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, ...

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 ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

AI is revolutionizing how healthcare is delivered. Eliminating human error, AI can make healthcare more accurate, accessible, ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...