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Sandia National Laboratories researchers Brad Theilman and Brad Aimone created an algorithm enabling neuromorphic hardware to solve partial differential equations. The advance, published in Nature Machine Intelligence, demonstrates brain-inspired machines can handle mathematically rigorous problems efficiently, opening a path toward the first neuromorphic supercomputer for energy-efficient computing.
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