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 ...

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 ...

Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...

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

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.