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

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding improvements in future model development. Despite its importance, rigorous ...

Launching a company for the first time brings unexpected challenges that no classroom or textbook can fully prepare you for. This article compiles hard-won ...

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

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 ...

Bridging the gap between theory and reality, material testing transforms dense technical specifications into the physical ...

I put GPT-5.5 through a 10-round test: It scored 93/100, losing points only for exuberance ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...