Brain-computer interface technology uses AI to transform brain activity into text

On August 5, researchers from the Meta artificial intelligence team in the United States, the University of Arts and Sciences in Paris in France and the Adolf Rothschild Foundation Hospital developed a non-invasive "brain activity-to-text" conversion method that combines artificial intelligence (AI) technology. This brain-computer interface technology uses deep learning algorithms to decode people's brain activity during keyboard input based on EEG or magnetoencephalogram signals and convert it into corresponding text. Relevant research is published in the new issue of the journal Nature Neuroscience.