Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data ...

India's climate crisis deepens due to communication gaps, hindering understanding and action on 'Loss and Damage' impacts.

Scientists reveal how artificial intelligence can learn emotion concepts the way humans do, using bodily responses and context.

Columnist Natalie Wolchover checks in with particle physicists more than a decade after the field entered a profound crisis.

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

When using generative AI often and broadly, modern organizations tend to assume their strategies are original by default.

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...