Téléchargez le livre : Machine Learning Techniques for VLSI Chip Design

Machine Learning Techniques for VLSI Chip Design

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Wiley-Scrivener


Paru le : 2023-06-16

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Description
MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN
This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design.
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 arise when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, and 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.
Pages
240 pages
Collection
n.c
Parution
2023-06-16
Marque
Wiley-Scrivener
EAN papier
9781119910398
EAN PDF
9781119910480
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
39547 Ko
Prix
197,50 €
EAN EPUB
9781119910473
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
4301 Ko
Prix
197,50 €

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