Structure verification by NMR is a vital task in drug discovery but can be slow and subjective. This article explores how ASV ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Aashna Doshi interned at Google twice before she received a return offer. To separate herself from the pack, she focused on her network and portfolio.

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

In at least seven major departments or agencies, DOGE secured the power to view records that experts say could benefit Elon ...

Securing rights through patenting your software and its algorithms is among the most effective ways of ensuring you get value ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...