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

While real dogs still have a major leg up over robots, the machines are catching up. Popular Science previously highlighted a ...

A report looking at a system to extract themes from public consultations highlights human and LLM-based checks.

Advances in computing power, artificial intelligence and ways to measure sounds promise to speed this translating process, ...

When users rhapsodize about Opus 4.7, in early trials, they often reference a dramatic enhancement of its computer vision, ...