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Computer science. --- Informatics --- Science --- Intel·ligència artificial --- Computació quàntica --- Cadena de blocs (Bases de dades) --- Biònica --- Ciència cognitiva --- Informàtica --- Màquines, Teoria de --- Ordinadors neuronals --- Simulació, Mètodes de --- Sistemes autoorganitzatius --- Vida artificial

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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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Public key cryptography is a major interdisciplinary subject with many real-world applications, such as digital signatures. A strong background in the mathematics underlying public key cryptography is essential for a deep understanding of the subject, and this book provides exactly that for students and researchers in mathematics, computer science and electrical engineering. Carefully written to communicate the major ideas and techniques of public key cryptography to a wide readership, this text is enlivened throughout with historical remarks and insightful perspectives on the development of the subject. Numerous examples, proofs and exercises make it suitable as a textbook for an advanced course, as well as for self-study. For more experienced researchers it serves as a convenient reference for many important topics: the Pollard algorithms, Maurer reduction, isogenies, algebraic tori, hyperelliptic curves and many more.

Coding theory --- Cryptography --- Codage --- Cryptographie --- Mathematics --- Mathématiques --- Cryptanalysis --- Cryptology --- Secret writing --- Steganography --- Signs and symbols --- Symbolism --- Writing --- Ciphers --- Data encryption (Computer science) --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Mathématiques --- Mathematics. --- Coding theory. --- Codificació, Teoria de la. --- Criptografia --- Matemàtica. --- Escriptura secreta --- Escriptura xifrada --- Esteganografia --- Escriptura --- Simbolisme --- Símbols --- Xifratge (Informàtica) --- Xifres i claus --- Teoria de la codificació --- Dades --- Electrònica digital --- Informació, Teoria de la --- Màquines, Teoria de --- Senyal, Teoria del (Telecomunicació) --- Programació (Ordinadors) --- Compressió (Informàtica) --- Compressió (Telecomunicació) --- Teoria de la informació --- Compressió de dades (Telecomunicació) --- Compressió de dades (Informàtica)

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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

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"This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics. The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than developers. It makes heavy use of over 200 code examples to illustrate dozens of key statistical concepts. The Julia code, written in a simple format with parameters that can be easily modified, is also available for download from the book's associated GitHub repository online. See what co-creators of the Julia language are saying about the book: Professor Alan Edelman, MIT: With "Statistics with Julia", Yoni and Hayden have written an easy to read, well organized, modern introduction to statistics. The code may be looked at, and understood on the static pages of a book, or even better, when running live on a computer. Everything you need is here in one nicely written self-contained reference. Dr. Viral Shah, CEO of Julia Computing: Yoni and Hayden provide a modern way to learn statistics with the Julia programming language. This book has been perfected through iteration over several semesters in the classroom. It prepares the reader with two complementary skills - statistical reasoning with hands on experience and working with large datasets through training in Julia." -- Publisher's description.

Statistical science --- Operational research. Game theory --- Mathematical control systems --- Mathematical statistics --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- stochastische analyse --- bedrijfssoftware --- informatica --- statistiek --- informatietechnologie --- wiskunde --- informatietheorie --- Probabilities --- Statistics --- Estadística --- Estructures de dades (Informàtica) --- Estadística matemàtica --- Probabilitats --- Aprenentatge automàtic --- Data processing. --- Informàtica --- Infrmàtica --- Anàlisi estadística --- Control estadístic --- Informació estadística --- Economia --- Matemàtica --- Allisament (Estadística) --- Anàlisi de regressió --- Anàlisi de variància --- Biometria --- Censos --- Correlació (Estadística) --- Presa de decisions (Estadística) --- Estadística comercial --- Estadística demogràfica --- Estadística econòmica --- Estadística educativa --- Estadística financera --- Estadística industrial --- Estadística mèdica --- Mitjana (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Serveis estadístics --- Sondejos d'opinió --- Econometria --- Investigació quantitativa --- Estadística computacional --- Estadística descriptiva --- Inferència estadística --- Matemàtica estadística --- Mètodes estadístics --- Anàlisi d'error (Matemàtica) --- Anàlisi de sèries temporals --- Anàlisi multivariable --- Anàlisi seqüencial --- Astronomia estadística --- Dependència (Estadística) --- Estadística no paramètrica --- Estadística robusta --- Física estadística --- Mètode dels moments (Estadística) --- Teoria de l'estimació --- Teoria de la predicció --- Tests d'hipòtesi (Estadística) --- Mostreig (Estadística) --- Fitxers informàtics --- Processament de dades --- Programació (Ordinadors) --- Intel·ligència artificial --- Màquines, Teoria de