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Researchers used AI models based on the current neural networks (RNN) to read and accurately decode the amputee’s intent of moving individual fingers from peripheral nerve activities. The AI models are deployed on an NVIDIA Jetson Nano as a portable, self-contained unit. With this AI-powered nerve interface, the amputede can control a neuroprosthetic hand with life-like dexterity and intuitiveness. i think it is one of the most exciting applications of the current state of transformers and can change the lives of many people.
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