Scientists have completed the first-ever demonstration of a “plug and play” brain prosthesis controlled by a paralyzed person. The system uses machine learning to help the individual control a computer interface with just their brain. Unlike most brain-computer interfaces (BCI), the AI worked without requiring extensive daily retraining. Study senior author Karunesh Ganguly, an associate professor in the UC San Francisco Department of Neurology, described the breakthrough in a statement: The BCI field has made great progress in recent years, but because existing systems have had to be reset and recalibrated each day, they haven’t been able to tap into the brain’s natural learning processes.…
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