VLSI and hardware implementations using modern machine learning methods

VLSI and hardware implementations using modern machine learning methods

"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 mi...

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Detalles Bibliográficos
Otros Autores: Saini, Sandeep, editor (editor), Lata, Kusum (Electronics engineer), editor, Sinha, G. R., 1975- editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL: CRC Press [2022]
Edición:First edition
Materias:
Integrated circuits > Very large scale integration > Design and construction > Data processing.
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720312006719
Tabla de Contenidos:
  • VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha
  • Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey
  • Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.

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