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 focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices.
Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design.
This book constitutes the proceedings of the 44th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2023, which took place in Lisbon, Portugal, in June 2023.
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.
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 a look into the future of hardware and microelectronics security, with an emphasis on potential directions in security-aware design, security verification and validation, building trusted execution environments, and physical assurance.
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 discusses the details of random number generation (RNG) as a key technology that is used for information security in various fields, such as electronic commerce and authentication.
This book discusses the complex technology of building CMOS computer chips and covers some of the unusual problems that can occur during chip manufacturing.
Modern computing engines-CPUs, GPUs, and NPUs-require extensive SRAM for cache designs, driven by the increasing demand for higher density, performance, and energy efficiency.
This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI).
Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design.
This book introduces leading-edge techniques for verifying the complex electronic systems used in industries such as aerospace, automotive, and medical devices, and ensuring the safety and security of these systems.
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 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 constitutes the proceedings of the 44th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2023, which took place in Lisbon, Portugal, in June 2023.
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 focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra.
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.
