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The authors discuss a wide variety of state-of-the-art security verification and validation approaches such as formal methods and side-channel analysis, as well as simulation-based security and trust validation approaches.
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs.
This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.
This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture.
This book defines and explores the problem of placing the instances of dynamic data types on the components of the heterogeneous memory organization of an embedded system, with the final goal of reducing energy consumption and improving performance.
This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach.
This book offers the first comprehensive coverage of digital design techniques to expand the power-performance tradeoff well beyond that allowed by conventional wide voltage scaling.
This book discusses the advantages and challenges of Body-Biasing for integrated circuits and systems, together with the deployment of the design infrastructure needed to generate this Body-Bias voltage.
This book examines research topics in IoT and Cloud and Fog computing. The book can be helpful to Cloud-based IoT service providers, Cloud-based IoT service consumers, and Cloud service developers in general for getting the state-of-the-art knowledge in the emerging IoT area.