Librería: Majestic Books, Hounslow, Reino Unido
EUR 219,05
Cantidad disponible: 3 disponibles
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 249,23
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Añadir al carritoCondición: New.
EUR 202,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Abhishek Kumar is working as an associate professor in the School of Electronics and Electrical Engineering at Lovely Professional University, Punjab, India. With over eleven years of experience in academia, he has made significant contributions to resea.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 246,81
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Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041170971 ISBN 13: 9781041170976
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 256,13
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning.Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems.Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence.Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design.Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design.Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering. The book showcases how artificial intelligence and machine learning technologies are integrated into low-power VLSI design, such as a probabilistic power reduction technique with artificial intelligence for low power. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041170971 ISBN 13: 9781041170976
Librería: CitiRetail, Stevenage, Reino Unido
EUR 251,44
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning.Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems.Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence.Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design.Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design.Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering. The book showcases how artificial intelligence and machine learning technologies are integrated into low-power VLSI design, such as a probabilistic power reduction technique with artificial intelligence for low power. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.