A month. That is roughly how long Viktor Lilja used to wait just to teach a computer enough about light to be useful. Not the calculation itself, mind you, but the grind before it: generating the training data, one painstaking point at a time, each one taking anywhere from ten minutes to a full hour to compute. Up to 40,000 of them for a single network. And then, sometimes, you would realise you needed more. So you started again. “It might take …
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Researchers at Chalmers University of Technology have developed a machine learning system that is capable of designing modern optical materials ten times faster than traditional methods.