Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...

By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...

Abstract: Online learning’s rise presents unique challenges for the deaf community, particularly in understanding educational videos. This research addresses the problem by proposing a solution to ...

AI-powered translation tools are certainly impressive. But there is an important frontier for translation technology, one AI ...

Abstract: This research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level ...

Google has been chasing real-time translation for years, which it says has been one of its “pioneering machine learning experiments.” We’ve seen numerous demos on stage at Google events in the past, ...

Krisp , the leader in real-time voice AI technology, today announced Voice Translation v3, a major release for its enterprise voice ...

Hematoma expansion (HE) is a common occurrence affecting around 10% to 30% of patients with acute intracerebral hemorrhage within the initial hours from symptom onset and is the only modifiable factor ...