Working in the ever-evolving field of smart chip design within an AI-powered design environment, the authors of this book draw on their experiences in successfully developing system-on-chip (SoC) solutions, having grappled with the emerging design environment, innovative tools, domain-specific challenges, and major design decisions for SOC-based solutions.
This book provides a comprehensive overview of hardware security challenges and solutions, making it an essential resource for engineers, researchers, and students in the field.
This book provides a comprehensive overview of hardware security challenges and solutions, making it an essential resource for engineers, researchers, and students in the field.
This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices.
This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices.
Discover ground-breaking advancements in wireless biomedical device technology with our comprehensive book, which delves into the latest innovations revolutionizing HealthcareChapter 1 introduces wireless power transfer (WPT) techniques, offering a solution to the frequent battery replacements required by cardiovascular implantable medical devices (cIMDs).
This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers.
This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers.
This book deals with formal and practical approaches for early fast modeling and verification of complex digital processor hardware and software using SystemC-based virtual prototypes.
This book deals with formal and practical approaches for early fast modeling and verification of complex digital processor hardware and software using SystemC-based virtual prototypes.
This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed.
This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed.
This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI).
This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI).
This is an introductory textbook for courses in Synchronous Digital Design that enables students to develop useful intuitions for all of the key concepts of digital design.
This is an introductory textbook for courses in Synchronous Digital Design that enables students to develop useful intuitions for all of the key concepts of digital design.
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains.
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains.
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains.
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains.
This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency.