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Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
Abstract: Phase change memory (PCM) is a scalable, reliable, and robust technology for embedded and stand-alone memory device. PCM has also been extensively demonstrated for analog in-memory computing ...
Abstract: Many demanding applications of signal processing and neural networks require scalable, precise and energy efficient matrix-vector multipliers. Translinear MOS circuits, which use ...
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SODA, Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time Full version on arXiv with Yeshwanth Cherapanamjeri, Sandeep Silwal, and Samson Zhou SODA, The $\ell_p$-Subspace ...
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