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Scientists at Sandia National Laboratories have created an algorithm that allows neuromorphic computers to solve complex equations used in physics and climate models. Once limited to pattern recognition, brain-inspired chips may now compete with traditional supercomputers — but with far greater energy efficiency.
A breakthrough that could reshape scientific computing and deepen our understanding of how the brain processes information.
