Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...
Morning Overview on MSN
Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...
Morning Overview on MSN
Nvidia demo shows neural texture compression can cut VRAM use by up to 85%
Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.
Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...
How can AI stabilize the power grid? New research uses biomimetic neural networks to manage the uncertainty of solar and wind energy, reducing hardware costs and preventing blackouts.
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