Brain-computer interfaces are enabling paralyzed individuals to regain lost functions, primarily through the control of robotic arms and recently, the restoration of speech.
The speech brain-computer interface developed by researchers at UC Davis showcases an innovative method to interpret neural signals from a man with ALS, achieving over 97% accuracy.
These interfaces record brain signals during speech attempts, translating unique neurological patterns into text or speech, thereby offering a new communication channel for non-verbal individuals.
Key to the success of the system is the integration of AI language models that aid in interpreting natural language from the brain's electrical signals.
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