A new technical paper titled “Fast and robust analog in-memory deep neural network training” was published by researchers at IBM Research. “Analog in-memory computing is a promising future technology ...

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

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

Artificial intelligence terminology continues to expand as researchers and companies develop new systems, prompting the need ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...