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 ...

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

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

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 ...

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 ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

According to a new study by researchers Francisco W. Kerche, Matthew Zook, and Mark Graham, Large Language Models (LLMs) ...

The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand those machines when they don't.

The N.F.L. claims Guardian Caps reduce the risk of concussions. The company that makes them says, “It has nothing to do with ...