Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today, I’m talking with Todd McKinnon, who is co-founder and CEO of Okta, a platform that lets big companies ...

As quantum threats evolve, post-quantum AI infrastructure is vital. VEIL minimizes data exposure, ensuring privacy in machine ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

How can you protect the sanctity of a raw photograph from AI interference when it’s already been automatically run through AI inside the camera? New research seeks to restore ‘true’ sensor data – also ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

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 ...

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...