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Aevov introduces a groundbreaking approach to machine learning that leverages the ubiquity of web technologies to create a scalable, accessible, and revolutionary platform for distributed AI computation. At its core, Aevov’s Web-Distributed Neural Architecture (WDNA) represents a paradigm shift in
Accelerated computing is sustainable computing, Bob Pette, NVIDIA’s vice president and general manager of enterprise platforms, explained in a keynote at the NVIDIA AI Summit on Tuesday in Washington, D.C. NVIDIA’s accelerated computing isn’t just efficient. It’s critical to the
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The U.S. healthcare system is adopting digital health agents to harness AI across the board, from research laboratories to clinical settings. The latest AI-accelerated tools — on display at the NVIDIA AI Summit taking place this week in Washington, D.C.
First and foremost, whether it happens in 5, 10, or 20 years, AGI will eventually come. Yes, you might lose your job, or you might find yourself in financial trouble. We’ve already seen the first major strike driven by fears
Serving as a bridge for academia, industry and public-sector groups to partner on artificial intelligence innovation, NVIDIA is launching its inaugural AI Tech Community in Pittsburgh, Pennsylvania. Collaborations with Carnegie Mellon University and the University of Pittsburgh, as well as
TSMC, the world leader in semiconductor manufacturing, is moving to production with NVIDIA’s computational lithography platform, called cuLitho, to accelerate manufacturing and push the limits of physics for the next generation of advanced semiconductor chips. A critical step in the
This summer, scientists supercharged their tools in the hunt for signs of life beyond Earth. Researchers at the SETI Institute became the first to apply AI to the real-time direct detection of faint radio signals from space. Their advances in
The path to safe, widespread autonomous vehicles is going digital. MITRE — a government-sponsored nonprofit research organization — today announced its partnership with Mcity at the University of Michigan to develop a virtual and physical autonomous vehicle (AV) validation platform