• Title: The Very Long Game: 25 Case Studies on the Global State of Defense AI
• Author(s) Heiko Borchert, Torben Schütz, Joseph Verbovszky
• Publisher: Springer; 2024th edition (July 19, 2024); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Paperback: 631 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10/ASIN: 3031586484
• ISBN-13: 978-3031586484
• Share This:  

Book Description

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?

• Jan Maarten Schraagen is Principal Scientist at TNO, The Netherlands.

• Amazon

• Artificial Intelligence and Logic Programming
• Machine Learning
• Neural Networks and Deep Learning
• Robotics and Robot Programming

• The Very Long Game: 25 Case Studies on the Global State of Defense AI
• The Mirror Site (1) - PDF

• Responsible Use of AI in Military Systems (Jan M. Schraagen)

  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.

• Generative AI in Higher Education: The ChatGPT Effect

  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.

• Advancing Edge Artificial Intelligence: System Contexts

  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.

• The AI Expedition: From Basics to Brilliance (Manas Joshi)

  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.

• A Developer's Guide to Building AI Applications, 2nd Edition

  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.

• AI in Action: A Comprehensive Guide to Real-World Applications

  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.

• Making AI Intelligible (Herman Cappelen, et al.)

  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.

• AI for Everyone? (Pieter Verdegem)

  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.

• What Was Artificial Intelligence? (Sue Curry Jansen)

  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.

• Artificial Intelligence: Foundations of Computational Agents

  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.

• Robots and AI (Lili Yan Ing, et al)

  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.

• Artificial Intelligence for Big Data (Anand Deshpande, et al)

  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.

• Artificial Intelligence for a Better Future (Bernd Stahl)

  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.

• On the Path to AI: Foundations of the Machine Learning Age

  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.

• How Humans Judge Machines (Cesar A. Hidalgo, et al)

  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.

• The Amazing Journey of Reason: from DNA to Artificial Intelligence

  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.

• AI Art: Machine Visions and Warped Dreams (Joanna Zylinska)

  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.