Utilizing neural decoders and deep learning, this system permits people to manage practically anything digital with their ideas, including playing computer game and a piano.
Jules Anh Tuan Nguyen spoke with NVIDIA AI Podcast host Noah Kravitz about his efforts to allow amputees to manage their prosthetic limb– right to the finger movements– with their minds.
With deep learning, amputees can now control their prosthetics by just analyzing the motion.
Nguyen is a postdoctoral researcher in the biomedical engineering department at the University of Minnesota. His deal with his group is detailed in a paper titled “A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control.”
Bottom line From This Episode:
Nguyen and his group created an AI-based system using receptors implanted in the arm to equate the electrical details from the nerves into commands to execute the suitable arm, hand and finger motions– all built into the arm.
The two main objectives of the system are to make the neural interface wireless and to optimize the AI engine and neural decoder to take in less power– enough for a person to utilize it for at least eight hours a day before having to charge it.
” To make the amputee relocation and feel much like a genuine hand, we have to develop a neural connection for the amputee to move their finger and feel it similar to a missing hand.”– Jules Anh Tuan Nguyen [7:24]
” The concept behind it can reach numerous things. You can control virtual truth. You can manage a robotic, a drone– the possibility is endless. With this nerve user interface and AI neural decoder, all of a sudden you can manipulate things with your mind.”– Jules Anh Tuan Nguyen [22:07]
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Emil Hewage is the co-founder and CEO at Cambridge Bio-Augmentation Systems, a neural engineering start-up. The U.K. start-up is building user interfaces that utilize AI to help plug medical devices into our nervous systems.
You can manage virtual truth. You can manage a robot, a drone– the possibility is unlimited. Listen in to hear NVIDIA engineer Bob Bond and Make: Magazine Executive Editor Mike Senese describe how theyre entertaining with deep knowing.