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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2026. gada 19. jūlijs |
| ISBN13 | 9781032774299 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 254 |
| Izmēri | 150 × 220 × 10 mm · 490 g |
| 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 |
