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020 ▼a 9798351499727
035 ▼a (MiAaPQ)AAI29342243
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 330
1001 ▼a Li, Haitong.
24510 ▼a RRAM-CMOS Integrated Hardware for Efficient Learning and Inference At the Edge.
260 ▼a [S.l.]: ▼b Stanford University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 130 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
500 ▼a Advisor: Mitra, Subhasish;Raina, Priyanka;Wong, H. S. Philip.
5021 ▼a Thesis (Ph.D.)--Stanford University, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0212.
650 4 ▼a Sparsity.
650 4 ▼a Space exploration.
650 4 ▼a Technological change.
650 4 ▼a Neural networks.
650 4 ▼a Energy efficiency.
650 4 ▼a Academic careers.
650 4 ▼a Carbon footprint.
650 4 ▼a 21st century.
650 4 ▼a Transistors.
650 4 ▼a Energy consumption.
650 4 ▼a Energy.
690 ▼a 0800
690 ▼a 0791
71020 ▼a Stanford University.
7730 ▼t Dissertations Abstracts International ▼g 84-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0212
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16619603 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK