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Top AI News Headlines for Tuesday March 19th

Nvidia debuts ‘world’s most powerful chip’

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Today’s Headlines:

  • Nvidia debuts ‘world’s most powerful chip’- NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.

  • Stability AI released Stable Video 3D - Stable Video 3D (SV3D), a generative model based on Stable Video Diffusion, is advancing the field of 3D technology and delivering greatly improved quality and view-consistency. SV3D_u generates orbital videos based on single image inputs without camera conditioning. SV3D_p extends the capability by accommodating both single images and orbital views, allowing for the creation of 3D video along specified camera paths.

  • Roblox Introduces AI-Powered Avatar and Texturing Technologies to Accelerate 3D Creation - The new tools help creators iterate and scale faster by eliminating time-consuming avatar setup and texturing steps respectively — reducing time spent by hours or even days and removing the need to master these steps.

  • Homeland Security tests new uses of generative AI - Like many government agencies, DHS is trying to figure out where it can harness generative AI despite risks related to accuracy, bias and other issues. The agency announced three new efforts across its work.

  • Samsung to create new type of semiconductor for humanlike AI - "Our plan is to continuously release new versions of our AGI Computing Lab chip designs, an iterative model that will provide stronger performance and support for increasingly larger models at a fraction of the power and cost," Kyung said.

  • Nvidia is using AI to turn game characters into chatbots - Tech demos at GDC show how generative AI is being used to voice, animate, and write narratives for video game characters.

  • The Future of AI and Machine Learning - Navigating the Next Decade - The realms of artificial intelligence (AI) and machine learning (ML) are poised to redefine the fabric of our daily lives, industries, and the global economy over the next decade. From the intricate algorithms that filter our digital interactions to the quantum computing breakthroughs on the horizon, the future of AI is a tapestry of innovation, challenges, and unprecedented opportunities.

  • Nvidia enlists humanoid robotics’ biggest names for new AI platform, GR00T - Project GR00T is “a general-purpose foundation model for humanoid robots.” The SoC includes a next-generation GPU based on NVIDIA Blackwell architecture with a transformer engine delivering 800 teraflops of 8-bit floating point AI performance to run multimodal generative AI models like GR00T. With an integrated functional safety processor, a high-performance CPU cluster and 100GB of ethernet bandwidth, it significantly simplifies design and integration efforts.

  • DeepMind and Liverpool FC develop AI to advise on football tactics - An AI model trained on data from Premier League matches can help football coaches devise tactics for attacking or defending corner kicks.

  • Building fairness into AI is crucial – and hard to get right - Fairness is inherently subjective, influenced by cultural, social and personal perspectives. Researchers and policymakers have proposed various definitions of fairness, such as demographic parity, equality of opportunity and individual fairness.

  • Digital stethoscope uses artificial intelligence to help doctors detect heart valve problems - Only about 40% of heart murmurs can be detected during a physical exam by a clinician with a regular stethoscope. But this new stethoscope, developed by EKO Health, and the new technology with it are changing that by having the AI-enhanced stethoscope transmit sounds from the patient's heart to an iPad or smartphone.

  • Nvidia launches NIM to make it smoother to deploy AI models into production - Typically, it would take developers weeks — if not months — to ship similar containers, Nvidia argues — and that is if the company even has any in-house AI talent. With NIM, Nvidia clearly aims to create an ecosystem of AI-ready containers that use its hardware as the foundational layer with these curated microservices as the core software layer for companies that want to speed up their AI roadmap.

  • The era of the AI home broker approaches - An AI trained on the actions of very good brokers would be able to forward new listings to clients within seconds of them appearing; would be up to speed on the plethora of documents and payments that need to be brought to a closing; and could answer questions in an approachable, conversational style 24 hours a day.

  • Nvidia stock dips after company unveils latest AI chips - Nvidia shares dipped 2% Tuesday morning after the company unveiled its latest generation of artificial intelligence chips called Blackwell.

  • Global investors are the most bullish on stocks in 2 years, even as 40% say AI is a bubble - Investors are optimistic about the stock market, though some are growing wary about a potential bubble, according to Bank of America's global fund manager survey released Tuesday.

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