Computation Aware Algorithmic Design For Cyber Physical Systems

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Computation-Aware Algorithmic Design for Cyber-Physical Systems

Author : Maria Prandini
Publisher : Springer Nature
ISBN 13 : 303143448X
Total Pages : 251 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Computation-Aware Algorithmic Design for Cyber-Physical Systems by : Maria Prandini

Download or read book Computation-Aware Algorithmic Design for Cyber-Physical Systems written by Maria Prandini and published by Springer Nature. This book was released on 2023-12-16 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume aims to build the foundation of a framework for computationally aware algorithmic design for cyber-physical systems (CPSs), focusing on approaches that take computation into account at the design stage to address their impact on performance and safety. It demonstrates how novel techniques may emerge from the combination of formal methods, model predictive control, distributed optimization, data-driven methods, reconfigurable/adaptive methods, and information-theoretic techniques. Chapters are written by both researchers and practitioners and cover such topics as analysis and design of uncertain CPSs, cooperative and non-cooperative paradigms for handling complexity in large scale CPSs, task-relevant environment abstractions for autonomous systems based on information theory, information flow in event-based stabilization of CPSs, set-valued model predictive control, and automated synthesis of certifiable controllers for CPSs. State-of-the-art applications and case studies are provided throughout with a special focus on intelligent transportation systems and autonomous vehicles. Graduate students and researchers with an interest in CPS verification and control will find this volume to be a valuable resource in their work. It will also appeal to researchers from disciplines other than control, such as computer science, operations research, applied mathematics, and robotics.

Principles of Cyber-Physical Systems

Author : Rajeev Alur
Publisher : MIT Press
ISBN 13 : 0262328461
Total Pages : 459 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Principles of Cyber-Physical Systems by : Rajeev Alur

Download or read book Principles of Cyber-Physical Systems written by Rajeev Alur and published by MIT Press. This book was released on 2015-04-24 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems. A cyber-physical system consists of a collection of computing devices communicating with one another and interacting with the physical world via sensors and actuators in a feedback loop. Increasingly, such systems are everywhere, from smart buildings to medical devices to automobiles. This textbook offers a rigorous and comprehensive introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems. The book draws on a diverse set of subdisciplines, including model-based design, concurrency theory, distributed algorithms, formal methods of specification and verification, control theory, real-time systems, and hybrid systems, explaining the core ideas from each that are relevant to system design and analysis. The book explains how formal models provide mathematical abstractions to manage the complexity of a system design. It covers both synchronous and asynchronous models for concurrent computation, continuous-time models for dynamical systems, and hybrid systems for integrating discrete and continuous evolution. The role of correctness requirements in the design of reliable systems is illustrated with a range of specification formalisms and the associated techniques for formal verification. The topics include safety and liveness requirements, temporal logic, model checking, deductive verification, stability analysis of linear systems, and real-time scheduling algorithms. Principles of modeling, specification, and analysis are illustrated by constructing solutions to representative design problems from distributed algorithms, network protocols, control design, and robotics. This book provides the rapidly expanding field of cyber-physical systems with a long-needed foundational text by an established authority. It is suitable for classroom use or as a reference for professionals.

Explainable Artificial Intelligence

Author : Luca Longo
Publisher : Springer Nature
ISBN 13 : 3031637976
Total Pages : 529 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Explainable Artificial Intelligence by : Luca Longo

Download or read book Explainable Artificial Intelligence written by Luca Longo and published by Springer Nature. This book was released on with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Systems for Logistics Engineering III

Author : Zhengbing Hu
Publisher : Springer Nature
ISBN 13 : 3031361156
Total Pages : 1107 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Artificial Systems for Logistics Engineering III by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Logistics Engineering III written by Zhengbing Hu and published by Springer Nature. This book was released on 2023-07-15 with total page 1107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11–12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.

Security-Aware Design for Cyber-Physical Systems

Author : Chung-Wei Lin
Publisher : Springer
ISBN 13 : 3319513281
Total Pages : 106 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Security-Aware Design for Cyber-Physical Systems by : Chung-Wei Lin

Download or read book Security-Aware Design for Cyber-Physical Systems written by Chung-Wei Lin and published by Springer. This book was released on 2017-01-02 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing the rising security issues during the design stages of cyber-physical systems, this book develops a systematic approach to address security at early design stages together with all other design constraints. Cyber-attacks become more threatening as systems are becoming more connected with the surrounding environment, infrastructures, and other systems. Security mechanisms can be designed to protect against attacks and meet security requirements, but there are many challenges of applying security mechanisms to cyber-physical systems including open environments, limited resources, strict timing requirements, and large number of devices. Designed for researchers and professionals, this book is valuable for individuals working in network systems, security mechanisms, and system design. It is also suitable for advanced-level students of computer science.

Hybrid Feedback Control

Author : Ricardo G. Sanfelice
Publisher : Princeton University Press
ISBN 13 : 0691180229
Total Pages : 420 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Hybrid Feedback Control by : Ricardo G. Sanfelice

Download or read book Hybrid Feedback Control written by Ricardo G. Sanfelice and published by Princeton University Press. This book was released on 2021-01-12 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Hybrid systems are those that-unlike classical systems-exhibit both discrete changes, or "jumps", and continuous changes, or "flow." The canonical example of a hybrid system is a bouncing ball: the ball's speed changes continuously between bounces, but there is a discrete jump in velocity each time the ball impacts the ground. Hybrid systems feature widely across disciplines, including in biology, computer science, and mechanical engineering; examples range from fireflies to self-driving cars. Although classical control theory provides powerful tools for analyzing systems that exhibit either flow or jumps, it is ill-equipped to handle hybrid systems, which feature both behaviors. In Hybrid Feedback Control, Ricardo Sanfelice presents a self-contained introduction to the control of hybrid systems, and develops new tools for their design and analysis. This monograph uses hybrid systems notation to present a new, unified control theory framework, thus filling an important gap in the control theory literature. In addition to presenting this theoretical framework, the book also includes a variety of examples and exercises, a Matlab toolbox, and a summary at the beginning of each chapter. The book was originally used in a series of lectures on the topic, and will find a modest amount of crossover course use. The book will also find use outside the field of control, particularly in dynamical systems theory, applied mathematics, and computer science"--

NASA Formal Methods

Author : Jyotirmoy V. Deshmukh
Publisher : Springer Nature
ISBN 13 : 3031067738
Total Pages : 848 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis NASA Formal Methods by : Jyotirmoy V. Deshmukh

Download or read book NASA Formal Methods written by Jyotirmoy V. Deshmukh and published by Springer Nature. This book was released on 2022-05-19 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Symposium on NASA Formal Methods, NFM 2022, held in Pasadena, USA, during May 24-27, 2022. The 33 full and 6 short papers presented in this volume were carefully reviewed and selected from 118submissions. The volume also contains 6 invited papers. The papers deal with advances in formal methods, formal methods techniques, and formal methods in practice. The focus on topics such as interactive and automated theorem proving; SMT and SAT solving; model checking; use of machine learning and probabilistic reasoning in formal methods; formal methods and graphical modeling languages such as SysML or UML; usability of formal method tools and application in industry, etc.

Responsible AI

Author : CSIRO
Publisher : Addison-Wesley Professional
ISBN 13 : 0138073880
Total Pages : 425 pages
Book Rating : 4.1/5 (38 download)

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Book Synopsis Responsible AI by : CSIRO

Download or read book Responsible AI written by CSIRO and published by Addison-Wesley Professional. This book was released on 2023-12-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE FIRST PRACTICAL GUIDE FOR OPERATIONALIZING RESPONSIBLE AI ̃FROM MUL TI°LEVEL GOVERNANCE MECHANISMS TO CONCRETE DESIGN PATTERNS AND SOFTWARE ENGINEERING TECHNIQUES. AI is solving real-world challenges and transforming industries. Yet, there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guidelines to a wide range of decisionmakers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organizational, and team level; software engineering best practices; architecture styles and design patterns; system-level techniques connecting code with data and models; and trade-offs in design decisions. Responsible AI includes a set of practices that technologists (for example, technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure the AI systems they develop or adopt are trustworthy throughout the entire lifecycle and can be trusted by those who use them. The book offers guidelines and best practices not just for the AI part of a system, but also for the much larger software infrastructure that typically wraps around the AI. First book of its kind to cover the topic of operationalizing responsible AI from the perspective of the entire software development life cycle. Concrete and actionable guidelines throughout the lifecycle of AI systems, including governance mechanisms, process best practices, design patterns, and system engineering techniques. Authors are leading experts in the areas of responsible technology, AI engineering, and software engineering. Reduce the risks of AI adoption, accelerate AI adoption in responsible ways, and translate ethical principles into products, consultancy, and policy impact to support the AI industry. Online repository of patterns, techniques, examples, and playbooks kept up-to-date by the authors. Real world case studies to demonstrate responsible AI in practice. Chart the course to responsible AI excellence, from governance to design, with actionable insights and engineering prowess found in this defi nitive guide.

Formal Methods for Discrete-Time Dynamical Systems

Author : Calin Belta
Publisher : Springer
ISBN 13 : 331950763X
Total Pages : 291 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Formal Methods for Discrete-Time Dynamical Systems by : Calin Belta

Download or read book Formal Methods for Discrete-Time Dynamical Systems written by Calin Belta and published by Springer. This book was released on 2017-03-08 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges fundamental gaps between control theory and formal methods. Although it focuses on discrete-time linear and piecewise affine systems, it also provides general frameworks for abstraction, analysis, and control of more general models. The book is self-contained, and while some mathematical knowledge is necessary, readers are not expected to have a background in formal methods or control theory. It rigorously defines concepts from formal methods, such as transition systems, temporal logics, model checking and synthesis. It then links these to the infinite state dynamical systems through abstractions that are intuitive and only require basic convex-analysis and control-theory terminology, which is provided in the appendix. Several examples and illustrations help readers understand and visualize the concepts introduced throughout the book.

Hybrid Dynamical Systems

Author : Rafal Goebel
Publisher : Princeton University Press
ISBN 13 : 1400842638
Total Pages : 227 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Hybrid Dynamical Systems by : Rafal Goebel

Download or read book Hybrid Dynamical Systems written by Rafal Goebel and published by Princeton University Press. This book was released on 2012-03-18 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital and analog components. With the tools of modern mathematical analysis, Hybrid Dynamical Systems unifies and generalizes earlier developments in continuous-time and discrete-time nonlinear systems. It presents hybrid system versions of the necessary and sufficient Lyapunov conditions for asymptotic stability, invariance principles, and approximation techniques, and examines the robustness of asymptotic stability, motivated by the goal of designing robust hybrid control algorithms. This self-contained and classroom-tested book requires standard background in mathematical analysis and differential equations or nonlinear systems. It will interest graduate students in engineering as well as students and researchers in control, computer science, and mathematics.

Introduction to Embedded Systems, Second Edition

Author : Edward Ashford Lee
Publisher : MIT Press
ISBN 13 : 0262340526
Total Pages : 562 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Introduction to Embedded Systems, Second Edition by : Edward Ashford Lee

Download or read book Introduction to Embedded Systems, Second Edition written by Edward Ashford Lee and published by MIT Press. This book was released on 2017-01-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.

Stochastic Hybrid Systems

Author : Christos G. Cassandras
Publisher : CRC Press
ISBN 13 : 1420008544
Total Pages : 300 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Stochastic Hybrid Systems by : Christos G. Cassandras

Download or read book Stochastic Hybrid Systems written by Christos G. Cassandras and published by CRC Press. This book was released on 2018-10-03 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because they incorporate both time- and event-driven dynamics, stochastic hybrid systems (SHS) have become ubiquitous in a variety of fields, from mathematical finance to biological processes to communication networks to engineering. Comprehensively integrating numerous cutting-edge studies, Stochastic Hybrid Systems presents a captivating treatment of some of the most ambitious types of dynamic systems. Cohesively edited by leading experts in the field, the book introduces the theoretical basics, computational methods, and applications of SHS. It first discusses the underlying principles behind SHS and the main design limitations of SHS. Building on these fundamentals, the authoritative contributors present methods for computer calculations that apply SHS analysis and synthesis techniques in practice. The book concludes with examples of systems encountered in a wide range of application areas, including molecular biology, communication networks, and air traffic management. It also explains how to resolve practical problems associated with these systems. Stochastic Hybrid Systems achieves an ideal balance between a theoretical treatment of SHS and practical considerations. The book skillfully explores the interaction of physical processes with computerized equipment in an uncertain environment, enabling a better understanding of sophisticated as well as everyday devices and processes.

Architecture of Computing Systems - ARCS 2012

Author : Andreas Herkersdorf
Publisher : Springer Science & Business Media
ISBN 13 : 364228292X
Total Pages : 264 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Architecture of Computing Systems - ARCS 2012 by : Andreas Herkersdorf

Download or read book Architecture of Computing Systems - ARCS 2012 written by Andreas Herkersdorf and published by Springer Science & Business Media. This book was released on 2012-02-09 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th International Conference on Architecture of Computing Systems, ARCS 2012, held in Munich, Germany, in February/March 2012. The 20 revised full papers presented in 7 technical sessions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on robustness and fault tolerance, power-aware processing, parallel processing, processor cores, optimization, and communication and memory.

Computational Intelligence in Emerging Technologies for Engineering Applications

Author : Orestes Llanes Santiago
Publisher : Springer Nature
ISBN 13 : 3030344096
Total Pages : 301 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Intelligence in Emerging Technologies for Engineering Applications by : Orestes Llanes Santiago

Download or read book Computational Intelligence in Emerging Technologies for Engineering Applications written by Orestes Llanes Santiago and published by Springer Nature. This book was released on 2020-02-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Self-Aware Computing Systems

Author : Samuel Kounev
Publisher : Springer
ISBN 13 : 9783319474724
Total Pages : 0 pages
Book Rating : 4.4/5 (747 download)

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Book Synopsis Self-Aware Computing Systems by : Samuel Kounev

Download or read book Self-Aware Computing Systems written by Samuel Kounev and published by Springer. This book was released on 2017-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.

Cyber-Physical Systems of Systems

Author : Andrea Bondavalli
Publisher : Springer
ISBN 13 : 3319475908
Total Pages : 270 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Cyber-Physical Systems of Systems by : Andrea Bondavalli

Download or read book Cyber-Physical Systems of Systems written by Andrea Bondavalli and published by Springer. This book was released on 2016-12-16 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license. Technical Systems-of-Systems (SoS) – in the form of networked, independent constituent computing systems temporarily collaborating to achieve a well-defined objective – form the backbone of most of today’s infrastructure. The energy grid, most transportation systems, the global banking industry, the water-supply system, the military equipment, many embedded systems, and a great number more, strongly depend on systems-of-systems. The correct operation and continuous availability of these underlying systems-of-systems are fundamental for the functioning of our modern society. The 8 papers presented in this book document the main insights on Cyber-Physical System of Systems (CPSoSs) that were gained during the work in the FP7-610535 European Research Project AMADEOS (acronym for Architecture for Multi-criticality Agile Dependable Evolutionary Open System-of-Systems). It is the objective of this book to present, in a single consistent body, the foundational concepts and their relationships. These form a conceptual basis for the description and understanding of SoSs and go deeper in what we consider the characterizing and distinguishing elements of SoSs: time, emergence, evolution and dynamicity.

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 3031399323
Total Pages : 481 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by : Sudeep Pasricha

Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-10-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.