Scientists Create Mind-Reading Helmet: It Translates Brain Waves!
© University of Technology Sydney & Freepik
What if technology could read your mind?
Sounds like something out of a sci-fi movie, right? Well, scientists have taken a giant leap forward in closing the gap between science fiction and reality with the world’s first mind-reading helmet.
Imagine a helmet that can actually translate your brain waves into commands. That is now possible! But, how did they manage to create the helmet and what does this mean for technology in the future?
The Mind-Reading Helmet Study
Scientists have created a groundbreaking AI that translates brainwaves into text using a sensor-covered helmet. Developed by a team at the University of Technology Sydney, this technology could transform care for patients who are unable to speak due to conditions like stroke or paralysis.
In a demonstration video, a human subject’s thoughts about a sentence shown on a screen were accurately decoded by the AI model, achieving nearly perfect matching results.
What Did the Scientists Have to Say?
The team anticipates their innovation to enable effortless control of devices like bionic limbs and robots through thought commands. Lead researcher Professor CT Lin described the research as groundbreaking, converting EEG waves directly into language, marking a major advancement in the field.
The new technology pioneers discrete encoding methods in translating brainwaves to text, revolutionizing neural decoding. Its integration with large language models is expanding frontiers in neuroscience and AI. Previous methods, like Elon Musk’s Neuralink requiring brain surgery or MRI scans, have been cumbersome and expensive for everyday use.
The new technology, however, uses a black helmet placed on the head to interpret a person’s thoughts.
What Was the Experiment Like?
Participants were shown sentences or statements on a screen and asked to think about reading them. The AI model then accurately displayed what it interpreted from the participants’ brainwaves. For example, one participant was prompted to think, “Good afternoon! I hope you’re doing well. I’ll start with a cappuccino, please, with an extra shot of espresso.”
The AI processed the input and responded on the screen with: “Afternoon! You well? Cappuccino, Xtra shot. Espresso.”
DeWave translates EEG signals into words using large language models (LLMs) that integrate features from BERT and ChatGPT. Currently, the translation accuracy stands at approximately 40 percent, with ongoing efforts by the team to increase it to 90 percent.
Would you ever use a mind-reading helmet?
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