Electronic design automation (EDA) is full of large, intricate problems. Figuring out the best way to arrange transistors on a chip, for example, becomes exponentially more complex as the number of transistors increases. Computer scientists have made great strides in developing algorithms that can solve many of these problems, but a team of researchers at the University of Michigan, in Ann Arbor, believes that the industry could benefit from a different resource: human intuition. (source: spectrum.ieee.org)
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