MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at energy-efficient analog computing beyond traditional chips.
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...
The Sunway TaihuLight supercomputer represents a pinnacle in many-core processor design and architectural innovation. At its core is the custom-built SW26010 processor, which integrates management ...
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