AI Briefing#brain-computer-interface
The latest AI and developer news about #brain-computer-interface, with the original source and a short summary.
The latest AI and developer news about #brain-computer-interface, with the original source and a short summary.
Researchers at UC Berkeley and UCSF developed a streaming system that produces the first sound of a sentence within about one second of detecting a brain signal, compared to an eight-second delay for a full sentence in their earlier approach.
The 218-million-parameter model predicts fMRI responses at 20,484 cortical points every 1.49 seconds without a scanner.
Introduces NEvo, a technique that uses an evolutionary algorithm to generate videos that maximally activate specific brain regions.
This introduces a technology that uses AI to generate videos that maximize the activity of specific brain regions and map visual selectivity.
Meta has unveiled Brain2Qwerty v2, which converts brain signals into text using a non-invasive method.
Meta has unveiled Brain2Qwerty v2, which combines non-invasive brainwave measurement (MEG) with LLMs to improve real-time sentence decoding performance.
Microsoft Research unveiled the GCT framework, which uses LLMs to explain and verify how the brain processes language.
China has approved the world's first invasive brain chip, 'NEO,' which can also be used for purposes beyond clinical trials.
OpenAI is participating in the seed round of Merge Labs, a brain-computer interface (BCI) research company.