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

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

The Education Secretary ran the W.W.E. for years with her husband, Vince, an unstable man who, like her new boss, has a ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

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 ...

Distinct cerebellar projections to the forebrain differentially support acquisition and offline consolidation of a motor skill engaging cerebello-striato-cortical circuits, revealing the temporal and ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

Researchers uncovered how estrogen subtly reshapes learning by strengthening dopamine reward signals in the brain. Rats learned faster when estrogen levels were high and struggled when the hormone’s ...

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 ...