The same results will be possible for devices that use the synaptic transistor, as the artificial intelligence is able to ‘learn’ and adapt to its environment.”Īccording to Yu, the artificial neurons in the device were designed to perform like neurons in the ventral tegmental area, a tiny segment of the human brain located in the uppermost part of the brain stem. “For example, if we burn our hand on a stove, it hurts, and we know to avoid touching it next time. “Mirroring the human brain, robots and wearable devices using the synaptic transistor can use its artificial neurons to ‘learn’ and adapt their behaviors,” Yu said. Led by Cunjiang Yu, Dorothy Quiggle Career Development Associate Professor of Engineering Science and Mechanics and associate professor of biomedical engineering and of materials science and engineering, the team designed the synaptic transistor to be integrated in robots or wearables and use artificial intelligence to optimize functions. The device works like neurons in the brain to send signals to some cells and inhibit others in order to enhance and weaken the devices’ memories. Robotics and wearable devices might soon get a little smarter with the addition of a stretchy, wearable synaptic transistor developed by Penn State engineers. Stretchy, bio-inspired synaptic transistor can enhance, weaken device memories Conventional transistors, on the other hand, are rigid and can break after being bent. Credit: Kelby Hochreither/Penn State. All Rights Reserved. The synaptic transistor is reconfigurable, meaning it can be twisted and bent, yet still remain functional, as researchers Cunjiang Yu (left), Dorothy Quiggle Career Development Associate Professor of Engineering Science and Mechanics (ESM), and ESM graduate student Hyunseok Shim demonstrate in this photo.
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