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

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Annotation automation fails in safety-critical edge cases where human judgment is the only reliable signal While autonomous vehicle programs have matured through standardized sensor configurations and ...