Brain Implants Enable Speech for Paralyzed Patients Thanks to AI Translation of Neural Signals
- Two studies show brain implants can decode speech signals from paralyzed patients at rates up to 78 words per minute.
- Electrodes implanted in patients' brains record neural activity associated with attempted speech.
- AI algorithms analyze these brain signals and translate them into text, audio speech, or animations.
- Patients trained the AI systems to recognize their unique brain patterns for different words and sounds.
- The technology shows promise but requires more research before widespread clinical availability.