Design, Learning, and Innovation
This book constitutes the refereed proceedings of the 9th EAI International Conference on Design, Learning, and Innovation, DLI 2024, held virtually, during November 7-8, 2024. The 11 full papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Using Immersive Technologies for Learning, Accessibility, and Technological Innovation; and Engaging Learners through Gamification, Playful Design, and Generative AI.
The Military Metaverse
This book explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict. It should be of interest to militaries, the industries that support them, and the wider public.
The Military Metaverse
This book explores the impact that the Metaverse is having today on how the world's militaries procure, maintain, train, plan and fight, and how the Metaverse presents new challenges and opportunities for future conflict. It should be of interest to militaries, the industries that support them, and the wider public.
Semantic AI in Knowledge Graphs
Recent combinations of Semantic Technology and Artificial Intelligence presents new techniques to build intelligent systems. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning.
The Turing Test Argument
This book departs from existing accounts of Alan Turing's imitation game and test by placing Turing's proposal in its historical, social, and cultural context.It reconstructs a controversy in England, 1946-1952, over the intellectual capabilities of digital computers, which led Turing to propose his test. It argues that the Turing test is best understood not as a practical experiment, but as a thought experiment in the modern scientific tradition of Galileo Galilei. The logic of the Turing test argument is reconstructed from the rhetoric of Turing's irony and wit. Turing believed that learning machines should be understood as a new kind of species, and their thinking as different from human thinking and yet capable of imitating it. He thought that the possibilities of the machines he envisioned were not utopian dreams. And yet he hoped that they would rival and surpass chauvinists and intellectuals who sacrifice independent thinking to maintain their power. These would be transformed into ordinary people, as work once considered 'intellectual' would be transformed into non-intellectual, 'mechanical' work.The Turing Test Argument will appeal to scholars and students in the sciences and humanities and all those interested in Turing's vision of the future of intelligent machines in society and nature.
The Essential Guide to Prompt Engineering
This book provides a concise yet comprehensive guide to mastering the entire spectrum of prompt engineering, from fundamental concepts to pro-level techniques and essential security considerations. Filled with practical examples and detailed explanations, it delivers actionable knowledge that can be directly applied to AI projects. The guide includes dedicated chapters on key challenges and security issues, equipping readers to overcome significant obstacles they may encounter. It outlines a clear pathway to the art and science of prompt engineering, offering the tools and insights for a successful journey into the rapidly evolving world of generative AI. With its holistic approach and coherent structure, this book is an indispensable resource for AI developers, professionals in related fields, enthusiasts, graduate and undergraduate students, and anyone keen to enhance the efficiency of their interactions with AI models.
Shaping The Digital Future With Every Line Of Code
In Shaping the Digital Future with Every Line of Code: The Role of Engineers in Tomorrow's Technology, readers are invited to explore the transformative power of engineering in the digital age. This book delves into the profound responsibility and influence engineers hold as they craft the technologies that define our world. From artificial intelligence and machine learning to renewable energy and healthcare, engineers are no longer just technical problem solvers-they are visionaries, leaders, and architects of the future.The book begins by examining the evolution of the engineering role, highlighting how engineers have transitioned from coders to innovators, shaping not only systems but also the societal, economic, and ethical landscapes of tomorrow. It emphasizes the critical need for engineers to consider the broader implications of their work, ensuring that the technologies they create are inclusive, sustainable, and ethical. Through real-world examples, such as the societal impact of social media platforms and the ethical challenges of autonomous vehicles, the book illustrates how engineering decisions ripple across industries and cultures.Readers will gain insights into the collaborative nature of modern engineering, where cross-disciplinary teamwork and open-source innovation are essential for addressing global challenges. The book also explores emerging technologies like quantum computing, blockchain, and biotechnology, offering a roadmap for engineers to navigate the complexities of scaling systems, aligning technical development with business strategy, and driving innovation responsibly.At its core, Shaping the Digital Future with Every Line of Code is a call to action. It challenges engineers to think beyond technical proficiency and embrace their role as stewards of a better future. By asking critical questions about fairness, privacy, sustainability, and societal impact, engineers can ensure that the technologies they build empower humanity and address pressing global issues like climate change and inequality.This book is an essential guide for engineers at all stages of their careers, offering practical guidance, inspiration, and a framework for ethical and innovative engineering. It reminds readers that the future is not predetermined-it is built one line of code at a time, and engineers have the power to shape it for the better. The time to act is now, and this book is the roadmap for creating a more equitable, sustainable, and innovative digital future.
User Engagement Research and Practice
This book presents a holistic overview of user engagement, which has become an increasingly important subject for a variety of industry and academic fields, including engineering, computer science, and information science. The author begins with a definition of user engagement and an explanation of the theoretical background of the topic. The book then covers methodological approaches and examines some of the broader factors that influence user engagement. The author explains methods for measuring user engagement and evaluates the efficacy of each one. The book includes examples from recent research studies throughout, describing user engagement in different settings with a variety of digital information systems.
Computer Vision, Pattern Recognition, Image Processing, and Graphics
This book constitutes the refereed proceedings of the 8th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2023. The papers presented in this volume were carefully reviewed and organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, and detection and recognition.
Infrastructure as Code
The past decade has seen cloud and infrastructure as code move out of shadow IT and startups and into the mainstream. Many organizations rushed to adopt new technologies as part of their transformation into digital businesses, creating a sprawl of unmaintainable infrastructure codebases. Now, there is a need to consolidate cloud-based systems into mature foundations for sustainable growth. With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a broader context for infrastructure, explaining how to design and implement infrastructure to better support the strategic goals and challenges of an organization, such as supporting growth while better managing costs. This book covers: Foundational concepts, including an exploration of declarative and procedural infrastructure languages, where infrastructure code fits into a comprehensive platform strategy and enterprise architecture, and how to test and deliver infrastructure code. Infrastructure architecture, drawing on lessons learned from software design and engineering to build infrastructure codebases that can be evolved and scaled to enable growth and adapt to changing needs. Patterns for building infrastructure to support platform services across the complicated, varied landscapes of real-world IT systems, from physical hardware to virtual servers to cloud-native clusters and serverless workloads. Workflows and operating models that combine automation and cloud with forward-thinking approaches like Agile and DevOps for rigorous governance of compliance, cost, security, and operational quality.
How to Think about AI
Revealing the unfolding story of Artificial Intelligence, Richard Susskind presents a short non-technical guide that challenges us to think differently about AI. Susskind brings AI out of computing laboratories, big tech companies, and start-ups - and into everyday life. In recent years, and certainly since the launch of ChatGPT, there has been massive public and professional interest in Artificial Intelligence. But people are confused about what AI is, what it can and cannot do, what is yet to come, and whether AI is good or bad for humanity and civilisation - whether it will provide solutions to mankind's major challenges or become our gravest existential threat. There is also confusion about how we should regulate AI and where we should draw moral boundaries on its use. In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments. He argues that to think responsibly about the impact of AI requires us to look well beyond today璽s technologies, suggesting that not-yet-invented technologies will have far greater impact on us in the 2030s than the tools we have today. This leads Susskind to discuss the possibility of conscious machines, magnificent new AI-enabled virtual worlds, and the impact of AI on the evolution of biological humans.
Industry Innovation in the Era of Artificial Intelligence
This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential.
China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs
Computer-Human Interaction Research and Applications
This two-volume set, CCIS 2370 and CCIS 2371, constitutes the proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, held Porto, Portugal, during November 21-22, 2024. The 16 full papers and 45 short papers presented in these volumes were carefully reviewed and selected from 76 submissions. These papers focus on the research advancements and practical applications within various areas in the field of Computer-Human Interaction, including Human Factors and Information Systems, Interactive Devices, Interaction Design and Adaptive and Intelligent Systems.
Integrating Emerging Technologies Into Education and Training: Proceedings of the 2nd Etelt 2024 Workshop
Social Interaction Between Road Users and Automated Vehicles
Self-driving cars are currently operational in certain urban areas. Despite these designated zones presumed to be optimal, concerns over incident rates and shifting public opinion necessitate a focus on the social integration of these technologies. The ability of self-driving cars to navigate informal interactions and unexpected situations, a critical aspect of social behaviour, falls short due to the absence of human-centric communication transfer in urban mixed traffic where self-driving cars and humans coexist. Recognizing the social context of traffic, the thesis aims to address the gap in social interaction and position fully Automated Vehicles (AVs) as social agents. Achieving widespread accessibility for AVs goes beyond technological advancements; it requires successful social integration. The present thesis contends that failure to integrate the social agency of AVs during design could diminish their usability and overall success. Understanding social behaviour in traffic and how AVs function as social agents is crucial to resolving interaction challenges and ensuring seamless coexistence with human road users.
Secure and Resilient Digital Transformation of Healthcare
This CCIS post conference volume constitutes the proceedings of the Second International Workshop on Secure and Resilient Digital Transformation of Healthcare, SUNRISE 2024, in Bergen, Norway, during November 25, 2024. The 6 full papers presented in this volume were carefully reviewed and selected from 9 submissions. They are grouped into the following topics: Resilience and Dynamic Risk Assessment in Healthcare; Cybersecurity Adaptive and Continuous Authentication in Healthcare; Invited Paper from Keynotes.
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Machine Intelligence and Smart Systems
​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Computational Technologies and Electronics
This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23-25, 2023. The 46 full papers presented here were carefully selected and reviewed from 157 submissions. These papers have been organized in the following topical sections: Pat I- Pattern recognition & AI Part II- Data communication & security; Applied electronics.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Machine Learning, Optimization, and Data Science
The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII
The volume LNAI 15398 constitutes the revised selected papers of the 28th International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2024, held in Auckland, New Zealand, on May 7, 2024. The 9 full papers were carefully reviewed and selected from 10 submissions. The workshop focuses on both scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS.
Federated Learning in the Age of Foundation Models - FL 2024 International Workshops
This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows: FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume focuses on the following topics: Efficient Model Adaptation and Personalization, Data Heterogeneity and Incomplete Data, Integration of Specialized Neural Architectures, Frameworks and Tools for Federated Learning, Applications in Domain-Specific Contexts, Unsupervised and Lightweight Learning, and Causal Discovery and Black-Box Optimization.
Head and Neck Tumor Segmentation for Mr-Guided Applications
The Domain of UX in Information Studies: Bridging Theories, Research, and Professional Practice
AI Snake Oil
From two of TIME's 100 Most Influential People in AI, what you need to know about AI--and how to defend yourself against bogus AI claims and products Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere--and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil--products that don't work, and probably never will. While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it's being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can't fix social media, why AI isn't an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies. By revealing AI's limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home.
The Metaverse
This book explores whether the Metaverse - understood here as a persistent, immersive, and widely utilized, virtual world - will be the next chapter in the evolution of cyberspace, and what that means for people, business, and society. The Metaverse. Depending on your perspective, it's the future of the Internet, the next generation of video games, or "a deeply uncomfortable, worse version of Zoom." In many ways, the confusion, overpromising, and hype are reminiscent of how the Internet itself was envisioned in earlier epochs. A diverse range of firms are investing in Metaverse tech, causing a digital gold rush. There is plausibly a substantial first-mover advantage to be won, which Forbes has estimated to be north of a $1 trillion revenue opportunity. But there have also been questions raised about the utility of the Metaverse, with many firms, including Disney and Meta itself, pivoting to AI even as others like Apple release new products doubling down on spatial computing. In the trademark question-and-answer style of the What Everyone Needs to Know(R) series, this book provides an understanding of what the Metaverse is, how it is different from virtual and augmented reality, and the emerging Metaverse economy. It looks at media, politics, speech, crime and security, and identity and privacy in the Metaverse. It explores how governance and law operate -- or may operate -- in the Metaverse, the rights of bots, and our Meta future. The stakes are high, and confusion abounds, particularly in the public, making The Metaverse a perfect addition to the What Everyone Needs to Know(R) series.
Artificial Insect-Inspired Vision for Autonomous Systems
This book offers a straightforward explanation of groundbreaking artificial vision technology, which can provide limitless scalable resolution and lens-less, human-like vision with electronic control over focus, field of view, and direction. This advanced technology addresses the challenge of rapidly transferring large volumes of visual data for remote imaging systems.It also presents the novel artificial eye concept, the foundation of this vision technology. This eye can serve as a wearable device for visually impaired individuals, eliminating the need for surgery or implants. It offers significant advancements in long-distance vision with high resolution and automatic recognition of surrounding objects.The book also provides a concise overview of the architecture and benefits of nature-inspired antenna arrays and their potential applications, enhancing the reader's understanding and the importance of the presented vision technology.Richly illustrated with colorful diagrams and straightforward explanations, this book is designed to facilitate understanding for readers with engineering backgrounds, customers, and students.
Thrive
How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks.
If Anyone Builds It, Everyone Dies
INSTANT NEW YORK TIMES BESTSELLER The New Yorker's Best Books of 2025 The Guardian's Best Books of 2025 A 2025 Booklist Editors' Choice Pick The scramble to create superhuman AI has put us on the path to extinction--but it's not too late to change course, as two of the field's earliest researchers explain in this clarion call for humanity. "May prove to be the most important book of our time."--Tim Urban, Wait But Why In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next. For decades, two signatories of that letter--Eliezer Yudkowsky and Nate Soares--have studied how smarter-than-human intelligences will think, behave, and pursue their objectives. Their research says that sufficiently smart AIs will develop goals of their own that put them in conflict with us--and that if it comes to conflict, an artificial superintelligence would crush us. The contest wouldn't even be close. How could a machine superintelligence wipe out our entire species? Why would it want to? Would it want anything at all? In this urgent book, Yudkowsky and Soares walk through the theory and the evidence, present one possible extinction scenario, and explain what it would take for humanity to survive. The world is racing to build something truly new under the sun. And if anyone builds it, everyone dies. "The best no-nonsense, simple explanation of the AI risk problem I've ever read."--Yishan Wong, Former CEO of Reddit
Graphs in Biomedical Image Analysis
This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 12 full papers included in this volume were carefully reviewed and selected from 19 submissions. The papers cover a wide range of topics, such as deep/machine learning on graphs; probabilistic graphical models for biomedical data analysis; signal processing on graphs for biomedical image analysis; explainable AI (XAI) methods in geometric deep learning; big data analysis with graphs; graphs for small data sets; semantic graph research in medicine; modeling and applications of graph symmetry/equivariance; or graph generative models.
Computational Technologies and Electronics
This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23-25, 2023. The 46 full papers presented here were carefully selected and reviewed from 157 submissions. These papers have been organized in the following topical sections: Pat I- Pattern recognition & AI Part II- Data communication & security; Applied electronics.
Inevitable
Modern science has done an extremely good job of getting to the bottom of a number of tough problems in information theory and the study of cognition. It is therefore surprising to see that the concept of artificial intelligence has derailed into speculation about intelligent machines. This book presents a contrasting vision of the future of intelligence. Instead of assuming that artificial general intelligence is on the way, the time has come to reconsider the way we think about AI in light of the facts that emerge from a careful study of the intelligence found in living minds.AI is a mere computer program, but it is special because it can quickly navigate the digital records human beings have been making as we share our culture, our ideas, and our thoughts with one another online and via literature & speech. Minds are the origin of the material that large language models are made out of, but too many researchers have reached the wrong conclusions about the differences between biological intelligence and artificial intelligence. INEVITABLE: Distributed Cognition & Network Superintelligence is written to explore the ways in which people are already using network technologies to organize and share a staggering amount of information with each other.Enter the vision of a future in which people have learned to proactively organize around our shared bodies of knowledge, of collective human intelligence. Language brings us the ability to share our mental processes with other people around the world as we build our social networks and move forward into an ever-more-connected way of life. Providing individuals with ever-increasing access to information has been a developing goal of modern technology for some time now. As distributed systems technologies improve, it will become increasingly important to maintain the shared collective human intelligence.
