Computational Science and Computational Intelligence
The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The 25 full papers included in this book were carefully reviewed and selected from a total of 383 submissions. They were organized in topical sections on machine learning, neural networks, knowledge graphs, and applications; artificial intelligence and novel applications; and computational intelligence and applications.
From Smart Cities to the Metaverse
This book offers a comprehensive exploration of the convergence between smart city infrastructure and the emerging metaverse. This book highlights the importance of integrating advanced technologies such as Artificial Intelligence, Virtual Reality/Augmented Reality, and blockchain to enhance urban living experiences while addressing such innovations' security and ethical challenges. Its applications span urban planning, transportation, education, historic preservation, and inclusive city development, making it an essential resource for modern urban development.The book covers many key areas critical to understanding and implementing smart cities and the metaverse. It starts with both domains' foundational concepts and technological underpinnings, followed by a deep dive into the security infrastructure and challenges smart cities face. Cybersecurity is given special attention, exploring motives and methods of cyber attacks and proposing mitigation techniques and best practices. The book also examines AI chatbots, intelligent transportation, and the integration of digital twins, providing practical case studies and insights. Furthermore, it addresses the socio-economic implications, governance, and ethical considerations, ensuring a holistic approach to the subject.The motivation for writing this book stems from the author's recognition of the transformative potential of smart cities and the metaverse in creating sustainable, efficient, and inclusive urban environments. By bridging the gap between theoretical research and practical application, the author aims to equip researchers, policymakers, and technologists with the knowledge and tools needed to navigate and shape the future of urban living in a digitally interconnected world.
Computational Science and Computational Intelligence
The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The 31 full papers included in this book were carefully reviewed and selected from a total of 383 submissions. They were organized in topical sections on prediction methods and novel applications; large language models, generative tools, speech recognition and applications; computational intelligence, machine learning, data science and applications; and artificial intelligence - ongoing research projects.
Extended Reality
The seven-volume set LNCS 15737-15743 constitutes the proceedings of the International Conference on Extended Reality, XR Salento 2025, held in Otranto, Italy, during June 17-20, 2025.The 128 full papers presented together with 65 short papers were carefully reviewed and selected from 256 submissions. The papers are organized in the following topical sections: Part I: Virtual Reality; and Augmented and Mixed Reality.Part II: Extended Reality; and Extended Reality in Education and Learning.Part III: Transforming Research and Clinical Interventions with eXtended Reality.Part IV: Digital Twin: Innovative Approaches in Industry and Healthcare.Part V: eXtended Reality for Cultural Tourism Sustainability; eXtended Reality for Art, Design, and Entertainment; and Digital Twin and Smart Virtual Representations for Cultural Heritage.Part VI: Crafting Virtual Humans for Immersive XR Applications; and eXtended Reality for Serious Games.Part VII: Artificial Intelligence; Integrating Artificial Intelligence, Computer Vision and Augmented Reality in Computer-Assisted Intervention; and AI-Driven XR Innovations in Healthcare: Bridging Technology and Ethics.
International Conference on Smart Systems and Emerging Technologies
This book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains--from healthcare and cybersecurity to smart cities and language processing. Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical imaging, optimizes traffic flow prediction, and refines speaker diarization in forensic audio. Immerse into ethical AI discussions, UAV navigation in GPS-denied terrains, and blockchain-secured voting systems, all while uncovering novel approaches to IoT security, cloud computing, and industrial efficiency. With contributions from leading researchers and practitioners, this book addresses critical topics like AI-driven sentiment analysis for business intelligence, self-supervised graph neural networks, and ethical implications of emerging technologies. Each chapter combines rigorous technical depth with actionable applications, making it an indispensable resource for researchers, engineers, and students eager to harness AI's potential in tackling modern global challenges.
Silent Economy
This book explores the evolution of artificial intelligence (AI) and its wide-ranging impacts. Beginning with the concept of the silent economy, this work traces the development of AI from its early stages to the present, highlighting the emergence of generative AI. The narrative examines how AI influences organizational culture, societal well-being, and business decisions at strategic, tactical, and operational levels. The book also analyzes the evolving dynamics of the workplace, consumer behavior, and AI's ethical and legal implications. The final chapter offers thoughtful reflections on future generations of AI, presenting a comprehensive and insightful perspective on this transformative technology.
Cloud Computing Security
The book provides a fundamental exploration of cloud security, addressing the growing risks associated with modern cloud environments. It combines foundational theory with hands-on applications, equipping readers with the knowledge and tools needed to secure cloud platforms. Topics include cloud attack vectors, defence mechanisms, implementation challenges, and real-world case studies of major cloud service providers. Practical exercises and end-of-chapter questions reinforce key concepts, making this an essential resource. Designed for undergraduate and postgraduate students in computer science and cybersecurity, this book serves as a vital guide to securing cloud infrastructures and ensuring data integrity in a rapidly evolving technological landscape. Covers cloud security concepts, attack types, and defense mechanisms Includes cloud security tools, real-world case studies, and hands-on projects Discusses risk mitigation techniques and security best practices for cloud environments Examines real-world obstacles and solutions in cloud security adoption Analyses major cloud service providers and their security models
Artificial Intelligence
Named One of the Five Best Books on AI by The New York Times and The Wall Street Journal No technological development in recent history has generated as much excitement and terror--both utopian visions and apocalyptic nightmares--as artificial intelligence. Since generative AI and large language models exploded into our everyday lives in 2022 with the release of ChatGPT, AI has been the topic on everyone's mind. And the award-winning author and leading computer scientist Melanie Mitchell's acclaimed Artificial Intelligence: A Guide for Thinking Humans has been a touchstone for the debates. With a new preface situating the book in the context of AI's rapid progress, Artificial Intelligence offers an essential account of AI's turbulent history and an accessible explanation of the different kinds of AI: how they work, how they fail, and how they compare to human intelligence and understanding. Along the way, Mitchell introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. Raising big questions about the nature of intelligence itself, she consults with fellow experts and explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted and captivating accounts of the most interesting and provocative work in the field. This frank, lively book is an indispensable guide to understanding today's AI and its impact on the future for us all.
The Intelligence Explosion
With the rapid rise of generative artificial intelligence, both existential fears and uncritical enthusiasm for AI systems have surged. In this era of unprecedented technological growth, understanding the profound impacts of AI -- both positive and negative -- is more crucial than ever. In The Intelligence Explosion, James Barrat, a leading technology expert, equips readers with the tools to navigate the complex and often chaotic landscape of modern AI. This compelling book dives deep into the challenges posed by generative AI, exposing how tech companies have built systems that are both error-prone and impossible to fully interpret. Through insightful interviews with AI pioneers, Barrat highlights the unstable trajectory of AI development, showcasing its potential for modest benefits and catastrophic consequences. Bold, eye-opening, and essential, The Intelligence Explosion is a must-read for anyone grappling with the realities of the technological revolution.
Software Engineering: Emerging Trends and Practices in System Development
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Internet of Things and Internet of Everything and the Research Track on Cloud Computing and Data Centers held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on Internet of Things and Internet, CSCI-RTOT, received 110 submissions of which 22 papers were accepted; 21 of those are included in this volume. For the Research Track on Cloud Computing and Data Centers, CSCI-RTCC, 7 papers were accepted from 36 submissions; 6 of those are included in this volume. The papers were organized in topical sections on Internet of Things and Applications; Internet of Things - Cloud Computing, Edge Computing; Communication Strategies and Applications.
Artifiai for Aging Rehabilitation and Intelligent Assisted Living
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Signal and Image Processing, Computer Vision and Pattern Recognition, and the Research Track on Parallel and Distributed Computing held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on ignal and Image Processing, Computer Vision and Pattern Recognition, CSCI-RTPD, received 108 submissions of which 21 papers were accepted. For the Research Track on Parallel and Distributed Computing, CSCI-RTPD, 7 papers were accepted from 30 submissions. They were organized in topical sections on signal and image processing, computer vision and pattern recognition; signal and image processing, and medical applications; parallel and distributed computing, HPC and applications; and ongoing research projects and posters.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Computational Science and the Research Track on Computational Intelligence held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The 24 full papers included in this book were carefully reviewed and selected from a total of 78 submissions. The Research Track on Computational Science, CSCI-RTSC, received 78 submissions of which 17 papers were accepted; 16 of these are included in this volume. For the Research Track on Computational Intelligence, CSCI-RTCI, 10 papers were accepted from 59 submissions. The contributions were organized in topical sections on Computational Science - Frameworks, Applications, and Algorithms; Computational Science - Mathematics, Simulation, Performance Studies, Optimization and Programming; and Computational Intelligence - Optimization, Applications and Algorithms.
Research Perspectives on Software Engineering and Systems Design
This book offers a broad range of ideas from CoMeSySo 2024, highlighting theory and practice in modern computing. Researchers from diverse backgrounds present their latest findings on systems design, software engineering, and innovative problem-solving. Topics include new methods to improve modeling, testing, and optimization across various fields. This book also shows how data-driven approaches and well-structured architectures can increase reliability. These proceedings foster meaningful teamwork and shared learning by bringing together experts from many areas. Readers will gain insights into advanced techniques that can be adapted to real-world situations. Industry specialists, academic researchers, and students will benefit from the breadth of approaches. Case studies reveal common hurdles and present workable solutions for upcoming challenges. With a clear focus on advancement, this resource is an essential guide to the next steps in computational development.
Science, Engineering Management and Information Technology
Software Engineering: Emerging Trends and Practices in System Development
Computational Science and Computational Intelligence
The CCIS book constitutes selected papers accepted in the Research Track on Education of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The 26 full papers included in this book were carefully reviewed and selected from a total of 155 submissions. They were organized in topical sections on subject-specific education and curriculum design; education and artificial intelligence; teaching and learning strategies and related reserach studies.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Big Data and Data Science and the Research Track on Social Network Analysis, Social Media and Mining held as part of the International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on Big Data and Data Science, CSCI-RTBD, received 72 submissions of which 18 papers were accepted. For the Research Track on Social Network Analysis, Social Media and Mining, CSCI-RTNA, 7 papers were accepted from 41 submissions. They were organized in topical sections on Big Data and Data Science - applications and algorithms; Social Network Analysis, Social Media, and Mining; and Ongoing Research Projects and Posters.
Extended Reality
The seven-volume set LNCS 15737-15743 constitutes the proceedings of the International Conference on Extended Reality, XR Salento 2025, held in Otranto, Italy, during June 17-20, 2025.The 128 full papers presented together with 65 short papers were carefully reviewed and selected from 256 submissions. The papers are organized in the following topical sections: Part I: Virtual Reality; and Augmented and Mixed Reality.Part II: Extended Reality; and Extended Reality in Education and Learning.Part III: Transforming Research and Clinical Interventions with eXtended Reality.Part IV: Digital Twin: Innovative Approaches in Industry and Healthcare.Part V: eXtended Reality for Cultural Tourism Sustainability; eXtended Reality for Art, Design, and Entertainment; and Digital Twin and Smart Virtual Representations for Cultural Heritage.Part VI: Crafting Virtual Humans for Immersive XR Applications; and eXtended Reality for Serious Games.Part VII: Artificial Intelligence; Integrating Artificial Intelligence, Computer Vision and Augmented Reality in Computer-Assisted Intervention; and AI-Driven XR Innovations in Healthcare: Bridging Technology and Ethics.
An Intelligent User Interface to Support Air Force Weather Product Generation and Automated Metrics
Modeling Decisions for Artificial Intelligence
This book constitutes the refereed proceedings of the 22nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2025, held in Valencia, Spain, during September 15-18, 2025.The 28 full papers were carefully reviewed and selected from 58 submissions. They are organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine learning and Data science.
Information Processing in Medical Imaging
This two-volume set LNCS 15829-15830 constitutes the proceedings of the 29th International Conference on Information Processing in Medical Imaging, IPMI 2025, held on Kos, Greece, during May 25-30, 2025. The 51 full papers presented in this volume were carefully reviewed and selected from 143 submissions. They were organized in topical sections as follows: Part I: Classification/Detection; Registration; Reconstruction; Image synthesis; Image enhancement; and Segmentation.Part II: Computer-aided diagnosis/surgery; Brain; Diffusion models; Self-supervised learning; Vision-language models; Shape analysis; and Time-series image analysis.
AI Technologies for Information Systems and Management Science
This book brings together leading experts, academics, and industry professionals to explore how AI is transforming decision-making, data analytics, operations, and strategic management across diverse sectors. Dive into the cutting-edge world of artificial intelligence with AI Technologies for Information Systems and Management Science, a comprehensive book is featuring peer-reviewed research from the 7th International Conference on Information Systems and Management Science (ISMS 2024). Covering topics such as intelligent systems, machine learning integration, AI-driven process optimization, and ethical considerations, this proceedings book offers a rich blend of theoretical insights and practical applications. Whether you're a researcher, practitioner, or student, you'll find valuable perspectives on how emerging AI technologies are reshaping the foundations of modern information systems and management practices. Gain inspiration from real-world case studies, stay ahead with the latest innovations, and deepen your understanding of AI's role in driving smarter, more adaptive organizations. With contributions from global thought leaders, this book is an essential resource for anyone interested in the future of intelligent business and digital transformation. Embrace the power of AI--empowering tomorrow's systems, today.
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence
Pattern Recognition and Computer Vision in the New AI Era
While traditional approaches in pattern recognition and computer vision have continued to evolve, along with the advances of artificial intelligence (AI), this unique compendium presents recent research activities in deep learning, graph-based and semantic-based approaches and applications.The book covers the most recent advances as well as traditional topics in pattern recognition and computer vision in this new AI area in the first part. The second part presents emerging applications of deep learning and AI. This useful reference text benefits academics, professionals, researchers and graduate students in pattern recognition, computer vision, image segmentation and artificial intelligence.
Explainable AI with Python
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques. The Second Edition expands on its predecessor by addressing advancements in AI, including large language models and multimodal systems that integrate text, visual, auditory, and sensor data. It emphasizes making complex systems interpretable without sacrificing performance and provides an enhanced focus on additive models for improved interpretability. Balancing technical rigor with accessibility, the book combines theory and practical application to equip readers with the skills needed to apply explainable AI (XAI) methods effectively in real-world contexts. Features: Expansion of the "Intrinsic Explainable Models" chapter to delve deeper into generalized additive models and other intrinsic techniques, enriching the chapter with new examples and use cases for a better understanding of intrinsic XAI models. Further details in "Model-Agnostic Methods for XAI" focused on how explanations differ between the training set and the test set, including a new model to illustrate these differences more clearly and effectively. New section in "Making Science with Machine Learning and XAI" presenting a visual approach to learning the basic functions in XAI, making the concept more accessible to readers through an interactive and engaging interface. Revision in "Adversarial Machine Learning and Explainability" that includes a code review to enhance understanding and effectiveness of the concepts discussed, ensuring that code examples are up-to-date and optimized for current best practices. New chapter on "Generative Models and Large Language Models (LLM)" chapter dedicated to generative models and large language models, exploring their role in XAI and how they can be used to create richer, more interactive explanations. This chapter also covers the explainability of transformer models and privacy through generative models. New "Artificial General Intelligence and XAI" mini-chapter dedicated to exploring the implications of Artificial General Intelligence (AGI) for XAI, discussing how advancements towards AGI systems influence strategies and methodologies for XAI. Enhancements in "Explaining Deep Learning Models" features new methodologies in explaining deep learning models, further enriching the chapter with cutting-edge techniques and insights for deeper understanding.
Visual Quality Assessment and Enhancement for Natural Images
Digital images play a significant role in representing useful information; however, they may get distorted while passing through several operational stages, such as image acquisition, compression, transmission, processing, and reconstruction. Similarly, during the transmission of images, some data may be lost and the quality of the image may degrade due to bandwidth limitation. The use of distorted images in any application compromises its performance; and therefore, the identification and quantification of degradation become key issues to address in restoring the distorted images.This book covers different quality assessment techniques for natural images. It further discusses image enhancement techniques that are based on estimated quality. This book presents image quality assessment techniques for different distortions, such as poor contrast, poor illumination, noise and artifacts in deblocked images. Also presented are quality-aware techniques for image enhancement for different distortions.Review and objective questions (with answers) for each chapter will be available online as part of the supplementary material.
Lecture Notes in Deep Learning
The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.
Lecture Notes in Deep Learning
The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Cyber Warfare, Cyber Defense and Cyber Security and the Research Track on Mobile Computing, Wireless Networks and Security held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on Cyber Warfare, Cyber Defense and Cyber Security, CSCI-RTCW, received 98 submissions of which 18 papers were accepted. For the Research Track on Mobile Computing, Wireless Networks and Security, CSCI-RTMC, 7 papers were accepted from 31 submissions. They were organized in topical sections on Cyber Warfare, Cyber Defense and Cyber Security; and Mobile Computing, Wireless Networks and Security.
In Search of the Master Prompt
What if the right AI prompt could unlock your best story yet? In Search of the Master Prompt is a practical and inspiring guide for writers who want to use AI without losing their voice. Author R.A. Wilson shows how prompts can do more than generate content-they can reveal structure, deepen characters, and ignite fresh ideas.Blending clear instruction with creative insight, this book reframes AI not as a replacement for imagination but as a powerful partner in the writing process. Each chapter offers tools, examples, and exercises designed to help you think like a storyteller and prompt like a pro.Whether you're drafting your tenth novel or just beginning, this book will help you collaborate with AI in a way that keeps your creativity-and your integrity-at the center of the work.
Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life
This book is a practical, non-technical guide for business leaders, professionals, and curious minds navigating the next frontier of AI.In a world where ChatGPT took us by storm, a far more powerful revolution is now unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations - from global enterprises to agile startups - witnessing both remarkable successes and sobering failures.The question isn't whether AI agents will transform your industry - it's how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Through illuminating case studies and hands-on experiments, the authors reveal: A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy - new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunitiesHands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call "compounding intelligence advantages" - the more they're used, the smarter and more valuable they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next era of business.
Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life
'Agents are (...) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.'Bill Gates 'AI agents will become the primary way we interact with computers in the future.'Satya Nadella 'The age of agentic AI is here'Jensen Huang This book is a practical, non-technical guide for business leaders, professionals, and curious minds navigating the next frontier of AI.In a world where ChatGPT took us by storm, a far more powerful revolution is now unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations -- from global enterprises to agile startups -- witnessing both remarkable successes and sobering failures.The question isn't whether AI agents will transform your industry -- it's how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Through illuminating case studies and hands-on experiments, the authors reveal: A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy -- new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunitiesHands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call 'compounding intelligence advantages' -- the more they're used, the smarter and more valuable they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next era of business.
Optimization and Data Science in Industrial Engineering
This volume constitutes the refereed proceedings of the Second International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2024, held in Istanbul, Turkey, during November 7-8, 2024. The 25 full papers and 1 short paper included in this book were carefully reviewed and selected from 92 submissions. They were organized into topics such as: Artificial Intelligence and Expert Systems in Engineering; Digital Technologies in Healthcare Systems; Smart Supply Chain and Manufacturing Systems; Smart Transportation and Logistics Systems; Data Analytics and Advanced Optimization; and Internet and Mobile Technologies.
Human Resources Development in a Digital Age
This book leads to a transformative journey through the world of human resources development (HRD) in the digital age, where technology and innovation converge to redefine the workplace. It unveils the dynamic shifts driven by artificial intelligence (AI), data analytics, and immersive technologies, offering a roadmap to harness these advancements for organizational success. This comprehensive exploration examines the critical aspects of HRD, including learning and development, engagement, competencies, organizational culture, and other important topics. Through engaging insights and real-world examples, the book highlights how AI personalizes learning experiences and enhances decision-making processes. It also addresses the ethical considerations of adopting digital tools, emphasizing data privacy, fairness, and the human element in technology-driven strategies. From overcoming the digital divide to fostering a culture of continuous learning, this book equips readers with the knowledge to navigate challenges and seize opportunities in a rapidly evolving landscape. This book is an essential resource for HR professionals, organizational leaders, professors and students, and anyone seeking to future-proof their workforce and drive sustainable growth. It redefines the HR strategy and embraces the limitless potential of digital transformation with this groundbreaking book.
