BRAIN INTERFACE TECHNOLOGY TO ENABLE BRAIN ACTIVITY TRANSLITERATION THROUGH AI

On 5 August, a non-invasive “brain-to-text” conversion method combining Artificial Intelligence (AI) techniques was developed by the United States team Meta Artificial Intelligence, researchers from the Université de Estudios Estudios Estudios de Paris and the Adolphe Roschild Foundation Hospital in France. This brain interface technology, with the help of deep learning algorithms, is able to decodify the brain activity that people produce in the keyboard input and convert it to the corresponding text, based on an EEG or an EMP signal. Relevant research was published in a new issue of the journal Nature Neuroscience。