Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...
Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.
NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
NVIDIA has shared additional information on its Neural Texture Compression technology, a rendering method designed to reduce ...
As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...
Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
An improved model identifies power-reducing dust accumulation on photovoltaic modules, helping engineers know when the ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Cloud networking company Cato Networks Ltd. today unveiled two major innovations for the Cato SASE Platform that are designed to secure enterprise artificial intelligence adoption at scale: Cato ...