Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The Department of Chemistry and Materials Science is looking for: ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

Traders Magazine caught up with Kevin McPartland, Head of Market Structure and Technology Research at Crisil Coalition ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

AI agents are becoming algorithmic customers and redefining holiday shopping, supply chains and trust while raising new ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Researchers created pea-sized brain structures from stem cells to study neural firing patterns, correctly identifying bipolar disorder and schizophrenia.

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...