Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...
Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...
Neural networks are emerging as transformative tools in the field of material sciences by providing new avenues for constitutive modelling. Integrating advanced algorithms with physics-based insights, ...
Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
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 are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...
An improved model identifies power-reducing dust accumulation on photovoltaic modules, helping engineers know when the modules need cleaning.
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