About the potential and capabilities of artificial intelligence (AI) and machine learning (ML) for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML.

The book is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies.

The book explores the potential of artificial intelligence to transform everyday life while highlighting both the benefits and risks. The book encourages readers to embrace AI responsibly, focusing on its impact on healthcare, creativity, and society.

This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Demystifying AI through fundamental concepts and industry examples.

A state-of-the-art overview of current machine learning research and its exploitation in various application areas. Deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive.

Provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education. Introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework.

What impact will Generative AI (GenAI) have on how we create art and how we understand what art is for? How will it affect the role of the artist in the future and the conditions under which artists will work?

Lays out what is required to develop and use AI in military systems in a responsible manner. Provides a broad overview of all relevant aspects involved with the responsible development, deployment and use of AI in military systems.

This is an eye-opening book. AI has the potential to be the single greatest force multiplier for armed forces in human history. But how to prepare armed forces to successfully leverage AI?

The intersection of AI, the Internet of Things (IoT) and Edge Computing has kindled the edge AI revolution that promises to redefine how we perceive and interact with the physical world through intelligent devices.

Presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. Also introduces some of the most popular Big Data, AI and Blockchain applications in the sector.

Presents state-of-the-art tips, tricks, and techniques drawn from developers of shipped commercial games as well as some of the best-known academics in the field, acts as a toolbox of proven techniques coupled with the newest advances in Game AI.

This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty, etc.

This open access book offers a strategic perspective on AI and the process of embedding it in society. ​After decades of research, Artificial Intelligence (AI) is now entering society at large.

This book explores the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions.

An insightful investigation into the mechanisms underlying the predictive functions of neural networks - and their ability to chart a new path for AI. Delve into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks.

The authors describe industrial AI's challenges, the approaches adopted, and the main industrial systems and applications to give the reader extensive insight into the technical nature of this field.

Moving beyond the examination of empirical examples and technical solutions, the book approaches the relationship between queerness and AI from a theoretical perspective that posits queer theory as central to understanding AI differently.

Provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the High-Performance Computing (HPC), Cloud, Big Data, and artificial intelligence (AI) domains.

This ultimate guide covers the latest AI tools! Explore over 50 creative alternatives, including ChatGPT. Stay ahead and maximize AI technology. This in-depth look at the newest developments will teach you a lot.

If you're interested in building AI applications, this ebook will walk you through the creation of a virtual assistant, a conversational AI app that can understand language, perceive vast amounts of information, and respond intelligently.

Delve into the future of AI and its potential impact. Discover the concept of Artificial General Intelligence (AGI) and the challenges associated with creating AI that can perform a wide array of tasks akin to human intelligence.

In this book, you will discover how to create intelligent Non-Player Characters using simple techniques and built-in Assets and include common AI features found in 3D games, and learn and practice as you go.

We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous.

Prescient autopsy of AI self-selling - the rhetoric of the masculinist sublime - is reprinted with a new introduction. Now an open access book, it's a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers.

This book aims to give our readers a basic outline of today's research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots.

This text is a modern and coherent introduction to the field of Artificial Intelligence that uses rational computational agents and logic as unifying threads in this vast field. Many fully worked out examples, expanded coverage on machine learning material, etc.

The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises.

This book discusses applications of Logic Programming to computational logic and potential applications to the integration of models of computation, knowledge representation and reasoning, and the Semantic Web.

Can humans and artificial intelligences share concepts and communicate? The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications.

This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, etc.

This book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work.

This book explores machine learning and its impact on how we make sense of the world. It introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data.

This book outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research. It presents the theory behind this methodology from a humanities perspective and discusses its practical applications.

A detailed examination of people's reactions to machine actions as compared to human actions. Through dozens of experiments, this book explores when and why people judge humans and machines differently.

This book analyses the evolution of complex structures (Organisms, or organized, living, systems) in the universe - from the subatomic particles after the Big Bang onwards - in order to understand the emergence of today's interconnected society.

The book critically examines artworks that use AI, be it in the form of visual style transfer, algorithmic experiment or critical commentary. It also engages with their predecessors, including robotic art and net art.

This book summarizes an exciting approach to knowledge-rich natural language understanding, in the context of language - using AI agents. Anyone interested in building cognitive systems that use language should read this book.

This book is your essential guide to navigating this fascinating world, offering a deep dive into the core algorithms that power AI, and unraveling the mysteries that lie at the heart of this revolutionary technology.

This book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning.

This book teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. It gives you everything you need to build AI systems with reinforcement learning and deep learning.

This is a a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.

This book shows the newest applications reached according with the technological changes that are presented nowadays. Those changes drastically appear in digital systems or other parallel areas that allow to improve the performance of AI algorithms.

You will learn to use machine learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of machine and deep learning techniques to work on genetic and neuro-fuzzy algorithms.

This book captures the essence of artificial intelligence - solving the complex problems that arise wherever computer technology is applied. Readers learn how to use a number of different software tools and techniques to address many challenges.

This book is an overview of classical artificial intelligence (AI) programming via actual implementation of landmark systems (case studies). It teaches advanced Common Lisp techniques in the context of building major AI systems.

This book provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background. It presents an original extended AI programming project - the Automated Tourist Guide exercise throughout the main chapters of the text to illustrate the material covered and show how AI actually works.

This book probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence and truly prodigious speed and memory.

This book illustrates how to program AI algorithms in Lisp, Prolog, and Java. The book basically cover each topic 3 times in each language. Topics include: simple production-like system based on logic, logic-based learning, and natural language parsing.

This book is a guide to Prolog and Artificial Intelligence, including key developments in the field, concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems.

This book presents many concepts in artificial intelligence (AI) and problem-solving systems in terms of the Prolog language. Its stated purpose is to provide an informal, hands-on approach to learning AI.

For Prolog programmer interested in either building expert systems or experimenting with various expert system techniques. using a step-by-step approach to building systems, explaining the concepts and showing the Prolog code at each stage.

This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the both biometrics and media forensics fields.

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible.

This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks, expert systems, machine learning, etc.

This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers - the definitive history of a field that has captivated the imaginations of scientists, philosophers, etc.

This book tells the history of the origins of Artificial Intelligence (AI). As the field that seeks to do things that would be considered intelligent if a human being did them, AI is a constant of human thought.

This book tells the story of the development, during the 1960s and 1970s, of AI, the field that sought to get computers to do things that would be considered intelligent if a person did them. Watching advances of the 1960s and 1970s by the efforts of AI founders.

The book describes 45 algorithms from the field of Artificial Intelligence. All algorithm descriptions are complete and consistent to ensure that they are accessible, usable and understandable by a wide audience.

This exclusive report unpacks concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to people in both fields. Optimization approaches have enjoyed prominence in machine learning.

This book is to model creativity using computational approaches in Python. The aim is to construct computer models that exhibit creativity in an artistic context, that is, that are capable of generating or evaluating an artwork (visual or linguistic), etc.

This book is an introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic.

This book is an introduction to inductive logic programming (ILP), which aims at a formal framework as well as practical algorithms for inductively learning relational descriptions in the form of logic programs.

This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.

This book discusses the motivations for and principles of learning algorithms for deep architectures. By analyzing and comparing recent results with different learning algorithms for deep architectures, explanations for their success are proposed.

This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.

Questions answered in this little book: What is logic programming? Why is negation hard in logic programming? What is cutting? How do I solve logic puzzles? How is logic programming implemented?

For Prolog programmer interested in either building expert systems or experimenting with various expert system techniques. using a step-by-step approach to building systems, explaining the concepts and showing the Prolog code at each stage.

The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently.

This book introduces embodied cognitive science and illustrates its foundational ideas through the construction and observation of LEGO Mindstorms robots - even simple agents, such as LEGO robots, are capable of exhibiting complex behavior.

Intended to introduce the foundations of cognitive science, this book addresses a number of questions currently being asked by those practicing in the field of cognitive science. It highlights the fundamental tensions and lines of fragmentation of cognitive science.

This is the only book for teaching and referencing of Planning Algorithms in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications and medicine, etc.

A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book. They are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence.

This book to provides a complete and coherent review of the theory of Genetic Programming (GP). This unique overview of this exciting technique is written by three of the most active scientists in GP.

This book discusses algorithmic developments in the context of Genetic Algorithms (GAs) and Genetic Programming (GP). It applies the algorithms to significant combinatorial optimization problems and algorithm development.

The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems.

This book shows various applications of Fuzzy Logic in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment Systems.

This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines - how it will play a significant role in the development of intelligent robotic, machine, and mechatronics systems.

This well-organized book takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications.

Integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems.

This is one of the few texts that combines three essential theses in the study of logic programming: logic, programming, and implementation.

This highly accessible introduction to Lisp is suitable both for novices approaching their first programming language and experienced programmers interested in exploring a key tool for artificial intelligence research.

This is an introductory and down-to-earth presentation of Constraint Logic Programming (CLP), for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimization problems.

Conceptive C is an AI programming Language based on Objective-C and C Language. It is a superset of both languages and is designed to work with Apple Mac OS X and iOS.

This book is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts.

This book provides the mathematical fundamentals as well as algorithms for various shape interrogation methods including nonlinear polynomial solvers, intersection problems, differential geometry of intersection curves, distance functions, etc.

Statistical, machine learning and neural network approaches to classification are all covered in this volume.

This book shows several different approaches to applying machine learning to data analysis and prediction problems. It also demonstrates different clustering and classification techniques, and explains how effective these techniques can be.

This is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems.

This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

This book introduces major new developments in a continually evolving field and includes such topics as concurrency and equational and constraint logic programming.

This book introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. It is useful for the formalization of proofs and basics of automatic theorem proving.

This book brings you to the edge of current knowledge about vision, and explores the tasks scientists face in deciphering the many remaining mysteries of vision and the workings of the human brain.

It examines the obstacles to making U.S. intelligence more capable and offer recommendations for effective reform. In short a mediocre book by most counts that will not do much to add efforts to reform the practice of intelligence in the U.S.