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The Frontiers Collection

NANO-CHIPS 2030

On-Chip AI for an Efficient Data-Driven World

Editors: Murmann, Boris, Hoefflinger, Bernd (Eds.)

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  • Presents key elements of a new epoch in nanoelectronics that follows the end of the Nanometer Roadmap
  • A timely compendium that will inspire and shape the future of nanoelectronics
  • Explores the next generation of intelligent and energy-efficient chip-systems related to health and information technology
  • Broadens perspectives of the existing chip-savvy audience while appealing to new readers in system design 
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  • ISBN 978-3-030-18338-7
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About this book

In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come. 

About the authors

Bernd Hoefflinger became an Assistant Professor at Cornell University, Ithaca, NY, USA, after completing his Ph.D. at the Technical University of Munich, Germany. He was a co-founder of the MOS Division of Siemens in Munich, and founded the Electrical Engineering Department of the University of Dortmund, Germany, which houses the first Ion-Implanted BiCMOS production line. After serving as Head of the Electrical Engineering Departments at the University of Minnesota and then at Purdue University in Indiana, he established the Institute of Microelectronics Stuttgart, Germany, as the first ISO 9000-certified research and manufacturing facility – a leader in ASICs, HDR vision, and e-beam-driven nanotechnology.

Boris Murmann received his Ph.D. degree from the University of California, Berkeley, in 2003, and serves as a Professor of Electrical Engineering at Stanford University. His research interests are in mixed-signal integrated circuit design, with a focus on sensor interfaces, data converters, and custom circuits for embedded machine learning. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, an AdCom member and a Distinguished Lecturer of the IEEE Solid-State Circuits Society, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is a Fellow of the IEEE.

Table of contents (30 chapters)

Table of contents (30 chapters)

Buy this book

eBook £63.99
price for United Kingdom (gross)
  • ISBN 978-3-030-18338-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £79.99
price for United Kingdom (gross)
  • ISBN 978-3-030-18337-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
NANO-CHIPS 2030
Book Subtitle
On-Chip AI for an Efficient Data-Driven World
Editors
  • Boris Murmann
  • Bernd Hoefflinger
Series Title
The Frontiers Collection
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-18338-7
DOI
10.1007/978-3-030-18338-7
Hardcover ISBN
978-3-030-18337-0
Series ISSN
1612-3018
Edition Number
1
Number of Pages
XXIII, 592
Number of Illustrations
78 b/w illustrations, 296 illustrations in colour
Topics

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