In-Memory Computing SoC with Multi-level RRAM to Accelerate AI Inference

LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
https://acm-org.zoom.us/
Join via YouTube:
https://youtube.com/live/
AGENDA

6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&A

Join SF Bay ACM Chapter for an insightful discussion on:

Abstract
TetraMem will introduce its multi-level RRAM cell for in-memory computing. The talk will explain how TetraMem uses 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.

Bio
Wenbo Yin is the SVP of IC Design at TetraMem. He joined the company in 2019 and currently leads the chip design efforts at TetraMem including mixed-signal circuit design and NPU architecture.
https://tetramem.ai/
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As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/