Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

This lets us evaluate the output of the network. At the same time, this allows one to measure all relevant information for the training," says Clara Wanjura, the first author of the study. The authors ...

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

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...