Three teams working independently have uploaded papers to the bioRxiv preprint server outlining their research involving attempting to use neural network-based AI systems to translate brainwaves into decipherable speech. The first, by a team with members from Columbia University and Hofstra Northwell School of Medicine, focused on recordings made using brain electrode implants with epilepsy patients. The second team, with members from the University of Bremen, Maastricht University, Northwestern University and Virginia Commonwealth University, used data from brain probes implanted during brain tumor surgery. The third team involved a pair of researchers from the University of California and also relied on data from electrodes implanted into the brains of epilepsy patients.

Source link