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

Detection decisions (red for absence, blue for presence) are based on the disjunctive integration rule (disjunction and negation of disjunction). Confidence decisions (dashed line for not sure, full ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

AI infrastructure is evolving as enterprises build domain-aware systems with orchestration, continuous evaluation, and ...

The race to lead in assisted driving has become one of the most competitive and consequential arenas in the automotive sector ...

An interview with integration vendor Celigo about Aura, its new conversational agent, sparks some thoughts about the future ...

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 ...

From OCR data extraction to language models, technology is unlocking access, with Gyan Bharatam Mission prioritising ...

Superficial keratectomy with cryopreserved amniotic membrane may be safe and effective for treating epithelial basement membrane dystrophy.

Ahead of The Festival of Genomics, Biodata & AI in Boston, we’re sitting down with some of our expert speakers […] ...

“Among the Baga people in Guinea, this mask of the Nimba figure celebrates women and fertility,” says Ezeluomba. “It has a ...

The movement in five works. By Julia Halperin One of the earliest and most famous conceptual artworks is “Fountain” by Marcel ...