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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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 20 de julio de 2026 |
| ISBN13 | 9781032774299 |
| Editores | Taylor & Francis Ltd |
| Páginas | 254 |
| Dimensiones | 150 × 220 × 10 mm · 376 g |
| 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 |
