"VLSI and Hardware Implementations Using Modern Machine Learning Methods" - Information and Links:

VLSI and Hardware Implementations Using Modern Machine Learning Methods - Info and Reading Options

"VLSI and Hardware Implementations Using Modern Machine Learning Methods" was published by Taylor & Francis Group in 2022 - Boca Raton, FL, it has 1 pages and the language of the book is English.


“VLSI and Hardware Implementations Using Modern Machine Learning Methods” Metadata:

  • Title: ➤  VLSI and Hardware Implementations Using Modern Machine Learning Methods
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: Taylor & Francis Group
  • Publish Date:
  • Publish Location: Boca Raton, FL

“VLSI and Hardware Implementations Using Modern Machine Learning Methods” Subjects and Themes:

Edition Specifications:

  • Pagination: 336

Edition Identifiers:

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"VLSI and Hardware Implementations Using Modern Machine Learning Methods" Description:

Open Data:

"Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"--

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