About the book
Unlock the next generation of AI chip design with this comprehensive guide to overcoming VLSI challenges, combining state-of-the-art nanomaterials, semiconductor modeling, and low-power circuit design into an essential roadmap for researchers and engineers.
Very large-scale integration (VLSI) is the interdisciplinary science of utilizing advanced semiconductor technology to create various functions of a computer system. By combining VLSI technology, a very powerful computer architecture is possible to overcome the problems at different design stages. AI techniques such as knowledge-based and expert systems first define the problem and then choose the best solution from a range of possible approaches.
This book comprehensively covers nanomaterials, semiconductor devices, and modeling and simulation techniques used to address the challenges of low-power VLSI chip design. It explores process variability, device sizing, power supply scaling, conventional and emerging materials, leakage mitigation techniques, and critical design tradeoffs. The book presents state-of-the-art research in nanomaterials and semiconductor technologies alongside practical design considerations for low-power VLSI circuits, making it an essential resource for scientists, researchers, and postgraduate students interested in AI hardware, semiconductor devices, modeling, and simulation.
Editions of VLSI Design for Artificial Intelligence and Machine Learning Applications
- Hardcover
- ISBN 9781394390243
- EBook
- ISBN 9781394390274
- EBook
- ISBN 9781394390267
- EBook
- ISBN 9781394390250
Read an Excerpt
Unlock the next generation of AI chip design with this comprehensive guide to overcoming VLSI challenges, combining state-of-the-art nanomaterials, semiconductor modeling, and low-power circuit design into an essential roadmap for researchers and engineers.
Very large-scale integration (VLSI) is the interdisciplinary science of utilizing advanced semiconductor technology to create various functions of a computer system. By combining VLSI technology, a very powerful computer architecture is possible to overcome the problems at different design stages. AI techniques such as knowledge-based and expert systems first define the problem and then choose the best solution from a range of possible approaches.
This book comprehensively covers nanomaterials, semiconductor devices, and modeling and simulation techniques used to address the challenges of low-power VLSI chip design. It explores process variability, device sizing, power supply scaling, conventional and emerging materials, leakage mitigation techniques, and critical design tradeoffs. The book presents state-of-the-art research in nanomaterials and semiconductor technologies alongside practical design considerations for low-power VLSI circuits, making it an essential resource for scientists, researchers, and postgraduate students interested in AI hardware, semiconductor devices, modeling, and simulation.
Frequently Asked Questions
What is VLSI Design for Artificial Intelligence and Machine Learning Applications about?
Unlock the next generation of AI chip design with this comprehensive guide to overcoming VLSI challenges, combining state-of-the-art nanomaterials, semiconductor modeling, and low-power circuit design into an essential roadmap for researchers and engineers.
Very large-scale integration (VLSI) is the interdisciplinary science of utilizing advanced semiconductor technology to create various functions of a computer system. By combining VLSI technology, a very powerful computer architecture is possible to overcome the problems at different design stages. AI techniques such as knowledge-based and expert systems first define the problem and then choose the best solution from a range of possible approaches.
This book comprehensively covers nanomaterials, semiconductor devices, and modeling and simulation techniques used to address the challenges of low-power VLSI chip design. It explores process variability, device sizing, power supply scaling, conventional and emerging materials, leakage mitigation techniques, and critical design tradeoffs. The book presents state-of-the-art research in nanomaterials and semiconductor technologies alongside practical design considerations for low-power VLSI circuits, making it an essential resource for scientists, researchers, and postgraduate students interested in AI hardware, semiconductor devices, modeling, and simulation.
What core themes, tropes, or subjects are explored in VLSI Design for Artificial Intelligence and Machine Learning Applications?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Electronics engineering > Electronics: circuits and components
Where can I read a sample of VLSI Design for Artificial Intelligence and Machine Learning Applications?
You can read an official preview of the few pages here https://www.book2look.com/book/9781394390243
Who is/are the Author/s of the book VLSI Design for Artificial Intelligence and Machine Learning Applications?
John Wiley & Sons
Who is the Publisher of the book VLSI Design for Artificial Intelligence and Machine Learning Applications?
Wiley
What are the ISBN numbers for the physical and digital editions?
VLSI Design for Artificial Intelligence and Machine Learning Applications is available as hardcover(ISBN 9781394390243) and ebook(ISBN 9781394390274) and ebook(ISBN 9781394390267) and ebook(ISBN 9781394390250)
Where can I buy VLSI Design for Artificial Intelligence and Machine Learning Applications online or support local independent bookshops?
You can buy VLSI Design for Artificial Intelligence and Machine Learning Applications from below
Where can I buy VLSI Design for Artificial Intelligence and Machine Learning Applications?