| 书目名称 | NANO-CHIPS 2030 | | 副标题 | On-Chip AI for an Ef | | 编辑 | Boris Murmann,Bernd Hoefflinger | | 视频video | | | 概述 | 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 ge | | 丛书名称 | The Frontiers Collection | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2020 | | 关键词 | Nano-Electronics; Artificial Intelligence; CMOS Chips; Energy Efficiency; 3D Integration; Acquisition of | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-18338-7 | | isbn_softcover | 978-3-030-18340-0 | | isbn_ebook | 978-3-030-18338-7Series ISSN 1612-3018 Series E-ISSN 2197-6619 | | issn_series | 1612-3018 | | copyright | Springer Nature Switzerland AG 2020 |
The information of publication is updating
|
|
发表于 2025-3-21 19:49:36
