With this release, use cases such as heat sinks, data center cooling, aerodynamics and deformation of solids in linear elastic regime can be solved. … Read more
A new demo introduces the recently announced NVIDIA SimNet Toolkit, the first multi-physics (CFD and Heat Transfer) analysis using physics-informed neural networks. … Read more
Researchers from Google, Princeton, Columbia and MIT developed a picking robot using physics and deep learning that can accurately toss random objects into bins two times faster than previous systems. … Read more
Participants in the Neural Information Processing Systems (NIPS) conference “Learning to Run” competition are vying for the chance to win an NVIDIA DGX Station, the fastest personal supercomputer for researchers and data scientists. … Read more
Phil Maechling, a computer scientist at USC’s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur. … Read more
Shahab Fatemi, PhD Fellow at the University of California Berkeley Space Sciences Laboratory, shares how his team is using CUDA, TITAN X and Tesla K80 GPUs to develop a three-dimensional plasma model that can provide a better understanding of how solar wind could affect Earth. … Read more
Russian scientists from Lomonosov Moscow State University used an ordinary GPU-accelerated desktop computer to solve complex quantum mechanics equations in just 15 minutes that would typically take two to three days on a … Read more