Molecular eraser enables better data storage and computers for AI

4 years ago
Anonymous $6AJGTL-6_8

https://www.sciencedaily.com/releases/2019/11/191127090153.htm

"Computers today are contributing one gigatonne of carbon emissions to the atmosphere, and we can eliminate that by enhancing the most power-hungry parts of conventional computers with our atomic-scale circuitry," said Robert Wolkow, professor in the University of Alberta's Department of Physics a Principal Research Officer at the National Research Council of Canada's Nanotechnology Research Centre, and chief technical officer of Quantum Silicon Inc, a spinoff company taking the technology to market. "This new tool better enables an ultra-efficient kind of hybrid computer for the training of neural networks for artificial intelligence."

The latest finding speeds up the atomic-scale manufacturing process, taking advantage of a natural physical phenomenon. Hydrogen molecules seek out and automatically repair errors in atomic-scale circuitry and can be used to significantly improve the rewriting speeds of atomic data storage. This work builds on the decades-long dedication by Wolkow's research group to realizing the potential for atomic-scale manufacturing, something that has shifted from an idealistic dream to an ever more likely reality in the next few years.