Description: Machine Learning Techniques for Vlsi Chip Design, Hardcover by Kumar, Abhishek (EDT); Tripathi, Suman Lata (EDT); Rao, K. Srinivasa (EDT), ISBN 1119910390, ISBN-13 9781119910398, Brand New, Free shipping in the US Artificial intelligence (AI) and machine learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient machine learning (ML), and deep learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production. Finding defects, bugs, and hardware Trojans in the design with ML or DL can save losses during production. Constraints to ML-DL arises when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, implementation of the computational architecture for ML-DL. The future aspect of the ML-DL algorithm is to be available in the format of an integrated circuit (IC). A user can upgrade to the new algorithm by replacing an IC. This new book mainly deals with the adaption of computation blocks like hardware accelerators and novel nano-material for them based upon their application and to create a smart solution. This exciting new volume is an invaluable reference for beginners as well as engineers, scientists, researchers, and other professionals working in the area of VLSI architecture development.
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Book Title: Machine Learning Techniques for Vlsi Chip Design
Number of Pages: 240 Pages
Publication Name: Machine Learning Techniques for Vlsi Chip Design
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2023
Item Height: 0.6 in
Subject: Engineering (General), Hardware / General
Item Weight: 21.1 Oz
Type: Textbook
Author: Suman Lata Tripathi
Item Length: 9 in
Subject Area: Computers, Technology & Engineering
Item Width: 6 in
Format: Hardcover
