Libros de Otros lenguajes, página 70 de 224

Computer vision is central to many leading edge innovations including self driving cars drones augmented reality facial recognition and much much more Amazing new computer vision applications are developed every day thanks to rapid advances in AI and deep learning DL Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent scalable computer vision systems that can identify and react to objects in images videos and real life With author Mohamed Elgendy s expert instruction and illustration of real world projects you ll finally grok state of the art deep learning techniques so you can build contribute to and lead in the exciting realm of computer vision Key Features Introduction to computer vision Deep learning and neural network Transfer learning and advanced CNN architectures Image classification and captioning For readers with intermediate Python math and machine learning skills About the technology By using deep neural networks AI systems make decisions based on their perceptions of their input data Deep learning based computer vision CV techniques which enhance and interpret visual perceptions makes tasks like image recognition generation and classification possible Mohamed Elgendy is the hea

Federated Learning Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges covering various aspects of communicati on effi ciency theoretical convergence and security Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service Part III concludes the book with a wide array of industrial applicati ons of federated learning as well as ethical considerations showcasing its immense potential for driving innovation while safeguarding sensitive data Federated Learning Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors

This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling

Computing Essentials adds a focus on the growing impact of AI tools on industries andcareers ethical considerations of AI AI presence in social media andinnovative uses of AI These concepts have been incorporated into the maintext as well as the Privacy Ethics Community Making IT Work for You and ALook to the Future features

An illustrated journey through the past present and future of artificial intelligence from popular science author Cliff Pickover From medieval robots and Boolean algebra to facial recognition artificial neural networks and adversarial patches this fascinating history takes readers on a vast tour through the world of artificial intelligence Award winning author Clifford A Pickover The Math Book The Physics Book Death & the Afterlife explores the historic and current applications of AI in such diverse fields as computing medicine popular culture mythology and philosophy and considers the enduring threat to humanity should AI grow out of control Across 100 illustrated entries Pickover provides an entertaining and informative look into when artificial intelligence began how it developed where it s going and what it means for the future of human machine interaction

Master the technology reshaping our world today In a series of 50 accessible essays Keith Mansfield introduces and explains the essential concepts ideas and key thinkers behind artificial intelligence From Alan Turing asking can machines think and the best prompting techniques for generative AI to Superintelligence and the Singularity 50 AI Ideas You Really Need to Know is a complete introduction to the most important AI concepts past present and future

This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust swarm intelligence based systems highly or fully decentralized semi autonomous highly scalable infrastructures in various real life scenarios Among others the book reviews the use of the swarm intelligence paradigm in financial investment blockchain protocols design shared transportation systems communication networks bioinformatics and military applications Theoretical and practical limitations of such systems as well as trade offs between the various economic and operational parameters of the systems are discussed The book is intended for researchers and engineers in the fields of swarm systems economics agriculture nutrition and operation research

Cognitive Assistant Supported Human Robot Collaboration covers the design and development of cognitive assistants in the smart factory era its application domains challenges and current state of the art in assistance systems with collaborative robotics and IoT technologies standards platforms and solutions This book also provides a sociotechnical view of collaborative work in human robot teams investigating specific methods and techniques to analyze assistance systems This provides readers with a comprehensive overview of how cognitive assistants function and work in human robot teams

Artificial Intelligence is one of the most rapidly evolving subjects within the computing engineering curriculum with an emphasis on creating practical applications from hybrid techniques Despite this the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today s courses Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge based systems neural networks fuzzy systems evolutionary computation and now also data mining The principles behind these techniques are explained without resorting to complex mathematics showing how the various techniques are implemented when they are useful and when they are not No particular programming language is assumed and the book does not tie itself to any of the software tools available However available tools and their uses will be described and program examples will be given in MATLAB The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design while the contemporary coverage means more advanced students will benefit by discovering the latest state of the art techniques The book cover

User experience UX design practices have seen a fundamental shift as more and more software products incorporate machine learning ML components and artificial intelligence AI algorithms at their core This book will probe into UX design s role in making technologies inclusive and enabling user collaboration with AI AI ML based systems have changed the way of traditional UX design Instead of programming a method to do a specific action creators of these systems provide data and nurture them to curate outcomes based on inputs These systems are dynamic and while AI systems change over time their user experience in many cases does not adapt to this dynamic nature Applied UX Design for Artificial Intelligence will explore this problem addressing the challenges and opportunities in UX design for AI ML systems look at best practices for designers managers and product creators and showcase how individuals from a non technical background can collaborate effectively with AI and Machine learning teams You Will Learn Best practices in UX design when building human centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and commun

AutoCAD 14. Iniciación y referencia forma parte de una nueva filosofía de libros que aúnan en un solo volumen un curso de aprendizaje y una guía de consulta rápida. En este libro encontrará todo lo que debe saber para aprender y adquirir soltura en el manejo de AutoCAD 14 el programa de CAD mas universal y extendido.

Este libro se ha diseñado como un curso de programación en Pascal en las versiones 5.0/5.5 6.0 y 7.0 de Turbo Pascal. Asimismo puede ser utilizado con la nueva versión Borland Pascal 7.0 ejecutándose bajo el sistema operativo DOS. Busca conseguir dos objetivos complementarios: Enseñar a programar con un estilo depurado y enseñar tecnicas de Turbo Pascal. Esta tercera edicion ha ampliado considerablemente el contenido de las ediciones anteriores. De modo formal se han añadido dos capitulos mas para conformar un total de venticuatro pero de modo practico se han reestructurado y organizado con un orden distinto muchos de los capitulos en base a la experiencia acumulada en los nueve años de vida del libro.