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ISSCC 2022Session 15 · ML PROCESSORSDigital Processors

Analog Matrix Processor for Edge AI Real-Time Video Analytics

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出一种模拟矩阵处理器,用于边缘AI实时视频分析,解决了边缘设备上高效、低功耗部署机器学习模型的问题。通过模拟计算实现高吞吐量矩阵运算,支持实时视频推理。

💡 主要创新点

重要性
发表年份
ISSCC 2022

🏷 关键词

模拟矩阵处理器边缘AI实时视频分析低功耗推理

📄 原文摘要

Mythic, Austin, TX Mythic, Redwood City, CA 1 2 One of the!salient!hurdles for wide adoption of!machine learning!(ML)!has been!efficient and high-performance!edge compute.!ML developers!use very large, expensive, and power-intensive!systems!to!create!new!models, but the final!implementation!needs to be deployed in a cost-effective, small, and low-power solution. This has!commonly led to situations where the models that can be deployed in an edge environment are significantly smaller than!state-of-the-art models leading the benchmark scoreboards

👥 作者与机构

Laura Fick1, Skylar Skrzyniarz1, Malav Parikh1, Michael B. Henry2, David Fick1

分类:Digital Processors · 年份:ISSCC 2022