A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application

ISCAS 2019
Pages: 1 - 4
Published: May 26, 2019
Abstract
Energy-efficient machine-learning and physical unclonable function (PUF) becomes popular in Internet-of-Things (IoT) applications for saliency detection and privacy protection at sensor node. A machine-learning and PUF engine for IoT applications is presented in this work with a current mirror cross-bar (CMCB) array being a shared core, reducing silicon area. A novel dimension expansion technique is proposed to increase weight matrix dimension...
Paper Details
Title
A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application
Published Date
May 26, 2019
Journal
Pages
1 - 4
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.