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Advancing Vlsi Through Machine Learning

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Advancing Vlsi Through Machine Learning

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Author : Abhishek Narayan Tripathi
language : en
Publisher: CRC Press
Release Date : 2025-02-11

Advancing Vlsi Through Machine Learning written by Abhishek Narayan Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.

This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.

Advancing Vlsi Through Machine Learning

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Author : Abhishek Narayan Tripathi
language : en
Publisher: CRC Press
Release Date : 2025-03-31

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.

Machine Learning In Vlsi Computer Aided Design

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Author : Ibrahim (Abe) M. Elfadel
language : en
Publisher: Springer
Release Date : 2019-03-16

Machine Learning In Vlsi Computer Aided Design written by Ibrahim (Abe) M. Elfadel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Technology & Engineering categories.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Applied Artificial Intelligence And Machine Learning Techniques For Engineering Applications

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Author : Ravichander Janapati
language : en
Publisher: CRC Press
Release Date : 2025-08-19

Applied Artificial Intelligence And Machine Learning Techniques For Engineering Applications written by Ravichander Janapati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Computers categories.

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science. Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body. The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2

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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-10-19

Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Computers categories.

This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Proceedings Of International Conference On Advanced Communications And Machine Intelligence

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Author : Sheng-Lung Peng
language : en
Publisher: Springer Nature
Release Date : 2024-12-05

Proceedings Of International Conference On Advanced Communications And Machine Intelligence written by Sheng-Lung Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.

This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2023), hosted by National Institute of Technology Warangal, Telangana, India, during 30–31 October 2023. The book includes all areas of advanced communications and machine intelligence. The book is useful for academicians, scientists, researchers from industry, research scholars, and students working in these areas.

Algorithms In Advanced Artificial Intelligence

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Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2025-05-23

Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.

Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.

Advanced Circuits And Systems For Healthcare And Security Applications

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Author : Balwinder Raj
language : en
Publisher: CRC Press
Release Date : 2022-09-08

Advanced Circuits And Systems For Healthcare And Security Applications written by Balwinder Raj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-08 with Computers categories.

VLSI devices downscaling is a very significant part of the design to improve the performance of VLSI industry outcomes, which results in high speed and low power of operation of integrated devices. The increasing use of VLSI circuits dealing with highly sensitive information, such as healthcare information, means adequate security measures are required to be taken for the secure storage and transmission. Advanced Circuits and Systems for Healthcare and Security Applications provides broader coverage of the basic aspects of advanced circuits and security and introduces the corresponding principles. By the end of this book, you will be familiarized with the theoretical frameworks, technical methodologies, and empirical research findings in the field to protect your computers and information from adversaries. Advanced circuits and the comprehensive material of this book will keep you interested and involved throughout. The book is an integrated source which aims at understanding the basic concepts associated with the security of the advanced circuits and the cyber world as a first step towards achieving high-end protection from adversaries and hackers. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges and recent real-time applications of the advanced circuits and cybersecurity. It illustrates the notions, models, and terminologies that are widely used in the area of circuits and security, identifies the existing security issues in the field, and evaluates the underlying factors that influence the security of the systems. It emphasizes the idea of understanding the motivation of the attackers to establish adequate security measures and to mitigate security attacks in a better way. This book also outlines the exciting areas of future research where the already-existing methodologies can be implemented. Moreover, this book is suitable for students, researchers, and professionals in the who are looking forward to carry out research in the field of advanced circuits and systems for healthcare and security applications; faculty members across universities; and software developers.

Agentic Ai Powered Computational Lithography Advancing Mask Optimization Strategies For Next Generation Transistor Scaling

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Author : Botlagunta Preethish Nanan
language : en
Publisher: Caneda Global Journal Group
Release Date :

Agentic Ai Powered Computational Lithography Advancing Mask Optimization Strategies For Next Generation Transistor Scaling written by Botlagunta Preethish Nanan and has been published by Caneda Global Journal Group this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Advanced Production And Industrial Engineering

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Author : R.M. Singari
language : en
Publisher: IOS Press
Release Date : 2022-11-23

Advanced Production And Industrial Engineering written by R.M. Singari and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Technology & Engineering categories.

Things change rapidly in the field of engineering, and awareness of innovation in production techniques is essential for those working in the field if they are to utilise the best and most appropriate solutions available. This book presents the proceedings of ICAPIE-22, the 7th International Conference on Advanced Production and Industrial Engineering, held on 11 and 12 June 2022 in Delhi, India. The aim of the conference was to explore new windows for discoveries in design, materials and manufacturing, which have an important role in all fields of scientific growth, and to provide an arena for the showcasing of advancements and research endeavours from around the world. The 102 peer-reviewed and revised papers in this book include a large number of technical papers with rich content, describing ground-breaking research from various institutes. Covering a wide range of topics and promoting the contribution of production and industrial engineering and technology for a sustainable future, the book will be of interest to all those working in production and industrial engineering.

Advancing Vlsi Through Machine Learning

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