Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Jonathan Haines, principal investigator and chair of the CWRU Department of Population and Quantitative Health Sciences, said ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...

Your early life may quietly set the stage for developing Type 1 diabetes, an increasingly common, lifelong condition that can ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

At AACR, Guardant Health and a Japanese group showcased data on machine learning models that predict the tissue of origin in cancers of unknown primary.

The Centre for Brain Research at the Indian Institute of Science has launched an artificial intelligence challenge worth Rs 2 ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

A team of scientists from NTU Singapore has developed a new biochip that, when paired with artificial intelligence, can ...

With a new $6.2 million, five-year grant from the National Institute on Aging, researchers at Case Western Reserve University will use artificial intelligence (AI) and machine learning to identify ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...