Meta's non-surgical mind reading machine improves on prior projects, but still isn't great

61% word accuracy is progress, but the system still relies on users typing and can't yet support real-time communication. Implanted BCIs remain well ahead

For those who can't move their fingers to type, a brain-computer interface that can help them communicate by decoding neural activity is a lifeline. Researchers at Meta have been working on a noninvasive - no surgery required - brain-computer interface that is better than its predecessors, but still far from practically usable after more than a year of work.

Meta announced the second iteration of its system designed to pick up and decode brain signals that fire when users are typing, called Brain2Qwerty, on Monday. The researchers explained in a pair of papersreleased alongside the announcement that B2Q v2 was able to achieve an average word accuracy of 61 percent (78 percent for the best-performing participant), which they said was a considerable improvement over previous...

Copyright of this story solely belongs to theregister.com. To see the full text click HERE