This book provides a single-source reference to the state-of-the-art in emerging computer systems. The authors address the technological contributions and developments at various hardware levels of new systems that compute under novel operational paradigms such as stochastic, probabilistic/inexact, neuromorphic, spintronic, bio-inspired and in-memory computing. Coverage includes the entire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications. This book provides a single-source reference to the state-of-the-art in emerging computer systems. The authors address the technological contributions and developments at various hardware levels of new systems that compute under novel operational paradigms such as stochastic, probabilistic/inexact, neuromorphic, spintronic, bio-inspired and in-memory computing. Coverage includes the entire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications. Serves as a single-source reference to state-of-the-art of emerging computing paradigms; - Covers the entire system stack, i.e., from circuit, architecture, up to system level; - Includes contributions by leading researchers from academia and industry. Weiqiang Liu is currently a Professor and the Vice Dean of College of Electronic and Information Engineering & College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. He received the B.Sc. degree in Information Engineering from NUAA and the Ph.D. degree in Electronic Engineering from Queen's University Belfast (QUB), Belfast, United Kingdom, in 2006 and 2012, respectively. In Dec. 2013, he joined the College of Electronic and Information Engineering, NUAA, where he is now a full professor. His research interest mainly focuses on energy efficient and secure computing integrated circuits and systems that include approximate computing, computer arithmetic, hardware security, VLSI design for DSP and cryptography, and mixed-signal integrated circuits. His research has been funded by Natural Science Foundation China (NSFC), State Grid Corporation of China, et al. He has published 2 research books by Springerand Artech House, over 200 leading journal and conference papers (over 80 IEEE and ACM journals including 8 invited papers such as Proceedings of the IEEE). His papers were selected as the Highlight Paper of IEEE TCAS-I in the 2021 January Issue, the two Feature Papers of IEEE CASM in the 2021 4th issue and IEEE TC in the 2017 December issue, IET CDT Editor's Choice Award in 2021, Best Paper Candidates of ISCAS 2011, GLSVLSI 2015 and GLSVLSI 2022. He received the prestigious Excellent Young Scientists Fund from NSFC in 2020 and the Young Scientist Award by Fok Ying Tung Education Foundation, Ministry of Education, China, 2022. He has been listed in the Stanford University's list of the top 2% scientists in the world. He is the Vice President-Elect for TA of the IEEE Nanotechnology Council (NTC). He has served as a Steering Committee Chair of IEEE Transactions on VLSI Systems, Associate Editors of IEEE Transactions on Circuits and Systems I: Regular Paper, IEEE Transactions on Emerging Topic in Computing and Computers, IEEE Transactions on Computers, IEEE Open Journal of Computer Society and IET Computers & Digital Techniques, a Guest Editor of Proceedings of the IEEE and IEEE Nanotechnology Magazine, the member of IEEE Symposium on Computer Arithmetic (ARITH) Steering Committee Member, 2020 TETC and AsianHOST 2021 Best Paper Award Committee. He is the Program Co-Chair of IEEE ARITH 2020, 17th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2022) and IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2023), and program members for a number of international conferences including DAC, ARITH, DATE, ASP-DAC, ISCAS, ASAP, ISVLSI, ICCD, GLSVLSI, AsianHOST, NANORACH, AICAS, SiPS, NMDC et al. He is a tutorial organizer and speaker in DAC 2022, DATE 2022, IEEE ISCAS 2021 and COINS 2021. He is a member of both Circuits & Systems for Communications (CASCOM) Technical Committee and VLSI Systemsand Applications (VSA) Technical Committee, IEEE Circuits and Systems Society. He is a Senior Member of the IEEE, CIE and CCF. Dr. Jie Han received the B.Sc. degree in electronic engineering from Tsinghua University, Beijing, China, in 1999 and the Ph.D. degree from the Delft University of Technology, The Netherlands, in 2004. He is currently a Professor and Director of Computer Engineering in the Department of Electrical and Computer Engineering at the University of Alberta. His research interests include approximate computing, stochastic computing, brain-inspired learning systems and neural networks, reliabil