The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Abstract: In today’s technological landscape, embedded and IoT devices face escalating demands for performance and power efficiency in inference tasks employing Convolution Neural Networks (CNNs).

Abstract: A mixed-precision analog compute-in-memory (Mix-ACIM) is presented for mixed-precision vector-matrix multiplication (VMM). The design features an all-analog current-domain fixed-point (FxP) ...