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Engineers at The University of Texas at Austin have developed a calibration-free brain-computer interface (BCI) that allows people with motor disabilities to control devices with their minds. This research is part of a larger effort to improve the lives of individuals with disabilities. The team is also working on new ways to train individuals to use BCIs. The BCI uses machine learning and transfer learning to adapt to each individual user, making it more accessible and user-friendly.