• Title Industrial Artificial Intelligence Technologies and Applications
• Author(s) Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
• Publisher: River Publishers; 1st edition (September 11, 2023); eBook (Open Access Edition)
• License(s): CC BY 4.0
• Paperback: 211 pages
• eBook: PDF and Read Online
• Language: English
• ISBN-10: 8770227918
• ISBN-13: 978-8770227919
• Share This:  

Book Description

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.

• Dr. Ovidiu Vermesan is Chief Scientist at SINTEF Digital, Oslo, Norway. His research interests are in smart systems integration, mixed-signal embedded electronics, analogue neural networks, edge artificial intelligence and cognitive communication systems.

• Amazon

• Artificial Intelligence and Logic Programming
• Machine Learning
• Neural Networks and Deep Learning
• Miscellaneous and Uncategorized Books

• Industrial Artificial Intelligence Technologies and Applications (Ovidiu Vermesan, et al)
• The Mirror Site (1) - PDF

• Queer Reflections on AI: Uncertain Intelligences

  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.

• Beyond ChatGPT and 50 New AI Tools (Brian Scott Fitzgerald)

  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.

• 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.

• Artificial Intelligence for Digitising Industry - Applications

  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.

• 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 Technology (Huawei)

  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,

• 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.

• Paths: Why is Life Filled with so many Detours?

  This book explores the amazing similarity between paths taken by people and many other things in life, and its impact on the way we live, teach and learn. Offering insights into the new scientific field of paths as part of the science of networks, etc.

• 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.

• 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.

• Linguistics for the Age of AI (Marjorie McShane, et al)

  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.

• AI based Robot Safe Learning and Control (Xuefeng Zhou, et al)

  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.

• AI Crash Course (Hadelin de Ponteves)

  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.

• Networks, Crowds, and Markets: a Highly Connected World

  It looks at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior, and addresses fundamental questions about how the social, economic, and technological worlds are connected.