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AI Boosts Brain-Computer Interfaces for Faster Thought Control

Source: sciencedirect.com

Researchers created an AI system that decodes brain signals into computer commands much faster than before.
It uses a special neural network to handle noisy brain data from paralyzed patients.
Tests showed 90% accuracy in controlling a cursor with thoughts in real time.

This paper introduces a new artificial intelligence method to improve brain-computer interfaces, which let people control devices using only their thoughts. These interfaces help paralyzed individuals communicate or move things, but past versions were slow and unreliable due to messy brain signals. The advance matters because it could make thought-based control practical for everyday use.