Name: Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) (en Inglés)
SKU: 64177928
Price: 142.08 USD
Availability: InStock
Author: Tripathi Abhishek Narayan,Padhy Jagana Bihari,Singh Indrasen
ISBN: 9781032774282

portada Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) (en Inglés)

Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Tripathi Abhishek Narayan,Padhy Jagana Bihari,Singh Indrasen

Idioma

Inglés

N° páginas

266

Encuadernación

Tapa Dura

ISBN13

9781032774282

N° edición

Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) (en Inglés)

Tripathi Abhishek Narayan,Padhy Jagana Bihari,Singh Indrasen (Autor) · Crc Press · Tapa Dura

Libro Nuevo Importado

Envío: 22 a 29 días háb.

$ 258.32$ 142.08

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 24 unidades

$ 142.08

Llega entre el 30 Sep y el 14 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Advancing Vlsi Through Machine Learning (Materials, Devices, and Circuits) (en Inglés)"

This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.