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"Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering."--

Edge computing. --- Machine learning. --- Artificial intelligence. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Electronic data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Distributed processing --- Informàtica a la perifèria --- Aprenentatge automàtic. --- Intel·ligència artificial --- Biònica --- Ciència cognitiva --- Informàtica --- Màquines, Teoria de --- Ordinadors neuronals --- Simulació, Mètodes de --- Sistemes autoorganitzatius --- Vida artificial --- Processament distribuït de dades

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This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.

Intel·ligència artificial --- Xifratge (Informàtica) --- Xarxes socials en línia --- Artificial intelligence. --- Data encryption (Computer science). --- Artificial Intelligence. --- Cryptology. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Computer security --- Cryptography --- Comunitats virtuals --- Xarxes socials per Internet --- Xarxes socials virtuals --- Xarxes socials (Internet) --- Mitjans de comunicació social --- Pàgines web --- Xarxes socials --- Dades --- Encriptació (Informàtica) --- Encriptació de dades (Informàtica) --- Criptografia --- Protecció de dades --- Seguretat informàtica --- Biònica --- Ciència cognitiva --- Informàtica --- Màquines, Teoria de --- Ordinadors neuronals --- Simulació, Mètodes de --- Sistemes autoorganitzatius --- Vida artificial --- Data encryption (Computer science)

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The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular. Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

Operational research. Game theory --- Mathematical statistics --- Mathematics --- Planning (firm) --- Computer science --- Computer. Automation --- computers --- informatica --- mathematische modellen --- speltheorie --- econometrie --- wiskunde --- operationeel onderzoek --- computerkunde --- Operations research. --- Decision making. --- Management science. --- Computer science—Mathematics. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Math Applications in Computer Science. --- Optimització matemàtica. --- Investigació operativa. --- Optimització matemàtica --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Investigació --- Assignació de recursos --- Mètodes de simulació --- Programació (Matemàtica) --- Teoria de cues --- Enginyeria de sistemes --- Jocs d'estratègia (Matemàtica) --- Optimització combinatòria --- Programació dinàmica --- Anàlisi de sistemes --- Anàlisi operacional --- Investigació operacional --- Ciències de la gestió --- Enginyeria industrial --- Sistemes, Teoria de --- Optimització, Teoria de l' --- Optimització (Matemàtica) --- Sistemes d'optimització --- Teoria de l'optimització --- Anàlisi matemàtica --- Simulació, Mètodes de --- Decision making --- Operations Research and Decision Theory. --- Operations Research, Management Science . --- Mathematical Applications in Computer Science. --- Mathematics. --- Computer mathematics --- Electronic data processing