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Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits
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Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
304 pages, 27 Tables, black and white; 124 Line drawings, black and white; 17 Halftones, black and w
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 30, 2025 |
| ISBN13 | 9781032774282 |
| Publishers | Taylor & Francis Ltd |
| Pages | 254 |
| Dimensions | 150 × 220 × 20 mm · 560 g |
| Language | English |
| Editor | Padhy, Jagana Bihari |
| Editor | Singh, Ghanshyam |
| Editor | Singh, Indrasen (Vellore Institute of Technology, India) |
| Editor | Tayal, Shubham (University of Petroleum and Energy Studies, India) |
| Editor | Tripathi, Abhishek Narayan |
