This book reflects the current perception in various fields that modern computing applications are becoming increasingly challenged in terms of complexity and intelligence. It investigates the relevance and relationship artificial intelligence maintains with "modern strands of computing". These consist of pervasive computing and ambient intelligence, bioinformatics, neuroinformatics, computing and the mind, non-classical computing and novel computing models, as well as DNA computing and quantum computing.
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.
The impact of information technology in the field of military decision making is superficially less visible than that of a number of other weapon developments, though its importance has grown steadily since the beginning of the 1980s. Owing to its potential role in modern weapon systems and the prospect of its inclusion as an essential ingredient in many military projects such as the Strategic Defence Initiative, it has become the focus of special interest and efforts. This book is the first attempt to present a broad overview of the prospects for information technology in general, and machine intelligence in particular, in the context of international security. The dangers and promises of weapon and arms control applications of computers and artificial intelligence to decision-making processes are analysed in a technical, strategic, and political perspective by experts from six different countries. In an introductory chapter, Allan Din presents a generic overview of artificial intelligence and its prospects. Thirteen contributors then discuss the conceptual and technical framework of artificial intelligence, analyse implications for weapon systems and strategy, and discuss possible applications to arms control verification and modelling.
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
What Is Artificial Intelligence Robots Autonomous or remote-controlled mobile robots that have been created specifically for use in the military, whether for transport, search and rescue, or offensive purposes, these machines are known as military robots. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Military robot Chapter 2: DARPA Chapter 3: Autonomous robot Chapter 4: Unmanned aerial vehicle Chapter 5: Information warfare Chapter 6: Swarm robotics Chapter 7: Lethal autonomous weapon Chapter 8: Artificial intelligence arms race Chapter 9: Unmanned ground vehicle Chapter 10: Modular Advanced Armed Robotic System (II) Answering the public top questions about artificial intelligence robots. (III) Real world examples for the usage of artificial intelligence robots in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence robots' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence robots.
