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Legal action taken against Apple, Microsoft’s dream to achieve in artificial intelligence, and Nvidia’s unforeseen developments

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Microsoft’s AI ambitions dominated the news as well, so let’s dive right in.…Did someone forward this to you? The U.S. joined international regulators in accusing Apple of using monopolistic tactics to lock in iPhone users. In response, Apple claims the DOJ’s actions could ruin exactly what its users enjoy about its phones and ecosystem. NewsMicrosoft absorbs Inflection AI’s leads: The co-founders of the high-profile AI startup were scooped up by Microsoft on Tuesday in a deal that positions Mustafa Suleyman as the lead of consumer-facing unit Microsoft AI, and Karén Simonyan as the EVP and CEO of the same group. Amid numerous feature launches and AI updates, the company remains unclear about its path to monetization.

Solving AI Hallucinations: Jensen Huang of Nvidia Predicts Artificial General Intelligence Within 5 Years

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Artificial General Intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence. Huang, however, spent some time telling the press what he does think about the topic. He suggests that the tests could be a legal bar exam, logic tests, economic tests or perhaps the ability to pass a pre-med exam. AI hallucination is solvableIn Tuesday’s Q&A session, Huang was asked what to do about AI hallucinations – the tendency for some AIs to make up answers that sound plausible, but aren’t based in fact. He appeared visibly frustrated by the question, and suggested that hallucinations are solvable easily – by making sure that answers well-researched.

“Unexpected Revelations at GTC: A Recap of Nvidia’s Keynote”

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Nvidia chips give graphics-hungry gamers the tools they need to play games in higher resolution, with higher quality and higher frame rates. Anyone who came to the keynote expecting him to pull a Tim Cook, with a slick, audience-focused keynote, was bound to be disappointed. The company also introduced Nvidia NIM, a software platform aimed at simplifying the deployment of AI models. “Anything you can digitize: So long as there is some structure where we can apply some patterns, means we can learn the patterns,” Huang said. And here we are, in the generative AI revolution.”Catch up on Nvidia’s GTC 2024:Update: This post was updated to include new information and a video of the keynote.

Unexpected Revelations at Nvidia’s GTC Keynote

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Nvidia chips give graphics-hungry gamers the tools they needed to play games in higher resolution, with higher quality and higher frame rates. Anyone who had come to the keynote expecting him to pull a Tim Cook, with a slick, audience-focused keynote, was bound to be disappointed. The company also introduced Nvidia NIM, a software platform aimed at simplifying the deployment of AI models. NIM leverages Nvidia’s hardware as a foundation and aims to accelerate companies’ AI initiatives by providing an ecosystem of AI-ready containers. “Anything you can digitize: So long as there is some structure where we can apply some patterns, means we can learn the patterns,” Huang said.

Virtual Spotlight: Discover the Excitement of the AI World at Nvidia’s GTC 2024 Conference

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Chip giant Nvidia is hosting a massive AI conference as part of its GTC event this week, which kicks off Monday. With a keynote planned from Jensen Huang, CEO and co-founder, of the company best known in year’s past for its gaming hardware and today for its massive market share in the burgeoning AI hardware market, expect Nvidia to make some news. Given how many AI startups and giants alike use Nvidia gear, TechCrunch is expecting quite a lot to shake loose over the next few days. To presage the confab, and detail just why we’re paying such close attention to a single company’s industry event, hit play below. Stick close to TechCrunch for coverage throughout the week.

the investment amounts of Nvidia’s competitors in startup companies.

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Nvidia’s chief rivals in the AI chip space — AMD, Arm and Intel — have been investing aggressively in startups, too, looking to make up ground in markets inclusive of the especially frothy generative AI segment. IntelOf Nvidia’s competitors, Intel far and away has the biggest startup investment operation thanks to Intel Capital, its long-running VC. Curiously, AI startups — despite their strategic importance to the chip industry these days — make up a relatively small portion of Intel’s venture portfolio. According to Crunchbase, Intel’s holdings in software, IT and enterprise SaaS companies far outnumber its AI startup holdings by deal volume. AMDLike Intel and Arm, AMD invests in startups both directly and through a VC org, AMD Ventures.

“An Insightful Conversation: Exploring Robotics with Nvidia’s Deepu Talla”

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We’re wrapping up our end-of-year robotics Q&A series with this entry from Deepu Talla. Over the past several years, NVIDIA has established itself a major platform for robotics simulation, prototyping and deployment. Previous Q&As:What role(s) will generative AI play in the future of robotics? Simulation: Models will be able to accelerate simulation development, bridging the gaps between 3D technical artists and developers, by building scenes, constructing environments and generating assets. These GenAI assets will see increased use for synthetic data generation, robot skills training and software testing.