Dickinson presents its portfolio of “metamaterials,” looking to collaborate with industry partners to demonstrate their ...

This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

Doubled space will enable production of 24 aircraft/year in Marina, ramp-up of renovated Dayton facility to manufacture and ...

Enkrypt AI today announced the release of a comprehensive red team study evaluating the CBRN (Chemical, Biological, Radiological, and Nuclear) capabilities of frontier AI models.

The study — co-authored by Mark Aldenderfer, a professor emeritus of anthropology and heritage studies at UC Merced — suggests that ritual memory of the dead played a key role in the rise of ...

While that combination did not appear to be effective, the use of DA-1241 with an FGF21 analogue does appear quite promising in a preclinical MASH model.

Most leading AI models turn to unethical means when their goals or existence are under threat, according to a new study by AI company Anthropic. The AI lab said it tested 16 major AI models from ...

A model developed by LMU biophysicists demonstrates how biological processes form the convoluted internal architecture of the thymus—allowing for better suppression of autoimmune responses.

The small language model, which the company named Mu, can respond to natural language queries in Windows.

As AI models become “smarter,” the environmental cost of using them may be rising. Your carbon footprint may come down to what questions you ask it.

Study reveals AI models' CO2 emissions and accuracy trade-offs, urging users to choose energy-efficient options for sustainable AI use.

But even with this limitation, the new study fills a gap in research on the trade-off between energy cost and model accuracy, Dr. Dodge said.