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Brain implant and AI restore paralyzed man's movement and sensation

Researchers implanted electrodes in the motor and sensory cortex of a tetraplegic patient, then used machine learning to decode neural signals in real time—allowing him to control a robotic hand and feel simulated touch simultaneously. This moves brain-computer interfaces beyond isolated motor control into bidirectional communication. Restoring sensation, not just movement, is what makes limbs feel like they belong to you again. The difference is experiential: a controllable prosthetic versus restored embodiment.