The Michigan Engineer News Center

An implant uses machine learning to give amputees control over prosthetic hands

'Ultra-precise mind-controlled bionics' research done in collaboration with Paul Cederna, Robert Oneal Collegiate Professor of Plastic Surgery and Professor of Biomedical Engineering, and Cindy Chestek, Associate Professor of Biomedical Engineering, is detailed in MIT Technology Review.
The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read