Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

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 ...

An initial step of most NMR studies is identifying peaks in the obtained spectrum. Producing a peak list is especially crucial if the spectrum is automatically prepared. Peak picking is still ...