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

After several iterations and eight months of parliamentary wrangling the DUA does do some good, not least in smart data. It also leaves many questions unanswered. It does not deliver cross-cutting ...

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

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

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

Firms target improvements in execution and strategy selection, but face hurdles in data, cost, and explainability.

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

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

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

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 ...

Designed to eliminate the friction of traditional video production, JoggAI combines cutting-edge AI with intuitive design to help users create professional-grade content in minutes. From ...

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...