Oscillatory Neural Networks

From Devices to Computing Architectures
Erscheinungsjahr 2027
ISBN: 978-3-032-38574-1
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

This book covers oscillatory computing devices (a.k.a. Oscillatory Neural Networks, ONNs), a type of analog device architecture at the forefront of research for neuromorphic (edge-AI) applications that promises to boost the energy efficiency of neuromorphic computing pipelines by orders of magnitude. The authors provide a comprehensive overview of this multidisciplinary field, covering device physics, circuit design, and computing architectures, as well as the mathematical principles of oscillator synchronization. The chapters are written in a manner that allows non-experts to explore and appreciate the connections between different facets of the subject. This book serves as a resource for a diverse audience, catering to physicists and nanotechnology researchers involved in developing novel oscillator devices. It is also pertinent to the circuit design community, offering fresh perspectives on sensory processing and edge-AI processing. Finally, it serves as an asset for the rapidlyexpanding machine learning/AI community, providing insights into leveraging the processing capabilities of Oscillatory Neural Network (ONN) hardware.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Todri-Sanial, Aida

Csaba, Gyorgy

Fachgebiete

• Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Fundamentals of oscillator based computing.- Devices for oscillators and oscillator interconnections.- 

Circuits and computing models for oscillators.

Über Autor(innen)

Aida Todri-Sanial received the B.S. degree in electrical engineering from Bradley University, IL in 2001, M.S. degree in electrical engineering from Long Beach State University, CA, in 2003 and a Ph.D. degree in electrical and computer engineering from the University of California, Santa Barbara, in 2009. She is currently a Full Professor in Electrical Engineering Department at Eindhoven University of Technology, Netherlands and Director of Research for the French National Council of Scientific Research (CNRS). Dr. Todri-Sanial was a visiting fellow at the Cambridge Graphene Center and Wolfson College at the University of Cambridge, UK during 2016-2017. Previously, she was an R&D Engineer for Fermi National Accelerator Laboratory, IL. She has also held visiting research positions at Mentor Graphics, Cadence Design Systems, STMicroelectronics and IBM TJ Watson Research Center. Her research interests focus on emerging technologies and novel computing paradigms such as neuromorphic andquantum computing.

She has co-authored more than 100 publications on high-impact journals and conferences. Dr. Todri-Sanial was a recipient of John Bardeen Fellow in Engineering in 2009, CNRS Prime d’Excellence Scientifique in 2012, ACM Distinguished Speakers 2016-2018, CNRS Bronze Medal in 2016, and ACM SIGDA Meritorious Service Award in 2020, and Distinguished Lecturer for IEEE Nanotechnology Council 2022-2023. She serves as Technical Program Committee member for IEDM, DAC, DATE, ISVLSI, NEWCAS, GLSVLSI, ISQED, and EDSSC. She is Associated Editor for IEEE Transactions on VLSI, Journal of Microelectronics Reliability and Microelectronics Journal.

Gyorgy Csaba is a professor at the Pazmany University in Budapest, Hungary. He received his M. S. degree at the Technical University of Budapest and the PhD degree at the University of Notre Dame, USA. He held a research assistant position at the Technical University of Munich, Germany and was a Research Professor at the University of Notre Dame for six years, before returning to Budapest. His research interests lie in nanoelectronics and unconventional computing, especially spin-based computing devices and oscillator-based computing devices. He is one of the inventors of Nanomagnetic Logic, and author of highly cited publications on physical cryptography, magnonic computing and oscillator-based computing.