Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

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 ...

The app is expected to operate on a separate algorithm and data system and users outside the US would not find this version ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

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

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

Are you confused about how to predict upcoming trends in social media? Is it affecting your performance? Don’t go through the frustration of uncertainty; use pr ...

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

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...