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AI Decodes Brain Activity to Help Paralyzed Patients Communicate

By

ggm

3mo ago· 13 min readenNews

Summary

Researchers at University of California, Davis are using artificial intelligence to decode brain activity and translate it into speech, particularly helping paralyzed individuals communicate. The article describes how AI systems can interpret the electrical signals in the brain to reconstruct internal thoughts and speech, with a specific case study of a 52-year-old woman paralyzed by a stroke who can now communicate through this technology. The research represents a breakthrough in brain-computer interfaces and neurotechnology.

Key quotes

· 3 pulled
The crackle of electricity inside your brain has long been too complex to decode. Artificial intelligence is changing that.
Words were forming on a screen in front of her, slowly piecing together into whole sentences. Sentences she couldn't say out loud.
The 52-year-old woman had been paralysed by a stroke 19 years earlier, leaving her unable to speak clearly. Here, however, her internal monologue was...
Snippet from the RSS feed
The crackle of electricity inside your brain has long been too complex to decode. Artificial intelligence is changing that.

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