AAII Researchers Pioneer AI Mind-Reading Technology

At the GrapheneX-UTS Human-centric Artificial Intelligence Centre, postdoctoral research fellow Dr. Daniel Leong, AAII PhD student Charles (Jinzhao) Zhou, and their supervisor Distinguished Professor Chin-Teng Lin have developed a pioneering AI model capable of translating brain signals into words.

The technology draws on electroencephalogram (EEG) data, traditionally used in the diagnosis of brain conditions, and applies deep learning to decode specific words from brain activity. During testing, participants wear an EEG cap, think about each word displayed on a screen, and mouth it silently — activating brain regions involved in speech recognition. The electrode cap is connected to amplifiers that read the brainwaves and feed the data into the AI model, which then interprets the thoughts based on brainwave patterns.