Top of the list is Neural Radiance Caching, which AMD says "continually learns how light bounces in a scene to predict and ...

High-entropy alloys (HEAs) offer tunable compositions and surface structures, presenting significant potential for creating novel active sites to enhance CO2 reduction (CO2RR) catalysis, a key process ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

VRAM saturation on modern graphics cards has been a looming problem ... “Inference on load,” is where textures are compressed using the neural network, but then converted to more traditional ...

[ViciousSquid] is updating this 90s idea for the 20s with a digital pet squid that uses a neural network to shape its behavior. The neural network that controls the squid’s behavior takes a ...

Once enabled, developers will be able to employ the Tensor cores — made specifically for AI tasks — in RTX GPUs to ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...