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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 30. marts |
| ISBN13 | 9781032774282 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 254 |
| Izmēri | 150 × 220 × 20 mm · 560 g |
| Valoda | Angļu |
| Redaktors | Padhy, Jagana Bihari |
| Redaktors | Singh, Ghanshyam |
| Redaktors | Singh, Indrasen (Vellore Institute of Technology, India) |
| Redaktors | Tayal, Shubham (University of Petroleum and Energy Studies, India) |
| Redaktors | Tripathi, Abhishek Narayan |
