株式会社極東書店トップ ＞ 商品一覧 ＞ Advancing VLSI through Machine Learning: Innovations and Research Perspectives.
商品詳細
Advancing VLSI through Machine Learning: Innovations and Research Perspectives.
・ISBN 978-1-032-77429-9 paper GB£ 55.99
￥17,737.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Tripathi, Abhishek Narayan / Padhy, Jagana Bihari / Singh, Indrasen / Tayal, Shubham / Singh, Ghanshyam (eds.), |
|---|---|
| シリーズ | (Materials, Devices, and Circuits) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 254 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-78280＞ |
解説
This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.
This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.