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.
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. The book will spark fresh thinking and provide a driving force for global industrial innovation. Author Xiaomei Wang, Founder and CEO of PathoAI, former Global Leader of Big Data and Analytics at IBM, as well as General Manager of IBM Growth Markets Unit Big Data Centers, draws on over 20 years of experience in data analytics and AI to offer unique insights and a rich collection of compelling industry case studies.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. By offering a blend of theoretical insight and practical guidance, it empowers readers to embrace AI as a catalyst for innovation and sustainable growth in their respective fields.
AWS Certified Data Engineer Study Guide
Quickly and confidently prepare for the AWS Certified Data Engineer: Associate Exam as you learn to perform in a real-world data engineering role In AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam, a team of veteran AWS professionals and experts delivers a hands-on playbook for the new DEA-C01 exam that comprehensively prepares you for a data engineering role in the real world. The author walks you through every competency tested on the AWS Certified Data Engineer: Associate Exam, including data ingestion and transformation, data store management, data operations and support, and data security and governance. This Study Guide prepares you to complete everyday data engineering tasks quickly, confidently, and correctly--the first time. In it, you'll find: Complimentary access to Sybex's superior online and interactive learning environment and test bank, including hundreds of practice test questions, electronic flashcards, and a glossary of key terms Authoritative and easy-to-read instruction written by Amazon Web Services (AWS) subject-matter experts Comprehensive guidance on the skills and competencies expected from new professionals in data engineering roles Perfect for anyone preparing for the AWS Certified Data Engineering: Associate Exam, this Study Guide is also a must-read for aspiring and practicing junior professionals in data engineering roles hoping to brush up on the key concepts and real-world knowledge you'll need in your day job.
China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs
Integrating Emerging Technologies Into Education and Training: Proceedings of the 2nd Etelt 2024 Workshop
Humanities in the Time of AI
Why AI offers a chance for the humanities to strengthen their relevance and significance If humanistic research consists of the generation of consensus positions, simple expression, summarized texts, or passable translations, then we have arrived at the place where AI is able to accomplish these different missions to a convincing degree. However, Laurent Dubreuil argues, such tasks do not, in any way, constitute the humanities. On the contrary, he posits, a maximalist take on scholarship would not focus on generation but on creation, as a subject and as an object. Dubreuil seizes the opportunity of what AI reveals about the meaning of humanistic inquiry to offer a path for the renewal of the humanities on transhistorical, transcultural, and transdisciplinary grounds.
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.
Head and Neck Tumor Segmentation for Mr-Guided Applications
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.
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.
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.
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 114 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.
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.
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.
How AI Thinks
THE #2 TIMES BESTSELLER 'Artificial intelligence is going to have a massive impact on everyone's lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den 'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, Microsoft Those who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins? We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.
If Anyone Builds It, Everyone Dies
"May prove to be the most important book of our time."--Tim Urban, Wait But Why 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. 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
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 114 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.
Sustainable Cloud Development
Reduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principlesKey Features: - Discover sustainable cloud practices, including carbon footprint analysis, optimization, and security- Explore best practices, insights, and case studies for implementing sustainable solutions like generative AI workloads- Learn cost-saving strategies through efficient resource use and business alignment- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Written by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability.This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You'll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications.This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.What You Will Learn: - Explore the principles of sustainable cloud computing and application performance analysis- Discover best practices for data lifecycle management, storage optimization, and networking efficiency- Understand and analyze the carbon footprint of cloud applications- Implement sustainable software architecture and coding patterns- Optimize the lifecycle and consumption of generative AI models- Align cloud services with sustainability goals and global regulations- Explore eco-friendly generative AI practices, including efficient model deploymentWho this book is for: This book is for cloud architects, engineers, DevOps professionals, and IT sustainability specialists who want to align their cloud practices with environmental goals. It also caters to software developers eager to build green, efficient solutions. A basic understanding of cloud services and IT infrastructure is necessary.Table of Contents- Foundations of Sustainable Cloud Computing and Carbon Footprint Analysis- Energy and Compute Efficiency in Cloud Infrastructure- Sustainable Data Management and Storage Optimization- Network Optimization for Sustainability- Security, Observability, and Monitoring in Sustainable Cloud Development- Sustainable Software Architecture and Design Patterns- Sustainable DevOps and CI/CD Practices- Sustainable DevOps, Container, and CI/CD Practices- Cost Optimization through Sustainable Operation- Optimizing the GenAI Lifecycle for Sustainability- Optimizing the Consumption of GenAI Foundational Models- Case Studies and Best Practices- Pillars of a Sustainable Technology Future
Artificial Intelligence and Soft Computing
This book constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024, held in Zakopane, Poland, during June 16-20, 2024. The 96 full papers included in this book were carefully reviewed and selected from 179 submissions. They are organized in topical sections as follows: Part I -neural networks and their applications;pattern classification. Part II -evolutionary algorithms and their applications;artificial intelligence in modeling and simulation;computer vision, image and speech analysis. Part III - various problems of artificial intelligence;bioinformatics, biometrics and medical applications.
Discovering Drift Phenomena in Evolving Landscapes
This book constitutes the post-conference proceedings of the First International Workshop on Discovering Drift Phenomena in Evolving Landscapes, DELTA 2024, held in Barcelona, Spain, on August 26, 2024. The 9 full papers presented together with 1 short paper were carefully reviewed and selected from 17 submissions. The papers are grouped into three topical sections, namely: adaptive and robust learning in dynamic environments; challenges and solutions in drift detection and anomaly explanation; and innovative approaches to concept drift detection and landscape shifts.
