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Machine Learning Techniques for VLSI Chip Design (Hardcover)
Loot Price: R4,416
Discovery Miles 44 160
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Machine Learning Techniques for VLSI Chip Design (Hardcover)
Expected to ship within 10 - 15 working days
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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.
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