It’s not breaking news that stocks, bonds and commodities have all been gripped by volatility this past month, with assets seeing wild swings as the U.S.-Iran war has dragged on. The conflict has ...

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 ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

The cost of training today’s large-scale foundation models is often reduced to a single number: the price of a GPU hour. It's ...

Neuronal specification, expansion and differentiation are tightly regulated by the concerted actions of transcription and chromatin modifying factors that are recruited to regulatory elements in the ...

How Physical Intelligence is Redefining Robot Learning In the fast‑evolving world of robotics, a breakthrough announced by the research team ...