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AI-Driven Optimization and Automation of Integrated Circuit Design

Edited by Neha Singh, Edited by Shilpi Birla, Edited by Chetan Arvind Patil

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normal price: R 6 482.95

Price: R 5 834.95


| book description |

AI-Driven Optimization and Automation of Integrated Circuit Design discusses the latest AI-based methods, algorithms, architectures, and frameworks for digital, analog, and mixed-signal VLSI circuit design, verification and testability, physical design and related areas. The book considers the issues with traditional circuit design and explains how machine learning techniques can optimize and automate the process. It goes on to explain how AI-driven design can impact logic synthesis, circuit placement and routing, and behavioral simulation. Final sections include cases studies and a look at future developments for implementations of VLSI design, IC design, and hardware realization using AI tools and techniques. Artificial Intelligence (AI) offers a solution to the bottleneck issues in the design of integrated circuits (IC) by optimizing and automating tasks in the design and fabrication process. As the world focuses on the development of skilled manpower and automation tools for chip design, verification, testing and fabrication, AI can be utilized to optimize and automate various steps in design cycle, saving time, reducing errors, and managing power consumption.

| product details |



Normally shipped | Forthcoming
Publisher | Elsevier - Health Sciences Division
Published date | 1 Oct 2026
Language |
Format | Paperback / softback
Pages | 400
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4434-1652-1
Readership Age |
BISAC | technology / electronics / circuits / integrated
Expected |

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Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Readership Age |
Normal Price | R 7 400.95
Price | R 6 660.95 | on special |



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