Digital ‘super-brain’ with a physics education speeds up technology development
Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer simulations, and every new data point can take anywhere from ten minutes to an hour to produce. That bottleneck has made one thing clear. Smarter machine learning is useful only if it can learn faster, too. At Chalmers University of Technology in Sweden, researchers say they found a way to do that by giving a neural network something like a physics education before training begins. Instead of forcing the system to discover the laws of electromagnetism on its own from vast amounts of data, they built those laws directly into the model. The payoff was immediate. “When we fed the super-brain information about the laws of physics, it immediately got much smarter. Our calculations now take one tenth of the time previously required,” said Philippe Tassin, professor in the Department of Physics and Astronomy at Chalmers. That cut a month-long training-data effort down to about three days, according to the team. Philippe Tassin, professor, …
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