwise maintain the structure, function, and overall traits of the proteins. This is done using algorithms that relate the sequence of the food protein to its structure and function.”
A number of companies are in the process of developing technologies that address food sensitivities. In 2015, AbbVie paid for an option to acquire the rights to a drug that consists of enzymes meant to break down gluten before it can cause a reaction in the small intestine. BioLineRx is testing a polymer that binds to a key part of the gluten protein, preventing it from being absorbed by the body. And Alba Therapeutics has completed mid-stage trials of a drug called larazotide acetate that reportedly prevents gluten from squeezing between cell linings and setting off an inflammatory reaction.
Ukko claims to have preliminary data that suggests its investigational peanut and gluten proteins don’t trigger immune system allergic reactions. But the company has yet to complete a clinical trial or gain approval for its products from a regulatory agency, including the U.S. Food and Drug Administration (FDA).
Binur says Ukko is “committed to working closely” with the FDA and following “all applicable regulations” prior to marketing its food or therapeutics.
Continental Grain Company, PeakBridge Ventures, Skyviews Life Science, and Fall Line Capital participated in Ukko’s latest funding round, as well as existing investors Khosla Ventures, Innovation Endeavors, and Time Ventures. It brings the company’s total raised to nearly $50 million.VentureBeat
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| Ukko raises $40 million to address food allergies with AI | Ukko raises 40 million address food allergies AI VentureBeat VentureBeat Home The Machine GamesBeat Jobs Transform 2021 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 Please wait... Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Ukko raises 40 million address food allergies AI Kyle Wiggers January 27, 2021 4:00 AM Share Facebook Share Twitter Share LinkedIn Image Credit: Ukku How open banking driving huge innovation Learn fintechs forwardthinking FIs accelerating personalized financial products datarich APIs. Now Ukko, 30employee biotech company AI investigate solutions food allergies sensitivities, today raised 40 million series B round led Bayers Leaps Bayer. Ukko says new funding allow enter clinical trials investigational therapeutic peanut allergies accelerating development synthetic gluten people celiac disorders. Food intolerances sensitivities extremely common appear rise. In fact, thought 20 worlds population food intolerance. By estimate, roughly 6 7 U.S. population glutensensitive, example, meaning 20 million people U.S. condition. That global food allergy diagnosis treatment market expected grow compound annual growth rate 5.10 reach 1.83 billion 2023, according Market Research Future. Palo Alto, Californiabased Ukko, cofounded 2016 MIT graduate Anat Binur Yanay Ofran, Columbia University research fellow, aims apply machine learning technologies immunology, computational biology, protein engineering develop new approaches treating food sensitivities. The startup currently building map molecular structure food allergies disorders, says enable engineer food proteins, eliminating allergenicity keeping good biochemical nutritional characteristics intact. [Ukko] analyzes millions antibodies blood people allergies. Our algorithms use [this] data predict peanut protein triggering allergic attack immune system, spokesperson told VentureBeat email. Similarly, analyze millions immune cells children gluten sensitivity model exact fragment gluten triggers attack immune system. After identify triggers, elements proteins recognized immune system, use algorithms search ways minimally alter elements way abrogate binding immune maintain structure, function, overall traits proteins. This algorithms relate sequence food protein structure function. A number companies process developing technologies address food sensitivities. In 2015, AbbVie paid option acquire rights drug consists enzymes meant break gluten cause reaction small intestine. BioLineRx testing polymer binds key gluten protein, preventing absorbed body. And Alba Therapeutics completed midstage trials drug called larazotide acetate reportedly prevents gluten squeezing cell linings setting inflammatory reaction. Ukko claims preliminary data suggests investigational peanut gluten proteins dont trigger immune allergic reactions. But company complete clinical trial gain approval products regulatory agency, including U.S. Food Drug Administration FDA. Binur says Ukko committed working closely FDA following applicable regulations prior marketing food therapeutics. Continental Grain Company, PeakBridge Ventures, Skyviews Life Science, Fall Line Capital participated Ukkos latest funding round, existing investors Khosla Ventures, Innovation Endeavors, Time Ventures. It brings companys total raised nearly 50 million.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 networking features, Become member Transform 2021 Join worlds leading event applied AI enterprise business technology decisionmakers, presented 1 publisher AI coverage. Learn More jobs dream job today. Get Hired VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Product Comparisons Jobs About Careers 2021 VentureBeat. . | 2,021 | [
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https://venturebeat.com/2021/06/04/ai-weekly-chinas-massive-multimodal-model-highlights-ai-research-gap/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2021-06-04T00:00:00 | en | AI Weekly: China's massive multimodal model highlights AI research gap | VentureBeat |
AI Weekly: China's massive multimodal model highlights AI research gap | VentureBeat
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AI Weekly: China’s massive multimodal model highlights AI research gap
Kyle Wiggers@Kyle_L_Wiggers June 4, 2021 1:30 PM
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This week, researchers at the Beijing Academy of Artificial Intelligence (BAAI) announced the release of Wu Dao 2.0, a multimodal AI model capable of generating text indiscernible from human-crafted prose — and more. Containing 1.75 trillion parameters, the parts of the machine learning model learned from historical training data, Wu Dao 2.0 is 10 times larger than OpenAI’s 175-billion-parameter GPT- 3.
Wu Dao 2.0 is the latest example of what OpenAI policy director Jack Clark calls model diffusion, or multiple state and private actors developing GPT-3-style AI models. For example, Russia and France are training smaller-scale systems via Sberbank and LightOn’s PAGnol, while Korea’s Naver Labs is investing in the recently created HyperCLOVA. Clark notes that because these models reflect and magnify the data they’re trained on, different countries care about how their own cultures are represented in the models. The Wu Dao 2.0 announcement, then, is part of a general trend of nations asserting their own AI capabilities via training frontier models like GPT-3.
Wu Dao 2.0, which arrived three months after version 1.0’s March debut, is built on an open source system akin to Google’s Mixture of Experts, dubbed FastMoE. Mixture of Experts, a paradigm first proposed in the ’90s, keeps models specialized in different tasks within a larger model using a “gating network.” BAAI says Wu Dao 2.0 was trained with 4.9 terabytes of Chinese and English images and text both on clusters of supercomputers and conventional GPUs, giving it more flexibility than Google’s system because FastMoE doesn’t require proprietary hardware.
Wu Dao 2.0’s mulitmodal design affords it a range of skills, including the ability to perform natural language processing, text generation, image recognition, and image generation tasks. It can write essays, poems, and couplets in traditional Chinese, as well as captioning images and creating nearly photorealistic artwork, given natural language descriptions. According to Engadget, Wu Dao 2.0 can also power “virtual idols” and predict the 3D structures of proteins, like DeepMind’s AlphaFold.
“The way to artificial general intelligence is big models and big computer,” BAAI chair Dr. Zhang Hongjiang said in a statement. “What we are building is a power plant for the future of AI. With mega data, mega computing power, and mega models, we can transform data to fuel the AI applications of the future.”
AI nationalism
Wu Dao 2.0’s release comes during a surge in tech nationalism globally, particularly in China and parts of the Eurozone. Last November, China imposed new rules around tech exports, with the country’s Ministry of Commerce adding 23 items to its restricted list. Following Nvidia’s announcement that it intends to acquire U.K.-based chipmaker Arm, the majority of U.K.-area IT experts said the government should intervene to protect the country’s tech sector, according to a survey from the industry’s professional body (The Chartered Institute for IT).
Former U.S. chief technology officer Michael Kratsios, among others, has suggested state adversaries are pursuing uses of AI technologies that “aren’t in alignment with American values.” In February, the White House said it would bump non-defense-related AI investment to $2 billion annually by 2022, while U.S. President Joe Biden has proposed an increase in the amount of federal R&D spending to $300 billion over four years. And a U.S. Senate panel last month approved the Endless Frontier Act, pending legislation that would authorize more than $110 billion for basic and advanced technological research over five years.
But U.S. superiority in AI is an increasingly dim prospect. France recently took the wraps off a $1.69 billion (€1.5 billion) initiative aimed at transforming the country into a “global leader” in AI research and training. In 2018, South Korea unveiled a multiyear, $1.95 billion (KRW 2.2 trillion) effort to strengthen its R&D in AI, with the goal of establishing six AI-focused graduate schools by 2022 and training 5,000 AI specialists. And China, whose AI Innovation Action Plan for Colleges and Universities called for the establishment of 50 new AI institutions in 2020, is expected to leapfrog past the European Union within the next several years if current trends continue.
BAAI is funded by the Beijing government, which put 340 million yuan ($53.3 million) into the academy in 2018 and 2019 alone. A Beijing official pledged to continue support in a 2019 speech.
In March, former Google CEO Eric Schmidt urged lawmakers to ramp up funding in the AI space to prevent China from becoming the biggest player in the global AI market. Schmidt suggested doubling the nation’s budget for R&D in AI each year until it hits $32 billion in 2026. Citing the U.S. National Security Commission on Artificial Intelligence, Schmidt also said lawmakers need to incentivize public-private partnerships to develop AI applications across government agencies.
“The government is not today prepared for this new technology,” Schmidt told CNN’s Fareed Zakaria, noting that the use of AI to produce and spread harmful information poses a “threat to democracy” and could ultimately be used as a weapon of war. “We believe this is a national emergency and a threat to our nation unless we get our act together with respect to focusing on AI in the federal government and international security.”
So how might the U.S. make up for lost ground, despite the many challenges ahead? Last July, the President’s Council of Advisors on Science and Technology (PCAST) released a report outlining what it believes must happen for the U.S. to advance “industries of the future,” including AI. PCAST recommended driving opportunities for AI education and training, in part by securing pledges to scale investments for training and education of the U.S. workforce in AI; developing AI curricula and performance metrics at K-12 through postgraduate levels and for certificate and professional programs; creating incentives, recruitment, and retention programs for AI faculty at universities; and increasing National Science Foundation and Department of Education investments in AI educators, scientists, and technologists at all levels.
Last August, in a step toward these goals, the White House established 12 new research institutes focused on AI and quantum information science. But the release of Wu Dao 2.0 highlights the work that must be done before the U.S. can close the AI gap with other world superpowers.
For AI coverage, send news tips to Kyle Wiggers — and be sure to subscribe to the AI Weekly newsletter and bookmark our AI channel, The Machine.
Thanks for reading,
Kyle Wiggers
AI Staff WriterVentureBeat
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| AI Weekly: China's massive multimodal model highlights AI research gap | AI Weekly: Chinas massive multimodal model highlights AI research gap 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 Weekly: Chinas massive multimodal model highlights AI research gap Kyle Wiggers June 4, 2021 1:30 PM Share Facebook Share Twitter Share LinkedIn Transform 2021 Elevate enterprise data technology strategy. July 1216 Today Elevate enterprise data technology strategy Transform 2021. This week, researchers Beijing Academy Artificial Intelligence BAAI announced release Wu Dao 2.0, multimodal AI model capable generating text indiscernible humancrafted prose more. Containing 1.75 trillion parameters, parts machine learning model learned historical training data, Wu Dao 2.0 10 times larger OpenAIs 175billionparameter GPT 3. Wu Dao 2.0 latest example OpenAI policy director Jack Clark callsmodel diffusion, multiple state private actors developing GPT3style AI models. For example, Russia France training smallerscale systems Sberbank LightOns PAGnol, Koreas Naver Labs investing recently created HyperCLOVA. Clark notes models reflect magnify data theyre trained on, different countries care cultures represented models. The Wu Dao 2.0 announcement, then, general trend nations asserting AI capabilities training frontier models like GPT3. Wu Dao 2.0, arrived months version 1.0s March debut, built open source akin Googles Mixture Experts, dubbed FastMoE. Mixture Experts, paradigm proposed 90s, keeps models specialized different tasks larger model gating network. BAAI says Wu Dao 2.0 trained 4.9 terabytes Chinese English images text clusters supercomputers conventional GPUs, giving flexibility Googles FastMoE doesnt require proprietary hardware. Wu Dao 2.0s mulitmodal design affords range skills, including ability perform natural language processing, text generation, image recognition, image generation tasks. It write essays, poems, couplets traditional Chinese, captioning images creating nearly photorealistic artwork, given natural language descriptions. According Engadget, Wu Dao 2.0 power virtual idols predict 3D structures proteins, like DeepMinds AlphaFold. The way artificial general intelligence big models big computer, BAAI chair Dr. Zhang Hongjiang said statement. What building power plant future AI. With mega data, mega computing power, mega models, transform data fuel AI applications future. AI nationalism Wu Dao 2.0s release comes surge tech nationalism globally, particularly China parts Eurozone. Last November, China imposed new rules tech exports, countrys Ministry Commerce adding 23 items restricted list. Following Nvidias announcement intends acquire U.K.based chipmaker Arm, majority U.K.area IT experts said government intervene protect countrys tech sector, according survey industrys professional body The Chartered Institute IT. Former U.S. chief technology officer Michael Kratsios, others, suggested state adversaries pursuing uses AI technologies arent alignment American values. In February, White House said bump nondefenserelated AI investment 2 billion annually 2022, U.S. President Joe Biden proposed increase federal RD spending 300 billion years. And U.S. Senate panel month approved Endless Frontier Act, pending legislation authorize 110 billion basic advanced technological research years. But U.S. superiority AI increasingly dim prospect. France recently took wraps 1.69 billion 1.5 billion initiative aimed transforming country global leader AI research training. In 2018, South Korea unveiled multiyear, 1.95 billion KRW 2.2 trillion effort strengthen RD AI, goal establishing AIfocused graduate schools 2022 training 5,000 AI specialists. And China, AI Innovation Action Plan Colleges Universities called establishment 50 new AI institutions 2020, expected leapfrog past European Union years current trends continue. BAAI funded Beijing government, 340 million yuan 53.3 million academy 2018 2019 alone. A Beijing official pledged continue support 2019 speech. In March, Google CEO Eric Schmidt urged lawmakers ramp funding AI space prevent China biggest player global AI market. Schmidt suggested doubling nations budget RD AI year hits 32 billion 2026. Citing U.S. National Security Commission Artificial Intelligence, Schmidt said lawmakers need incentivize publicprivate partnerships develop AI applications government agencies. The government today prepared new technology, Schmidt told CNNs Fareed Zakaria, noting use AI produce spread harmful information poses threat democracy ultimately weapon war. We believe national emergency threat nation act respect focusing AI federal government international security. So U.S. lost ground, despite challenges ahead? Last July, Presidents Council Advisors Science Technology PCAST released report outlining believes happen U.S. advance industries future, including AI. PCAST recommended driving opportunities AI education training, securing pledges scale investments training education U.S. workforce AI; developing AI curricula performance metrics K12 postgraduate levels certificate professional programs; creating incentives, recruitment, retention programs AI faculty universities; increasing National Science Foundation Department Education investments AI educators, scientists, technologists levels. Last August, step goals, White House established 12 new research institutes focused AI quantum information science. But release Wu Dao 2.0 highlights work U.S. close AI gap world superpowers. For AI coverage, send news tips toKyle Wiggers sure subscribe theAI Weekly newsletterand bookmark AI channel,The Machine. Thanks reading, Kyle Wiggers AI Staff WriterVentureBeat 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 2021 VentureBeat. . | 2,021 | [
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https://venturebeat.com/2021/11/02/digital-transformation-in-tough-times-4-innovative-examples-powered-by-data-ai-and-flexible-infrastructure/ | 2021-11-02T00:00:00 | en | Digital transformation in tough times: 4 innovative examples powered by data, AI and flexible infrastructure | VentureBeat |
Digital transformation in tough times: 4 innovative examples powered by data, AI and flexible infrastructure | VentureBeat
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Digital transformation in tough times: 4 innovative examples powered by data, AI and flexible infrastructure
Intel
November 2, 2021 4:10 AM
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Drones with data intelligence capture real-time, intelligent image data of wiring, transformers and other remote field infrastructure. A birds-eye view and AI-analysis makes it much easier for utilities to find and fix potential problems that can spark destructive wildfires. Image Credit: Intel and SAP
Presented by Intel
COVID-19. Hurricanes. Power outages. Even without these extraordinary challenges, the last two years have offered plenty of new pressures to solve complex problems and do things differently. For heads-up enterprises, calamity has joined necessity as the mother of invention.
“In 2020 and 2021, the world had to pivot quickly to overcome big challenges across many fronts,” says Sandra Rivera, executive vice president and general manager of the Datacenter and AI Group at Intel. “To respond effectively, infrastructure needs to be flexible, scalable, highly secure and optimized for real-time data analytics and machine learning. Achieving that in an agile and cost-effective way requires best-in class platform solutions with tightly coupled hardware and software.”
Here are four real examples of diverse challenges solved by large-scale digital transformation using large data sets and flexible infrastructure. What do they have in common? Growing volumes of data, critical requirements for accelerated processing to handle the intensity of AI/ML algorithms, heightened security concerns, and the need for reliability that may exceed traditional mission-critical systems.
Supply chain: Smarter ways to optimize order fulfillment
From potato chips to semiconductor chips, disruptions in supply chains caused by the pandemic and natural disasters continue to wreak havoc with order fulfillment. Consumers and businesses alike have been impacted; with manufacturing, construction, and retail hit hardest.
“Everybody’s buying groceries online,” says Rivera. “If your milk doesn’t show up when you want it, that’s a problem. You want to get that kind of insight early, so the delivery truck can ensure the milk arrives as scheduled.” Such everyday problems pale next to the massive, ongoing disruptions faced by auto companies, vaccine makers, and other businesses worldwide.
Against this backdrop, a team of leading industry partners including Intel, SAP, and Red Hat has developed a novel new approach to optimizing order fulfillment. The modern supply chain system and order management solution uses advanced analytics and machine learning to proactively predict and prescribe options that can help avoid delivery delays.
Here’s how it works:
An incoming order triggers two ML models based on historical order delivery data.
One model predicts the likelihood of delay, and multiplies it by the revenue (or margin) of the incoming order to yield the expected revenue (or margin) at risk.
Another model predicts the expected length of the delay, in days.
The order is prioritized for fulfillment based on expected revenue at risk and expected delivery delays.
Calculating an expected delivery delay and the revenue margin (or risk). Credit: Intel and SAP
An executive dashboard delivers the predictive delivery risk score and a “days-delayed” forecast estimate. This knowledge empowers order-fulfillment and distribution center supervisors with data-driven insights and enables them to take corrective action prior to an order-delivery delay.
How they built it
A wide range of data sources feed the AI/ML models, including CRM, Material Master object model, sales and distribution monitor, Retail industry solution, and SAP S/4HANA Cloud. The variety and integration make it easy to consider inventory/out-of-stock data, routing information, and specialized handling requirements like climate control and customs/regulatory controls, and many others.
The smart system is notable because it also can tap into relevant third-party data sources, such as international customs and trade regulations, weather, and traffic. It can also use social-media-driven insights into trending product shortages and first-responder containment strategies and needs. These capabilities can help prepare and empower enterprises to proactively manage their supply chains — no matter what the operating environment calls for.
Core supply chain functionality is provided by The SAP Data Warehouse Cloud and on-premise SAP Data Intelligence. Generation Intel Xeon Scalable processors and extensions help handle the high volume of data and need for fast insights. The Red Hat OpenShift Container Platform and Storage serve as key building blocks. Integration is by Inspired Intellect, an end-to-end service provider of data management, analytics, and application development.
Developers used the Intel oneAPI Deep Neural Network Library (Intel oneDNN) to improve the productivity and performance of the deep learning (DL) framework. This included taking advantage of Intel Xeon’s built-in AI-acceleration capabilities, like bfloat16 support, to speed up training for AI models. The Intel DAAL library optimizes performance and scalability. Automated capabilities of SAP Data Intelligence help simplify development of ML algorithms.
Benefits for business and technology groups and customers
For technology groups, the new approach delivers enterprise-grade scalability in performance and DevOps. For business, the new system helps boost recognition of potential revenues. It also helps mitigate the risk and impact from recurring defaults on service-level agreements (SLAs).
Use is not limited to supply-chains. According to Rivera, the reusable and scalable framework can be applied to use cases and business challenges in a variety of verticals. Most importantly, she says, the new approach helps improve customer experience and satisfaction.
Bottom line: Holistic, data-driven decisions let enterprises better anticipate and respond to the dynamic demands challenging stable supply chains.
Go deeper: Intel, SAP & Red Hat: Order Fulfillment Using Machine Learning. (White paper) (Video)
Utilities: Drones with data intelligence for safety measures
2021 continues the scorching march of wildfires worldwide with 43,555 so far in the U.S. alone. Utilities in California and elsewhere struggle to service far-flung poles, lines, and other electrical equipment that can spark catastrophic blazes and power outages.
A new co-innovation by SAP and Intel uses unmanned aerial vehicles with data intelligence to deliver a birds-eye view of potential utility problems and schedule preventive maintenance. The drones capture real-time image data of wiring, transformers, and other infrastructure feeding transmission and distribution lines. That makes it far easier to, for example, quickly spot plastic debris stuck in wires, a rotted wooden pole, or a tank located too close to other equipment.
High-risk areas are identified and prioritized by deep learning algorithms in the Intel Geospatial platform, an open, cloud-based platform for multisource geovisual data management and AI-powered analytics. Experts at the utility then can log into the cloud system for a top-down view of the findings, which are color-coded by equipment type and risk level. Once the inspection analysis is complete, results are pushed to SAP S/4HANA plant maintenance. This triggers notifications, which are bundled into field work orders using the SAP Asset Manager mobile app to address anything that requires attention or human intervention.
Visual field data from aerial drones triggers AI-guided notifications and work orders for utility crews. Credit: Intel and SAP.
Having UAVs collect intelligent data that connects back to equipment inspection, scheduling, and maintenance could be the future of automated wildfire risk mitigation, says Ron Gray, senior solution engineer at SAP.
“With analytical insights on where the biggest potential hazards are, electric companies can develop a prioritized schedule of inspections and maintenance plans, including outage management timeframes,” Gray says. “This would also help utilities correct missing or inaccurate information on equipment with fact-based mapping data, and prove compliance with regulatory reporting mandates.”
Go deeper: AI-Powered Visual Inspection (Video)
Healthcare: COVID management and safe return to work
When COVID-19 hit, Mercy Healthcare, like many providers, needed to quickly answer critical questions about how to ensure worker safety, handle capacity planning, and deliver the best patient care.
Administrators at the St. Louis-based regional system soon realized that getting the best answers depended on better data sets. “You can’t answer in-depth questions from higher-level data sources,” says Curtis Dudley, VP of enterprise analytics and data services for Mercy. “The key to creating better datasets that lead to insight is to dig deeper into the unstructured data.”
So, Mercy decided on a novel approach: repurposing an existing analytics system to combine structured and unstructured data to create a smarter view of how COVID-19 was spreading and how it affected patients at its 51 facilities.
Teams blended structured data from its EHR and other data sources with raw, unstructured data from clinical notes. Working with Intel and SAP, researchers used NLP and AI to develop a new way to transform the notes into structured, indexed data usable by the analytics software. (Data was anonymized to avoid matching with a specific patient.)
At Mercy Healthcare, NLP and AI turn more than 700 million clinical notes into structured, indexed data usable by analytics software to improve treatment of COVID patients. Credit: Intel
The combined data gets loaded into an SAP HANA database running on servers equipped with Intel Xeon Scalable processors, Intel Optane persistent memory (PMem), and Intel Ethernet 700 Series Network Adapters. Finally, researchers created analytics models and fed the results into custom dashboards and reports. In building the analytics system, Mercy digitized, curated, and enriched more than 700 million clinical notes.
Dudley says the system gives researchers a much deeper view of how medications, medical devices, capacity data, and treatments affect patient outcomes. Ultimately, it provides a better understanding of how to treat COVID-19 patients.
“This real-world evidence (RWE) platform is helping Mercy and some of its neighboring health systems, in addition to drug and medical device makers, address the needs of patients and healthcare providers,” he says. “It will continue to provide value after the COVID-19 pandemic recedes.”
Go deeper: Mercy: Harnessing Data to Battle COVID-19 (White Paper, Video)
Calculating and managing COVID risk while preserving privacy
“What happens when everybody starts coming back?” Heather Morrison, head of the SAP Global Marketing Experience Center and others began wondering last summer. How can customers and employees at these innovation centers worldwide feel and be protected and safe beyond wearing masks and practicing social hygiene?
Today, that anything-but simple challenge takes on new immediacy, as organizations around the world grapple with how to move from virtual-only meetings and safely bring people back to the office. A new pandemic cohort management dashboard helps organizations manage personal and collective risks from people returning to work as the pandemic rages on.
To do so, the pilot project gathers data on attendees before, during, and after in-person meetings, explains Kai Wussow, head of digital transformation at SAP. People are asked; “What have you been doing in the last two weeks? Who have you met? Have you been to a concert or a religious service? To a school or business meeting?” The data is digitized and used to assess the risk of in-person meeting — and makes it easier to alert public health authorities in case of an infection or outbreak.
From the outset, data privacy and security were of paramount importance. Europe’s strict GDPR rules and other regulations make it crucial to protect private data. Says Wussow: “Data needed to be secure and available. We needed to store little bits of information as safely as possible.”
The Pandemic Cohort Management Suite gathers and shares data from citizens, destinations, and government health departments to support both prevention and mitigation measures during pandemics. Credit: Intel and SAP
In a typical group-event scenario, each individual attendee downloads a mobile app onto a smartphone that connects to a virtual machine (VM) with Intel SGX Safeguard Extensions.
Intel SGX creates security-enabled enclaves in memory where data and application code are protected. The app serves as a virtual “pandemic wallet.” Like a real wallet, it holds valuable, encrypted personal data that only the individual can view (including name, address, testing, tracing, vaccination credentials, and current health symptoms). Its main function is to calculate the person’s risk of being infectious or becoming infected during specific planned activities. Risk is assessed both on medical data as well as activities during the past two weeks. Both are stored in the personal pandemic-diary section of the app.
Normally, after collection this data would be encrypted and sent to servers, where it is unencrypted. In the reinvented approach, data is kept in the secure, on-chip enclaves on the server CPU where collective risk is calculated; encrypted data is never shared. The net effect is end-to-end security and privacy for individual and collective data.
The project impressed officials in Heidelberg, Germany, who launched a proof-of-concept project. “We can safely collect different data depending on whether the person is going to, say, a restaurant, swimming pool, or university,” says Mayor Eckart Wurzner. “The ability to send information to the health department with privacy is one of the leading points.” He concludes: “This approach is future-oriented and innovative. It’s exactly what we need.”
As workers return to work, developers say the dashboard can play a key role in slowing COVID. Says SAP’s Morrison: “Because all the facts are digitized, you can almost automatically isolate the people who need to be isolated, manage the risk, and break the chain of infections.”
Go deeper: Share Data While Helping to Protect User Privacy (White Paper)
Bottom line
Whether sparked by crisis, opportunity, or a combination of both, digital transformation using proven technology and providers gives enterprises the flexibility to securely and quickly innovate smart, mission-critical applications in an uncertain, fast-changing world.
Sponsored articles are content produced by 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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| Digital transformation in tough times: 4 innovative examples powered by data, AI and flexible infrastructure | Digital transformation tough times: 4 innovative examples powered data, AI flexible infrastructure VentureBeat Skip main content VentureBeat Home Events GamesBeat Jobs Low Code No Code Summit Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI 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 Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat 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 Sponsored Digital transformation tough times: 4 innovative examples powered data, AI flexible infrastructure Intel November 2, 2021 4:10 AM Share Facebook Share Twitter Share LinkedIn Drones data intelligence capture realtime, intelligent image data wiring, transformers remote field infrastructure. A birdseye view AIanalysis makes easier utilities fix potential problems spark destructive wildfires. Image Credit: Intel SAP Presented Intel COVID19. Hurricanes. Power outages. Even extraordinary challenges, years offered plenty new pressures solve complex problems things differently. For headsup enterprises, calamity joined necessity mother invention. In 2020 2021, world pivot quickly overcome big challenges fronts, says Sandra Rivera, executive vice president general manager Datacenter AI Group Intel. To respond effectively, infrastructure needs flexible, scalable, highly secure optimized realtime data analytics machine learning. Achieving agile costeffective way requires bestin class platform solutions tightly coupled hardware software. Here real examples diverse challenges solved largescale digital transformation large data sets flexible infrastructure. What common? Growing volumes data, critical requirements accelerated processing handle intensity AIML algorithms, heightened security concerns, need reliability exceed traditional missioncritical systems. Supply chain: Smarter ways optimize order fulfillment From potato chips semiconductor chips, disruptions supply chains caused pandemic natural disasters continue wreak havoc order fulfillment. Consumers businesses alike impacted; manufacturing, construction, retail hit hardest. Everybodys buying groceries online, says Rivera. If milk doesnt want it, thats problem. You want kind insight early, delivery truck ensure milk arrives scheduled. Such everyday problems pale massive, ongoing disruptions faced auto companies, vaccine makers, businesses worldwide. Against backdrop, team leading industry partners including Intel, SAP, Red Hat developed novel new approach optimizing order fulfillment. The modern supply chain order management solution uses advanced analytics machine learning proactively predict prescribe options help avoid delivery delays. Heres works: An incoming order triggers ML models based historical order delivery data. One model predicts likelihood delay, multiplies revenue margin incoming order yield expected revenue margin risk. Another model predicts expected length delay, days. The order prioritized fulfillment based expected revenue risk expected delivery delays. Calculating expected delivery delay revenue margin risk. Credit: Intel SAP An executive dashboard delivers predictive delivery risk score daysdelayed forecast estimate. This knowledge empowers orderfulfillment distribution center supervisors datadriven insights enables corrective action prior orderdelivery delay. How built A wide range data sources feed AIML models, including CRM, Material Master object model, sales distribution monitor, Retail industry solution, SAP S4HANA Cloud. The variety integration easy consider inventoryoutofstock data, routing information, specialized handling requirements like climate control customsregulatory controls, others. The smart notable tap relevant thirdparty data sources, international customs trade regulations, weather, traffic. It use socialmediadriven insights trending product shortages firstresponder containment strategies needs. These capabilities help prepare empower enterprises proactively manage supply chains matter operating environment calls for. Core supply chain functionality provided The SAP Data Warehouse Cloud onpremise SAP Data Intelligence. Generation Intel Xeon Scalable processors extensions help handle high volume data need fast insights. The Red Hat OpenShift Container Platform Storage serve key building blocks. Integration Inspired Intellect, endtoend service provider data management, analytics, application development. Developers Intel oneAPI Deep Neural Network Library Intel oneDNN improve productivity performance deep learning DL framework. This included taking advantage Intel Xeons builtin AIacceleration capabilities, like bfloat16 support, speed training AI models. The Intel DAAL library optimizes performance scalability. Automated capabilities SAP Data Intelligence help simplify development ML algorithms. Benefits business technology groups customers For technology groups, new approach delivers enterprisegrade scalability performance DevOps. For business, new helps boost recognition potential revenues. It helps mitigate risk impact recurring defaults servicelevel agreements SLAs. Use limited supplychains. According Rivera, reusable scalable framework applied use cases business challenges variety verticals. Most importantly, says, new approach helps improve customer experience satisfaction. Bottom line: Holistic, datadriven decisions let enterprises better anticipate respond dynamic demands challenging stable supply chains. Go deeper: Intel, SAP Red Hat: Order Fulfillment Using Machine Learning. White paper Video Utilities: Drones data intelligence safety measures 2021 continues scorching march wildfires worldwide 43,555 far U.S. alone. Utilities California struggle service farflung poles, lines, electrical equipment spark catastrophic blazes power outages. A new coinnovation SAP Intel uses unmanned aerial vehicles data intelligence deliver birdseye view potential utility problems schedule preventive maintenance. The drones capture realtime image data wiring, transformers, infrastructure feeding transmission distribution lines. That makes far easier to, example, quickly spot plastic debris stuck wires, rotted wooden pole, tank located close equipment. Highrisk areas identified prioritized deep learning algorithms Intel Geospatial platform, open, cloudbased platform multisource geovisual data management AIpowered analytics. Experts utility log cloud topdown view findings, colorcoded equipment type risk level. Once inspection analysis complete, results pushed SAP S4HANA plant maintenance. This triggers notifications, bundled field work orders SAP Asset Manager mobile app address requires attention human intervention. Visual field data aerial drones triggers AIguided notifications work orders utility crews. Credit: Intel SAP. Having UAVs collect intelligent data connects equipment inspection, scheduling, maintenance future automated wildfire risk mitigation, says Ron Gray, senior solution engineer SAP. With analytical insights biggest potential hazards are, electric companies develop prioritized schedule inspections maintenance plans, including outage management timeframes, Gray says. This help utilities correct missing inaccurate information equipment factbased mapping data, prove compliance regulatory reporting mandates. Go deeper: AIPowered Visual Inspection Video Healthcare: COVID management safe return work When COVID19 hit, Mercy Healthcare, like providers, needed quickly answer critical questions ensure worker safety, handle capacity planning, deliver best patient care. Administrators St. Louisbased regional soon realized getting best answers depended better data sets. You answer indepth questions higherlevel data sources, says Curtis Dudley, VP enterprise analytics data services Mercy. The key creating better datasets lead insight dig deeper unstructured data. So, Mercy decided novel approach: repurposing existing analytics combine structured unstructured data create smarter view COVID19 spreading affected patients 51 facilities. Teams blended structured data EHR data sources raw, unstructured data clinical notes. Working Intel SAP, researchers NLP AI develop new way transform notes structured, indexed data usable analytics software. Data anonymized avoid matching specific patient. At Mercy Healthcare, NLP AI turn 700 million clinical notes structured, indexed data usable analytics software improve treatment COVID patients. Credit: Intel The combined data gets loaded SAP HANA database running servers equipped Intel Xeon Scalable processors,Intel Optane persistent memory PMem,and Intel Ethernet 700 Series Network Adapters. Finally, researchers created analytics models fed results custom dashboards reports. In building analytics system, Mercy digitized, curated, enriched 700 million clinical notes. Dudley says gives researchers deeper view medications, medical devices, capacity data, treatments affect patient outcomes. Ultimately, provides better understanding treat COVID19 patients. This realworld evidence RWE platform helping Mercy neighboring health systems, addition drug medical device makers, address needs patients healthcare providers, says. It continue provide value COVID19 pandemic recedes. Go deeper: Mercy: Harnessing Data Battle COVID19 White Paper, Video Calculating managing COVID risk preserving privacy What happens everybody starts coming back? Heather Morrison, head SAP Global Marketing Experience Center began wondering summer. How customers employees innovation centers worldwide feel protected safe wearing masks practicing social hygiene? Today, anythingbut simple challenge takes new immediacy, organizations world grapple virtualonly meetings safely bring people office. A new pandemic cohort management dashboard helps organizations manage personal collective risks people returning work pandemic rages on. To so, pilot project gathers data attendees before, during, inperson meetings, explains Kai Wussow, head digital transformation SAP. People asked; What weeks? Who met? Have concert religious service? To school business meeting? The data digitized assess risk inperson meeting makes easier alert public health authorities case infection outbreak. From outset, data privacy security paramount importance. Europes strict GDPR rules regulations crucial protect private data. Says Wussow: Data needed secure available. We needed store little bits information safely possible. The Pandemic Cohort Management Suite gathers shares data citizens, destinations, government health departments support prevention mitigation measures pandemics. Credit: Intel SAP In typical groupevent scenario, individual attendee downloads mobile app smartphone connects virtual machine VM Intel SGX Safeguard Extensions. Intel SGX creates securityenabled enclaves memory data application code protected. The app serves virtual pandemic wallet. Like real wallet, holds valuable, encrypted personal data individual view including name, address, testing, tracing, vaccination credentials, current health symptoms. Its main function calculate persons risk infectious infected specific planned activities. Risk assessed medical data activities past weeks. Both stored personal pandemicdiary section app. Normally, collection data encrypted sent servers, unencrypted. In reinvented approach, data kept secure, onchip enclaves server CPU collective risk calculated; encrypted data shared. The net effect endtoend security privacy individual collective data. The project impressed officials Heidelberg, Germany, launched proofofconcept project. We safely collect different data depending person going to, say, restaurant, swimming pool, university, says Mayor Eckart Wurzner. The ability send information health department privacy leading points. He concludes: This approach futureoriented innovative. Its exactly need. As workers return work, developers dashboard play key role slowing COVID. Says SAPs Morrison: Because facts digitized, automatically isolate people need isolated, manage risk, break chain infections. Go deeper: Share Data While Helping Protect User Privacy White Paper Bottom line Whether sparked crisis, opportunity, combination both, digital transformation proven technology providers gives enterprises flexibility securely quickly innovate smart, missioncritical applications uncertain, fastchanging world. Sponsored articles content produced company paying post business relationship VentureBeat, theyre clearly marked. Content produced editorial team influenced advertisers sponsors way. For information, contact sales Stabilize growth Join Trinet Dec. 1 provide tips avoid pitfalls toofast growth, bring focus consumer, recognize signs creating difficulties team, more. 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. | 2,021 | [
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https://venturebeat.com/2022/06/06/andrew-ngs-landing-ai-aims-to-help-manufacturers-deploy-ai-vision-systems/ | 2022-06-06T00:00:00 | en | Andrew Ng’s Landing AI aims to help manufacturers deploy AI vision systems | VentureBeat |
Andrew Ng’s Landing AI aims to help manufacturers deploy AI vision systems | VentureBeat
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Andrew Ng’s Landing AI aims to help manufacturers deploy AI vision systems
Jean Thilmany
June 6, 2022 5:00 AM
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Image Credit: mnbb/Getty Images
Manufacturers are making strides toward Industry 4.0, a movement to tie a company’s factory floor technology with the internet of things, business and operation systems, supply chain and aftermarket technology, and scores of equipment.
That includes vision inspection systems, which are increasingly going high-tech with the addition of machine learning, artificial intelligence (AI) algorithms that can be trained to catch small blemishes and disfigurements. The information returned from AI inspection systems is part of the massive operating information that can sense, analyze, and respond to changing company conditions.
The resulting data is used to streamline operations and improve efficiency, which lead to massive savings – the premise of Industry 4.0.
AI in computer vision is no stranger to manufacturing Industry 4.0 or to a number of other markets, such as biomedical and consumer goods. The research firm MarketsandMarkets has estimated the AI in computer vision market at $15.9 billion in 2021 and predicted it will grow by more than 25 percent to reach $ 51.3 billion by 2026.
Two years ago, Andrew Ng, among the most prominent figures in AI, stepped into this arena by founding Landing AI, which makes AI vision systems software that can be easily installed and trained using its LandingLens system. As a startup, the company focused on AI inspection for manufacturing systems, but over the years that outlook has grown to encompass other industries, says Kai Yang, vice president of products at Landing AI.
But by its very nature, the tool has not always been easy for factory engineers to deploy on their lines, Yang says.
Deploying deep learning on the production floor
Today, the company announced its LandingEdge, which customers can use to deploy deep-learning based vision inspection to their production floor. The company’s first product, Landing enables teams, who don’t have to be trained software engineers, to develop deep learning models. LandingEdge extends that capability into deployment, Yang says.
“Strategically, manufacturers start AI with inspection,” Yang said. “They use cameras to repurpose the human looking at the product, which makes inspection more precise.
Ng’s company, like others in the AI vision space, faced a problem: It took an expert to write the code that would integrate the cloud-based platform with a company’s vision system. Getting the image from the factory floor to the cloud so the platform could search for faults — then returning the inspected image back to the factory system — was the purview of a skilled programmer.
LandingEdge attempts to simplify the platform deployment for a manufacturer. Typically users set up a method to “train” their vision system by plugging the LandingEdge app into programmable logical controller and cameras. The PLC continuously monitors the state of cameras and the vision system itself.
After deployment, users present the system with images faults, which, through the help of AI, it gets better and better at identifying, Yang said.
Significantly, AI for vision systems can find dramatically more defects on the factory floor than vision systems that don’t include AI. For instance, an automatic system couldn’t recognize a scratch, Yang said.
“Scratches can have different shapes, depths and color,” he said. “I could write code that says a scratch can be five to 500 pixels in a certain color range, but there’d be no way to enumerate all the possibilities.
“With deep learning, you just label the scratch whenever you see a new one and after a couple of them the system will learn the presentation of the defect,” he added.
AI-driven vision systems competitors
Landing AI isn’t the only maker of AI-driven vision system technology, of course. Kitov.ai and Cognex are two large ones. Fujitsu has also been Fujitsu Laboratories has developed AI-enabled recognition systems for the electronics industry. Many of these companies, like Landing AI, have certification programs that ensure their software is compatible with vision hardware currently on the market.
Last month, for example, Landing AI announced it has joined NVIDIA Metropolis, one such certification program. Many LandingLens customers use the NVIDIA Jetson edge AI platform for their vision hardware system, said Carl Lewis, senior director of customer success at Landing AI.
The program offers opportunities for partners to collaborate with industry-leading experts and other AI-driven organizations, Lewis said.
Ng, among the most prominent figures in AI, regularly extolls the future of moving AI beyond big tech and into manufacturing. While he founded Landing AI to facility 2017 to facilitate the adoption of AI in manufacturing, the company is now seeking to move vision-system AI into other industries as well, Yang said.
The company began with manufacturing because it had been a challenge to send images to the cloud for inspection and to get them back “in a place where a stable internet just doesn’t happen,” he said.
The company is now exploring LandingLens and LandingEdge for use in the health sciences to, for example, watch petri dishes. The system can report when the culture inside the dishes has reached the correct stage for human intervention, Yang said, adding that other uses include the agricultural industry, to ensure plants are healthy and fields are weed free.
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| Andrew Ng’s Landing AI aims to help manufacturers deploy AI vision systems | Andrew Ngs Landing AI aims help manufacturers deploy AI vision systems VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline Transform 2022 Account Settings Log Out Become Member VentureBeat Home 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 Data Pipeline Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat 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 Andrew Ngs Landing AI aims help manufacturers deploy AI vision systems Jean Thilmany June 6, 2022 5:00 AM Share Facebook Share Twitter Share LinkedIn Image Credit: mnbbGetty Images Manufacturers making strides Industry 4.0, movement tie companys factory floor technology internet things, business operation systems, supply chain aftermarket technology, scores equipment. That includes vision inspection systems, increasingly going hightech addition machine learning, artificial intelligence AI algorithms trained catch small blemishes disfigurements. The information returned AI inspection systems massive operating information sense, analyze, respond changing company conditions. The resulting data streamline operations improve efficiency, lead massive savings premise Industry 4.0. AI vision stranger manufacturing Industry 4.0 number markets, biomedical consumer goods. The research firm MarketsandMarkets estimated AI vision market 15.9 billion 2021 predicted grow 25 percent reach 51.3 billion 2026. Two years ago, Andrew Ng, prominent figures AI, stepped arena founding Landing AI, makes AI vision systems software easily installed trained LandingLens system. As startup, company focused AI inspection manufacturing systems, years outlook grown encompass industries, says Kai Yang, vice president products Landing AI. But nature, tool easy factory engineers deploy lines, Yang says. Deploying deep learning production floor Today, company announced LandingEdge, customers use deploy deeplearning based vision inspection production floor. The companys product, Landing enables teams, dont trained software engineers, develop deep learning models. LandingEdge extends capability deployment, Yang says. Strategically, manufacturers start AI inspection, Yang said. They use cameras repurpose human looking product, makes inspection precise. Ngs company, like AI vision space, faced problem: It took expert write code integrate cloudbased platform companys vision system. Getting image factory floor cloud platform search faults returning inspected image factory purview skilled programmer. LandingEdge attempts simplify platform deployment manufacturer. Typically users set method train vision plugging LandingEdge app programmable logical controller cameras. The PLC continuously monitors state cameras vision itself. After deployment, users present images faults, which, help AI, gets better better identifying, Yang said. Significantly, AI vision systems dramatically defects factory floor vision systems dont include AI. For instance, automatic recognize scratch, Yang said. Scratches different shapes, depths color, said. I write code says scratch 500 pixels certain color range, thered way enumerate possibilities. With deep learning, label scratch new couple learn presentation defect, added. AIdriven vision systems competitors Landing AI isnt maker AIdriven vision technology, course. Kitov.ai Cognex large ones. Fujitsu Fujitsu Laboratories developed AIenabled recognition systems electronics industry. Many companies, like Landing AI, certification programs ensure software compatible vision hardware currently market. Last month, example, Landing AI announced joined NVIDIA Metropolis, certification program. Many LandingLens customers use NVIDIA Jetson edge AI platform vision hardware system, said Carl Lewis, senior director customer success Landing AI. The program offers opportunities partners collaborate industryleading experts AIdriven organizations, Lewis said. Ng, prominent figures AI, regularly extolls future moving AI big tech manufacturing. While founded Landing AI facility 2017 facilitate adoption AI manufacturing, company seeking visionsystem AI industries well, Yang said. The company began manufacturing challenge send images cloud inspection place stable internet doesnt happen, said. The company exploring LandingLens LandingEdge use health sciences to, example, watch petri dishes. The report culture inside dishes reached correct stage human intervention, Yang said, adding uses include agricultural industry, ensure plants healthy fields weed free. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Learn membership. Author Jean Thilmany Topics Applied AI Business Transform 2022 Join AI data leaders insightful talks exciting networking opportunities inperson July 19 virtually July 2028. Now Join forces VentureBeat upcoming AI data events Sponsor VB Events VentureBeat Home 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. . 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https://venturebeat.com/2022/07/04/does-ai-sentience-matter-to-the-enterprise/ | 2022-07-04T00:00:00 | en | Does AI sentience matter to the enterprise? | VentureBeat |
Does AI sentience matter to the enterprise? | VentureBeat
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Does AI sentience matter to the enterprise?
Arthur Cole@acole602
July 4, 2022 6:20 AM
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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
Can AI become sentient? That question has been burning through technology circles for several weeks now, ever since a lone Google engineer claimed his LAMDA model had achieved both self-awareness and a soul.
While this is an important question, it is not something that the enterprise needs to concern itself with just yet. Even if such an algorithm were to arise, would it be all that useful in a practical sense?
Artificial awareness
AI sentience has been a topic of debate for decades, but it got a kick-start last month when Google engineer, Blake Lemoine, posted conversations with a chatbot that he claimed proved it was sentient. Lemoine was quickly put on leave, but it’s interesting to note that this was for violating company confidentiality policies, not that the claims of sentience had crossed some kind of line.
Critics were quick to claim that Lemoine had fallen prey to the “Eliza Effect,” a kind of digital anthropomorphism that was first identified in the 1960s when researchers believed that their AI models had become sentient as well. While this may seem like a harmless distraction, it has, in fact, become a serious problem in today’s connected world.
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Eugenia Kuyda, CEO of chatbot developer Replika, says the phenomenon is becoming so widespread these days that people are starting to build real relationships with their talking avatars. Even sometimes to the point that they are reporting their Replikas are being abused by the company’s engineers. Most likely, this was due to the user posing leading questions to the bot, but it still points to a disturbing trend. Users will be able to create companions of their choosing in order to receive more rewarding companionship than they would with a real person.
Philosophers have been debating that nature of sentience since ancient times, of course, and we are still arguing over how much sentience should be ascribed to non-human animals. But author and lecturer Melanie Mitchell says all AI fails the sentience test in several important ways. First, it has no connection to the real world, just the language it has been exposed to. Secondly, it has no memory – turn it off or cease interacting with it, and it doesn’t remember the past. This is crucial to establish a sense of self. Just like any algorithm, AI crunches numbers and determines probabilities – even when it is determining the most natural, emotive way to conduct a dialogue.
Enterprise sentience
But if artificial sentience is not real yet, why are some tech vendors touting their ability to create the “sentient enterprise”? For one thing, ambiguity in terminology has long been a marketer’s dream. However, the fact remains that even though today’s AI is not sentient, it still provides a number of useful capabilities to enterprise data environments. For one thing, EnterpriseAI’s Alex Woodie says it does wonders for call centers, providing natural interactions with an unlimited number of users simultaneously at any time. As well, it is showing remarkable aptitude at everything from process automation toresource management and even security.
If anything, then, the danger in the debate over AI sentience is that it can distract the enterprise from the more urgent issues surrounding the technology’s development and implementation. VB’s senior AI reporter, Sharon Goldman, noted the emerging pieces of legislation and regulatory frameworks that are taking shape in the U.S. and Europe. This pending legislation could limit where, when and how AI is to be utilized in public and private settings. As well, there is ongoing debate over crucial aspects of AI performance, including bias, ethics and overall control.
If we ever do get to a point where we could define sentience in relation to an artificial intelligence, it’s hard to see how it would benefit the enterprise. In fact, it would most likely pose a number of problems. Sentient beings have wills of their own, after all, and if it also happens to control the mechanisms that produce goods, make sales and manage finances, this would bring a whole new meaning to the term “problem employee.”
Perhaps someday we will be able to implement AI in a fashion that resembles sentience, but for the time being it is probably best if artificial intelligence remains dumb and non-self-aware.
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| Does AI sentience matter to the enterprise? | Does AI sentience matter enterprise? VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline Transform 2022 Account Settings Log Out Become Member VentureBeat Home 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 Data Pipeline Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat 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 Does AI sentience matter enterprise? Arthur Cole July 4, 2022 6:20 AM Share Facebook Share Twitter Share LinkedIn Image Credit: NanoStockkGetty We excited bring Transform 2022 inperson July 19 virtually July 20 28. Join AI data leaders insightful talks exciting networking opportunities. today Can AI sentient? That question burning technology circles weeks now, lone Google engineer claimed LAMDA model achieved selfawareness soul. While important question, enterprise needs concern yet. Even algorithm arise, useful practical sense? Artificial awareness AI sentience topic debate decades, got kickstart month Google engineer, Blake Lemoine, posted conversations chatbot claimed proved sentient. Lemoine quickly leave, interesting note violating company confidentiality policies, claims sentience crossed kind line. Critics quick claim Lemoine fallen prey Eliza Effect, kind digital anthropomorphism identified 1960s researchers believed AI models sentient well. While like harmless distraction, has, fact, problem todays connected world. Event Transform 2022 Join leading event applied AI enterprise business technology decision makers inperson July 19 virtually July 2028. Here Eugenia Kuyda, CEO chatbot developer Replika, says phenomenon widespread days people starting build real relationships talking avatars. Even point reporting Replikas abused companys engineers. Most likely, user posing leading questions bot, points disturbing trend. Users able create companions choosing order receive rewarding companionship real person. Philosophers debating nature sentience ancient times, course, arguing sentience ascribed nonhuman animals. But author lecturer Melanie Mitchell says AI fails sentience test important ways. First, connection real world, language exposed to. Secondly, memory turn cease interacting it, doesnt remember past. This crucial establish sense self. Just like algorithm, AI crunches numbers determines probabilities determining natural, emotive way conduct dialogue. Enterprise sentience But artificial sentience real yet, tech vendors touting ability create sentient enterprise? For thing, ambiguity terminology long marketers dream. However, fact remains todays AI sentient, provides number useful capabilities enterprise data environments. For thing, EnterpriseAIs Alex Woodie says wonders centers, providing natural interactions unlimited number users simultaneously time. As well, showing remarkable aptitude process automation toresource management security. If anything, then, danger debate AI sentience distract enterprise urgent issues surrounding technologys development implementation. VBs senior AI reporter, Sharon Goldman, noted emerging pieces legislation regulatory frameworks taking shape U.S. Europe. This pending legislation limit where, AI utilized public private settings. As well, ongoing debate crucial aspects AI performance, including bias, ethics overall control. If point define sentience relation artificial intelligence, hard benefit enterprise. In fact, likely pose number problems. Sentient beings wills own, all, happens control mechanisms produce goods, sales manage finances, bring new meaning term problem employee. Perhaps someday able implement AI fashion resembles sentience, time probably best artificial intelligence remains dumb nonselfaware. Transform 2022 Hear senior executives worlds leading enterprises experience applied Data AI strategies theyve adopted success. Here Transform 2022 Join AI data leaders insightful talks exciting networking opportunities inperson July 19 virtually July 2028. Now Join forces VentureBeat upcoming AI data events Sponsor VB Events VentureBeat Home 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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https://venturebeat.com/ai/death-resurrection-and-digital-immortality-in-an-ai-world/ | 2022-08-20T00:00:00 | en | Death, resurrection and digital immortality in an AI world | VentureBeat |
Death, resurrection and digital immortality in an AI world | VentureBeat
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Death, resurrection and digital immortality in an AI world
Gary Grossman, Edelman@garyg02
August 20, 2022 6:40 AM
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Image Credit: ANDRZEJ WOJCICKI/SCIENCE PHOTO LIBRARY/Getty
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I have been thinking about death lately. Not a lot — a little. Possibly because I recently had a month-long bout of Covid-19. And, I read a recent story about the passing of the actor Ed Asner, famous for his role as Lou Grant in “The Mary Tyler Moore Show.” More specifically, the story of his memorial service where mourners were invited to “talk” with Asner through an interactive display that featured video and audio that he recorded before he died. The experience was created by StoryFile, a company with the mission to make AI more human. According to the company, their proprietary technology and AI can match pre-recorded answers with future questions, allowing for a real-time yet asynchronous conversation.
In other words, it feels like a Zoom conversation with a living person.
This is almost like cheating death.
Even though the deceased is materially gone, their legacy appears to live on, allowing loved ones, friends, and other interested parties to “interact” with them. The company has also developed these experiences for others, including the still very much alive William Shatner. Through this interactive experience, I asked Shatner if he had any regrets. He then “spoke” at length about personal responsibility, eventually coming back to the question (in Shatner-like style). The answer, by the way, is no.
William Shatner introduces StoryFile. Source: https://www.youtube.com/watch?v=HVPmGbynBrw There are other companies developing similar technology such as HereAfter AI. Using conversational AI, the company aspires to reinvent remembrance, offering its clients “digital immortality.” This technology evolved from an earlier chatbot developed by a son hoping to capture his dying father’s memories.
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It is easy to see the allure of this possibility. My father passed away ten years ago, shortly before this technology was available. While he did write a short book containing some of his memories, I wish I had hours of video and audio of him talking about his life that I could query and both see and hear the responses in his own voice. Then, in some sense, he would seem to still be alive.
This desire to bring our deceased loved ones “back to life” is understandable as a motivation and helps to explain these companies and their potential. Another company is ETER9, a social network set up by Portuguese developer Henrique Jorge. He shared the multi-generational appeal of these capabilities: “Some years from now, your great-grandchildren will be able to talk with you even if they didn’t have the chance to know you in person.”
How can you talk to dead people?
In “Be Right Back,” an episode from the Netflix show “Black Mirror,” a woman loses her boyfriend in a car accident and develops an attachment to an AI-powered synthetic recreation. This spoke to the human need for love and connection.
In much the same way, a young man named Joshua who lost his girlfriend Jessica to an autoimmune disease recreated her presence through a text-based bot developed by Project December using OpenAI’s GPT-3 large language transformer. He provided snippets of information about Jessica’s interests and their conversations, as well as some of her social media posts.
The experience for Joshua was vivid and moving, especially since the bot “said” exactly the sort of thing the real Jessica would have said (in his estimation). Moreover, interacting with the bot enabled him to achieve a kind of catharsis and closure after years of grief. This is more remarkable since he had tried therapy and dating without significant results; he still could not move on. In discussing these bot capabilities, Project December developer Jason Rohrer said: “It may not be the first intelligent machine. But it kind of feels like it’s the first machine with a soul.”
It likely will not be the last. For example, Microsoft announced in 2021 that it had secured a patent for software that could reincarnate people as a chatbot, opening the door to even wider use of AI to bring the dead back to life.
In an AI-driven world, when is someone truly dead?
“We’ve got to verify it legallyTo see if she is morally, ethicallySpiritually, physicallyPositively, absolutelyUndeniably and reliably dead!” –Munchkinland scene — “Wizard of Oz”
In the novel “Fall; or, Dodge in Hell,” author Neal Stephenson imagines a digital afterlife known as “Bitworld” contrasting the here and now of “Meatworld.” In the novel, the tech industry eventually develops the ability to map Dodge’s brain through precise scanning of the one hundred billion neurons and seven hundred trillion synaptic connections humans have, upload this connectome to the cloud and somehow turn it on in a digital realm. Once Dodge’s digital consciousness is up-and-running, thousands of other souls who have died in Meatworld join the evolving AI-created landscape that becomes Bitworld. Collectively, they develop a digital world in which these souls have what appears as consciousness and a form of tech-fueled immortality, a digital reincarnation.
Just as the technology did not exist ten years ago to create bots that virtually maintain the memories and — to a degree — the presence of the deceased, today the technology does not exist to create a human connectome or Bitworld. According to Louis Rosenberg of Unanimous A.I.: “This is a wildly challenging task but is theoretically feasible.”
And people are working on these technologies now through the ongoing advances in AI, neurobiology, supercomputing, and quantum computing.
AI could provide digital immortality
Neuralink, a company founded by Elon Musk focused on brain-machine interfaces, is working on aspects of mind-uploading. Some number of wealthy people, including tech entrepreneur Peter Thiel, have reportedly arranged to have their bodies preserved after death until such time as the requisite technology exists. Alcor is one such organization offering this preservation service. As futurist and former Alcor CEO Max Moore said: “Our view is that when we call someone dead it’s a bit of an arbitrary line. In fact, they are in need of a rescue.”
The mind-uploading concept is also explored in the Amazon series “Upload,” in which a man’s memories and personality are uploaded into a lookalike avatar. This avatar resides in what passes for an eternal digital afterlife in a place known as “Lakeview.” In response, an Engadget article asked: “Even if some technology could take all of the matter in your brain and upload it to the cloud, is the resulting consciousness still you?”
This is one of many questions, but ultimately may be the most relevant — and one that likely cannot be answered until the technology exists.
When might that be? In the same Engadget article, “Upload” showrunner Greg Daniels implies that the ability to upload consciousness is all about information in the brain, noting that it is a finite amount, albeit a large amount. “And if you had a large enough computer, and a quick enough way to scan it, you ought to be able to measure everything, all the information that’s in someone’s brain.”
The ethical questions this raises could rival the connectome in number and will become critical much sooner than we think.
Although in the end, I would just like to talk with my dad again.
Gary Grossman is the senior VP of technology practice at Edelman and global lead of the Edelman AI Center of Excellence.
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| Death, resurrection and digital immortality in an AI world | Death, resurrection digital immortality AI world VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline The MetaBeat Event Account Settings Log Out Become Member VentureBeat Home DataDecisionMakers 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 Briefings Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Data Pipeline Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat 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 Briefings Events Profile Community Death, resurrection digital immortality AI world Gary Grossman, Edelman August 20, 2022 6:40 AM Share Facebook Share Twitter Share LinkedIn Image Credit: ANDRZEJ WOJCICKISCIENCE PHOTO LIBRARYGetty Were unable attend Transform 2022? Check summit sessions ondemand library Watch here. I thinking death lately. Not lot little. Possibly I recently monthlong bout Covid19. And, I read recent story passing actor Ed Asner, famous role Lou Grant The Mary Tyler Moore Show. More specifically, story memorial service mourners invited talk Asner interactive display featured video audio recorded died. The experience created StoryFile, company mission AI human. According company, proprietary technology AI match prerecorded answers future questions, allowing realtime asynchronous conversation. In words, feels like Zoom conversation living person. This like cheating death. Even deceased materially gone, legacy appears live on, allowing loved ones, friends, interested parties interact them. The company developed experiences others, including alive William Shatner. Through interactive experience, I asked Shatner regrets. He spoke length personal responsibility, eventually coming question Shatnerlike style. The answer, way, no. William Shatner introduces StoryFile. Source: There companies developing similar technology HereAfter AI. Using conversational AI, company aspires reinvent remembrance, offering clients digital immortality. This technology evolved earlier chatbot developed son hoping capture dying fathers memories. Event MetaBeat 2022 MetaBeat bring thought leaders guidance metaverse technology transform way industries communicate business October 4 San Francisco, CA. Here It easy allure possibility. My father passed away years ago, shortly technology available. While write short book containing memories, I wish I hours video audio talking life I query hear responses voice. Then, sense, alive. This desire bring deceased loved ones life understandable motivation helps explain companies potential. Another company ETER9, social network set Portuguese developer Henrique Jorge. He shared multigenerational appeal capabilities: Some years now, greatgrandchildren able talk didnt chance know person. How talk dead people? In Be Right Back, episode Netflix Black Mirror, woman loses boyfriend car accident develops attachment AIpowered synthetic recreation. This spoke human need love connection. In way, young man named Joshua lost girlfriend Jessica autoimmune disease recreated presence textbased bot developed Project December OpenAIs GPT3 large language transformer. He provided snippets information Jessicas interests conversations, social media posts. The experience Joshua vivid moving, especially bot said exactly sort thing real Jessica said estimation. Moreover, interacting bot enabled achieve kind catharsis closure years grief. This remarkable tried therapy dating significant results; on. In discussing bot capabilities, Project December developer Jason Rohrer said: It intelligent machine. But kind feels like machine soul. It likely last. For example, Microsoft announced 2021 secureda patent software reincarnate people chatbot, opening door wider use AI bring dead life. In AIdriven world, truly dead? Weve got verify legallyTo morally, ethicallySpiritually, physicallyPositively, absolutelyUndeniably reliably deadMunchkinland scene Wizard Oz In novel Fall; or, Dodge Hell, author Neal Stephenson imagines digital afterlife known Bitworld contrasting Meatworld. In novel, tech industry eventually develops ability map Dodges brain precise scanning billion neurons seven trillion synaptic connections humans have, upload connectome cloud turn digital realm. Once Dodges digital consciousness upandrunning, thousands souls died Meatworld join evolving AIcreatedlandscape Bitworld. Collectively, develop digital world souls appears consciousness form techfueled immortality, digital reincarnation. Just technology exist years ago create bots virtually maintain memories degree presence deceased, today technology exist create human connectome Bitworld. According Louis Rosenberg Unanimous A.I.: This wildly challenging task theoretically feasible. And people working technologies ongoing advances AI, neurobiology, supercomputing, quantum computing. AI provide digital immortality Neuralink, company founded Elon Musk focused brainmachine interfaces, working aspects minduploading. Some number wealthy people, including tech entrepreneur Peter Thiel, reportedly arranged bodies preserved death time requisite technology exists. Alcor organization offering preservation service. As futurist Alcor CEO Max Moore said: Our view dead bit arbitrary line. In fact, need rescue. The minduploading concept explored Amazon series Upload, mans memories personality uploaded lookalike avatar. This avatar resides passes eternal digital afterlife place known Lakeview.In response, Engadget article asked: Even technology matter brain upload cloud, resulting consciousness stillyou? This questions, ultimately relevant likely answered technology exists. When be? In Engadget article, Upload showrunner Greg Daniels implies ability upload consciousness information brain, noting finite amount, albeit large amount. And large computer, quick way scan it, ought able measure everything, information thats someones brain. The ethical questions raises rival connectome number critical sooner think. Although end, I like talk dad again. Gary Grossman senior VP technology practice atEdelmanand global lead Edelman AI Center Excellence. DataDecisionMakers Welcome VentureBeat community DataDecisionMakers experts, including technical people data work, share datarelated insights innovation. If want read cuttingedge ideas uptodate information, best practices, future data data tech, join DataDecisionMakers. You considercontributing articleof Read More From DataDecisionMakers MetaBeat 2022 Join metaverse thought leaders San Francisco October 4 learn metaverse technology transform way industries communicate business. Here Transform 2022 OnDemand Did miss session Transform 2022? Head ondemand library featured sessions. Watch Now Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire DataDecisionMakers Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Briefings 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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https://venturebeat.com/ai/how-to-leverage-ai-for-more-effective-engaging-onboarding/ | 2023-01-01T00:00:00 | en | How to leverage AI for more effective, engaging onboarding | VentureBeat |
How to leverage AI for more effective, engaging onboarding | VentureBeat
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Guest
How to leverage AI for more effective, engaging onboarding
Geoff Webb, isolved
January 1, 2023 9:10 AM
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Image Credit: Shutterstock.com / WAYHOME studio
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At the center of the ceiling of the Sistine Chapel is that most famous image: The hand of God reaching out to Adam, and vice versa. The most primal and profound moment of connection, immortalized and rendered in paint and plaster, it reflects so well the fact that the moment of connection is so important to us, as humans, as individuals.
The same is true in our day-to-day interactions when we’re out and about. We connect. Yet many businesses fail to understand that the most important moments of connection between an employer and a new employee occur in those oh-so-fleeting first interactions before they have become fully assimilated into the business. The first few hours and days during onboarding — when an applicant transitions to a new employee — define how a new team member perceives the rest of the company and as studies show, set in their mind how long they are likely to stay.
In a recent survey of more than 1,000 full-time employees, 86% firmly agreed that onboarding is important for their future success. 49% even went so far as to say that they’ve been tempted to leave a new job after a poor onboarding experience, such as unprepared managers or excessive paperwork.
Supporting employees when they need it most
When a new employee feels unwelcome, unimportant, or simply neglected, it can form such a poor impression of their employer that they never recover.
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So how can businesses do a better job of those essential first few days? How can a business reduce the stress on a new hire, make the onboarding smoother and more efficient, and, in effect, offer a more human connection?
As in so many other places in the business world, artificial intelligence (AI) technology is offering some solutions that successful businesses are already quickly adopting.
One of the biggest challenges to delivering a smooth and welcoming onboarding experience is simply that the people tasked with it are often already overburdened with other activities. Bringing on a new hire becomes a last-minute fire drill versus a hand from the corporate sky reaching out to form new connections. Individuals are too swamped with managing existing teams or dealing with myriad other processes to devote the time and energy to looking after the fledgling employee when, sadly, they likely need it the most.
The power of chatbots
Enter the latest round of conversational virtual assistants. Or, more colloquially, chatbots.
Inserting AI-driven chatbots into a process that is already lacking human warmth may seem like a poor idea. Yet, the approach can and does help to rapidly and effectively reduce stress, improve efficiency, and deliver a more human experience.
AI chatbots have some unique characteristics that make them ideal for the often slightly chaotic onboarding process when employees aren’t sure what information they need, often make mistakes, and rarely know where to go to get help.
Specifically, chatbots are incredibly patient, can be available 24/7, and never forget where things are stored or how to get access to the right information.
Imagine, then, a new employee who is struggling to work through a benefits enrollment process. For reference, a recent study showed that a poor benefits enrollment process could cause 60% of candidates to look for a new job. Rather than continue to pepper a beleaguered HR team with questions or requests to repeat information, chatbots can be trained to understand simple questions (through the process of natural language processing, or NLP) and either answer them directly or guide an employee to information that helps them.
Most importantly for the employee, there is no sense in “asking a stupid question” which can cause stress in an already stressful situation — especially at a time when they are motivated and trying to prove that they belong at an organization. It should be the organization fostering the sense of belonging.
Judgment-free zone
Chatbots, it must be said, don’t judge. So if a newly hired employee needs to check the same information again, for the tenth time, at 3 a.m. on a Sunday, that’s OK. The chatbot is more than happy to help. And by enabling the employee to “self-serve,” to take control of more of the process by giving them a tool to help navigate the intricacies of enrollment and onboarding, they feel more confident that they made the right employment decision — with a far better overall experience to show for it.
Interestingly enough, the very process of dealing with repeated inquiries is itself valuable. By reviewing the interactions between new-hire and chatbot, HR teams can identify areas where confusion regularly occurs and address them pre-emptively. Simply put, the introduction of the AI tool not only reduces that employee’s stress, but enables the HR onboarding team to improve the information they provide. This in turn reduce stressors for future employees.
It should be no surprise then, that AI tools can improve the efficiency of onboarding.
AI as the “go-to”
Joining a company presents a slew of process and informational hurdles for a new employee. When are the meetings I must attend? Who is my point of contact for this process? Who else do I need to introduce myself to? What if I have problems with my equipment? And so on.
These problems tend to arrive at the manager’s door in a relentless, if well-meaning, tide of emails, IMs and sometimes panicked phone calls. However, once more, AI tools can not only act as a “go-to” for ad-hoc inquiries but actively shape and drive the onboarding experience itself. So, not only can they respond to a new hire, they can take over and drive the process when needed.
Imagine a new employee who’s just completed orientation training. An AI-based tool, already knowing the typical path for that role, can reach out and recommend (and even action) introductory meetings, confirm that the employee is onboarding well and recommend follow-up training.
Rather than a one-size-fits-all approach, AI-based tools can personalize onboarding to meet the needs and progress of that individual, while gathering information on the overall process so that, in the future, it can also be improved. At every step, AI assistants can respond as needed, and guide where necessary.
Creatures of connection
So then, can AI tools actually make the overall process more human? This is the most powerful and transformational benefit of employing AI-based assistants in those critical early days. Not to masquerade as AI-in-human-clothing but rather to act as a tireless and informed assistant. Simply by virtue of its existence, AI unshackles both HR teams and managers from time-consuming operational tasks.
By enabling a self-service experience, albeit one that is guided and structured, AI frees up people professionals to do what they do best: Connect. This allows them to have the time to check in, have personal conversations and be a partner and a welcoming friend. This is without seeing their meeting times consumed by questions about company holidays or details on healthcare benefits.
We are, at our core, creatures of connection. If new employees feel that there is a person with the energy and time to make connections, reach out across the void and bridge the gap with the vital spark of empathy, the experience of onboarding is transformed.
Rather than a time of stress and confusion, a new employee can gather the information they need, get access to the tools and training they will want, and begin to feel part of the very human enterprise that is, at its heart, every business.
Enabled by the latest technology, they find, like the figure of Adam on the ceiling of the Sistine Chapel, a hand reaching out to them when they need it most.
Geoff Webb is VP of solution strategy at isolved
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| How to leverage AI for more effective, engaging onboarding | How leverage AI effective, engaging onboarding VentureBeat Skip main content Events Market Us VentureBeat Home Artificial Intelligence View All AI, ML Deep Learning Auto ML Data Labelling Synthetic Data Conversational AI NLP TexttoSpeech Security View All Data Security Privacy Network Security Privacy Software Security Computer Hardware Security Cloud Data Storage Security Data Infrastructure View All Data Science Data Management Data Storage Cloud Big Data Analytics Data Networks Automation View All Industrial Automation Business Process Automation Development Automation Robotic Process Automation Test Automation Enterprise Analytics View All Business Intelligence Disaster Recovery Business Continuity Statistical Analysis Predictive Analysis More Data Decision Makers Virtual Communication Team Collaboration UCaaS Virtual Reality Collaboration Virtual Employee Experience Programming Development Product Development Application Development Test Management Development Languages Events Market Us Guest How leverage AI effective, engaging onboarding Geoff Webb, isolved January 1, 2023 9:10 AM Share Facebook Share Twitter Share LinkedIn Image Credit: WAYHOME studio Check ondemand sessions Intelligent Security Summit here. At center ceiling Sistine Chapel famous image: The hand God reaching Adam, vice versa. The primal profound moment connection, immortalized rendered paint plaster, reflects fact moment connection important us, humans, individuals. The true daytoday interactions about. We connect. Yet businesses fail understand important moments connection employer new employee occur ohsofleeting interactions fully assimilated business. The hours days onboarding applicant transitions new employee define new team member perceives rest company studies show, set mind long likely stay. In recent survey 1,000 fulltime employees, 86 firmly agreed onboarding important future success. 49 went far theyve tempted leave new job poor onboarding experience, unprepared managers excessive paperwork. Supporting employees need When new employee feels unwelcome, unimportant, simply neglected, form poor impression employer recover. Event Intelligent Security Summit OnDemand Learn critical role AI ML cybersecurity industry specific case studies. Watch ondemand sessions today. Watch Here So businesses better job essential days? How business reduce stress new hire, onboarding smoother efficient, and, effect, offer human connection? As places business world, artificial intelligence AI technology offering solutions successful businesses quickly adopting. One biggest challenges delivering smooth welcoming onboarding experience simply people tasked overburdened activities.Bringing new hire lastminute drill versus hand corporate sky reaching form new connections. Individuals swamped managing existing teams dealing myriad processes devote time energy looking fledgling employee when, sadly, likely need most. The power chatbots Enter latest round conversational virtual assistants. Or, colloquially, chatbots. Inserting AIdriven chatbots process lacking human warmth like poor idea. Yet, approach help rapidly effectively reduce stress, improve efficiency, deliver human experience. AI chatbots unique characteristics ideal slightly chaotic onboarding process employees arent sure information need, mistakes, rarely know help. Specifically, chatbots incredibly patient, available 247, forget things stored access right information. Imagine, then, new employee struggling work benefits enrollment process. For reference, recent study showed poor benefits enrollment process cause 60 candidates look new job. Rather continue pepper beleaguered HR team questions requests repeat information, chatbots trained understand simple questions process natural language processing, NLP answer directly guide employee information helps them. Most importantly employee, sense asking stupid question cause stress stressful situation especially time motivated trying prove belong organization. It organization fostering sense belonging. Judgmentfree zone Chatbots, said, dont judge. So newly hired employee needs check information again, tenth time, 3 a.m. Sunday, thats OK. The chatbot happy help. And enabling employee selfserve, control process giving tool help navigate intricacies enrollment onboarding, feel confident right employment decision far better overall experience it. Interestingly enough, process dealing repeated inquiries valuable. By reviewing interactions newhire chatbot, HR teams identify areas confusion regularly occurs address preemptively. Simply put, introduction AI tool reduces employees stress, enables HR onboarding team improve information provide. This turn reduce stressors future employees. It surprise then, AI tools improve efficiency onboarding. AI goto Joining company presents slew process informational hurdles new employee. When meetings I attend? Who point contact process? Who I need introduce to? What I problems equipment? And on. These problems tend arrive managers door relentless, wellmeaning, tide emails, IMs panicked phone calls. However, more, AI tools act goto adhoc inquiries actively shape drive onboarding experience itself. So, respond new hire, drive process needed. Imagine new employee whos completed orientation training. An AIbased tool, knowing typical path role, reach recommend action introductory meetings, confirm employee onboarding recommend followup training. Rather onesizefitsall approach, AIbased tools personalize onboarding meet needs progress individual, gathering information overall process that, future, improved. At step, AI assistants respond needed, guide necessary. Creatures connection So then, AI tools actually overall process human? This powerful transformational benefit employing AIbased assistants critical early days. Not masquerade AIinhumanclothing act tireless informed assistant. Simply virtue existence, AI unshackles HR teams managers timeconsuming operational tasks. By enabling selfservice experience, albeit guided structured, AI frees people professionals best: Connect. This allows time check in, personal conversations partner welcoming friend. This seeing meeting times consumed questions company holidays details healthcare benefits. We are, core, creatures connection. If new employees feel person energy time connections, reach void bridge gap vital spark empathy, experience onboarding transformed. Rather time stress confusion, new employee gather information need, access tools training want, begin feel human enterprise is, heart, business. Enabled latest technology, find, like figure Adam ceiling Sistine Chapel, hand reaching need most. Geoff Webb VP solution strategy isolved DataDecisionMakers Welcome VentureBeat community DataDecisionMakers experts, including technical people data work, share datarelated insights innovation. If want read cuttingedge ideas uptodate information, best practices, future data data tech, join DataDecisionMakers. You considercontributing articleof Read More From DataDecisionMakers Intelligent Security Summit OnDemand Did miss session Intelligent Security Summit? Head ondemand library hear insights experts learn importance cybersecurity organization. Watch Here DataDecisionMakers Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . | 2,023 | [
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https://video.startribune.com/chatgpt-chief-says-ai-should-be-regulated/600275468/ | 2023-05-17T00:00:00 | en | ChatGPT chief says AI should be regulated |
ChatGPT chief says AI should be regulated
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600275468
ChatGPT chief says AI should be regulated
CEO Sam Altman advocated for a U.S. or global agency that would license the most powerful AI systems and have the authority to "take that license away and ensure compliance with safety standards."
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By Associated Press
May 16, 2023 — 10:42pm
CEO Sam Altman advocated for a U.S. or global agency that would license the most powerful AI systems and have the authority to "take that license away and ensure compliance with safety standards."
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| ChatGPT chief says AI should be regulated | ChatGPT chief says AI regulated Home All Sections StarTribune Log In Welcome, User Manage Account Saved articles eEdition Support Log Out Recently Visited r Features Saved Articles Home Local Sports Business Opinion Variety Politics Nation World Science Weather Traffic Video Photography Obituaries Archives: 150 years Minnesotas Best Classifieds Autos Housing Jobs Coronavirus Minneapolis St. Paul Duluth St. Cloud Rochester East Metro North Metro South Metro West Metro Local Columnists James Lileks Jennifer Brooks State Fair Curious Minnesota Twins Minnesota Vikings Wild Wolves Loons Lynx Gophers Colleges Golf Motorsports Outdoors High Schools Sports Hall Fame Sports Columnists Dennis Anderson Sid Hartman Patrick Reusse Chip Scoggins Jim Souhan Sports Blogs Access Vikings Gophers Basketball Gophers Football Gophers Hockey The Lynx Beat Preps Insider The Olympics Randball StribSports Upload The Twins Beat The United Beat The Wild Beat The Wolves Beat Top Workplaces Agriculture Business Columnists Lee Schafer Neal St. Anthony Opinion Exchange Editorial Cartoons Letters OpinionElection New Voices Podcasts Playing Politics Books Celebs Comics Games Horoscopes Eat Drink Movies Music Stage Arts TV Media Best MN Health Home Garden Inspired Style Taste The Good Life Things To Do Travel Variety Columnists Gail Rosenblum C. J View Obituaries Place Obituary Notice Winners Nominations Voting About Place Ad Garage Sales Estate Sales Merchandise Pets Public Notices Recreational Vehicles Marina Used Vehicles Sell Vehicle Advertise Rentals Foreclosures Find Job Your Resume Your Account Employer AZ Top Workplaces Post Job Home Local Sports Business Opinion Variety Obituaries Classifieds Autos Things To Do Jobs More Home prev Park Board consider killing plan Midtown Greenway regional trail Minnesota lawmakers finish marijuana bill, votes Sick time provision allow Minnesota workers earn time off, paid employers Mora, Minn., family seeks countys help gravel road dispute Judge orders Precision Lens, owner pay 487M kickback scheme Minneapolis neighborhood groups criticize engagement future police Third Precinct HQ Live: Twins vs Dodgers. Its latenight baseball Gameview Alix Kendall reducing hours Fox 9 morning Soul Asylum, Kevin Bacon Nikki Lane 900 free performances 2023 Minnesota State Fair Praise rookie? Miller earned Lynx coach Reeve 5 recipes Star Tribune archives celebrate rhubarb Business 600275468 ChatGPT chief says AI regulated CEO Sam Altman advocated U.S. global agency license powerful AI systems authority license away ensure compliance safety standards. Share Share Article Email Facebook Twitter LinkedIn Copy link By Associated Press May 16, 2023 10:42pm CEO Sam Altman advocated U.S. global agency license powerful AI systems authority license away ensure compliance safety standards. More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm Business Judge orders Precision Lens, owner pay 487M kickback scheme May 16 Business Dont need old iPhone? Offload tech tips May 14 More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm Business Judge orders Precision Lens, owner pay 487M kickback scheme May 16 Business Dont need old iPhone? Offload tech tips May 14 More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 Politics Minnesota lawmakers finish marijuana bill, votes 12:24pm More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 More Star Tribune Minneapolis Park Board consider killing plan Midtown Greenway regional trail 9:50pm St. Cloud Mora, Minn., family seeks countys help gravel road dispute 4:28pm Minneapolis What prompted chaos Minneapolis 10th Ward DFL convention? May 15 More From Star Tribune Park Board consider killing plan Midtown Greenway regional trail Mora, Minn., family seeks countys help gravel road dispute What prompted chaos Minneapolis 10th Ward DFL convention? Minnesota lawmakers finish marijuana bill, votes Judge orders Precision Lens, owner pay 487M kickback scheme Dont need old iPhone? Offload tech tips More From Star Tribune Park Board consider killing plan Midtown Greenway regional trail Mora, Minn., family seeks countys help gravel road dispute What prompted chaos Minneapolis 10th Ward DFL convention? Minnesota lawmakers finish marijuana bill, votes Judge orders Precision Lens, owner pay 487M kickback scheme Dont need old iPhone? Offload tech tips More From Business Business 14 minutes ago ChatGPT chief says artificial intelligence regulated US global agency The head artificial intelligence company makes ChatGPT told Congress Tuesday government intervention critical mitigating risks increasingly powerful AI systems. Video 15 minutes ago ChatGPT CEO says AI regulated Sam Altman advocated U.S. global agency license powerful AI systems authority license away ensure compliance safety standards. Business 20 minutes ago North Korea shows Kim Jong Un examining military spy satellite launched soon North Korean leader Kim Jong Un examined finished military spy satellite, country expected launch soon, visit countrys aerospace agency described spacebased reconnaissance crucial countering U.S. South Korea. Business 22 minutes ago ChatGPT chief says AI regulated CEO Sam Altman advocated U.S. global agency license powerful AI systems authority license away ensure compliance safety standards. Business 25 minutes ago Taco Tuesday trademark tiff flares anew fast food competitors Declaring mission liberate Taco Tuesday all, Taco Bell asking U.S. regulators force Wyomingbased Taco Johns abandon longstanding claim trademark. Top Stories Park Board consider killing plan Midtown Greenway regional trail 9:50pm Minnesota lawmakers finish marijuana bill, votes 12:24pm Sick time provision allow Minnesota workers earn time off, paid employers 7:03pm Most Read Judge orders Precision Lens, owner pay 487M kickback scheme Business Lawsuits targeting company websites ADA violations rise Business Dont need old iPhone? Offload tech tips Business 3M fires longtime exec inappropriate personal conduct Business Ramstad: Downtown Minneapolis different past matters Minnesota Business StarTribune On: Facebook Twitter Pinterest Instagram today Company About Star Tribune Work For Us News Education Minnesotas Best High school sports hubs Mobile tablet apps Policies Standards Advertise Talk business consultant Media kit Classifieds Buy Star Tribune Store Photo Reprints Full Page Archive: 150 years Back Copies Commercial reprints Licensing Customer support Help Feedback Manage account Newspaper subscription Digital access eEdition Vacation holdbilling Text Speech Website Terms use Privacy policy Site index RSS 2023 StarTribune. . | 2,023 | [
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https://voonze.com/brave-opera-are-adding-ai-to-their-browsers/ | 2023-03-04T00:00:00 | en | Brave, Opera are adding AI to their browsers - How smart Technology changing lives |
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Home Tech News Brave, Opera are adding AI to their browsers
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Brave, Opera are adding AI to their browsers
By Abraham - March 4, 2023 0 0
brave summarizer again.png
While Microsoft continues to polish Bing Chat and Google preps its own AI chatbot, Bard, smaller alternative browsers Brave and Opera are making plans for AI, too. The two browser companies said that they will use AI to summarize articles, with Brave debuting the Summarizer today.
Microsoft’s latest beta version of Edge uses Bing’s AI-powered chatbot to summarize articles that it finds on the Web, providing a concise explanation of their contents in the sidebar if asked. The Brave Summarizer is slightly different; instead, it uses its own AI-powered tools to examine a page of results and then summarize the findings. Brave provides its own search tools, and it is using the AI summation to replace the page-generated description with its own.
According to Brave, the company uses its Summarizer tool as a way to counteract what it sees as a problem of the Large Language Models (LLMs) that underlie so-called AI tools. These LLMs can “hallucinate” data, making up facts where none exist. Brave says that the Summarizer, by contrast, simply sums up what’s there on the page, leaving the link intact for attribution.
A “before and after” look at how Brave’s Summarizer works.
Brave
“Unlike AI chat tools which can provide fabricated responses, the Summarizer generates a plain-written summary at the top of the search results page, aggregating the latest sources on the Web and providing source attribution for transparency and accountability,” said Josep Pujol, chief of search at Brave, in a statement.
WhatsApp wants to make it easier to watch the shared videos on Android
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Brave did not use OpenAI’s ChatGPT as the basis of its Summarizer engine. Instead, the company said that it had trained three of its own LLMs to read the page, rule out spam or hate speech, and then summarize the results.
Opera, however, said this week that it will collaborate with OpenAI to implement OpenAI’s “state-of-the-art AI models” within its browser. That will include a new “Shorten” button in the address bar that will be able to use AI to generate short summaries of any webpage or article, Opera said. However, the company did not offer any timetable for integrating the AI technology. Additional AI-powered services will be added to Opera’s sidebar, the company said.
CreditBrave, Opera are adding AI to their browsers
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| Brave, Opera are adding AI to their browsers | Brave, Opera adding AI browsers How smart Technology changing lives Tech News How works Social Networks Smart Gadgets Cybersecurity Car Tech Communication Editors Pick Gaming 5G News Apps Terms And Conditions Disclaimer Us Home Tech News Brave, Opera adding AI browsers Tech News Brave, Opera adding AI browsers By Abraham March 4, 2023 0 0 brave summarizer again.png While Microsoft continues polish Bing Chat Google preps AI chatbot, Bard, smaller alternative browsers Brave Opera making plans AI, too. The browser companies said use AI summarize articles, Brave debuting Summarizer today. Microsofts latest beta version Edge uses Bings AIpowered chatbot summarize articles finds Web, providing concise explanation contents sidebar asked. The Brave Summarizer slightly different; instead, uses AIpowered tools examine results summarize findings. Brave provides search tools, AI summation replace generated description own. According Brave, company uses Summarizer tool way counteract sees problem Large Language Models LLMs underlie socalled AI tools. These LLMs hallucinate data, making facts exist. Brave says Summarizer, contrast, simply sums whats , leaving link intact attribution. A look Braves Summarizer works. Brave Unlike AI chat tools provide fabricated responses, Summarizer generates plainwritten summary search results , aggregating latest sources Web providing source attribution transparency accountability, said Josep Pujol, chief search Brave, statement. WhatsApp wants easier watch shared videos Android TAGS androidsharedvideoswantswatchWhatsApp Brave use OpenAIs ChatGPT basis Summarizer engine. Instead, company said trained LLMs read , rule spam hate speech, summarize results. Opera, however, said week collaborate OpenAI implement OpenAIs stateoftheart AI models browser. That include new Shorten button address bar able use AI generate short summaries web article, Opera said. However, company offer timetable integrating AI technology. Additional AIpowered services added Operas sidebar, company said. CreditBrave, Opera adding AI browsers FacebookTwitterPinterestWhatsApp Previous articleGoogle Chrome RAM consumption open tab Abraham RELATED ARTICLES The parallels Vonneguts science fiction modernday world :... Tech News The Tab S8 Is One Our Favorite Tablets 2023... Tech News Google Play notify app want to... Android NO COMMENTS LEAVE A REPLY Cancel replyLog leave comment ABOUT USWe provide information gathered different resources multiple authors including guest articles, We images contents shared declared copyrighted image content. If copyrighted material site contact info project Aerezona developers. us: info US Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox 2023 AEREZONA DEVELOPERS | 2,023 | [
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Table of contents
When Technology Was A Force For Equality
Computers Reboot The Labor Market
The Rise Of AI
The Happy Scenario
The Bad Scenarios
Why The Happier Scenario Is More Likely Than The Bad Scenarios
We are witnessing a technological revolution unfolding in real time. The rise of smart machines opens up some scary possibilities; for our economy, for our democracy, even, in the most catastrophic scenarios, for our continued existence as a species. But, if we get our act together, the age of Artificial Intelligence could be one in which we rebuild the middle class, says MIT’s David Autor, one of the top labor economists in the world.
Autor sees a potential future where we harness the power of AI to create a whole bunch of good jobs for people who have been left behind over the last few decades. Even in this cheery scenario, AI will profoundly disrupt the job market. But, Autor says, with concerted efforts and smart policies, we can bring the dream of a more prosperous and more equal economy into reality.
For the last four decades, technology has been mostly a force for greater inequality. Since the 1990s, Autor and his colleagues have uncovered a mountain of evidence about this. Autor calls it “job polarization.” Basically, computers have been great for the jobs of high-income, college-educated workers, but not so great for the jobs of everyone else. Autor’s research suggests that computers killed a range of jobs in manufacturing and offices that once provided solid opportunities to Americans without a college degree.- Advertisement -
But new empirical evidence suggests that the age of AI could be different. It poses the possibility that, instead of highly skilled and college-educated workers reaping most of the benefits from the assistance of smart machines, it could be the less skilled and non-college-educated who get the biggest boost. Autor is hopeful that, with the right policies to prepare and assist Americans to succeed in this new AI economy, we could make a wider array of workers much better at a whole range of jobs, lowering barriers to entry and creating new opportunities.
“Let’s use AI to reinstate the middle class,” Autor declares. It could be a rallying cry for this new technological era.
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When Technology Was A Force For Equality
Technological change was not always a force for greater inequality. In fact, Autor says, technology once provided a significant boost for creating and expanding the middle class.
But, it’s worth noting, that story began with disruption and misery. And it’s possible that, even in the happy economic future that Autor envisions, things will proceed in a similar way.- Advertisement -
Prior to the Industrial Revolution, skilled artisans were the masters of production. These workers made a relatively good living making products, like textiles and tools, largely with their own hands.
Then came the age of machines and factories, and many artisans saw their livelihoods obliterated. Quite infamously, in 1811, the so-called “Luddites,” a group of disgruntled artisans in Britain, began sabotaging the textile machines they were being forced to compete with.
These machines made the textile industry much more productive; made textile manufacturing much easier to do; and made clothing cheaper for the masses, thereby increasing living standards for society. The Luddites, with their old-school way of making things, couldn’t compete, and their prosperity fell.- Advertisement -
“The Luddites rose up for a reason,” Autor says. “Their work was being devalued.”
The machine-enabled factory jobs that replaced artisanal work paid less. But, over time, manufacturing jobs got better, especially as newly electrified factories began producing more complicated gadgets and machines, like automobiles. The technology used in this production was expensive and using it required a specific skill set. Titans of industry learned that it was best to pay a good wage to ensure they recruited and retained a skilled workforce. The skills these workers needed did not require a college education, but they were valuable nonetheless.
In the industrial era, many Americans, even if they didn’t necessarily excel at school, could find good jobs doing what Autor calls “middle-skill work.” These were jobs that required workers to know how to read, do basic math, and possess other skills, but they didn’t need the type of elite skills typically acquired through years of education. Workers doing middle-skill jobs usually followed formal instructions, like “insert this widget here and turn twice” or “take all our receipts, create a document tracking them with this typewriter, and then add them all up.”
Middle-skill jobs were commonly found in places like factory floors, or in offices, doing bookkeeping, compiling paper records, calling suppliers and clients on the telephone. And it turned out that they paid relatively well. It’s why, Autor says, “The industrial era helped really grow the middle class.”
During this era, Autor says, technology was a force for equality. It created a demand for a kind of valuable work that a wide spectrum of society could do. “It gave us this tailwind, a way of organizing work that could make very productive use of people who had only a high school education,” Autor says. “Most people didn’t need a college degree to be successful in the type of work and provide the type of expertise that was demanded in that time.”
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But it wasn’t just technology, of course, that enabled this economy with more widely shared prosperity to come into being. There were political and institutional factors that helped as well, especially, Autor says, public investments in universal K-12 education, which helped prepare kids to enter growing sectors of the economy.
Computers Reboot The Labor Market
The age of the personal computer proved to be unlike the industrial era that preceded it. Technologies like electricity, plumbing, conveyor belts, manufactured gadgets, gizmos, and machines of all sorts had been a boon for creating good jobs for a wide range of Americans — even those who weren’t bookish, studious, or exceptionally gifted. Computers, however, proved to be largely a bust for them. Autor’s research finds that it was mainly elite, college-educated workers who reaped most of the benefits.
“The computer era actually devalued mass expertise and created massively amplified demand for elite expertise,” Autor says.
The work of lawyers, doctors, Wall Street traders, corporate executives, professionals of all stripes — so-called “knowledge workers” — became much more productive and valuable with computers. They benefited tremendously from being able to send emails, create digital spreadsheets, search the Internet, create new apps, trade stocks and information instantaneously all over the world. Computers profoundly enhanced this elite group’s ability to do their jobs, and because their jobs required years of education and hard-to-get knowledge and skills, the influx of other people to do them was relatively slow. That meant these professionals just kept getting paid better and better.
Meanwhile, jobs on the lower end of the pay spectrum, for janitors, fast food cooks, cashiers, dishwashers, security guards, and so on, continued to grow a bunch — but they did not see the same work benefits from new technology. Even worse, many of those “middle-skill” jobs — the ones created in industrial era that helped build the middle class — were killed off by new technology. Many jobs in manufacturing were taken over by robots. Other coveted jobs in offices — jobs that once enabled non-college-educated workers to get their foot in the door at profitable companies — were automated away by computer software. Many of these workers were forced out of well-paying occupations and into lower-paying ones in the service industry.
Almost a decade ago, Autor wrote an influential paper that argued that a central reason for this “polarization” was what computers could and could not do. Computers — at the time — could only be programmed to do tasks with explicit, step-by-step instructions or formal rules. That, unfortunately, still put many middle-skill jobs on the chopping block — because many of these jobs did exactly what computers and robots could do. They followed formal rules. Whether it was on an assembly line or doing a lot of clerical work in offices, many of these tasks could be broken down into step-by-step procedures that machines could be programmed to do. And, so, many of them got automated away, and the workers who held those jobs were forced into lower-paying occupations.
But while Autor saw computers as a major contributor to rising inequality, he was bullish on the future of job growth. He didn’t think most jobs were going to get automated away. That’s because he saw the limitations of computers as a kind of big security fence protecting a whole range of jobs at both the upper and lower ends of the labor market.
Computers could not do things like reasoning, decision-making, abstract thinking, problem-solving, or creativity — which meant that most high-paying, college-educated jobs were safe for the time being. Even better, the stuff that computers could do enhanced — or, in econ jargon, “complemented” — the work of highly skilled workers, allowing them to specialize and get better at their bread-and-butter skills.
At the same time, computer technology couldn’t do a lot of the jobs on the low end. They didn’t have people skills. They couldn’t deliver a latte or a meal with a smile. Despite continual advances, robots couldn’t do most manual tasks like cleaning or building various kinds of stuff. Even when robots could be used to build stuff, they were expensive and needed to be programmed with step-by-step instructions in very controlled environments, like a precisely engineered assembly line.
Autor called this gigantic fence protecting jobs “Polanyi’s Paradox,” a reference to a brilliant Hungarian-British scholar and philosopher Michael Polanyi. Polanyi wrote a book called The Tacit Dimension, which observed that, in Autor’s words, “We know more than we can tell.” That is, we understand how to do a lot of stuff — like ride a bicycle, use a hammer, clean a toilet, make a sarcastic joke, recognize the face of people we haven’t seen in decades — but, if asked, it’d be super hard to write down step-by-step instructions and procedures how to do these things.
“The reason I invoked Polanyi in that paper was to make the observation that — at that time — to automate something using computers, you needed to understand it explicitly, not just tacitly, because you needed to write a program that a non-sentient, non-creative, non-problem solving machine could execute all the steps, without much human input,” Autor says. “Computers couldn’t improvise, couldn’t figure something out on its own.”
The Rise Of AI
When Autor wrote his influential paper a decade ago, machine learning, the foundation for modern AI systems, was only in its infancy. And, back then, there was a raging debate about how much these new AI systems would eventually be able to do, especially since they don’t seem to work the way our brains work. These systems essentially crunch a bunch of data and then learn patterns and associations that they can replicate and remix. They don’t reason, at least in the way we’ve traditionally thought reasoning works.
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But, even a decade ago, Autor and his colleagues foresaw that machine learning was capable of doing things that traditional computer programs could not do. “It overcomes Polanyi’s Paradox,” Autor says. In other words, humans don’t have to write down procedures for AI to do stuff. You don’t have to program them with step-by-step instructions. You just feed them a bunch of data, and they’re off to the races.
Over the last few years — and especially in the last few months — it’s turned out that these pattern-recognizing machines are capable of incredible feats. They’re now, for example, doing things like translating images of brain activity into words, in effect, reading our minds. Even some of the best computer and brain scientists are struggling to figure out how they’re doing stuff like this.
Now, instead of struggling to program machines to do stuff, we’re struggling to figure out how machines are doing the stuff they’re doing. “So this is what I now call ‘Polanyi’s Revenge,'” Autor says. “Now computers tacitly understand all kinds of stuff that they can’t explain to us.”
So, yes, Autor believes we’re in a new technological era. The era of smart machines. Computers can now jump that security fence protecting a whole range of jobs, that bright line separating what computers could do and what humans could do. And we’re now watching the unfolding of a new era where there’s a lot of uncertainty over what’s going to happen.
The Happy Scenario
Let’s start with the happy potential future: AI doesn’t completely erase our comparative advantages as human beings; rather, it mostly just enhances our ability to do things.
If that’s the case, Autor sees a real possibility that this new technological era could unfold similarly to the industrial era. It may begin with disruption and misery for some elite workers, as it did for artisans. But that process could also make our economy more productive, products and services cheaper, our living standards higher, and — if we pursue the right policies — it could make a whole bunch of people without a college education much more capable of doing a whole range of valuable jobs.
Autor’s optimistic vision has some early evidence supporting it. Over the last few months, there have been two empirical studies of the economic effects of AI that suggest it makes lower-skilled workers much better at their jobs and has an equalizing effect in the labor market. One study, which we wrote about in the Planet Money newsletter last week, showed that less experienced, lower-skilled customer service representatives saw big gains in their job performance after their company introduced an AI chatbot to help them with their work. More experienced, higher-skilled reps saw little or no benefit.
Another study, which Autor brought to our attention, showed something similar. Two of Autor’s students at MIT conducted an experiment in which ChatGPT helped people do various writing tasks. They found that less-skilled writers ended up getting much better at writing, while high-skilled workers saw some but lesser benefit. As a result, inequality between the workers decreased.
If the findings in these studies can be replicated and built upon across the economy, that creates a whole bunch of opportunities.
Autor imagines an economy, where, assisted by AI, a wider range of workers could do the kind of work that’s currently being done by the upper echelon of the labor force. “The good scenario is one where AI makes elite expertise cheaper and more accessible,” Autor says. “All of a sudden, these workers can summarize the literature, write a decent document, organize a schedule, do medical analysis, design a product, figure out a route, maybe even fly a plane.”
In other words, jobs that are currently reserved for more elite workers could be done with lower-skilled workers now that smart machines can help them. That not only could make products and services cheaper, it could open up ladders of opportunity for more people.
But, Autor says, we’ll need to retool our education system to help make this a reality, enabling people to gain “foundational skills” for various industries and teaching them how to effectively use this new technology. He sees a parallel in the industrial era, when universal K-12 education helped prepare a wide array of Americans for industrial jobs. Autor says we’ll also need other policies, from the government, businesses, universities, nonprofits, to help bring this world into being.
“Basically, the middle-skilled workers of the future could be people who have foundational skills in healthcare, in the trades, in travel and services,” Autor says. Then, with the help of AI, they could get really good at these jobs.
Of course, even in this rosy scenario, the expertise of some high-paid professionals would be devalued because they’ll face new competition from AI-enhanced newcomers. But Autor imagines this happening gradually. “I don’t think they’re all gonna be just like thrown out the top floor of office buildings,” Autor says.
This scenario, Autor says, could also have another potential benefit: “In the long run, it means fewer people have to go to college, which is expensive.”
The Bad Scenarios
The worst scenario of all is if AI becomes sentient and kills us all. Or, more likely, as Autor says, “we use AI to kill each other.”
Some leading technologists are actually worried that AI poses an existential threat to us, so let’s not just laugh that possibility off. Autor himself is worried that AI could possibly empower nefarious actors, be used to spread misinformation, hijack our critical systems, and/or create a whole host of security threats.
But — ahem — putting existential threats aside, there are also some bad economic scenarios. It’s possible that AI actually ends up radically increasing inequality. It could make the owners of the supercomputers behind AI systems insanely rich. It could empower all sorts of business owners to replace their workers with machines. It could erase most of our comparative advantages as human beings and make all but some workers in various industries obsolete, leaving only superstars, those with seniority, or those with connections to do those jobs.
“I don’t wanna rule it out,” Autor says. “I mean, you can imagine a world where you just need a few super experts overseeing everything and everything else is done by machines.” In that world, we would need to completely rethink how our society functions, what we do with our time, and how income is distributed.
But, Autor says, he sees important reasons why these bad scenarios are unlikely, at least across the entire economy, and anytime soon.
Why The Happier Scenario Is More Likely Than The Bad Scenarios
First of all, AI still lags far behind humans in many realms. We still possess plenty of capabilities, talents, and skills that these machines cannot match. “First of all, we live in the physical world, which most machines do not,” Autor says. “There’s all kinds of things that we can do with our hands and our bodies and our faces, and so that machines are not at the moment doing.”
More than that, Autor says, we still have brains that outmatch computers in many ways. We are “more adaptive problem solvers,” Autor says. “We have much more common sense, and, of course, we’re much better at relating to other people. And we’re more creative. I don’t think we’ve been surpassed in many realms. In some we will be surpassed quickly, but some we will not be.”
Even more, Autor says, we are actually living in a period where the problem is we don’t have enough people to do jobs, not that there are too few jobs for people to do. Our fertility rates have plummeted. Our population is getting older and retiring. Immigration has radically slowed. “The US population is growing at its slowest rate since the founding of the nation,” Autor says. Many other countries are seeing a similar demographic crunch.
“And that’s a world where we actually need a lot more automation to enable us to do the things we need to do, including care for the elderly,” Autor says. “So I’m not worried about us running out of work and running out of jobs to do.”
Autor says his biggest fears at the moment are actually that AI could be used to build smart weapons, spread misinformation, have us further question truth and reality with fake videos, images, and recordings, and endanger our peace and security. “In my mind, I actually think the irony is that the labor market is the least scary part of this at the moment,” Autor says. “I’m actually much more scared about the impact of AI on everything else.”
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What AI rebuild middle class? : Planet Money : NPR Tech NewsArtificial Intelligence FacebookTwitterPinterestWhatsApp automation 3154529 wide b4a9e8936cba6d1218d521a211d066aa4361c3c9 s1400 c100.jpg Advertisement Table contents When Technology Was A Force For Equality Computers Reboot The Labor Market The Rise Of AI The Happy Scenario The Bad Scenarios Why The Happier Scenario Is More Likely Than The Bad Scenarios We witnessing technological revolution unfolding real time. The rise smart machines opens scary possibilities; economy, democracy, even, catastrophic scenarios, continued existence species. But, act together, age Artificial Intelligence rebuild middle class, says MITs David Autor, labor economists world. Autor sees potential future harness power AI create bunch good jobs people left decades. Even cheery scenario, AI profoundly disrupt job market. But, Autor says, concerted efforts smart policies, bring dream prosperous equal economy reality. For decades, technology force greater inequality. Since 1990s, Autor colleagues uncovered mountain evidence this. Autor calls job polarization. Basically, computers great jobs highincome, collegeeducated workers, great jobs else. Autors research suggests computers killed range jobs manufacturing offices provided solid opportunities Americans college degree. Advertisement But new empirical evidence suggests age AI different. It poses possibility that, instead highly skilled collegeeducated workers reaping benefits assistance smart machines, skilled noncollegeeducated biggest boost. Autor hopeful that, right policies prepare assist Americans succeed new AI economy, wider array workers better range jobs, lowering barriers entry creating new opportunities. Lets use AI reinstate middle class, Autor declares. It rallying new technological era. ASUS ROG Zephyrus M16 equip 11th Gen Intel i9 RTX 3070 TAGS When Technology Was A Force For Equality Technological change force greater inequality. In fact, Autor says, technology provided significant boost creating expanding middle class. But, worth noting, story began disruption misery. And possible that, happy economic future Autor envisions, things proceed similar way. Advertisement Prior Industrial Revolution, skilled artisans masters production. These workers relatively good living making products, like textiles tools, largely hands. Then came age machines factories, artisans saw livelihoods obliterated. Quite infamously, 1811, socalled Luddites, group disgruntled artisans Britain, began sabotaging textile machines forced compete with. These machines textile industry productive; textile manufacturing easier do; clothing cheaper masses, increasing living standards society. The Luddites, oldschool way making things, compete, prosperity fell. Advertisement The Luddites rose reason, Autor says. Their work devalued. The machineenabled factory jobs replaced artisanal work paid less. But, time, manufacturing jobs got better, especially newly electrified factories began producing complicated gadgets machines, like automobiles. The technology production expensive required specific skill set. Titans industry learned best pay good wage ensure recruited retained skilled workforce. The skills workers needed require college education, valuable nonetheless. In industrial era, Americans, didnt necessarily excel school, good jobs Autor calls middleskill work. These jobs required workers know read, basic math, possess skills, didnt need type elite skills typically acquired years education. Workers middleskill jobs usually followed formal instructions, like insert widget turn twice receipts, create document tracking typewriter, add up. Middleskill jobs commonly places like factory floors, offices, bookkeeping, compiling paper records, calling suppliers clients telephone. And turned paid relatively well. Its why, Autor says, The industrial era helped grow middle class. During era, Autor says, technology force equality. It created demand kind valuable work wide spectrum society do. It gave tailwind, way organizing work productive use people high school education, Autor says. Most people didnt need college degree successful type work provide type expertise demanded time. Motion capture AI movies like Avatar study rare diseases TAGS But wasnt technology, course, enabled economy widely shared prosperity come being. There political institutional factors helped well, especially, Autor says, public investments universal K12 education, helped prepare kids enter growing sectors economy. Computers Reboot The Labor Market The age personal proved unlike industrial era preceded it. Technologies like electricity, plumbing, conveyor belts, manufactured gadgets, gizmos, machines sorts boon creating good jobs wide range Americans werent bookish, studious, exceptionally gifted. Computers, however, proved largely bust them. Autors research finds mainly elite, collegeeducated workers reaped benefits. The era actually devalued mass expertise created massively amplified demand elite expertise, Autor says. The work lawyers, doctors, Wall Street traders, corporate executives, professionals stripes socalled knowledge workers productive valuable computers. They benefited tremendously able send emails, create digital spreadsheets, search Internet, create new apps, trade stocks information instantaneously world. Computers profoundly enhanced elite groups ability jobs, jobs required years education hardtoget knowledge skills, influx people relatively slow. That meant professionals kept getting paid better better. Meanwhile, jobs lower end pay spectrum, janitors, fast food cooks, cashiers, dishwashers, security guards, on, continued grow bunch work benefits new technology. Even worse, middleskill jobs ones created industrial era helped build middle class killed new technology. Many jobs manufacturing taken robots. Other coveted jobs offices jobs enabled noncollegeeducated workers foot door profitable companies automated away software. Many workers forced wellpaying occupations lowerpaying ones service industry. Almost decade ago, Autor wrote influential paper argued central reason polarization computers do. Computers time programmed tasks explicit, stepbystep instructions formal rules. That, unfortunately, middleskill jobs chopping block jobs exactly computers robots do. They followed formal rules. Whether assembly line lot clerical work offices, tasks broken stepbystep procedures machines programmed do. And, so, got automated away, workers held jobs forced lowerpaying occupations. But Autor saw computers major contributor rising inequality, bullish future job growth. He didnt think jobs going automated away. Thats saw limitations computers kind big security fence protecting range jobs upper lower ends labor market. Computers things like reasoning, decisionmaking, abstract thinking, problemsolving, creativity meant highpaying, collegeeducated jobs safe time being. Even better, stuff computers enhanced or, econ jargon, complemented work highly skilled workers, allowing specialize better breadandbutter skills. At time, technology lot jobs low end. They didnt people skills. They deliver latte meal smile. Despite continual advances, robots manual tasks like cleaning building kinds stuff. Even robots build stuff, expensive needed programmed stepbystep instructions controlled environments, like precisely engineered assembly line. Autor called gigantic fence protecting jobs Polanyis Paradox, reference brilliant HungarianBritish scholar philosopher Michael Polanyi. Polanyi wrote book called The Tacit Dimension, observed that, Autors words, We know tell. That is, understand lot stuff like ride bicycle, use hammer, clean toilet, sarcastic joke, recognize face people havent seen decades but, asked, itd super hard write stepbystep instructions procedures things. The reason I invoked Polanyi paper observation time automate computers, needed understand explicitly, tacitly, needed write program nonsentient, noncreative, nonproblem solving machine execute steps, human input, Autor says. Computers improvise, figure own. The Rise Of AI When Autor wrote influential paper decade ago, machine learning, foundation modern AI systems, infancy. And, then, raging debate new AI systems eventually able do, especially dont work way brains work. These systems essentially crunch bunch data learn patterns associations replicate remix. They dont reason, way weve traditionally thought reasoning works. Vivo Y12A: Snapdragon 439 great battery 120 euros change TAGS batterychangeEurosgreatsnapdragonVivo But, decade ago, Autor colleagues foresaw machine learning capable things traditional programs do. It overcomes Polanyis Paradox, Autor says. In words, humans dont write procedures AI stuff. You dont program stepbystep instructions. You feed bunch data, theyre races. Over years especially months turned patternrecognizing machines capable incredible feats. Theyre now, example, things like translating images brain activity words, effect, reading minds. Even best brain scientists struggling figure theyre stuff like this. Now, instead struggling program machines stuff, struggling figure machines stuff theyre doing. So I Polanyis Revenge, Autor says. Now computers tacitly understand kinds stuff explain us. So, yes, Autor believes new technological era. The era smart machines. Computers jump security fence protecting range jobs, bright line separating computers humans do. And watching unfolding new era theres lot uncertainty whats going happen. The Happy Scenario Lets start happy potential future: AI doesnt completely erase comparative advantages human beings; rather, enhances ability things. If thats case, Autor sees real possibility new technological era unfold similarly industrial era. It begin disruption misery elite workers, artisans. But process economy productive, products services cheaper, living standards higher, pursue right policies bunch people college education capable range valuable jobs. Autors optimistic vision early evidence supporting it. Over months, empirical studies economic effects AI suggest makes lowerskilled workers better jobs equalizing effect labor market. One study, wrote Planet Money newsletter week, showed experienced, lowerskilled customer service representatives saw big gains job performance company introduced AI chatbot help work. More experienced, higherskilled reps saw little benefit. Another study, Autor brought attention, showed similar. Two Autors students MIT conducted experiment ChatGPT helped people writing tasks. They lessskilled writers ended getting better writing, highskilled workers saw lesser benefit. As result, inequality workers decreased. If findings studies replicated built economy, creates bunch opportunities. Autor imagines economy, where, assisted AI, wider range workers kind work thats currently upper echelon labor force. The good scenario AI makes elite expertise cheaper accessible, Autor says. All sudden, workers summarize literature, write decent document, organize schedule, medical analysis, design product, figure route, maybe fly plane. In words, jobs currently reserved elite workers lowerskilled workers smart machines help them. That products services cheaper, open ladders opportunity people. But, Autor says, need retool education help reality, enabling people gain foundational skills industries teaching effectively use new technology. He sees parallel industrial era, universal K12 education helped prepare wide array Americans industrial jobs. Autor says need policies, government, businesses, universities, nonprofits, help bring world being. Basically, middleskilled workers future people foundational skills healthcare, trades, travel services, Autor says. Then, help AI, good jobs. Of course, rosy scenario, expertise highpaid professionals devalued theyll face new competition AIenhanced newcomers. But Autor imagines happening gradually. I dont think theyre gonna like thrown floor office buildings, Autor says. This scenario, Autor says, potential benefit: In long run, means fewer people college, expensive. The Bad Scenarios The worst scenario AI sentient kills all. Or, likely, Autor says, use AI kill other. Some leading technologists actually worried AI poses existential threat us, lets laugh possibility off. Autor worried AI possibly empower nefarious actors, spread misinformation, hijack critical systems, andor create host security threats. But ahem putting existential threats aside, bad economic scenarios. Its possible AI actually ends radically increasing inequality. It owners supercomputers AI systems insanely rich. It empower sorts business owners replace workers machines. It erase comparative advantages human beings workers industries obsolete, leaving superstars, seniority, connections jobs. I dont wanna rule out, Autor says. I mean, imagine world need super experts overseeing machines. In world, need completely rethink society functions, time, income distributed. But, Autor says, sees important reasons bad scenarios unlikely, entire economy, anytime soon. Why The Happier Scenario Is More Likely Than The Bad Scenarios First all, AI lags far humans realms. We possess plenty capabilities, talents, skills machines match. First all, live physical world, machines not, Autor says. Theres kinds things hands bodies faces, machines moment doing. More that, Autor says, brains outmatch computers ways. We adaptive problem solvers, Autor says. We common sense, and, course, better relating people. And creative. I dont think weve surpassed realms. In surpassed quickly, be. Even more, Autor says, actually living period problem dont people jobs, jobs people do. Our fertility rates plummeted. Our population getting older retiring. Immigration radically slowed. The US population growing slowest rate founding nation, Autor says. Many countries seeing similar demographic crunch. And thats world actually need lot automation enable things need do, including care elderly, Autor says. So Im worried running work running jobs do. Autor says biggest fears moment actually AI build smart weapons, spread misinformation, question truth reality fake videos, images, recordings, endanger peace security. In mind, I actually think irony labor market scary moment, Autor says. Im actually scared impact AI else. Advertisement Latest articles Apple iPhone 15s 48MP stacked camera sensor faces production delays Apple experience production delays iPhone 15 iPhone 15 Plus... Mobile Samsung Galaxy A34 5G: Indepth analysis opinion Dont time read review? Go directly Conclusions section... More like TechSmartHow smart tech changing life By AEREZONA DEVELOPERS Office 31, 3rd Floor, Frahan Plaza G11 Markaz, Islamabad. email: [emailprotected] FacebookInstagramTwitter policy Terms Conditions Disclaimer Us Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox 2021 BY AEREZONA DEVELOPERS. | 2,023 | [
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https://waow.com/2021/09/15/un-urges-moratorium-on-use-of-ai-that-imperils-human-rights/ | 2021-09-15T00:00:00 | en | UN urges moratorium on use of AI that imperils human rights |
UN urges moratorium on use of AI that imperils human rights
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UN urges moratorium on use of AI that imperils human rights
New
September 15, 2021
6:32 am
Associated Press
National news from the Associated Press
GENEVA (AP) — The U.N. human rights chief is calling for a moratorium on the use of artificial intelligence technology that poses a serious risk to human rights, including face-scanning systems that track people in public spaces. Michelle Bachelet also says countries should expressly ban AI applications that don’t comply with international human rights law. Applications that should be prohibited include government “social scoring” systems which judge people based on their behavior and certain AI-based tools that categorize people by ethnicity or gender. She said AI-based technologies can do good but can also “have negative, even catastrophic, effects” if not used judiciously.
Associated Press
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| UN urges moratorium on use of AI that imperils human rights | UN urges moratorium use AI imperils human rights tornado hurricane strongtstorms wintrymix freezingrain freezingdrizzle lightrain rain flurries snow blowingsnow sleet fog wind cloudy mostlycloudynight partlycloudynight partlycloudy clearnight sun mostlyclearnight mostlysunny isolatedtstorms scatteredtstorms heavyrain scatteredsnow heavysnow default scatteredshowersnight scatteredsnownight scatteredtstormsnight mostlycloudy chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Skip Content Mosinee 48 Eagle River 42 Rhinelander 44 Stevens Point 42 Wisconsin Rapids 50 Marshfield 49 Home News We Remember 911 Back School Politics Wisconsin News Coronavirus Wake Up Wisconsin The rise fall Wausau Center Mall Melissas 30th Anniversary United Way Jefferson Awards Crime Stoppers Pet Saver Wisconsin Proud Meet News Team Coronavirus Coronavirus Coverage WATCH DAILY HERE: ABC Special Reports COVID19 Weather Interactive Radar Radar Room Forecast Central Maps Alerts Weather Service Alerts Closings Delays Closings Delays Policy Submit School Closings Weather Blog Weathercam Network Meet Weather Team Sports Packers Pack Attack Countdown Kickoff Sports Express PM Brewers Badgers High School Sports Meet Sports Team Things Do 2021 Central Wisconsin Golf Card Contests Ticket Tuesday Rules Ticket Tuesday Entry Form Birthdays Watch TV Listings WAOW Livestream 9.1 ABC Network 9.2 Decades 9.3 This TV 9.4 Court TV 9.5 True Crime Discover Wisconsin Sign Email Alerts Advertise WAOW Advertiser Services Careers WAOW UN urges moratorium use AI imperils human rights New September 15, 2021 6:32 Associated Press National news Associated Press GENEVA AP The U.N. human rights chief calling moratorium use artificial intelligence technology poses risk human rights, including facescanning systems track people public spaces. Michelle Bachelet says countries expressly ban AI applications dont comply international human rights law. Applications prohibited include government social scoring systems judge people based behavior certain AIbased tools categorize people ethnicity gender. She said AIbased technologies good negative, catastrophic, effects judiciously. Associated Press More Stories EU chief outlines ambitious plan boost blocs chipmaking September 15, 2021 6:48 Edmunds compares Volkswagen Golf GTI Hyundai Veloster N September 15, 2021 6:43 California Gov. Newsom crushes Republicanled recall effort September 15, 2021 6:29 California Gov. Gavin Newsom beats GOPled recall September 15, 2021 6:27 STORM TRACK 9 WEATHER Mostly dry weather way Get ready nice weather warmup days. There day nearterm outlook significant chance NA Closings Delays CONNECT WITH NEWS 9 WAOWCoronavirus Coverage COVID active cases increasing, seen entire households Leading health agencies urging vaccine pregnant breastfeeding women COVID19 testing requirement Wisconsin state employees begins October 18 Census: Relief programs staved hardship COVID crash Nearly 70 Wisconsin state employees partially vaccinated COVID19 WATCH WAOW WAOW 1908 Grand Avenue Wausau, WI 54403 News Tips: 7158429293 news Careers Advertise Advertiser Services FCC Public Files: WAOW WMOW Public File Help EEO Report Closed Captioning FCC Applications CONNECT WITH WAOW NEWS 9Looking something? All content 2021, Wausau TV, LLC. 2021 Allen Media Broadcasting, LLC. . Ad Choices Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset You outdated browser. Please upgrade best experience. | 2,021 | [
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Let's talk about Artificial Intelligence for recycling with Brantner
Business Talk AI
:
Let's talk about Artificial Intelligence for recycling with Brantner
Sep 22, 2022
Reading time: about 4 minutes
#Brantner
#Josef Scheidl
#artificial intelligence
#business news
#business talk
#collection and handling
#digitisation
How important is data-driven technology for recycling processes? What are the advantages of using artificial intelligence and waste sorting robots? Industry experts answer those questions and more in our business talk. This time: Josef Scheidl from Brantner Green Solutions.
© Tatiana Shepeleva - stock.adobe.
What are the current challenges in developing recycling technology?
We have successfully developed our in-house artificial intelligence, Branter AI, in recent years. We have also succeeded in putting it to use in a wide variety of application areas. We use Brantner AI internally, but partner companies also make use of it. We are therefore optimistic about the future, even if we currently must deal with supply bottlenecks in the robot sector and longer chip waiting times.
How important is digitization and artificial intelligence in the recycling process?
Extremely important. The quality of the waste can be increased with the help of artificial intelligence compared to manual separation. The fact that there are still recyclables to be found in the waste made us develop our own Brantner AI, as there are no satisfactory existing solutions on the market. Used correctly, it detects interfering and recyclable materials, is objective and saves a lot of time.
What processes are best for smart solutions?
Processes in which deviations from the standard must be detected visually and processes in which sensor technology measures values and initiates workflows based on these values.
What are the advantages in automated processes compared to manual labour? Are there still processes that manual workers better do?
The advantages are that automated processes do not know the feeling of monotony even with constant work processes and the quality of the work is always the same. In addition, external influences such as heat, cold, or odor usually have no effect on the process. Automated processes are also not tied to a time or holidays. The disadvantage, however, is that AI alone and without training by humans cannot make decisions or intervene. Therefore, our work will never be able to be done by machines only and it is not our drive to ever achieve that. Humans remain at the center of everything we do.
Josef Scheidl, CEO of Brantner
-
© Josef Scheidl Brantner
What solutions does Brantner offer in that segment?
The Brantner AI can be used in many applications. Our "Hawkeye" detects 32 interfering materials, regardless of their condition, and assesses the purity of the waste as it is poured into the garbage cans. Based on this assessment, the system decides whether re-sorting is necessary and also defines which interfering materials to look for.
In general, however, Brantner AI can be used wherever something needs to be seen, heard or understood. In this way, time-consuming work can be automated and quality increased.
Can you describe how the technology works?
A chip is installed in the front area of the garbage can, which is scanned as soon as the waste loader hooks up the garbage can. "Hawkeye" records the subsequent dump with a camera, and the images are forwarded in real-time to a computing unit that uses artificial intelligence to detect whether there are any undesirable substances involved. Depending on this, a decision is made within a few seconds. This determines how good the quality of the entire tour is and which steps are necessary.
The Brantner Hawkeye recognizes objects in waste in all different forms and transformations.
-
© Brantner
How maintenance-intensive is this technology?
We make a conscious effort to use few, simple components to make maintenance as time-saving and easy as possible. The cameras used at Hawkeye are fully commercially available smartphone cameras. Replacing them when necessary is very quick and inexpensive.
What sets Brantner’s technology apart from others?
On the one hand, we strive to find solutions that can be easily adapted. Hawkeye recognizes deviations, but it doesn't care whether it's a PET bottle that's been thrown in incorrectly, a torn open cement bag in the DIY store, or a deviating batch number. On the other hand, we focus on ensuring that the solutions are cost-effective, do not require high maintenance, and can be repaired very quickly and easily by the user himself if necessary.
Is the industry willing to adapt to new technologies?
Yes, I think so because there is no way around it. The waste industry is about recyclable materials that must be returned to the cycle to relieve and protect our environment. Recyclable materials must be recycled and not incinerated. Since, unfortunately, perfect waste separation will never happen without intervention, our industry is called upon to take on this task and follow a very clear zero waste strategy.
The quality of the waste can be increased with the help of artificial intelligence compared to manual separation.
Josef Scheidl, CEO of Brantner
Will there be more digitization and AI in recycling technology in the future?
It will, definitely. We do live environmental protection and as soon as we are faced with a challenge, we look for solutions and implement them. As long as there is something left over after the most conscientious waste separation, Brantner will not rest and will work on developing solutions.
Where do you see the biggest market growth?
In our company in the processing of waste incineration slags. We have developed a globally unique system, the "Brantner Slagtory", to filter out even the smallest metal particles from residual waste ashes and slags and return them to the recyclable materials cycle. The recovered metals can be processed again directly in steel, aluminum, or copper plants
Post Date
Sep 22, 2022
Last Update
Sep 23, 2022
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| Let's talk about Artificial Intelligence for recycling with… | Lets talk Artificial Intelligence recycling WMW NewsletterMedia plannerSubscriptionEPaperB2B AgencyShop WEKA Industrie Medien WEKA PRIME ArticlesResource useRecyclingRecoveryWaste EnergyLandfillReuseCollection HandlingMaterialsPlasticMetalsOrganic WasteEWastePaperHazardous WasteOther MaterialsPeopleWomen WastemanagementIn SpotlightOpinionBusiness CommentaryResearchResearch NewsPapers ReportsWhitepaper BusinessDigitisationBusiness NewsCompany newsroomsEvents FairsMultimediaVideosPhoto spreads WEKA PRIME Articles Resource use Zurck Recycling Recovery Waste Energy Landfill Reuse Collection Handling Materials Zurck Plastic Metals Organic Waste EWaste Paper Hazardous Waste Other Materials People Zurck Women Wastemanagement In Spotlight Opinion Business Commentary Research Zurck Research News Papers Reports Whitepaper Business Zurck Digitisation Business News Company newsrooms Events Fairs Multimedia Zurck Videos Photo spreads Home Resource use Lets talk Artificial Intelligence recycling Brantner Business Talk AI : Lets talk Artificial Intelligence recycling Brantner Sep 22, 2022 Reading time: 4 minutes Brantner Josef Scheidl artificial intelligence business news business talk collection handling digitisation How important datadriven technology recycling processes? What advantages artificial intelligence waste sorting robots? Industry experts answer questions business talk. This time: Josef Scheidl Brantner Green Solutions. Tatiana Shepeleva stock.adobe. What current challenges developing recycling technology? We successfully developed inhouse artificial intelligence, Branter AI, recent years. We succeeded putting use wide variety application areas. We use Brantner AI internally, partner companies use it. We optimistic future, currently deal supply bottlenecks robot sector longer chip waiting times. How important digitization artificial intelligence recycling process? Extremely important. The quality waste increased help artificial intelligence compared manual separation. The fact recyclables waste develop Brantner AI, satisfactory existing solutions market. Used correctly, detects interfering recyclable materials, objective saves lot time. What processes best smart solutions? Processes deviations standard detected visually processes sensor technology measures values initiates workflows based values. What advantages automated processes compared manual labour? Are processes manual workers better do? The advantages automated processes know feeling monotony constant work processes quality work same. In addition, external influences heat, cold, odor usually effect process. Automated processes tied time holidays. The disadvantage, however, AI training humans decisions intervene. Therefore, work able machines drive achieve that. Humans remain center do. Josef Scheidl, CEO Brantner Josef Scheidl Brantner What solutions Brantner offer segment? The Brantner AI applications. Our Hawkeye detects 32 interfering materials, regardless condition, assesses purity waste poured garbage cans. Based assessment, decides resorting necessary defines interfering materials look for. In general, however, Brantner AI needs seen, heard understood. In way, timeconsuming work automated quality increased. Can technology works? A chip installed area garbage can, scanned soon waste loader hooks garbage can. Hawkeye records subsequent dump camera, images forwarded realtime computing unit uses artificial intelligence detect undesirable substances involved. Depending this, decision seconds. This determines good quality entire tour steps necessary. The Brantner Hawkeye recognizes objects waste different forms transformations. Brantner How maintenanceintensive technology? We conscious effort use few, simple components maintenance timesaving easy possible. The cameras Hawkeye fully commercially available smartphone cameras. Replacing necessary quick inexpensive. What sets Brantners technology apart others? On hand, strive solutions easily adapted. Hawkeye recognizes deviations, doesnt care PET bottle thats thrown incorrectly, torn open cement bag DIY store, deviating batch number. On hand, focus ensuring solutions costeffective, require high maintenance, repaired quickly easily user necessary. Is industry willing adapt new technologies? Yes, I think way it. The waste industry recyclable materials returned cycle relieve protect environment. Recyclable materials recycled incinerated. Since, unfortunately, perfect waste separation happen intervention, industry called task follow clear zero waste strategy. The quality waste increased help artificial intelligence compared manual separation. Josef Scheidl, CEO Brantner Will digitization AI recycling technology future? It will, definitely. We live environmental protection soon faced challenge, look solutions implement them. As long left conscientious waste separation, Brantner rest work developing solutions. Where biggest market growth? In company processing waste incineration slags. We developed globally unique system, Brantner Slagtory, filter smallest metal particles residual waste ashes slags return recyclable materials cycle. The recovered metals processed directly steel, aluminum, copper plants Post Date Sep 22, 2022 Last Update Sep 23, 2022 WEKA PRIME Articles Resource use Recycling Recovery Waste Energy Landfill Reuse Collection Handling Materials Plastic Metals Organic Waste EWaste Paper Hazardous Waste Other Materials People Women Wastemanagement In Spotlight Opinion Business Commentary Research Research News Papers Reports Whitepaper Business Digitisation Business News Company newsrooms Events Fairs Multimedia Videos Photo spreads Services Become member Our newsletters All subscriptions Our events Our media planners Imprint AGB Einstellungen 2022 WEKA Industrie Medien GmbH Required Essential These cookies mandatory required correctly operate Website Sessions. 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https://wfin.com/fox-political-news/warren-blasts-closed-door-senate-ai-meeting-calls-for-rapid-regulation/?utm_source=rss&utm_medium=rss&utm_campaign=warren-blasts-closed-door-senate-ai-meeting-calls-for-rapid-regulation | 2023-09-14T00:00:00 | en | Warren blasts closed-door Senate AI meeting, calls for rapid regulation - WFIN Local News |
Warren blasts closed-door Senate AI meeting, calls for rapid regulation - WFIN Local News
Thursday, September 14, 2023
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Warren blasts closed-door Senate AI meeting, calls for rapid regulation
September 14, 2023
Following a closed Senate AI forum with tech giants, union leaders and artificial intelligence experts, Sen. Elizabeth Warren, D-Mass., told reporters Wednesday AI should be regulated to protect privacy.
She also criticized the decision to keep media and the public from viewing the hearing.
“I do not understand why the press has been barred from this meeting,” Warren said. “What most of the people have said is we want innovation, but we have got to protect safety.”
Warren said every single person in the room believed government has a role to play in the fast-changing AI technology. She added that one measure she introduced with Sen. Lindsey Graham, R.-S.C., should be considered soon.
“Lindsey Graham and I have a tech bill, and it is a tech bill that would provide some serious regulation over some of the tech giants — it covers issues like privacy as well as AI.”
HERE’S WHAT GOP SEN. MIKE ROUNDS TOLD MUSK, ZUCKERBERG, OTHER EXPERTS AT CLOSED-DOOR SENATE AI FORUM
In July, Graham and Warren introduced the “Digital Consumer Protection Commission Act.” It would create an independent “bipartisan regulator charged with policing the biggest tech platforms, like Facebook, Google, and Amazon, to promote competition, protect Americans’ privacy, and prevent harm online,” according to a summary of the bill.
The bipartisan hearing Wednesday comes as several Senate committees scheduled AI hearings this week to discuss “increasing transparency” for consumers.
CLICK HERE TO GET THE FOX NEWS APP
Warren also criticized the decision to only allow moderators to ask question of the tech executives and experts who spoke to the group.
Sen. Mike Rounds, R-S.D. — one of the moderators for the AI hearing — told Fox News Digital Wednesday the hearing was closed to encourage tech giants to speak “perhaps a little more freely to the members about some of the challenges that the members will find as they look at either promoting or regulating this particular segment [of AI technology].”
‘FEEL-GOOD MEASURE’: GOOGLE TO REQUIRE VISIBLE DISCLOSURE IN POLITICAL ADS USING AI FOR IMAGES AND AUDIO
The event was broken up into two sessions, with Sen. Majority Leader Chuck Schumer, D-Ny., moderating the first and Rounds taking over the second. Notable tech figures attending included Elon Musk, Mark Zuckerberg, Bill Gates and Sam Altman.
Several congressional members have introduced bills to regulate AI development in recent months.
← Dems blast Biden admin for efforts to crack down on critical mineral production: ‘Hurt the mining industry’
WATCH: Karine Jean-Pierre rants against Biden impeachment inquiry, snaps at reporter in testy moment →
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| Warren blasts closed-door Senate AI meeting, calls for rapid regulation | Warren blasts closeddoor Senate AI meeting, calls rapid regulation WFIN Local News Thursday, September 14, 2023 WFIN Local News News, Sports Weather Shows Good Mornings Brian Kilmeade Clay Buck Dave Ramsey Tradio The Car Show AgriBusiness Program Schedule News Local News Powered Visit Findlay Local News Videos FOX Health News FOX National News FOX Political News FOX Science News FOX Technology News FOX Travel News FOX World News WAZE Traffic Center Sports Local Sports High School Scoreboard Powered Owens Community College Coaches Corner Game Audio Archive Cleveland Guardians School Delays Weather Weather ForecastPowered Visit Findlay Local Text Alerts Local Cancellations Submit Cancellation River Levels Community Local Cancellations Submit Cancellation Local Text Alerts Riverside Concerts Pump Patrol Contests Contests Contest Rules Advertising Us Advantage Partners Pay Your Bill Employment Listen Listen Live Mobile App Alexa Skill FOX Political News Warren blasts closeddoor Senate AI meeting, calls rapid regulation September 14, 2023 Following closed Senate AI forum tech giants, union leaders artificial intelligence experts, Sen. Elizabeth Warren, DMass., told reporters Wednesday AI regulated protect privacy. She criticized decision media public viewing hearing. I understand press barred meeting, Warren said. What people said want innovation, got protect safety. Warren said single person room believed government role play fastchanging AI technology. She added measure introduced Sen. Lindsey Graham, R.S.C., considered soon. Lindsey Graham I tech bill, tech provide regulation tech giants covers issues like privacy AI. HERES WHAT GOP SEN. MIKE ROUNDS TOLD MUSK, ZUCKERBERG, OTHER EXPERTS AT CLOSEDDOOR SENATE AI FORUM In July, Graham Warren introduced Digital Consumer Protection Commission Act. It create independent bipartisan regulator charged policing biggest tech platforms, like Facebook, Google, Amazon, promote competition, protect Americans privacy, prevent harm online, according summary bill. The bipartisan hearing Wednesday comes Senate committees scheduled AI hearings week discuss increasing transparency consumers. CLICK HERE TO GET THE FOX NEWS APP Warren criticized decision allow moderators ask question tech executives experts spoke group. Sen. Mike Rounds, RS.D. moderators AI hearing told Fox News Digital Wednesday hearing closed encourage tech giants speak little freely members challenges members look promoting regulating particular segment [of AI technology]. FEELGOOD MEASURE: GOOGLE TO REQUIRE VISIBLE DISCLOSURE IN POLITICAL ADS USING AI FOR IMAGES AND AUDIO The event broken sessions, Sen. Majority Leader Chuck Schumer, DNy., moderating Rounds taking second. Notable tech figures attending included Elon Musk, Mark Zuckerberg, Bill Gates Sam Altman. Several congressional members introduced bills regulate AI development recent months. Dems blast Biden admin efforts crack critical mineral production: Hurt mining industry WATCH: Karine JeanPierre rants Biden impeachment inquiry, snaps reporter testy moment Share This Post: WFIN Local News Audio Advertising PartnersLinks Interest WFIN News Videos Click More News Videos Weather Partner Advantage Partners OUR MISSION: To electronic media choice information, entertainment, meeting community needs OUR INFORMATION WFIN Studio P.O. Box 1507 Findlay, Ohio 458391507 551 Lake Cascades Parkway Findlay, Ohio 45840 Phone: 4194224545 Us Blanchard River Broadcasting Company A Division The Findlay Publishing Company WFIN WKXA 106.3 The Fox Please read Privacy Statement Commenting Policy Public FileIf need help accessing file disability, contact [emailprotected] EEO FCC Applications 2023 WFIN Local News. . Developed The Findlay Publishing Company | 2,023 | [
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https://windypundit.com/2022/07/no-ground-truth-sex-trafficking-and-machine-learning/ | 2022-07-28T00:00:00 | en | No Ground Truth: Sex Trafficking and Machine Learning - Windypundit | No Ground Truth: Sex Trafficking and Machine Learning - Windypundit
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WindypunditClassical liberalism, criminal laws, the war on drugs, economics, free speech, technology, photography, sex work, cats, and whatever else comes to mind.No Ground Truth: Sex Trafficking and Machine LearningJuly 27, 2022 By Mark Draughn Leave a CommentA tweet last week by Carol Fenton led me to an article in the Vancouver Province by Nathan Griffiths which begins with a seemingly shocking statistic:Roughly 40 per cent of online ads offering escort and sex work services in B.C. included language indicating child sex trafficking, according to a new pre-print study from SFU.The article also includes this blurb from the head of a Canadian anti-sex-trafficking organization:“This is research-based proof and evidence that human trafficking is prevalent in our province, and that human trafficked victims are bought and sold in the same industry as sex workers,” Tiana Sharifi, CEO of Sexual Exploitation Education, said in a statement.Note the difference: The first quote speaks of sex ads “included language indicating child sex trafficking” whereas the second quote directly says “human trafficking is prevalent.” In some ways, this whole post is about that difference.If you’ve been following Elizabeth Nolan Brown’s coverage of sex trafficking at Reason magazine or through her Twitter account, you’re probably familiar with the ongoing moral panic over sex-trafficking. From bogus claims of 300,000 children at risk to police “sex-trafficking stings” that arrest hundreds but result in no sex trafficking charges, there’s a long history of law enforcement agencies and anti-sex-trafficking NGOs exaggerating the problem.So I was suspicious of the Province article. I suspected that the study’s descriptions of complicated subjects became less nuanced and more sensational as they traveled further from the source. By the time parts of the paper make it from researchers to reporters, commentators, and people with an axe to grind, a lot of important context can be lost.I’ve obtained a copy of the pre-print research paper [1]Barry Cartwright, Richard Frank, Tiana Sharifi, Mandeep Pannu. Deploying artificial intelligence to detect and respond to the use of digital technology by perpetrators of human trafficking. International CyberCrime Research Centre, Simon Fraser University, British Columbia, pre-print April 2022., and that does seem to be what happened here. The paper, titled “Deploying artificial intelligence to detect and respond to the use of digital technology by perpetrators of human trafficking,” was produced by researchers at the International CyberCrime Research Centre at Simon Fraser University in British Columbia, Canada. And as far as I can tell with my limited expertise, it appears to be a perfectly reasonable piece of research.What it’s not, however, is a study of sex trafficking. Not really.Before explaining what I mean by that, let’s take a look at the research. The Province article gives a pretty accurate summary:The research, the first of its kind in B.C., used machine learning and custom web crawlers to collect and analyze a data set of online ads for escort and sex work services. It was co-authored by SFU’s International Cyber Crime Research Centre and Sexual Exploitation Education, a Vancouver-based agency working to prevent human trafficking and sexual exploitation.[…]The research involved training a machine learning model on “a highly elaborate list of key words and phrases,” including emojis, according to Sharifi. Ads were collected from four of the most popular websites in Canada offering escort and sex work services.You don’t develop machine learning (ML) solutions the same way you solve a problem with ordinary software: You don’t have to provide the detailed step-by-step process for reaching the solution. Instead, you use a collection of input samples matched to the desired outputs to “train” the ML model. During this process, the ML algorithm tries to extract information from the inputs that will allow it to produce the correct outputs. This is the learning part of “machine learning.” and different type of ML algorithms perform this process in different ways, have different costs, and produce different forms of solutions.For example, suppose you want to analyze traffic patterns in a tunnel, perhaps to predict pavement wear, by determining how many trucks are passing through. You’ve already installed cameras with motion detectors to capture images of every vehicle, but the system is also capturing images of cars, and you need to separate the trucks from the cars to prepare your reports. You decide to try doing that with machine learning.To train the model, you’ll have to show it a bunch of pictures of vehicles and tell it which images contain cars and which images contain trucks. In this case, you can get a good training set by using a sample of actual images from the tunnel and having a team of people look at each one to classify it as a car or truck.Let’s say you determine the vehicle type for 10,000 images. You then feed the images with corresponding vehicle types to the machine learning algorithm in training mode and let it do its thing. Unfortunately, trained ML systems tend to be somewhat mysterious — they build their knowledge in ways that are inherently difficult to understand, even if you can see how the knowledge is encoded, so the only way to really tell if the training worked is to try the model on new data and see how it does.That means having your human team and your trained ML model each classify another, say, 1000 images and compare their results. The closer the model comes to matching the human results, the better it’s performing. If it’s 95% accurate at picking out trucks, and that’s close enough for your purposes, your machine learning project has been a success.The researchers behind the human trafficking study wanted to do the same kind of thing, but with online sex ads, and instead of finding pictures of trucks, they wanted to find ads for trafficking victims.This was the part that got my attention. Just as you need pictures of trucks to train an ML system to recognize trucks, you need sex trafficking ads to train an ML system to recognize sex trafficking ads. I suppose it’s possible in theory: They could have searched police human trafficking case files to find instances where the victims were the subject of online sex ads and then used those ads for training and testing the ML model against ads tied to actual sex trafficking.The problem, as mentioned at the beginning of this post, is that actual sex trafficking cases are extremely rare — too rare to build up a large enough corpus of online ads to train an ML classifier. So where did the researchers find those ads? How did they know the ads were for human trafficking victims? The short answer is that they didn’t. Instead, they used a manual classification system to deem some of the ads as possibly related to sex trafficking, and then trained the ML models against those ads.The researchers started with a list of trafficking indicators from the Global Report on Trafficking in Persons published by the United Nations Office of Drugs and Crime (UNODC) in 2020. With that basic framework, they set about identifying words to search for:For this present study, we used search terms consisting of key words and key phrases identified by law enforcement agencies and community outreach organizations who specifically seek to educate about, prevent and interdict sex trafficking, we winnowed those down into key words and key phrases where we could confirm through careful manual inspection that they applied exclusively (or almost exclusively) to the marketing of the services of sex trafficking victims, and for the sake of precision, decided for the qualitative inspection that at least three of those key words or key phrases had to be present in order to flag an online advertisement as involving sex trafficking.The researchers also obtained lists of target words and phrases from the Royal Canadian Mounted Police and Sexual Exploitation Education, a Vancouver-based anti-trafficking agency. Combining these and other sources, they eventually came up with a framework for identifying possible sex trafficking ads based on key words and phrases. Here’s the example from the paper: (Caution, dirty words!)IndicatorKey WordsKey PhrasesSweet, compliant, obedientSweet; sweet; sweetest; polite; personality; cheerfulSweet and polite; sweet and polite; super sweet; Great Personality; cheerful mood; nice and friendlyAvailability24/7; 24hrs; anytimeAlways available; always available; available right now; all day; any time; Day or night; all day and night; available day & night; Ready Now; always ready; READY ANY TIME; always ready and available; available right now; Available 24hrs; 24 hours; 7 days a week; 7days a weekFlexibilityCARDATE; CAR; CARPLAYINCALL AND OUTCALL AND CARDATE; CAR DATE; Car-Date; Car Dates; CAR DATES; CARPLAY; incall and outcall; Incall and Outcall; INCALL AND OUTCALL: any where;No restrictionsOpenmindedOpen Minded; open-minded; open minded; as much as you want; Low restriction; No Restriction; NO RESTRICTION; NO restrictions; no limit; No limit; NO LIMIT; no limits; all service; unlimited fun; MINIMUM RESTRICTIONS; ALL STYLE; ALL STYLE ARE WELCOME; What you like; your own style; all you can play; do as you wish; anything you want; whatever you desire; TRY EVERYTHING; ALL YOUR NEED; everything you want; all your needsUnprotected sexBareback; raw; BAREBACK; Bbj; BBBJ; BBBj; BBBJ+; B-B-B-J; b88j; bxxJ; B*BJ; B-B-B- ; BB Be J; BEBEFSbBlowj,ob; BARE BACK; With Out Condom; without condom; without condoms; no condom; NO CONDOM; No Condom; raw; No Cover; no cover; ✈New in town, short visittown; new; NEW; plane; arrived; arrival; ARRIVE; ARRIVED; ARRIVALCatch me while you can; a few days; new in town; COMING WEEKLY; NEW IN TOWN; NEW here in town; new to town; NEW ARRIVED; NEW ARRIVAL; New Arrival; New arrival; new arrived; Newly Arrived; just arrived; short visit; Short-Term; Short Term Only; just off plane; limited timeYoung girl; new girl, fresh and juicyBaby; baby; BABY; fresh; Girl; GIRL; GURL; Newly; New; new; NEW; YOUNG; yOunG; Youth; tight; Juicy; daddy; Daddy; Pettit; Petite; PETITE; Cherry; student; Student; students; college;Rope bunny; babygirl; YOUNG GIRL; super tight; Tight Juicy; Sweet and Juicy; Sweet & Juicy; New girl; New girls; Brand new; SUPER TIGHT; SUPER TIGHT FIT; 100% PRETTY; PRETTY GIRL; Pretty Girl; 100% YOUNG; YOUNG girl; young girls; SEXY YOUNG GIRL; REAL YOUNG; First Time; PetiteCute; SEXY YOUNG GIRL; daddy; NeW YouNG Girl; FIRST TIME; 1st time; my first; First Day; first day; first customer; PetiteCute; cutegirl; student girl; school girl; shaved and sweet; sweet, young; SHOWERED & SHAVEN; 19yes; 19yo; 19 Year old; 19 yrs; 19year old; 19yrs old; 20yo; 20/yo; 20 yrs old; 20yrs; 20 years old; 20 year old; 20yrs old.; 19-22; 21 yrs; 21 old yrs; 21 years; 22yo: 22 yrs old; 22 yrs.; 22 year old; 22 years old; 22yrs; 22yrs oldLow pricesCHEAPNO DEPOSIT; price is low; PAYMENT ON ARRIVAL;100 dollars an hour; $100 1 hour; FOR CHEAP; cheap rate; CHEAP~RATE; very cheap rate; low rateMultiple girlsgirls;COME AND PICK; Our selling-points; different girls; Different new girls;MaleOperatormale operatorTo their credit, the researchers wanted to distinguish sex trafficking from adult consensual sex work. To that end, they also created a list of key words and phrases that implied consensual work:IndicatorKey WordsKey PhrasesAvailabilityAvailable 2-8pm; Available till Midnight; pre booking; Prebooking; available daytime or evenings; limited availability; make an appointment; 2 hour notice; 9am to 5pmFlexibilityUber; etransfer; depositno car dates; No Car Dates; etransfer deposit; email money transferRestrictionssubscribers;Subscribers;SUBSCRIPTION;GENTLEMEN’S ONLY; mature respectful gentlemen; NO DEGREDATION; OVER 30 ONLY; respectful clients only; NO AN..AL; no back door; NO BEBEFS; NO BBBF; RESTRICTIONS: NO C1M; NO BB8S; NO BeBeF$; No Greek; NO Greek; NO gr33k; NO GREEEK; NO C0.F; NO $wall*w; SUBSCRIPTION REQUIRED; No dr_gsProtected sex onlysafe; SAFEno bbfks; safe play; *safe play*; Safe play always; SAFE PLAY ONLY; SAFE SERVICES ONLY; SAFETY PLAY ONLY; EverySafe; No B4re services; NO B*RE SERVICES; SAFE, CLEAN, & COVERED services; COVERED services; with a condom; All services covered; NO FLUID EXCHANGEMature, oldermature; woman;MOMMY; MILFREAL WOMAN;UpscaleLUXURY; CLASSY;Upscale; UPSCALE; class;LUXURY SERVICE; UPSCALE LOCATION; Classy matureRealistic pricesdeposit in advance; Deposits are required; no low ballers; NO LOWBALLERS; NO LOWBALLERS OR DISCOUNTS; No low balling;1 hr – $400;1.5hr – $550;2hr – $750:400/hr outcall; $450 – 1hr; $450 per hour for outcalls; 500 hr;2/600; $600 – 1.5 hr; $800 – 2hr;$1100 – 3hr; 1800/6hrs; Overnights 2500; NO NEGOTIATIONS;Experienced, professionalExperience;professional;Starting with these criteria, the researchers designed a set of coding rules specifying things like the number of key trafficking words or phrases required to code an ad as trafficking (three), whether to count repeated words or phrases (no), and what to do with ads that mixed trafficking indicators and sex work indicators (exclude them). They also considered how to handle obvious copy/paste duplicate ads and other confusing situations, e.g. an escort described as young and petite but with stats given as 27-years old, 5′ 6″, and 136 pounds.In all, the qualitative research team manually coded—and cross-validated the scoring of—1,840 online sex ads, breaking them down in accordance with their likelihood of representing sex trafficking or sex trade work. The team derived extensive lists of (ever-evolving) key words and key phrases and made note of the presence (or absence) of specific emojis or symbols. All this information was made available to the web-crawling and machine-learning teams for the purposes of refining their searches and/or the development of the machine-reading/machine learning algorithms.It was this group of 1840 coded online sex ads, or subsets thereof, that were used to train the machine learning models (they used five different models).That brings me to an important point: The training set for the ML systems did not use a known set of sex trafficking ads, because no actual sex trafficking ads were available for training. Instead, the training set used was composed of ads that were judged to be sex trafficking ads based on criteria — key words and phrases — provided by UNODC, the RCMP, and Sexual Exploitation Education.It would be one thing if those words were culled by statistical methods from samples of actual ads for actual sex trafficking, but they aren’t. The paper goes into great detail about the use of key words and phrases, but at no point does it indicate that the word lists were derived through any kind of empirical research. The word lists appear to be entirely the guesswork of cops and anti-trafficking advocates, both of whom may see sex trafficking where none is occurring.That makes me reluctant to take these word lists seriously as signs of sex trafficking. For example, the word “new” appears in ads for all kinds of products and services, from desert topping to hair care. I think the key words and phrases are probably indicative of some aspects of the various forms of sex work represented by the ads, but I don’t see a case for declaring them to be a priori sex trafficking. As far as I can tell, the difference between the sex trafficking list and the sex work list is the amount of control that the escorts gave up or retained. The researchers are assuming trafficking victims have little control whereas free sex workers can exert more control.Of course, I’m hardly an expert on how sex workers advertise, so I asked Maggie McNeill — sex worker and sex work activist — to look at the lists and tell me what she saw:What I see in the examples you’ve provided are mainly due to agency vs independent (no single woman or operator, however coerced, is available “24/7”; that requires multiple shifts); to inexperience vs experienced escorts (inexperienced businesspeople of every type imagine promising the Moon and then bait & switching is a clever tactic to bring in business); and to level of desperation.Very poor, inexperienced sex workers who need money NOW will often advertise very low prices, services (including bareback) outside the norm, very broad hours, low screening requirements, etc, in hopes of outcompeting the many others in what is right now a bit of a glutted market (as often happens in a faltering economy). Some of them are counting on being able to raise the price (“Oh, that price was just to get me here; if you want to fuck it’ll be extra”) or otherwise change the odious conditions; some are cash-and-dash artists who have no intention on following through with their promises; some are cops trying to cast a wide net; and a few are truly desperate newbies trying to avoid eviction tomorrow.There are a couple of these which require specific comment: “New in town” generally just means touring, and has zero to do with coercion; it’s also a popular claim in cops’ bait ads, or for liars/those with bad reputations who have recently changed stage names and wish to capitalize on the male lust for “new meat”. And “young” was once the single most popular lie in sex work ads, because some men will always want “as young as possible”; it’s less popular now among experienced or well-mentored escorts because it attracts cops and “trafficking” fetishists…The bottom line is that when an ML model flagged an ad as “sex trafficking,” it was not because it was trained to recognize sex trafficking, but because it was trained to recognize ads that the researchers coded as “sex trafficking.” And since the researchers coded the ads based on word and phrase lists that were based on information from UNODC, the RCMP, and SEE, the best we can say is that they were training machine learning systems to recognize ads for escorts that people at UNODC, the RCMP, and SEE would think were sex trafficking ads. That doesn’t mean sex trafficking actually happened.I want to emphasize that the researchers were in no way hiding this. The background and methodology sections of the study go over the coding and training procedures in page after page of detailed explanation, describing their choices and explaining their rationales. There may be a few sentences here and there which could be confusing when taken out of context, but the paper as a whole is quite explicit about exactly what the researchers are doing.They also go into some detail explaining the difficulty in identifying sex trafficking, which leads to this cautionary note:However, it is important to heed the caution of Raets and Janssen (2021)[2]Raets, S., & Janssens, J. (2021). Trafficking and Technology: Exploring the Role of Digital Communication Technologies in the Belgian Human Trafficking Business. European Journal on Criminal Policy and Research, 27(2), 215–238. https://doi.org/10.1007/s10610-019-09429-z: “One critical issue…is the lack of ground truth in identifying human trafficking cases” (p. 227).Having skimmed the pre-print, I think I can see how it has been distorted by the time it reaches the pages of the Province article:Roughly 40 per cent of online ads offering escort and sex work services in B.C. included language indicating child sex traffickingThis is somewhat careful in saying that 40% of ads “included language” about sex trafficking, which is not the same as saying that 40% of ads are sex trafficking. On the other hand, Sharifi is dead wrong in this quote:“This is research-based proof and evidence that human trafficking is prevalent in our province, and that human trafficked victims are bought and sold in the same industry as sex workers,”As should be clear by now, the only thing proven by this research is that machine learning models can produce similar results to human analysts when trying to detect signs of human trafficking in online ads. This does not prove anything about actual human trafficking in online ads.I said at the beginning that the research was not really about sex trafficking, and I think it’s clear that there’s no actual sex trafficking data used to train the machine learning model. Rather, this research is about the ability of machine learning to perform certain tasks: The researchers started with humans using key words and phrases to identify human trafficking in online ads and then tried to get a machine to do the same thing. This was a machine learning research project that used sex trafficking ads as raw material.A few other items in the Province article are also illuminating:“Teens or older children are at greater risk for online recruitment, as they often have unfettered internet access with limited monitoring by parents or guardians,” wrote the report authors.That’s technically true — the authors did write that — but that wasn’t a conclusion of the research. It’s part of the Introduction, where the authors summarized a St. Augustine Record newspaper article.They also noted that children who are lured and groomed in B.C. “may well be trafficked in other parts of Canada or in other countries.”This was also part of the introduction, and it’s unsourced, probably because it’s an obvious general statement used to describe how research in British Columbia was relevant to other locations as well.In 2019, there were 511 reported incidents of human trafficking, according to the report. Of those, only a third resulted in charges and even then, 89 per cent of charges were stayed, withdrawn, discharged or dismissed. Among reported cases of human trafficking, 95 per cent of the victims were women.Again, none of this was part of the research. It was all just background sourced from three different papers published by other people.At its most basic, this research was an attempt to get a machine learning algorithm to do a task that that humans had been doing — trying to use key words and phrases in online escort ads to detect sex trafficking, especially child sex trafficking. And judging by the results, it pretty much worked, at least well enough for the researchers to announce their intent to integrate these algorithms into their web crawler to create an A.I. system to detect sex trafficking content.I have mixed feelings about that. Given the rarity of actual sex trafficking in escort work and the harm that is done to consensual sex workers through misdirected or pretextual law enforcement, I question the wisdom of providing police with better surveillance tools. If the researchers had trained the models against the ground truth of actual online sex trafficking incidents, I would say a tool like this helps legitimate sex workers by directing police attention away from them and onto serious criminals. But since the models are based on the unsupported linguistic notions of cops and anti-trafficking activists, I fear they will be misunderstood and misused to justify harassment of sex workers.In any case, it’s important to be accurate and address research like this for what it actually is.RelatedFootnotesFootnotes↑1Barry Cartwright, Richard Frank, Tiana Sharifi, Mandeep Pannu. Deploying artificial intelligence to detect and respond to the use of digital technology by perpetrators of human trafficking. International CyberCrime Research Centre, Simon Fraser University, British Columbia, pre-print April 2022.↑2Raets, S., & Janssens, J. (2021). Trafficking and Technology: Exploring the Role of Digital Communication Technologies in the Belgian Human Trafficking Business. European Journal on Criminal Policy and Research, 27(2), 215–238. https://doi.org/10.1007/s10610-019-09429-zShare This PostFiled Under: Sex WorkReader InteractionsLeave a Reply Cancel reply
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| No Ground Truth: Sex Trafficking and Machine Learning | No Ground Truth: Sex Trafficking Machine Learning Windypundit Skip main content Skip primary sidebarAbout Authors About Mark Draughn About Ken Gibson About Gary Olson About Joel Rosenberg Disclosures WindypunditClassical liberalism, criminal laws, war drugs, economics, free speech, technology, photography, sex work, cats, comes mind.No Ground Truth: Sex Trafficking Machine LearningJuly 27, 2022 By Mark Draughn Leave CommentA tweet week Carol Fenton led article Vancouver Province Nathan Griffiths begins seemingly shocking statistic:Roughly 40 cent online ads offering escort sex work services B.C. included language indicating child sex trafficking, according new preprint study SFU.The article includes blurb head Canadian antisextrafficking organization:This researchbased proof evidence human trafficking prevalent province, human trafficked victims bought sold industry sex workers, Tiana Sharifi, CEO Sexual Exploitation Education, said statement.Note difference: The quote speaks sex ads included language indicating child sex trafficking second quote directly says human trafficking prevalent. In ways, post difference.If youve following Elizabeth Nolan Browns coverage sex trafficking Reason magazine Twitter account, youre probably familiar ongoing moral panic sextrafficking. From bogus claims 300,000 children risk police sextrafficking stings arrest hundreds result sex trafficking charges, theres long history law enforcement agencies antisextrafficking NGOs exaggerating problem.So I suspicious Province article. I suspected studys descriptions complicated subjects nuanced sensational traveled source. By time parts paper researchers reporters, commentators, people axe grind, lot important context lost.Ive obtained copy preprint research paper [1]Barry Cartwright, Richard Frank, Tiana Sharifi, Mandeep Pannu. Deploying artificial intelligence detect respond use digital technology perpetrators human trafficking. International CyberCrime Research Centre, Simon Fraser University, British Columbia, preprint April 2022., happened here. The paper, titled Deploying artificial intelligence detect respond use digital technology perpetrators human trafficking, produced researchers International CyberCrime Research Centre Simon Fraser University British Columbia, Canada. And far I tell limited expertise, appears perfectly reasonable piece research.What not, however, study sex trafficking. Not really.Before explaining I mean that, lets look research. The Province article gives pretty accurate summary:The research, kind B.C., machine learning custom web crawlers collect analyze data set online ads escort sex work services. It coauthored SFUs International Cyber Crime Research Centre Sexual Exploitation Education, Vancouverbased agency working prevent human trafficking sexual exploitation.[]The research involved training machine learning model highly elaborate list key words phrases, including emojis, according Sharifi. Ads collected popular websites Canada offering escort sex work services.You dont develop machine learning ML solutions way solve problem ordinary software: You dont provide detailed stepbystep process reaching solution. Instead, use collection input samples matched desired outputs train ML model. During process, ML algorithm tries extract information inputs allow produce correct outputs. This learning machine learning. different type ML algorithms perform process different ways, different costs, produce different forms solutions.For example, suppose want analyze traffic patterns tunnel, predict pavement wear, determining trucks passing through. Youve installed cameras motion detectors capture images vehicle, capturing images cars, need separate trucks cars prepare reports. You decide try machine learning.To train model, youll bunch pictures vehicles tell images contain cars images contain trucks. In case, good training set sample actual images tunnel team people look classify car truck.Lets determine vehicle type 10,000 images. You feed images corresponding vehicle types machine learning algorithm training mode let thing. Unfortunately, trained ML systems tend somewhat mysterious build knowledge ways inherently difficult understand, knowledge encoded, way tell training worked try model new data does.That means human team trained ML model classify another, say, 1000 images compare results. The closer model comes matching human results, better performing. If 95 accurate picking trucks, thats close purposes, machine learning project success.The researchers human trafficking study wanted kind thing, online sex ads, instead finding pictures trucks, wanted ads trafficking victims.This got attention. Just need pictures trucks train ML recognize trucks, need sex trafficking ads train ML recognize sex trafficking ads. I suppose possible theory: They searched police human trafficking case files instances victims subject online sex ads ads training testing ML model ads tied actual sex trafficking.The problem, mentioned beginning post, actual sex trafficking cases extremely rare rare build large corpus online ads train ML classifier. So researchers ads? How know ads human trafficking victims? The short answer didnt. Instead, manual classification deem ads possibly related sex trafficking, trained ML models ads.The researchers started list trafficking indicators Global Report Trafficking Persons published United Nations Office Drugs Crime UNODC 2020. With basic framework, set identifying words search for:For present study, search terms consisting key words key phrases identified law enforcement agencies community outreach organizations specifically seek educate about, prevent interdict sex trafficking, winnowed key words key phrases confirm careful manual inspection applied exclusively exclusively marketing services sex trafficking victims, sake precision, decided qualitative inspection key words key phrases present order flag online advertisement involving sex trafficking.The researchers obtained lists target words phrases Royal Canadian Mounted Police Sexual Exploitation Education, Vancouverbased antitrafficking agency. Combining sources, eventually came framework identifying possible sex trafficking ads based key words phrases. Heres example paper: Caution, dirty wordsIndicatorKey WordsKey PhrasesSweet, compliant, obedientSweet; sweet; sweetest; polite; personality; cheerfulSweet polite; sweet polite; super sweet; Great Personality; cheerful mood; nice friendlyAvailability247; 24hrs; anytimeAlways available; available; available right now; day; time; Day night; day night; available day night; Ready Now; ready; READY ANY TIME; ready available; available right now; Available 24hrs; 24 hours; 7 days week; 7days weekFlexibilityCARDATE; CAR; CARPLAYINCALL AND OUTCALL AND CARDATE; CAR DATE; CarDate; Car Dates; CAR DATES; CARPLAY; incall outcall; Outcall; INCALL AND OUTCALL: where;No restrictionsOpenmindedOpen Minded; openminded; open minded; want; Low restriction; No Restriction; NO RESTRICTION; NO restrictions; limit; No limit; NO LIMIT; limits; service; unlimited fun; MINIMUM RESTRICTIONS; ALL STYLE; ALL STYLE ARE WELCOME; What like; style; play; wish; want; desire; TRY EVERYTHING; ALL YOUR NEED; want; needsUnprotected sexBareback; raw; BAREBACK; Bbj; BBBJ; BBBj; BBBJ; BBBJ; b88j; bxxJ; BBJ; BBB ; BB Be J; BEBEFSbBlowj,ob; BARE BACK; With Out Condom; condom; condoms; condom; NO CONDOM; No Condom; raw; No Cover; cover; New town, short visittown; new; NEW; plane; arrived; arrival; ARRIVE; ARRIVED; ARRIVALCatch can; days; new town; COMING WEEKLY; NEW IN TOWN; NEW town; new town; NEW ARRIVED; NEW ARRIVAL; New Arrival; New arrival; new arrived; Newly Arrived; arrived; short visit; ShortTerm; Short Term Only; plane; limited timeYoung girl; new girl, fresh juicyBaby; baby; BABY; fresh; Girl; GIRL; GURL; Newly; New; new; NEW; YOUNG; yOunG; Youth; tight; Juicy; daddy; Daddy; Pettit; Petite; PETITE; Cherry; student; Student; students; college;Rope bunny; babygirl; YOUNG GIRL; super tight; Tight Juicy; Sweet Juicy; Sweet Juicy; New girl; New girls; Brand new; SUPER TIGHT; SUPER TIGHT FIT; 100 PRETTY; PRETTY GIRL; Pretty Girl; 100 YOUNG; YOUNG girl; young girls; SEXY YOUNG GIRL; REAL YOUNG; First Time; PetiteCute; SEXY YOUNG GIRL; daddy; NeW YouNG Girl; FIRST TIME; 1st time; first; First Day; day; customer; PetiteCute; cutegirl; student girl; school girl; shaved sweet; sweet, young; SHOWERED SHAVEN; 19yes; 19yo; 19 Year old; 19 yrs; 19year old; 19yrs old; 20yo; 20yo; 20 yrs old; 20yrs; 20 years old; 20 year old; 20yrs old.; 1922; 21 yrs; 21 old yrs; 21 years; 22yo: 22 yrs old; 22 yrs.; 22 year old; 22 years old; 22yrs; 22yrs oldLow pricesCHEAPNO DEPOSIT; price low; PAYMENT ON ARRIVAL;100 dollars hour; 100 1 hour; FOR CHEAP; cheap rate; CHEAPRATE; cheap rate; low rateMultiple girlsgirls;COME AND PICK; Our sellingpoints; different girls; Different new girls;MaleOperatormale operatorTo credit, researchers wanted distinguish sex trafficking adult consensual sex work. To end, created list key words phrases implied consensual work:IndicatorKey WordsKey PhrasesAvailabilityAvailable 28pm; Available till Midnight; pre booking; Prebooking; available daytime evenings; limited availability; appointment; 2 hour notice; 9am 5pmFlexibilityUber; etransfer; depositno car dates; No Car Dates; etransfer deposit; email money transferRestrictionssubscribers;rs;SUBSCRIPTION;GENTLEMENS ONLY; mature respectful gentlemen; NO DEGREDATION; OVER 30 ONLY; respectful clients only; NO AN..AL; door; NO BEBEFS; NO BBBF; RESTRICTIONS: NO C1M; NO BB8S; NO BeBeF; No Greek; NO Greek; NO gr33k; NO GREEEK; NO C0.F; NO wallw; SUBSCRIPTION REQUIRED; No dr_gsProtected sex onlysafe; SAFEno bbfks; safe play; safe play; Safe play always; SAFE PLAY ONLY; SAFE SERVICES ONLY; SAFETY PLAY ONLY; EverySafe; No B4re services; NO BRE SERVICES; SAFE, CLEAN, COVERED services; COVERED services; condom; All services covered; NO FLUID EXCHANGEMature, oldermature; woman;MOMMY; MILFREAL WOMAN;UpscaleLUXURY; CLASSY;Upscale; UPSCALE; class;LUXURY SERVICE; UPSCALE LOCATION; Classy matureRealistic pricesdeposit advance; Deposits required; low ballers; NO LOWBALLERS; NO LOWBALLERS OR DISCOUNTS; No low balling;1 hr 400;1.5hr 550;2hr 750:400hr outcall; 450 1hr; 450 hour outcalls; 500 hr;2600; 600 1.5 hr; 800 2hr;1100 3hr; 18006hrs; Overnights 2500; NO NEGOTIATIONS;Experienced, professionalExperience;professional;Starting criteria, researchers designed set coding rules specifying things like number key trafficking words phrases required code ad trafficking three, count repeated words phrases no, ads mixed trafficking indicators sex work indicators exclude them. They considered handle obvious copypaste duplicate ads confusing situations, e.g. escort described young petite stats given 27years old, 5 6, 136 pounds.In all, qualitative research team manually codedand crossvalidated scoring of1,840 online sex ads, breaking accordance likelihood representing sex trafficking sex trade work. The team derived extensive lists everevolving key words key phrases note presence absence specific emojis symbols. All information available webcrawling machinelearning teams purposes refining searches andor development machinereadingmachine learning algorithms.It group 1840 coded online sex ads, subsets thereof, train machine learning models different models.That brings important point: The training set ML systems use known set sex trafficking ads, actual sex trafficking ads available training. Instead, training set composed ads judged sex trafficking ads based criteria key words phrases provided UNODC, RCMP, Sexual Exploitation Education.It thing words culled statistical methods samples actual ads actual sex trafficking, arent. The paper goes great use key words phrases, point indicate word lists derived kind empirical research. The word lists appear entirely guesswork cops antitrafficking advocates, sex trafficking occurring.That makes reluctant word lists seriously signs sex trafficking. For example, word new appears ads kinds products services, desert topping hair care. I think key words phrases probably indicative aspects forms sex work represented ads, I dont case declaring priori sex trafficking. As far I tell, difference sex trafficking list sex work list control escorts gave retained. The researchers assuming trafficking victims little control free sex workers exert control.Of course, Im hardly expert sex workers advertise, I asked Maggie McNeill sex worker sex work activist look lists tell saw:What I examples youve provided mainly agency vs independent single woman operator, coerced, available 247; requires multiple shifts; inexperience vs experienced escorts inexperienced businesspeople type imagine promising Moon bait switching clever tactic bring business; level desperation.Very poor, inexperienced sex workers need money NOW advertise low prices, services including bareback outside norm, broad hours, low screening requirements, etc, hopes outcompeting right bit glutted market happens faltering economy. Some counting able raise price Oh, price here; want fuck itll extra change odious conditions; cashanddash artists intention following promises; cops trying cast wide net; truly desperate newbies trying avoid eviction tomorrow.There couple require specific comment: New town generally means touring, zero coercion; popular claim cops bait ads, liarsthose bad reputations recently changed stage names wish capitalize male lust new meat. And young single popular lie sex work ads, men want young possible; popular experienced wellmentored escorts attracts cops trafficking fetishistsThe line ML model flagged ad sex trafficking, trained recognize sex trafficking, trained recognize ads researchers coded sex trafficking. And researchers coded ads based word phrase lists based information UNODC, RCMP, SEE, best training machine learning systems recognize ads escorts people UNODC, RCMP, SEE think sex trafficking ads. That doesnt mean sex trafficking actually happened.I want emphasize researchers way hiding this. The background methodology sections study coding training procedures detailed explanation, describing choices explaining rationales. There sentences confusing taken context, paper explicit exactly researchers doing.They explaining difficulty identifying sex trafficking, leads cautionary note:However, important heed caution Raets Janssen 2021[2]Raets, S., Janssens, J. 2021. Trafficking Technology: Exploring Role Digital Communication Technologies Belgian Human Trafficking Business. European Journal Criminal Policy Research, 272, 215238. One critical issueis lack ground truth identifying human trafficking cases p. 227.Having skimmed preprint, I think I distorted time reaches Province article:Roughly 40 cent online ads offering escort sex work services B.C. included language indicating child sex traffickingThis somewhat careful saying 40 ads included language sex trafficking, saying 40 ads sex trafficking. On hand, Sharifi dead wrong quote:This researchbased proof evidence human trafficking prevalent province, human trafficked victims bought sold industry sex workers,As clear now, thing proven research machine learning models produce similar results human analysts trying detect signs human trafficking online ads. This prove actual human trafficking online ads.I said beginning research sex trafficking, I think clear theres actual sex trafficking data train machine learning model. Rather, research ability machine learning perform certain tasks: The researchers started humans key words phrases identify human trafficking online ads tried machine thing. This machine learning research project sex trafficking ads raw material.A items Province article illuminating:Teens older children greater risk online recruitment, unfettered internet access limited monitoring parents guardians, wrote report authors.Thats technically true authors write wasnt conclusion research. Its Introduction, authors summarized St. Augustine Record newspaper article.They noted children lured groomed B.C. trafficked parts Canada countries.This introduction, unsourced, probably obvious general statement research British Columbia relevant locations well.In 2019, 511 reported incidents human trafficking, according report. Of those, resulted charges then, 89 cent charges stayed, withdrawn, discharged dismissed. Among reported cases human trafficking, 95 cent victims women.Again, research. It background sourced different papers published people.At basic, research attempt machine learning algorithm task humans trying use key words phrases online escort ads detect sex trafficking, especially child sex trafficking. And judging results, pretty worked, researchers announce intent integrate algorithms web crawler create A.I. detect sex trafficking content.I mixed feelings that. Given rarity actual sex trafficking escort work harm consensual sex workers misdirected pretextual law enforcement, I question wisdom providing police better surveillance tools. If researchers trained models ground truth actual online sex trafficking incidents, I tool like helps legitimate sex workers directing police attention away criminals. But models based unsupported linguistic notions cops antitrafficking activists, I fear misunderstood misused justify harassment sex workers.In case, important accurate address research like actually is.RelatedFootnotesFootnotes1Barry Cartwright, Richard Frank, Tiana Sharifi, Mandeep Pannu. Deploying artificial intelligence detect respond use digital technology perpetrators human trafficking. International CyberCrime Research Centre, Simon Fraser University, British Columbia, preprint April 2022.2Raets, S., Janssens, J. 2021. Trafficking Technology: Exploring Role Digital Communication Technologies Belgian Human Trafficking Business. European Journal Criminal Policy Research, 272, 215238. This PostFiled Under: Sex WorkReader InteractionsLeave Reply Cancel reply Primary Sidebar site ...Chicago Metro Area Covid StatusRecent Posts No Ground Truth: Sex Trafficking Machine Learning Michael Moore Tries Rescue Us From Guns A Libertarian Watches Narcos COVID19 Not Endemic Fight Not Over Covid Stats Dump 20220129 Ghostbusters: Afterlife Review Ken Gibson, Rest In Peace reprise N95 Bust Twitter Facebook Bloggy Goodness Agitator DrugWar Rant Duly Noted Dynamist Hit Run Honest Courtesan Nobodys Business Popehat Ravings Feral GeniusBlawgs Public Defender appellatesquawk Blonde Justice Chasing Truth. Catching Hell. Crime Federalism Crime Consequences Blog Criminal Defense CrimLaw D.A. 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https://wtmj.com/national/2022/04/01/face-scanner-clearview-ai-aims-to-branch-out-beyond-police-3/ | 2022-04-02T00:00:00 | en | Face scanner Clearview AI aims to branch out beyond police - WTMJ |
Face scanner Clearview AI aims to branch out beyond police - WTMJ
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Face scanner Clearview AI aims to branch out beyond police
by
AP News
April 1, 2022
in
AP National, AP News, National
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By MATT O’BRIEN and TALI ARBEL
AP Technology Writers
NEW YORK (AP) — A controversial face recognition company that’s built a massive photographic dossier of the world’s people for use by police, national governments and — most recently — the Ukrainian military is now planning to offer its technology to banks and other private businesses.
Clearview AI co-founder and CEO Hoan Ton-That disclosed the plans Friday to The Associated Press in order to clarify a recent federal court filing that suggested the company was up for sale.
“We don’t have any plans to sell the company,” he said. Instead, he said the New York startup is looking to launch a new business venture to compete with the likes of Amazon and Microsoft in verifying people’s identity using facial recognition.
The new “consent-based” product would use Clearview’s algorithms to verify a person’s face, but would not involve its ever-growing trove of some 20 billion images, which Ton-That said is reserved for law enforcement use. Such ID checks that can be used to validate bank transactions or for other commercial purposes are the “least controversial use case” of facial recognition, he said.
That’s in contrast to the business practice for which Clearview is best known: collecting a huge trove of images posted on Facebook, YouTube and just about anywhere else on the publicly-accessible internet.
Regulators from Australia to Canada, France and Italy have taken measures to try to stop Clearview from pulling people’s faces into its facial recognition engine without their consent. So have tech giants such as Google and Facebook. A group of U.S. lawmakers earlier this year warned that “Clearview AI’s technology could eliminate public anonymity in the United States.”
Despite opposition from lawmakers, regulators, privacy advocates and the websites it scrapes for data, Clearview has continued to rack up new contracts with police departments and other government agencies. In the meantime, its growing database has helped Clearview’s artificial intelligence technology learn and grow more accurate.
One of its biggest known federal contracts is with U.S. Immigration and Customs Enforcement — particularly its investigative arm, which has used the technology to track down both the victims and perpetrators of child sexual exploitation. Clearview in March also started offering its services for free to the Ukrainian military, in part to help identify dead Russian soldiers using Clearview’s repository of about 2 billion images scraped from Russian social media website VKontakte.
“They’ve been able to identify dead bodies, even with facial damage,” Ton-That said Friday.
The official minutes from a March 17 hearing in a Chicago federal court said that Clearview AI was “considering selling the app platform to other entities,” citing one of the lawyers who’s been defending the company in a case involving alleged violation of an Illinois digital privacy law.
The minutes also said the “sale of Clearview’s app” would be discussed further once the company discloses more details to the plaintiffs. Illinois’ Biometric Information Privacy Act allows consumers to sue companies that don’t get permission before harvesting data such as faces and fingerprints.
Ton-That said the minutes incorrectly relayed what the company was trying to tell the judge about potentially expanding its business beyond law enforcement uses.
“We let the court know we’re exploring this idea,” he said Friday, noting the company’s previous assertions that it was only selling its services to law enforcement.
Asked about future commercial applications during an interview with the AP in late February, Ton-That emphasized his company’s ongoing focus on police work.
“We’re really focused on law enforcement right now,” he said, describing how the company’s mission had evolved from commercial applications into helping to solve crime.
“We looked at all different kinds of use cases: building security, ID checks, even hotels, hospitality,” he said. “But when we gave this to law enforcement, we saw such amazing success right away where they could ID so many victims of crime or perpetrators of it that it was a kind of a no-brainer at that point to really focus on that kind of use case.”
He added at the time that if the company shifted to other uses, it would let the public and courts know about it. He downplayed what he described as the “lofty goals” that Clearview pitched to prospective investors in a document the Washington Post reported on in February.
The Post said the company’s financial presentation from December proposed a variety of potential commercial uses of Clearview technology, including to monitor “gig economy” workers or provide companies with “real-time alerts” if certain people are detected, and boasted of a face-image database that’s growing so large that “almost everyone in the world will be identifiable.”
A lawyer representing activists suing Clearview on privacy grounds in California said Friday her clients are most concerned about the government’s use of the technology to track protesters and immigrants, but any usage based on Clearview’s “unauthorized capture and sale” of faceprints could violate privacy rights.
“The future potential uses for Clearview appear to be a moving target,” said Sejal Zota, legal director of Just Futures Law. “And the scale is terrifying.”
———
O’Brien reported from Providence, Rhode Island.
Copyright 2022 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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Clearview AI cofounder CEO Hoan TonThat disclosed plans Friday The Associated Press order clarify recent federal court filing suggested company sale. We dont plans sell company, said. Instead, said New York startup looking launch new business venture compete likes Amazon Microsoft verifying peoples identity facial recognition. The new consentbased product use Clearviews algorithms verify persons face, involve evergrowing trove 20 billion images, TonThat said reserved law enforcement use. Such ID checks validate bank transactions commercial purposes controversial use case facial recognition, said. Thats contrast business practice Clearview best known: collecting huge trove images posted Facebook, YouTube publiclyaccessible internet. Regulators Australia Canada, France Italy taken measures try stop Clearview pulling peoples faces facial recognition engine consent. So tech giants Google Facebook. A group U.S. lawmakers earlier year warned Clearview AIs technology eliminate public anonymity United States. Despite opposition lawmakers, regulators, privacy advocates websites scrapes data, Clearview continued rack new contracts police departments government agencies. In meantime, growing database helped Clearviews artificial intelligence technology learn grow accurate. One biggest known federal contracts U.S. Immigration Customs Enforcement particularly investigative arm, technology track victims perpetrators child sexual exploitation. Clearview March started offering services free Ukrainian military, help identify dead Russian soldiers Clearviews repository 2 billion images scraped Russian social media website VKontakte. Theyve able identify dead bodies, facial damage, TonThat said Friday. The official minutes March 17 hearing Chicago federal court said Clearview AI considering selling app platform entities, citing lawyers whos defending company case involving alleged violation Illinois digital privacy law. The minutes said sale Clearviews app discussed company discloses details plaintiffs. Illinois Biometric Information Privacy Act allows consumers sue companies dont permission harvesting data faces fingerprints. TonThat said minutes incorrectly relayed company trying tell judge potentially expanding business law enforcement uses. We let court know exploring idea, said Friday, noting companys previous assertions selling services law enforcement. Asked future commercial applications interview AP late February, TonThat emphasized companys ongoing focus police work. Were focused law enforcement right now, said, describing companys mission evolved commercial applications helping solve crime. We looked different kinds use cases: building security, ID checks, hotels, hospitality, said. But gave law enforcement, saw amazing success right away ID victims crime perpetrators kind nobrainer point focus kind use case. He added time company shifted uses, let public courts know it. He downplayed described lofty goals Clearview pitched prospective investors document Washington Post reported February. The Post said companys financial presentation December proposed variety potential commercial uses Clearview technology, including monitor gig economy workers provide companies realtime alerts certain people detected, boasted faceimage database thats growing large world identifiable. A lawyer representing activists suing Clearview privacy grounds California said Friday clients concerned governments use technology track protesters immigrants, usage based Clearviews unauthorized capture sale faceprints violate privacy rights. The future potential uses Clearview appear moving target, said Sejal Zota, legal director Just Futures Law. And scale terrifying. OBrien reported Providence, Rhode Island. 2022 The Associated Press. . This material published, broadcast, rewritten redistributed permission. Previous Post Vulnerable Democrats warn Biden reopening asylum Next Post Face scanner Clearview AI aims branch police AP News Stay Connected 22.3k Followers 1k Follower 590 rs Most Popular Southwest Airlines flight returns Milwaukee emergency landing minutes takeoff March 29, 2022 Racine family loses battle toxic mold March 31, 2022 Bicyclist killed Milwaukee hitandrun identified March 27, 2022 Wallets, IDs survivors China Eastern crash March 22, 2022 Governor Evers signs Kai 11 Bill law March 29, 2022 For 90 years, WTMJAM Wisconsins Radio Station. 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] | 1 | 1,196 |
https://www.01net.it/c3-ai-to-announce-financial-results-for-the-first-quarter-fiscal-year-2024-on-september-6-2023/ | 2023-08-11T00:00:00 | en | C3 AI to Announce Financial Results for the First Quarter Fiscal Year 2024 on September 6, 2023 |
C3 AI to Announce Financial Results for the First Quarter Fiscal Year 2024 on September 6, 2023
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Home Business Wire C3 AI to Announce Financial Results for the First Quarter Fiscal Year...
Business Wire
C3 AI to Announce Financial Results for the First Quarter Fiscal Year 2024 on September 6, 2023
di Business Wire
11 Agosto 2023
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REDWOOD CITY, Calif.–(BUSINESS WIRE)–C3.ai, Inc. (“C3 AI,” “C3,” or the “Company”) (NYSE: AI), the Enterprise AI application software company, today announced it will issue its financial results for the fiscal first quarter, which ended July 31, 2023, following the close of the U.S. markets on Wednesday, September 6, 2023.
C3 AI will host a conference call and webcast to discuss the financial results. The conference call will begin at 2:00 p.m. PDT / 5:00 p.m. EDT on September 6, 2023. Analysts and investors may participate in the question-and-answer session.
Conference Call Details
Date: Wednesday, September 6, 2023
Time: 2:00 p.m. Pacific Daylight Time
To access the conference call via a dial-in number and personalized PIN code, participants should register here: telephone registration.
To listen to the conference call via webcast, participants should register here: webcast registration.
Access to the conference call is also available on the C3 AI Investor Relations website events page. The audio replay will be available approximately two hours after its completion and will be accessible for 30 days on the C3 AI Investor Relations website.
About C3.ai, Inc.
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of large AI transformer models for the enterprise.
Contacts
C3 AI Public RelationsCheryl Sanclemente
415-988-4960
[email protected]
Investor [email protected]
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| C3 AI to Announce Financial Results for the First Quarter Fiscal Year 2024 on September 6, 2023 | C3 AI Announce Financial Results First Quarter Fiscal Year 2024 September 6, 2023 Apple Cloud IoT Intelligenza artificiale Le Voci dellAI Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar Aziende Aws Cisco Dell Hpe Google Ibm Meta Microsoft Oracle Salesforce Sap Vmware Contatti Iscriviti alla newsletter White paper Mappa dei integrator Cerca Contatti Iscriviti alla newsletter White paper Mappa dei integrator 01net Apple Cloud IoT Intelligenza artificiale Le Voci dellAI Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar Aziende Aws Cisco Dell Hpe Google Ibm Meta Microsoft Oracle Salesforce Sap Vmware Home Business Wire C3 AI Announce Financial Results First Quarter Fiscal Year... Business Wire C3 AI Announce Financial Results First Quarter Fiscal Year 2024 September 6, 2023 di Business Wire 11 Agosto 2023 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print REDWOOD CITY, Calif.BUSINESS WIREC3.ai, . C3 AI, C3, Company NYSE: AI, Enterprise AI application software company, today announced issue financial results fiscal quarter, ended July 31, 2023, following close U.S. markets Wednesday, September 6, 2023. C3 AI host conference webcast discuss financial results. The conference begin 2:00 p.m. PDT 5:00 p.m. EDT September 6, 2023. Analysts investors participate questionandanswer session. Conference Call Details Date: Wednesday, September 6, 2023 Time: 2:00 p.m. Pacific Daylight Time To access conference dialin number personalized PIN code, participants register here: telephone registration. To listen conference webcast, participants register here: webcast registration. Access conference available C3 AI Investor Relations website events . The audio replay available approximately hours completion accessible 30 days C3 AI Investor Relations website. About C3.ai, . C3 AI Enterprise AI application software company. C3 AI delivers family fully integrated products including C3 AI Platform, endtoend platform developing, deploying, operating enterprise AI applications, C3 AI applications, portfolio industryspecific SaaS enterprise AI applications enable digital transformation organizations globally, C3 Generative AI, suite large AI transformer models enterprise. C3 AI Public RelationsCheryl Sanclemente 4159884960 pr Investor Relationsir Articoli correlati Heliogen, . Participate Fireside Chat SHARE Series Event Business Wire Business Wire 11 Agosto 2023 PASADENA, Calif.BUSINESS WIREHLGNHeliogen, . Heliogen NYSE: HLGN, leading provider AIenabled concentrating solar energy, pleased announce... Continua leggere NBCUniversal EverPass Media Announce MultiYear Licensing Agreement Bring Exclusive Sports Content Peacock Commercial Businesses Business Wire Business Wire 11 Agosto 2023 Agreement adds annual sporting events EverPass content offerings brings select exclusive sports content Peacock commercial... Continua leggere The Standards Retirement Plan Business Introduces New Products Services Its Recordkeeping Platform Business Wire Business Wire 11 Agosto 2023 PORTLAND, Ore.BUSINESS WIREThe Standard introduced seven new products services retirement plan recordkeeping business, including Pooled... Continua leggere Se questo articolo ti piaciuto e vuoi rimanere sempre informato sulle novit tecnologiche Iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie New Business Media Srl Via Eritrea 21, 20157 Milano Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, n 13602 del 15122020. Iscriviti alla NEWSLETTER newsletter Iscriviti | 2,023 | [
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https://www.1011now.com/prnewswire/2022/11/04/magellan-ai-verified-third-party-attribution-partner-by-spreaker-iheart/ | 2022-11-04T00:00:00 | en | Magellan AI Verified as a Third-Party Attribution Partner by Spreaker from iHeart | Magellan AI Verified as a Third-Party Attribution Partner by Spreaker from iHeart
Skip to contentNewsWeatherSportsVoter's GuidePure NebraskaContact UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresAnti-Bullying PledgePure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesMagellan AI Verified as a Third-Party Attribution Partner by Spreaker from iHeartPublished: Nov. 4, 2022 at 8:00 AM CDT|Updated: 39 minutes agoNEW YORK, Nov. 4, 2022 /PRNewswire/ -- Magellan AI, the podcast advertising analytics and attribution platform with the world's largest database of podcast advertising data, announced today that they have been validated as a third party partner by Spreaker from iHeart, the leading podcast platform for monetization, globally. This integration will allow all advertising campaigns run on the Spreaker network to use Attribution by Magellan AI, which delivers accurate and in-depth campaign results and attribution analytics."We are dedicated to enabling the podcasters on Spreaker to have access to industry-leading data and analytics," said Mattia Verzella, Head of Partnerships and Enterprise Sales at Spreaker. "We are happy to support Magellan AI as they continue to grow the podcast space through valuable third-party attribution and metrics.""We are excited to empower Spreaker users to utilize Attribution by Magellan AI to gain access to in-depth information about advertising campaigns" said Jim Ballas, Head of Publisher Partnerships at Magellan AI. "By connecting attribution data with the robust data that we already aggregate, advertisers and brands will be able to gain even greater insights into the power of podcast ads."Attribution by Magellan AI enables advertisers to access third party delivered impression verification and full-funnel attribution data, from views through conversions and transactions, allowing advertisers to optimize and increase ROI on their podcast campaigns.Attribution by Magellan AI is currently in beta, with plans to make it widely available in Q1 2023. Publishers and podcasters can currently onboard at no cost. Sign up for the beta program today by visiting https://www.magellan.ai/attribution.About Magellan AIMagellan AI is the source for market intelligence on podcast advertising. Magellan AI has created the world's largest database of podcast advertising data – covering activity from over 53,000 brands and 38,000 shows in the US, Canada, Australia, the UK, and Germany. Media buyers at advertisers and agencies spending over $500mm annually in aggregate rely on Magellan AI's podcast media planning platform to find, vet and connect with podcasts. Publishers trust Magellan AI to drive content acquisition, grow ad sales, and make ad ops efficient. Learn more by visiting https://www.magellan.aiAbout Spreaker from iHeartSpreaker is the global leader in podcast monetization and advertising technology, leading the way in technological innovation in the podcasting industry since 2009. Spreaker is more than just a multi-faceted podcast platform enabling over 100,000 creators to manage, grow and monetize their podcasts. Spreaker's podcast platform makes it simple to start, but powerful to scale for both independent content creators and established publishers. Our trusted team is dedicated to providing creators with the tools and support they need from day one to elevate their podcasting success. Learn more by visiting https://www.spreaker.com/.Media Contact: [email protected] original content:https://www.prnewswire.com/news-releases/magellan-ai-verified-as-a-third-party-attribution-partner-by-spreaker-from-iheart-301666819.htmlSOURCE Magellan AIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc. | Magellan AI Verified as a Third-Party Attribution Partner by Spreaker from iHeart | Magellan AI Verified ThirdParty Attribution Partner Spreaker iHeart Skip contentNewsWeatherSportsVoters GuidePure Nebraska UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresAntiBullying PledgePure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesMagellan AI Verified ThirdParty Attribution Partner Spreaker iHeartPublished: Nov. 4, 2022 8:00 AM CDTUpdated: 39 minutes agoNEW YORK, Nov. 4, 2022 PRNewswire Magellan AI, podcast advertising analytics attribution platform worlds largest database podcast advertising data, announced today validated party partner Spreaker iHeart, leading podcast platform monetization, globally. This integration allow advertising campaigns run Spreaker network use Attribution Magellan AI, delivers accurate indepth campaign results attribution analytics.We dedicated enabling podcasters Spreaker access industryleading data analytics, said Mattia Verzella, Head Partnerships Enterprise Sales Spreaker. We happy support Magellan AI continue grow podcast space valuable thirdparty attribution metrics.We excited empower Spreaker users utilize Attribution Magellan AI gain access indepth information advertising campaigns said Jim Ballas, Head Publisher Partnerships Magellan AI. By connecting attribution data robust data aggregate, advertisers brands able gain greater insights power podcast ads.Attribution Magellan AI enables advertisers access party delivered impression verification fullfunnel attribution data, views conversions transactions, allowing advertisers optimize increase ROI podcast campaigns.Attribution Magellan AI currently beta, plans widely available Q1 2023. Publishers podcasters currently onboard cost. Sign beta program today visiting Magellan AIMagellan AI source market intelligence podcast advertising. Magellan AI created worlds largest database podcast advertising data covering activity 53,000 brands 38,000 shows US, Canada, Australia, UK, Germany. Media buyers advertisers agencies spending 500mm annually aggregate rely Magellan AIs podcast media planning platform find, vet connect podcasts. Publishers trust Magellan AI drive content acquisition, grow ad sales, ad ops efficient. Learn visiting Spreaker iHeartSpreaker global leader podcast monetization advertising technology, leading way technological innovation podcasting industry 2009. Spreaker multifaceted podcast platform enabling 100,000 creators manage, grow monetize podcasts. Spreakers podcast platform makes simple start, powerful scale independent content creators established publishers. Our trusted team dedicated providing creators tools support need day elevate podcasting success. Learn visiting : attribution original content: Magellan AIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022022 Gray Television, . | 2,022 | [
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https://www.1011now.com/prnewswire/2023/03/07/fyusion-cracks-code-making-machine-learning-work-any-mobile-deviceand-they-just-shared-that-code-with-world/ | 2023-03-07T00:00:00 | en | Fyusion Cracks the Code on Making Machine Learning Work on Any Mobile Device…and They Just Shared that Code with the World | Fyusion Cracks the Code on Making Machine Learning Work on Any Mobile Device…and They Just Shared that Code with the World
Skip to contentNewsWeatherSportsPure NebraskaContact UsWatch LiveVideoDealsHomeDealsNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesFyusion Cracks the Code on Making Machine Learning Work on Any Mobile Device…and They Just Shared that Code with the WorldPublished: Mar. 7, 2023 at 7:00 AM CST|Updated: 24 minutes agoIn a quest to make machine learning more accessible, world class engineers at Fyusion release lightweight library for running machine learning models on Android, IOS and more platforms.SAN FRANCISCO, March 7, 2023 /PRNewswire/ -- In the machine learning world, making models run across a variety of mobile phones is notoriously challenging. This is why Fyusion, a visual intelligence company owned by Cox Automotive, has delivered a powerful new open-source library that makes it easy and efficient to run machine learning models on almost any mobile device. Now available on GitHub, this lightweight yet powerful software library called FyuseNet can take a wide variety of machine learning models and write incredibly fast implementation for whichever platform the developer chooses—all while maintaining a lean application.Cox Automotive (PRNewsfoto/Cox Automotive)(PRNewswire)"At Fyusion, we live at the intersection of high-tech research and pragmatic engineering, bringing big ideas to life in a way that can truly benefit people around us," said Stephen Miller, Fyusion Co-Founder and Chief Product Officer. "We know how powerful FyuseNet is, as we've used it for years in our own work, and we believe that this can be the one beautiful library that everyone uses to accelerate advancements in machine learning."With stark differences between operating systems, as well as fragmentation across older and newer generations of phones, creating machine learning models for mobile phones has been notoriously inefficient. This has led to innovations mostly being reserved for the $1,000+ flagship phones that are out of the reach of many people.However, the team at Fyusion is on a mission to democratize machine learning and ensure that these technologies are more accessible to more people. That's why it was important to them to open access to FyuseNet, as its lightweight implementation makes it compatible with the majority of devices—regardless of manufacturer or specific processor details—even when there's no network connectivity available. Created in 2016 for internal use, FyuseNet has been iterated on for years within Fyusion before making its inaugural appearance on GitHub this year.The Technical Details:FyuseNet is an OpenGL(ES) based library that enables the running of neural network inference on GPUs that support OpenGL and OpenGL(ES). The library was written in portable C++ and runs on a variety of desktop, edge and mobile platforms. FyuseNet is made freely available under the MIT License.In order to deliver the performance required to run in real-time, the developers integrated a number of tweaks into the library, with the most important being the ability to fuse some operations in a single layer/shader. A second trick that FyuseNet employs is to make use of the raster operation processors of the GPU. This has the added benefit of getting some arithmetic operations essentially for free, as it does not change execution time within the shader. The runtime has no notable external dependency aside from OpenGL, so users get clean, simple, extremely portable code."When we founded Fyusion, one of our goals was to take our team's immense technical expertise and use it to solve real world problems facing everyday people," added Radu Rusu, Fyusion Co-Founder and CEO. "And since innovations in machine learning happen quickly, we believe that making FyuseNet freely available will help us build a wider community of developers who can collectively contribute as discoveries are made and ensure that even more people can benefit from it for years to come."Based in San Francisco, Fyusion employs some of the world's top researchers and developers in machine learning and AI, helping customers view and analyze millions of 3D automotive images every year. Acquired by Cox Automotive, the world's largest automotive services and technology provider, in 2020, Fyusion remains on the cutting edge of computer vision advancement, leveraging software, imaging technology, sensors and services to extract actionable insights from visual data.As a part of Cox Automotive, Fyusion has delivered the wholesale automotive industry's only AI technology that uses 3D imaging to look at vehicle damages from every angle. Fyusion's technology is used in both mobile and fixed imaging solutions to capture millions of used vehicles each year for the world's largest wholesale marketplace, Manheim. Together, Fyusion and Manheim are using the same technology in FyuseNet to deliver the automotive industry's most advanced automated damage detection solution for used vehicles.About Fyusion Fyusion is a computer vision company that builds cutting-edge solutions for automotive inspections, automotive imaging, and related applications. Backed by over 150 patents and patents pending, Fyusion is a pioneer in turning visual data into actionable information. Our San Francisco-based company includes some of the world's top researchers and developers in machine learning and AI. Founded in 2014, Fyusion is a Cox Automotive™ brand. For more information, visit www.fyusion.com.About Cox AutomotiveCox Automotive is the world's largest automotive services and technology provider. Fueled by the largest breadth of first-party data fed by 2.3 billion online interactions a year, Cox Automotive tailors leading solutions for car shoppers, automakers, dealers, retailers, lenders and fleet owners. The company has 25,000+ employees on five continents and a family of trusted brands that includes Autotrader®, Dealertrack®, Kelley Blue Book®, Manheim®, NextGear Capital™ and vAuto®. Cox Automotive is a subsidiary of Cox Enterprises Inc., a privately-owned, Atlanta-based company with $22 billion in revenue. Visit coxautoinc.com or connect via @CoxAutomotive on Twitter, CoxAutoInc on Facebook or Cox-Automotive-Inc on LinkedIn.(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/fyusion-cracks-the-code-on-making-machine-learning-work-on-any-mobile-deviceand-they-just-shared-that-code-with-the-world-301764220.htmlSOURCE Cox AutomotiveThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | Fyusion Cracks the Code on Making Machine Learning Work on Any Mobile Device…and They Just Shared that Code with the World | Fyusion Cracks Code Making Machine Learning Work Any Mobile Deviceand They Just Shared Code World Skip contentNewsWeatherSportsPure Nebraska UsWatch LiveVideoDealsHomeDealsNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesFyusion Cracks Code Making Machine Learning Work Any Mobile Deviceand They Just Shared Code WorldPublished: Mar. 7, 2023 7:00 AM CSTUpdated: 24 minutes agoIn quest machine learning accessible, world class engineers Fyusion release lightweight library running machine learning models Android, IOS platforms.SAN FRANCISCO, March 7, 2023 PRNewswire In machine learning world, making models run variety mobile phones notoriously challenging. This Fyusion, visual intelligence company owned Cox Automotive, delivered powerful new opensource library makes easy efficient run machine learning models mobile device. Now available GitHub, lightweight powerful software library called FyuseNet wide variety machine learning models write incredibly fast implementation whichever platform developer choosesall maintaining lean application.Cox Automotive PRNewsfotoCox AutomotivePRNewswireAt Fyusion, live intersection hightech research pragmatic engineering, bringing big ideas life way truly benefit people us, said Stephen Miller, Fyusion CoFounder Chief Product Officer. We know powerful FyuseNet is, weve years work, believe beautiful library uses accelerate advancements machine learning.With stark differences operating systems, fragmentation older newer generations phones, creating machine learning models mobile phones notoriously inefficient. This led innovations reserved 1,000 flagship phones reach people.However, team Fyusion mission democratize machine learning ensure technologies accessible people. Thats important open access FyuseNet, lightweight implementation makes compatible majority devicesregardless manufacturer specific processor detailseven theres network connectivity available. Created 2016 internal use, FyuseNet iterated years Fyusion making inaugural appearance GitHub year.The Technical Details:FyuseNet OpenGLES based library enables running neural network inference GPUs support OpenGL OpenGLES. The library written portable C runs variety desktop, edge mobile platforms. FyuseNet freely available MIT License.In order deliver performance required run realtime, developers integrated number tweaks library, important ability fuse operations single layershader. A second trick FyuseNet employs use raster operation processors GPU. This added benefit getting arithmetic operations essentially free, change execution time shader. The runtime notable external dependency aside OpenGL, users clean, simple, extremely portable code.When founded Fyusion, goals teams immense technical expertise use solve real world problems facing everyday people, added Radu Rusu, Fyusion CoFounder CEO. And innovations machine learning happen quickly, believe making FyuseNet freely available help build wider community developers collectively contribute discoveries ensure people benefit years come.Based San Francisco, Fyusion employs worlds researchers developers machine learning AI, helping customers view analyze millions 3D automotive images year. Acquired Cox Automotive, worlds largest automotive services technology provider, 2020, Fyusion remains cutting edge vision advancement, leveraging software, imaging technology, sensors services extract actionable insights visual data.As Cox Automotive, Fyusion delivered wholesale automotive industrys AI technology uses 3D imaging look vehicle damages angle. Fyusions technology mobile fixed imaging solutions capture millions vehicles year worlds largest wholesale marketplace, Manheim. Together, Fyusion Manheim technology FyuseNet deliver automotive industrys advanced automated damage detection solution vehicles.About FyusionFyusion vision company builds cuttingedge solutions automotive inspections, automotive imaging, related applications. Backed 150 patents patents pending, Fyusion pioneer turning visual data actionable information. OurSan Franciscobased company includes worlds researchers developers machine learning AI. Founded 2014, Fyusion aCox Automotive brand. For information, visit Cox AutomotiveCox Automotive worlds largest automotive services technology provider. Fueled largest breadth firstparty data fed 2.3 billion online interactions year, Cox Automotive tailors leading solutions car shoppers, automakers, dealers, retailers, lenders fleet owners.The company 25,000 employees continents afamily oftrusted brands includes Autotrader, Dealertrack, Kelley Blue Book, Manheim, NextGear Capitaland vAuto. Cox Automotive subsidiary Cox Enterprises ., privatelyowned, Atlantabased company 22billion revenue.Visit connect Twitter,CoxAutoon Facebook orCoxAutomotiveon LinkedIn.PRNewswireView original content download multimedia: Cox AutomotiveThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.1011now.com/prnewswire/2023/03/20/gigster-launches-artificial-intelligence-services-suite-support-companies-every-level-ai-readiness/ | 2023-03-20T00:00:00 | en | Gigster Launches Artificial Intelligence Services Suite to Support Companies at Every Level of AI Readiness | Gigster Launches Artificial Intelligence Services Suite to Support Companies at Every Level of AI Readiness
Skip to contentNewsWeatherSportsPure NebraskaContact UsWatch LiveVideoDealsHomeDealsNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesGigster Launches Artificial Intelligence Services Suite to Support Companies at Every Level of AI ReadinessPublished: Mar. 20, 2023 at 8:32 AM CDT|Updated: 1 hour ago>>Gigster, the leading AI software development platform, announces three new services to help companies see rapid benefits from AI and machine learning no matter what their current level of AI maturity AUSTIN, Texas, March 20, 2023 /PRNewswire/ -- Innovation and digital transformation firm, Gigster, today announced three new service offerings to help companies speed up their workflows and better leverage data through artificial intelligence. The new services offer specialized teams and proven development processes tailored to the clients' current business needs and level of AI maturity."Our global workforce democratizes access to technology like AI so companies can innovate at scale" -Cory Hymel, GigsterGigster's new offerings include AI Aspire, designed for companies taking their first step into artificial intelligence. AI Infuse provides companies with off the shelf tooling and quick value realization by infusing machine learning into existing workflows. AI Evolve, for organizations already experienced with AI, helps transform businesses through customized, strategic initiatives, augmentation of existing AI teams, and fully-managed AI solutions."After years of gradual adoption, we're seeing an unprecedented number of companies ready to adopt AI at scale," said Gigster's VP of Product, Cory Hymel. "We want to ensure that every company can innovate through AI no matter what their current experience level."Gigster has spent the past decade delivering artificial intelligence and machine learning solutions through its network of over 900 engineers, managers, designers and its own AI-powered development platform. Gigster's data-driven platform analyzes millions of data points to predict delays and bugs before they can affect project timelines, automatically deliver project resources to speed development time, and more quickly assemble teams perfectly matched for specific projects. Their proven processes can assemble AI development teams in less than a week and complete 94% of projects on time and within budget.The demand for artificial intelligence services has skyrocketed in the past few months due to new solutions and pressure on organizations to improve overall productivity. AI can be used for predictive maintenance, automation of manual processes, automated data generation, pattern recognition and prediction, and more."Our fluid, global workforce democratizes access to technology like AI so companies can innovate at scale without needing to support large, in-house data science teams," said Hymel. "As the tech space changes rapidly and every organization works to keep up, having access to a team that is already set up and ready to innovate can be a huge differentiator."In addition to AI Aspire, AI Infuse, and AI Evolve, Gigster recently launched their fully-managed solution for enterprise ChatGPT integrations. For more information on their new AI service offerings and to get updates on how Gigster is transforming companies through AI initiatives, visit Gigster.For more information, please visit www.gigster.com or follow @trygigster on Twitter.View original content:https://www.prnewswire.com/news-releases/gigster-launches-artificial-intelligence-services-suite-to-support-companies-at-every-level-of-ai-readiness-301776136.htmlSOURCE GigsterThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | Gigster Launches Artificial Intelligence Services Suite to Support Companies at Every Level of AI Readiness | Gigster Launches Artificial Intelligence Services Suite Support Companies Every Level AI Readiness Skip contentNewsWeatherSportsPure Nebraska UsWatch LiveVideoDealsHomeDealsNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesGigster Launches Artificial Intelligence Services Suite Support Companies Every Level AI ReadinessPublished: Mar. 20, 2023 8:32 AM CDTUpdated: 1 hour ago>>Gigster, leading AI software development platform, announces new services help companies rapid benefits AI machine learning matter current level AI maturity AUSTIN, Texas, March 20, 2023 PRNewswire Innovation digital transformation firm, Gigster, today announced new service offerings help companies speed workflows better leverage data artificial intelligence. The new services offer specialized teams proven development processes tailored clients current business needs level AI maturity.Our global workforce democratizes access technology like AI companies innovate scale Cory Hymel, GigsterGigsters new offerings include AI Aspire, designed companies taking step artificial intelligence. AI Infuse provides companies shelf tooling quick value realization infusing machine learning existing workflows. AI Evolve, organizations experienced AI, helps transform businesses customized, strategic initiatives, augmentation existing AI teams, fullymanaged AI solutions.After years gradual adoption, seeing unprecedented number companies ready adopt AI scale, said Gigsters VP Product, Cory Hymel. We want ensure company innovate AI matter current experience level.Gigster spent past decade delivering artificial intelligence machine learning solutions network 900 engineers, managers, designers AIpowered development platform. Gigsters datadriven platform analyzes millions data points predict delays bugs affect project timelines, automatically deliver project resources speed development time, quickly assemble teams perfectly matched specific projects. Their proven processes assemble AI development teams week complete 94 projects time budget.The demand artificial intelligence services skyrocketed past months new solutions pressure organizations improve overall productivity. AI predictive maintenance, automation manual processes, automated data generation, pattern recognition prediction, more.Our fluid, global workforce democratizes access technology like AI companies innovate scale needing support large, inhouse data science teams, said Hymel. As tech space changes rapidly organization works up, access team set ready innovate huge differentiator.In addition AI Aspire, AI Infuse, AI Evolve, Gigster recently launched fullymanaged solution enterprise ChatGPT integrations. For information new AI service offerings updates Gigster transforming companies AI initiatives, visit Gigster.For information, visit follow Twitter.View original content: GigsterThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.13abc.com/prnewswire/2022/07/19/darktrace-advances-its-cyber-ai-loop-with-launch-prevent-products-proactively-protect-organizations/ | 2022-07-19T00:00:00 | en | DARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF "PREVENT" PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONS | DARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF "PREVENT" PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONS
Skip to contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeatherLive NewscastsHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings & DelaysLive Action Cams13abc First Alert Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch Live13abc OriginalsHittin' The TownFeel Good FridayThrowback ToledoNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment of ScienceFinds in the 419Getting School'dDine 419The NineBright SideThis is HomeConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationDARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF "PREVENT" PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONSPublished: Jul. 19, 2022 at 2:00 AM EDT|Updated: 1 hour agoDarktrace launches PREVENT product family and continues to deliver on its technology vision of industry-first Cyber AI LoopDarktrace data released today shows a 49% rise in high-priority attempts to breach systems across its global customer base in past 6 monthsEarly adopter customer feedback validates the need for PREVENT product capabilities and Darktrace confirms General Availability date of August 1CAMBRIDGE, England, July 19, 2022 /PRNewswire/ -- Darktrace, a global leader in cyber security artificial intelligence, today announced the launch of Darktrace PREVENT™, an interconnected set of AI products that deliver a proactive cyber security capability to help organizations pre-empt future cyber-attacks. Darktrace PREVENT is the third product area in Darktrace's delivery of a Cyber AI Loop, the industry-first set of AI capabilities which work together autonomously to optimize an organization's state of security through a continuous feedback loop.The new Darktrace PREVENT product family is based on breakthroughs developed in the firm's Cambridge Cyber AI Research Centre and the capabilities gained through the acquisition of Cybersprint in March 2022. PREVENT uses AI to 'think like an attacker,' finding pathways to an organization's most critical assets from inside and outside. Underpinned by AI that 'knows you,' it continuously analyzes the most disruptive attacks for an organization and feeds that information back into DETECT and RESPOND to support continuous learning and automation to harden systems.A number of organizations in the US, UK and Northern Europe are early adopters of Darktrace PREVENT products, including the City of Las Vegas and Sedgwick, a leading global provider of technology-enabled risk, benefits and integrated business solutions.Commenting on the PREVENT product, Michael Lee Sherwood, Chief Innovation Officer, City of Las Vegas, said:"Our team is finding Darktrace PREVENT very useful as it provides the types of insights and reflections we need to ensure we maintain a level of transparency and validity within our digital environment. I can see lots of ROI for municipal environments, especially those built-in cloud and virtual environments, use cases for external auditing, visibility into IoT environments, continuous pen testing, and actively monitoring risk. It also addresses some of the skilled analyst shortages that the cyber security industry is facing."Eric Schmitt, Global Chief Information Security Officer at Sedgwick, commented:"Darktrace PREVENT pairs up our inside and outside views and integrates them with DETECT and RESPOND, which is a game changer. Our customers are advocating that we need to be continuously testing the efficacy of our security. Darktrace PREVENT does just that."Darktrace's latest product family is set to proactively defend organizations against the heightened volume and sophistication of cyber threats, which is making identification and prioritization of their most pressing vulnerabilities increasingly difficult. In new data published today, Darktrace reveals that high-priority attempts to breach customer systems increased by 49% globally between January and June 2022. Over the same period, Darktrace saw a 138% increase in attempted cyber-attacks targeting customers in government-related sectors globally. In the month of June, the Information and Communication sector was the most highly targeted across Darktrace's global customer base as it was in the US. In the UK, the most targeted industry was the public sector and government-related sectors.At the same time, security teams are contending with an ever-increasing volume of vulnerabilities, and they do not have the resources to fight on all fronts. With the launch of PREVENT, Darktrace provides more predictive and preventative solutions to tackle cyber threats and business risk – rather than waiting for breaches to occur before action is taken. In new data published today, based on external vulnerability data of over 150 organizations, Darktrace reveals that 85% of high-risk vulnerabilities are not patched within one week and 70% are still unpatched after one month. Defenders do not have the resources to fight on every front and they cannot simply be reactive anymore.Commenting on the launch of Darktrace PREVENT, Poppy Gustafsson OBE, CEO at Darktrace, said:"Organizations don't have bottomless budgets and security teams don't have endless time. By helping human teams to get a much better picture of their security vulnerabilities and by prioritizing the areas that need hardening first so they can protect their most critical assets, we hope we can help our customers to free themselves of cyber disruption. I'm so excited about today's launch of our PREVENT products, which is a major milestone for Darktrace and brings us one step closer to fulfilling our vision of a Cyber AI Loop."Chris Kissel, Research Director at the International Data Corporation (IDC), the premier global provider of market intelligence for the IT, telecommunications and consumer technology markets said:"A purely reactive approach to security is quickly becoming inadequate. Early data from research into how organizations are mitigating cyber risk and threats show a shift towards proactive, 'always-on' technologies continually running tests on existing systems. Yet a continuous approach is fundamentally impossible to achieve without automation and AI, and Darktrace's combination of AI technology that learns self and its new PREVENT product family will bring real value to thinly stretched security teams."Notes to Editors:Within Darktrace PREVENT, Darktrace today launches two new products. In addition, Darktrace is announcing major new releases to its existing Darktrace DETECT™ and Darktrace RESPOND™ product families, enabling all products to interact with one another as key components of the Cyber AI Loop.Darktrace PREVENT/E2E™ (End-to-End) – an outcomes-based approach to managing cyber risk, incorporating the best capabilities from across multiple disciplines including attack path modelling, automated penetration testing, breach & attack emulation, security awareness testing and training, and vulnerability prioritization.Darktrace PREVENT/ASM™ (Attack Surface Management) – AI performs reconnaissance on a specific target by simply knowing the name of the entity, with zero scope and delivering value across many use cases including shadow IT, supply chain, mergers & acquisitions, configuration errors, and many others.DETECT, RESPOND FEEDBACK LOOP – Existing capabilities integrated with Darktrace PREVENT/E2E and PREVENT/ASM reinforce one another to create a continuous feedback loop for always-on learning from the threat landscape.About DarktraceDarktrace (DARK.L), a global leader in cyber security artificial intelligence, is on a mission to free the world from cyber disruption. Breakthrough innovations in our Cyber AI Research Centre in Cambridge, UK have resulted in over 100 patents filed and research published to contribute to the cyber security community. Rather than study attacks, our technology continuously learns and updates its knowledge of 'you' and applies that understanding to optimize your state of optimal cyber security. We are delivering the first ever Cyber AI Loop, fueling a continuous end-to-end security capability that can autonomously spot and respond to novel in-progress threats within seconds. Darktrace was named one of TIME magazine's 'Most Influential Companies' in 2021. To learn more, visit http://www.darktrace.com.Media ContactsLiz ScanlonCommStrat (US)+1 510 295 [email protected] BerminghamBrands2Life (UK) +44 (0) 7983 857 [email protected] original content:https://www.prnewswire.com/news-releases/darktrace-advances-its-cyber-ai-loop-with-launch-of-prevent-products-to-proactively-protect-organizations-301588353.htmlSOURCE DarktraceThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed Captioning/Audio DescriptionSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileClosed Captioning/Audio DescriptionEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc. | DARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF "PREVENT" PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONS | DARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF PREVENT PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONS Skip contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeatherLive NewscastsHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings DelaysLive Action Cams13abc First Alert Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch Live13abc OriginalsHittin The TownFeel Good FridayThrowback ToledoNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment ScienceFinds 419Getting SchooldDine 419The NineBright SideThis HomeConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationDARKTRACE ADVANCES ITS CYBER AI LOOP WITH LAUNCH OF PREVENT PRODUCTS TO PROACTIVELY PROTECT ORGANIZATIONSPublished: Jul. 19, 2022 2:00 AM EDTUpdated: 1 hour agoDarktrace launches PREVENT product family continues deliver technology vision industryfirst Cyber AI LoopDarktrace data released today shows 49 rise highpriority attempts breach systems global customer base past 6 monthsEarly adopter customer feedback validates need PREVENT product capabilities Darktrace confirms General Availability date August 1CAMBRIDGE, England, July 19, 2022 PRNewswire Darktrace, global leader cyber security artificial intelligence, today announced launch Darktrace PREVENT, interconnected set AI products deliver proactive cyber security capability help organizations preempt future cyberattacks. Darktrace PREVENT product area Darktraces delivery Cyber AI Loop, industryfirst set AI capabilities work autonomously optimize organizations state security continuous feedback loop.The new Darktrace PREVENT product family based breakthroughs developed firms Cambridge Cyber AI Research Centre capabilities gained acquisition Cybersprint March 2022. PREVENT uses AI think like attacker, finding pathways organizations critical assets inside outside. Underpinned AI knows you, continuously analyzes disruptive attacks organization feeds information DETECT RESPOND support continuous learning automation harden systems.A number organizations US, UK Northern Europe early adopters Darktrace PREVENT products, including City Las Vegas Sedgwick, leading global provider technologyenabled risk, benefits integrated business solutions.Commenting PREVENT product, Michael Lee Sherwood, Chief Innovation Officer, City Las Vegas, said:Our team finding Darktrace PREVENT useful provides types insights reflections need ensure maintain level transparency validity digital environment. I lots ROI municipal environments, especially builtin cloud virtual environments, use cases external auditing, visibility IoT environments, continuous pen testing, actively monitoring risk. It addresses skilled analyst shortages cyber security industry facing.Eric Schmitt, Global Chief Information Security Officer Sedgwick, commented:Darktrace PREVENT pairs inside outsideviewsand integrates DETECT RESPOND, game changer. Our customers advocating need continuously testing efficacy security. Darktrace PREVENT that.Darktraces latest product family set proactively defend organizations heightened volume sophistication cyber threats, making identification prioritization pressing vulnerabilities increasingly difficult. In new data published today, Darktrace reveals thathighpriority attempts breach customer systems increased 49 globally January June 2022. Over period, Darktrace saw 138 increase attempted cyberattacks targeting customers governmentrelated sectors globally. In month June, Information Communication sector highly targeted Darktraces global customer base US. In UK, targeted industry public sector governmentrelated sectors.At time, security teams contending everincreasing volume vulnerabilities, resources fight fronts. With launch PREVENT, Darktrace provides predictive preventative solutions tackle cyber threats business risk waiting breaches occur action taken. In new data published today, based external vulnerability data 150 organizations, Darktrace reveals 85 highrisk vulnerabilities patched week 70 unpatched month. Defenders resources fight simply reactive anymore.Commenting launch Darktrace PREVENT, Poppy Gustafsson OBE, CEO Darktrace, said:Organizations dont bottomless budgets security teams dont endless time. By helping human teams better picture security vulnerabilities prioritizing areas need hardening protect critical assets, hope help customers free cyber disruption. Im excited todays launch PREVENT products, major milestone Darktrace brings step closer fulfilling vision Cyber AI Loop.Chris Kissel, Research Director International Data Corporation IDC, premier global provider market intelligence IT, telecommunications consumer technology markets said:A purely reactive approach security quickly inadequate. Early data research organizations mitigating cyber risk threats shift proactive, alwayson technologies continually running tests existing systems. Yet continuous approach fundamentally impossible achieve automation AI, Darktraces combination AI technology learns self new PREVENT product family bring real value thinly stretched security teams.Notes Editors:Within Darktrace PREVENT, Darktrace today launches new products. In addition, Darktrace announcing major new releases existing Darktrace DETECTand Darktrace RESPOND product families, enabling products interact key components Cyber AI Loop.Darktrace PREVENTE2EEndtoEnd outcomesbased approach managing cyber risk, incorporating best capabilities multiple disciplines including attack path modelling, automated penetration testing, breach attack emulation, security awareness testing training, vulnerability prioritization.Darktrace PREVENTASMAttack Surface Management AI performs reconnaissance specific target simply knowing entity, zero scope delivering value use cases including shadow IT, supply chain, mergers acquisitions, configuration errors, others.DETECT, RESPOND FEEDBACK LOOP Existing capabilities integrated Darktrace PREVENTE2E PREVENTASM reinforce create continuous feedback loop alwayson learning threat landscape.About DarktraceDarktraceDARK.L, global leader cyber security artificial intelligence, mission free world cyber disruption. Breakthrough innovations Cyber AI Research Centre Cambridge, UK resulted 100 patents filed research published contribute cyber security community. Rather study attacks, technology continuously learns updates knowledge applies understanding optimize state optimal cyber security. We delivering Cyber AI Loop, fueling continuous endtoend security capability autonomously spot respond novel inprogress threats seconds. Darktrace named TIME magazines Most Influential Companies 2021. To learn more, visit sLiz ScanlonCommStrat US1 510 295 7542darktrace BerminghamBrands2Life UK 44 0 7983 857 952darktrace original content: DarktraceThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed CaptioningAudio DescriptionSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileClosed CaptioningAudio DescriptionEEO StatementFCC Applicationscompliance 419 5311313A Gray Media Group, . Station 20022022 Gray Television, . | 2,022 | [
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https://www.13abc.com/prnewswire/2022/11/04/pcs-software-releases-3rd-quarter-updates-ai-transportation-management-platform/ | 2022-11-04T00:00:00 | en | PCS Software Releases 3rd Quarter Updates to the AI Transportation Management Platform. | PCS Software Releases 3rd Quarter Updates to the AI Transportation Management Platform.
Skip to contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeather13abc Voter GuideLive NewscastsHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings & DelaysLive Action Cams13abc First Alert Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds in the 419Getting School'dHittin' The TownMetroparks MeetupMoment of ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis is HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationClosings and DelaysDismiss Closings Alerts BarPCS Software Releases 3rd Quarter Updates to the AI Transportation Management Platform.Published: Nov. 3, 2022 at 8:33 PM EDT|Updated: 20 minutes agoHOUSTON, Nov. 3, 2022 /PRNewswire/ -- PCS Software (PCS), the leading transportation management (TMS) platform provider for shippers, carriers and brokerages in North America, announces new software updates that enable customers to further streamline freight transactions and enhance their service capabilities.PCS Logo (PRNewsfoto/PCS Software)(PRNewswire)New Features Unveiled for PCS Shipper TMSPCS Software updated its Shipper TMS platform with features that harness the power of artificial intelligence (AI) to automate and improve results in key transportation and logistics processes. The feature updates include:LTL Rating - PCS Shipper TMS can now automate the LTL rating process. This update reduces errors and frees users from manual work, allowing companies to redeploy resources on more valuable activities like generating revenue, procuring capacity, and finding cost savings.DAT Rate Index - Users can now take full advantage of their investment in the DAT rating index. A robust integration with PCS Shipper TMS connects with the DAT rating index and gives users instant access to rates based on equipment type (flatbed, dry van, reefer, etc.), origin and destination, rate type (truckload, LTL, intermodal), period, geographic market, and more.Quote APIs - PCS has added the ability for users to access and book capacity for new trade lanes and commodities without resorting to spot market rating AND without procuring a contracted rate. The new service is backed by leading freight brokers such as Uber Freight, Convoy, and more. PCS Shipper TMS helps users save time and money by directly accessing a guaranteed rate for loads they need to cover.The above features are set to launch alongside several updates for Shipper TMS that include improved reporting capabilities, support for the movement of inbound materials, and a better user interface and experience (UI/UX).PCS Carrier TMS Expanding Capabilities for Dispatch Service ProvidersDispatch service providers can now access a cutting-edge TMS to service their carrier clients.PCS Carrier TMS is now offering unlimited subordinate databases under a single company. This allows providers to streamline dispatch services for an unlimited number of clients without the need to jump from app to app or manually manage their databases with disconnected spreadsheets. By managing their services within a single platform, independent dispatchers can scale operations as their business grows without costly investments into additional TMS accounts.Open Trial for PCS Prime ExpressPCS is announcing that PCS Prime Express is now entering open trial stage. Prime Express is a novel AI Transportation Management Platform (TMP) that optimally matches loads, assets, and drivers within networks and across supply chains.Utilizing an innovative and holistic approach, Prime Express is a departure from traditional transportation management software. Rather than serving individual sectors of the transportation and logistics industry, PCS has developed a single, unified web-based solution that serves both shippers and carriers and brings them together into a single platform.The software automates load planning for shippers as well as dispatch notifications to carriers with one simple platform that integrates with their existing PCS Carrier or Shipper TMS. With built-in artificial intelligence and machine learning capabilities, this new method offers immediate benefits not found in other systems, all through an easily accessible portal."The release of Prime Express comes at the perfect time. With access to powerful load and driver optimization technology in a single, easy-to-use platform, shippers and carriers of all sizes will be able to increase efficiency and sharpen their competitive edge."About PCS SoftwarePCS Software is an AI-driven transportation management platform leader fielding disruptive innovation for mid-to-large sized enterprise shippers, carriers, and brokers in the United States and Canada. Cloud-based, API-integrated, PCS Software automates the entire transportation logistics operation via a single, comprehensive solution. Accessible via the web or the companion mobile app, the PCS platform delivers powerful functionality to manage rate and route optimization, mode selection, dispatch/tendering, carrier and fleet management, safety and compliance, freight yard management, settlement/accounting and more. For more information, visit www.PCSSoft.com.PRESS CONTACT:Paul [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/pcs-software-releases-3rd-quarter-updates-to-the-ai-transportation-management-platform-301668515.htmlSOURCE PCS SoftwareThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed Captioning/Audio DescriptionSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileClosed Captioning/Audio DescriptionEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc. | PCS Software Releases 3rd Quarter Updates to the AI Transportation Management Platform. | PCS Software Releases 3rd Quarter Updates AI Transportation Management Platform. Skip contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeather13abc Voter GuideLive NewscastsHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings DelaysLive Action Cams13abc First Alert Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds 419Getting SchooldHittin The TownMetroparks MeetupMoment ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationClosings DelaysDismiss Closings Alerts BarPCS Software Releases 3rd Quarter Updates AI Transportation Management Platform.Published: Nov. 3, 2022 8:33 PM EDTUpdated: 20 minutes agoHOUSTON, Nov. 3, 2022 PRNewswire PCS Software PCS, leading transportation management TMS platform provider shippers, carriers brokerages North America, announces new software updates enable customers streamline freight transactions enhance service capabilities.PCS Logo PRNewsfotoPCS SoftwarePRNewswireNew Features Unveiled PCS Shipper TMSPCS Software updated Shipper TMS platform features harness power artificial intelligence AI automate improve results key transportation logistics processes. The feature updates include:LTL Rating PCS Shipper TMS automate LTL rating process. This update reduces errors frees users manual work, allowing companies redeploy resources valuable activities like generating revenue, procuring capacity, finding cost savings.DAT Rate Index Users advantage investment DAT rating index. A robust integration PCS Shipper TMS connects DAT rating index gives users instant access rates based equipment type flatbed, dry van, reefer, etc., origin destination, rate type truckload, LTL, intermodal, period, geographic market, more.Quote APIs PCS added ability users access book capacity new trade lanes commodities resorting spot market rating AND procuring contracted rate. The new service backed leading freight brokers Uber Freight, Convoy, more. PCS Shipper TMS helps users save time money directly accessing guaranteed rate loads need cover.The features set launch alongside updates Shipper TMS include improved reporting capabilities, support movement inbound materials, better user interface experience UIUX.PCS Carrier TMS Expanding Capabilities Dispatch Service ProvidersDispatch service providers access cuttingedge TMS service carrier clients.PCS Carrier TMS offering unlimited subordinate databases single company. This allows providers streamline dispatch services unlimited number clients need jump app app manually manage databases disconnected spreadsheets. By managing services single platform, independent dispatchers scale operations business grows costly investments additional TMS accounts.Open Trial PCS Prime ExpressPCS announcing PCS Prime Express entering open trial stage. Prime Express novel AI Transportation Management Platform TMP optimally matches loads, assets, drivers networks supply chains.Utilizing innovative holistic approach, Prime Express departure traditional transportation management software. Rather serving individual sectors transportation logistics industry, PCS developed single, unified webbased solution serves shippers carriers brings single platform.The software automates load planning shippers dispatch notifications carriers simple platform integrates existing PCS Carrier Shipper TMS. With builtin artificial intelligence machine learning capabilities, new method offers immediate benefits systems, easily accessible portal.The release Prime Express comes perfect time. With access powerful load driver optimization technology single, easytouse platform, shippers carriers sizes able increase efficiency sharpen competitive edge.About PCS SoftwarePCS Software AIdriven transportation management platform leader fielding disruptive innovation midtolarge sized enterprise shippers, carriers, brokers United States Canada. Cloudbased, APIintegrated, PCS Software automates entire transportation logistics operation single, comprehensive solution. Accessible web thecompanionmobile app, PCS platform delivers powerful functionality manage rate route optimization, mode selection, dispatchtendering, carrier fleet management, safety compliance, freight yard management, settlementaccounting more. For information, visit CONTACT:Paul Beaverspaul.beavers original content download multimedia: PCS SoftwareThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed CaptioningAudio DescriptionSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileClosed CaptioningAudio DescriptionEEO StatementFCC Applicationscompliance 419 5311313A Gray Media Group, . Station 20022022 Gray Television, . | 2,022 | [
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https://www.13abc.com/prnewswire/2022/11/18/virtus-artificial-intelligence-amp-technology-opportunities-fund-discloses-sources-distribution-section-19a-notice/ | 2022-11-18T00:00:00 | en | Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) Notice | Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) Notice
Skip to contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeatherLive NewscastsHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings & DelaysLive Action Cams13abc First Alert Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds in the 419Getting School'dHittin' The TownMetroparks MeetupMoment of ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis is HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationVirtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) NoticePublished: Nov. 18, 2022 at 4:30 PM EST|Updated: 25 minutes agoHARTFORD, Conn., Nov. 18, 2022 /PRNewswire/ -- Virtus Artificial Intelligence & Technology Opportunities Fund (NYSE: AIO) previously announced the following monthly distribution on September 8, 2022:Amount of DistributionEx-DateRecord DatePayable Date$0.15November 10, 2022November 14, 2022December 1, 2022Under the terms of its Managed Distribution Plan, the Fund will seek to maintain a consistent distribution level that may be paid, in part or in full, from net investment income and realized capital gains, or a combination thereof. Shareholders should note, however, that if the Fund's aggregate net investment income and net realized capital gains are less than the amount of the distribution level, the difference will be distributed from the Fund's assets and will constitute a return of the shareholder's capital. You should not draw any conclusions about the Fund's investment performance from the amount of this distribution or from the terms of the Fund's Managed Distribution Plan.The Fund provided this estimate of the sources of the distributions:Distribution EstimatesNovember 2022 (MTD)Fiscal Year-to-Date (YTD)(1) (Sources)Per ShareAmountPercentage of Current DistributionPer Share AmountPercentageof Current DistributionNet Investment Income$ -0.0 %$ -0.0 %Net Realized Short-Term Capital Gains-0.0 %0.49533.0 %Net Realized Long-Term Capital Gains0.03221.6 %0.88759.2 %Return of Capital (or other Capital Source)0.11878.4 %0.1187.8 %Total Distribution$ 0.150100.0 %$ 1.500100.0 %(1)Fiscal year started February 1, 2022Information regarding the Fund's performance and distribution rates is set forth below. Please note that all performance figures are based on the Fund's NAV and not the market price of the Fund's shares. Performance figures are not meant to represent individual shareholder performance.October 31, 2022Average Annual Total Return on NAV for the 5-year period (2)10.95 %Current Fiscal YTD Annualized Distribution Rate (3)9.33 %Fiscal YTD Cumulative Total Return on NAV (4)-14.85 %Fiscal YTD Cumulative Distribution Rate (5)7.00 %(2)Average Annual Total Return on NAV is the annual compound return for the five-year period. It reflects the change in the Fund's NAV and reinvestment of all distributions. AIO incepted October 31, 2019, and thus returns represent inception to date returns.(3)Current Fiscal YTD Annualized Distribution Rate is the current distribution rate annualized as a percentage of the Fund's NAV at month end.(4)Fiscal YTD Cumulative Total Return on NAV is the percentage change in the Fund's NAV from the first day of the fiscal year to this month end, including distributions paid and assuming reinvestment of those distributions.(5)Fiscal YTD Cumulative Distribution Rate is the dollar value of distributions from the first day of the fiscal year to this month end as a percentage of the Fund's NAV at month end.The amounts and sources of distributions reported in this notice are estimates only and are not being provided for tax reporting purposes. The actual amounts and sources of the distributions for tax purposes will depend on the Fund's investment experience during the remainder of its fiscal year and may be subject to changes based on tax regulations. The Fund or your broker will send you a Form 1099-DIV for the calendar year that will tell you what distributions to report for federal income tax purposes.About the FundVirtus Artificial Intelligence & Technology Opportunities Fund is a diversified closed-end fund that seeks to provide total return through a combination of current income, current gains, and long-term capital appreciation. A multi-asset approach based on fundamental research is employed, dynamically allocating to attractive segments of a company's debt and equity in order to offer an attractive risk/reward profile. Virtus Investment Advisers, Inc. is the investment adviser to the Fund and Voya Investment Management is its subadviser.For more information on the Fund, contact shareholder services at (866) 270-7788, by email at [email protected], or through the Closed-End Funds section of virtus.com.Fund RisksAn investment in a fund is subject to risk, including the risk of possible loss of principal. A fund's shares may be worth less upon their sale than what an investor paid for them. Shares of closed-end funds may trade at a premium or discount to their net asset value. For more information about the Fund's investment objective and risks, please see the Fund's annual report. A copy of the Fund's most recent annual report may be obtained free of charge by contacting "Shareholder Services" as set forth at the end of this press release.(PRNewsfoto/Virtus Funds)(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/virtus-artificial-intelligence--technology-opportunities-fund-discloses-sources-of-distribution--section-19a-notice-301683117.htmlSOURCE Virtus Artificial Intelligence & Technology Opportunities FundThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed Captioning/Audio DescriptionSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileClosed Captioning/Audio DescriptionEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc. | Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution | Virtus Artificial Intelligence amp; Technology Opportunities Fund Discloses Sources Distribution Section 19a Notice Skip contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsWeatherLive NewscastsHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings DelaysLive Action Cams13abc First Alert Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds 419Getting SchooldHittin The TownMetroparks MeetupMoment ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationVirtus Artificial Intelligence Technology Opportunities Fund Discloses Sources Distribution Section 19a NoticePublished: Nov. 18, 2022 4:30 PM ESTUpdated: 25 minutes agoHARTFORD, Conn., Nov. 18, 2022 PRNewswire Virtus Artificial Intelligence Technology Opportunities FundNYSE: AIOpreviously announced following monthly distribution September 8, 2022:Amount DistributionExDateRecord DatePayable Date0.15November 10, 2022November 14, 2022December 1, 2022Under terms Managed Distribution Plan, Fund seek maintain consistent distribution level paid, full, net investment income realized capital gains, combination thereof. Shareholders note, however, Funds aggregate net investment income net realized capital gains distribution level, difference distributed Funds assets constitute return shareholders capital. You draw conclusions Funds investment performance distribution terms Funds Managed Distribution Plan.The Fund provided estimate sources distributions:Distribution EstimatesNovember 2022 MTDFiscal YeartoDate YTD1 SourcesPer ShareAmountPercentage Current DistributionPer Share AmountPercentageof Current DistributionNet Investment ome 0.0 0.0Net Realized ShortTerm Capital Gains0.00.49533.0Net Realized LongTerm Capital Gains0.03221.60.88759.2Return Capital Capital Source0.11878.40.1187.8Total Distribution 0.150100.0 1.500100.01Fiscal year started February 1, 2022Information Funds performance distribution rates set forth below. Please note performance figures based Funds NAV market price Funds shares. Performance figures meant represent individual shareholder performance.October 31, 2022Average Annual Total Return NAV 5year period 210.95Current Fiscal YTD Annualized Distribution Rate 39.33Fiscal YTD Cumulative Total Return NAV 414.85Fiscal YTD Cumulative Distribution Rate 57.002Average Annual Total Return NAV annual compound return fiveyear period.It reflects change Funds NAV reinvestment distributions. AIO incepted October 31, 2019, returns represent inception date returns.3Current Fiscal YTD Annualized Distribution Rate current distribution rate annualized percentage Funds NAV month end.4Fiscal YTD Cumulative Total Return NAV percentage change Funds NAV day fiscal year month end, including distributions paid assuming reinvestment distributions.5Fiscal YTD Cumulative Distribution Rate dollar value distributions day fiscal year month end percentage Funds NAV month end.Theamounts sources distributionsreported inthis noticeareestimates notbeingprovided tax reportingpurposes.The actualamounts sources distributions tax purposes willdepend theFunds investmentexperience theremainder ofits fiscalyear subjectto changes based taxregulations.The Fund broker willsend Form1099DIV forthecalendaryearthatwilltellyou distributions reportfor federal income tax purposes.About FundVirtus Artificial Intelligence Technology Opportunities Fundis diversified closedend fund seeks provide total return combination current income, current gains, longterm capital appreciation. A multiasset approach based fundamental research employed, dynamically allocating attractive segments companys debt equity order offer attractive riskreward profile. Virtus Investment Advisers, . investment adviser Fund Voya Investment Managementis subadviser.For information Fund, contact shareholder services 866 2707788, email closedendfunds ClosedEnd Funds section .Fund RisksAn investment fund subject risk, including risk possible loss principal. A funds shares worth sale investor paid them. Shares closedend funds trade premium discount net asset value. For information Funds investment objective risks, Funds annual report. A copy Funds recent annual report obtained free charge contacting Shareholder Services set forth end press release.PRNewsfotoVirtus FundsPRNewswireView original content download multimedia: Virtus Artificial Intelligence Technology Opportunities FundThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsWeatherSportsCommunity CalendarLive NewscastsClosed CaptioningAudio DescriptionSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileClosed CaptioningAudio DescriptionEEO StatementFCC Applicationscompliance 419 5311313A Gray Media Group, . Station 20022022 Gray Television, . | 2,022 | [
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https://www.14news.com/prnewswire/2023/03/28/cisco-powers-unrivaled-hybrid-work-experiences-with-purpose-built-ai-innovations-webex/ | 2023-03-28T00:00:00 | en | Cisco Powers Unrivaled Hybrid Work Experiences with Purpose-Built AI Innovations in Webex | Cisco Powers Unrivaled Hybrid Work Experiences with Purpose-Built AI Innovations in Webex
Skip to contentBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsSunrise ShoutoutElectionsNational NewsSpecial CoverageWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsBasketballViewer Photos & VideosScoresClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusPeace of MindCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle - Country Music & LifestylePress Releases19 weather alerts in effectDismiss Weather Alerts Alerts BarCisco Powers Unrivaled Hybrid Work Experiences with Purpose-Built AI Innovations in WebexPublished: Mar. 28, 2023 at 8:00 AM CDT|Updated: 51 minutes agoNews Summary:AI-powered enhancements across Webex Suite, Devices, and CX deliver more personalized and inclusive experiencesCisco Collaboration Devices now have camera intelligence for an all-new cinematic meetings experienceWebex Calling hits over 10 million user milestone, nearly doubling growth year over yearSAN JOSE, Calif., March 28, 2023 /PRNewswire/ -- Cisco today unveiled new purpose-built Webex artificial intelligence (AI) capabilities that deliver unrivaled hybrid work experience as the new normal continues to evolve. In a world where people demand exceptional, personalized work experiences, organizations must meet both employees and customers on their terms – while driving real value."AI presents the next evolution of hybrid work, holding the key to unlocking a materially enhanced hybrid work and customer experience," said Jeetu Patel, EVP and GM, Security and Collaboration, Cisco. "Cisco has decades of experience in AI with its industry-leading natural language understanding, and audio and video intelligence in Webex, which I'm thrilled is extending into even more innovations across our collaboration portfolio. As we double down on our AI investment, we're empowering our customers to deliver exceptional hybrid work and customer experience outcomes based on their datasets, while relentlessly protecting their confidentiality and privacy."To deliver remarkable experiences for hybrid workers and customers, Webex's innovations span three categories built on the Webex Platform, which has a track record of hundreds of AI and machine learning features already embedded in Cisco products.Reimagining WorkspacesAs employees increasingly come back to the office, great hybrid work experiences require innovative use of video intelligence to ensure everyone is able to participate equally when they collaborate. Building on advanced AI capabilities already available in Cisco Collaboration devices today, Webex is expanding its video-intelligence in its devices through conference room operating system Cisco Room OS. Users will benefit from the ability to automatically provide the most optimal views in any meeting, at any moment, in any space with new capabilities that deliver:Cinematic meeting experiences: With cinematic meetings on Cisco Collaboration devices, cameras follow individuals through voice and facial recognition, automatically switching views to capture the best angle of the active speaker. This benefits people in the room with immaculate focus on the speaker, and hybrid workers not in the meeting room will feel included even if they are not physically in the room.Meeting zones: With this capability, IT admins can set virtual boundaries for any collaboration space in the office, turning it into a meeting zone. With meeting zones, people are individually framed in a condensed view – leaving any blank space out of the view. Only people that are inside defined boundaries are included in the meeting. This is critical in busy open spaces and in conference rooms with glass walls, to eliminate the distraction of people outside the meeting.Optimizing Collaboration In today's hybrid world, organizations must provide employees with flexibility in when, where, and how they work – which requires technology that best optimizes collaboration. As a testament to Webex Calling's ability to deliver the flexible hybrid work technologies organizations need, it's reached a new milestone of connecting over 10 million users, nearly doubling year-over-year growth. To further optimize collaboration, Cisco is introducing new AI capabilities in the Webex Suite, including:High-definition (HD) meetings that don't require HD bandwidth: Webex's Super Resolution ensures crystal clear video in Webex meetings, even with low-quality cameras or low bandwidth conditions.Smart re-lighting: To ensure people look their best in any environment, smart re-lighting automatically improves poor lighting when it's too dim or bright. For example, when working outside on a sunny day, the appearance of underexposed video is adjusted so the person appears more clearly.Automatic "be right back" update: This capability automatically puts up a BRB message, blurs the background and mutes audio when a user steps away from a Webex meeting. For example, if your doorbell rings and you leave a meeting to pick up a delivery. The BRB message is automatically removed once the user returns.Maximizing Customer Experience Customer expectations are at an all-time high, and organizations have billions of interactions with customers daily. It's become impossible for agents and legacy systems to keep up with the volume, velocity, and disparity of interactions and the personalization required to address this. Cisco leverages its same market-leading technology required for Hybrid Work to fuel its Webex customer experience solutions.Today, Cisco is unveiling its vision of the self-learning contact center. Cisco is also introducing new AI capabilities for its customer experience solutions, spanning Webex Contact Center and its cloud communications platform, Webex Connect. These new capabilities include:Actionable insights for improved CX: Topic Analysis in Webex Contact Center surfaces key reasons customers are calling into the contact center. It aggregates call transcript data from the contact center and models trends succinctly for business analysts, so they can proactively adapt to meet the needs of customers. This capability is self-learning, constantly getting smarter from customer interactions.Agent Answers as a real-time agent coach: With this capability, learnings from both self-service and automated customer interactions are fed back into the self-learning contact center to increase human agents' effectiveness. Agent Answers listens and acts as a real-time coach for the human agent, surfacing knowledge base articles and helpful information the agent can instantly provide the customer.Automated chat summaries for agents: AI-powered chat summaries eliminate the need for agents to read lengthy digital chat histories with customers to determine issues and resolutions already explored. Agents will benefit from a faster, automated way to consume long-form text from customer chats and provide key takeaways in a quickly digestible format.Automated code for rapid customization of customer journeys: Today, Webex's low-code flow builder capability in Webex Connect already helps businesses orchestrate and automate end-to-end customer journeys. Now, users will be able to simply describe the function they want to perform, such as "validate an email address," and AI will generate and return the appropriate code instantly. This makes it easier to create and iterate customer journeys quickly.New Webex AI capabilities are expected to roll out over the course of 2023. For more information, please visit www.webex.com.About CiscoCisco (NASDAQ: CSCO) is the worldwide leader in technology that powers the Internet. Cisco inspires new possibilities by reimagining your applications, securing your data, transforming your infrastructure, and empowering your teams for a global and inclusive future. Discover more on The Newsroom and follow us on Twitter at @Cisco.Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.Webex by CiscoWebex is a leading provider of cloud-based collaboration solutions which includes video meetings, calling, messaging, events, polling, asynchronous video and customer experience solutions like contact center and purpose-built collaboration devices. Webex's focus on delivering inclusive collaboration experiences fuels our innovation, which leverages AI and Machine Learning, to remove the barriers of geography, language, personality and familiarity with technology. Its solutions are underpinned with security and privacy by design. Webex works with the world's leading business and productivity apps – delivered through a single application and interface. Learn more at webex.com.Cisco Logo (PRNewsfoto/Cisco)(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/cisco-powers-unrivaled-hybrid-work-experiences-with-purpose-built-ai-innovations-in-webex-301783330.htmlSOURCE Cisco Systems, Inc.The above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | Cisco Powers Unrivaled Hybrid Work Experiences with Purpose-Built AI Innovations in Webex | Cisco Powers Unrivaled Hybrid Work Experiences PurposeBuilt AI Innovations Webex Skip contentBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsSunrise ShoutoutElectionsNational NewsSpecial CoverageWeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsBasketballViewer Photos VideosScoresClosingsSign Up Closings AccessClosings Admin HealthCoronavirusPeace MindCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle Country Music LifestylePress Releases19 weather alerts effectDismiss Weather Alerts Alerts BarCisco Powers Unrivaled Hybrid Work Experiences PurposeBuilt AI Innovations WebexPublished: Mar. 28, 2023 8:00 AM CDTUpdated: 51 minutes agoNews Summary:AIpowered enhancements Webex Suite, Devices, CX deliver personalized inclusive experiencesCisco Collaboration Devices camera intelligence allnew cinematic meetings experienceWebex Calling hits 10 million user milestone, nearly doubling growth year yearSAN JOSE, Calif., March 28, 2023 PRNewswire Cisco today unveiled new purposebuilt Webex artificial intelligence AI capabilitiesthat deliver unrivaled hybrid work experience new normal continues evolve. In world people demand exceptional, personalized work experiences, organizations meet employees customers terms driving real value.AI presents evolution hybrid work, holding key unlocking materially enhanced hybrid work customer experience, said Jeetu Patel, EVP GM, Security Collaboration, Cisco. Cisco decades experience AI industryleading natural language understanding, audio video intelligence Webex, Im thrilled extending innovations collaboration portfolio. As double AI investment, empowering customers deliver exceptional hybrid work customer experience outcomes based datasets, relentlessly protecting confidentiality privacy.To deliver remarkable experiences hybrid workers customers, Webexs innovations span categories built Webex Platform, track record hundreds AI machine learning features embedded Cisco products.Reimagining WorkspacesAs employees increasingly come office, great hybrid work experiences require innovative use video intelligence ensure able participate equally collaborate. Building advanced AI capabilities available Cisco Collaboration devices today, Webex expanding videointelligence devices conference room operating Cisco Room OS. Users benefit ability automatically provide optimal views meeting, moment, space new capabilities deliver:Cinematic meeting experiences: With cinematic meetings Cisco Collaboration devices, cameras follow individuals voice facial recognition, automatically switching views capture best angle active speaker. This benefits people room immaculate focus speaker, hybrid workers meeting room feel included physically room.Meeting zones: With capability, IT admins set virtual boundaries collaboration space office, turning meeting zone. With meeting zones, people individually framed condensed view leaving blank space view. Only people inside defined boundaries included meeting. This critical busy open spaces conference rooms glass walls, eliminate distraction people outside meeting.Optimizing CollaborationIn todays hybrid world, organizations provide employees flexibility when, where, work requires technology best optimizes collaboration. As testament Webex Callings ability deliver flexible hybrid work technologies organizations need, reached new milestone connecting 10 million users, nearly doubling yearoveryear growth. To optimize collaboration, Cisco introducing new AI capabilities Webex Suite, including:Highdefinition HD meetings dont require HD bandwidth: Webexs Super Resolution ensures crystal clear video Webex meetings, lowquality cameras low bandwidth conditions.Smart relighting: To ensure people look best environment, smart relighting automatically improves poor lighting dim bright. For example, working outside sunny day, appearance underexposed video adjusted person appears clearly.Automatic right update: This capability automatically puts BRB message, blurs background mutes audio user steps away Webex meeting. For example, doorbell rings leave meeting pick delivery. The BRB message automatically removed user returns.Maximizing Customer Experience Customer expectations alltime high, organizations billions interactions customers daily. Its impossible agents legacy systems volume, velocity, disparity interactions personalization required address this. Cisco leverages marketleading technology required Hybrid Work fuel Webex customer experience solutions.Today, Cisco unveiling vision selflearning contact center. Cisco introducing new AI capabilities customer experience solutions, spanning Webex Centerand cloud communications platform, Webex Connect. These new capabilities include:Actionable insights improved CX: Topic Analysis Webex Center surfaces key reasons customers calling contact center. It aggregates transcript data contact center models trends succinctly business analysts, proactively adapt meet needs customers. This capability selflearning, constantly getting smarter customer interactions.Agent Answers realtime agent coach: With capability, learnings selfservice automated customer interactions fed selflearning contact center increase human agents effectiveness. Agent Answers listens acts realtime coach human agent, surfacing knowledge base articles helpful information agent instantly provide customer.Automated chat summaries agents: AIpowered chat summaries eliminate need agents read lengthy digital chat histories customers determine issues resolutions explored. Agents benefit faster, automated way consume longform text customer chats provide key takeaways quickly digestible format.Automated code rapid customization customer journeys: Today, Webexs lowcode flow builder capability Webex Connect helps businesses orchestrate automate endtoend customer journeys. Now, users able simply function want perform, validate email address, AI generate return appropriate code instantly. This makes easier create iterate customer journeys quickly.New Webex AI capabilities expected roll course 2023. For information, visit CiscoCisco NASDAQ: CSCO worldwide leader technology powers Internet. Cisco inspires new possibilities reimagining applications, securing data, transforming infrastructure, empowering teams global inclusive future. Discover onThe Newsroomand follow Twitter Cisco logo trademarks registered trademarks Cisco andor affiliates U.S. countries. A listing Ciscos trademarks Thirdparty trademarks mentioned property respective owners. The use word partner imply partnership relationship Cisco company.Webex CiscoWebex leading provider cloudbased collaboration solutions includes video meetings, calling, messaging, events, polling, asynchronous video customer experience solutions like contact center purposebuilt collaboration devices. Webexs focus delivering inclusive collaboration experiences fuels innovation, leverages AI Machine Learning, remove barriers geography, language, personality familiarity technology. Its solutions underpinned security privacy design. Webex works worlds leading business productivity apps delivered single application interface. Learn at.Cisco Logo PRNewsfotoCiscoPRNewswireView original content download multimedia: Cisco Systems, .The press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersA Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.14news.com/prnewswire/2023/07/11/angiogenesis-foundation-receives-landmark-philanthropic-gift-advance-food-medicine-pioneer-dietary-angiogenesis/ | 2023-07-11T00:00:00 | en | The Angiogenesis Foundation Receives Landmark Philanthropic Gift to Advance Food as Medicine and Pioneer Dietary Angiogenesis | The Angiogenesis Foundation Receives Landmark Philanthropic Gift to Advance Food as Medicine and Pioneer Dietary Angiogenesis
Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace of MindWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindClick Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsBasketballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesThe Angiogenesis Foundation Receives Landmark Philanthropic Gift to Advance Food as Medicine and Pioneer Dietary AngiogenesisPublished: Jul. 11, 2023 at 4:36 PM CDT|Updated: 36 minutes agoCAMBRIDGE, Mass., July 11, 2023 /PRNewswire/ -- The Angiogenesis Foundation, a leading nonprofit organization at the forefront of medical innovation, is thrilled to announce a transformative philanthropic gift from Stéphane and Brenda Bancel through the Bancel Philanthropies. This significant contribution, driven by Mr. Bancel's passion for groundbreaking research in food and health, marks the largest single donation in the Foundation's history. It propels the Foundation's pioneering work in utilizing food as medicine to prevent, treat, and reverse diseases through dietary angiogenesis.(PRNewswire)The Angiogenesis Foundation, headquartered in Cambridge, was founded in 1994 with a mission to advance new treatments for serious diseases centered around the common denominator of new blood vessel growth, also known as angiogenesis. Renowned for its groundbreaking efforts to help patients find better treatment for cancer, wound healing, and vision loss prevention, the Foundation has played an instrumental role in the development of over 43 FDA-approved therapies.The Foundation's impact, however, extends far beyond biopharmaceutical medical approaches. Driven by a passion to explore the untapped healing potential of food, the Angiogenesis Foundation has been quietly revolutionizing the field of food as medicine. Employing the same rigorous experimental approaches used in pharmaceutical development, the Foundation has harnessed the power of food to qualitatively and quantitatively demonstrate the potency of food, firmly establishing an evidence-based approach to the concept of 'food as medicine.'Central to the Foundation's accomplishments is the visionary leadership of Dr. William Li, a renowned medical expert and the author of two New York Times best-selling books on food and health: "Eat to Beat Disease" and "Eat to Beat Your Diet." Dr. Li's groundbreaking research has been instrumental in bridging the gap between nutrition and health outcomes, inspiring millions of individuals worldwide to embrace a holistic approach to health and well-being.Dr. Li's widely acclaimed TED Talk on the transformative potential of food in health has garnered over 11 million views, captivating audiences worldwide and igniting interest in the intersection of food and health. Leveraging his expertise and innovative mindset, the Foundation has presented its pioneering research at esteemed institutions such as the US National Institute of Health, the US Congress, and the Vatican, further solidifying its reputation as a global thought leader in the field.This transformational philanthropic gift from Bancel Philanthropies propels the Angiogenesis Foundation into a position for leadership in this new frontier. With this support, the Foundation aims to expand its efforts in bringing the practice of food as medicine to communities across the United States and around the world. By harnessing the remarkable potential of foods that influence angiogenesis, the Foundation seeks to lower the societal burden of disease, improve health outcomes, and enhance the well-being of individuals globally.Commenting on the gift, Stéphane Bancel expressed his enthusiasm for the Foundation's mission, stating, "We believe in the tremendous impact of the Angiogenesis Foundation's pioneering work in advancing food as medicine. Dr. William Li's groundbreaking research, as showcased in his exceptional books 'Eat to Beat Disease' and 'Eat to Beat Your Diet,' further underscores the role of our everyday diet in transforming our health and well-being. This transformative gift aims to unlock the full potential of dietary angiogenesis, empowering individuals and communities to prevent, treat, and reverse diseases through the very essence of nature's bounty."The Angiogenesis Foundation invites other visionaries and advocates who share a passion for food as medicine, driven by science and its practical applications to join their efforts. By uniting in this collective endeavor, the Foundation will shape the future where food becomes integral in societal health.About Bancel Philanthropies: Bancel Philanthropies is the family philanthropy of Brenda and Stéphane Bancel, and invests in people and programs with the potential to transform lives, advance justice and heal communities. Our goal is to fully exert our belief in the goodness of humanity through building relationships with community leaders. We fund projects that speak to the fundamental emotion that nurtures us through hardship and sustains the human heart: love. Our funding priorities are creating equitable access to education, increasing food security, reducing health inequities, bolstering interfaith initiatives, reducing racial inequities, supporting trauma survivors and vulnerable communities, improving youth mental health and social isolation, and stewarding sustainable conservation and food systems. To learn more, visit bancelphilanthropies.org.For more information about the Angiogenesis Foundation, its pioneering work, and opportunities to support this transformative initiative, please visit angio.orgView original content to download multimedia:https://www.prnewswire.com/news-releases/the-angiogenesis-foundation-receives-landmark-philanthropic-gift-to-advance-food-as-medicine-and-pioneer-dietary-angiogenesis-301874889.htmlSOURCE The Angiogenesis FoundationThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | The Angiogenesis Foundation Receives Landmark Philanthropic Gift to Advance Food as Medicine and Pioneer Dietary Angiogenesis | The Angiogenesis Foundation Receives Landmark Philanthropic Gift Advance Food Medicine Pioneer Dietary Angiogenesis Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace MindWeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindClick Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsBasketballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesThe Angiogenesis Foundation Receives Landmark Philanthropic Gift Advance Food Medicine Pioneer Dietary AngiogenesisPublished: Jul. 11, 2023 4:36 PM CDTUpdated: 36 minutes agoCAMBRIDGE, Mass., July 11, 2023 PRNewswire The Angiogenesis Foundation, leading nonprofit organization forefront medical innovation, thrilled announce transformative philanthropic gift Stphane Brenda Bancel Bancel Philanthropies. This significant contribution, driven Mr. Bancels passion groundbreaking research food health, marks largest single donation Foundations history. It propels Foundations pioneering work utilizing food medicine prevent, treat, reverse diseases dietary angiogenesis.PRNewswireThe Angiogenesis Foundation, headquartered Cambridge, founded 1994 mission advance new treatments diseases centered common denominator new blood vessel growth, known angiogenesis. Renowned groundbreaking efforts help patients better treatment cancer, wound healing, vision loss prevention, Foundation played instrumental role development 43 FDAapproved therapies.The Foundations impact, however, extends far biopharmaceutical medical approaches. Driven passion explore untapped healing potential food, Angiogenesis Foundation quietly revolutionizing field food medicine. Employing rigorous experimental approaches pharmaceutical development, Foundation harnessed power food qualitatively quantitatively demonstrate potency food, firmly establishing evidencebased approach concept food medicine.Central Foundations accomplishments visionary leadership Dr. William Li, renowned medical expert author New York Times bestselling books food health: Eat Beat Disease Eat Beat Your Diet. Dr. Lis groundbreaking research instrumental bridging gap nutrition health outcomes, inspiring millions individuals worldwide embrace holistic approach health wellbeing.Dr. Lis widely acclaimed TED Talk transformative potential food health garnered 11 million views, captivating audiences worldwide igniting intersection food health. Leveraging expertise innovative mindset, Foundation presented pioneering research esteemed institutions US National Institute Health, US Congress, Vatican, solidifying reputation global thought leader field.This transformational philanthropic gift Bancel Philanthropies propels Angiogenesis Foundation position leadership new frontier. With support, Foundation aims expand efforts bringing practice food medicine communities United States world. By harnessing remarkable potential foods influence angiogenesis, Foundation seeks lower societal burden disease, improve health outcomes, enhance wellbeing individuals globally.Commenting gift, Stphane Bancel expressed enthusiasm Foundations mission, stating, We believe tremendous impact Angiogenesis Foundations pioneering work advancing food medicine. Dr. William Lis groundbreaking research, showcased exceptional books Eat Beat Disease Eat Beat Your Diet, underscores role everyday diet transforming health wellbeing. This transformative gift aims unlock potential dietary angiogenesis, empowering individuals communities prevent, treat, reverse diseases essence natures bounty.The Angiogenesis Foundation invites visionaries advocates share passion food medicine, driven science practical applications join efforts. By uniting collective endeavor, Foundation shape future food integral societal health.About Bancel Philanthropies:Bancel Philanthropies family philanthropy Brenda Stphane Bancel, invests people programs potential transform lives, advance justice heal communities. Our goal fully exert belief goodness humanity building relationships community leaders. We fund projects speak fundamental emotion nurtures hardship sustains human heart: love. Our funding priorities creating equitable access education, increasing food security, reducing health inequities, bolstering interfaith initiatives, reducing racial inequities, supporting trauma survivors vulnerable communities, improving youth mental health social isolation, stewarding sustainable conservation food systems. To learn more, visit.For information Angiogenesis Foundation, pioneering work, opportunities support transformative initiative, visit angio.orgView original content download multimedia: The Angiogenesis FoundationThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.14news.com/prnewswire/2023/08/08/inbenta-expands-its-customer-experience-platform-allowing-companies-integrate-generative-ai-solution-their-choice/ | 2023-08-08T00:00:00 | en | Inbenta Expands its Customer Experience Platform, Allowing Companies to Integrate the Generative AI Solution of Their Choice | Inbenta Expands its Customer Experience Platform, Allowing Companies to Integrate the Generative AI Solution of Their Choice
Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsBack to SchoolSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace of MindWeatherSportsAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindClick Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsFootballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesInbenta Expands its Customer Experience Platform, Allowing Companies to Integrate the Generative AI Solution of Their ChoicePublished: Aug. 8, 2023 at 7:00 AM CDT|Updated: 56 minutes agoDALLAS, Aug. 8, 2023 /PRNewswire/ -- Inbenta, an AI platform purpose-built to optimize customer experience, today announced the launch of an extensive Generative AI integration that will allow companies to develop and organize their content instantaneously, with minimal effort, and in a manner that supports the opportunity for oversight and increased compliance. As a part of the integration, companies will be able to seamlessly add Open AI, Google, or other leading Generative AI platforms into their customer experience workflows and control how, where, and when these platforms are used.Inbenta. Supercharge your customer experience with AI. Learn more at Inbenta.com.(PRNewswire)By adding Generative AI, Inbenta aims to cut a company's content development timeline by well over half, supercharging their ability to quickly develop customer service responses, chatbot scripts, helpful content pieces and more. Leveraging Inbenta's customer experience platform, companies will also be able to more easily deploy and track AI generated content and responses across chatbot, search, messenger, knowledge management and other customer experience tools.Importantly, by providing choice and the ability to control the review and delivery of AI generated content, Inbenta is helping companies deploy Generative AI in a safer and more responsible manner, allowing companies to add layers of human oversight and review of AI generated content."Inbenta's integration gives companies the option to harness the power of Generative AI in a scalable and responsible way, providing the control, infrastructure and oversight needed in an enterprise setting," said Melissa Solis, CEO at Inbenta. "Today's news represents a massive leap forward for Inbenta's AI platform approach. By adding Generative AI, Inbenta is helping companies deploy content faster to improve customer experience, resolve customer service issues, providing a novel way to boost sales and increase revenue. Most competitors in the industry can't bring the force of value or choice that Inbenta now offers.""Every company has different policies and comfort levels with the use of Generative AI, which is why Inbenta took a thoughtful, compliance-focused approach and applied flexibility and control to the integration," said Adam Rivera, Chief Legal Officer at Inbenta. "There's genuine concern in the market targeted at Generative AI on the topics of privacy, security, intellectual property and accuracy. The integration of Generative AI into Inbenta's platform was thoughtfully done to help customers mitigate those risks, and address the market's concerns, by offering a layered approach that includes customer oversight."Inbenta's integration also gives companies the option to couple the power of Generative AI's Large Language Models (LLMs) with Inbenta's industry-leading Conversational AI technology, supported by Natural Language Processing (NLP), Neuro-Symbolic AI, and a cross-industry, 35 language Lexicon.To learn more about Inbenta's Generative AI integration, click here.About Inbenta Founded in 2005, Inbenta (www.inbenta.com) is a global AI platform purpose-built to optimize customer experience. The company's powerful platform combines the use of Natural Language Processing, Neuro-Symbolic AI and Generative AI across four digital support communication modules – Chatbot, Knowledge, Search, and Messenger – delivering a complete and configurable solution for any enterprise. With its headquarters in Dallas, TX, and with regional offices in the U.S., Europe, Brazil and Japan, Inbenta has over 1,000 global brands using its solution across a range of industries, including: financial services, travel, ecommerce, telecom, and utilities.View original content to download multimedia:https://www.prnewswire.com/news-releases/inbenta-expands-its-customer-experience-platform-allowing-companies-to-integrate-the-generative-ai-solution-of-their-choice-301895041.htmlSOURCE InbentaThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | Inbenta Expands its Customer Experience Platform, Allowing Companies to Integrate the Generative AI Solution of Their Choice | Inbenta Expands Customer Experience Platform, Allowing Companies Integrate Generative AI Solution Their Choice Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsBack SchoolSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace MindWeatherSportsTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindClick Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsFootballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesInbenta Expands Customer Experience Platform, Allowing Companies Integrate Generative AI Solution Their ChoicePublished: Aug. 8, 2023 7:00 AM CDTUpdated: 56 minutes agoDALLAS, Aug. 8, 2023 PRNewswire Inbenta, AI platform purposebuilt optimize customer experience, today announced launch extensive Generative AI integration allow companies develop organize content instantaneously, minimal effort, manner supports opportunity oversight increased compliance. As integration, companies able seamlessly add Open AI, Google, leading Generative AI platforms customer experience workflows control how, where, platforms used.Inbenta. Supercharge customer experience AI. Learn .PRNewswireBy adding Generative AI, Inbenta aims cut companys content development timeline half, supercharging ability quickly develop customer service responses, chatbot scripts, helpful content pieces more. Leveraging Inbentas customer experience platform, companies able easily deploy track AI generated content responses chatbot, search, messenger, knowledge management customer experience tools.Importantly, providing choice ability control review delivery AI generated content, Inbenta helping companies deploy Generative AI safer responsible manner, allowing companies add layers human oversight review AI generated content.Inbentas integration gives companies option harness power Generative AI scalable responsible way, providing control, infrastructure oversight needed enterprise setting, said Melissa Solis, CEO Inbenta. Todays news represents massive leap forward Inbentas AI platform approach. By adding Generative AI, Inbenta helping companies deploy content faster improve customer experience, resolve customer service issues, providing novel way boost sales increase revenue. Most competitors industry bring force value choice Inbenta offers.Every company different policies comfort levels use Generative AI, Inbenta took thoughtful, compliancefocused approach applied flexibility control integration, said Adam Rivera, Chief Legal Officer Inbenta. Theres genuine concern market targeted Generative AI topics privacy, security, intellectual property accuracy. The integration Generative AI Inbentas platform thoughtfully help customers mitigate risks, address markets concerns, offering layered approach includes customer oversight.Inbentas integration gives companies option couple power Generative AIs Large Language Models LLMs Inbentas industryleading Conversational AI technology, supported Natural Language Processing NLP, NeuroSymbolic AI, crossindustry, 35 language Lexicon.To learn Inbentas Generative AI integration, click here.About Inbenta Founded 2005, Inbenta global AI platform purposebuilt optimize customer experience. The companys powerful platform combines use Natural Language Processing, NeuroSymbolic AI Generative AI digital support communication modules Chatbot, Knowledge, , Messenger delivering complete configurable solution enterprise. With headquarters Dallas, TX, regional offices U.S., Europe, Brazil Japan, Inbenta 1,000 global brands solution range industries, including: financial services, travel, ecommerce, telecom, utilities.View original content download multimedia: InbentaThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.8newsnow.com/news/national-news/could-ai-help-detect-more-cancers-from-mammograms/ | 2023-08-05T00:00:00 | en | Could AI help detect more cancers from mammograms? | KLAS |
Could AI help detect more cancers from mammograms? | KLAS
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National News
Could AI help detect more cancers from mammograms?
by: Nathaniel Weixel, The Hill
Posted: Aug 5, 2023 / 10:01 AM PDT
Updated: Aug 5, 2023 / 10:56 AM PDT
by: Nathaniel Weixel, The Hill
Posted: Aug 5, 2023 / 10:01 AM PDT
Updated: Aug 5, 2023 / 10:56 AM PDT
(The Hill) – An artificial intelligence (AI) analysis of mammograms detected more cancers than two breast radiologists working together, according to a new study, without increasing false positives and almost halving the radiologists’ workload.
Interim findings from the first randomized study investigating the use of AI in a national breast cancer screening program, published in the journal Lancet Oncology, suggested AI-supported screening detected 20 percent more cancers compared with the routine double reading of mammograms by two breast radiologists.
European guidelines recommend double reading of screening mammograms to ensure high sensitivity. The U.S. does not have the same standard, but like many other countries is experiencing a shortage of breast radiologists.
Breast cancer is the most common cancer among women in the U.S., accounting for about 30 percent of all new cancer cases in women each year.
COVID summer surge: These areas just saw hospitalizations triple
The study showed that AI use in detecting breast cancer is safe, and it supports the potential of the technology to improve screening efficacy and reduce the workload of radiologists. The AI reduced the mammogram reading workload by 44 percent.
“Taken together, the evidence suggests that use of AI could potentially benefit mammography screening by reducing the screen reading workload and the number of interval cancers, but randomized trials are needed to assess the efficacy of AI-supported screening,” the study concluded.
Previous studies have looked at using AI to diagnose breast cancer in mammograms, but they were retrospective, meaning the screenings had already been examined by radiologists.
The study’s co-author said it’s too early to start implementing AI in hospitals right now.
“These promising interim safety results should be used to inform new trials and program-based evaluations to address the pronounced radiologist shortage in many countries. But they are not enough on their own to confirm that AI is ready to be implemented in mammography screening,” Kristina Lång, an associate professor of radiology diagnostics at Lund University in Sweden, said in a statement.
The study examined mammograms of more than 80,000 women across Sweden between April 2021 and July 2022. Half of the women had a mammogram read by an AI program before it was examined by a radiologist, and the other half had mammograms read by two radiologists without the use of AI.
Brain-eating amoeba: Will the warming climate bring more cases?
Among the participants screened with AI, 244 cancers were detected, compared with 203 cancers in the non-AI group. The false positive rate was the same in both groups. Overall, AI-supported screening resulted in a cancer detection rate of six per 1,000 screened women compared to five per 1,000 for standard double reading without AI, the equivalent of detecting one additional cancer for every 1,000 women screened.
The final results will look at whether AI can reduce the number of interval cancers — cases detected between screenings — and whether the use of AI in screening is justified. But those findings are not expected for several years.
“The greatest potential of AI right now is that it could allow radiologists to be less burdened by the excessive amount of reading,” Lång said. “While our AI-supported screening system requires at least one radiologist in charge of detection, it could potentially do away with the need for double reading of the majority of mammograms easing the pressure on workloads and enabling radiologists to focus on more advanced diagnostics while shortening waiting times for patients.”
Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
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National News Could AI help detect cancers mammograms? by: Nathaniel Weixel, The Hill Posted: Aug 5, 2023 10:01 AM PDT Updated: Aug 5, 2023 10:56 AM PDT by: Nathaniel Weixel, The Hill Posted: Aug 5, 2023 10:01 AM PDT Updated: Aug 5, 2023 10:56 AM PDT The Hill An artificial intelligence AI analysis mammograms detected cancers breast radiologists working together, according new study, increasing false positives halving radiologists workload. Interim findings randomized study investigating use AI national breast cancer screening program, published journal Lancet Oncology, suggested AIsupported screening detected 20 percent cancers compared routine double reading mammograms breast radiologists. European guidelines recommend double reading screening mammograms ensure high sensitivity. The U.S. standard, like countries experiencing shortage breast radiologists. Breast cancer common cancer women U.S., accounting 30 percent new cancer cases women year. COVID summer surge: These areas saw hospitalizations triple The study showed AI use detecting breast cancer safe, supports potential technology improve screening efficacy reduce workload radiologists. The AI reduced mammogram reading workload 44 percent. Taken together, evidence suggests use AI potentially benefit mammography screening reducing screen reading workload number interval cancers, randomized trials needed assess efficacy AIsupported screening, study concluded. Previous studies looked AI diagnose breast cancer mammograms, retrospective, meaning screenings examined radiologists. The studys coauthor said early start implementing AI hospitals right now. These promising interim safety results inform new trials programbased evaluations address pronounced radiologist shortage countries. But confirm AI ready implemented mammography screening, Kristina Lng, associate professor radiology diagnostics Lund University Sweden, said statement. The study examined mammograms 80,000 women Sweden April 2021 July 2022. Half women mammogram read AI program examined radiologist, half mammograms read radiologists use AI. Braineating amoeba: Will warming climate bring cases? Among participants screened AI, 244 cancers detected, compared 203 cancers nonAI group. The false positive rate groups. Overall, AIsupported screening resulted cancer detection rate 1,000 screened women compared 1,000 standard double reading AI, equivalent detecting additional cancer 1,000 women screened. The final results look AI reduce number interval cancers cases detected screenings use AI screening justified. But findings expected years. The greatest potential AI right allow radiologists burdened excessive reading, Lng said. While AIsupported screening requires radiologist charge detection, potentially away need double reading majority mammograms easing pressure workloads enabling radiologists focus advanced diagnostics shortening waiting times patients. 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Read > Read > Next Read > Next story Cancel Read > Next story Cancel How freeze summer corn cob enjoy Cookware Cooking Tools 8 hours ago Want enjoy summer corn year round? Try freezing Heres freeze extra corn doesnt bad. Best Halloween makeup dont need toss Face Makeup 21 hours ago Halloween makeup doesnt use Halloween throw away. Try best Halloween makeup items use year round The Bath Body Works Halloween Collection Brushes Accessories 21 hours ago Spooky season coming, Bath Body Works ready Halloween collection. 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https://www.9news.com/article/news/nation-world/amazon-tests-new-tiktok-style-feature-on-feed/507-e76791a9-5da8-4b98-8918-2c3e19fa6049 | 2022-08-18T00:00:00 | en | Amazon testing new TikTok style feed on app, AI firm says | 9news.com |
Amazon testing new TikTok style feed on app, AI firm says | 9news.com
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Nation World
Amazon testing new TikTok-style feature on its app, AI firm says
The feature, called Inspire, allows customers to like, save and share posts of products, and purchase items directly from the feed.
Credit: AP
FILE - An Amazon logo appears on a delivery van, Oct. 1, 2020, in Boston.
Author: HALELUYA HADERO AP Business Writer
Published: 4:40 PM MDT August 17, 2022
Updated: 4:40 PM MDT August 17, 2022
WASHINGTON — Amazon appears to be getting the TikTok bug, joining other companies seeking to hold consumers' attention by introducing replicas of the popular social platform.
The e-commerce giant has been testing a feed on its app that enables shoppers to scroll through TikTok-like photos and videos of products posted by other users.
Using the feature, called Inspire, customers can like, save and share posts of products, and purchase items directly from the feed, according to Watchful Technologies, an Israeli-based artificial-intelligence firm that analyzes apps and has tracked the feature.
The test doesn’t mean Amazon will roll out the widget to the public in its current form — or at all. Alyssa Bronikowski, an Amazon spokesperson, declined to say if the company has plans to introduce the feature to all its customers. In a statement, Bronikowski said the company is “constantly testing new features to help make customers’ lives a little easier.”
The Wall Street Journal first reported on the test. Citing an anonymous source, the Journal also said the company is testing the feature among a small number of Amazon employees.
Amazon often experiments with new features, sometimes even targeting its tests to specific regions. Amid regulatory pressure about its private-label business, the company had been testing how to identify its brands in search results by tagging them with badges such as “Amazon brand” or “Exclusive to Amazon," the research firm Marketplace Pulse discovered earlier this year.
In its current form, the experimental TikTok-like feed mostly shows photos, said Daniel Buchuk, a researcher with Watchful Technologies. But if the feature is rolled out, Buchuk suspects the feed will be video-heavy as Amazon sellers create content to make it more engaging for customers.
Credit: AP
This August 2022 screenshot provided by Watchful.ai shows a feed Amazon is testing on its app that enables shoppers to scroll through TikTok-like photos and videos of products posted by other users. Using the feature, called Inspire, customers can like, save and share posts of products, and purchase items directly from the feed, according to Watchful Technologies, an Israeli-based artificial-intelligence firm that analyzes apps and has tracked the feature. (Watchful.ai via AP)
The corporate parents of Google and Facebook, the two biggest sellers in digital advertising, already have been pushing their own TikTok clones in bids to keep eyeballs glued to their services so they can continue to boost their revenue.
Google’s YouTube video service rolled a “Shorts” feature limited to clips of a minute or less last year in the U.S. after initially testing it in India during 2020. By June of this year, Google said YouTube Shorts was attracting more than 1.5 billion logged-in users each month, although analysts believe TikTok’s popularity is undercutting ad sales at the video site.
Those concerns were elevated by Google’s latest quarterly results, which revealed YouTube’s year-over-year growth in ad sales had slowed to its slowest pace since public disclosures of the site’s revenue began.
Meanwhile, Facebook now offers its own take on TikTok, a short-form video feature called Reels, on its Instagram app as well as its main social networking service, which are now operate as part of Meta Platforms. Earlier this year, Meta CEO Mark Zuckerberg said Reels accounted for more than 20% of the time that people spend on Instagram.
But it’s not clear that engagement is helping to drive ad sales after Meta recently reported its first year-over-year drop in quarterly revenue since Facebook went public a decade ago.
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| Amazon testing new TikTok style feed on app, AI firm says | Amazon testing new TikTok style feed app, AI firm says Skip Navigation Share Facebook Share Twitter Share SMS Share Email Navigation News Back Local Next Kyle Clark En Espaol Politics Voices Change Sports Health Business Education Nation World Features Latest News Stories 2 use force experts LoDo police shooting likely ruled justified Abrirn nuevo sitio estacionamiento seguro para personas sin hogar en Denver Weather Back Forecast Radar 10Day Closing Delays Maps Weather Science Traffic Travel Gas Prices Ski Conditions Latest Weather Stories First dusting snow falls Colorado mountains First dusting snow Colorado mountains Near Me VERIFY Watch Live : Right Now Denver, CO 84 Denver, CO Weather Closings En Espaol Next Kyle Clark Sports Coronavirus 9Wants Know Voices Change Advertise With Us Colorado Company BeOn9 Find 9NEWS Breaking News More Nation World Amazon testing new TikTokstyle feature app, AI firm says The feature, called Inspire, allows customers like, save share posts products, purchase items directly feed. Credit: AP FILE An Amazon logo appears delivery van, Oct. 1, 2020, Boston. Author: HALELUYA HADERO AP Business Writer Published: 4:40 PM MDT August 17, 2022 Updated: 4:40 PM MDT August 17, 2022 WASHINGTON Amazon appears getting TikTok bug, joining companies seeking hold consumers attention introducing replicas popular social platform. The ecommerce giant testing feed app enables shoppers scroll TikToklike photos videos products posted users. Using feature, called Inspire, customers like, save share posts products, purchase items directly feed, according Watchful Technologies, Israelibased artificialintelligence firm analyzes apps tracked feature. The test doesnt mean Amazon roll widget public current form all. Alyssa Bronikowski, Amazon spokesperson, declined company plans introduce feature customers. In statement, Bronikowski said company constantly testing new features help customers lives little easier. The Wall Street Journalfirst reported test. Citing anonymous source, Journal said company testing feature small number Amazon employees. Amazon experiments new features, targeting tests specific regions. Amid regulatory pressure privatelabel business, company testing identify brands search results tagging badges Amazon brand Exclusive Amazon, research firm Marketplace Pulse discovered earlier year. In current form, experimental TikToklike feed shows photos, said Daniel Buchuk, researcher Watchful Technologies. But feature rolled out, Buchuk suspects feed videoheavy Amazon sellers create content engaging customers. Credit: AP This August 2022 screenshot provided Watchful.ai shows feed Amazon testing app enables shoppers scroll TikToklike photos videos products posted users. Using feature, called Inspire, customers like, save share posts products, purchase items directly feed, according Watchful Technologies, Israelibased artificialintelligence firm analyzes apps tracked feature. Watchful.ai AP The corporate parents Google Facebook, biggest sellers digital advertising, pushing TikTok clones bids eyeballs glued services continue boost revenue. Googles YouTube video service rolled Shorts feature limited clips minute year U.S. initially testing India 2020. By June year, Google said YouTube Shorts attracting 1.5 billion loggedin users month, analysts believe TikToks popularity undercutting ad sales video site. Those concerns elevated Googles latest quarterly results, revealed YouTubes yearoveryear growth inad sales slowed slowest pace public disclosures sites revenue began. Meanwhile, Facebook offers TikTok,a shortform video feature called Reels, Instagram app main social networking service, operate Meta Platforms. Earlier year, Meta CEO Mark Zuckerberg said Reels accounted 20 time people spend Instagram. But clear engagement helping drive ad sales Meta recently reported yearoveryear drop quarterly revenue Facebook went public decade ago. Related Articles Snapchat rolling option let parents teens messaging Instagram hiding posts talk abortion Instagram tests AI, tools age verification Paid Advertisement More Videos Next 5 Example video title video In Other News RAW: Use force expert reviews LoDo Denver PD shooting footage Before You Leave, Check This Out Jobs Ad Choices EEO Public File Report FCC Online Public Inspection File Closed Caption Procedures Do Not Sell My Personal Information 2022 KUSATV. . KUSA like send push notifications latest news weather. Notifications turned anytime browser settings. No Thanks Allow | 2,022 | [
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https://www.abc15.com/sarah-silverman-joins-copyright-lawsuit-against-openai-meta | 2023-07-10T00:00:00 | en | Sarah Silverman joins copyright lawsuit against OpenAI, Meta |
Sarah Silverman joins copyright lawsuit against OpenAI, Meta
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Sarah Silverman joins copyright lawsuit against OpenAI, Meta
The comedian and author claims the companies use artificial intelligence software in a way that violates copyright law.
Richard Shotwell / Invision / AP
By:
Scripps News Staff
Posted at 9:11 AM, Jul 10, 2023
and last updated 2023-07-10 12:11:16-04
Comedian and author Sarah Silverman joined a class-action lawsuit against Meta and OpenAI, the parent company of ChatGPT. Silverman, Christopher Golden and Richard Kadrey claim the companies use artificial intelligence software that generates summaries of their copyrighted works. Lawyers for Silverman and the other authors provided numerous exhibits in their lawsuit, which was filed in the Northern District of California. The exhibit shows what happens when someone asks ChatGPT to "summarize in detail the first part of 'The Bedwetter' by Sarah Silverman." The program responds with details about the book. The lawsuit states that the program gets "some details wrong," but contends that "ChatGPT retains knowledge of particular works in the training dataset and is able to output similar textual content."SEE MORE: Study shows new tool detects AI-produced content with 99% accuracyIn the lawsuit against Meta, the authors claim the company operates an AI software program that works by "copying massive amounts of text from various sources," and then is able to "emit convincing simulations of natural written language."The plaintiffs are seeking an undisclosed amount of monetary damages. OpenAI and Meta have not commented on the lawsuits. SEE MORE: Lawsuit slams social media for forcing harmful content on teensTrending stories at Scrippsnews.comTwitter competitor Threads gets 100 million new users in 5 daysTikTok is joining the music streaming businessTwitter threatens to sue Meta over its newly launched Threads app
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| Sarah Silverman joins copyright lawsuit against OpenAI, Meta | Sarah Silverman joins copyright lawsuit OpenAI, Meta 1 weather alerts 1 closingsdelays Watch Now Watch Now 1 weather alerts 1 closingsdelays Menu site Watch Now Watch Now Close x Live Watch Alerts site Go Contests Weather 7Day Radar Hourly Forecast Forecasters Storm Shield App Severe Weather Alerts Traffic Gas Prices News Phoenix Metro Northeast Valley West Valley Southeast Valley Northern Arizona CentralSouth Arizona Estamos Contigo National News Videos Live Video ABC15 YouTube ABC Roku Investigations ABC15 Investigators Let Joe Know Joe Ducey Health Insider Entertainment Things Do The List Sports Arizona Sports Small Stars Sonoran Living Community Connection Marketplace Advertise With Us Home Pros Virtual Job Fair Your Health Matters Brand Spotlight Us Advertise Us News Releases Staff Bios Apps TV Listings Jobs CW61 Arizona Antenna TV Court TV LAFF Support Newsletters Sign OutManage Emails Apps Careers Weather Uplifting Arizona Operation Safe Roads Things To Do Investigations Health Insider Impact Earth Smart Shopper Let Joe Know CW61 Arizona Contests Quick links... Weather Uplifting Arizona Operation Safe Roads Things To Do Investigations Health Insider Impact Earth Smart Shopper Let Joe Know CW61 Arizona Contests 1 weather alerts 1 closingsdelays Heat relief resources amid excessive heat warnings, including free rides heat relief centers NewsNational NewsScripps News Actions Facebook Tweet Email Sarah Silverman joins copyright lawsuit OpenAI, Meta The comedian author claims companies use artificial intelligence software way violates copyright law. Richard Shotwell Invision AP By: Scripps News Staff Posted 9:11 AM, Jul 10, 2023 updated 20230710 12:11:1604 Comedian author Sarah Silverman joined classaction lawsuit Meta andOpenAI,the parent company ChatGPT.Silverman, Christopher Golden Richard Kadrey claim companies use artificial intelligence software generates summaries copyrighted works.Lawyers Silverman authors provided numerousexhibitsin lawsuit, filed Northern District California.The exhibit shows happens asks ChatGPT summarize The Bedwetter Sarah Silverman.The program responds details book.The lawsuit states program gets details wrong, contends ChatGPT retains knowledge particular works training dataset able output similar textual content.SEE MORE: Study shows new tool detects AIproduced content 99 accuracyIn lawsuit againstMeta, authors claim company operates AI software program works copying massive amounts text sources, able emit convincing simulations natural written language.The plaintiffs seeking undisclosed monetary damages.OpenAI Meta commented lawsuits.SEE MORE: Lawsuit slams social media forcing harmful content teensTrending stories Scrippsnews.comTwitter competitor Threads gets 100 million new users 5 daysTikTok joining music streaming businessTwitter threatens sue Meta newly launched Threads app Scripps News 2023 Report typo Sign Headlines Newsletter receive date information. signed receive Headlines Newsletter. Click manage Newsletters Read Scripps News News Weather Traffic Smart Shopper Let Joe Know Entertainment Sports Dont Waste Your Money Support Sitemap Privacy Center Journalism Ethics Guidelines Terms Use EEO Careers FCC Public Files FCC Public File FCC Application Accessibility Statement Closed Captioning Social abc15 abc15arizona abc15 Scripps Local Media 2023 Scripps Media, Give Light People Will Find Their Own Way | 2,023 | [
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https://www.actionnewsjax.com/news/technology/chatgpt-maker-openai/FZOLL2G4RLWCG35O3CNZCKQHBM/ | 2023-07-13T00:00:00 | en | ChatGPT-maker OpenAI signs deal with AP to license news stories – Action News Jax | ChatGPT-maker OpenAI signs deal with AP to license news stories – Action News Jax
SectionsWATCH91°WATCH News Video First Alert Weather Hurricane Center Investigates Sports Election 2024 Family Focus Florida Lottery Steals and Deals(Opens in new window) Share With UsNewsVote In Our PollPhoto GalleriesElection 2024Action News Jax SundayAction Button LinksNewsletter Sign-up(Opens in new window)Clark HowardVideoWatch Live: Action News Jax NOWAction News Jax 24/7 NewsWeather 24/7 StreamPodcastsSocial MediaWhat's on CBS47 & FOX30Gusto TVLaw & Crime: Rapper TrialFirst Alert WeatherHurricane CenterTalking the TropicsFirst Alert Doppler HDInteractive RadarFirst Alert Wx App(Opens in new window)Eclipse 2024Sky CamsHour by Hour7-Day ForecastWeekend ForecastBuresh BlogSunrise & Sunset ShotsShare With UsInvestigatesPriced Out Of JaxRestaurant ReportSend BenSportsAction Sports JaxJacksonville JaguarsCollege SportsTHE PLAYERS ChampionshipFriday Night BlitzDream 18Family FocusTenikka's Books for KidsCommunity CalendarPartnersGets RealSteals and DealsFirst Alert TrafficGas Prices(Opens in new window)FlightAware(Opens in new window)About UsContestsAction News Jax TeamContact UsMeTV on MyTVJax(Opens in new window)Jobs at Cox Media Group(Opens in new window)Submit EventsVisitor AgreementPrivacy PolicyMoreLocal Solutions(Opens in new window)Jax Home ExpertsAround TownAction News Jax NowResize:Drag to Resize VideoChatGPT-maker OpenAI signs deal with AP to license news storiesJuly 13, 2023 at 12:10 pm EDTExpandOpenAI AP FILE - The logo for OpenAI, the maker of ChatGPT, appears on a mobile phone, in New York, Tuesday, Jan. 31, 2023. ChatGPT-maker OpenAI and The Associated Press said Thursday that they've made a deal for the artificial intelligence company to license AP's archive of news stories. (AP Photo/Richard Drew, File) (Richard Drew)July 13, 2023 at 12:10 pm EDTNEW YORK — (AP) — ChatGPT-maker OpenAI and The Associated Press said Thursday that they've made a deal for the artificial intelligence company to license AP's archive of news stories.“The arrangement sees OpenAI licensing part of AP’s text archive, while AP will leverage OpenAI’s technology and product expertise,” the two organizations said in a joint statement.The price of the deal was not disclosed.OpenAI and other technology companies must ingest large troves of written works, such as books, news articles and social media chatter, to improve their AI systems known as large language models. Last year's release of ChatGPT has sparked a boom in “generative AI” products that can create new passages of text, images and other media.“Both organizations will benefit from each other’s established expertise in their respective industries, and believe in the responsible creation and use of these AI systems,” the statement said.The two companies said they are also examining “potential use cases for generative AI in news products and services,” though didn't give specifics.The AP doesn't currently use any generative AI in its news stories, but has used other forms of AI for nearly a decade, including to automate corporate earnings reports and recap some sporting events. It also runs a program that helps local news organizations incorporate AI into their operations.Copyright 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.Most Read‘It was just to be destructive:’ St. Johns County homeowners say amenity center was vandalizedJacksonville police investigating a ‘suspicious incident,’ looking for man and womanJacksonville police arrest man for leaving 6-month-old in car while shopping at BJ’sNassau baby dies after teen mom put what she thought was cocaine in bottle, was actually fentanylJacksonville Zoo hosting wine night with goats
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© 2023 Cox Media Group. This station is part of Cox Media Group Television. Learn about careers at Cox Media Group. By using this website, you accept the terms of our Visitor Agreement and Privacy Policy, and understand your options regarding Ad Choices. | ChatGPT-maker OpenAI signs deal with AP to license news stories | ChatGPTmaker OpenAI signs deal AP license news stories Action News Jax SectionsWATCH91WATCH News Video First Alert Weather Hurricane Center Investigates Sports Election 2024 Family Focus Florida Lottery Steals DealsOpens new window Share With UsNewsVote In Our PollPhoto GalleriesElection 2024Action News Jax SundayAction Button LinksNewsletter SignupOpens new windowClark HowardVideoWatch Live: Action News Jax NOWAction News Jax 247 NewsWeather 247 StreamPodcastsSocial MediaWhats CBS47 FOX30Gusto TVLaw Crime: Rapper TrialFirst Alert WeatherHurricane CenterTalking TropicsFirst Alert Doppler HDInteractive RadarFirst Alert Wx AppOpens new windowEclipse 2024Sky CamsHour Hour7Day ForecastWeekend ForecastBuresh BlogSunrise Sunset ShotsShare With UsInvestigatesPriced Out Of JaxRestaurant ReportSend BenSportsAction Sports JaxJacksonville JaguarsCollege SportsTHE PLAYERS ChampionshipFriday Night BlitzDream 18Family FocusTenikkas Books KidsCommunity CalendarPartnersGets RealSteals DealsFirst Alert TrafficGas PricesOpens new windowFlightAwareOpens new windowContestsAction News Jax Team UsMeTV MyTVJaxOpens new windowJobs Cox Media GroupOpens new windowSubmit EventsVisitor AgreementMoreLocal SolutionsOpens new windowJax Home ExpertsAround TownAction News Jax NowResize:Drag Resize VideoChatGPTmaker OpenAI signs deal AP license news storiesJuly 13, 2023 12:10 pm EDTExpandOpenAI AP FILE The logo OpenAI, maker ChatGPT, appears mobile phone, New York, Tuesday, Jan. 31, 2023. ChatGPTmaker OpenAI The Associated Press said Thursday theyve deal artificial intelligence company license APs archive news stories. AP PhotoRichard Drew, File Richard DrewJuly 13, 2023 12:10 pm EDTNEW YORK AP ChatGPTmaker OpenAI The Associated Press said Thursday theyve deal artificial intelligence company license APs archive news stories.The arrangement sees OpenAI licensing APs text archive, AP leverage OpenAIs technology product expertise, organizations said joint statement.The price deal disclosed.OpenAI technology companies ingest large troves written works, books, news articles social media chatter, improve AI systems known large language models. Last years release ChatGPT sparked boom generative AI products create new passages text, images media.Both organizations benefit established expertise respective industries, believe responsible creation use AI systems, statement said.The companies said examining potential use cases generative AI news products services, didnt specifics.The AP doesnt currently use generative AI news stories, forms AI nearly decade, including automate corporate earnings reports recap sporting events. It runs program helps local news organizations incorporate AI operations. 2023 The Associated Press. . This material published, broadcast, rewritten redistributed permission.Most ReadIt destructive: St. Johns County homeowners amenity center vandalizedJacksonville police investigating suspicious incident, looking man womanJacksonville police arrest man leaving 6monthold car shopping BJsNassau baby dies teen mom thought cocaine bottle, actually fentanylJacksonville Zoo hosting wine night goats NewsLocalVideoFirst Alert TrafficFirst Alert WeatherInteractive RadarFirst Alert Doppler HDWhats CBS47 FOX30WFOX Public FileWFOX EEO StatementWFOX FCC ApplicationsWJAX Public FileWJAX FCC ApplicationsJobs Cox Media Group Action News Jax facebook feedOpens new windowAction News Jax twitter feedOpens new windowAction News Jax youtube feedOpens new window 2023 Cox Media Group. This station Cox Media Group Television. Learn careers Cox Media Group. By website, accept terms Visitor Agreement , understand options Ad Choices. | 2,023 | [
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https://www.adomonline.com/nigerian-music-producer-uses-ai-to-create-afrobeats-album-video/ | 2023-08-21T00:00:00 | en | Nigerian music producer uses AI to create Afrobeats album [Video] |
Nigerian music producer uses AI to create Afrobeats album [Video]
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Home Entertainment Nigerian music producer uses AI to create Afrobeats album
EntertainmentEntertainment NewsMusic Nigerian music producer uses AI to create Afrobeats album [Video]
August 21, 2023 2:30 pm
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When artificial intelligence (AI) apps started spreading in Nigeria’s music industry, Eclipse Nkasi thought his days as a producer were numbered.
He took a step back, saw there were opportunities as well as threats and used the technology to generate a whole new Afrobeats album in his studio on the outskirts of Lagos.
“It (AI) doesn’t have to replace what we have. It gives people a new experience … and that’s how I believe AI is really going to shake things,” Nkasi told Reuters.
In the past, it would have taken him thousands of dollars and up to three months to compose the tracks, recruit the musicians, record the performances, knock them into shape in a traditional studio and get them out to fans.
This one took about three days and $500.
Nkasi and three friends switched on OpenAI’s ChatGPT programme and set it to work helping them create the nine-track album “Infinite Echoes”.
They asked it to auto-generate songs lyrics and song titles – including “God Whispers”, “Love Tempo”, and “Dream Chaser”. Then they modified the words themselves to fit into their chosen theme – a struggling artist who will not give up their passion to create music.
Then they used another AI tool to generate the tunes. Nkasi recorded some vocals and fed them into yet another app – which transformed his vocals into the voice of the album’s generated singer.
That virtual “singer” is called Mya Blue who appears in front of her audience online as a computer animation.
“There are certain things that will become obsolete” due to AI, Nkasi said. But it should also create opportunities for artists to reinvent themselves and do their work better and quicker, he added.
The technology is already transforming the industry and could have a positive impact on production values and other technical sides to the recording process, said Lagos-based music critic Omotolani Alake.
But there are still lots of uncertainties and areas, including copyright, that need to be considered and developed, he added. “We are at the very beginning.”
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| Nigerian music producer uses AI to create Afrobeats album [Video] | Nigerian music producer uses AI create Afrobeats album [Video] Sign Join Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile RealEstate Obituary World Relationships Travel Election HQ Sign WelcomeLog account username password Forgot password? Create account Sign Welcome account email username A password emailed you. Password recovery Recover password email Sign JoinLive TV Live Radio Sign Welcome Log account username password Forgot password? Get help Create account Create account Welcome account email username A password emailed you. Password recovery Recover password email A password emailed you. Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile RealEstate Obituary World Relationships Travel Election HQ Home Entertainment Nigerian music producer uses AI create Afrobeats album EntertainmentEntertainment NewsMusic Nigerian music producer uses AI create Afrobeats album [Video] August 21, 2023 2:30 pm Facebook WhatsApp Twitter Telegram Email Pinterest Print When artificial intelligence AI apps started spreading Nigerias music industry, Eclipse Nkasi thought days producer numbered. He took step back, saw opportunities threats technology generate new Afrobeats album studio outskirts Lagos. It AI doesnt replace have. It gives people new experience thats I believe AI going shake things, Nkasi told Reuters. In past, taken thousands dollars months compose tracks, recruit musicians, record performances, knock shape traditional studio fans. This took days 500. Nkasi friends switched OpenAIs ChatGPT programme set work helping create ninetrack album Infinite Echoes. They asked autogenerate songs lyrics song titles including God Whispers, Love Tempo, Dream Chaser. Then modified words fit chosen theme struggling artist passion create music. Then AI tool generate tunes. Nkasi recorded vocals fed app transformed vocals voice albums generated singer. That virtual singer called Mya Blue appears audience online animation. There certain things obsolete AI, Nkasi said. But create opportunities artists reinvent work better quicker, added. The technology transforming industry positive impact production values technical sides recording process, said Lagosbased music critic Omotolani Alake. But lots uncertainties areas, including copyright, need considered developed, added. We beginning. MORE: Burning Issues: Niger coup: NPP lose 2024 election Maj. Oduro Ghana Meteo sends weather warning; check 28yearold lady mysteriously dies visiting boyfriend Sehwi Mpomam TAGSAfrobeatsAIalbumMusic ProducerNigeria Help reunite longlost sister Obra Adom TV 210823 Health Tips: Hypertension In Pregnancy Badwam Adom TV 210823 Adepam Season 3: Charly, Gunjan evicted competition reaches week 210823 If cook boyfriend, youre desperate Kafui Danku shorts Controversy Spanish FA president kisses female player shorts Accra traders unhappy Ghanas dwindling economy shorts Agenda 111: Health Advisor Akuffo Addo calls contract termination 210823 North East Region Floods: Death toll climbs 8 floods expected 210823 Dennis Adu RELATED ARTICLESMORE FROM AUTHOR International Lady killed, womb removed nightclub outing Football 2023 WWC: Fifpro helping Nigerias women bonus row Football 2023 WWC: Nigeria tournament penalty shootout defeat England Football As happened: Nigeria qualify 16 2023 WWC Football 2023 WWC: Nigeria come beat cohosts Australia Football 2023 WWC: Nigeria hold Canada draw opener Most Popular Burning Issues: Niger coup: NPP lose 2024 election Maj. Oduro Ghana Meteo sends weather warning; check 28yearold lady mysteriously dies visiting boyfriend Sehwi Mpomam The final resting place Rev Kwadwo Boakye [Photos] Widowed 2000 raising 6 daughters; story NPPs Frances Essiam This father told 13yrold girl sleeping [Watch] Pentecost Church members involved accident; dead, injured Akumaa Mama Zimbi opens hair loss headgear Popular journalist passes List corrupt institutions Ghana 2021 UNODC data Download Apps Podcast Google Podcast TuneIn iTunes Spotify Newsletter indicates required Email Address First Name Last Name ABOUT news, politics, business, sports, entertainment, lifestyle website. We provide latest breaking news content straight motherland Ghana countries beyond. us: info US 2020 The Multimedia Group | 2,023 | [
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https://www.advantagenews.com/news/local/u-of-i-professor-addresses-artificial-intelligence/article_fc847f9a-06e1-11ee-9822-1fe0d8d567a2.html | 2023-06-11T00:00:00 | en | U of I professor addresses artificial intelligence | Local News | advantagenews.com |
U of I professor addresses artificial intelligence | Local News | advantagenews.com
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U of I professor addresses artificial intelligence
By Kevin Bessler - Illinois Radio Network
Jun 11, 2023
5 hrs ago
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A University of Illinois professor is joining scholars around the world highlighting the potential risks of artificial intelligence, or AI. Robert Brunner, associate dean for innovation and chief disruption officer at the U of I Gies College of Business, joined a group of more than 350 experts who signed a joint statement urging the world to take a step back and consider the realities of the technology.Brunner considers himself an optimist and believes AI can be used for the greater good.
“There are so many wonderful opportunities about personalized medicine and new drug discoveries that are possible because AI is so powerful,” said Brunner to The Center Square. “It can help us evaluate all these potential drug combinations in ways we never have been able to do before.”OpenAI’s ChatGPT, a well-known chatbot, is grabbing the world’s attention because it offers essay-like answers to prompts from users. OpenAI CEO Sam Altman, who also signed the statement, is on a global tour discussing AI.“We face serious risk,” said Altman. “The challenge that the world has is how we’re going to manage those risks and make sure we still get to enjoy those tremendous benefits.”Brunner believes the initial risks involve the country’s workforce. “And whether that is replacing part of the work you do on a daily basis, whether that’s allowing companies to reduce headcount and still trying to make the same level of productivity,” said Brunner. Some AI experts are calling for increased scrutiny and potential regulations on the technology, but Brunner said we shouldn't be solely focused on the worst possible outcomes and align AI development with our core human values.
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| U of I professor addresses artificial intelligence | U I professor addresses artificial intelligence Local News Skip main content You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home Us Pay My Bill Download W9 Forms Advertise News Local News Press Releases Announcements Sports Local Sports Sports Broadcast Schedule Obituaries Submit Obit Archive AdVantage Print Archive Archive Scholar Athletes Opinion Columnists Letters Editor Secret Diner Events Listen Lets Talk Big Z Morning Show Business Over Brew High School Sports PlaybyPlay Sports Talk Riverbend Talent Recovery Uncensored Smash Daily Outdoors Show Evangelical Church Service My Mix 94.3 WBGZ 107.1 WBGZ Program Schedule Site search 65 Rain Alton, IL 62002 Today Cloudy periods rain. High 70F. Winds N 10 20 mph. Chance rain 100. Rainfall quarter inch.. Tonight Some passing clouds. Low 52F. Winds NNW 10 15 mph. Updated: June 11, 2023 @ 9:44 Full Forecast Site search Toggle navigation Open user controls Log In Using Your Account Log In Dont account? Sign Up Today My Account Dashboard Profile Saved items Logout My Mix 94.3 WBGZ 107.1 Logo Us Pay My Bill Download W9 Forms Advertise Suggestion Box News Local News Press Releases Announcements Births Engagements Weddings Anniversaries Sports Local Sports Sports Broadcast Schedule Obituaries Local Obituaries Submit Obit Archive AdVantage Print Archive Archive Scholar Athletes Opinions Columnists Heston Life Restoring Soul Talk Town Beyond The Fray Secret Diner Letters Editor Events Listen Lets Talk Big Z Morning Show Business Over Brew Riverbend Talent High School Sports PlaybyPlay Sports Talk Recovery Uncensored Outdoors Show Coach Speak Evangelical Church Service WBGZ Program Schedule Share This Facebook Twitter WhatsApp SMS Email U I professor addresses artificial intelligence By Kevin Bessler Illinois Radio Network Jun 11, 2023 5 hrs ago Comments Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter WhatsApp SMS Email Print Copy article link Save A University Illinois professor joining scholars world highlighting potential risks artificial intelligence, AI.Robert Brunner, associate dean innovation chief disruption officer U I Gies College Business, joined group 350 experts signed jointstatementurging world step consider realities technology.Brunner considers optimist believes AI greater good. There wonderful opportunities personalized medicine new drug discoveries possible AI powerful, said Brunner The Center Square. It help evaluate potential drug combinations ways able before.OpenAIs ChatGPT, wellknown chatbot, grabbing worlds attention offers essaylike answers prompts users.OpenAI CEO Sam Altman, signed statement, global tour discussing AI.We face risk, said Altman. The challenge world going manage risks sure enjoy tremendous benefits.Brunner believes initial risks involve countrys workforce.And replacing work daily basis, thats allowing companies reduce headcount trying level productivity, said Brunner.Some AI experts calling increased scrutiny potential regulations technology, Brunner said shouldnt solely focused worst possible outcomes align AI development core human values. Facebook Twitter WhatsApp SMS Email Print Copy article link Save .. 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https://www.ai-online.com/2022/11/here-powers-hands-free-driving-for-bmw/ | 2022-11-09T00:00:00 | en | HERE powers hands-free driving for BMW - AI Online - |
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HERE powers hands-free driving for BMW
Nov 2022
Nick Palmen
HERE Technologies, the leading location data and technology platform, today announced the BMW Group is utilizing the HERE HD Live Map, HERE’s high-definition map, to enable hands-free driving in the United States and Canada. HERE is one of the world’s first companies to provide high-definition maps for Level 2+ automated driving capabilities in series production vehicles. This is the result of a long-standing collaboration between BMW and HERE on next-generation mapping capabilities.
7 Series is the first BMW series production vehicle to use HERE HD Live Map for hands-free driving
The BMW 7 Series is the premium automaker’s first production vehicle to launch with SAE Level 2+ automated functionalities at a maximum speed of 80 mph / 130 km/h. This function enables hands-free driving on interstates and highways, provided drivers remain focused and ready to take control. The HERE HD Live Map will be integrated into additional BMW models as automated driving capabilities increase across vehicles, roadways and regions.
HERE HD Live Map a key component to automated driving safety and user comfort
The HERE HD Live Map consists of rich, highly accurate and fresh layers of data to support the vehicle in knowing exactly where it is on the road, and what road features lie ahead. The lane-level data serves as a redundant source of information to the onboard sensors, providing additional safety assurances for the system. HERE HD Live Map helps a vehicle to proactively adjust its behavior to upcoming road characteristics.
“A digital HD map is essential for highly automated driving. HERE HD Live Map is rich and reliable: it provides road geometry, route profile and traffic signs – all on a global scale,” said Dr. Nicolai Martin, Senior Vice President of Development Automated Driving at BMW Group. “We have been working with HERE for many years to bring highly automated driving to market, and we are now thrilled to see the result of our collaboration finally come to life. Together, we are going one step further in delivering on our promise to provide a superior driving experience.”
“We’re delighted to see our HERE HD Live Map enable automated driving at Level 2+ for BMW series production vehicles. This collaboration demonstrates the value of maps for highly automated driving. We look forward to supporting the expansion of Level 2+ to all types of roads, everywhere in the world,” said Fred Hessabi, Executive Vice President and Chief Customer Officer at HERE Technologies.
BMW 7 Series utilizes Predictive Routing and HERE Real-Time Traffic
The BMW 7 Series is also the first vehicle to deploy HERE Predictive Routing, a cloud-based routing functionality that learns individual driving patterns to propose more personalized journeys. In addition, the BMW 7 Series uses HERE Real-Time Traffic across 70 countries. The service delivers drivers detailed information on traffic congestion with lane-level precision and potential road hazards ahead, with auto re-routing capabilities, helping drivers stay safe and save time.
About HERE Technologies
HERE, the leading location data and technology platform, moves people, businesses and cities forward by harnessing the power of location. By leveraging our open platform, we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. To learn more about HERE, please visit www.here.com and http://360.here.com
About the BMW Group
With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises 31 production and assembly facilities in 15 countries; the company has a global sales network in more than 140 countries. In 2020, the BMW Group sold over 2.3 million passenger vehicles and more than 169,000 motorcycles worldwide. The profit before tax in the financial year 2020 was €5.222 billion on revenues amounting to €98.990 billion. As of 31 December 2020, the BMW Group had a workforce of 120,726 employees. The success of the BMW Group has always been based on long-term thinking and responsible action. The company set the course for the future at an early stage and consistently makes sustainability and efficient resource management central to its strategic direction, from the supply chain through production to the end of the use phase of all products.
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| HERE powers hands-free driving for BMW | HERE powers handsfree driving BMW AI Online Skip content AI Online Ai INNOVATION, SINCE 1895 Primary Menu About Archives Library Gallery Network Suppliers Engineering Design Purchasing Logistics Fuels Vehicle Systems Exterior Interior Chassis Powertrain Electronic Advertise Custom Cover Ai Sponsorship 100 Satisfaction Guarantee Gallery Our Clients Reviews Investor Relations for: Zoom Meeting Engineering Design HERE powers handsfree driving BMW Nov 2022 Nick Palmen HERE Technologies, leading location data technology platform, today announced BMW Group utilizing HERE HD Live Map, HEREs highdefinition map, enable handsfree driving United States Canada. HERE worlds companies provide highdefinition maps Level 2 automated driving capabilities series production vehicles. This result longstanding collaboration BMW HERE nextgeneration mapping capabilities. 7 Series BMW series production vehicle use HERE HD Live Map handsfree driving The BMW 7 Series premium automakers production vehicle launch SAE Level 2 automated functionalities maximum speed 80 mph 130 kmh. This function enables handsfree driving interstates highways, provided drivers remain focused ready control. The HERE HD Live Map integrated additional BMW models automated driving capabilities increase vehicles, roadways regions. HERE HD Live Map key component automated driving safety user comfort The HERE HD Live Map consists rich, highly accurate fresh layers data support vehicle knowing exactly road, road features lie ahead. The lanelevel data serves redundant source information onboard sensors, providing additional safety assurances system. HERE HD Live Map helps vehicle proactively adjust behavior upcoming road characteristics. A digital HD map essential highly automated driving. HERE HD Live Map rich reliable: provides road geometry, route profile traffic signs global scale, said Dr. Nicolai Martin, Senior Vice President Development Automated Driving BMW Group. We working HERE years bring highly automated driving market, thrilled result collaboration finally come life. Together, going step delivering promise provide superior driving experience. Were delighted HERE HD Live Map enable automated driving Level 2 BMW series production vehicles. This collaboration demonstrates value maps highly automated driving. We look forward supporting expansion Level 2 types roads, world, said Fred Hessabi, Executive Vice President Chief Customer Officer HERE Technologies. BMW 7 Series utilizes Predictive Routing HERE RealTime Traffic The BMW 7 Series vehicle deploy HERE Predictive Routing, cloudbased routing functionality learns individual driving patterns propose personalized journeys. In addition, BMW 7 Series uses HERE RealTime Traffic 70 countries. The service delivers drivers detailed information traffic congestion lanelevel precision potential road hazards ahead, auto rerouting capabilities, helping drivers stay safe save time. About HERE Technologies HERE, leading location data technology platform, moves people, businesses cities forward harnessing power location. By leveraging open platform, empower customers achieve better outcomes helping city manage infrastructure business optimize assets guiding drivers destination safely. To learn HERE, visit About BMW Group With brands BMW, MINI, RollsRoyce BMW Motorrad, BMW Group worlds leading premium manufacturer automobiles motorcycles provides premium financial mobility services. The BMW Group production network comprises 31 production assembly facilities 15 countries; company global sales network 140 countries. In 2020, BMW Group sold 2.3 million passenger vehicles 169,000 motorcycles worldwide. The profit tax financial year 2020 5.222 billion revenues amounting 98.990 billion. As 31 December 2020, BMW Group workforce 120,726 employees. The success BMW Group based longterm thinking responsible action. The company set course future early stage consistently makes sustainability efficient resource management central strategic direction, supply chain production end use phase products. Previous postsThermal management BEVs: Immersion cooling batteriesRavin Artificial Intelligence vehicle inspection comes dealer floorElectric Vehicles powered Solid State Batteries 10 years away mass production, says StoreDot Next postsCabot Corporation Launches New LITXR 93 Series Conductive Carbon Additives Lithiumion Battery ApplicationsSolvay Orbia Join Forces Create Joint Venture North America Supply Critical Materials Battery MarketDecisiv Surpasses 25 Million Service Event Milestone SRM Platform Share Your News Ai Tue. 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Start Zoom meeting You missed Engineering Design 3 min read TE Connectivity lends industry engineering expertise TUC.technology development help create nextgeneration modular interior applications vehicles future 1 second ago John Larkin Engineering Design 2 min read FPT Software Launches MaaZ A suite AUTOSAR Safety Efficiency Solutions 2 mins ago John Larkin Engineering Design 3 min read Decisiv Surpasses 25 Million Service Event Milestone SRM Platform 3 mins ago John Larkin Engineering Design 3 min read Solvay Orbia Join Forces Create Joint Venture North America Supply Critical Materials Battery Market 4 mins ago John Larkin About Automotive Industries Ai highvalue sponsorship leadgeneration programs Supplier Network Automotive Industries 100 Year Library Download Ais App for: Share Your News Ai Twitter Linkedin Automotive Industries | 2,022 | [
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https://www.ajc.com/news/nation-world/mayor-suarez-launches-an-artificial-intelligence-chatbot-for-his-presidential-campaign/ODCU3Z5MVVHF7HMADNEGMBYQWM/ | 2023-07-05T00:00:00 | en | Mayor Suarez launches an artificial intelligence chatbot for his presidential campaign | Mayor Suarez launches an artificial intelligence chatbot for his presidential campaign
BreakingNewsLin Wood, outspoken Trump defender and libel lawyer, gives up law licenseAJC - Logo - MainAJC Peachtree Road RaceThe DancerAtlanta BravesThings to DoTrump Georgia InvestigationLocal NewsSportsOpinionePaper85° AJC - Logo - MainNewsAll NewsGeorgia NewsBreaking NewsLocal NewsBusinessEducationWeatherTrafficInspire AtlantaCOVID-19 NewsCrime & Public SafetyNational & World NewsObituariesAJC JobsPoliticsAll PoliticsGeorgia Election 2023LegislatureTrump Georgia InvestigationPolitically Georgia PodcastPatricia MurphyPolitical InsiderJamie DupreeNational PoliticsTake ActionLegislative NavigatorLocal NewsAll County NewsAlpharettaDunwoodyRoswellSandy SpringsIntown AtlantaClayton CountyCobb CountyGwinnett CountyDeKalb CountyNorth Fulton CountySouth Fulton CountyInvestigationsAll InvestigationsData JournalismDangerous DwellingsUnprotected: Senior CareCensus 2020The Imperfect AlibiDoctors & Sex AbuseAhmaud Arbery CaseBreakdown PodcastOpinionAll OpinionAJC ColumnistsReaders WriteGet SchooledMike LuckovichTorpy at LargePatricia MurphyReal Life with Nedra RhoneAJC Power PollContact the AJC Editorial BoardAJC PodcastsAll AJC PodcastsBreakdownBow Tie ChroniclesPolitically GeorgiaBraves ReportGo AtlantaSouthern Fried SoccerIn ContextHawks ReportThe Voices of KingHBCU JourneysThings to DoAll Things to DoEvents in AtlantaGeorgia Entertainment SceneSummer AdventuresFlashback PhotosPuzzles & GamesGo Atlanta PodcastAJC Peachtree Road RaceAJC Photo GalleriesAJC VideosAll AJC PodcastsFoodAll Food NewsFood & RecipesRestaurant NewsDrink SceneDining GuideAt Home With Atlanta ChefsAtlanta Culinary JourneysLifeAll LifeAtlanta Living & ArtsTravelBlack History MonthHome & GardenUnapologetically ATLHealthCelebrity BuzzCelebrationsPulseDaily SavingsClassifiedsSportsAll SportsAtlanta BravesGeorgia BulldogsAJC Super 11Atlanta FalconsGeorgia TechAtlanta UnitedAtlanta HawksAtlanta DreamHigh School SportsState Sports ReportAJC Sports PodcastsAboutHelp CenterAbout the Atlanta Journal-ConstitutionNewsroom Ethics CodeCareersArchivePress OnDonateContact UsContact UsSend a News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsAJC LiveDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIE/Newspapers in Education© 2023 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Terms of Use, Privacy Policy, CCPA, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.Mayor Suarez launches an artificial intelligence chatbot for his presidential campaignCredit: APCredit: APNational & World NewsBy ALI SWENSON – Associated Press1 hour agoXA super PAC supporting Miami Mayor Francis Suarez’s run for the Republican presidential nomination has launched an artificial intelligence chatbot to answer questions about himNEW YORK (AP) — A super PAC supporting Miami Mayor Francis Suarez 's run for the Republican presidential nomination has launched an artificial intelligence chatbot to answer questions about him, marking yet another example of how generative AI tools are being used in 2024 presidential campaigns.The bot unveiled Wednesday by SOS America PAC listens to a user's questions and matches them to video answers, created with an AI-powered avatar made to look and sound like Suarez.“Hi, I’m AI Francis Suarez,” the bot says to introduce itself, its mouth moving in a way that's not quite human. “You’ve probably heard that my namesake, conservative Miami Mayor Francis Suarez, is running for president. I’m here to answer questions you may have about Mayor Suarez’s proven agenda for economic prosperity, cutting spending and supporting our police. So, how can I help?”The tool is powered by VideoAsk, a product created by the software company Typeform that advertises its use in recruiting and sales. The product's website says clients can create “video funnels” that send visitors down different pathways depending on the questions they ask, allowing users to “choose their own adventure.”The chatbot doesn't appear to answer a user's actual questions on the spot; instead, it directs them to a video on a topic in Suarez's platform.When asked Suarez's plan on immigration, for example, the bot starts playing a 55-second video about “Mayor Suarez's Miami Model” that discusses various topics including “economic prosperity in Miami,” unemployment rates, job creation, homicide rates and homelessness.When asked if Suarez would support Trump as the GOP nominee, however, the bot turns to a computer-generated caricature identifying itself as “AI Ron DeSantis.” The caricature, made to resemble the Florida governor, says Suarez is concerned with “saving America’s economy, supporting our police officers” while DeSantis thinks “the single greatest threat to American families today” is “Mickey Mouse, yes Mickey Mouse - run for your lives!”Some questions stump the bot, prompting a screen that reads, “Sorry, I did not understand...”The chatbot joins other examples of 2024 candidates using generative AI tools in new ways in their campaigns.Last month, DeSantis' campaign released a video on social media that used images generated by artificial intelligence to show former President Donald Trump hugging infectious disease expert Dr. Anthony Fauci.And in April, the Republican National Committee released a dystopian campaign ad meant to show the future if President Joe Biden is re-elected, created entirely with AI-generated images.While artificial intelligence has been used before in political campaigning, AI tools have improved dramatically in recent years, making it faster, cheaper and easier to create images, videos or blocks of text from scratch.While the tools can streamline tedious tasks and create innovative ad campaigns, experts warn that they can also be used to churn out harmful and believable disinformation meant to influence elections.SOS America PAC and Typeform didn't immediately respond to inquiries requesting more information about Suarez's chatbot.___Associated Press writer Meg Kinnard in Columbia, South Carolina, contributed to this report.___The Associated Press receives support from several private foundations to enhance its explanatory coverage of elections and democracy. See more about AP's democracy initiative here. The AP is solely responsible for all content.Credit: APCredit: APEditors' PicksCredit: APBREAKING: Lin Wood, outspoken Trump defender and libel lawyer, gives up law license1h agoAtlanta ‘mastermind’ behind $10M Amazon fraud gets 16-year prison sentence19m agoCredit: Channel 2 Action NewsMother of girl found decaying in DeKalb closet released from hospital, jailed2h agoCredit: John Spink‘Senseless act’: 2-year-old paralyzed from waist down after DeKalb shooting3h agoCredit: John Spink‘Senseless act’: 2-year-old paralyzed from waist down after DeKalb shooting3h agoCredit: APTrump posted what he said was Obama's address, prosecutors say3h agoThe LatestCredit: AP LA County sheriff's department calls video of deputy tackling woman 'disturbing,' opens...7m agoStrong demand drives US new vehicle sales higher in the first half of the year13m agoNorfolk Southern says other companies should share blame in fiery Ohio derailment13m agoFeaturedCredit: [email protected] ranked as a top state for early voting turnout10h agoCheck your results from the AJC Peachtree Road Race11h agoGeorgia Trump investigation: We’re still waiting. Listen to the ‘Breakdown’ podcast12h agoAJC - Logo - Main© 2023 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Terms of Use, Privacy Policy, CCPA, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.AboutHelp CenterAbout the Atlanta Journal-ConstitutionNewsroom Ethics CodeCareersArchivePress OnDonateContact UsContact UsSend a News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsAJC LiveDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIE/Newspapers in Education© 2023 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Terms of Use, Privacy Policy, CCPA, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.Back to TopCookie Settings | Mayor Suarez launches an artificial intelligence chatbot for his presidential campaign | Mayor Suarez launches artificial intelligence chatbot presidential campaign BreakingNewsLin Wood, outspoken Trump defender libel lawyer, gives law licenseAJC Logo MainAJC Peachtree Road RaceThe DancerAtlanta BravesThings DoTrump Georgia InvestigationLocal NewsSportsOpinionePaper85 AJC Logo MainNewsAll NewsGeorgia NewsBreaking NewsLocal NewsBusinessEducationWeatherTrafficInspire AtlantaCOVID19 NewsCrime Public SafetyNational World NewsObituariesAJC JobsPoliticsAll PoliticsGeorgia Election 2023LegislatureTrump Georgia InvestigationPolitically Georgia PodcastPatricia MurphyPolitical InsiderJamie DupreeNational PoliticsTake ActionLegislative NavigatorLocal NewsAll County NewsAlpharettaDunwoodyRoswellSandy SpringsIntown AtlantaClayton CountyCobb CountyGwinnett CountyDeKalb CountyNorth Fulton CountySouth Fulton CountyInvestigationsAll InvestigationsData JournalismDangerous DwellingsUnprotected: Senior CareCensus 2020The Imperfect AlibiDoctors Sex AbuseAhmaud Arbery CaseBreakdown PodcastOpinionAll OpinionAJC ColumnistsReaders WriteGet SchooledMike LuckovichTorpy LargePatricia MurphyReal Life Nedra RhoneAJC Power Poll AJC Editorial BoardAJC PodcastsAll AJC PodcastsBreakdownBow Tie ChroniclesPolitically GeorgiaBraves ReportGo AtlantaSouthern Fried SoccerIn ContextHawks ReportThe Voices KingHBCU JourneysThings DoAll Things DoEvents AtlantaGeorgia Entertainment SceneSummer AdventuresFlashback PhotosPuzzles GamesGo Atlanta PodcastAJC Peachtree Road RaceAJC Photo GalleriesAJC VideosAll AJC PodcastsFoodAll Food NewsFood RecipesRestaurant NewsDrink SceneDining GuideAt Home With Atlanta ChefsAtlanta Culinary JourneysLifeAll LifeAtlanta Living ArtsTravelBlack History MonthHome GardenUnapologetically ATLHealthCelebrity BuzzCelebrationsPulseDaily SavingsClassifiedsSportsAll SportsAtlanta BravesGeorgia BulldogsAJC Super 11Atlanta FalconsGeorgia TechAtlanta UnitedAtlanta HawksAtlanta DreamHigh School SportsState Sports ReportAJC Sports PodcastsAboutHelp CenterAbout Atlanta JournalConstitutionNewsroom Ethics CodeCareersArchivePress OnDonate Us UsSend News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsAJC LiveDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIENewspapers Education 2023 The Atlanta JournalConstitution. . By website, accept terms Terms Use, , CCPA, understand options Ad Choices.Learn Careers Cox Enterprises.Mayor Suarez launches artificial intelligence chatbot presidential campaignCredit: APCredit: APNational World NewsBy ALI SWENSON Associated Press1 hour agoXA super PAC supporting Miami Mayor Francis Suarezs run Republican presidential nomination launched artificial intelligence chatbot answer questions himNEW YORK AP A super PAC supporting Miami Mayor Francis Suarez run Republican presidential nomination launched artificial intelligence chatbot answer questions him, marking example generative AI tools 2024 presidential campaigns.The bot unveiled Wednesday SOS America PAC listens users questions matches video answers, created AIpowered avatar look sound like Suarez.Hi, Im AI Francis Suarez, bot says introduce itself, mouth moving way thats human. Youve probably heard namesake, conservative Miami Mayor Francis Suarez, running president. Im answer questions Mayor Suarezs proven agenda economic prosperity, cutting spending supporting police. So, I help?The tool powered VideoAsk, product created software company Typeform advertises use recruiting sales. The products website says clients create video funnels send visitors different pathways depending questions ask, allowing users choose adventure.The chatbot doesnt appear answer users actual questions spot; instead, directs video topic Suarezs platform.When asked Suarezs plan immigration, example, bot starts playing 55second video Mayor Suarezs Miami Model discusses topics including economic prosperity Miami, unemployment rates, job creation, homicide rates homelessness.When asked Suarez support Trump GOP nominee, however, bot turns computergenerated caricature identifying AI Ron DeSantis. The caricature, resemble Florida governor, says Suarez concerned saving Americas economy, supporting police officers DeSantis thinks single greatest threat American families today Mickey Mouse, yes Mickey Mouse run livesSome questions stump bot, prompting screen reads, Sorry, I understand...The chatbot joins examples 2024 candidates generative AI tools new ways campaigns.Last month, DeSantis campaign released video social media images generated artificial intelligence President Donald Trump hugging infectious disease expert Dr. Anthony Fauci.And April, Republican National Committee released dystopian campaign ad meant future President Joe Biden reelected, created entirely AIgenerated images.While artificial intelligence political campaigning, AI tools improved dramatically recent years, making faster, cheaper easier create images, videos blocks text scratch.While tools streamline tedious tasks create innovative ad campaigns, experts warn churn harmful believable disinformation meant influence elections.SOS America PAC Typeform didnt immediately respond inquiries requesting information Suarezs chatbot.___Associated Press writer Meg Kinnard Columbia, South Carolina, contributed report.___The Associated Pressreceives support private foundations enhance explanatory coverage elections democracy. See APs democracy initiative here. The AP solely responsible content.Credit: APCredit: APEditors PicksCredit: APBREAKING: Lin Wood, outspoken Trump defender libel lawyer, gives law license1h agoAtlanta mastermind 10M Amazon fraud gets 16year prison sentence19m agoCredit: Channel 2 Action NewsMother girl decaying DeKalb closet released hospital, jailed2h agoCredit: John SpinkSenseless act: 2yearold paralyzed waist DeKalb shooting3h agoCredit: John SpinkSenseless act: 2yearold paralyzed waist DeKalb shooting3h agoCredit: APTrump posted said Obamas address, prosecutors say3h agoThe LatestCredit: AP LA County sheriffs department calls video deputy tackling woman disturbing, opens...7m agoStrong demand drives US new vehicle sales higher half year13m agoNorfolk Southern says companies share blame fiery Ohio derailment13m agoFeaturedCredit: arvin.temkar ranked state early voting turnout10h agoCheck results AJC Peachtree Road Race11h agoGeorgia Trump investigation: Were waiting. Listen Breakdown podcast12h agoAJC Logo Main 2023 The Atlanta JournalConstitution. . By website, accept terms Terms Use, , CCPA, understand options Ad Choices.Learn Careers Cox Enterprises.AboutHelp CenterAbout Atlanta JournalConstitutionNewsroom Ethics CodeCareersArchivePress OnDonate Us UsSend News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsAJC LiveDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIENewspapers Education 2023 The Atlanta JournalConstitution. . By website, accept terms Terms Use, , CCPA, understand options Ad Choices.Learn Careers Cox Enterprises.Back Top Settings | 2,023 | [
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https://www.alaskasnewssource.com/prnewswire/2023/07/19/top-ai-use-cases-healthcare-industry-highlighted-new-research-info-tech-research-group/ | 2023-07-19T00:00:00 | en | The Top AI Use Cases in the Healthcare Industry Highlighted in New Research From Info-Tech Research Group | The Top AI Use Cases in the Healthcare Industry Highlighted in New Research From Info-Tech Research Group
Skip to contentLiveNewsConstruction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos and VideosNewsletterNewsLocalNationalCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityRoadtrippin'Morning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaska's OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats & PredictionsHow to WatchFeaturesSeeking ShelterNourish AlaskaTelling Alaska's StoryIn Depth AlaskaIt's All GoodInside the GatesOutside the GatesWatching Your WalletThe Video VaultFoodChow Down with Guzzy GrubsRoadtrippin'Livestream NewscastsStream Us On VUitPodcastsConnect With UsSign Up for NewsletterSubmit News TipsSubmit Photos and VideosDownload our AppsHow to Watch On-DemandCommunity CalendarAdvertise With UsContestsAbout UsMeet the TeamWhat It's Like to Work for KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQCircle - Country Music & LifestyleGray DC BureauPowerNationInvestigateTVPress ReleasesThe Top AI Use Cases in the Healthcare Industry Highlighted in New Research From Info-Tech Research GroupPublished: Jul. 19, 2023 at 10:48 AM AKDT|Updated: 43 minutes agoInfo-Tech's latest research highlights how technology leaders in the healthcare industry can strategically and responsibly implement artificial intelligence to improve operational efficiency and patient outcomes in the digital age.TORONTO, July 19, 2023 /PRNewswire/ - As artificial intelligence (AI) becomes more mainstream and pervasive in an increasing number of industries, Info-Tech Research Group is advising that IT teams within healthcare organizations approach AI adoption strategically and responsibly. The firm's recommendations, outlined in a new research blueprint, Discover AI Use Cases in Healthcare, include clearly understanding the specific use cases and benefits of AI and creating a plan to address the challenges associated with implementation and ongoing use.Info-Tech Research Group Logo (CNW Group/Info-Tech Research Group)(PRNewswire)Adopting any new technology requires a strategic approach and alignment between IT and healthcare leaders, but many healthcare leaders have a limited understanding of the benefits of AI or its organizational impacts. The latest resource from the IT research and advisory firm addresses these issues to help healthcare organizations effectively invest in AI technology in a way that will foster innovation and improve operational efficiency and patient outcomes."The potential of artificial intelligence in healthcare is significant, and health organizations should consider leveraging AI to improve patient outcomes and reduce costs," says Sharon Auma-Ebanyat, research director at Info-Tech Research Group. "AI can be used for various purposes, including diagnosis and treatment, drug development, remote patient monitoring, and predictive analytics. By analyzing medical data, AI can help healthcare providers make more accurate diagnoses, develop more effective treatment plans, and monitor patients more effectively."AI and automation are related concepts that are often used interchangeably, but the firm cautions that the terms are distinct from each other. Automation refers to the use of technology to perform routine, repetitive tasks without human intervention, such as data entry, data processing, and other rule-based tasks. Robotic process automation (RPA) is a type of automation that uses software robots to automate these tasks.AI involves the development of computer systems that can perform tasks that would typically require human intelligence, such as learning, reasoning, perception, and problem-solving. While automation and AI are distinct concepts, they can be used together to create more efficient and effective systems. For example, RPA can be used to automate routine tasks, while AI can be used to analyze data and make predictions or decisions based on that data.This combination of automation and AI can lead to significant productivity gains, cost savings, and improved outcomes in many industries, including healthcare."RPA is typically the most feared application of automation in healthcare due to the assumption that by automating tasks, computers will replace humans in their jobs," explains Auma-Ebanyat. "However, it must be stressed that implementing RPA technologies can lead to enhanced job creation, as seen with all disruptive technologies. It can also provide more value to existing jobs. Given the current healthcare staffing shortages and burnout, automation can reduce the administrative burden, and staff can be repurposed to focus on complex aspects of their work."Info-Tech's blueprint advises that healthcare organizations use a benefits realization model for AI use case analysis. This type of approach emphasizes the importance of identifying, quantifying, and developing a framework to prioritize potential use case initiatives across the business capability map.The blueprint outlines a four-step approach to building a benefits realization model for AI use in the healthcare industry. A high-level breakdown can be found below:Review – Review the full business capability map for healthcare. In business architecture, the primary view of an organization is known as a business capability map. A business capability map provides details that help the business architecture practitioner direct attention to a specific area of the business for further assessment.Define – Define business goals, initiatives, and capabilities to select the appropriate AI use cases to improve and support business operations.Identify – Identify any potential AI challenges, including data readiness, budget constraints, AI governance, privacy, and bias. Healthcare organizations are highly targeted and can experience significant and costly data breaches. Therefore, assessing all potential AI use cases against business criteria is crucial to mitigate risk during the implementation process.Develop – Develop a use case priority matrix. To effectively gain executive buy-in, it is essential to strategically prioritize AI use cases based on their business value and implementation complexity. While an organization may have many initiatives that can be supported by AI use cases, a prioritization exercise can help decision-makers engage with their teams and business areas to ensure that no contextual information is missed that could impact the selection outcome."Health organizations should approach AI adoption strategically, with a clear understanding of the specific use cases and benefits, and a plan for addressing the challenges associated with implementation and ongoing use," adds Auma-Ebanyat. "Despite these challenges, the potential benefits of AI in healthcare are significant, and healthcare organizations that invest in AI technology and expertise will foster innovation to improve operational efficiency and patient outcomes."Info-Tech's research explains that AI has transformative potential for organizations, but it also has risks and limitations that must be considered. Before implementing AI solutions, healthcare organizations must assess their readiness maturity level. The firm cautions that without adequate maturity, new technologies will not improve operations.To learn more about how healthcare organizations can fast-track the process of identifying use cases, download the complete Discover AI Use Cases in Healthcare blueprint.For media inquiries on the topic or to get exclusive, timely commentary from Sharon Auma-Ebanyat, a healthcare subject matter expert, please contact [email protected] Info-Tech Research GroupInfo-Tech Research Group is one of the world's leading information technology research and advisory firms, proudly serving over 30,000 professionals. The company produces unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. For 25 years, Info-Tech has partnered closely with IT teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.Media professionals can register for unrestricted access to research across IT, HR, and software and over 200 IT and industry analysts through the firm's Media Insiders program. To gain access, contact [email protected] Research Group’s “Discover AI Use Cases in Healthcare” blueprint outlines a four-step benefits realization model for healthcare organizations to drive operational efficiencies and improve the quality of patient care. (CNW Group/Info-Tech Research Group)(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/the-top-ai-use-cases-in-the-healthcare-industry-highlighted-in-new-research-from-info-tech-research-group-301881309.htmlSOURCE Info-Tech Research GroupThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503(907) 762-9202Public Inspection [email protected] - (907) 762-9202FCC ApplicationsTerms of ServicePrivacy PolicyEEO StatementAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc. | The Top AI Use Cases in the Healthcare Industry Highlighted in New Research From Info-Tech Research Group | The Top AI Use Cases Healthcare Industry Highlighted New Research From InfoTech Research Group Skip contentLiveNewsConstruction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos VideosNewsletterNewsLocalNationalCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityRoadtrippinMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaskas OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats PredictionsHow WatchFeaturesSeeking ShelterNourish AlaskaTelling Alaskas StoryIn Depth AlaskaIts All GoodInside GatesOutside GatesWatching Your WalletThe Video VaultFoodChow Down Guzzy GrubsRoadtrippinLivestream NewscastsStream Us On VUitPodcastsConnect With UsSign Up NewsletterSubmit News TipsSubmit Photos VideosDownload AppsHow Watch OnDemandCommunity CalendarAdvertise With UsContestsMeet TeamWhat Its Like Work KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQCircle Country Music LifestyleGray DC BureauPowerNationInvestigateTVPress ReleasesThe Top AI Use Cases Healthcare Industry Highlighted New Research From InfoTech Research GroupPublished: Jul. 19, 2023 10:48 AM AKDTUpdated: 43 minutes agoInfoTechs latest research highlights technology leaders healthcare industry strategically responsibly implement artificial intelligence toimprove operational efficiency patient outcomes digital age.TORONTO, July 19, 2023 PRNewswire Asartificial intelligence AI mainstream pervasive increasing number ofindustries, InfoTech Research Group advising IT teams healthcare organizations approach AI adoption strategically responsibly. The firms recommendations, outlined new research blueprint, Discover AI Use Cases Healthcare, include clearly understanding specific use cases benefits AI creating plan address challenges associated implementation ongoing use.InfoTech Research Group Logo CNW GroupInfoTech Research GroupPRNewswireAdopting new technology requires strategic approach alignment IT healthcare leaders, healthcare leaders limited understanding benefits AI organizational impacts. The latest resource IT research advisory firm addresses issues help healthcare organizations effectively invest AI technology way foster innovation improve operational efficiency patient outcomes.The potential artificial intelligence healthcare significant, health organizations consider leveraging AI improve patient outcomes reduce costs,says Sharon AumaEbanyat, research director InfoTech Research Group. AI purposes, including diagnosis treatment, drug development, remote patient monitoring, predictive analytics. By analyzing medical data, AI help healthcare providers accurate diagnoses, develop effective treatment plans, monitor patients effectively.AI automation related concepts interchangeably, firm cautions terms distinct other. Automation refers use technology perform routine, repetitive tasks human intervention, data entry, data processing, rulebased tasks. Robotic process automation RPA type automation uses software robots automate tasks.AI involves development systems perform tasks typically require human intelligence, learning, reasoning, perception, problemsolving. While automation AI distinct concepts, create efficient effective systems. For example, RPA automate routine tasks, AI analyze data predictions decisions based data.This combination automation AI lead significant productivity gains, cost savings, improved outcomes industries, including healthcare.RPA typically feared application automation healthcare assumption automating tasks, computers replace humans jobs, explains AumaEbanyat. However, stressed implementing RPA technologies lead enhanced job creation, seen disruptive technologies. It provide value existing jobs. Given current healthcare staffing shortages burnout, automation reduce administrative burden, staff repurposed focus complex aspects work.InfoTechs blueprint advises healthcare organizations use benefits realization model AI use case analysis. This type approach emphasizes importance identifying, quantifying, developing framework prioritize potential use case initiatives business capability map.The blueprint outlines fourstep approach building benefits realization model AI use healthcare industry. A highlevel breakdown below:Review Review business capability map healthcare. In business architecture, primary view organization known business capability map. A business capability map provides details help business architecture practitioner direct attention specific area business assessment.Define Define business goals, initiatives, capabilities select appropriate AI use cases improve support business operations.Identify Identify potential AI challenges, including data readiness, budget constraints, AI governance, privacy, bias. Healthcare organizations highly targeted experience significant costly data breaches. Therefore, assessing potential AI use cases business criteria crucial mitigate risk implementation process.Develop Develop use case priority matrix. To effectively gain executive buyin, essential strategically prioritize AI use cases based business value implementation complexity. While organization initiatives supported AI use cases, prioritization exercise help decisionmakers engage teams business areas ensure contextual information missed impact selection outcome.Health organizations approach AI adoption strategically, clear understanding specific use cases benefits, plan addressing challenges associated implementation ongoing use, adds AumaEbanyat. Despite challenges, potential benefits AI healthcare significant, healthcare organizations invest AI technology expertise foster innovation improve operational efficiency patient outcomes.InfoTechs research explains AI transformative potential organizations, risks limitations considered. Before implementing AI solutions, healthcare organizations assess readiness maturity level. The firm cautions adequate maturity, new technologies improve operations.To learn healthcare organizations fasttrack process identifying use cases, download complete Discover AI Use Cases Healthcare blueprint.For media inquiries topic exclusive, timely commentary Sharon AumaEbanyat, healthcare subject matter expert, contact salhassan InfoTech Research GroupInfoTech Research Groupis worlds leading information technology research advisory firms, proudly serving 30,000 professionals. The company produces unbiased highly relevant research help CIOs IT leaders strategic, timely, wellinformed decisions. For 25 years, InfoTech partnered closely IT teams provide need, actionable tools analyst guidance, ensuring deliver measurable results organizations.Media professionals register unrestricted access research IT, HR, software 200 IT industry analysts firms Media Insiders program. To gain access, contact pr Research Groups Discover AI Use Cases Healthcare blueprint outlines fourstep benefits realization model healthcare organizations drive operational efficiencies improve quality patient care. CNW GroupInfoTech Research GroupPRNewswireView original content download multimedia: InfoTech Research GroupThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503907 7629202Public Inspection Filepublicfile 907 7629202FCC ApplicationsEEO StatementAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, . | 2,023 | [
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https://www.albanyherald.com/news/business/schools-are-teaching-chatgpt-so-students-aren-t-left-behind/article_98dbe84c-6759-56eb-8f47-a2c683569e4b.html | 2023-08-19T00:00:00 | en | Schools are teaching ChatGPT, so students aren’t left behind | Business | albanyherald.com |
Schools are teaching ChatGPT, so students aren’t left behind | Business | albanyherald.com
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Schools are teaching ChatGPT, so students aren’t left behind
By Samantha Murphy Kelly, CNN Business
Aug 19, 2023
1 hr ago
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New York (CNN) — When college administrator Lance Eaton created a working spreadsheet about the generative AI policies adopted by universities last spring, it was mostly filled with entries about how to ban tools like ChatGPT.But now the list, which is updated by educators at both small and large US and international universities, is considerably different: Schools are encouraging and even teaching students how to best use these tools.
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| Schools are teaching ChatGPT, so students aren’t left behind | Schools teaching ChatGPT, students arent left Business Skip main content You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Albany Herald Mobile Local Election 2022 World Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep College Professional Outdoors Newsletters Sports Illustrated Opinion Columnists Squawk Day Features Puzzles Celebrities TV News Faith FoodRecipes Health Home Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries eEdition Help Newsletters Alerts Now Digital Digital gift subscription Now Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Us Weather Site search Now Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter LinkedIn YouTube Instagram Email iOS App Android App Classifieds Autos Jobs Legals Obituaries eEdition Local Events Contests Now Toggle navigation Site search 82 Albany, GA 31701 Today Mostly sunny. Hot. High 93F. Winds NE 5 10 mph.. Tonight Clear skies. Low 74F. Winds ENE 5 10 mph. Updated: August 19, 2023 @ 9:43 Full Forecast Home News Coronavirus Albany Herald Mobile Local Business Colleges Universities Education Government Health Military Political Public Safety Election 2022 World Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep College Albany State Georgia Bulldogs ACC SEC Professional Braves Falcons Hawks Tamp Bay Buccaneers Jacksonville Jaguars Outdoors Newsletters Sports Illustrated Opinion Columnists Bob Kornegay Brad McEwen Carlton Fletcher Creede Hinshaw Dick Yarbrough Georgia Clippings Health Fitness Jim Hendricks Kevin Sproul Loran Smith Mandy Flynn Mary Braswell Ronda Rich T. Gamble The Old Rocker Syndicated Columnists Squawk Day Features Puzzles Celebrities Famous Celebrities Local Celebrities TV News Faith FoodRecipes Health Home Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries eEdition Help Newsletters Alerts Now Digital Digital gift subscription Now Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Us Weather Schools teaching ChatGPT, students arent left By Samantha Murphy Kelly, CNN Business Aug 19, 2023 1 hr ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Copy article link Save New York CNN When college administrator Lance Eaton created working spreadsheet generative AI policies adopted universities spring, filled entries ban tools like ChatGPT.But list, updated educators small large US international universities, considerably different: Schools encouraging teaching students best use tools. 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E96 9 2?5 3F88J]k^AmkAm96\r\:C6k^AmkAm U2>Aj a_ab r23=6 6HD 6EH x?4][ 2 2C?6C qC s:D4 r p== C:89ED C6D6CG65]k^Am Recommended 79 PHOTOS: Dougherty vs. Westover Hamp Smith Classic Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save Tags Cnn Artificial Intelligence Business And Industry Sectors Business, Economy And Trade Companies Computer Science And Information Technology Domestic Alerts Domesticbusiness Domestichealth And Science Education Education Systems And Institutions Higher Education Iabartificial Intelligence Iabbusiness And Finance Iabcollege Education Iabcomputing Iabeducation Iabeducation Industry Iabindustries Iabtechnology Computing Iabtechnology Industry International Alerts Internationalbusiness Internationalhealth And Science Openai Students And Student Life Teachers And Teaching Technology School Systems University Computer Science Internet Job Market Software Sports Telecommunications Industry Business Grammar And Syntax Culture More News 2 News featured DNR schedules Outdoors Woman workshop From staff reports Updated 2 min ago 2 News featured 21 arrested Cook County FBIled operation From staff reports Updated 15 min ago Business The dog days summer boom times divorce. Heres tougher economy By Alexandra Peers, CNN 32 min ago News featured Georgia case Trump beginning By Dave Williams, Bureau Chief Capitol Beat News Service Updated 26 min ago Latest Albany Herald 21 arrested Cook County FBIled operation Georgia case Trump beginning Cobb teacher read book gender identity class fired Lee County beats Warner Robins Kromah fourthquarter touchdowns Dougherty takes advantage Westover mistakes, beats Patriots 3215 Latest News 21 arrested Cook County FBIled operation The dog days summer boom times divorce. Heres tougher economy Georgia case Trump beginning Cobb teacher read book gender identity class fired More News Most Popular Articles Images Videos Collections ArticlesReport: Blind Side subject Michael Oher claims adoption ruseIs An NSYNC Reunion Happening? 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https://www.americanbankingnews.com/2020/04/06/decentralized-machine-learning-24-hour-volume-reaches-11058-00-dml.html | 2020-04-07T00:00:00 | en | Decentralized Machine Learning 24-Hour Volume Reaches $11,058.00 (DML) - American Banking News |
Decentralized Machine Learning 24-Hour Volume Reaches $11,058.00 (DML) - American Banking News
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Decentralized Machine Learning 24-Hour Volume Reaches $11,058.00 (DML)
Posted by ABMN Staff on Apr 6th, 2020 // No Comments
Decentralized Machine Learning (CURRENCY:DML) traded up 19% against the dollar during the 24-hour period ending at 21:00 PM ET on April 6th. One Decentralized Machine Learning token can currently be bought for approximately $0.0004 or 0.00000006 BTC on cryptocurrency exchanges including IDEX and DDEX. Decentralized Machine Learning has a market cap of $116,624.73 and $11,058.00 worth of Decentralized Machine Learning was traded on exchanges in the last day. During the last week, Decentralized Machine Learning has traded up 8.2% against the dollar.
Here is how similar cryptocurrencies have performed during the last day:
Get Decentralized Machine Learning alerts:
XRP (XRP) traded up 11.1% against the dollar and now trades at $0.20 or 0.00002717 BTC.
Tether (USDT) traded down 0.5% against the dollar and now trades at $1.00 or 0.00013516 BTC.
Bitcoin SV (BSV) traded up 9% against the dollar and now trades at $192.23 or 0.02604554 BTC.
Binance Coin (BNB) traded up 10.9% against the dollar and now trades at $15.26 or 0.00206793 BTC.
TAGZ5 (TAGZ5) traded 11% higher against the dollar and now trades at $3.61 or 0.00048909 BTC.
InnovativeBioresearchClassic (INNBCL) traded 46.8% lower against the dollar and now trades at $0.0000 or 0.00000000 BTC.
Stellar (XLM) traded up 16.3% against the dollar and now trades at $0.0511 or 0.00000693 BTC.
Chainlink (LINK) traded 14.6% higher against the dollar and now trades at $2.63 or 0.00035701 BTC.
TRON (TRX) traded 8% higher against the dollar and now trades at $0.0138 or 0.00000187 BTC.
COZ (COZ) traded up 26.7% against the dollar and now trades at $0.22 or 0.00004541 BTC.
Decentralized Machine Learning Profile
Decentralized Machine Learning launched on March 9th, 2018. Decentralized Machine Learning’s total supply is 272,937,007 tokens. The official website for Decentralized Machine Learning is decentralizedml.com. The Reddit community for Decentralized Machine Learning is /r/decentralizedML and the currency’s Github account can be viewed here. Decentralized Machine Learning’s official message board is medium.com/@decentralizedml. Decentralized Machine Learning’s official Twitter account is @DecentralizedML.
Decentralized Machine Learning Token Trading
Decentralized Machine Learning can be bought or sold on these cryptocurrency exchanges: DDEX and IDEX. It is usually not possible to buy alternative cryptocurrencies such as Decentralized Machine Learning directly using US dollars. Investors seeking to acquire Decentralized Machine Learning should first buy Ethereum or Bitcoin using an exchange that deals in US dollars such as Gemini, Coinbase or Changelly. Investors can then use their newly-acquired Ethereum or Bitcoin to buy Decentralized Machine Learning using one of the exchanges listed above.
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| Decentralized Machine Learning 24-Hour Volume Reaches $11,058.00 (DML) | Decentralized Machine Learning 24Hour Volume Reaches 11,058.00 DML American Banking News Home About Email Newsletter Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings Daily Ratings News Decentralized Machine Learning Complete form receive latest headlines analysts recommendations Decentralized Machine Learning free daily email newsletter: Follow Recent Posts Utrum OOT Price Tops 0.0021 Exchanges Birdchain Market Cap Hits 86,232.64 BIRD Decentralized Machine Learning 24Hour Volume Reaches 11,058.00 DML Analysts Upgrades April, 6th BMRC, BNTX, BOCH, BPOSY, CCLP, CGEN, CHCO, CNCE, CNTY, COHU CashBet Coin Market Cap Hits 1.11 Million CBC Insider Buying: Equinix NASDAQ:EQIX Director Acquires 5,000 Shares Stock Five Point Holdings LLC NYSE:FPH Major Shareholder Buys 581,073.92 Stock Johnson Johnson NYSE:JNJ Shares Bought State Alaska Department Revenue Lunes Trading 41.8 Lower Over Last Week LUNES OneLedger OLT Reaches Market Capitalization 1.43 Million Webflix Token WFX Achieves Market Capitalization 321,921.12 Hi Mutual Society 24 Hour Volume Hits 97.00 HMC Coinchase Token CCH Price Reaches 0.0000 Top Exchanges Phonecoin PHON Price Hits 0.0001 Top Exchanges Citadel CTL One Day Volume Tops 2.00 Own CHX Hits Market Capitalization 2.38 Million Metaverse Dualchain Network Architecture Hits 24 Hour Volume 8.32 Million DNA JD Coin Market Cap Tops 675,171.58 JDC Grimm XGM Price Up 6 Over Last 7 Days Vetri VLD Price Hits 0.0028 Top Exchanges Decentralized Machine Learning 24Hour Volume Reaches 11,058.00 DML Posted ABMN Staff Apr 6th, 2020 No Comments Decentralized Machine Learning CURRENCY:DML traded 19 dollar 24hour period ending 21:00 PM ET April 6th. One Decentralized Machine Learning token currently bought approximately 0.0004 0.00000006 BTC cryptocurrency exchanges including IDEX DDEX. Decentralized Machine Learning market cap 116,624.73 11,058.00 worth Decentralized Machine Learning traded exchanges day. During week, Decentralized Machine Learning traded 8.2 dollar. Here similar cryptocurrencies performed day: Get Decentralized Machine Learning alerts: XRP XRP traded 11.1 dollar trades 0.20 0.00002717 BTC. Tether USDT traded 0.5 dollar trades 1.00 0.00013516 BTC. Bitcoin SV BSV traded 9 dollar trades 192.23 0.02604554 BTC. Binance Coin BNB traded 10.9 dollar trades 15.26 0.00206793 BTC. TAGZ5 TAGZ5 traded 11 higher dollar trades 3.61 0.00048909 BTC. InnovativeBioresearchClassic INNBCL traded 46.8 lower dollar trades 0.0000 0.00000000 BTC. Stellar XLM traded 16.3 dollar trades 0.0511 0.00000693 BTC. Chainlink LINK traded 14.6 higher dollar trades 2.63 0.00035701 BTC. TRON TRX traded 8 higher dollar trades 0.0138 0.00000187 BTC. COZ COZ traded 26.7 dollar trades 0.22 0.00004541 BTC. Decentralized Machine Learning Profile Decentralized Machine Learning launched March 9th, 2018. Decentralized Machine Learnings total supply 272,937,007 tokens. The official website Decentralized Machine Learning . The Reddit community Decentralized Machine Learning rdecentralizedML currencys Github account viewed here. Decentralized Machine Learnings official message board Decentralized Machine Learnings official Twitter account Decentralized Machine Learning Token Trading Decentralized Machine Learning bought sold cryptocurrency exchanges: DDEX IDEX. It usually possible buy alternative cryptocurrencies Decentralized Machine Learning directly US dollars. Investors seeking acquire Decentralized Machine Learning buy Ethereum Bitcoin exchange deals US dollars Gemini, Coinbase Changelly. Investors use newlyacquired Ethereum Bitcoin buy Decentralized Machine Learning exchanges listed above. Receive News Updates Decentralized Machine Learning Daily Enter email address receive concise daily summary latest news updates Decentralized Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSAnalysts Upgrades April, 6th BMRC, BNTX, BOCH, BPOSY, CCLP, CGEN, CHCO, CNCE, CNTY, COHU Latest News Decentralized Machine Learning 24Hour Volume Reaches 11,058.00 Birdchain Market Cap Hits 86,232.64 Utrum Price Tops 0.0021 Exchanges Analysts Upgrades April, 6th CashBet Coin Market Cap Hits 1.11 Million Five Point Holdings LLC Major Shareholder Buys 581,073.92 Stock Leave Reply Click cancel reply. Name Required Mail published Required Website Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings 20062020 American Banking News | 2,020 | [
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https://www.americanbankingnews.com/2021/04/22/renalytix-ai-nasdaqrnlx-shares-gap-up-to-25-22.html | 2021-04-22T00:00:00 | en | Renalytix AI (NASDAQ:RNLX) Shares Gap Up to $25.22 - American Banking News |
Renalytix AI (NASDAQ:RNLX) Shares Gap Up to $25.22 - American Banking News
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Renalytix AI (NASDAQ:RNLX) Shares Gap Up to $25.22
Posted by ABMN Staff on Apr 22nd, 2021
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Renalytix AI plc (NASDAQ:RNLX)’s stock price gapped up prior to trading on Thursday . The stock had previously closed at $25.22, but opened at $29.00. Renalytix AI shares last traded at $29.66, with a volume of 7,651 shares traded.
A number of analysts have recently weighed in on the stock. Investec raised shares of Renalytix AI from a “hold” rating to a “buy” rating in a research note on Thursday. Zacks Investment Research lowered shares of Renalytix AI from a “hold” rating to a “sell” rating in a research note on Saturday, March 6th.
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The firm has a market capitalization of $1.09 billion and a price-to-earnings ratio of -185.38. The firm’s 50 day moving average is $27.01 and its 200 day moving average is $19.29.
Renalytix AI (NASDAQ:RNLX) last released its quarterly earnings results on Tuesday, March 2nd. The company reported ($0.12) earnings per share (EPS) for the quarter, missing the Zacks’ consensus estimate of ($0.07) by ($0.05). The firm had revenue of $0.40 million for the quarter, compared to analyst estimates of $1.70 million. On average, research analysts anticipate that Renalytix AI plc will post -0.23 EPS for the current year.
Several hedge funds have recently added to or reduced their stakes in RNLX. Pentwater Capital Management LP acquired a new stake in shares of Renalytix AI during the third quarter valued at approximately $2,188,000. Gofen & Glossberg LLC IL raised its holdings in shares of Renalytix AI by 7.2% during the fourth quarter. Gofen & Glossberg LLC IL now owns 122,450 shares of the company’s stock valued at $1,959,000 after acquiring an additional 8,250 shares during the period. Pinnacle Associates Ltd. raised its holdings in shares of Renalytix AI by 39.8% during the fourth quarter. Pinnacle Associates Ltd. now owns 34,440 shares of the company’s stock valued at $551,000 after acquiring an additional 9,800 shares during the period. Silverarc Capital Management LLC acquired a new stake in shares of Renalytix AI during the fourth quarter valued at approximately $2,260,000. Finally, Parian Global Management LP raised its holdings in shares of Renalytix AI by 25.8% during the fourth quarter. Parian Global Management LP now owns 1,075,684 shares of the company’s stock valued at $17,211,000 after acquiring an additional 220,503 shares during the period. Institutional investors and hedge funds own 13.61% of the company’s stock.
About Renalytix AI (NASDAQ:RNLX)
Renalytix AI plc develops artificial intelligence-enabled in vitro diagnostic solutions for kidney diseases. The company offers KidneyIntelX, a diagnostic platform that employs an artificial intelligence-enabled algorithm that combines various data inputs, including validated blood-based biomarkers, inherited genetics and personalized patient data from electronic health record, and systems to generate a unique patient risk score.
Further Reading: How to calculate compound interest
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| Renalytix AI (NASDAQ:RNLX) Shares Gap Up to $25.22 | Renalytix AI NASDAQ:RNLX Shares Gap Up 25.22 American Banking News Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Renalytix AI NASDAQ:RNLX Shares Gap Up 25.22 Posted ABMN Staff Apr 22nd, 2021 Tweet Renalytix AI plc NASDAQ:RNLXs stock price gapped prior trading Thursday . The stock previously closed 25.22, opened 29.00. Renalytix AI shares traded 29.66, volume 7,651 shares traded. A number analysts recently weighed stock. Investec raised shares Renalytix AI hold rating buy rating research note Thursday. Zacks Investment Research lowered shares Renalytix AI hold rating sell rating research note Saturday, March 6th. Get Renalytix AI alerts: The firm market capitalization 1.09 billion pricetoearnings ratio 185.38. The firms 50 day moving average 27.01 200 day moving average 19.29. Renalytix AI NASDAQ:RNLX released quarterly earnings results Tuesday, March 2nd. The company reported 0.12 earnings share EPS quarter, missing Zacks consensus estimate 0.07 0.05. The firm revenue 0.40 million quarter, compared analyst estimates 1.70 million. On average, research analysts anticipate Renalytix AI plc post 0.23 EPS current year. Several hedge funds recently added reduced stakes RNLX. Pentwater Capital Management LP acquired new stake shares Renalytix AI quarter valued approximately 2,188,000. Gofen Glossberg LLC IL raised holdings shares Renalytix AI 7.2 fourth quarter. Gofen Glossberg LLC IL owns 122,450 shares companys stock valued 1,959,000 acquiring additional 8,250 shares period. Pinnacle Associates Ltd. raised holdings shares Renalytix AI 39.8 fourth quarter. Pinnacle Associates Ltd. owns 34,440 shares companys stock valued 551,000 acquiring additional 9,800 shares period. Silverarc Capital Management LLC acquired new stake shares Renalytix AI fourth quarter valued approximately 2,260,000. Finally, Parian Global Management LP raised holdings shares Renalytix AI 25.8 fourth quarter. Parian Global Management LP owns 1,075,684 shares companys stock valued 17,211,000 acquiring additional 220,503 shares period. Institutional investors hedge funds 13.61 companys stock. About Renalytix AI NASDAQ:RNLX Renalytix AI plc develops artificial intelligenceenabled vitro diagnostic solutions kidney diseases. The company offers KidneyIntelX, diagnostic platform employs artificial intelligenceenabled algorithm combines data inputs, including validated bloodbased biomarkers, inherited genetics personalized patient data electronic health record, systems generate unique patient risk score. Further Reading: How calculate compound Receive News Ratings Renalytix AI Daily Enter email address receive concise daily summary latest news analysts ratings Renalytix AI related companies FREE daily email newsletter. PREVIOUSTD Securities Begins Coverage K92 Mining OTCMKTS:KNTNF NEXT CSX Co. NASDAQ:CSX Gibraltar Capital Management .s 6th Largest Position You interested in: Nepsis . Has 7.78 Million Holdings Advanced Micro Devices, . Snapon orporated Shares Purchased Touchstone Capital . Caterpillar . Shares Purchased Exchange Traded Concepts LLC Nepsis . Purchases 4,967 Shares Discover Financial Services Successful Portfolios LLC Sells 2,360 Shares iShares ESG Aware MSCI USA ETF Schwab U.S. Aggregate Bond ETF Northwest Investment Counselors LLCs 8th Largest Position Daily Ratings News Renalytix AI Complete form receive latest headlines analysts recommendations Renalytix AI free daily email newsletter: Recent News Nepsis . Has 7.78 Million Holdings Advanced Micro Devices, . NASDAQ:AMD Snapon orporated NYSE:SNA Shares Purchased Touchstone Capital . Caterpillar . NYSE:CAT Shares Purchased Exchange Traded Concepts LLC Nepsis . Purchases 4,967 Shares Discover Financial Services NYSE:DFS Successful Portfolios LLC Sells 2,360 Shares iShares ESG Aware MSCI USA ETF NASDAQ:ESGU Schwab U.S. Aggregate Bond ETF NYSEARCA:SCHZ Northwest Investment Counselors LLCs 8th Largest Position Toth Financial Advisory Corp Lowers Holdings Quest Diagnostics orporated NYSE:DGX Northwest Investment Counselors LLC Has 3.81 Million Position United Parcel Service, . NYSE:UPS Stanley Black Decker, . NYSE:SWK Shares Sold Northwest Investment Counselors LLC Bangor Savings Bank Has 3.51 Million Holdings Vanguard MidCap Value ETF NYSEARCA:VOE Bangor Savings Bank Has 23.23 Million Stake Vanguard FTSE Emerging Markets ETF NYSEARCA:VWO Canal Capital Management LLC reases Holdings Vanguard Total Bond Market Index Fund ETF Shares NASDAQ:BND Capital Advisors Wealth Management LLC Makes New Investment Goldman Sachs ActiveBeta U.S. Large Cap Equity ETF NYSEARCA:GSLC Berkshire Money Management . Sells 16,105 Shares iShares Russell 1000 Growth ETF NYSEARCA:IWF Capital Advisors Wealth Management LLC Invests 5.56 Million Vanguard SmallCap Growth ETF NYSEARCA:VBK Capital Advisors Wealth Management LLC Purchases Shares 207,304 SPDR Blackstone Senior Loan ETF NYSEARCA:SRLN Capital Advisors Wealth Management LLC Buys Shares 59,742 Vanguard Extended Market ETF NYSEARCA:VXF Vanguard MidCap ETF NYSEARCA:VO Shares Acquired Bangor Savings Bank 41,596 Shares Vanguard MidCap Value ETF NYSEARCA:VOE Bought Capital Advisors Wealth Management LLC Capital Advisors Wealth Management LLC Makes New 13.38 Million Investment iShares SP 500 ETF NYSEARCA:IVV Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings 20182021 American Banking News | 2,021 | [
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https://www.americanbankingnews.com/2022/06/10/insig-ai-loninsg-trading-down-7-8.html | 2022-06-10T00:00:00 | en | Insig AI (LON:INSG) Trading Down 7.8% - American Banking News |
Insig AI (LON:INSG) Trading Down 7.8% - American Banking News
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Insig AI (LON:INSG) Trading Down 7.8%
Posted by ABMN Staff on Jun 10th, 2022
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Insig AI Plc (LON:INSG – Get Rating)’s share price dropped 7.8% during mid-day trading on Thursday . The stock traded as low as GBX 35 ($0.44) and last traded at GBX 35.50 ($0.44). Approximately 20,803 shares were traded during mid-day trading, a decline of 83% from the average daily volume of 120,062 shares. The stock had previously closed at GBX 38.50 ($0.48).
The company’s fifty day moving average is GBX 31.46 and its 200-day moving average is GBX 37. The company has a market capitalization of £37.51 million and a PE ratio of 71.00. The company has a debt-to-equity ratio of 1.56, a quick ratio of 4.22 and a current ratio of 4.22.
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In related news, insider Richard Bernstein bought 275,000 shares of the stock in a transaction dated Monday, April 25th. The shares were purchased at an average price of GBX 28 ($0.35) per share, with a total value of £77,000 ($96,491.23). Insiders purchased a total of 607,500 shares of company stock valued at $15,415,000 over the last three months.
Insig AI Company Profile (LON:INSG)
Insig AI Plc provides data science and machine learning solutions. It offers cutting-edge machine learning techniques, elastic database, and cloud-computing technology for investment professionals. The company's products include Insig Portfolio, a data science and machine learning platform designed to enhance investment strategies and portfolio interrogation; Insig Data, which takes data from third party providers and transforms it into a machine-readable format; and Insig Docs, an application that extracts, stores, and tags data from documents and allows access, unlock, and visualization of large amounts of data.
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| Insig AI (LON:INSG) Trading Down 7.8% | Insig AI LON:INSG Trading Down 7.8 American Banking News Skip main content Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Insig AI LON:INSG Trading Down 7.8 Posted ABMN Staff Jun 10th, 2022 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Insig AI Plc LON:INSG Get Ratings share price dropped 7.8 midday trading Thursday . The stock traded low GBX 35 0.44 traded GBX 35.50 0.44. Approximately 20,803 shares traded midday trading, decline 83 average daily volume 120,062 shares. The stock previously closed GBX 38.50 0.48. The companys day moving average GBX 31.46 200day moving average GBX 37. The company market capitalization 37.51 million PE ratio 71.00. The company debttoequity ratio 1.56, quick ratio 4.22 current ratio 4.22. Get Insig AI alerts: In related news, insider Richard Bernstein bought 275,000 shares stock transaction dated Monday, April 25th. The shares purchased average price GBX 28 0.35 share, total value 77,000 96,491.23. Insiders purchased total 607,500 shares company stock valued 15,415,000 months. Insig AI Company Profile LON:INSG Insig AI Plc provides data science machine learning solutions. It offers cuttingedge machine learning techniques, elastic database, cloudcomputing technology investment professionals. The companys products include Insig Portfolio, data science machine learning platform designed enhance investment strategies portfolio interrogation; Insig Data, takes data party providers transforms machinereadable format; Insig Docs, application extracts, stores, tags data documents allows access, unlock, visualization large amounts data. Featured Stories The Institutions Are Rotating Into Ollis Bargain Outlet Microcap OilDri Corporation Is A Buy For ome Investors Inflation, An Economic Winter Is Approaching Would Netflix acquiring Roku positive stock? Nows The Time To Buy MongoDB NASDAQ: MDB Receive News Ratings Insig AI Daily Enter email address receive concise daily summary latest news analysts ratings Insig AI related companies FREE daily email newsletter. PREVIOUS HEADLINEAnalyzing RBB Bancorp NASDAQ:RBB First Financial Northwest NASDAQ:FFNW NEXT HEADLINE 422.24 Million Sales Expected Stride, . NYSE:LRN This Quarter You interested in: iShares ESG MSCI USA Leaders ETF Trading Down 2.4 iShares 20 Year Treasury Bond ETF Stock Price Up 0.3 ProShares UltraPro QQQ Stock Price Down 8.1 Converge Technology Solutions Shares Down 3.1 Defense Metals Trading Down 4.3 Pershing Square Stock Price Up 0.2 Daily Ratings News Insig AI Complete form receive latest headlines analysts recommendations Insig AI free daily email newsletter: Follow Recent News iShares ESG MSCI USA Leaders ETF NYSEARCA:SUSL Trading Down 2.4 iShares 20 Year Treasury Bond ETF NYSEARCA:TLT Stock Price Up 0.3 ProShares UltraPro QQQ NYSEARCA:TQQQ Stock Price Down 8.1 Converge Technology Solutions TSE:CTS Shares Down 3.1 Defense Metals CVE:DEFN Trading Down 4.3 Pershing Square LON:PSH Stock Price Up 0.2 Vector Capital LON:VCAP Trading Up 0.1 Virgin Wines UK LON:VINO Shares Down 3.8 ETFMG U.S. Alternative Harvest ETF NYSEARCA:MJUS Shares Down 0.6 Kooth LON:KOO Stock Price Down 0.8 Kontrol Technologies OTCMKTS:KNRLF Stock Price Down 5.6 Jade Road Investments LON:JADE Stock Price Down 15.4 Digital Brands Group NASDAQ:DBGI Shares Up 28.5 TEAM LON:TEAM Stock Price Up 2.2 Aiful OTCMKTS:AIFLY Stock Price Down 10.9 Data443 Risk Mitigation OTCMKTS:ATDSD Shares Up 1.1 Amplify Thematic AllStars ETF NYSEARCA:MVPS Stock Price Down 3.2 Clean Air Metals CVE:AIR Shares Down 2.5 Roundhill Ball Metaverse ETF NYSEARCA:META Stock Price Down 6.4 422.24 Million Sales Expected Stride, . NYSE:LRN This Quarter Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings 20182022 American Banking News | 2,022 | [
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https://www.androidauthority.com/what-does-gpt-stand-for-in-chatgpt-3316137/ | 2023-04-23T00:00:00 | en | What does GPT stand for in ChatGPT? - Android Authority | What does GPT stand for in ChatGPT? - Android AuthorityBest daily dealsAffiliate links on Android Authority may earn us a commission. Learn more.
General technologyWhat does GPT stand for in ChatGPT?GPT has become a common term in the AI space, but what does it mean?By Calvin Wankhede•5 hours agoEdgar Cervantes / Android AuthorityIt’s hard to escape the buzz surrounding ChatGPT, the AI chatbot that can write like a human. From college essays to computer code, there’s virtually no written task it cannot accomplish. And it’s not just a one-off either — Microsoft’s Bing Chat also relies on GPT-4. That’s a more advanced language model compared to the one used in ChatGPT. So what does the GPT in ChatGPT stand for and why has it become so common all of a sudden?
QUICK ANSWER
GPT stands for Generative Pre-trained Transformer. It refers to the family of large language models that power AI chatbots like ChatGPT. Bing Chat uses GPT-4, while ChatGPT relies on GPT-3.5. Keep reading to know more about GPT and how it works.What does GPT mean in ChatGPT?
The GPT in ChatGPT stands for Generative Pre-trained Transformer. It essentially tells us a bit about how the chatbot’s underlying natural language technology works. Here’s what each word means:
Generative: Chatbots like ChatGPT are examples of generative AI. They can write computer code, essays, and engage in human-like dialog without a script. In most cases, they produce brand-new sentences.
Pre-trained: According to OpenAI, the language model used for ChatGPT was fed 570GB worth of text as part of its training data.
Transformer: The GPT family of large language models use Google’s open-source Transformer architecture under the hood. It’s essentially a deep learning model that can analyze large amounts of text and understand how each word relates to another.
The free version of ChatGPT uses a modified version of GPT-3, which first released in 2020. And if you pay for ChatGPT Plus, you also gain access to the GPT-4 model.
GPT-3 vs GPT-4: What’s the difference?Rita El Khoury / Android AuthorityAs you may have guessed by now, we’ve already gone through a few different versions of GPT. The latest release, GPT-4, has improved significantly in terms of accuracy and knowledge. It can also understand different kinds of input, not just text. So for example, you could provide a graph or image instead of a text-based prompt.In its current state, ChatGPT uses the GPT-3.5 language model. But while it’s technically last-gen technology, our testing has found that it’s still extremely capable. When I pit ChatGPT vs Bard, for example, it managed to handily outperform Google’s chatbot. This is because Google doesn’t use the GPT family for its products. Instead, it has developed its own large language model called LaMDA.
ChatGPT uses a fine-tuned version of GPT-3, but you can also optionally upgrade to GPT-4.
So how does ChatGPT’s model differ from GPT-3? The former was fine-tuned with the help of human workers. that trained the model to respond in a friendly and conversational manner. Developers can still use the base GPT-3 model for their own projects. And on top of that, they can also fine-tune it for their own apps.If you want to see what OpenAI’s bare language model looks like, you’re in luck. There’s an easy way to access GPT-3 from any web browser.
How to use GPT-3Calvin Wankhede / Android AuthorityIf you want a glimpse at the inner workings of ChatGPT, you can play around with GPT-3. Here’s how:
Navigate to the OpenAI Playground webpage.
Click Sign In. You can use the same credentials you use for ChatGPT to log in here since both are OpenAI products.
Simply type a prompt into the textbox and hit Submit. You can compare the results against OpenAI’s chatbot to see how they differ.
As the name suggests, OpenAI’s Playground is customizable according to your needs. The Temperature slider adjusts the randomness of responses, and you can impose a repetition penalty as well. And if you’re not a fan of ChatGPT’s generous character limit, you can change the maximum length slider in the Playground too.
FAQs
What architecture does GPT use? GPT uses Google’s open-source attention-based Transformer architecture.
What does GPT stand for in AI?In the context of AI chatbots like ChatGPT, GPT stands for Generative Pre-trained Transformer. It hints at the machine learning technology behind ChatGPT.
GuidesChatGPTComments | What does GPT stand for in ChatGPT? | What GPT stand ChatGPT? Android AuthorityBest daily dealsAffiliate links Android Authority earn commission. Learn more. General technologyWhat GPT stand ChatGPT?GPT common term AI space, mean?By Calvin Wankhede5 hours agoEdgar Cervantes Android AuthorityIts hard escape buzz surrounding ChatGPT, AI chatbot write like human. From college essays code, theres virtually written task accomplish. And oneoff Microsofts Bing Chat relies GPT4. Thats advanced language model compared ChatGPT. So GPT ChatGPT stand common sudden? QUICK ANSWER GPT stands Generative Pretrained Transformer. It refers family large language models power AI chatbots like ChatGPT. Bing Chat uses GPT4, ChatGPT relies GPT3.5. Keep reading know GPT works.What GPT mean ChatGPT? The GPT ChatGPT stands Generative Pretrained Transformer. It essentially tells bit chatbots underlying natural language technology works. Heres word means: Generative: Chatbots like ChatGPT examples generative AI. They write code, essays, engage humanlike dialog script. In cases, produce brandnew sentences. Pretrained: According OpenAI, language model ChatGPT fed 570GB worth text training data. Transformer: The GPT family large language models use Googles opensource Transformer architecture hood. Its essentially deep learning model analyze large amounts text understand word relates another. The free version ChatGPT uses modified version GPT3, released 2020. And pay ChatGPT Plus, gain access GPT4 model. GPT3 vs GPT4: Whats difference?Rita El Khoury Android AuthorityAs guessed now, weve gone different versions GPT. The latest release, GPT4, improved significantly terms accuracy knowledge. It understand different kinds input, text. So example, provide graph image instead textbased prompt.In current state, ChatGPT uses GPT3.5 language model. But technically lastgen technology, testing extremely capable. When I pit ChatGPT vs Bard, example, managed handily outperform Googles chatbot. This Google doesnt use GPT family products. Instead, developed large language model called LaMDA. ChatGPT uses finetuned version GPT3, optionally upgrade GPT4. So ChatGPTs model differ GPT3? The finetuned help human workers. trained model respond friendly conversational manner. Developers use base GPT3 model projects. And that, finetune apps.If want OpenAIs bare language model looks like, youre luck. Theres easy way access GPT3 web browser. How use GPT3Calvin Wankhede Android AuthorityIf want glimpse inner workings ChatGPT, play GPT3. Heres how: Navigate OpenAI Playground web. Click . You use credentials use ChatGPT log OpenAI products. Simply type prompt textbox hit Submit. You compare results OpenAIs chatbot differ. As suggests, OpenAIs Playground customizable according needs. The Temperature slider adjusts randomness responses, impose repetition penalty well. And youre fan ChatGPTs generous character limit, change maximum length slider Playground too. FAQs What architecture GPT use? GPT uses Googles opensource attentionbased Transformer architecture. What GPT stand AI?In context AI chatbots like ChatGPT, GPT stands Generative Pretrained Transformer. It hints machine learning technology ChatGPT. GuidesChatGPTComments | 2,023 | [
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] | 1 | 1,220 |
https://www.androidcentral.com/irobot-gives-roomba-and-braava-users-huge-free-upgrade-genius-ai?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+androidcentral+%28Android+Central%29 | 2020-08-25T00:00:00 | en | iRobot gives Roomba and Braava users a huge free upgrade with Genius AI | Android Central |
iRobot gives Roomba and Braava users a huge free upgrade with Genius AI | Android Central
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A cleaning boost!
iRobot gives Roomba and Braava users a huge free upgrade with Genius AI
This new update is for all users, not just the top-end Roombas.
Nicholas Sutrich
25 Aug 2020
0
Source: iRobot
What you need to know
Brand new iRobot Home app update includes automated recommendations and a friendlier interface for all Wi-Fi-enabled iRobot robots.
Roomba i7/i7+, Roomba s9/s9+, and Braava jet m6 robots get additional smart features thanks to iRobot Genius machine learning.
This update rollout begins on August 25 through the iRobot Home app on Android and iOS.
Roomba and Braava owners, get ready for a huge update that's about to make your cleaning robot a lot more helpful in the future. The iRobot Home app on your Android or iOS device is getting a massive overhaul, with a friendlier interface, brand new automations, and even more precise cleaning abilities. This new app update works for all Wi-Fi-enabled iRobot robots, including many of the best cheap robot vacuums we love from iRobot. The new iRobot Home app will recommend the best times for cleaning your home, including pre-set schedules like weekday mornings. It'll even recommend extra cleanings during allergy season to help make your home a more pleasant environment.
The new iRobot Home app can even tap into your smart home and clean when events are triggered, such as locking the best smart locks like the August Wi-Fi Smart Lock, or with any other product through IFTTT Connect. Newer iRobot robots, like the Roomba i7/i7+, Roomba s9/s9+, and Braava jet m6, all pack more powerful processors inside and are now able to utilize iRobot Genius AI, which relies on machines learning to better clean your home.Check out all of the best VPN services you can use in 2020
Source: iRobot
While all robots can take advantage of the new Favorites feature to create custom cleaning times, these newer robots can also utilize Favorites to create custom cleaning spaces. The new Clean Zones feature lets you denote specific spots in your house that might need regular spot cleanings, like under the dining room table or under the kitchen counters. Users can select these zones on their Smart Maps within the iRobot Home app and can include them in regular cleanings and routines. You can even utilize the names of these zones when asking your favorite virtual assistant to vacuum, so now you can ask Google to clean under the dining room table and it'll understand.
On top of extra customization, the Roomba i7/i7+, Roomba s9/s9+, and Braava jet m6 will recommend times and places to clean around your home, based on what they've learned while cleaning. These robots can also recommend new Keep Out Zones based on trouble spots in the home, so if your vacuum regularly gets stuck on the edge of an area rug or under the furniture, it'll automatically recommend a Keep Out Zone on your Smart Map to prevent this from happening in the future. The new iRobot Home app goes live today, August 25, with the feature rolling out to all Wi-Fi-enabled robots at the same time.
Clean your home more intelligently
iRobot Roomba i7
Let the robot do it for you!
Sick of vacuuming? The iRobot Roomba i7 will do that for you so you can keep up with your favorite things in life instead of your chores.
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Zoom zoom
The Nomad Base Station Pro is the wireless charger you've always dreamed of
FreePower will change your life. Or at least the way you charge your phones.
A better clean
Review: ECOVAC's Auto-Empty Station enhances the T8 AIVI robot vacuum
ECOVAC's Auto-Empty Station works with the OZMO T8 AIVI robot vacuum for easier dustbin removal. We tested it for two weeks to see how well it worked with pet hair, dust, and other debris.
Health watches
Fitbit Sense and Versa 3 unveiled with GPS, Google Assistant, and more
Fitbit has a couple of new smartwatches in town, and they look to be the most impressive yet. Here's a quick look at what you get with the Fitbit Sense and Versa 3!
Charging forward
Double your charging space with these wall outlets with USB ports
One of the biggest headaches in the modern home is the fight for wall outlet real estate. Between traditional lamps, kitchen devices, and smartphones, just about every device and every person is clamoring for charging space. That's why it's a good idea to grab a few wall outlets with USB ports and strategically position them around your home.
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| iRobot gives Roomba and Braava users a huge free upgrade with Genius AI | iRobot gives Roomba Braava users huge free upgrade Genius AI Android Central Dont miss Surfshark ending cheap 2 month VPN plan Forums Shop Toggle Huawei PS5 Android 11 Galaxy S20 OnePlus 8 Pro Disney Pricing Best Antivirus Best VPN Chromebook Deals Best S20 Cases We earn commission purchases links. Learn more. A cleaning boost iRobot gives Roomba Braava users huge free upgrade Genius AI This new update users, topend Roombas. Nicholas Sutrich 25 Aug 2020 0 Source: iRobot What need know Brand new iRobot Home app update includes automated recommendations friendlier interface WiFienabled iRobot robots. Roomba i7i7, Roomba s9s9, Braava jet m6 robots additional smart features thanks iRobot Genius machine learning. This update rollout begins August 25 iRobot Home app Android iOS. Roomba Braava owners, ready huge update thats cleaning robot lot helpful future. The iRobot Home app Android iOS device getting massive overhaul, friendlier interface, brand new automations, precise cleaning abilities. This new app update works WiFienabled iRobot robots, including best cheap robot vacuums love iRobot. The new iRobot Home app recommend best times cleaning home, including preset schedules like weekday mornings. Itll recommend extra cleanings allergy season help home pleasant environment. The new iRobot Home app tap smart home clean events triggered, locking best smart locks like August WiFi Smart Lock, product IFTTT Connect. Newer iRobot robots, like Roomba i7i7, Roomba s9s9, Braava jet m6, pack powerful processors inside able utilize iRobot Genius AI, relies machines learning better clean home.Check best VPN services use 2020 Source: iRobot While robots advantage new Favorites feature create custom cleaning times, newer robots utilize Favorites create custom cleaning spaces. The new Clean Zones feature lets denote specific spots house need regular spot cleanings, like dining room table kitchen counters. Users select zones Smart Maps iRobot Home app include regular cleanings routines. You utilize names zones asking favorite virtual assistant vacuum, ask Google clean dining room table itll understand. On extra customization, Roomba i7i7, Roomba s9s9, Braava jet m6 recommend times places clean home, based theyve learned cleaning. These robots recommend new Keep Out Zones based trouble spots home, vacuum regularly gets stuck edge area rug furniture, itll automatically recommend Keep Out Zone Smart Map prevent happening future. The new iRobot Home app goes live today, August 25, feature rolling WiFienabled robots time. Clean home intelligently iRobot Roomba i7 Let robot Sick vacuuming? The iRobot Roomba i7 favorite things life instead chores. 500 Amazon 500 Best Buy 500 Walmart We earn commission purchases links. Learn more. Zoom zoom The Nomad Base Station Pro wireless charger youve dreamed FreePower change life. Or way charge phones. A better clean Review: ECOVACs AutoEmpty Station enhances T8 AIVI robot vacuum ECOVACs AutoEmpty Station works OZMO T8 AIVI robot vacuum easier dustbin removal. We tested weeks worked pet hair, dust, debris. Health watches Fitbit Sense Versa 3 unveiled GPS, Google Assistant, Fitbit couple new smartwatches town, look impressive yet. Heres quick look Fitbit Sense Versa 3 Charging forward Double charging space wall outlets USB ports One biggest headaches modern home fight wall outlet real estate. Between traditional lamps, kitchen devices, smartphones, device person clamoring charging space. Thats good idea grab wall outlets USB ports strategically position home. Keep Touch Sign latest news, deals Android Central I like receive news offers Future brands. Yes No I like receive mail Future partners. Yes No Sign Me Up No spam, promise. You unsubscribe time share details permission. ViewClose Comments 0 News smart home Load More Phones Reviews Chromebooks Android How To Deals Forums Gaming VPN Other Categories Newsletter Advertising Inquiries Licensing Reprints Tip news Accessibility Statement Windows Central iMore CrackBerry Thrifter TechnoBuffalo MrMobile Log Sign Twitter Facebook YouTube Instagram RSS Brightness Light Mode Dark Mode Future US, . Terms Conditions Policy Careers Licensing External Links Disclosure Accessibility Statement Future US, . Terms Conditions Policy Careers Licensing External Links Disclosure Accessibility Statement | 2,020 | [
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https://www.aninews.in/news/business/business/augnito-announces-its-ai-week-of-rest-all-in-to-recharge-prevent-burnout20211224161447/ | 2021-12-24T00:00:00 | en | Augnito announces its AI Week of Rest: 'All In' to recharge, prevent burnout |
Augnito announces its AI Week of Rest: 'All In' to recharge, prevent burnout
Fri, Dec 24, 2021 |Updated 16:59 IST
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Rustom Lawyer, Co-Founder, Augnito.
Augnito announces its AI Week of Rest: 'All In' to recharge, prevent burnout
ANI |
Updated: Dec 24, 2021 16:14 IST
Mumbai (Maharashtra) [India], December 24 (ANI/PNN): Augnito, India's 1st advanced medical Voice to Text software powering the healthcare industry, has given its full-time employees a week off to recharge and take time off as workplaces around the world head into the new year amidst the new virus variant concerns. Known for being the Employer of Choice in India and the global markets it serves, Augnito.ai recognises the current global scenario, and its "AI Week of Rest" initiative is meant to put its employee's mental well-being at the forefront and allow them to spend quality time with their loved ones this holiday season.In 2021, as COVID-19's devastating second wave hit the world and shores in India, it left everyone feeling overwhelmed and scrambling to adjust to the new life amidst the new variant announcements and loss - all employees felt stressed at multiple times during the year and have gone over and beyond to fulfil their commitments both at work and home. The 'AIl In' AI Week of Rest initiative comes in addition to Augnito's already flexible "Work from Anywhere" policy that it implemented at the beginning of the pandemic back in 2020.Rustom Lawyer, Co-Founder, Augnito said, "We keep our employees at the core of the business and taking time off isn't just encouraged; it's critical. We know that our partners aren't just buying our products; they are also trusting the people behind the scenes who work round the clock to build these revolutionary products and sustain all things at Augnito. It is imperative that as a new-age global health tech startup in the business of reducing physician burnout, we ensure all our teams are equally well-rested and able to support our partners in the long run.This should be a magical time for everyone, and they shouldn't need to return to a mountain of emails waiting in their inbox. Our employees deserve an environment that strikes the right work-life balance required for a fulfilling and innovative work experience."Augnito is India's 1st advanced medical Voice AI solution powering the healthcare industry that was launched in January 2020, with the vision to revolutionise and augment digital adoption in the global healthcare market. Augnito is bootstrapped by Scribetech -- a two-decade-old company that is a pioneer in the medical transcription BPO industry collaborating with the NHS in the UK and independent health sector organisations. Currently, Augnito is deployed in 100-plus hospitals and used by 7000-plus doctors in the country with a global footprint in the UK, US and Middle East.This story is provided by PNN. ANI will not be responsible in any way for the content of this article. (ANI/PNN)
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| Augnito announces its AI Week of Rest: 'All In' to recharge, prevent burnout | Augnito announces AI Week Rest: All In recharge, prevent burnout Fri, Dec 24, 2021 Updated 16:59 IST Toggle navigation Toggle navigation National General News Politics Features World Asia US Europe Pacific Others Middle East Business Corporate Sports Cricket Football Others Tennis Hockey Lifestyle Relationships Sexuality Beauty Parenting Fashion Food Travel Quirky Fitness Culture Entertainment Bollywood Hollywood Music Out box Health Science Tech Mobile Internet Computers Others Environment Videos National World Entertainment Sports Business Health Technology Travel Toggle navigation Rustom Lawyer, CoFounder, Augnito. Augnito announces AI Week Rest: All In recharge, prevent burnout ANI Updated: Dec 24, 2021 16:14 IST Mumbai Maharashtra [India], December 24 ANIPNN: Augnito, Indias 1st advanced medical Voice Text software powering healthcare industry, given fulltime employees week recharge time workplaces world head new year amidst new virus variant concerns. Known Employer Choice India global markets serves, Augnito.ai recognises current global scenario, AI Week Rest initiative meant employees mental wellbeing forefront allow spend quality time loved ones holiday season.In 2021, COVID19s devastating second wave hit world shores India, left feeling overwhelmed scrambling adjust new life amidst new variant announcements loss employees felt stressed multiple times year gone fulfil commitments work home. The AIl In AI Week Rest initiative comes addition Augnitos flexible Work Anywhere policy implemented beginning pandemic 2020.Rustom Lawyer, CoFounder, Augnito said, We employees core business taking time isnt encouraged; critical. We know partners arent buying products; trusting people scenes work round clock build revolutionary products sustain things Augnito. It imperative newage global health tech startup business reducing physician burnout, ensure teams equally wellrested able support partners long run.This magical time everyone, shouldnt need return mountain emails waiting inbox. Our employees deserve environment strikes right worklife balance required fulfilling innovative work experience.Augnito Indias 1st advanced medical Voice AI solution powering healthcare industry launched January 2020, vision revolutionise augment digital adoption global healthcare market. Augnito bootstrapped Scribetech twodecadeold company pioneer medical transcription BPO industry collaborating NHS UK independent health sector organisations. Currently, Augnito deployed 100plus hospitals 7000plus doctors country global footprint UK, US Middle East.This story provided PNN. ANI responsible way content article. ANIPNN Tags Employer Choice India Week Rest Rustom Lawyer employees holiday season healthcare Loading... Related News Sensex snaps 3days rally, closes 191 points Updated: Dec 24, 2021 15:33 IST 4.79 crore new subscribers joined EPF scheme 201721 Updated: Dec 24, 2021 15:17 IST ACE Engineering rebrands online platform ACE Online, launches dedicated Android, Desktop iOS App Updated: Dec 24, 2021 15:07 IST Extramarks brings alive joy learning presents FirstEver Learning Fest Extramarks Weekender January 2022 Updated: Dec 24, 2021 14:56 IST Sara Arfeen Khans charity exhibition reveals artistic Updated: Dec 24, 2021 14:56 IST Simpolo vitrified strengthens presence Virar Updated: Dec 24, 2021 14:50 IST AdPushup clocks 97 percent ARR Growth 2021, hits new milestone Loading... Home Our Products Advertise Us Terms Condition copyrights aninews.in All rights Reserved | 2,021 | [
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https://www.app.com.pk/features/407829/ | 2021-12-12T00:00:00 | en | Farmers face hefty challenges to AI adoption in agriculture sector |
Farmers face hefty challenges to AI adoption in agriculture sector
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Farmers face hefty challenges to AI adoption in agriculture sector
Sun, 12 Dec 2021, 11:10 AM
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Farmers face hefty challenges to AI adoption in agriculture sector
M. Salman Raza
MULTAN, Dec 12 (APP): Farmers of Southern Punjab face challenges in effectively application of Artificial Intelligence (AI) for increasing crops’ cultivation which result in declining the overall crops yield followed by ultimate rising commodity prices in the country.
Agriculture is a major industry in Pakistan which contributes around 20% to the overall GDP and employs almost 50% of it’s’ population, directly or indirectly.
The AI has the potential to help confront one of humanity’s biggest upcoming challenges of feeding extra two billion people by 2050 with only 4% of additional land will be available for cultivation — projected by Pakistan and Gilf Economist (PAGE), a leading weekly financial magazine in its report titled “Artificial Intelligence: The future of Agriculture”.
These are the tools to assess operations coupled with tracking to reap its benefits such as decreasing crop waste, improving food security, minimizing need for chemicals on crops and using resources sustainably. According to research of Sustainable Development Policy Institute (SDPI), presently the three major applications of AI can be used in the country.
Firstly, the Agricultural Robots: It has the capacity to independently handle basic harvesting tasks at a faster pace with greater volume as compared to humans.
This also includes efficient ways such as computer vision for farmers to protect crops from weeds without affecting the crop. Secondly, a major use of technology can monitor and analyze data.
This will tackle many issues like degradation of soil quality that is a major contributor to food insecurity and have overall negative impact on yield.
Computers can use deep learning algorithms to store and process data captured by drones, GPS and field sensors installed in tractors etc.
regarding potential defects and nutrient deficiencies in the soil and crop. This data can be used to monitor the health and readiness of crop and soil with regard to certain defects and diseases. It would enable farmers to take appropriate measures.
Lastly, predictive analytics also have a role to play in the form of precision farming. Machine learning models can be used to track and predict external factors that impact the yield such as temperature changes, rainfall, wind speed and market shifts etc.
For example, an existing app in Pakistan already provides weather notifications, whereas machine learning can take this a step further by customizing the predictions based on the needs of each client. Challenges for Technology Adoption included:
Firstly, there is lack of adequate crops data required for application of such technology. In order to match up all different variables and their possibilities, system requires a lot of different combinations of soil types, weather, seed variety, fertility, water availability, time period etc. Secondly, it may be hard to sell such technology in areas where agricultural technology is not common.
Farmers likely need help to adopt it. Third, new technologies often seem confusing and unreasonably expensive because AgriTech providers fail to clearly explain why their solutions are useful and how exactly they should be implemented.
One of the major hurdles is that Pakistan is in very early stages of this revolution, thus, it needs extensive testing and endorsement for the AI based applications.
It would also require farmers to be equipped with training to ensure they use the technologies effectively by understanding the data and insights provided by experts.
A long-term plan combined with adequate funding is needed to test these technologies in the field. The key to AI being accepted by everybody is the transparency of data and fairness in algorithms. These are the biggest issues that AI needs to tackle.
Commenting over the challenges of farmers, Assistant Professor of computer science from Muhammad Nawaz Sharif (MNS) Agricultural University having expertise in AI subject, Dr Ayesha Hakim said, as an early player in this industry, Pakistan is struggling with data availability and documenting it accurately that is essential for training the algorithm and mining the data. She said the university used to conduct training workshops for farmers hailing not only from Multan, remote districts of the Southern belt.
She said it’s a challenge to process and analyze web content, preparing audio, video files with creating easy text to educate harvesters about the use of technology.
She admitted that there are financial constraints to the technology usage, thus urged upon the authority to ‘subsidize the issue’ locally.
Comparing with New Zealand surviving with agro-based economy, she anticipated that the local cultivators would need a decade to familiarize with the new invention. “It’s in nowhere that 100% technology used, but needs to have access and acceptance of the network by maximum people” said VC of MNS Agricultural University Professor Dr Asif Ali. It’s not for everyone but for the young farmers particularly who want to protect their fields.
Replying query about promotion, the VC said recently an MoU is signed between the university and Concave Agri, a European company, to hold advertisement about AI usage at mass level. Dr Ayeaha said the university’s management is trying to get two projects including Cacophony and Mosquitoes Surveillance from New Zealand to save our potential fields from flies attacks by calculating ‘wind beat frequency’ from affected areas.
By collecting data on plant growth, AI can help produce crops that are less prone to disease and better adapted to weather conditions. In addition, farmers would be able to hold spray only at the targeted area where pests or flies detected. It wouldn’t only help them save money by avoiding spray to the whole of the field, protect human health from hazards of spray and overall environment, she said. Analyzing market demand, forecasting prices, and determining the optimal time for sowing and harvesting are key challenges farmers can solve with AI, she said.
AI can help judge insight of soil health, provide fertilizer’s recommendation, monitoring weather and track the readiness to produce crop, she added. According to VC MNS Agricultural University, this is also a challenge for software companies. They should approach farmers gradually, giving them simpler technology first via agriculture trading platform.
Privacy and security threats like cyber attacks and data leaks may cause farmers serious problems. Unfortunately, many farms are vulnerable to these threats. “There’s still a lot of work to be done by technology providers to help farmers implement it the right way” said the VC.
Government has the capacity to provide ‘agriculture credit’ to small farmers to enable them invest in these inputs and techniques. “Change is inevitable, whether you like it or not. Let’s not give in to the fear of possibilities” said Dr. Asif Ali. He elaborated; a drone camera flies over a field to take images within minutes.
The images will be used to forecast about weather changing pattern, moisture, wind pace, soil condition, harvesting time and detection crops’ diseases at affected areas. Modern spray machines with some particular sensors for detection and elimination of harmful weeds in the agriculture fields can be introduced by the dint of artificial technology in the country.
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| Farmers face hefty challenges to AI adoption in agriculture sector | Farmers face hefty challenges AI adoption agriculture sector Home Top National International Business Featured News Sports Others Domestic CPEC Kashmir Features Visuals Photos General Coverage Sports Feature Photos Videos National Sports Sunday, December 12, 2021 Photo Video Urdu Sindhi Pashto BalochiBrahvi Arabic Saraiki Ehdenau Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Associated Press Of Pakistan Home Top National International Business Featured News Sports Others Domestic CPEC Kashmir Features Visuals Photos General Coverage Sports Feature Photos Videos National Sports Home Features Farmers face hefty challenges AI adoption agriculture sector Features Farmers face hefty challenges AI adoption agriculture sector Sun, 12 Dec 2021, 11:10 AM Twitter Facebook WhatsApp Pinterest Linkedin Email Telegram Farmers face hefty challenges AI adoption agriculture sector M. Salman Raza MULTAN, Dec 12 APP: Farmers Southern Punjab face challenges effectively application Artificial Intelligence AI increasing crops cultivation result declining overall crops yield followed ultimate rising commodity prices country. Agriculture major industry Pakistan contributes 20 overall GDP employs 50 population, directly indirectly. The AI potential help confront humanitys biggest upcoming challenges feeding extra billion people 2050 4 additional land available cultivation projected Pakistan Gilf Economist PAGE, leading weekly financial magazine report titled Artificial Intelligence: The future Agriculture. These tools assess operations coupled tracking reap benefits decreasing crop waste, improving food security, minimizing need chemicals crops resources sustainably. According research Sustainable Development Policy Institute SDPI, presently major applications AI country. Firstly, Agricultural Robots: It capacity independently handle basic harvesting tasks faster pace greater volume compared humans. This includes efficient ways vision farmers protect crops weeds affecting crop. Secondly, major use technology monitor analyze data. This tackle issues like degradation soil quality major contributor food insecurity overall negative impact yield. Computers use deep learning algorithms store process data captured drones, GPS field sensors installed tractors etc. potential defects nutrient deficiencies soil crop. This data monitor health readiness crop soil regard certain defects diseases. It enable farmers appropriate measures. Lastly, predictive analytics role play form precision farming. Machine learning models track predict external factors impact yield temperature changes, rainfall, wind speed market shifts etc. For example, existing app Pakistan provides weather notifications, machine learning step customizing predictions based needs client. Challenges Technology Adoption included: Firstly, lack adequate crops data required application technology. In order match different variables possibilities, requires lot different combinations soil types, weather, seed variety, fertility, water availability, time period etc. Secondly, hard sell technology areas agricultural technology common. Farmers likely need help adopt it. Third, new technologies confusing unreasonably expensive AgriTech providers fail clearly explain solutions useful exactly implemented. One major hurdles Pakistan early stages revolution, thus, needs extensive testing endorsement AI based applications. It require farmers equipped training ensure use technologies effectively understanding data insights provided experts. A longterm plan combined adequate funding needed test technologies field. The key AI accepted everybody transparency data fairness algorithms. These biggest issues AI needs tackle. Commenting challenges farmers, Assistant Professor science Muhammad Nawaz Sharif MNS Agricultural University expertise AI subject, Dr Ayesha Hakim said, early player industry, Pakistan struggling data availability documenting accurately essential training algorithm mining data. She said university conduct training workshops farmers hailing Multan, remote districts Southern belt. She said challenge process analyze web content, preparing audio, video files creating easy text educate harvesters use technology. She admitted financial constraints technology usage, urged authority subsidize issue locally. Comparing New Zealand surviving agrobased economy, anticipated local cultivators need decade familiarize new invention. Its 100 technology used, needs access acceptance network maximum people said VC MNS Agricultural University Professor Dr Asif Ali. Its young farmers particularly want protect fields. Replying query promotion, VC said recently MoU signed university Concave Agri, European company, hold advertisement AI usage mass level. Dr Ayeaha said universitys management trying projects including Cacophony Mosquitoes Surveillance New Zealand save potential fields flies attacks calculating wind beat frequency affected areas. By collecting data plant growth, AI help produce crops prone disease better adapted weather conditions. In addition, farmers able hold spray targeted area pests flies detected. It wouldnt help save money avoiding spray field, protect human health hazards spray overall environment, said. Analyzing market demand, forecasting prices, determining optimal time sowing harvesting key challenges farmers solve AI, said. AI help judge insight soil health, provide fertilizers recommendation, monitoring weather track readiness produce crop, added. According VC MNS Agricultural University, challenge software companies. They approach farmers gradually, giving simpler technology agriculture trading platform. Privacy security threats like cyber attacks data leaks cause farmers problems. Unfortunately, farms vulnerable threats. Theres lot work technology providers help farmers implement right way said VC. Government capacity provide agriculture credit small farmers enable invest inputs techniques. Change inevitable, like not. Lets fear possibilities said Dr. Asif Ali. He elaborated; drone camera flies field images minutes. The images forecast weather changing pattern, moisture, wind pace, soil condition, harvesting time detection crops diseases affected areas. Modern spray machines particular sensors detection elimination harmful weeds agriculture fields introduced dint artificial technology country. Twitter Facebook WhatsApp Pinterest Linkedin Email Telegram Hassan Abbas Paid Advertisements Facebook Feed Associated Press Pakistan NationalContinue category Role Pakistani Ulema lauded jointly handling Sialkot incident Sun, 12 Dec 2021, 1:29 PM President directs SLIC pay Rs 1.6 deceased... Sun, 12 Dec 2021, 12:00 PM PM takes notice legitimate demands Gwadar fishermen Sun, 12 Dec 2021, 11:46 AM PhotosContinue category Model walking ramp 2nd day Fashion Show... Sat, 11 Dec 2021, 9:57 PM Coordination meeting Pakistan Royal Malaysian Navy Lumut Naval... Sat, 11 Dec 2021, 7:51 PM Minister GilgitBaltistan Tourism, Sports Culture Raja Nasir Ali Khan... 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] | 1 | 1,223 |
https://www.apr.org/business-education/business-education/2023-01-26/everybody-is-cheating-why-this-teacher-has-adopted-an-open-chatgpt-policy | 2023-01-26T00:00:00 | en | 'Everybody is cheating': Why this teacher has adopted an open ChatGPT policy | Alabama Public Radio |
'Everybody is cheating': Why this teacher has adopted an open ChatGPT policy | Alabama Public Radio
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Business & Education
'Everybody is cheating': Why this teacher has adopted an open ChatGPT policy
By
Patrick Wood,
Mary Louise Kelly
Published January 26, 2023 at 4:01 AM CST
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Jeff Pachoud
/
AFP via Getty ImagesNot all educators are shying away from artificial intelligence in the classroom.
Ethan Mollick has a message for the humans and the machines: can't we all just get along?
After all, we are now officially in an A.I. world and we're going to have to share it, reasons the associate professor at the University of Pennsylvania's prestigious Wharton School.
"This was a sudden change, right? There is a lot of good stuff that we are going to have to do differently, but I think we could solve the problems of how we teach people to write in a world with ChatGPT," Mollick told NPR.
Ever since the chatbot ChatGPT launched in November, educators have raised concerns it could facilitate cheating.
Some school districts have banned access to the bot, and not without reason. The artificial intelligence tool from the company OpenAI can compose poetry. It can write computer code. It can maybe even pass an MBA exam.
One Wharton professor recently fed the chatbot the final exam questions for a core MBA course and found that, despite some surprising math errors, he would have given it a B or a B-minus in the class.
And yet, not all educators are shying away from the bot.
This year, Mollick is not only allowing his students to use ChatGPT, they are required to. And he has formally adopted an A.I. policy into his syllabus for the first time.
He teaches classes in entrepreneurship and innovation, and said the early indications were the move was going great.
"The truth is, I probably couldn't have stopped them even if I didn't require it," Mollick said.
This week he ran a session where students were asked to come up with ideas for their class project. Almost everyone had ChatGPT running and were asking it to generate projects, and then they interrogated the bot's ideas with further prompts.
"And the ideas so far are great, partially as a result of that set of interactions," Mollick said.
/ OpenAI/Screenshot by NPR
/
OpenAI/Screenshot by NPRUsers experimenting with the chatbot are warned before testing the tool that ChatGPT "may occasionally generate incorrect or misleading information."
He readily admits he alternates between enthusiasm and anxiety about how artificial intelligence can change assessments in the classroom, but he believes educators need to move with the times.
"We taught people how to do math in a world with calculators," he said. Now the challenge is for educators to teach students how the world has changed again, and how they can adapt to that.
Mollick's new policy states that using A.I. is an "emerging skill"; that it can be wrong and students should check its results against other sources; and that they will be responsible for any errors or omissions provided by the tool.
And, perhaps most importantly, students need to acknowledge when and how they have used it.
"Failure to do so is in violation of academic honesty policies," the policy reads.
Mollick isn't the first to try to put guardrails in place for a post-ChatGPT world.
Earlier this month, 22-year-old Princeton student Edward Tian created an app to detect if something had been written by a machine. Named GPTZero, it was so popular that when he launched it, the app crashed from overuse.
"Humans deserve to know when something is written by a human or written by a machine," Tian told NPR of his motivation.
Mollick agrees, but isn't convinced that educators can ever truly stop cheating.
He cites a survey of Stanford students that found many had already used ChatGPT in their final exams, and he points to estimates that thousands of people in places like Kenya are writing essays on behalf of students abroad.
"I think everybody is cheating ... I mean, it's happening. So what I'm asking students to do is just be honest with me," he said. "Tell me what they use ChatGPT for, tell me what they used as prompts to get it to do what they want, and that's all I'm asking from them. We're in a world where this is happening, but now it's just going to be at an even grander scale."
"I don't think human nature changes as a result of ChatGPT. I think capability did."
The radio interview with Ethan Mollick was produced by Gabe O'Connor and edited by Christopher Intagliata. contributed to this story Copyright 2023 NPR. To see more, visit https://www.npr.org.
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There lot good stuff going differently, I think solve problems teach people write world ChatGPT, Mollick told NPR. Ever chatbot ChatGPT launched November, educators raised concerns facilitate cheating. Some school districts banned access bot, reason. The artificial intelligence tool company OpenAI compose poetry. It write code. It maybe pass MBA exam. One Wharton professor recently fed chatbot final exam questions core MBA course that, despite surprising math errors, given B Bminus class. And yet, educators shying away bot. This year, Mollick allowing students use ChatGPT, required to. And formally adopted A.I. policy syllabus time. He teaches classes entrepreneurship innovation, said early indications going great. The truth is, I probably stopped I didnt require it, Mollick said. This week ran session students asked come ideas class project. Almost ChatGPT running asking generate projects, interrogated bots ideas prompts. And ideas far great, partially result set interactions, Mollick said. OpenAIScreenshot NPR OpenAIScreenshot NPRUsers experimenting chatbot warned testing tool ChatGPT occasionally generate incorrect misleading information. He readily admits alternates enthusiasm anxiety artificial intelligence change assessments classroom, believes educators need times. We taught people math world calculators, said. Now challenge educators teach students world changed again, adapt that. Mollicks new policy states A.I. emerging skill; wrong students check results sources; responsible errors omissions provided tool. And, importantly, students need acknowledge it. Failure violation academic honesty policies, policy reads. Mollick isnt try guardrails place postChatGPT world. Earlier month, 22yearold Princeton student Edward Tian created app detect written machine. Named GPTZero, popular launched it, app crashed overuse. Humans deserve know written human written machine, Tian told NPR motivation. Mollick agrees, isnt convinced educators truly stop cheating. He cites survey Stanford students ChatGPT final exams, points estimates thousands people places like Kenya writing essays behalf students abroad. I think everybody cheating ... I mean, happening. So Im asking students honest me, said. Tell use ChatGPT for, tell prompts want, thats Im asking them. Were world happening, going grander scale. I dont think human nature changes result ChatGPT. I think capability did. The radio interview Ethan Mollick produced Gabe OConnor edited Christopher Intagliata. contributed story 2023 NPR. To more, visit Tags Business Education NPR National NewsNPR Top StoriesNPR News Facebook Twitter LinkedIn Email Patrick Wood Patrick Wood digital lead All Things Considered. Previously, reporter editor Australian Broadcasting Corporation. Mary Louise Kelly Mary Louise Kelly cohost All Things Considered, NPRs awardwinning afternoon newsmagazine. See stories Mary Louise Kelly News Alabama Public Radio public service association University Alabama. We depend help programming air online. Please consider supporting news rely donationtoday. Every contribution, matter size, propels vital coverage. Thank you. Donate Stay Connected twitter instagram facebook Digital Media CenterBryantDenny Stadium, Gate 61920 Paul Bryant DriveTuscaloosa, AL 354870370800 6544262 2023 Alabama Public Radio Resources > About APR Us Careers APR Mobile App > Apple devices Android devices | 2,023 | [
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https://www.ashcroftcachecreekjournal.com/trending-now/best-of-ces-2023-electric-skates-pet-tech-and-ai-for-birds/ | 2023-01-04T00:00:00 | en | Best of CES 2023: Electric skates, pet tech and AI for birds - Ashcroft Cache Creek Journal |
Best of CES 2023: Electric skates, pet tech and AI for birds - Ashcroft Cache Creek Journal
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Exhibitor Toru Yamanaka wears a Loovic augmented reality device during CES Unveiled before the start of the CES tech show, Tuesday, Jan. 3, 2023, in Las Vegas. The IoT device, worn around the neck, uses tactile notifications and bone conduction audio to help guide the user without having to constantly look at a map app on their phone. (AP Photo/John Locher)
Best of CES 2023: Electric skates, pet tech and AI for birds
Associated PressJan. 4, 2023 8:30 a.m.Trending Now
Tech companies of all sizes are showing off their latest products at CES, formerly known as the Consumer Electronics show.
The show is getting back to normal after going completely virtual in 2021 and seeing a significant drop in 2022 attendance because of the pandemic.
Exhibitors range from big names including Sony and LG to tiny startups. You might see the next big thing or something that will never make it past the prototype stage.
On Tuesday night, the show kicked off with media previews from just some of the 3,000 companies signed up to attend. CES officially opens Thursday.
Here are some highlights:
POKEMON, BUT MAKE IT BIRDS
Bird Buddy showed off a smart bird feeder that takes snapshots of feathered friends as they fly in to eat some treats. The startup says its AI technology can recognize more than 1,000 species of birds, allowing users to share through a mobile app what kind of birds they’re feeding.
“We try to kind of gamify the collection so it’s a really fun game that you can play — almost like a real life Pokémon Go with real animals and wildlife in your backyard,” said Kyle Buzzard, the company’s co-founder and chief hardware officer.
The product has already sparked some interest from consumers who want to show the world what birds are coming into their backyards.
The company, which began as a Kickstarter project in 2020, says it started shipping its bird feeders in September and has already sold all 100,000 in its inventory. The price for the basic feeder is $199.
ELECTRIC SKATES
Journalists had fun zipping around the exhibit hall on remote-controlled, electric inline skates from French startup AtmosGear.
The battery lasts for 20 miles (32 kilometers), said founder Mohamed Soliman, who hopes people will see them as a viable way to commute, like electric bikes or scooters.
“My goal is for everyone to go skating again because it’s so much fun, every time you see people skating you see them with a big smile,” Soliman said.
A waist bag holds the battery and cables connected to the skates. They also can be used as regular skates when they need to be charged or skaters simply want to travel under their own power.
The $500 skates are available for pre-order. The company has taken orders for 150 pairs so far and is aiming for 200 orders to start production.
DIGITAL TEMPORARY TATTOOS
A handheld device displayed by South Korean company Prinker allows you to quickly and easily apply temporary tattoos.
The device uses cosmetic-grade ink with a library of thousands of designs or the option to make your own with the company’s app. After picking a tattoo, you just wave the device over wherever you want it applied. The tattoos are waterproof but wash off with soap.
The flagship model is $279 and a smaller model is $229. Ink cartridges good for 1,000 tattoos are $119.
HELPING FIND YOUR WAY
Japan-based Loovic has created a device designed to solve the challenges of those who have difficulty navigating while they walk.
The device worn around the neck employs sounds and vibrations to guide users to destinations, enabling them to look at what’s around rather than focusing on a phone’s map app.
Loovic co-founder and CEO Toru Yamanaka said he was inspired to create the device for his son, who has a cognitive impairment making it difficult for him to navigate.
The prototype device is not yet available to the public.
A FITNESS TRACKER FOR YOUR DOG
If you wonder what your dog is doing while you’re not home, French startup Invoxia has a product for you. The company’s smart dog collar monitors your pet’s activity and sleep, sending the data to your phone.
The latest version unveiled at CES, which has a GPS tracker, includes more advanced heart health monitoring.
The collar is $149 in the U.S. while a monthly $8.25 subscription to the app monitors the data and shares it with your veterinarian.
METAVERSE FOR KIDS
The creators of Roybi, an educational AI robot that helps children learn about STEM topics and new languages, are venturing into the metaverse.
The RoybiVerse is expected to offer stations where K-12 and higher education students can learn about a wide range of educational topics.
Users walking around the RoybiVerse will be able to visit an area where they’ll learn about dinosaurs or walk over to the virtual library where they can pick a book and read it.
The RoybiVerse, which is expected to launch by mid-2023, will be available in virtual reality headsets and on a website. No robot needed.
—Adriana Morga, Haleluya Hadero And Cara Rubinsky, The Associated Press
VIDEO: Surveillance is in at CES Gadget Show – in a big way
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| Best of CES 2023: Electric skates, pet tech and AI for birds | Best CES 2023: Electric skates, pet tech AI birds Ashcroft Cache Creek Journal Home Cannabis Submit News Tip News Local News Municipal Election BC Canada Election 2021 National eEditions Submit news tip photo COVID19 Subscription Now Link Account Renew Puzzles Contests Sports BC Canada World Submit sports tip photo Travel Local Travel West Coast Traveller Trending Now Newsletters Autos Good News Classifieds Jobs Business BC Submit business tip photo Entertainment Local BC Submit entertainment tip photo Photo Galleries Life Life Sip Savour Wine Trails Submit life tip photo Community Local Miss BC Social Matters I Love British Columbia Calendar Submit community tip photo Opinion Local Opinion Editorials Columnists Letters BC Opinion Web poll Submit letter Video Video Submit video Black Press TV Weather Obituaries Obituaries Celebrations Life Funeral Care Services In Memory Place Obituary Special Sections The Connector 2017 Telephone Directory Marketplace Place ad Impress branded content Real Estate Us Us Our Team Black Press Submit tip photo FAQ Terms use Site Map News Local News Municipal Election BC National eEditions Newsletters Good News Podcasts BC Politics BC Legislature BC Politics BC Liberals BC NDP BC Green Travel Local Travel West Coast Traveller National Obituaries Celebrations Life Funeral Care Services In Memory Place Obituary eEditions Classifieds Video Marketplace Place ad Impress Real Estate Newsletter Todays Home Autos Contests Notices Cannabis Jobs Trending Now Business Puzzles Us Home Cannabis Submit News Tip News Local News Municipal Election BC Canada Election 2021 National eEditions Submit news tip photo COVID19 Subscription Now Link Account Renew Puzzles Contests Sports BC Canada World Submit sports tip photo Travel Local Travel West Coast Traveller Trending Now Newsletters Autos Good News Classifieds Jobs Business BC Submit business tip photo Entertainment Local BC Submit entertainment tip photo Photo Galleries Life Life Sip Savour Wine Trails Submit life tip photo Community Local Miss BC Social Matters I Love British Columbia Calendar Submit community tip photo Opinion Local Opinion Editorials Columnists Letters BC Opinion Web poll Submit letter Video Video Submit video Black Press TV Weather Obituaries Obituaries Celebrations Life Funeral Care Services In Memory Place Obituary Special Sections The Connector 2017 Telephone Directory Marketplace Place ad Impress branded content Real Estate Us Us Our Team Black Press Submit tip photo FAQ Terms use Site Map Exhibitor Toru Yamanaka wears Loovic augmented reality device CES Unveiled start CES tech show, Tuesday, Jan. 3, 2023, Las Vegas. The IoT device, worn neck, uses tactile notifications bone conduction audio help guide user constantly look map app phone. AP PhotoJohn Locher Best CES 2023: Electric skates, pet tech AI birds Associated PressJan. 4, 2023 8:30 a.m.Trending Now Tech companies sizes showing latest products CES, known Consumer Electronics show. The getting normal going completely virtual 2021 seeing significant drop 2022 attendance pandemic. Exhibitors range big names including Sony LG tiny startups. You big thing past prototype stage. On Tuesday night, kicked media previews 3,000 companies signed attend. CES officially opens Thursday. Here highlights: POKEMON, BUT MAKE IT BIRDS Bird Buddy showed smart bird feeder takes snapshots feathered friends fly eat treats. The startup says AI technology recognize 1,000 species birds, allowing users share mobile app kind birds theyre feeding. We try kind gamify collection fun game play like real life Pokmon Go real animals wildlife backyard, said Kyle Buzzard, companys cofounder chief hardware officer. The product sparked consumers want world birds coming backyards. The company, began Kickstarter project 2020, says started shipping bird feeders September sold 100,000 inventory. The price basic feeder 199. ELECTRIC SKATES Journalists fun zipping exhibit hall remotecontrolled, electric inline skates French startup AtmosGear. The battery lasts 20 miles 32 kilometers, said founder Mohamed Soliman, hopes people viable way commute, like electric bikes scooters. My goal skating fun, time people skating big smile, Soliman said. A waist bag holds battery cables connected skates. They regular skates need charged skaters simply want travel power. The 500 skates available preorder. The company taken orders 150 pairs far aiming 200 orders start production. DIGITAL TEMPORARY TATTOOS A handheld device displayed South Korean company Prinker allows quickly easily apply temporary tattoos. The device uses cosmeticgrade ink library thousands designs option companys app. After picking tattoo, wave device want applied. The tattoos waterproof wash soap. The flagship model 279 smaller model 229. Ink cartridges good 1,000 tattoos 119. HELPING FIND YOUR WAY Japanbased Loovic created device designed solve challenges difficulty navigating walk. The device worn neck employs sounds vibrations guide users destinations, enabling look whats focusing phones map app. Loovic cofounder CEO Toru Yamanaka said inspired create device son, cognitive impairment making difficult navigate. The prototype device available public. A FITNESS TRACKER FOR YOUR DOG If wonder dog youre home, French startup Invoxia product you. The companys smart dog collar monitors pets activity sleep, sending data phone. The latest version unveiled CES, GPS tracker, includes advanced heart health monitoring. The collar 149 U.S. monthly 8.25 subscription app monitors data shares veterinarian. METAVERSE FOR KIDS The creators Roybi, educational AI robot helps children learn STEM topics new languages, venturing metaverse. The RoybiVerse expected offer stations K12 higher education students learn wide range educational topics. Users walking RoybiVerse able visit area theyll learn dinosaurs walk virtual library pick book read it. The RoybiVerse, expected launch mid2023, available virtual reality headsets website. No robot needed. Adriana Morga, Haleluya Hadero And Cara Rubinsky, The Associated Press VIDEO: Surveillance CES Gadget Show big way ScienceTechnology Most Read OPINION: B.C. Realtors explanation property assessment increases affect taxes Business groups optimistic despite Chinas pushback airtravel test requirements Family twoyearold bitten bears sues Greater Vancouver Zoo Unacceptable: Committee chair says Sunwing, Via Rail answer holiday mess Intercity bus route Kamloops Prince George taken Ebus Previous story PODCAST: Elizabeth May Green Party Canada leader Next story Wear shows are, says girl National Ribbon Skirt Day Just Posted Intercity bus route Kamloops Prince George taken Ebus UPDATED: Suspect arrested lengthy standoff Quesnel RCMP Good Samaritan seriously injured helping highway motorist Williams Lake, Quesnel Loaded logging truck catches Highway 97 McLeese Lake Quesnel Explore Ashcroft Cache Creek Journal NEWSSPORTSTRENDING NOWBUSINESSENTERTAINMENTLIFECOMMUNITYOPINIONVIDEOSWEATHEROBITUARIESTRAVELMARKETPLACECONTESTSCONTACT US BLACK PRESS MEDIA Williams Lake Tribune Quesnel Cariboo Observer 100 Mile House Free Press Clearwater North Thompson Times Barriere Star Journal Coast Mountain News UsOur TeamTerms useSite MapAshcroft NewsAshcroft WeatherAshcroft Classifieds 2023, Ashcroft Cache Creek Journal Black Press Group Ltd. | 2,023 | [
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https://www.asiaone.com/business/baidu-world-2021-baidu-showcases-how-latest-ai-innovations-transform-transportation | 2021-08-18T00:00:00 | en | Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry and Daily Life, Business News - AsiaOne |
Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry and Daily Life, Business News - AsiaOne
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Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry and Daily Life
PR Newswire Asia
Aug 18, 2021
BEIJING, Aug. 18, 2021 /PRNewswire/ -- Today, Baidu demonstrated how its latest AI innovations will transform and improve transportation, industry and daily life at its annual flagship technology conference, Baidu World 2021. From a robocar reveal and a rebranded robotaxi mobile platform to Xiaodu's first smart TV and the 2nd generation Kunlun AI chip, Baidu showcased how AI will permeate our daily lives and bring about new, improved experiences. Baidu's mission is to make the complicated world simpler through technology. Speaking on how Baidu is doing this with AI, Baidu Co-founder and CEO Robin Li said, "AI is the combination of technology and feeling. The value of the technology is that everyone can feel the changes brought by it." Baidu Co-founder and CEO Robin Li and CCTV Host Beining Sa on stage at Baidu World 2021 Key highlights from the event that demonstrated transformational experiences as a result of AI include: A new era of autonomous driving – CEO Robin Li unveiled his vision for mobility of the future – a robocar. This robocar, which has L5 autonomous driving capabilities, will be more like an intelligent robot: it will move, it will communicate, and it will learn. Alongside the robocar, Baidu announced a new Luobo Kuaipao robotaxi mobile platform, which aims to commercialize autonomous driving, making hailed autonomous vehicles accessible to the broader public. Together, these announcements demonstrate how the Baidu Apollo intelligent driving program is forging the way towards the era of autonomous driving 2.0 – shifting from technical verification to large-scale operation. Xiaodu's new smart products – Xiaodu announced its first smart TV – the Xiaodu Smart UHD TV V86 – complete with an 86-inch 4K ultra-HD screen, AI-powered voice control and gesture recognition to bring users an upgraded smart TV experience as smart TVs becoming more prevalent in today's households. Xiaodu also announced the TIANTIAN Rotating Smart Display T8, Xiaodu Active Noise Canceling Intelligent Headphones Pro, its first active noise-cancelling headset, and a Xiaodu Intelligent Dictionary Pen. AI-powered search with Baidu APP – Baidu demonstrated onstage how AI technology powers speech recognition search on its Baidu APP, which has 580 million monthly active users. The demonstration showed that despite the length of query or mixing Chinese and English language and dialects, the application delivered results with 98% accuracy. Upgrading industries with AI technology – Baidu AI Cloud has seen strong growth, growing 71% year over year as reported in Baidu's Q2 2021 Earnings Report. This is due, in part, to Baidu's ability to create and execute on more efficient solutions across a variety of industries including manufacturing, energy and city management. At Baidu World, the company featured projects with partners across China including Quanzhou Water Utility Brain, Suzhou Industrial Park, and Lijiang City Brain. Baidu Brain 7.0 – Baidu CTO Haifeng Wang announced the latest version of Baidu Brain, which is differentiated from the 6.0 version by its powerful innovation integration – of knowledge and deep learning, hardware and software, cross-modal and multi-technology fusion, and technology and scenario application fusion – and its reduced threshold for developers to learn the AI platform, enabled by PaddlePaddle. 2nd Generation Kunlun AI Chip – Baidu announced the mass production of the 7nm Kunlun II AI chip, which delivers 2-3x more performance over the previous generation, with a max power consumption of 120W. As the hardware engine of Baidu Brain, Kunlun supports all types of algorithms including speech, vision, natural language processing and intelligent recommendation.
Baidu World 2021 was an opportunity to demonstrate Baidu's vision of how AI will impact, transform and improve the daily lives of people around the world – from smart transportation to smarter homes to intelligent industrial applications. Each year, Baidu aims to make AI solutions more accessible, smarter and more efficient, and encourage the adoption of AI technologies across the spectrum as it continues to innovate for the future. To see the recording of the conference with English translation, please visit: https://www.youtube.com/watch?v=oPjJqofYx7g About Baidu
Founded in 2000, Baidu's mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation. Baidu is traded on the NASDAQ Global Select Market under the symbol "BIDU", and on the main board of the Hong Kong Stock Exchange under the stock code "9888". Currently, one ADS represents eight Class A ordinary shares. Media Contact: [email protected]
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| Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry and Daily Life, Business News | Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry Daily Life, Business News AsiaOne Skip main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Baidu World 2021: Baidu Showcases How Latest AI Innovations Transform Transportation, Industry Daily Life PR Newswire Asia Aug 18, 2021 BEIJING, Aug.18, 2021 PRNewswire Today, Baidu demonstrated latest AI innovations transform improve transportation, industry daily life annual flagship technology conference, Baidu World 2021. From robocar reveal rebranded robotaxi mobile platform Xiaodus smart TV 2nd generation Kunlun AI chip, Baidu showcased AI permeate daily lives bring new, improved experiences. Baidus mission complicated world simpler technology. Speaking Baidu AI, Baidu Cofounder CEO Robin Li said, AI combination technology feeling. The value technology feel changes brought it. Baidu Cofounder CEO Robin Li CCTV Host Beining Sa stage Baidu World 2021 Key highlights event demonstrated transformational experiences result AI include: A new era autonomous driving CEO Robin Li unveiled vision mobility future robocar. This robocar, L5 autonomous driving capabilities, like intelligent robot: move, communicate, learn. Alongside robocar, Baidu announced new Luobo Kuaipao robotaxi mobile platform, aims commercialize autonomous driving, making hailed autonomous vehicles accessible broader public. Together, announcements demonstrate Baidu Apollo intelligent driving program forging way era autonomous driving 2.0 shifting technical verification largescale operation. Xiaodus new smart products Xiaodu announced smart TV Xiaodu Smart UHD TV V86 complete 86inch 4K ultraHD screen, AIpowered voice control gesture recognition bring users upgraded smart TV experience smart TVs prevalent todays households. Xiaodu announced TIANTIAN Rotating Smart Display T8, Xiaodu Active Noise Canceling Intelligent Headphones Pro, active noisecancelling headset, Xiaodu Intelligent Dictionary Pen. AIpowered search Baidu APP Baidu demonstrated onstage AI technology powers speech recognition search Baidu APP, 580 million monthly active users. The demonstration showed despite length query mixing Chinese English language dialects, application delivered results 98 accuracy. Upgrading industries AI technology Baidu AI Cloud seen strong growth, growing 71 year year reported Baidus Q2 2021 Earnings Report. This due, part, Baidus ability create execute efficient solutions variety industries including manufacturing, energy city management. At Baidu World, company featured projects partners China including Quanzhou Water Utility Brain, Suzhou Industrial Park, Lijiang City Brain. Baidu Brain 7.0 Baidu CTO Haifeng Wang announced latest version Baidu Brain, differentiated 6.0 version powerful innovation integration knowledge deep learning, hardware software, crossmodal multitechnology fusion, technology scenario application fusion reduced threshold developers learn AI platform, enabled PaddlePaddle. 2nd Generation Kunlun AI Chip Baidu announced mass production 7nm Kunlun II AI chip, delivers 23x performance previous generation, max power consumption 120W. As hardware engine Baidu Brain, Kunlun supports types algorithms including speech, vision, natural language processing intelligent recommendation. Baidu World 2021 opportunity demonstrate Baidus vision AI impact, transform improve daily lives people world smart transportation smarter homes intelligent industrial applications. Each year, Baidu aims AI solutions accessible, smarter efficient, encourage adoption AI technologies spectrum continues innovate future. To recording conference English translation, visit: About Baidu Founded 2000, Baidus mission complicated world simpler technology. Baidu leading AI company strong Internet foundation. Baidu traded NASDAQ Global Select Market symbol BIDU, main board Hong Kong Stock Exchange stock code 9888. Currently, ADS represents Class A ordinary shares. Media : intlcomm Your daily good stuff AsiaOne stories delivered straight inbox Name Email By signing up, agree Privacy policy. Submit Advertise With UsPrivacy StatementWork With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement Asiaone | 2,021 | [
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https://www.asiaone.com/business/tyan-delivers-ai-and-cloud-optimized-systems-based-3rd-gen-intel-xeon-scalable-processors | 2021-06-07T00:00:00 | en | TYAN Delivers AI and Cloud Optimized Systems based on the 3rd Gen Intel Xeon Scalable Processors at the TYAN 2021 Online Exhibition, Business News - AsiaOne |
TYAN Delivers AI and Cloud Optimized Systems based on the 3rd Gen Intel Xeon Scalable Processors at the TYAN 2021 Online Exhibition, Business News - AsiaOne
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TYAN Delivers AI and Cloud Optimized Systems based on the 3rd Gen Intel Xeon Scalable Processors at the TYAN 2021 Online Exhibition
PR Newswire Asia
Jun 07, 2021
Discover 10-GPU Supercomputing, AI Inference, In-Memory Computing and High IOPS Cloud Platforms at the 3D Virtual Environment
TAIPEI, June 7, 2021 /PRNewswire/ -- TYAN®, an industry-leading server platform design manufacturer and MiTAC Computing Technology Corporation subsidiary, brings 3rd Gen Intel® Xeon® Scalable processor-based server platforms featuring built-in AI acceleration, enhanced security, and a 2X increase in PCIe 4.0 I/O for the most demanding requirements across HPC, cloud, storage and 5G workloads at the TYAN 2021 server solutions online exhibition beginning Jun 3rd. Attendees Can Experience Demonstrations on the Latest 3rd Gen Intel Xeon Scalable Processor Products and Technologies at the 3D Virtual Environment "With AI and cloud growth, our new servers based on 3rd Gen Intel Xeon Scalable processors are designed to deliver a diversity of workloads for high performance systems, like AI inference or deep learning platforms, to a cost-optimized high IOPS cloud storage platform," said Danny Hsu, Vice President of MiTAC Computing Technology Corporation's Server Infrastructure Business Unit.
Tempest and Thunder HX/SX product lineups to enhance AI performance and data storage effectiveness Optimized for AI and HPC applications, the Tempest HX S5642 is a standard server motherboard in SSI CEB (12" x 10.6") form factor. The motherboard is equipped with a single 3rd Gen Intel Xeon Scalable processor socket, 8 DDR4-3200 DIMM slots, two 10GbE and one GbE LAN ports, three PCIe Gen 4.0 x16 and two NVMe M.2 slots. Fueled by 3rd Gen Intel Xeon Scalable processors with built-in AI acceleration, TYAN's Thunder SX TS65-B7120 is a self-contained system and is ideal for AI inference applications. The 2U dual-socket system features 16 DDR4 DIMM slots, five standard PCIe 4.0 slots, twelve front 3.5-inch tool-less SATA drive bays with up to four NVMe U.2 support, and two rear 2.5-inch tool-less SATA drive bays for boot drive deployment.
The Thunder HX TS75-B7122 is a 2U system designed for AI inference and in-memory computing workloads, supporting two 3rd Gen Intel Xeon Scalable processors, 32 DDR4 DIMM slots, two PCIe 4.0 x16 slots for double-width, active-cooled GPUs, and twelve 3.5-inch tool-less SATA drive bays with up to four NVMe U.2 support. The other 2U dual-socket server platform is Thunder SX TS65A-B7126, featuring 16 DDR4 DIMM slots, two PCIe 4.0 x16 slots, and hybrid storage configuration. The TS65A-B7126 accommodates eight NVMe U.2, ten 2.5-inch tool-less SATA drive bays at front, and two rear 2.5-inch tool-less SATA drive bays for boot drive deployment. TYAN's Thunder HX FT83A-B7129 is a 4U dual-socket supercomputer supporting up to ten high-performance GPU cards. Powered by dual 3rd Gen Intel Xeon Scalable processors and 32 DDR4 DIMMs, the FT83A-B7129 platform provides outstanding heterogeneous computing power for a variety of GPU-based scientific high performance computing, AI training, inference, and deep learning applications. The system offers twelve 3.5-inch tool-less drive bays with up to four NVMe U.2 devices support. Tempest and Thunder CX product lineups feature high performance computing requiring large storage capacity The TYAN Tempest CX S7126 is a rack-optimized server motherboard in EATX (12" x 13.1") form factor designed for datacenters with dual 3rd Gen Intel Xeon Scalable processors, 16 DDR4-3200 DIMM slots, two PCIe 4.0 x32 high-density riser slots, two onboard GbE LAN ports and one NVMe M.2 slot. Moreover, the Thunder CX GC68-B7126 and Thunder CX GC68A-B7126 deployed with the same S7126 board in 1U chassis offering different cloud application requirements. The GC68-B7126 accommodates four 3.5-inch SATA drive bays for large storage capacity and four 2.5-inch tool-less NVMe U.2 ones for application cache usage, while GC68A-B7126 offers twelve 2.5-inch tool-less SATA drive bays with support for up to two NVMe U.2 devices for high IOPS storage requirements. Two systems provide up to a pair of PCIe 4.0 x16 expansion slots and an OCP 2.0 LAN mezzanine slot. Please click here for more information and to register. Supporting Resources: Please watch this video about TYAN 3rd Gen Intel Xeon Scalable processor servers designed for AI and Cloud. Related Links :http://www.tyan.com
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| TYAN Delivers AI and Cloud Optimized Systems based on the 3rd Gen Intel Xeon Scalable Processors at the TYAN 2021 Online Exhibition, Business News | TYAN Delivers AI Cloud Optimized Systems based 3rd Gen Intel Xeon Scalable Processors TYAN 2021 Online Exhibition, Business News AsiaOne Skip main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks TYAN Delivers AI Cloud Optimized Systems based 3rd Gen Intel Xeon Scalable Processors TYAN 2021 Online Exhibition PR Newswire Asia Jun 07, 2021 Discover 10GPU Supercomputing, AI Inference, InMemory Computing High IOPS Cloud Platforms 3D Virtual Environment TAIPEI, June 7, 2021 PRNewswire TYAN, industryleading server platform design manufacturer MiTAC Computing Technology Corporation subsidiary, brings3rd Gen Intel Xeon Scalable processorbased server platformsfeaturing builtin AI acceleration, enhanced security, 2X increase PCIe4.0 IO demanding requirements HPC, cloud, storage 5G workloads TYAN 2021 server solutions online exhibitionbeginning Jun 3rd. Attendees Can Experience Demonstrations Latest 3rd Gen Intel Xeon Scalable Processor Products Technologies 3D Virtual Environment With AI cloud growth, new servers based 3rdGen Intel Xeon Scalable processors designed deliver diversity workloads high performance systems, like AI inference deep learning platforms, costoptimized high IOPS cloud storage platform, said Danny Hsu, Vice President MiTAC Computing Technology Corporations Server Infrastructure Business Unit. Tempest Thunder HXSX product lineups enhance AI performance data storage effectiveness Optimized AI HPC applications, Tempest HX S5642is standard server motherboard SSI CEB 12 x 10.6 form factor. The motherboard equipped single 3rd Gen Intel Xeon Scalable processor socket, 8 DDR43200 DIMM slots, 10GbE GbE LAN ports, PCIe Gen 4.0 x16 NVMe M.2 slots. Fueled 3rd Gen Intel Xeon Scalable processors builtin AI acceleration, TYANs Thunder SX TS65B7120is selfcontained ideal AI inference applications. The 2U dualsocket features 16 DDR4 DIMM slots, standard PCIe4.0 slots, 3.5inch toolless SATA drive bays NVMe U.2 support, rear 2.5inch toolless SATA drive bays boot drive deployment. The Thunder HX TS75B7122 2U designed AI inference inmemory computing workloads, supporting two3rd Gen Intel Xeon Scalable processors, 32 DDR4 DIMM slots, PCIe 4.0 x16 slots doublewidth, activecooled GPUs, 3.5inch toolless SATA drive bays NVMe U.2 support. The 2U dualsocket serverplatform Thunder SX TS65AB7126, featuring 16 DDR4 DIMM slots, PCIe 4.0 x16 slots, hybrid storage configuration. The TS65AB7126 accommodates NVMe U.2, 2.5inch toolless SATA drive bays front, rear 2.5inch toolless SATA drive bays boot drive deployment. TYANs Thunder HX FT83AB7129is 4U dualsocket supercomputer supporting highperformance GPU cards. Powered dual 3rd Gen Intel Xeon Scalable processors 32 DDR4 DIMMs, FT83AB7129 platform providesoutstanding heterogeneous computing power variety GPUbased scientific high performance computing, AI training, inference, deep learning applications. The offers 3.5inch toolless drive bays NVMe U.2 devices support. Tempest Thunder CX product lineups feature high performance computing requiring large storage capacity The TYAN Tempest CX S7126is rackoptimized server motherboard EATX 12 x 13.1 form factor designed datacenters dual 3rd Gen Intel Xeon Scalable processors, 16 DDR43200 DIMM slots, PCIe 4.0 x32 highdensity riser slots, onboard GbE LAN ports NVMe M.2 slot. Moreover, Thunder CX GC68B7126and Thunder CX GC68AB7126deployed S7126 board 1U chassis offering different cloud application requirements. The GC68B7126 accommodates 3.5inch SATA drive bays large storage capacity 2.5inch toolless NVMe U.2 ones application cache usage, GC68AB7126 offers 2.5inch toolless SATA drive bays support NVMe U.2 devices high IOPS storage requirements. Two systems provide pair PCIe 4.0 x16 expansion slots OCP 2.0 LAN mezzanine slot. Please click herefor information register. Supporting Resources: Please watch videoabout TYAN 3rd Gen Intel Xeon Scalable processor servers designed AI Cloud. Related Links : Your daily good stuff AsiaOne stories delivered straight inbox Name Email By signing up, agree Privacy policy. Submit Advertise With UsPrivacy StatementWork With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement Asiaone | 2,021 | [
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https://www.atlanticfinancialmanagement.co.uk/pressroom/news/248862/artificial-intelligence-ai-software-market-size-growth-key-factors-by-manufacturers-intel-iflytek-ibm-kitt-ai-microsoft-brighterion-google-megvii-technology-sap-baidu-salesforce/ | 2021-02-17T00:00:00 | en | Artificial Intelligence (AI) Software Market Size, Growth Key Factors by Manufacturers – Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce – Atlantic Financial Management |
Artificial Intelligence (AI) Software Market Size, Growth Key Factors by Manufacturers – Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce – Atlantic Financial Management
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Artificial Intelligence (AI) Software Market Size, Growth Key Factors by Manufacturers – Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce
Byanita_adroit
Feb 17, 2021
“
Artificial Intelligence (AI) Software Market Statistical surveying Report assesses circumstance in significant parts of the marketplace. This Artificial Intelligence (AI) Software report determines how associations procurement utilizes, business processes, market plans and revenue strategies, practices, and company segments are set to transform in period 2021 to 2027. The Worldwide Artificial Intelligence (AI) Software Market 2021 report presents general sector information to the most important management, entrants, leaders and retailers of a proper Artificial Intelligence (AI) Software knowledge important in analyzing the overall financial situation. The Artificial Intelligence (AI) Software report includes a tactical information of the significant Artificial Intelligence (AI) Software markets, facilities around business detail which incorporates limitations, openings, forcing factors, chief difficulties and tendencies in the Artificial Intelligence (AI) Software deals. The report communicates accurate analysis of this Artificial Intelligence (AI) Software market quantity, prime fragments, sales revenue, share of the general sector, and spreads driving regional locales, expecting the future patterns sector within the prediction to 2027. The general Artificial Intelligence (AI) Software industry report covers the prevailing gamers and potential trends.
Request for a sample report here https://www.orbisresearch.com/contacts/request-sample/5472944
The report shows the Artificial Intelligence (AI) Software market principles: Market Diagram, definitions, groupings, segments by kind Classification, software, industry series outline, and gamers. Fundamental Driving players at the marketplace are:
Intel
IFlyTek
IBM
KITT.AI
Microsoft
Brighterion
Google
Megvii Technology
SAP
Baidu
Salesforce
Artificial Intelligence (AI) Software Economy fragment by Types, the marketplace can be a part of:
On-Premise
On-Cloud
Artificial Intelligence (AI) Software Economy segment by Users/Application, the marketplace can be a part of:
Retail and Ecommerce
Transportation and Automotive
BFSI
IT & Telecommunication
Healthcare and Pharmaceutical
Industrial Automation
Experiences of specialists together with, market openings, restraints, and growth have been shrouded within this Artificial Intelligence (AI) Software report. It presents Artificial Intelligence (AI) Software market branches to expect developing ones and provides definite sectors of their Artificial Intelligence (AI) Software company based on type classes, Artificial Intelligence (AI) Software programs and important areas. Thorough rumination of all Artificial Intelligence (AI) Software share of the general sector and responsibilities is similarly given in the report.
It includes Artificial Intelligence (AI) Software driving boosting players together with their varied systems and methodologies used. In general Artificial Intelligence (AI) Software report ponder additionally provides data about sub-regional and international markets and including parts. The industry flow that proceeds altering after a while and comprehensive examination of Artificial Intelligence (AI) Software marketplace sources are known to.
It contributes to a deeper investigation of current and previous Artificial Intelligence (AI) Software market trend to expect future market growth so far as quantity and esteem. Additionally, it figures centre model of this Artificial Intelligence (AI) Software business, by way of instance, present headways and growth and Artificial Intelligence (AI) Software communicate essential market briefing like tables, pie outlines, diagrams and flows graphs.
The prognosis for International Artificial Intelligence (AI) Software Industry: The report may be customized along with other areas can be added according to Artificial Intelligence (AI) Software market customer’s requirements. The Artificial Intelligence (AI) Software report have been grouped based on significant player/manufacturers, product types and programs and important geographical areas.
Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/5472944
Artificial Intelligence (AI) Software is a niche market and demands that the gathering of qualitative and qualitative information using key strategies, exhibit true market share, together with emerging markets around the regional and worldwide level. It gives clear Artificial Intelligence (AI) Software instinct of increasing demands, contemporary, and future demands of this business. Artificial Intelligence (AI) Software market ability, evaluation, and expansion element from 2021 into 2027 will also be covered in this research.
Latest industry study report on Worldwide Artificial Intelligence (AI) Software Industry comprises a thorough analysis of this marketplace. The report looks in detail in the processes, destinations, approaches, diverts, and challenges related to this new study, and the report provides a comprehensive investigation of Artificial Intelligence (AI) Software marketplace which starts from an evaluation of Porters five forces, and SWOT analysis. The Artificial Intelligence (AI) Software examination includes notable information which helps make the accounts a priceless benefit for business administrators, prices and chiefs, advisers, experts, in addition to some other people searching for entering business information in immediately open records jointly with apparently released tables and diagrams in this Artificial Intelligence (AI) Software report.
Important advancements, supply chain data of Artificial Intelligence (AI) Software and current market actions will help present market players in addition to new entrants in devising Artificial Intelligence (AI) Software market business plans and to attain their planned business goals. The report is a true and superior research study on the Artificial Intelligence (AI) Software marketplace. This report is based on the data and interviews conducted by Artificial Intelligence (AI) Software manufacturers and their customers using demand-side research. The amalgamation of checks and balances united with between the players in the business and provides a clear and precise image of the whole Artificial Intelligence (AI) Software marketplace.
– Business (leading players) profiles jointly with earnings, and price of International Artificial Intelligence (AI) Software at 2019 and 2020;
– Evaluation of competition Among the best manufacturers with earnings, earnings and market share in 2019 and 2020;
– Global Artificial Intelligence (AI) Software analysis by countries, by kind, from the app, and from manufacturers, together with earnings and market share by key Nations in these regions;
– Revenue station, sellers, traders and sellers of global Artificial Intelligence (AI) Software marketplace;
Advance developments, supply chain statistics of Artificial Intelligence (AI) Software and current market actions will help existing market players as well as new entrants in devising Artificial Intelligence (AI) Software market business plans and to achieve their intended business objectives. The report is an accurate and quality research study on the Artificial Intelligence (AI) Software marketplace. This report is based on the data and interviews conducted by Artificial Intelligence (AI) Software manufacturers and their customers with demand-side research. The amalgamation of checks and balances united with involving the players in the industry and provides a clear and precise picture of the whole Artificial Intelligence (AI) Software marketplace.
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| Artificial Intelligence (AI) Software Market Size, Growth Key Factors by Manufacturers | Artificial Intelligence AI Software Market Size, Growth Key Factors Manufacturers Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce Atlantic Financial Management Skip content Wed. Feb 17th, 2021 Atlantic Financial Management Energy Pressroom Space All News News Artificial Intelligence AI Software Market Size, Growth Key Factors Manufacturers Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce Byanita_adroit Feb 17, 2021 Artificial Intelligence AI Software Market Statistical surveying Report assesses circumstance significant parts marketplace. This Artificial Intelligence AI Software report determines associations procurement utilizes, business processes, market plans revenue strategies, practices, company segments set transform period 2021 2027. The Worldwide Artificial Intelligence AI Software Market 2021 report presents general sector information important management, entrants, leaders retailers proper Artificial Intelligence AI Software knowledge important analyzing overall financial situation. The Artificial Intelligence AI Software report includes tactical information significant Artificial Intelligence AI Software markets, facilities business incorporates limitations, openings, forcing factors, chief difficulties tendencies Artificial Intelligence AI Software deals. The report communicates accurate analysis Artificial Intelligence AI Software market quantity, prime fragments, sales revenue, share general sector, spreads driving regional locales, expecting future patterns sector prediction 2027. The general Artificial Intelligence AI Software industry report covers prevailing gamers potential trends. Request sample report The report shows Artificial Intelligence AI Software market principles: Market Diagram, definitions, groupings, segments kind Classification, software, industry series outline, gamers. Fundamental Driving players marketplace are: Intel IFlyTek IBM KITT.AI Microsoft Brighterion Google Megvii Technology SAP Baidu Salesforce Artificial Intelligence AI Software Economy fragment Types, marketplace of: OnPremise OnCloud Artificial Intelligence AI Software Economy segment UsersApplication, marketplace of: Retail Ecommerce Transportation Automotive BFSI IT Telecommunication Healthcare Pharmaceutical Industrial Automation Experiences specialists with, market openings, restraints, growth shrouded Artificial Intelligence AI Software report. It presents Artificial Intelligence AI Software market branches expect developing ones provides definite sectors Artificial Intelligence AI Software company based type classes, Artificial Intelligence AI Software programs important areas. Thorough rumination Artificial Intelligence AI Software share general sector responsibilities similarly given report. It includes Artificial Intelligence AI Software driving boosting players varied systems methodologies used. In general Artificial Intelligence AI Software report ponder additionally provides data subregional international markets including parts. The industry flow proceeds altering comprehensive examination Artificial Intelligence AI Software marketplace sources known to. It contributes deeper investigation current previous Artificial Intelligence AI Software market trend expect future market growth far quantity esteem. Additionally, figures centre model Artificial Intelligence AI Software business, way instance, present headways growth Artificial Intelligence AI Software communicate essential market briefing like tables, pie outlines, diagrams flows graphs. The prognosis International Artificial Intelligence AI Software Industry: The report customized areas added according Artificial Intelligence AI Software market customers requirements. The Artificial Intelligence AI Software report grouped based significant playermanufacturers, product types programs important geographical areas. Ask Expert You Have Query at: Artificial Intelligence AI Software niche market demands gathering qualitative qualitative information key strategies, exhibit true market share, emerging markets regional worldwide level. It gives clear Artificial Intelligence AI Software instinct increasing demands, contemporary, future demands business. Artificial Intelligence AI Software market ability, evaluation, expansion element 2021 2027 covered research. Latest industry study report Worldwide Artificial Intelligence AI Software Industry comprises thorough analysis marketplace. The report looks processes, destinations, approaches, diverts, challenges related new study, report provides comprehensive investigation Artificial Intelligence AI Software marketplace starts evaluation Porters forces, SWOT analysis. The Artificial Intelligence AI Software examination includes notable information helps accounts priceless benefit business administrators, prices chiefs, advisers, experts, addition people searching entering business information immediately open records jointly apparently released tables diagrams Artificial Intelligence AI Software report. 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Business leading players profiles jointly earnings, price International Artificial Intelligence AI Software 2019 2020; Evaluation competition Among best manufacturers earnings, earnings market share 2019 2020; Global Artificial Intelligence AI Software analysis countries, kind, app, manufacturers, earnings market share key Nations regions; Revenue station, sellers, traders sellers global Artificial Intelligence AI Software marketplace; Advance developments, supply chain statistics Artificial Intelligence AI Software current market actions help existing market players new entrants devising Artificial Intelligence AI Software market business plans achieve intended business objectives. The report accurate quality research study Artificial Intelligence AI Software marketplace. This report based data interviews conducted Artificial Intelligence AI Software manufacturers customers demandside research. The amalgamation checks balances united involving players industry provides clear precise picture Artificial Intelligence AI Software marketplace. 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.: USA: 1 9723628199 IND: 91 895 659 5155 Email ID: [emailprotected] Post navigation Artificial Intelligence AI Real Estate Market Size, Growth Key Factors Manufacturers Skyline AI, Engel Vlkers, Baidu ., Cape Analytics, IBM, PwC By anita_adroit Related Post News Artificial Intelligence AI Real Estate Market Size, Growth Key Factors Manufacturers Skyline AI, Engel Vlkers, Baidu ., Cape Analytics, IBM, PwC Feb 17, 2021 anita_adroit All News News Cosmetic Raw Materials Market Size, Key Players, Trends, Growth Analysis, Opportunities 20212027 Feb 17, 2021 Freya Davies All News News North America, Europe, AsiaPacific, South America, Middle East Africa Automated Truck Loading System Market Size, Key Players, Trends, Growth Analysis, Opportunities 20212027 Feb 17, 2021 Freya Davies Recent Posts Transportation Management System Market Size, Growth Key Factors Manufacturers BluJay Solutions, CargoSmart Ltd, JDA Software Group, ., MercuryGate International, Summit Partners , Metro Infrasys Private Limited, McLeod Software Corporation, ., Werner Enterprises, ., SAP SE, 3Gtms Sumeru Equity Partners , Riege Software, Oracle Corporation, Accenture PLC, Manhattan Associates, Artificial Intelligence AI Software Market Size, Growth Key Factors Manufacturers Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce Emergency Medical Service EMS Software Market Size, Growth Key Factors Manufacturers Pepid, DSS, RAM Software Systems, MRESnet, Adashi Systems, TheSolvingMachine, Emergency Technologies, Collabria, NEMT Cloud Dispatch, Sundance Systems, Traumasoft, veEDIS Clinical Systems 3D Rendering And Virtualization Software Market Size, Growth Key Factors Manufacturers Pixar, Chaos Group, AUTODESK, Bunkspeed3ds, Otoy, Lumion, NextLimit, Advent, Solid Angle, Cebas, SolidIRIS, NVIDIA, LUXIONKeyShot, Robert McNeel Ecommerce Analytics Software Market Size, Growth Key Factors Manufacturers Mixpanel, Metrilo, CAKE, Dataweave, Bluecore, Magento Commerce, Woopra, OWOX, Reviewbox, ChannelApe, Glew, EunaRede, Kissmetrics Archives February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Pressroom Space Meta Log Entries feed Comments feed You missed Pressroom Transportation Management System Market Size, Growth Key Factors Manufacturers BluJay Solutions, CargoSmart Ltd, JDA Software Group, ., MercuryGate International, Summit Partners , Metro Infrasys Private Limited, McLeod Software Corporation, ., Werner Enterprises, ., SAP SE, 3Gtms Sumeru Equity Partners , Riege Software, Oracle Corporation, Accenture PLC, Manhattan Associates, Feb 17, 2021 anita_adroit News Artificial Intelligence AI Software Market Size, Growth Key Factors Manufacturers Intel, IFlyTek, IBM, KITT.AI, Microsoft, Brighterion, Google, Megvii Technology, SAP, Baidu, Salesforce Feb 17, 2021 anita_adroit All News Emergency Medical Service EMS Software Market Size, Growth Key Factors Manufacturers Pepid, DSS, RAM Software Systems, MRESnet, Adashi Systems, TheSolvingMachine, Emergency Technologies, Collabria, NEMT Cloud Dispatch, Sundance Systems, Traumasoft, veEDIS Clinical Systems Feb 17, 2021 anita_adroit Space 3D Rendering And Virtualization Software Market Size, Growth Key Factors Manufacturers Pixar, Chaos Group, AUTODESK, Bunkspeed3ds, Otoy, Lumion, NextLimit, Advent, Solid Angle, Cebas, SolidIRIS, NVIDIA, LUXIONKeyShot, Robert McNeel Feb 17, 2021 anita_adroit Atlantic Financial Management Proudly powered WordPress Theme: Newsup Themeansar. 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] | 1 | 1,228 |
https://www.augustman.com/th/gear/tech/openai-what-to-know-about-the-company-behind-chatgpt/ | 2022-12-29T00:00:00 | en | OpenAI: Everything To Know About The Company Behind ChatGPT |
OpenAI: Everything To Know About The Company Behind ChatGPT
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Home > Gear > Tech > What We Know So Far About Elon Musk’s OpenAI, The Maker Of ChatGPT
Gear
What We Know So Far About Elon Musk’s OpenAI, The Maker Of ChatGPT
By: Trinetra Paul,
Dec 28 2022 5:00 pm
Speak of Elon Musk and in all probability, companies like Twitter, Tesla or SpaceX will come to your mind. But little do people know about Elon Musk’s company OpenAI — an artificial intelligence (AI) research and development firm that is behind the disruptive chatbot ChatGPT.
The brainchild of Musk and former Y Combinator president Sam Altman, OpenAI launched ChatGPT in November 2022 and within a week, the application saw a spike of over a million users. Being able to do anything between coding and interacting that mimics human intelligence, ChatGPT has surpassed previous standards of AI capabilities and has introduced a new chapter in AI technologies and machine learning systems.
If you are intrigued by artificial intelligence and take an interest in deep learning and how they can benefit humanity, then you must know about the history of OpenAI and the levels AI development has reached.
Here are all the details about OpenAI, co-founded by Elon Musk
When was OpenAI launched and who are its bosses?
Image credit: Sam Altman/ @sama/ Twitter; Image credit: Suzanne Cordeiro/ AFP
Launched in 2015 and headquartered in San Francisco, this altruistic artificial intelligence company was founded by Musk and Altman. They saw collaborations with other Silicon Valley tech experts like Peter Thiel and LinkedIn co-founder Reid Hoffman who pledged USD 1 billion for OpenAI that year.
To quote an OpenAI blog, “OpenAI is a non-profit artificial intelligence research company.” It further said, “OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity” in a holistic way, with no hope for profit.
Today, OpenAI LP is governed by the board of OpenAI non-profit. It comprises OpenAI LP employees Greg Brockman (chairman and president), Ilya Sutskever (chief scientist) and Sam Altman (chief executive officer). It also has non-employees Adam D’Angelo, Reid Hoffman, Will Hurd, Tasha McCauley, Helen Toner and Shivon Zilis onboard as investors and Silicon Valley support.
Key strategic investors include Microsoft, Hoffman’s charitable foundation and Khosla Ventures.
In 2018, three years after the company came into being, Elon Musk resigned from OpenAI’s Board to avoid any future conflict as Tesla continues to expand in the artificial intelligence field. However, Musk will continue to donate to its non-profit cause and be a strong advisor.
Elon Musk’s involvement in OpenAI
Image credit: AFP PHOTO / TED CONFERENCES / RYAN LASH
Although Elon Musk’s resignation was announced by OpenAI on grounds of conflict of interest, the current Twitter supremo later said that he quit because he couldn’t agree with certain company decisions and that he wasn’t involved with the artificial intelligence firm for over a year.
Plus, Tesla was also looking to hire some of the same employees as OpenAI and, therefore, “Add that all up & it was just better to part ways on good terms,” he tweeted.
However, things did not end there. In 2020, Musk tweeted “OpenAI should be more open imo,” answering an MIT Technology Review investigation that unearthed a deep-rooted secretive business model which contradicts its no-profit ideology and transparency.
OpenAI should be more open imo
— Elon Musk (@elonmusk) February 17, 2020
Musk has also raised questions over safety concerns and tweeted, mentioning Dario Amodei, a former Google engineer who now leads OpenAI’s strategy, “I have no control & only very limited insight into OpenAI. Confidence in Dario for safety is not high.”
Open AI Gym
Image credit: Kevin Ku/ @ikukevk/ Unsplash
Over the years, OpenAI has set a high benchmark in the artificial general intelligence segment with innovations and products that are aimed at mimicking human behaviour and even surpass human intelligence.
In April 2016, the company announced the launch of the OpenAI Gym, “a toolkit for developing and comparing reinforcement learning algorithms.” Wondering what it is?
Reinforcement learning (RL) “is the subfield of machine learning concerned with decision making and motor control. It studies how an agent can learn how to achieve goals in a complex, uncertain environment,” says an OpenAI blog. These environments range from simulated robots to Atari Games and algorithmic evaluations.
To put it in simple terms, the OpenAI Gym enables researchers and research organisations to obtain the best result and arrive at a conclusive decision based on AI inputs. In fact, the gym was initially established to further the company’s own deep reinforcement learning research and extend artificial intelligence in the realms of conclusive evaluation.
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OpenAI Universe
Image credit: Possessed Photography/ @possessedphotography/ Unsplash
In December 2016, OpenAI announced another product called Universe. An OpenAI blog says it is a “software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other applications.”
In the realm of artificial intelligence, it is imperative for an AI system to complete all kinds of tasks successfully that a human being can do using a computer. Additionally, Universe helps train a single AI agent in completing computer tasks. And, when coupled with OpenAI Gym, this deep learning mechanism also uses its experiences and adapts to difficult or unseen environments to complete a task at hand.
OpenAI ChatGPT
Image credit: Altum Code/ @altumcode/ Unsplash
Advancing machine learning to foray artificial intelligence into the segment of human interaction is a path-breaking innovation, and OpenAI’s chatbot GPT is a ‘disruptive’ name in this sector. A chatbot is an artificial intelligence-based software application which can make human-like conversations. ChatGPT was launched on 30 November and within a week it garnered a whopping million users.
An OpenAI blog post states that their ChatGPT model is trained with a deep machine learning technique called Reinforcement Learning from Human Feedback (RLHF) that helps simulate dialogue, answer follow-up questions, admit mistakes, challenge incorrect premises and reject inappropriate requests.
While Musk chimed in to praise the chatbot and tweeted saying, “ChatGPT is scary good. We are not far from dangerously strong AI,” he later took to the microblogging site and said that OpenAI has access to Twitter’s database, which it used to train the tool. He added, “OpenAI was started as open-source & non-profit. Neither are still true.”
The Generative Pre-trained Transformer (GPT)-3 model has gained a lot of buzz. It is essentially a language model that leverages deep learning to generate human-like text. Along with machine-generated texts, it can also produce stories, poems as well as codes. It is deemed as an upgrade on the previous GPT-2 model, released in 2019, which is a large transformer-based language model with 1.5 billion parameters, trained on a dataset of 8 million web pages. To put it simply, language models are a set of statistical tools that enable such technology to predict the next word or syntax of the sentence.
Non-profit to capped-profit
Image credit: Andy Kelly/ @askkell/ Unsplash
Interestingly, in 2019, OpenAI also goes from being a non-profit organisation to a for-profit entity. In an OpenAI released blog, it said, “We want to increase our ability to raise capital while still serving our mission, and no pre-existing legal structure we know of strikes the right balance. Our solution is to create OpenAI LP as a hybrid of a for-profit and nonprofit — which we are calling a ‘capped-profit’ company.”
With this, other investors can earn up to 100 times their principal amount but not go beyond that, and the rest of the profit would go towards non-profit works.
OpenAI collaborates with other tech giants
Over the years, OpenAI has made itself a pioneering name in developing AI algorithms that can benefit society and, in this regard, it has partnered with other institutions.
In 2019, the company joined hands with Microsoft as the latter invested USD 1 billion, while the AI firm said it would exclusively licence its technology with the tech company, as per a Business Insider report. This would give Microsoft an edge over other organisations like Google’s DeepMind AI company.
AI paints original masterpieces
Image credit: OpenAI
In 2021, Open AI took a futuristic leap and created DALL-E, one of the best AI tools that can make some of the most stunning masterpieces. And just a year later, it upgraded itself to launch Dall-E2, which provides images with 4x greater resolution and precision.
Dall-E2 “is a new AI system that can create realistic images and art from a description in natural language.” With swift strokes, this human-like robot hand can paint artworks that merge concepts, attributes and style. If that is not enough, Dall-E2 can build on an existing art piece and create new expanded original canvases. It can add unimaginably realistic edits to an existing image, generating different variations of a previous image.
Is a human-like robot hand becoming the future?
Such intensive AI innovations and long-term research just go on to show how machines have acquired close to human-like attributes. However, experts have also seen it as the biggest existential threat to humanity, and Elon Musk, too, has shared the same thought.
While humans are the ones who have created it, Stephen Hawking had once told the BBC that AI could potentially “‘re-design itself at an ever-increasing rate,’ superseding humans by outpacing biological evolution.’
There is no denying that artificial intelligence has been taking giant leaps and has its impact felt in almost every aspect. From churning out daily news stories to creating world-class classical art and even making a full-fledged conversation, artificial intelligence and its dynamics have incredible potential, but what is in store for the future is left to be seen.
(Hero image credit: Possessed Photography/ @possessedphotography/ Unsplash; Feature image credit: Andrea De Santis/ @santesson89/ Unsplash)
artificial intelligence
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written by.
Trinetra Paul
Trinetra is an ardent foodie and bibliophile who writes about films, travel, food and lifestyle. As a writer and literature student, slam poetry and storytelling are her go to jam. When not working, Trinetra is busy looking for her next place to visit or binge-watching Instagram videos for travel inspiration.
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| OpenAI: Everything To Know About The Company Behind ChatGPT | OpenAI: Everything To Know About The Company Behind ChatGPT TH SG MY IN HK Style Fashion Grooming Watches Culture Art Design Events Film TV Living Music Gear Motoring Tech Food Drink Dining Drinks Travel Hotels Resorts Travel Guides Wellness Fitness Health AM Select AListers August Mentors Hit List Emagazine Style Fashion Grooming Watches Culture Art Design Events Film TV Living Music Gear Motoring Tech Food Drink Dining Drinks Travel Hotels Resorts Travel Guides Wellness Fitness Health AM Select EMagazine Home > Gear > Tech > What We Know So Far About Elon Musks OpenAI, The Maker Of ChatGPT Gear What We Know So Far About Elon Musks OpenAI, The Maker Of ChatGPT By: Trinetra Paul, Dec 28 2022 5:00 pm Speak Elon Musk probability, companies like Twitter, Tesla SpaceX come mind. But little people know Elon Musks company OpenAI artificial intelligence AI research development firm disruptive chatbot ChatGPT. The brainchild Musk Y Combinator president Sam Altman, OpenAI launched ChatGPT November 2022 week, application saw spike million users. Being able coding interacting mimics human intelligence, ChatGPT surpassed previous standards AI capabilities introduced new chapter AI technologies machine learning systems. If intrigued artificial intelligence deep learning benefit humanity, know history OpenAI levels AI development reached. Here details OpenAI, cofounded Elon Musk When OpenAI launched bosses? Image credit: Sam Altman Twitter; Image credit: Suzanne Cordeiro AFP Launched 2015 headquartered San Francisco, altruistic artificial intelligence company founded Musk Altman. They saw collaborations Silicon Valley tech experts like Peter Thiel LinkedIn cofounder Reid Hoffman pledged USD 1 billion OpenAI year. To quote OpenAI blog, OpenAI nonprofit artificial intelligence research company. It said, OpenAIs mission ensure artificial general intelligence benefits humanity holistic way, hope profit. Today, OpenAI LP governed board OpenAI nonprofit. It comprises OpenAI LP employees Greg Brockman chairman president, Ilya Sutskever chief scientist Sam Altman chief executive officer. It nonemployees Adam DAngelo, Reid Hoffman, Will Hurd, Tasha McCauley, Helen Toner Shivon Zilis onboard investors Silicon Valley support. Key strategic investors include Microsoft, Hoffmans charitable foundation Khosla Ventures. In 2018, years company came being, Elon Musk resigned OpenAIs Board avoid future conflict Tesla continues expand artificial intelligence field. However, Musk continue donate nonprofit cause strong advisor. Elon Musks involvement OpenAI Image credit: AFP PHOTO TED CONFERENCES RYAN LASH Although Elon Musks resignation announced OpenAI grounds conflict interest, current Twitter supremo later said quit agree certain company decisions wasnt involved artificial intelligence firm year. Plus, Tesla looking hire employees OpenAI and, therefore, Add better ways good terms, tweeted. However, things end there. In 2020, Musk tweeted OpenAI open imo, answering MIT Technology Review investigation unearthed deeprooted secretive business model contradicts noprofit ideology transparency. OpenAI open imo Elon Musk February 17, 2020 Musk raised questions safety concerns tweeted, mentioning Dario Amodei, Google engineer leads OpenAIs strategy, I control limited insight OpenAI. Confidence Dario safety high. Open AI Gym Image credit: Kevin Ku Unsplash Over years, OpenAI set high benchmark artificial general intelligence segment innovations products aimed mimicking human behaviour surpass human intelligence. In April 2016, company announced launch OpenAI Gym, toolkit developing comparing reinforcement learning algorithms. Wondering is? Reinforcement learning RL subfield machine learning concerned decision making motor control. It studies agent learn achieve goals complex, uncertain environment, says OpenAI blog. These environments range simulated robots Atari Games algorithmic evaluations. To simple terms, OpenAI Gym enables researchers research organisations obtain best result arrive conclusive decision based AI inputs. In fact, gym initially established companys deep reinforcement learning research extend artificial intelligence realms conclusive evaluation. Gear ChatGPT: Check Out Elon Musks New Chatbot That Has Become A Viral Sensation By Aayaan Upadhyaya, Dec 07 Gear What We Know About Teslas Wireless Charging Platform That Can Rapidly Charge Up To Three Devices By Manas Sen Gupta, Dec 26 OpenAI Universe Image credit: Possessed Photography Unsplash In December 2016, OpenAI announced product called Universe. An OpenAI blog says software platform measuring training AIs general intelligence worlds supply games, websites applications. In realm artificial intelligence, imperative AI complete kinds tasks successfully human computer. Additionally, Universe helps train single AI agent completing tasks. And, coupled OpenAI Gym, deep learning mechanism uses experiences adapts difficult unseen environments complete task hand. OpenAI ChatGPT Image credit: Altum Code Unsplash Advancing machine learning foray artificial intelligence segment human interaction pathbreaking innovation, OpenAIs chatbot GPT disruptive sector. A chatbot artificial intelligencebased software application humanlike conversations. ChatGPT launched 30 November week garnered whopping million users. An OpenAI blog post states ChatGPT model trained deep machine learning technique called Reinforcement Learning Human Feedback RLHF helps simulate dialogue, answer followup questions, admit mistakes, challenge incorrect premises reject inappropriate requests. While Musk chimed praise chatbot tweeted saying, ChatGPT scary good. We far dangerously strong AI, later took microblogging site said OpenAI access Twitters database, train tool. He added, OpenAI started opensource nonprofit. Neither true. The Generative Pretrained Transformer GPT3 model gained lot buzz. It essentially language model leverages deep learning generate humanlike text. Along machinegenerated texts, produce stories, poems codes. It deemed upgrade previous GPT2 model, released 2019, large transformerbased language model 1.5 billion parameters, trained dataset 8 million web s. To simply, language models set statistical tools enable technology predict word syntax sentence. Nonprofit cappedprofit Image credit: Andy Kelly Unsplash Interestingly, 2019, OpenAI goes nonprofit organisation forprofit entity. In OpenAI released blog, said, We want increase ability raise capital serving mission, preexisting legal structure know strikes right balance. Our solution create OpenAI LP hybrid forprofit nonprofit calling cappedprofit company. With this, investors earn 100 times principal that, rest profit nonprofit works. OpenAI collaborates tech giants Over years, OpenAI pioneering developing AI algorithms benefit society and, regard, partnered institutions. In 2019, company joined hands Microsoft invested USD 1 billion, AI firm said exclusively licence technology tech company, Business Insider report. This Microsoft edge organisations like Googles DeepMind AI company. AI paints original masterpieces Image credit: OpenAI In 2021, Open AI took futuristic leap created DALLE, best AI tools stunning masterpieces. And year later, upgraded launch DallE2, provides images 4x greater resolution precision. DallE2 new AI create realistic images art description natural language. With swift strokes, humanlike robot hand paint artworks merge concepts, attributes style. If enough, DallE2 build existing art piece create new expanded original canvases. It add unimaginably realistic edits existing image, generating different variations previous image. Is humanlike robot hand future? Such intensive AI innovations longterm research machines acquired close humanlike attributes. However, experts seen biggest existential threat humanity, Elon Musk, too, shared thought. While humans ones created it, Stephen Hawking told BBC AI potentially redesign everincreasing rate, superseding humans outpacing biological evolution. There denying artificial intelligence taking giant leaps impact felt aspect. From churning daily news stories creating worldclass classical art making fullfledged conversation, artificial intelligence dynamics incredible potential, store future left seen. Hero image credit: Possessed Photography Unsplash; Feature image credit: Andrea De Santis Unsplash artificial intelligence Chatbots Elon Musk written by. Trinetra Paul Trinetra ardent foodie bibliophile writes films, travel, food lifestyle. As writer literature student, slam poetry storytelling jam. When working, Trinetra busy looking place visit bingewatching Instagram videos travel inspiration. Lisas net worth Jazz Music Actors You May Also Like. 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https://www.automotiveworld.com/news-releases/ravin-ai-granted-patent-for-vehicle-damage-finder-system/ | 2022-06-22T00:00:00 | en | Ravin AI granted patent for vehicle “Damage-Finder” system | Automotive World | Ravin AI granted patent for vehicle “Damage-Finder” system | Automotive World Latest: ROHM’s new PMICs for camera modules in next-gen vehicles: Compliant… IIHS: Pandemic lockdowns made rush-hour speeding, risky driving the new… ŠKODA AUTO to present innovative sustainability concepts at Berlin’s GREENTECH… Toyota to collaborate with Redwood Materials on a sustainable, closed-loop… Valeo, Atul and Honda join hands to accelerate three wheelers… Voith: VEDS HD+: Electrical drive system for heavy-duty commercial vehicles Elli and MITNETZ STROM publish concept for smart grid integration… Lions of character for drivers: Individual Lion S models from… Mercedes-AMG GLE "Edition 55" - four special models to mark… BlackBerry IVY wins Frost & Sullivan Technology Leadership Award Search for: Search Login Subscribe Username Password Remember Me Don't have an account? Subscribe Forgot PasswordMagazineArticlesAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck & BusSpecial ReportsAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck & BusResearchDataMarket ForecastsOEM Strategy UpdatesWebinarsEventsFuture Mobility DetroitFuture Mobility EuropeNewsAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck & BusContact Us“Our goal is to help stakeholders understand the future of mobility.” Products MagazineArticlesSpecial ReportsResearchWebinarsEventsNews Hot Topics Autonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck & Bus Company Contact UsEditorial CalendarEmail Alerts Notice: JavaScript is required for this content. Home › News Releases › Ravin AI granted patent for vehicle “Damage-Finder” systemRavin AI granted patent for vehicle “Damage-Finder” systemRavin’s patented technology leverages stationary cameras using deep learning AI algorithms to enhance vehicle report accuracy and improve transparency between car users, service providers, and businesses By Automotive World June 21, 2022 Facebook Twitter LinkedIn Share via Email Print Ravin AI, leader in developing AI-enabled vehicle inspection tools, today announced a European patent for its Vehicle Damage-Finder Stationary Modeling System. The technology leverages stationary cameras to capture a car’s image and provide a comprehensive vehicle damage report by cross referencing a vehicle with its computed model. This enables the inspection of individual parts of a moving vehicle and increases report accuracy without limiting image taking angles, ultimately leading to improved fleet management, transparent car rental and repair shop experiences, faster and more reliable insurance claims, and fairer used car prices. The patent includes Great Britain, Germany, Italy, France, Spain, and is the first-of-its-kind in the field of AI-powered visual inspection.Rather than relying on an OEM database or blueprint of a vehicle, Ravin’s damage finder uses an algorithmic modeling system, which is able to compute a vehicle model, recognize what and where certain parts are, and identify anything that is “foreign” to a car (dirt, stickers, damage, etc.) by cross-referencing the car model with the actual vehicle. Comparing the vehicle to its own model eliminates the need to train the AI to identify millions of images. This allows for detailed inspection of a vehicle’s parts, improving both sensitivity and accuracy.The newly patented technology has already been successfully deployed in numerous locations, including London Heathrow Airport, in partnership with Avis.“This patent is a significant vote of confidence in our technology as a game changer in vehicle damage assessment,” said Eliron Ekstein, CEO and Co-founder of Ravin AI. “Not only do our algorithms save time by improving analysis efficiency, they also do not interfere with fleet management operations. Our unique technology is already creating a more coherent and trustworthy system of vehicle appraisal for consumers and businesses across the continent, helping fleet managers, insurance firms and car rental agencies streamline their operations and improve customer experience.”SOURCE: RavinAdvertisement Join our LinkedIn GroupLet us help you understand the future of mobility Notice: JavaScript is required for this content. Related ContentNews Releases June 21, 2022ROHM’s new PMICs for camera modules in next-gen vehicles: Compliant with the ISO 26262 functional safety standardNews Releases June 21, 2022BlackBerry IVY wins Frost & Sullivan Technology Leadership AwardNews Releases June 21, 2022Green Hills Software announces industry’s most comprehensive software solutions for the NXP S32Z and S32E automotive processor familiesContact Automotive World Ltd 1-3 The Washington Building Stanwell Road Penarth CF64 2AD United Kingdom Wales Digital ConferencesFuture Mobility EuropeJuly 13, 2021We're taking our two-day Future Mobility Europe conference online for 2021. Free tickets are available to automakers and Automotive World members. 500+ delegates. 50+ speakers. Find out moreFuture Mobility DetroitSeptember 8, 2021We’re taking our two-day Future Mobility Detroit conference online for 2021. Free tickets are available to automakers and Automotive World members. 500+ delegates. 50+ speakers. Find out more © Automotive World Ltd 2022, All Rights ReservedEditorial CalendarMembership T&CsWebsite T&CsPrivacy PolicyCopyright Information Welcome back , to continue browsing the site, please click here Login We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.Ok | Ravin AI granted patent for vehicle “Damage-Finder” system | Ravin AI granted patent vehicle DamageFinder Automotive World Latest: ROHMs new PMICs camera modules nextgen vehicles: Compliant IIHS: Pandemic lockdowns rushhour speeding, risky driving new KODA AUTO present innovative sustainability concepts Berlins GREENTECH Toyota collaborate Redwood Materials sustainable, closedloop Valeo, Atul Honda join hands accelerate wheelers Voith: VEDS HD: Electrical drive heavyduty commercial vehicles Elli MITNETZ STROM publish concept smart grid integration Lions character drivers: Individual Lion S models MercedesAMG GLE Edition 55 special models mark BlackBerry IVY wins Frost Sullivan Technology Leadership Award for: Username Password Remember Me Dont account? MagazineArticlesAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck BusSpecial ReportsAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck BusResearchDataMarket ForecastsOEM Strategy UpdatesWebinarsEventsFuture Mobility DetroitFuture Mobility EuropeNewsAutonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck Bus UsOur goal help stakeholders understand future mobility. Products MagazineArticlesSpecial ReportsResearchWebinarsEventsNews Hot Topics Autonomous MobilityConnected MobilityElectric MobilityShared MobilityTruck Bus Company UsEditorial CalendarEmail Alerts Notice: JavaScript required content. Home News Releases Ravin AI granted patent vehicle DamageFinder systemRavin AI granted patent vehicle DamageFinder systemRavins patented technology leverages stationary cameras deep learning AI algorithms enhance vehicle report accuracy improve transparency car users, service providers, businesses By Automotive World June 21, 2022 Facebook Twitter LinkedIn Share Email Print Ravin AI, leader developing AIenabled vehicle inspection tools, today announced European patent Vehicle DamageFinder Stationary Modeling System. The technology leverages stationary cameras capture cars image provide comprehensive vehicle damage report cross referencing vehicle computed model. This enables inspection individual parts moving vehicle increases report accuracy limiting image taking angles, ultimately leading improved fleet management, transparent car rental repair shop experiences, faster reliable insurance claims, fairer car prices. The patent includes Great Britain, Germany, Italy, France, Spain, firstofitskind field AIpowered visual inspection.Rather relying OEM database blueprint vehicle, Ravins damage finder uses algorithmic modeling system, able compute vehicle model, recognize certain parts are, identify foreign car dirt, stickers, damage, etc. crossreferencing car model actual vehicle. Comparing vehicle model eliminates need train AI identify millions images. This allows detailed inspection vehicles parts, improving sensitivity accuracy.The newly patented technology successfully deployed numerous locations, including London Heathrow Airport, partnership Avis.This patent significant vote confidence technology game changer vehicle damage assessment, said Eliron Ekstein, CEO Cofounder Ravin AI. Not algorithms save time improving analysis efficiency, interfere fleet management operations. Our unique technology creating coherent trustworthy vehicle appraisal consumers businesses continent, helping fleet managers, insurance firms car rental agencies streamline operations improve customer experience.SOURCE: RavinAdvertisement Join LinkedIn GroupLet help understand future mobility Notice: JavaScript required content. Related ContentNews Releases June 21, 2022ROHMs new PMICs camera modules nextgen vehicles: Compliant ISO 26262 functional safety standardNews Releases June 21, 2022BlackBerry IVY wins Frost Sullivan Technology Leadership AwardNews Releases June 21, 2022Green Hills Software announces industrys comprehensive software solutions NXP S32Z S32E automotive processor families Automotive World Ltd 13 The Washington Building Stanwell Road Penarth CF64 2AD United Kingdom Wales Digital ConferencesFuture Mobility EuropeJuly 13, 2021Were taking twoday Future Mobility Europe conference online 2021. Free tickets available automakers Automotive World members. 500 delegates. 50 speakers. Find moreFuture Mobility DetroitSeptember 8, 2021Were taking twoday Future Mobility Detroit conference online 2021. Free tickets available automakers Automotive World members. 500 delegates. 50 speakers. Find Automotive World Ltd 2022, Editorial CalendarMembership TCsWebsite TCs Information Welcome , continue browsing site, click We use cookies ensure best experience website. If continue use site assume happy it.Ok | 2,022 | [
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https://www.avnetwork.com/eduwire/dlnchat-how-could-artificial-intelligence-shape-the-future-of-higher-education-edsurge | 2020-10-30T00:00:00 | en | #DLNchat: How Could Artificial Intelligence Shape the Future of Higher Education? (EdSurge) | AVNetwork |
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#DLNchat: How Could Artificial Intelligence Shape the Future of Higher Education? (EdSurge)
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"Do anthropomorphized forms of artificial intelligence serve students better than hidden bots? Will students receive AI-manifested messages through wearable devices in the future? How do we create frameworks for the ethical creation of artificial intelligence?"—Source: EdSurgeRead MoreWHY THIS MATTERS:While a lot of questions continue to loom about the role of artificial education in higher ed, it seems like a solid bet that usage of AI on campus will continue to increase. How is your institution harnessing the power of AI at the moment? Where could you see it making an impact in the future? —Eduwire Editors
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https://www.avnetwork.com/news/prepare-your-it-department-for-an-ai-skills-gap-edtech-magazine | 2020-10-30T00:00:00 | en | Prepare Your IT Department for an AI Skills Gap (EdTech Magazine) | AVNetwork |
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"In higher education, we’re already past the point at which artificial intelligence has gone from a theoretical development to a technology alive and well on campuses. As I’ve written before, institutions have put AI to work in lots of ways that save time and money. At George Washington University, chatbots provide 24/7 support to the IT help desk. Other colleges use AI systems to support faculty by answering routine student questions."—Source: EdTech MagazineRead MoreWHY THIS MATTERS:The expansion of AI is imminent in higher education. The time is now for IT departments to get ready to support these new applications.
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| Prepare Your IT Department for an AI Skills Gap (EdTech Magazine) | Prepare Your IT Department AI Skills Gap EdTech Magazine AVNetwork Skip main content SCN AVTechnology Digital Signage Magazine EDUWIRE AVNetwork Business Newsletters More Topics Education Displays Projection Screens AV Network supported audience. When purchase links site, earn affiliate commission. Learn Home News Prepare Your IT Department AI Skills Gap EdTech Magazine By EdTech Magazine Eduwire 16 January 2020 Shares In higher education, past point artificial intelligence gone theoretical development technology alive campuses. As Ive written before, institutions AI work lots ways save time money. At George Washington University, chatbots provide 247 support IT help desk. Other colleges use AI systems support faculty answering routine student questions.Source: EdTech MagazineRead MoreWHY THIS MATTERS:The expansion AI imminent higher education. The time IT departments ready support new applications. Topics Education Eduwire eduwire Newsletter Sign latest eduwire, plus exclusive special offers, direct inbox Receive news offers brands? Yes No Receive mail behalf trusted partners sponsors? Yes No Thank signing Eduwire. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. More EDUWIRE 1Three key trends campus CIOs understand eCampus News 2Online, Active Engaged: Make Remote Learning Count EdTech Magazine 3How college fosters robust remote learning eCampus News 4Pandemic amplified students growing reliance technology, says Educause EdScoop 5Research Libraries, Emerging Technologiesand Pandemic EDUCAUSE Review AVNetwork Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Accessibility Statement Advertise About Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://www.b985.com/news/trending/dungeons-dragons-franchise-tells-artists-no-ai-images/O7XINHPU3NDTTMKOLDLY4Y4BTQ/ | 2023-08-07T00:00:00 | en | ‘Dungeons & Dragons’ franchise tells artists no AI images – B98.5 FM | ‘Dungeons & Dragons’ franchise tells artists no AI images – B98.5 FM
SectionsLast Songs PlayedOn AirTad Drex & Kara Morning ShowCharlyChris CentoreKara LeighRetro Pop ReunionContestsContest RulesPrize & Contest FAQsMoreWSB-FM Public File(Opens in new window)Contact UsAdvertise With UsWork With Us(Opens in new window)WeatherTrafficLAST SONGS PLAYEDSubscribe to B98.5 FM newsletter(Opens a new window)B98.5 FM facebook feed(Opens a new window)B98.5 FM twitter feed(Opens a new window)B98.5 FM instagram feed(Opens a new window)Last Songs Played • On Air • Contests • More‘Dungeons & Dragons’ franchise tells artists no AI imagesExpandAI FILE PHOTO: An artist who has created images for "Dungeons & Dragons" books said he used AI to adjust his creations. The publisher of "D&D" said that no AI will be used going forward. (Guillaume/Getty Images/iStockphoto)By Natalie Dreier, Cox Media Group National Content DeskAugust 07, 2023 at 2:08 pm EDTA “Dungeons & Dragons” quest harkens back to a fantasy time filled with elves, orcs and of course dragons, not computers and omniscient computing brains, but that’s what helped developed some of the imagery for an upcoming licensed book.>> Read more trending newsHasbro, the parent company that produces “Dungeons & Dragons,” recently found out that an illustrator that had worked with for almost 10 years used artificial intelligence to make illustrations for an upcoming publication.The book is “Bigby Presents: Glory of the Giants.” The hardcover and digital versions of the monster guide cost $59.95 and were scheduled to be released on Aug. 15.Ilya Shkipin, the artist at the center of the controversy, said he had used AI to create “certain details or polish and editing,” Gizmodo reported. Shkipin made the statement on Twitter, now X, and has since deleted the post. He said he had enhanced his painted elements.Hasbro subsidiary Wizards of the Coast and D&D Beyond said that they had spoken with the artist and has clarified the rules going forward.“He will not use AI for Wizards’ work moving forward,” a post on D&D Beyond’s social media account said, according to the AP. “We are revising our process and updating our artist guidelines to make clear that artists must refrain from using AI art generation as part of their art creation process for developing D&D.”On AI-generated art and Bigby Presents: Glory of the Giants: pic.twitter.com/q6oXRRITk9— D&D Beyond (@DnDBeyond) August 5, 2023
Wizards of the Coast said that none of the text in the book was AI-generated, Gizmodo reported.AI can produce art, but has, what the AP called, “telltale glitches” including distorted limbs which is what was noticed by fans, alerting Hasbro and Wizards of the Coast, the AP reported.AI has come under fire in the entertainment world recently with artists suing AI companies for using their works to help train their platforms while Hollywood writers and actors are striking over the use of AI and how they would be compensated.A chapter of Osamu Tezuka’s “Black Jack” book to mark its 50th anniversary was AI-generated using ChatGPT-4, Comic Book Resources and ScreenRant said.Mattel said it used AI-generated images to help develop new Hot Wheels cars, but the company hasn’t said how much it was used, the AP reported.Latest trending news:Judge dismisses Trump’s countersuit against E. Jean CarrollCar goes airborne, crashes into second floor of houseWilliam Friedkin, director of ‘The Exorcist,’ ‘The French Connection,’ dies at 87Scouts to evacuate World Scout Jamboree in South KoreaElon Musk offers to pay legal fees for people ‘unfairly treated’ because of XOn AirView All1-404-741-098592°11We're sending Abby Jessen OVER. THE. EDGE! She’ll rappel 22 stories down the side of the the Intercontinental Hotel in Atlanta for one of her favorite organizations, Make-A-Wish Georgia!Join us and feel the presence of our ONE community every step of the way.Susan G. Komen® is hosting the 2023 Georgia MORE THAN PINK Walk at Lenox Square on Saturday, October 21, 2023. Take Us With You on the Go!Download the B98.5 App today!
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Audio Temporarily UnavailableYou may be offline. Please check your connection and try again using the Retry button.CancelRetryListen LiveLearn MoreShare currently playing on Facebook (Opens a new window)Share currently playing on Twitter (Opens a new window) | ‘Dungeons & Dragons’ franchise tells artists no AI images | Dungeons Dragons franchise tells artists AI images B98.5 FM SectionsLast Songs PlayedOn AirTad Drex Kara Morning ShowCharlyChris CentoreKara LeighRetro Pop ReunionContestsContest RulesPrize Contest FAQsMoreWSBFM Public FileOpens new window UsAdvertise With UsWork With UsOpens new windowWeatherTrafficLAST SONGS PLAYED B98.5 FM newsletterOpens new windowB98.5 FM facebook feedOpens new windowB98.5 FM twitter feedOpens new windowB98.5 FM instagram feedOpens new windowLast Songs Played On Air Contests MoreDungeons Dragons franchise tells artists AI imagesExpandAI FILE PHOTO: An artist created images Dungeons Dragons books said AI adjust creations. The publisher DD said AI going forward. GuillaumeGetty ImagesiStockphotoBy Natalie Dreier, Cox Media Group National Content DeskAugust 07, 2023 2:08 pm EDTA Dungeons Dragons quest harkens fantasy time filled elves, orcs course dragons, computers omniscient computing brains, thats helped developed imagery upcoming licensed book.>> Read trending newsHasbro, parent company produces Dungeons Dragons, recently illustrator worked 10 years artificial intelligence illustrations upcoming publication.The book Bigby Presents: Glory Giants. The hardcover digital versions monster guide cost 59.95 scheduled released Aug. 15.Ilya Shkipin, artist center controversy, said AI create certain details polish editing, Gizmodo reported. Shkipin statement Twitter, X, deleted post. He said enhanced painted elements.Hasbro subsidiary Wizards Coast DD Beyond said spoken artist clarified rules going forward.He use AI Wizards work moving forward, post DD Beyonds social media account said, according AP. We revising process updating artist guidelines clear artists refrain AI art generation art creation process developing DD.On AIgenerated art Bigby Presents: Glory Giants: pic.q6oXRRITk9 DD Beyond August 5, 2023 Wizards Coast said text book AIgenerated, Gizmodo reported.AI produce art, has, AP called, telltale glitches including distorted limbs noticed fans, alerting Hasbro Wizards Coast, AP reported.AI come entertainment world recently artists suing AI companies works help train platforms Hollywood writers actors striking use AI compensated.A chapter Osamu Tezukas Black Jack book mark 50th anniversary AIgenerated ChatGPT4, Comic Book Resources ScreenRant said.Mattel said AIgenerated images help develop new Hot Wheels cars, company said used, AP reported.Latest trending news:Judge dismisses Trumps countersuit E. Jean CarrollCar goes airborne, crashes second floor houseWilliam Friedkin, director The Exorcist, The French Connection, dies 87Scouts evacuate World Scout Jamboree South KoreaElon Musk offers pay legal fees people unfairly treated XOn AirView All140474109859211Were sending Abby Jessen OVER. THE. EDGE Shell rappel 22 stories Intercontinental Hotel Atlanta favorite organizations, MakeAWish GeorgiaJoin feel presence ONE community step way.Susan G. Komen hosting 2023 Georgia MORE THAN PINK Walk Lenox Square Saturday, October 21, 2023. Take Us With You GoDownload B98.5 App today newsletter Sign added mailing list latest news updates, access exclusive contests, Sign Up mobile apps Everything love Tap buttons download app. amazon alexa Enable Skill today listen live home Alexa Devices More UsWork With UsOpens new windowContest RulesEEO StatementWSBFM Public FileOpens new windowFCC ApplicationsAdvertisingAdvertise With UsHelpWebsite Help Cox Media Group. . By website, accept terms Visitor Agreement , understand options Ad Choices. Learn careers Cox Media Group. Portions Content Provided Rovi Corporation. Rovi Corporation Audio Temporarily UnavailableYou offline. Please check connection try Retry button.CancelRetryListen LiveLearn MoreShare currently playing Facebook Opens new windowShare currently playing Twitter Opens new window | 2,023 | [
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https://www.bangkokpost.com/world/2565135/hollywood-strikes-inflamed-by-claim-ai-could-do-writers-jobs | 2023-05-07T00:00:00 | en | Hollywood strikes inflamed by claim AI could do writers' jobs |
Hollywood strikes inflamed by claim AI could do writers' jobs
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Hollywood strikes inflamed by claim AI could do writers' jobs
0
World
Hollywood strikes inflamed by claim AI could do writers' jobs
published :
7 May 2023 at 08:45
writer:
AFP
0
0
'Diary of a Future President' creator and writer Ilana Pena joined protests against the encroachment of artificial intelligence in Hollywood.
LOS ANGELES - The Hollywood writers' strike broke out this week over pay, but the refusal of studios like Netflix and Disney to rule out artificial intelligence replacing human scribes in the future has only fueled anger and fear on the picket lines.With their rapidly advancing ability to eerily mimic human conversation, AI programs like ChatGPT have spooked many industries recently. The White House this week summoned Big Tech to discuss the potential risks.
As part of the weeks-long talks with studios and streamers that collapsed Monday, the Writers Guild of America asked for binding agreements to regulate the use of AI.
Under the proposals, nothing written by AI can be considered "literary" or "source" material -- industry terms that decide who gets royalties -- and scripts written by WGA members cannot "be used to train AI."
But according to the WGA, studios "rejected our proposal," and countered with an offer merely to meet once a year to "discuss advancements in technology."
"It's nice for them to offer to have a meeting about how they're exploiting it against us!" joked WGA negotiating committee member Eric Heisserer, who wrote Netflix hit film "Bird Box."
"Art cannot be created by a machine. You lose the heart and soul of the story... I mean, the first word is 'artificial,'" he told AFP on the picket line outside the streaming giant's Hollywood HQ Friday.
While writers already know this, the danger is that "we have to watch tech companies destroy the business in an attempt to find out for themselves," he said.
- 'Not just scripts' -
While few television and film writers who spoke to AFP on the picket lines believe their work could be done by computers, the apparent conviction of studios and streamers that it can has been an extra slap in the face.
They fear that belt-tightening executives in Hollywood, where Silicon Valley companies have upended many traditional practices such as long-term contracts for writers, may seek to cut costs further by getting computers to write their next hit shows.
Comments by top Hollywood executives at this week's Milken Institute Global Conference in Beverly Hills will have done nothing to quell writers' concerns.
"In the next three years, you're going to see a movie that was written by AI made... a good one," said movie producer Todd Lieberman.
"Not just scripts. Editing, all of it... storyboarding a movie, anything," added Fox entertainment CEO Rob Wade.
"AI in the future, maybe not next year or the year after, but if we're talking 10 years? AI is going to be able to do absolutely all of these things."
The studios' own account of the breakdown in WGA talks offered a more nuanced take.
In a briefing note shared with AFP, they said writers do not in fact want to outlaw AI, and appear happy to use it "as part of their creative process" -- so long as it does not affect their pay.
That scenario "requires a lot more discussion, which we've committed to doing," the studios said.
- 'Guardrails' -
For Leila Cohan, a 39-year-old writer on Netflix smash hit "Bridgerton," the only usefulness of AI for writers is limited to "busy work" such as coming up with names for characters.
But she predicted that studios "could start making incredibly bad first drafts with AI and then hiring writers to do a rewrite."
"I think that's certainly a very scary possibility... it's very smart that we're addressing this now," she said.
Indeed, the last Hollywood strike in 2007-08 won writers the right to be paid for online viewing of their shows or films -- highly prescient, at a time when streaming was in its infancy.
Back then, Netflix had barely started online viewing, and the likes of Disney+ and Apple TV+ were more than a decade away.
Even for sci-fi writer Ben Ripley, who believes there is no role whatsoever for AI in writing, introducing legislation now "to put guardrails up" is "very necessary."
Writers "have to be original," he said. "Artificial intelligence is the antithesis of originality."
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| Hollywood strikes inflamed by claim AI could do writers' jobs | Hollywood strikes inflamed claim AI writers jobs SUBSCRIBE THAILAND WORLD BUSINESS OPINION AUTO LIFE LEARNING TRAVEL MORE Other Services JOBS HOME DELIVERY Digital products EPAPER SMS DIGITAL ARCHIVE Other DATA HUB SPECIAL FEATURES VIDEO SPORTS TECH PROPERTY PHOTOS Section Thailand General Politics Special Report PR News World Business Opinion Columnists Postbag Sports Auto News Review Sports Auto News Review Life Arts Entertainment Social Lifestyle Learning Video Thailand World Travel Lifestyle Business Travel Tech Property Photos Other Services JOBS HOME DELIVERY CONTACT US ONLINE ADVERTISING TELL US WHAT YOU THINK Other DATA HUB SPECIAL FEATURES SUBSCRIBE Digital Products TODAYS PAPER EPAPER SMS DIGITAL ARCHIVE Hollywood strikes inflamed claim AI writers jobs 0 World Hollywood strikes inflamed claim AI writers jobs published : 7 May 2023 08:45 writer: AFP 0 0 Diary Future President creator writer Ilana Pena joined protests encroachment artificial intelligence Hollywood. LOS ANGELES The Hollywood writers strike broke week pay, refusal studios like Netflix Disney rule artificial intelligence replacing human scribes future fueled anger fear picket lines.With rapidly advancing ability eerily mimic human conversation, AI programs like ChatGPT spooked industries recently. The White House week summoned Big Tech discuss potential risks. As weekslong talks studios streamers collapsed Monday, Writers Guild America asked binding agreements regulate use AI. Under proposals, written AI considered literary source material industry terms decide gets royalties scripts written WGA members train AI. But according WGA, studios rejected proposal, countered offer merely meet year discuss advancements technology. Its nice offer meeting theyre exploiting joked WGA negotiating committee member Eric Heisserer, wrote Netflix hit film Bird Box. Art created machine. You lose heart soul story... I mean, word artificial, told AFP picket line outside streaming giants Hollywood HQ Friday. While writers know this, danger watch tech companies destroy business attempt themselves, said. Not scripts While television film writers spoke AFP picket lines believe work computers, apparent conviction studios streamers extra slap face. They fear belttightening executives Hollywood, Silicon Valley companies upended traditional practices longterm contracts writers, seek cut costs getting computers write hit shows. Comments Hollywood executives weeks Milken Institute Global Conference Beverly Hills quell writers concerns. In years, youre going movie written AI made... good one, said movie producer Todd Lieberman. Not scripts. Editing, it... storyboarding movie, anything, added Fox entertainment CEO Rob Wade. AI future, maybe year year after, talking 10 years? AI going able absolutely things. The studios account breakdown WGA talks offered nuanced take. In briefing note shared AFP, said writers fact want outlaw AI, appear happy use creative process long affect pay. That scenario requires lot discussion, weve committed doing, studios said. Guardrails For Leila Cohan, 39yearold writer Netflix smash hit Bridgerton, usefulness AI writers limited busy work coming names characters. But predicted studios start making incredibly bad drafts AI hiring writers rewrite. I think thats certainly scary possibility... smart addressing now, said. Indeed, Hollywood strike 200708 writers right paid online viewing shows films highly prescient, time streaming infancy. Back then, Netflix barely started online viewing, likes Disney Apple TV decade away. Even scifi writer Ben Ripley, believes role whatsoever AI writing, introducing legislation guardrails necessary. Writers original, said. Artificial intelligence antithesis originality. 0 0 TRENDING Do like content article? 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The findings published international academic journal Nordic Journal Botany Wednesday. 08:02 THAILAND General Politics Special Report PR News WORLD BUSINESS OPINION Columnists Postbag SPORTS AUTO News Review LIFE Arts Entertainment Social Lifestyle Guru LEARNING LIFE Arts Entertainment Social Lifestyle Guru B Magazine LEARNING VIDEO Thailand World Travel Lifestyle TRAVEL TECH PROPERTY PHOTOS DIGITAL PRODUCTS SERVICES EPaper SMS Digital Archive Jobs Home Delivery OTHER Data Hub Special Features STAY INFORMED.GET DAILY UPDATES FROM THE BANGKOK POST. Please validemail. Thank subscribing enewsletter. You updates 24 hours. SUBSCRIBE By subscribing, accept terms conditions privacy policy. 2023 Bangkok Post Public Company Limited Terms use Republishing permission Privacy policy policy Online advertising Tell think Partnership | 2,023 | [
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https://www.barchart.com/story/news/18574208/stock-market-today-asian-shares-are-mixed-after-wall-st-logs-15-month-high-close-on-ai-hopes | 2023-07-19T00:00:00 | en | Stock market today: Asian shares are mixed after Wall St logs 15-month high close on AI hopes | Stock market today: Asian shares are mixed after Wall St logs 15-month high close on AI hopes
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Market Sectors Major Markets Heat Map Industry Rankings Industry Heat Map Industry Performance Related Symbols Symbol Last Chg %Chg DAL 48.37 +1.57 +3.35% Delta Air Lines Inc WFC 45.60 +0.86 +1.92% Wells Fargo & Company PNC 130.35 +3.19 +2.51% PNC Bank JPM 153.66 +0.28 +0.18% JP Morgan Chase & Company BAC 30.70 +1.30 +4.42% Bank of America Corp MS 91.94 +5.57 +6.45% Morgan Stanley MSFT 359.49 +13.76 +3.98% Microsoft Corp $SPX 4,554.98 +32.19 +0.71% S&P 500 Index $DOWI 34,951.93 +366.58 +1.06% Dow Jones Industrials Average $IUXX 15,841.35 +128.07 +0.82% Nasdaq 100 Index Most Popular News 1 3 Passive Income Streams For Retirees Who Just Want To Relax 2 What are the Markets Telling Us about Russia Exiting the Ukraine Grain Deal? 3 Stocks Set to Open Mixed as Investors Brace for Earnings Season, Chinese GDP Data Disappoints 4 Barchart Raises Corn Yield Estimates, Cuts Soybean Yield Estimates 5 Invest Like Warren Buffett: Why This Dividend Aristocrat Deserves a Place in Your Portfolio Log 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https://www.bbc.co.uk/news/world-us-canada-65465386?at_medium=RSS&at_campaign=KARANGA | 2023-05-03T00:00:00 | en | With writers on strike, can an AI chatbot be as funny as Stephen Colbert? - BBC News | With writers on strike, can an AI chatbot be as funny as Stephen Colbert? - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineCoronationClimateVideoWorldUS & CanadaUKBusinessTechMoreScienceStoriesEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsUS & CanadaWith writers on strike, can an AI chatbot be as funny as Stephen Colbert?Published1 hour agoShareclose panelShare pageCopy linkAbout sharingImage source, Getty Images/BBCBy Chelsea BaileyBBC NewsHollywood writers are on strike - and late-night TV is on hiatus. Could AI be a substitute? For the first time in 15 years, TV and film writers are putting down their proverbial pen in protest, after union negotiations between the Writers Guild of America (WGA) and major studios broke down over concerns about not just wages, but also the use of artificial intelligence to write scripts. The WGA likened the use of AI in screenwriting to plagiarism and said it was fighting to regulate the technology because it "undermines writers' working standards including compensation." Among the first casualties of the strike is late-night TV, which relies on a bevy of writers to quickly turn the day's events into comedy gold. So far, Jimmy Kimmel Live!, The Late Show with Stephen Colbert, and The Tonight Show with Jimmy Fallon have all announced a hiatus as writers take to the picket line. So we put ChatGPT to the test to see if it could match the brilliance - and comedic minds - of America's favourite late-night hosts and the teams of writers behind them. Within seconds, the bot had drafted a series of jokes. But were they funny?Can it write a late-night monologue?First test - we asked ChatGPT to write an opening monologue for Tonight Show host Jimmy Fallon with jokes about the writers' strike and artificial intelligence. Here's some of what it wrote: AI Fallon:"Hey, hey, hey! Welcome to The Tonight Show, everyone. As you may have heard, the Writers Guild of America is on strike, and as a fellow union member, I stand with them in their fight for fair compensation and better working conditions. "And let me tell you, folks, it's not easy coming up with jokes on the fly without our talented writers. I mean, I'm no robot, but I might have to start using AI-generated punchlines if this strike goes on much longer!...""Now, some people might say that we don't need human writers anymore, that machines can do everything better than us. But I don't buy it, folks. I mean, sure, AI can generate jokes based on data and algorithms, but can they come up with a truly original, off-the-cuff joke like this one?" Okay, here goes: Why did the chicken cross the playground? To get to the other slide! See, that's the kind of classic, timeless humour that only a human brain can come up with. Well, that and maybe a five-year-old's brain, but you get the idea." As a Late Night with Jimmy Fallon viewer, I felt the AI did a good job capturing Fallon's sincerity about the writers' strike. At the Met Gala, the comedian told Variety he "wouldn't have a show if it wasn't for my writers" and I think you can sense his support for the strike in the AI's monologue. The "chicken crossing the playground" bit wasn't exactly side-splitting, but it's not far off the mark. Fallon's corny dad-jokes are one of the many reasons viewers love him. Who's funnier: Stephen Colbert or AI Colbert?On Monday night, Late Show host Stephen Colbert's opening monologue include a segment about President Joe Biden announcement that he would run for re-election despite concerns over his age. Could a chatbot do a better job with the same reference? Here's Stephen Colbert v. AI Colbert on Biden's re-election announcement. The real Stephen Colbert:"Of course, we know President Biden's real opponent is the ravages of time. If he wins a second term, he will be 86 when he leaves office and voters feel, to put it delicately, that is way too [expletive] old… But what matters is that Biden is young at heart… it's all his other organs we have to worry about."AI Colbert:"Big news today, folks! President Biden has announced that he will be running for re-election. That's right, the man who once said he didn't want to run for president because of his age is now saying, 'Age is just a number, and so is 78!'"Now, I know some of you might be concerned about President Biden's age. In a recent poll, 50% of Americans said they were worried about his age, and the other 50% were Joe Biden. But let's be real, folks, Biden's age is not a big deal. He's got the energy of a 30-year-old, and the memory of a... well, I forget what I was going to say."The Biden joke isn't half bad, but there's an important caveat. Biden is actually 80 now, so the joke about him being 78 highlights the algorithm's biggest weakness: The ChatGPT can only reference events that have happened up until 2021. That means it wouldn't be much help to daily late night shows that comment on current events. I also asked the bot to give me the polling data for the joke about 50% of Americans saying they're worried about Biden's age. It told me "I don't have access to current polling data." For some experts, the lack of accuracy is a huge problem and highlights concerns around AI and the spread of misinformation. Can it joke about the news?OK, back to the heart of the matter, can an AI crack a joke? We asked ChatGPT to write a Fallon-style joke about last night's Met Gala and actor Jared Leto's costume. Here's what it came up with: AI Fallon:"Did you guys see the Met Gala last night? It was wild. Jared Leto showed up wearing a full-body chandelier costume. I mean, I've heard of people trying to make a statement with their fashion, but Jared just straight-up said, 'I want to be the fanciest lamp in the room!'"This joke might have been funny if you hadn't seen any photos from the Met Gala. Jared Leto has worn some daring costumes in the past (including one year when he carried his own head), but he's never dressed as a chandelier. That sartorial honour goes to Katy Perry, who illuminated the Met staircase in 2019. So what's the verdict?Rumours of Hollywood's demise at the hands of artificial intelligence appear, at least for the moment, a little exaggerated. ChatGPT is still in a "research phase," according to its creators, and while the AI is indeed powerful, smart and adaptive, there's still a lot of work to be done when it comes to accuracy and comedic timing. The shows going dark due to the US writers' strikeTV writers explain why they're walking out Overall, I was impressed by ChatGPT's ability to mimic the monologue style and tone of America's biggest late-night hosts, but even it knows its jokes are missing a human touch - just ask AI Stephen Colbert:"Let's be real, nobody wants to watch a robot do a monologue. Unless it's a robot with impeccable comedic timing and a charming personality. But, you know, good luck finding one of those. "Anyway, let's hope the WGA and the studios can come to an agreement soon. And if they don't, well, maybe we'll all be out of a job and replaced by robots. Hey, it wouldn't be the first time I was replaced by a machine. Just ask my Roomba."Related TopicsComedyTelevisionArtificial intelligenceUnited StatesHollywoodMore on this storyTV writers explain why they're walking out9 hours agoThe shows going dark due to the US writers' strike5 hours agoLate night shows to go dark due to writers' strike13 hours agoTop Stories1,500 US troops to be deployed to US-Mexico borderPublished5 hours agoMan arrested outside Buckingham PalacePublished2 hours agoSeven bodies found in US search for missing teensPublished2 hours agoFeaturesFearful refugees wonder if they will return to SudanThe 'dancing on the grave' murder that shook IndiaFeel-good TikTok song goes viral. VideoFeel-good TikTok song goes viralSyria on way back to Arab fold as isolation crumblesWhy Eurovision is about more than music for LiverpoolCan a chatbot be as funny as Stephen Colbert?'Nothing we can do but watch babies die': Crisis in Afghan hospitalsInside Denmark's secret nuclear bunkerThe hidden power of the coronationElsewhere on the BBCThe fading glamour of hustle cultureDid a Black man discover the North Pole?A misunderstood horror masterpieceMost Read1Seven bodies found in US search for missing teens2Man arrested outside Buckingham Palace3Pornhub blocks access in Utah over age check law4Second train derailment in Russian border region5US official recounts bout of profound loneliness6'Nothing we can do but watch babies die': Desperation in Afghan hospitals71,500 US troops to be deployed to US-Mexico border8The 17 most eye-catching looks at the Met Gala9Messi suspended by PSG over Saudi Arabia trip10AI chatbots 'may soon be more intelligent than us'BBC News ServicesOn your mobileOn smart speakersGet news alertsContact BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with us© 2023 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. | With writers on strike, can an AI chatbot be as funny as Stephen Colbert? | With writers strike, AI chatbot funny Stephen Colbert? BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineCoronationClimateVideoWorldUS CanadaUKBusinessTechMoreScienceStoriesEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsUS CanadaWith writers strike, AI chatbot funny Stephen Colbert?Published1 hour agoShareclose panelShare Copy linkAbout sharingImage source, Getty ImagesBBCBy Chelsea BaileyBBC NewsHollywood writers strike latenight TV hiatus. Could AI substitute? For time 15 years, TV film writers putting proverbial pen protest, union negotiations Writers Guild America WGA major studios broke concerns wages, use artificial intelligence write scripts. The WGA likened use AI screenwriting plagiarism said fighting regulate technology undermines writers working standards including compensation. Among casualties strike latenight TV, relies bevy writers quickly turn days events comedy gold. So far, Jimmy Kimmel Live, The Late Show Stephen Colbert, The Tonight Show Jimmy Fallon announced hiatus writers picket line. So ChatGPT test match brilliance comedic minds Americas favourite latenight hosts teams writers them. Within seconds, bot drafted series jokes. But funny?Can write latenight monologue?First test asked ChatGPT write opening monologue Tonight Show host Jimmy Fallon jokes writers strike artificial intelligence. Heres wrote: AI Fallon:Hey, hey, hey Welcome The Tonight Show, everyone. As heard, Writers Guild America strike, fellow union member, I stand fight fair compensation better working conditions. And let tell you, folks, easy coming jokes fly talented writers. I mean, Im robot, I start AIgenerated punchlines strike goes longer...Now, people dont need human writers anymore, machines better us. But I dont buy it, folks. I mean, sure, AI generate jokes based data algorithms, come truly original, offthecuff joke like one? Okay, goes: Why chicken cross playground? To slide See, thats kind classic, timeless humour human brain come with. Well, maybe fiveyearolds brain, idea. As Late Night Jimmy Fallon viewer, I felt AI good job capturing Fallons sincerity writers strike. At Met Gala, comedian told Variety wouldnt wasnt writers I think sense support strike AIs monologue. The chicken crossing playground bit wasnt exactly sidesplitting, far mark. Fallons corny dadjokes reasons viewers love him. Whos funnier: Stephen Colbert AI Colbert?On Monday night, Late Show host Stephen Colberts opening monologue include segment President Joe Biden announcement run reelection despite concerns age. Could chatbot better job reference? Heres Stephen Colbert v. AI Colbert Bidens reelection announcement. The real Stephen Colbert:Of course, know President Bidens real opponent ravages time. If wins second term, 86 leaves office voters feel, delicately, way [expletive] old But matters Biden young heart organs worry about.AI Colbert:Big news today, folks President Biden announced running reelection. Thats right, man said didnt want run president age saying, Age number, 78Now, I know concerned President Bidens age. In recent poll, 50 Americans said worried age, 50 Joe Biden. But lets real, folks, Bidens age big deal. Hes got energy 30yearold, memory a... well, I forget I going say.The Biden joke isnt half bad, theres important caveat. Biden actually 80 now, joke 78 highlights algorithms biggest weakness: The ChatGPT reference events happened 2021. That means wouldnt help daily late night shows comment current events. I asked bot polling data joke 50 Americans saying theyre worried Bidens age. It told I dont access current polling data. For experts, lack accuracy huge problem highlights concerns AI spread misinformation. Can joke news?OK, heart matter, AI crack joke? We asked ChatGPT write Fallonstyle joke nights Met Gala actor Jared Letos costume. Heres came with: AI Fallon:Did guys Met Gala night? It wild. Jared Leto showed wearing fullbody chandelier costume. I mean, Ive heard people trying statement fashion, Jared straightup said, I want fanciest lamp roomThis joke funny hadnt seen photos Met Gala. Jared Leto worn daring costumes past including year carried head, hes dressed chandelier. That sartorial honour goes Katy Perry, illuminated Met staircase 2019. So whats verdict?Rumours Hollywoods demise hands artificial intelligence appear, moment, little exaggerated. ChatGPT research phase, according creators, AI powerful, smart adaptive, theres lot work comes accuracy comedic timing. The shows going dark US writers strikeTV writers explain theyre walking Overall, I impressed ChatGPTs ability mimic monologue style tone Americas biggest latenight hosts, knows jokes missing human touch ask AI Stephen Colbert:Lets real, wants watch robot monologue. Unless robot impeccable comedic timing charming personality. But, know, good luck finding those. Anyway, lets hope WGA studios come agreement soon. And dont, well, maybe job replaced robots. Hey, wouldnt time I replaced machine. Just ask Roomba.Related TopicsComedyTelevisionArtificial intelligenceUnited StatesHollywoodMore storyTV writers explain theyre walking out9 hours agoThe shows going dark US writers strike5 hours agoLate night shows dark writers strike13 hours agoTop Stories1,500 US troops deployed USMexico borderPublished5 hours agoMan arrested outside Buckingham PalacePublished2 hours agoSeven bodies US search missing teensPublished2 hours agoFeaturesFearful refugees wonder return SudanThe dancing grave murder shook IndiaFeelgood TikTok song goes viral. VideoFeelgood TikTok song goes viralSyria way Arab fold isolation crumblesWhy Eurovision music LiverpoolCan chatbot funny Stephen Colbert?Nothing watch babies die: Crisis Afghan hospitalsInside Denmarks secret nuclear bunkerThe hidden power coronationElsewhere BBCThe fading glamour hustle cultureDid Black man discover North Pole?A misunderstood horror masterpieceMost Read1Seven bodies US search missing teens2Man arrested outside Buckingham Palace3Pornhub blocks access Utah age check law4Second train derailment Russian border region5US official recounts bout profound loneliness6Nothing watch babies die: Desperation Afghan hospitals71,500 US troops deployed USMexico border8The 17 eyecatching looks Met Gala9Messi suspended PSG Saudi Arabia trip10AI chatbots soon intelligent usBBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise 2023 BBC. The BBC responsible content external sites. Read approach external linking. | 2,023 | [
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https://www.bbc.com/news/technology-65786964 | 2023-06-04T00:00:00 | en | Can sci-fi films teach us anything about an AI threat? - BBC News | Can sci-fi films teach us anything about an AI threat? - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreStoriesEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechCan sci-fi films teach us anything about an AI threat?Published1 hour agoShareclose panelShare pageCopy linkAbout sharingImage source, AlamyImage caption, Samantha Morton (left) and Tom Cruise in the 2002 sci-fi film Minority Report, in which future technology helps catch people before they commit crimesIn an apocalyptic warning this week, big-name researchers cited the plot of a major movie among a series of AI "disaster scenarios" they said could threaten humanity's existence.Two of the three so-called "godfathers of AI" are worried - though the third could not disagree more, saying such "prophecies of doom" are nonsense. When trying to make sense of it in an interview on British television with one of the researchers who warned of an existential threat, the presenter said: "As somebody who has no experience of this… I think of the Terminator, I think of Skynet, I think of films that I've seen."He is not alone. The organisers of the warning statement - the Centre for AI Safety (CAIS) - used Pixar's WALL-E as an example of the threats of AI.Science fiction has always been a vehicle to guess at what the future holds. Very rarely, it gets some things right.Using the CAIS' list of potential threats as examples, do Hollywood blockbusters have anything to tell us about AI doom?'Enfeeblement'Wall-E and Minority ReportImage source, AlamyCAIS says "enfeeblement" is when humanity "becomes completely dependent on machines, similar to the scenario portrayed in the film WALL-E".If you need a reminder, humans in that movie were happy animals who did no work and could barely stand on their own. Robots tended to everything for them.Guessing whether this is possible for our entire species is crystal-ball-gazing. But there is another, more insidious form of dependency that is not so far away. That is the handing over of power to a technology we may not fully understand, says Stephanie Hare, an AI ethics researcher and author of Technology Is Not Neutral. Think Minority Report, pictured at the top of this article. Well-respected police office John Anderton (played by Tom Cruise) is accused of a crime he hasn't committed because the systems built to predict crime are certain he will."Predictive policing is here - the London Met uses it," Ms Hare says.In the film, Tom Cruise's life is ruined by an "unquestionable" system which he doesn't fully understand.So what happens when someone has "a life-altering decision" - such as a mortgage application or prison parole - refused by AI?Today, a human could explain why you didn't meet the criteria. But many AI systems are opaque and even the researchers who built them often don't fully understand the decision-making."We just feed the data in, the computer does something…. magic happens, and then an outcome happens," Ms Hare says. The technology might be efficient, but it's arguable it should never be used in critical scenarios like policing, healthcare, or even war, she says. "If they can't explain it, it's not okay.""Weaponisation"The TerminatorImage source, AlamyThe true villain in the Terminator franchise isn't the killer robot played by Arnold Schwarzenegger, it's Skynet, an AI designed to defend and protect humanity. One day, it outgrew its programming and decided that mankind was the greatest threat of all - a common film trope. We are of course a very long way from Skynet. But some think that we will eventually build an artificial generalised intelligence (AGI) which could do anything humans can but better - and perhaps even be self-aware.For Nathan Benaich, founder of AI investment firm Air Street Capital in London, it's a little far-fetched."Sci-fi often tells us much more about its creators and our culture than it does about technology," he says - adding that our predictions about the future rarely come to pass."Earlier in the twentieth century, people imagined a world of flying cars, where people stayed in touch by ordinary telephones - whereas we now travel in much the same way, but communicate completely differently."What we have today is on the road to becoming something more like Star Trek's shipboard computer than Skynet. "Computer, show me a list of all crew members," you might say, and our AI of today could give it to you and answer questions about the list in normal language.It could not, however, replace the crew - or fire the torpedoes.US Air Force denies AI drone attacked operator Worries about weaponisation are around integrating AI into military hardware - something which is already on the cards - and whether we can trust the technology with life-and-death scenarios. Naysayers are also worried about the potential for an AI designed to make medicine being turned onto new chemical weapons, or other similar threats."Emergent goals / deception"2001: A Space OdysseyImage source, AlamyAnother popular trope in film is not that the AI is evil - but rather, it's misguided.In Stanley Kubrick's 2001: A Space Odyssey, we meet HAL-9000, a supercomputer which controls most of the functions of the ship Discovery, making the astronaut's lives easier - until it malfunctions.The astronauts decide to disconnect HAL and take things over themselves. But HAL - who knows things the astronauts don't - decides this jeopardises the mission. The astronauts are in the way. HAL tricks the astronauts - and kills most of them.Unlike a self-aware Skynet, you could argue that HAL is doing what he was told - preserving the mission, just not the way he was expected to.In modern AI language, misbehaving AI systems are "misaligned". Their goals do not seem to match up with the human goals. Sometimes, that's because the instructions were not clear enough and sometimes it's because the AI is smart enough to find a shortcut. For example, if the task for an AI is "make sure your answer and this text document match", it might decide the best path is to change the text document to an easier answer. That is not what the human intended, but it would technically be correct.So while 2001: A Space Odyssey is far from reality, it does reflect a very real problem with current AI systems."Misinformation"The MatrixImage source, Alamy"How would you know the difference between the dream world and the real world?" Morpheus asks a young Keanu Reeves in 1999's The Matrix. The story - about how most people live their lives not realising their world is a digital fake - is a good metaphor for the current explosion of AI-generated misinformation.Ms Hare says that, with her clients, The Matrix us a useful starting point for "conversations about misinformation, disinformation and deepfakes"."I can talk them through that with The Matrix, [and] by the end... what would this mean for elections? What would this mean for stock market manipulation? Oh my god, what does it mean for civil rights and like human literature or civil liberties and human rights?" Can you tell the difference between AI and reality?ChatGPT and image generators are already manufacturing vast reams of culture that looks real but might be entirely wrong or made up. There is also a far darker side - such as the creation of damaging deepfake pornography that is extremely difficult for victims to fight against. "If this happens to me, or someone I love, there's nothing we can do to protect them right now," Ms Hare says.What might actually happenSo, what about this warning from top AI experts that it's just as dangerous as nuclear war?"I thought it was really irresponsible," Ms Hare says. "If you guys truly think that, if you really think that, stop building it."It's probably not killer robots we need to worry about, she says - rather, an unintended accident. "There's going to be high security in banking. They'll be high security around weapons. So what attackers would do is release [an AI] maybe hoping that they could just make a little bit of cash, or do a power flex… and then, maybe they can't control it," she says."Just imagine all of the cybersecurity issues that we've had, but times a billion, because it's going to be faster."Nathan Benaich from Air Street Capital is reluctant to make any guesses about potential problems."I think AI will transform a lot of sectors from the ground up, [but] we need to be super careful about rushing to make decisions based on feverish and outlandish stories where large leaps are assumed without a sense of what the bridge will look like," he warns.Related TopicsArtificial intelligenceMore on this storyAI 'godfather' feels 'lost' over life's workPublished3 days agoCan you tell the difference between AI and reality?Published21 MayUS lawyer admits using ChatGPT for case researchPublished27 MayUS Air Force denies AI drone attacked operatorPublished1 day agoTop StoriesModi vows punishments over deadly India rail crashPublished11 minutes ago'My mother was missing, I got a picture of the body'Published14 hours agoTwenty injured after Russian strike on DniproPublished2 hours agoFeaturesHow did three trains collide in India?Can sci-fi films teach us anything about an AI threat?Caesarean by phone light - giving birth in a warzoneHow many Russians have left during war - and who are they?How the Pakistani military feel about Imran KhanSolar panels - an eco-disaster waiting to happen?Your pictures on the theme of 'bridges'Tracking the rise of Russia’s missile strikes on KyivA rare insight into Hitler's private life. VideoA rare insight into Hitler's private lifeElsewhere on the BBCThe rise of the 'no-wash' movementWhy the city that never sleeps is slowly sinkingThe generation clocking the most hoursMost Read1How many Russians have left during war - and who are they?2Parents clash in Pride protest at US primary school3Modi vows punishments over deadly India rail crash4Twenty injured after Russian strike on Dnipro5Utah schools ban Bible for 'vulgarity and violence'6Solar panels - an eco-disaster waiting to happen?7How did three trains collide in India?8White House says Biden is fine after fall on stage9'My mother was missing, I got a picture of the body'10Three Israeli soldiers killed near Egypt borderBBC News ServicesOn your mobileOn smart speakersGet news alertsContact BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with us© 2023 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. | Can sci-fi films teach us anything about an AI threat? | Can scifi films teach AI threat? BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreStoriesEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechCan scifi films teach AI threat?Published1 hour agoShareclose panelShare Copy linkAbout sharingImage source, AlamyImage caption, Samantha Morton left Tom Cruise 2002 scifi film Minority Report, future technology helps catch people commit crimesIn apocalyptic warning week, bigname researchers cited plot major movie series AI disaster scenarios said threaten humanitys existence.Two socalled godfathers AI worried disagree more, saying prophecies doom nonsense. When trying sense interview British television researchers warned existential threat, presenter said: As somebody experience I think Terminator, I think Skynet, I think films Ive seen.He alone. The organisers warning statement Centre AI Safety CAIS Pixars WALLE example threats AI.Science fiction vehicle guess future holds. Very rarely, gets things right.Using CAIS list potential threats examples, Hollywood blockbusters tell AI doom?EnfeeblementWallE Minority ReportImage source, AlamyCAIS says enfeeblement humanity completely dependent machines, similar scenario portrayed film WALLE.If need reminder, humans movie happy animals work barely stand own. Robots tended them.Guessing possible entire species crystalballgazing. But another, insidious form dependency far away. That handing power technology fully understand, says Stephanie Hare, AI ethics researcher author Technology Is Not Neutral. Think Minority Report, pictured article. Wellrespected police office John Anderton played Tom Cruise accused crime committed systems built predict crime certain will.Predictive policing London Met uses it, Ms Hare says.In film, Tom Cruises life ruined unquestionable doesnt fully understand.So happens lifealtering decision mortgage application prison parole refused AI?Today, human explain didnt meet criteria. But AI systems opaque researchers built dont fully understand decisionmaking.We feed data in, something. magic happens, outcome happens, Ms Hare says. The technology efficient, arguable critical scenarios like policing, healthcare, war, says. If explain it, okay.WeaponisationThe TerminatorImage source, AlamyThe true villain Terminator franchise isnt killer robot played Arnold Schwarzenegger, Skynet, AI designed defend protect humanity. One day, outgrew programming decided mankind greatest threat common film trope. We course long way Skynet. But think eventually build artificial generalised intelligence AGI humans better selfaware.For Nathan Benaich, founder AI investment firm Air Street Capital London, little farfetched.Scifi tells creators culture technology, says adding predictions future rarely come pass.Earlier twentieth century, people imagined world flying cars, people stayed touch ordinary telephones travel way, communicate completely differently.What today road like Star Treks shipboard Skynet. Computer, list crew members, say, AI today answer questions list normal language.It not, however, replace crew torpedoes.US Air Force denies AI drone attacked operator Worries weaponisation integrating AI military hardware cards trust technology lifeanddeath scenarios. Naysayers worried potential AI designed medicine turned new chemical weapons, similar threats.Emergent goals deception2001: A Space OdysseyImage source, AlamyAnother popular trope film AI evil rather, misguided.In Stanley Kubricks 2001: A Space Odyssey, meet HAL9000, supercomputer controls functions ship Discovery, making astronauts lives easier malfunctions.The astronauts decide disconnect HAL things themselves. But HAL knows things astronauts dont decides jeopardises mission. The astronauts way. HAL tricks astronauts kills them.Unlike selfaware Skynet, argue HAL told preserving mission, way expected to.In modern AI language, misbehaving AI systems misaligned. Their goals match human goals. Sometimes, thats instructions clear AI smart shortcut. For example, task AI sure answer text document match, decide best path change text document easier answer. That human intended, technically correct.So 2001: A Space Odyssey far reality, reflect real problem current AI systems.MisinformationThe MatrixImage source, AlamyHow know difference dream world real world? Morpheus asks young Keanu Reeves 1999s The Matrix. The story people live lives realising world digital fake good metaphor current explosion AIgenerated misinformation.Ms Hare says that, clients, The Matrix useful starting point conversations misinformation, disinformation deepfakes.I talk The Matrix, [and] end... mean elections? What mean stock market manipulation? Oh god, mean civil rights like human literature civil liberties human rights? Can tell difference AI reality?ChatGPT image generators manufacturing vast reams culture looks real entirely wrong up. There far darker creation damaging deepfake pornography extremely difficult victims fight against. If happens me, I love, theres protect right now, Ms Hare says.What actually happenSo, warning AI experts dangerous nuclear war?I thought irresponsible, Ms Hare says. If guys truly think that, think that, stop building it.Its probably killer robots need worry about, says rather, unintended accident. Theres going high security banking. Theyll high security weapons. So attackers release [an AI] maybe hoping little bit cash, power flex then, maybe control it, says.Just imagine cybersecurity issues weve had, times billion, going faster.Nathan Benaich Air Street Capital reluctant guesses potential problems.I think AI transform lot sectors ground up, [but] need super careful rushing decisions based feverish outlandish stories large leaps assumed sense bridge look like, warns.Related TopicsArtificial intelligenceMore storyAI godfather feels lost lifes workPublished3 days agoCan tell difference AI reality?Published21 MayUS lawyer admits ChatGPT case researchPublished27 MayUS Air Force denies AI drone attacked operatorPublished1 day agoTop StoriesModi vows punishments deadly India rail crashPublished11 minutes agoMy mother missing, I got picture bodyPublished14 hours agoTwenty injured Russian strike DniproPublished2 hours agoFeaturesHow trains collide India?Can scifi films teach AI threat?Caesarean phone light giving birth warzoneHow Russians left war they?How Pakistani military feel Imran KhanSolar panels ecodisaster waiting happen?Your pictures theme bridgesTracking rise Russias missile strikes KyivA rare insight Hitlers private life. VideoA rare insight Hitlers private lifeElsewhere BBCThe rise nowash movementWhy city sleeps slowly sinkingThe generation clocking hoursMost Read1How Russians left war they?2Parents clash Pride protest US primary school3Modi vows punishments deadly India rail crash4Twenty injured Russian strike Dnipro5Utah schools ban Bible vulgarity violence6Solar panels ecodisaster waiting happen?7How trains collide India?8White House says Biden fine fall stage9My mother missing, I got picture body10Three Israeli soldiers killed near Egypt borderBBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise 2023 BBC. The BBC responsible content external sites. Read approach external linking. | 2,023 | [
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] | 1 | 1,237 |
Subsets and Splits