<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luo, Jin</style></author><author><style face="normal" font="default" size="100%">Xu, Weikai</style></author><author><style face="normal" font="default" size="100%">Fu, Boyi</style></author><author><style face="normal" font="default" size="100%">Yu, Zheru</style></author><author><style face="normal" font="default" size="100%">Yang, Mengxuan</style></author><author><style face="normal" font="default" size="100%">Li, Yiqing</style></author><author><style face="normal" font="default" size="100%">Huang, Qianqian</style></author><author><style face="normal" font="default" size="100%">Ru HUANG</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Novel Ambipolar Ferroelectric Tunnel FinFET based Content Addressable Memory with Ultra-low Hardware Cost and High Energy Efficiency for Machine Learning</style></title><secondary-title><style face="normal" font="default" size="100%">2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">226-227</style></pages><isbn><style face="normal" font="default" size="100%">1665497726</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>