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

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

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

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

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...

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

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

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

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

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

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...