Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...
The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
Nvidia it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by Nvidia. Google Quantum AI is using the hybrid quantum ...
Have you ever wondered what it would take to train a robot to walk, grasp objects, or navigate a cluttered room with the same ease as a human? For many, the idea of teaching robots these complex tasks ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
SUNNYVALE, Calif. – May 15, 2024 – Accelerated generative AI chip company Cerebras Systems, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories, ...
Nvidia has released an updated version of its PhysX SDK. Version 4.0 is now available to anyone interested and since it went open source recently, developers can implement this physics engine on GPUs ...
The quest for a usable quantum computer continues, but it may be decades before we have the powerful error-corrected qubits to make this technology a reality. In the meantime, classical computing is ...
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