A new artificial intelligence model can improve the process of drug and vaccine discovery by predicting how efficiently ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Today, the ability to learn quickly and retain information deeply isn’t just an advantage; it’s a necessity in a competitive world. Dr. Lev Goldentouch and Professor Anna Goldentouch are among a rare ...

Transfer learning is an important approach that produces pre-trained teacher models which can be used to quickly build specialized student models. However, recent research on transfer learning has ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...

Federated learning (FL), as a promising machine learning paradigm for large-scale distributed data, faces two security challenges of privacy and robustness: the transmitted model updates potentially ...

Add a description, image, and links to the machine-learning-theory topic page so that developers can more easily learn about it ...

New research proposes a unified theory of brain function based on criticality—a state where the brain teeters between order and chaos, allowing it to learn, adapt, and process information optimally.