Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care

The next universal technology since the smartphone is on the horizon — and it may be a little less pocket friendly. The Moonshot research program, funded by the Japan Science and Technology Agency and accelerated by NVIDIA AI and robotics technologies, is working to create a world by 2050 where AI-powered, autonomously learning robots are
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UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System

The Hao AI Lab research team at the University of California San Diego  — at the forefront of pioneering AI model innovation — recently received an NVIDIA DGX B200 system to elevate their critical work in large language model inference. Many LLM inference platforms in production today, such as NVIDIA Dynamo, use research concepts that
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The Largest Digital Zoo: Biology Model Trained on NVIDIA GPUs Identifies Over a Million Species

Tanya Berger-Wolf’s first computational biology project started as a bet with a colleague: that she could build an AI model capable of identifying individual zebras faster than a zoologist. She won. Now, the director of the Translational Data Analytics Institute and a professor at The Ohio State University, Berger-Wolf is taking on the whole animal
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UC Santa Cruz Maps Coastal Flooding With NVIDIA Accelerated Computing

Coastal communities in the U.S. have a 26% chance of flooding within a 30-year period. This percentage is expected to increase due to climate-change-driven sea-level rise, making these areas even more vulnerable. Michael Beck, professor and director of the UC Santa Cruz Center for Coastal Climate Resilience, focuses on modeling and mapping the benefits of
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How Do You Teach an AI Model to Reason? With Humans

AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into wa…

How Do You Teach an AI Model to Reason? With Humans

AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into water. While such principles seem obvious to humans, they must be taught to AI models tasked
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