Connect with random people instantly. Find them in the world’s largest group chat. The “Omegle” for people who don’t want to get creepy messages from old people and weird strangers! Free private chat forever, and meet people along the way. Zonish is also great for you to contact your friends anonymously. Zonish.com is also the best way to contact your friends anonymously, without your parents finding out! Our site is pretty much a way for you to launder your chats. Statistically, the chance of someone finding your chat is impossible, unless they are with you in real life, looking at your computer or device. We hope to make the internet a safer and more secure place for everyone to chat on, without the risks of being spied on, by anyone untrustworthy. Talking to strangers online can be sketchy, so if you are ever talking to someone you don’t feel comfortable with, please just leave the chat. If you are reading this, please let us know if you have any ideas, questions, or concerns for our website here: [email protected] Thanks for reading and enjoy chatting!

Lending a Helping Hand: Jules Anh Tuan Nguyen on Building a Neuroprosthetic

With deep learning, amputees can now control their prosthetics by simply thinking through the motion.

Jules Anh Tuan Nguyen spoke with NVIDIA AI Podcast host Noah Kravitz about his efforts to allow amputees to control their prosthetic limb — right down to the finger motions — with their minds.

Using neural decoders and deep learning, this system allows humans to control just about anything digital with their thoughts, including playing video games and a piano.

Nguyen is a postdoctoral researcher in the biomedical engineering department at the University of Minnesota. His work with his team is detailed in a paper titled “A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control.”

Key Points From This Episode:

  • Nguyen and his team created an AI-based system using receptors implanted in the arm to translate the electrical information from the nerves into commands to execute the appropriate arm, hand and finger movements — 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 consume less power — enough for a person to use it for at least eight hours a day before having to recharge it.

Tweetables:

“To make the amputee move and feel just like a real hand, we have to establish a neural connection for the amputee to move their finger and feel it just like a missing hand.” — Jules Anh Tuan Nguyen [7:24]

“The idea behind it can extend to many things. You can control virtual reality. You can control a robot, a drone — the possibility is endless. With this nerve interface and AI neural decoder, suddenly you can manipulate things with your mind.” — Jules Anh Tuan Nguyen [22:07]

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