Scientists have developed a new AI-powered helmet that uses sensors to transform human thoughts into written words. OpenAI CEO Sam Altman predicted this a few weeks ago on the Joe Rogan Experience podcast.
What Happened: A research team has fused AI to the helmet with sensors, creating a technology that is capable of interpreting brain waves into text, reported New Scientist.
The participants of this study donned a cap that documented their brain’s electrical activity while reading specific texts. The AI model, termed DeWave, then processed these electro-encephalogram (EEG) recordings into words.
According to Chin-Teng Lin at the University of Technology Sydney (UTS), the technology is non-invasive, relatively inexpensive, and easily portable.
However, there is a catch: this AI helmet has an accuracy rate of just 40%, which could be considered suboptimal.
On a positive note, though, Lin shared that newer data, currently under peer review, suggests an improved accuracy rate of over 60%.
Charles Zhou, another researcher at UTS, explained that this AI helmet that uses the DeWave model is trained to correlate brain signals with specific sentences.
Once DeWave understood the brain signals, it was linked to an open-source large language model (LLM), like the AI that fuels Microsoft Corp.-backed MSFT OpenAI's ChatGPT.
The researchers expect that with further enhancements, this system could help those who have lost their speech due to conditions such as stroke.
Why It Matters: This development mirrors the vision of OpenAI CEO Altman, who predicted the arrival of a neural device capable of displaying words as one thinks them, thus enabling telepathic communication.
According to Altman, leveraging advancements in AI, these devices could visualize a person’s thoughts as a “word soup” in their field of vision. This recent breakthrough brings us one step closer to making this once-science-fiction concept a reality.
Source: Pixabay
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