Revolutionize AI Computing with Analog In-Memory Processing

Описание к видео Revolutionize AI Computing with Analog In-Memory Processing

by: Wenbo Yin, VP of IC Design, TetraMem

TetraMem will introduce its proprietary multi-level RRAM cell for in-memory computing. The talk will explain how TetraMem uses 8-bit Multi-level RRAM to accelerate neural network inference applications. The speaker will demonstrate how TetraMem leverages its unique technology and expertise to increase precision, accuracy and energy efficiency of AI applications, including our methods to improve cell performance as recently published in Nature and Science. The talk will elaborate on how Andes’s RISC-V CPU is enabling TetraMem to accelerate time-to-market and scale to a wide range of meaningful customer applications.

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