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.

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...

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 ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...

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, ...