In a significant advance, researchers working toward a brain-controlled prosthetic limb at the UCSF Weill Institute for Neurosciences have shown that machine learning techniques helped a paralyzed individual learn to control a computer cursor using their brain activity without requiring extensive daily retraining, which has been a requirement of all past brain-computer interface (BCI) efforts.