An analysis of TinyML@ICCAD for implementing AI on low-power microprocessor  

作　　者：Guoqing LI Jingwei ZHANG Meng ZHANG Tuo LI Tinghuan CHEN Jun YANG 

机构地区：[1]Shandong Yunhai Guochuang Cloud Computing Equipment Industry Innovation Co.,Ltd.,Jinan 250013,China [2]School of Integrated Circuits,Southeast University,Nanjing 210096,China [3]School of Science and Engineering,The Chinese University of Hong Kong,Shenzhen 518172,China [4]Shandong Inspur Artificial Intelligence Research Institute Co.,Ltd.,Jinan 250013,China

出　　处：《Science China(Information Sciences)》2024年第4期339-340,共2页中国科学（信息科学）（英文版）

基　　金：partly supported by Key R&D Program of Guangdong Province(Grant No.2021B1101270006);National Key R&D Program of China(Grant No.2023YFB4402900);Shandong Provincial Natural Science Foundation(Grant Nos.ZR2023QF056,ZR2023QF050);Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.SJCX22_0051);National Natural Science Foundation of China(Grant No.62304197)。

摘　　要：Tiny machine learning(ML)is an important application area of artificial intelligence(AI),which focuses on deploying AI on small hardware platforms with constrained resources[1,2].The high-level TinyML contests at high-level conferences promote the development of TinyML areas,such as DAC-SDC[3]and TinyML@ICCAD[4].

关 键 词：SUCH hardware AI 

分 类 号：TP332[自动化与计算机技术—计算机系统结构] TP18[自动化与计算机技术—计算机科学与技术]