MIT researchers designed silicon structures that can perform computations in an electronic device using excess heat instead of electricity, potentially enabling more energy-efficient devices.

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MIT researchers developed silicon structures that perform computations using excess heat instead of electricity. The method encodes input data as temperatures, uses heat flow through specially designed materials for calculations, and achieved over 99% accuracy in matrix multiplication operations. While scaling challenges remain for deep learning applications, the technique could enable energy-efficient temperature sensing and thermal management in electronics without additional sensors or power consumption.

MIT engineers design structures that compute with heat