Vlsi For Embedded Intelligence
Download Vlsi For Embedded Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Vlsi For Embedded Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
VLSI for Embedded Intelligence
This book constitutes the proceedings of the 27th International Symposium on VLSI Design and Test, VDAT 2023. The 32 regular papers and 16 short papers presented in this book are carefully reviewed and selected from 220 submissions. They are organized in topical sections as follows: Low-Power Integrated Circuits and Devices; FPGA-Based Design and Embedded Systems; Memory, Computing, and Processor Design; CAD for VLSI; Emerging Integrated Circuits and Systems; VLSI Testing and Security; and System-Level Design.
Advances in Image and Data Processing Using VLSI Design
VLSI is a well-established field of research that ignited the modern computing revolution. Serving as a guide to future developments, this book provides a framework for design, modeling concepts, and application of Image Processing based systems using VLSI design techniques.
Artificial Intelligence Applications and Reconfigurable Architectures
Author: Anuradha D. Thakare
language: en
Publisher: John Wiley & Sons
Release Date: 2023-03-14
ARTIFICIAL INTELLIGENCE APPLICATIONS and RECONFIGURABLE ARCHITECTURES The primary goal of this book is to present the design, implementation, and performance issues of AI applications and the suitability of the FPGA platform. This book covers the features of modern Field Programmable Gate Arrays (FPGA) devices, design techniques, and successful implementations pertaining to AI applications. It describes various hardware options available for AI applications, key advantages of FPGAs, and contemporary FPGA ICs with software support. The focus is on exploiting parallelism offered by FPGA to meet heavy computation requirements of AI as complete hardware implementation or customized hardware accelerators. This is a comprehensive textbook on the subject covering a broad array of topics like technological platforms for the implementation of AI, capabilities of FPGA, suppliers’ software tools and hardware boards, and discussion of implementations done by researchers to encourage the AI community to use and experiment with FPGA. Readers will benefit from reading this book because It serves all levels of students and researcher’s as it deals with the basics and minute details of Ecosystem Development Requirements for Intelligent applications with reconfigurable architectures whereas current competitors’ books are more suitable for understanding only reconfigurable architectures. It focuses on all aspects of machine learning accelerators for the design and development of intelligent applications and not on a single perspective such as only on reconfigurable architectures for IoT applications. It is the best solution for researchers to understand how to design and develop various AI, deep learning, and machine learning applications on the FPGA platform. It is the best solution for all types of learners to get complete knowledge of why reconfigurable architectures are important for implementing AI-ML applications with heavy computations. Audience Researchers, industrial experts, scientists, and postgraduate students who are working in the fields of computer engineering, electronics, and electrical engineering, especially those specializing in VLSI and embedded systems, FPGA, artificial intelligence, Internet of Things, and related multidisciplinary projects.