Science & Tech
Breakthrough could lead to faster, more accurate programs to train neural networks for machine learning.
University of Alberta scientists have developed an atomic machine that acts like an electronic circuit—a breakthrough that could lead to faster, more accurate programs to train neural networks for machine learning.
The atomic electronic simulator, which uses precisely controlled patterns of atoms to control electrons, is the latest in a recent string of advances out of the U of A and Quantum Silicon Inc. that are paving the way for a new generation of atomic-scale, ultra-efficient electronics.RELATED: Atomic-scale manufacturing sets forth electronics revolution akin to arrival of printing press RELATED: Atomic discovery opens door to greener, faster, smaller electronic circuitry
“Atoms are a bit like chairs that electrons sit on,” said Robert Wolkow, physics professor and principal investigator on the project. “Much as w...