Vlsi For Embedded Intelligence

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Vlsi For Embedded Intelligence

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Author : Anu Gupta
language : en
Publisher: Springer
Release Date : 2024-09-04

Vlsi For Embedded Intelligence written by Anu Gupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Computers categories.

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.

An Artificial Intelligence Approach To Vlsi Design

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Author : Thaddeus J. Kowalski
language : en
Publisher: Springer International Series in Engineering and Computer Science
Release Date : 1985-05-31

An Artificial Intelligence Approach To Vlsi Design written by Thaddeus J. Kowalski and has been published by Springer International Series in Engineering and Computer Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-05-31 with Computers categories.

Artificial Intelligence Applications And Reconfigurable Architectures

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Author : Anuradha D. Thakare
language : en
Publisher: John Wiley & Sons
Release Date : 2023-03-21

Artificial Intelligence Applications And Reconfigurable Architectures written by Anuradha D. Thakare and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.

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.

Artificial Intelligence Driven Circuits And Systems

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Author : Biswajit Mishra
language : en
Publisher: Springer Nature
Release Date : 2021-12-14

Artificial Intelligence Driven Circuits And Systems written by Biswajit Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Computers categories.

This book highlights selected papers presented at the 10th International Symposium on Embedded Computing and System Design (ISED) 2021. This symposium provides a platform for researchers to share the latest scientific achievements of embedded computing and system design. The book is divided into three broad sections. The first section discusses topics like VLSI and testing, circuits and systems with a focus on emerging technologies. The second section discusses topics like embedded hardware and software systems and novel applications. The final section discusses the state-of-the-art technologies involving IoT, artificial intelligence, green and edge computing that demonstrates the issues currently.

Explainable Artificial Intelligence For Better Design Of Very Large Scale Integrated Circuits

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Author : Wei Zeng
language : en
Publisher:
Release Date : 2021

Explainable Artificial Intelligence For Better Design Of Very Large Scale Integrated Circuits written by Wei Zeng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

With the advance of Very Large Scale Integration (VLSI) technology, the design process of VLSI circuits becomes more complex, challenging, and time-consuming. Recent years have seen a rising trend of machine learning (ML) incorporated in VLSI design flow for better and more efficient design and implementation of integrated circuits. Explainable Artificial Intelligence (XAI) is an emerging technique that aims to perform prediction tasks while providing explanations for the predictions. XAI adds transparency and trustworthiness to ML models, leading to better human understanding and exploitation of the models. With ML being applied in VLSI design, it is desirable to adopt ideas from XAI for even better and more trustworthy outcomes of VLSI design. This dissertation explores the usage of Shapley Additive Explanation (SHAP)--a recent development in XAI, on different aspects and stages of VLSI design flow. Specifically, we propose three techniques that adopt SHAP in front-end and back-end design flows, including (a) SHAP-guided layout obfuscation for enhanced hardware security in split manufacturing, (b) explainable routability prediction, which accelerates the physical design flow and provides hints for improving the design, and (c) explainable-ML-guided approximate logic synthesis for area-efficient computing in error-tolerant applications. These are the first works that incorporate XAI into VLSI design methodology. All of them achieve better results than their conventional counterparts or existing works in similar settings.

Intelligent Computing And Vlsi

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Author :
language : en
Publisher: Allied Publishers
Release Date : 2001

Intelligent Computing And Vlsi written by and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer systems categories.

Innovations In Signal Processing And Embedded Systems

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Author : Jyotsna Kumar Mandal
language : en
Publisher: Springer Nature
Release Date : 2022-09-13

Innovations In Signal Processing And Embedded Systems written by Jyotsna Kumar Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Technology & Engineering categories.

This book covers four sections such as artificial intelligence and machine learning; VLSI and signal processing; robotics and automation; and communications and networking. This book is a collection of selected papers presented at the First International Conference on Innovations in Signal Processing and Embedded Systems (ICISPES 2021), organized by MLR Institute of Technology, Hyderabad, India, during October 22–23, 2021. The topics covered are advanced communication technologies, IoT-based systems and applications, application AI in computer vision, natural language processing, reinforcement learning, ANN and deep neural networks, RNN, GAN, CNN and RBM, SOC, NOC design, VLSI and CAD/CAM, cross-layer design, fault tolerance and computation theories, FPGA in outer space, nanotechnology, semiconductor technology, signal and image processing, high-performance computing, pattern recognition and computer vision innovations in robotics, reconfigurable robots, and MEMS/NEMS.

Vlsi For Artificial Intelligence And Neural Networks

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Author : Jose G. Delgado-Frias
language : en
Publisher: Springer
Release Date : 2012-11-12

Vlsi For Artificial Intelligence And Neural Networks written by Jose G. Delgado-Frias and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Computers categories.

This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990. Our thanks go to all the contributors and especially to the programme committee for all their hard work. Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society, and the lEE for publicizing the event and to the University of Oxford and SUNY-Binghamton for their active support. We are particularly grateful to Anna Morris, Maureen Doherty and Laura Duffy for coping with the administrative problems. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial intelligence and neural network algorithms/computing have increased in complexity as well as in the number of applications. This in tum has posed a tremendous need for a larger computational power than can be provided by conventional scalar processors which are oriented towards numeric and data manipulations. Due to the artificial intelligence requirements (symbolic manipulation, knowledge representation, non-deterministic computations and dynamic resource allocation) and neural network computing approach (non-programming and learning), a different set of constraints and demands are imposed on the computer architectures for these applications.

Vlsi For Neural Networks And Artificial Intelligence

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Author : Jose G. Delgado-Frias
language : en
Publisher:
Release Date : 2014-01-15

Vlsi For Neural Networks And Artificial Intelligence written by Jose G. Delgado-Frias and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.

Integrated Devices For Artificial Intelligence And Vlsi

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Author : Balwinder Raj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-04

Integrated Devices For Artificial Intelligence And Vlsi written by Balwinder Raj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Technology & Engineering categories.

With its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design. Very large-scale integration (VLSI) is the inter-disciplinary science of utilizing advanced semiconductor technology to create various functions of computer system. This book addresses the close link of microelectronics and artificial intelligence (AI). By combining VLSI technology, a very powerful computer architecture confinement is possible. To overcome problems at different design stages, researchers introduced artificial intelligent (AI) techniques in VLSI design automation. AI techniques, such as knowledge-based and expert systems, first try to define the problem and then choose the best solution from the domain of possible solutions. These days, several CAD technologies, such as Synopsys and Mentor Graphics, are specifically created to increase the automation of VLSI design. When a task is completed using the appropriate tool, each stage of the task design produces outcomes that are more productive than typical. However, combining all of these tools into a single package offer has drawbacks. We can’t really use every outlook without sacrificing the efficiency and usefulness of our output. The researchers decided to include AI approaches into VLSI design automation in order to get around these obstacles. AI is one of the fastest growing tools in the world of technology and innovation that helps to make computers more reliable and easy to use. Artificial Intelligence in VLSI design has provided high-end and more feasible solutions to the difficulties faced by the VLSI industry. Physical design, RTL design, STA, etc. are some of the most in-demand courses to enter the VLSI industry. These courses help develop a better understanding of the many tools like Synopsis. With each new dawn, artificial intelligence in VLSI design is continually evolving, and new opportunities are being investigated.