Artificial Intelligence User Interface Transforms Mental Commands into Physical Actions
UCLA Develops Revolutionary AI-BCI Technology
In a groundbreaking development, researchers at the University of California, Los Angeles (UCLA) have unveiled a non-invasive Brain-Computer Interface (BCI) system that leverages artificial intelligence (AI) to assist individuals with paralysis in controlling devices like robotic arms and computer cursors.
The research, titled "Brain-computer interface control with artificial intelligence copilots", was published in the prestigious journal, Nature Machine Intelligence. The study was funded by the National Institutes of Health and the Science Hub for Humanity and Artificial Intelligence, a collaboration between UCLA and Amazon.
The innovative system employs a hybrid adaptive decoding approach, which combines a convolutional neural network and a ReFIT-like Kalman filter. This unique combination enables the AI to interpret the user's intent in real-time, providing an unprecedented level of control over devices.
Two AI copilots were designed to aid BCI users in tasks such as cursor control and robotic arm pick-and-place tasks. The researchers, members of Kao's Neural Engineering and Computation Lab at UCLA, include Sangjoon Lee, Abhishek Mishra, Xu Yan, Brandon McMahan, Brent Gaisford, Charles Kobashigawa, Mike Qu, and Chang Xie.
The AI-BCI technology has shown remarkable results. In tests, a participant with paralysis was able to achieve a 3.9-times-higher performance in target hit rate during cursor control tasks. Furthermore, they were able to control a robotic arm to move random blocks to random locations, a task they could not perform without an AI copilot.
The UCLA Technology Development Group has applied for a patent related to the AI-BCI technology, signifying the potential for widespread application and impact. This development represents a significant step forward in the field of BCI technology, offering hope for those living with paralysis and the possibility of increased independence and quality of life.
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