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This book contains a series of revised papers selected from 7 workshops organized by 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021, which was held in September 2021 in Bari, Italy. The 15 papers included in this volume were carefully reviewed and selected from 30 submissions. They show the design of interactive technologies addressing one or more United Nations'Sustainable Development Goals, to deal with evolving contexts of use in today's and future application domains and its influence on human-centered socio-technical system design and devel-opment practice, share educational resources and approaches to support the process of teaching and learning HCI Engineering (HCI-E), share educational resources and approaches to support the process of teaching and learning HCI Engineering (HCI-E), and address and discuss geopolitical issues in Human-Computer Interaction as a field of knowledge and practice.Chapter “Extreme Citizen Science Contributions to the Sustainable Development Goals: Challenges and Opportunities for a Human-Centred Design Approach” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

In a rapidly evolving technological landscape, the integration of antenna technologies, electronics, and artificial intelligence (AI) poses a significant challenge: the complexity of these converging domains often surpasses the capacity of traditional educational resources and has been an area of research that is largely understudied. This creates a challenge for researchers attempting to gain a full understanding of the issue, as the lack of cohesive literature that bridges the gaps between these disciplines is significant. Researchers, engineers, and enthusiasts are hampered in their efforts to grasp the full potential of this convergence. Convergence of Antenna Technologies, Electronics, and AI offers a unique perspective to this problem by synthesizing the fundamental principles, cutting-edge advancements, and practical applications of these interconnected domains. This book serves as a comprehensive guide for navigating the complexities of this multidisciplinary frontier. It provides a cohesive framework that not only elucidates the interconnections between antennas, electronics, and AI but also empowers readers to leverage this knowledge in developing transformative innovations. Through its exploration of foundational principles, contemporary challenges, and future trajectories, this book inspires readers to envision and shape a future where seamless connectivity and intelligent systems redefine the boundaries of what is possible. This book catalyzes the next wave of innovation in communication, connectivity, and smart systems by offering a nuanced understanding of the convergence of technologies using antenna, and artificial intelligence.

This book gathers selected high-quality full-text papers presented at the VI International Scientific and Practical Conference on Information Technology for Education, Science and Technics (ITEST 2022). The book deals with issues related to mathematical and computer modeling of physical, chemical, and economic processes, with information security, as well as the use of information and communication technology in scientific research, automation of technological processes, and management of complex systems. In this book, the authors explore various aspects of the development of information technology and systems and its application in education, science, engineering, economics, and management. A part of the book is devoted to the application of information and communication technology in higher education, in particular, the creation and implementation of scientific and educational resources in higher education institutions as part of the process of education digital transformation.

This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine. Once an esoteric subject known to few outside of computer science and engineering departments, today artificial intelligence (AI) is a widely popular technology used by scholars from all across the academic universe. In particular, recent years have seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences, evidenced by the rapid growth in the number of articles published on the topic in peer-reviewed medical journals over the last decade. The demand for high-quality educational resources in this area has never been greater than it is today, and will only continue to grow at a rapid pace. Expert authors remove the veil of unnecessary complexity that often surrounds machine learning and deep learning by employing a narrative style that emphasizes intuition in place of abstract mathematical formalisms, allowing them to strike a delicate balance between practicality and theoretical rigor in service of facilitating the reader's learning experience. Topics covered in the book include: mathematical encoding of medical data, linear regression and classification, nonlinear feature engineering, deep learning, convolutional and recurrent neural networks, and reinforcement learning. Each chapter ends with a collection of exercises for readers to practice and test their knowledge. This is an ideal introduction for medical students, professionals, and researchers interested in learning more about machine learning and deep learning. Readers who have taken at least one introductory mathematics course at the undergraduate-level (e.g., biostatistics or calculus) will be well-equipped to use this book without needing any additional prerequisites.

This book constitutes the refereed proceedings of the 12th International Conference on Modern Information Technology and IT Education, held in Moscow, Russia, in November 2017. The 30 papers presented were carefully reviewed and selected from 126 submissions. The papers are organized according to the following topics: IT-education: methodology, methodological support; e-learning and IT in education; educational resources and best practices of IT-education; research and development in the field of new IT and their applications; scientific software in education and science; school education in computer science and ICT; economic informatics.

This book constitutes the refereed proceedings of the 13th International Conference on Modern Information Technology and IT Education, held in Moscow, Russia, in November-December 2018. The 30 full papers and 1 short papers were carefully reviewed and selected from 164 submissions. The papers are organized according to the following topics: IT-education: methodology, methodological support; e-learning and IT in education; educational resources and best practices of IT-education; research and development in the field of new IT and their applications; scientific software in education and science; school education in computer science and ICT; economic informatics.

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

This book constitutes the proceedings of the 16th International Conference on Web-Based Learning, ICWL 2017, held in Cape Town, South Africa, in September 2017. The 13 revised full papers presented together with 9 short papers and 3 poster papers were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on Inquiry-Based Learning and Gamification; Learning Analytics; Social Media and Web 2.0-based Learning Environments; Assessment and Accessibility in Higher Education; Open Educational Resources and Recommender Systems; and Practice and Experience Sharing.

This book constitutes the refereed proceedings of the 8th European Conference on Technology Enhanced Learning, EC-TEL 2013, held in Paphos, Cyprus, in September 2013. The 31 full papers, 18 short papers, 14 demonstrations and 29 posters presented were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections. The topics addressed include open educational resources (OER), massive open online courses (MOOC), schools of the future, orchestration of learning activities, learning networks, teacher networks, bring your own device (BYOD), social media, learning analytics, personalization, mobile learning, computer-supported collaborative learning, game-based and simulation-based learning, and learning design.

AI-Generated Content (AIGC) is a revolutionary engine for digital content generation. In the area of art, AI has achieved remarkable advancements. AI is capable of not only creating paintings or music comparable to human masterpieces, but it also understands and appreciates artwork. For professionals and amateurs, AI is an enabling tool and an opportunity to enjoy a new world of art.This book aims to present the state-of-the-art AI technologies for art creation, understanding, and evaluation. The contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI-enabled robotic theater for Chinese folk art, AI for ancient Chinese music restoration and reproduction, AI for brainwave opera, artistic text style transfer, data-driven automatic choreography, Human-AI collaborative sketching, personalized music recommendation and generation based on emotion and memory (MemoMusic), understanding music and emotion from the brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation.The key features of the book are as follows: AI for Art is a fascinating cross-disciplinary field for the academic community as well as the public. Each chapter is an independent interesting topic, which provides an entry for corresponding readers. It presents SOTA AI technologies for art creation and understanding. The artistry and appreciation of the book is wide-ranging – for example, the combination of AI with traditional Chinese art. This book is dedicated to the international cross-disciplinary AI Art community: professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognitive science, and psychology. General audiences can also benefit from this book.

Renowned ethicist provides essential guide to successfully navigating the future AI landscapeIn Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence—a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities.From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI's dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing visionary policies to safeguard our society. AI will positively impact our lives in myriad ways: from healthcare to education, manufacturing to sustainability, AI-powered tools will improve productivity and add ease to the most massive global industries and to our own personal daily routines alike. But, we have already witnessed the tip of the iceberg when it comes to the risks of this new technology: AI algorithms can manipulate human behavior, spread disinformation, shape public opinion, and impact democratic processes. Sophisticated technologies such as GPT-4, Dall-E 2, and video Deepfakes allow users to create, distort, and alter information. Perhaps more troubling is the foundational lack of transparency in both the utilization and design of AI models. What ethical precepts should be determined for AI, and by whom? And what will happen if rogue abusers decide not to comply with such ethical guidelines? How should we enforce these precepts? Should the UN develop a Charter or Accord which all member states agree to and sign off on? Should governments develop a form of international regulative body similar to the International Atomic Energy Agency (IAEA) which regulates not only the use of nuclear energy, but nuclear weaponry as well?In this incisive and cogent meditation on the future of AI, DiCarlo argues for the ethical governance of AI by identifying the key components, obstacles, and points of progress gained so far by the global community, and by putting forth thoughtful and measured policies to regulate this dangerous technology.

Special education encounters distinct challenges in delivering personalized and practical assistance to students with disabilities. Educators frequently require support to address the varied needs of these students, resulting in learning and development gaps. Moreover, early identification and catering to these needs can take time and effort, affecting students'long-term academic success. There is an urgent need for innovative solutions that can bridge these gaps and improve the educational experiences of students with disabilities. Transforming Special Education Through Artificial Intelligence offers a comprehensive exploration of how Artificial Intelligence (AI) can transform special education by providing personalized and individualized support for students with disabilities. Through case studies and real-life examples, we demonstrate how AI can analyze data to tailor learning experiences, and most importantly, identify learning difficulties early. This crucial aspect of AI can significantly enhance communication among stakeholders and reassure them about the potential of AI in improving educational outcomes for students with disabilities. It provides educators, policymakers, and other stakeholders with the knowledge and tools to integrate AI into special education programs effectively. By fostering a deeper understanding of the opportunities and challenges presented by AI in special education, this book empowers educators to make informed decisions and ensure that all students have access to the resources and support they need to succeed academically and personally.

'As artificial intelligence (AI) transforms human resources (HR), its integration brings both opportunities and ethical challenges. AI can enhance recruitment, performance evaluation, and employee engagement. However, without careful oversight, it risks perpetuating biases, compromising privacy, and reducing transparency. It's crucial for HR professionals and organizations to adopt a responsible approach, ensuring that AI aligns with values of fairness, accountability, and respect for individual rights. Human Resource Strategies in the Era of Artificial Intelligence elucidates how AI technologies can be strategically integrated into HR functions to enhance organizational performance and employee well-being. This book offers essential ethical frameworks, guidelines, and best practices for integrating AI into HR. Aimed at HR professionals, researchers, policymakers, and technology developers, it provides the insights needed to responsibly navigate AI's complexities in the workplace, promoting ethical AI adoption and safeguarding the integrity of HR practices.'--

This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture—often termed the inflection point—in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital transformation to what is being progressively understood as'generative transformation,” it fills a conspicuous lacuna in both academic and practical discourses by presenting a timely synthesis of research, empirical studies, and case analyses. The authors utilize an interdisciplinary methodology, bridging the epistemological divide between the technological intricacies of generative AI and its effective implementation within institutional frameworks. Reorienting the focus of organizational leaders from a simplistic replacement paradigm to one of technological-human augmentation, it works toward a prescriptive blueprint for enabling organizations to adopt generative AI without compromising their most valuable asset: human intellectual and emotional capital. Fostering interdisciplinary dialog among academics, industry professionals, and policymakers, it fills a critical gap in current discourses and serves as a catalyst for future research and collaboration.

The second volume of open access essays builds upon the success of the initial installment,'The Economics of Big Science (© 2021, 978-3-030-52390-9, Open Access book as well),'delving deeper into the tangible socio-economic value generated by fundamental science missions and elucidating the various ways in which this benefit is realized. This collection showcases contributions that stem from socio-economic impact studies conducted on the activities of Research Infrastructures. These studies were presented and discussed by the authors during a dedicated session on the'Economics of Big Science'at the headquarters of the European Space Agency (ESA) in Paris in May 2023, organized by EIROforum. The authors, affiliated with prominent universities, research centers, and international research organizations, actively contribute to an international collaborative effort. Their aim is to develop strategies and policies that ensure fundamental scientific research in Europe translates into tangible and sustainable societal and economic benefits. This volume is intended to be a valuable resource for policymakers, funding agencies, scientists, and academics across diverse domains. It serves as a comprehensive reference for the evidence of socio-economic impact stemming from fundamental scientific research within Open Science, Research, and Innovation environments. Moreover, it equips stakeholders with evidence supporting the effectiveness of impact analysis and facilitates the design of best practices in this regard.

Today's research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. Through interdisciplinary perspectives and evidence-based practices, Navigating AI in Academic Libraries: Implications for Academic Research fosters collaboration and empowers scholars to leverage AI technologies responsibly and effectively. By offering insights into effective instructional strategies and the impact of AI on traditional research methods, the book provides a roadmap for scholars to thrive in an increasingly AI-driven academic landscape. With its holistic approach and practical guidance, this volume emerges as an indispensable resource for scholars navigating the complexities of AI integration and shaping the future of scholarly research.

Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential. With contributions from leading experts in the field, this book covers a wide range of topics, including algorithmic challenges, use cases in various industries, security concerns, and future trends. Whether you're a business leader looking to enhance customer engagement or a researcher exploring the frontiers of AI, this book offers a comprehensive and insightful exploration of ChatGPT and its impact on the future of business.

With the exponential growth of science and technology, the delivery of dental care has shifted from conventional methods to intelligent techniques. In addition to adapting intelligent techniques, sustainable dental practice is of the utmost importance. Eco-friendly dentistry, sustainable dentistry, or green dentistry are approaches that reduce the environmental impact of dental practice and help safeguard planetary and community well-being. This handbook provides the latest and most comprehensive evidence-based guidance on intelligent and sustainable approaches in dentistry.Handbook of Intelligent and Sustainable Smart Dentistry: Nature and Bio-Inspired Approaches, Processes, Materials, and Manufacturing highlights how Dentistry 4.0 has come to the rescue after COVID-19 and how it has helped in providing needed e-healthcare. This handbook bridges the gap between research and development in the field of smart dentistry for professionals and clinicians. Intelligent materials, equipment, instrumentation, and the latest behavior management techniques and how these techniques provide superior care and treatment to society are explored in detail. The scope of nature-inspired techniques and procession, along with green solutions, are also discussed in this one-of-a-kind handbook.This valuable handbook is a single-stop solution for practitioners, researchers, scholars, students, academicians, and clinicians interested in updating their knowledge on intelligent and sustainable dentistry. The handbook will bestow the readers with not only theoretical knowledge but will equip them with clinical skills as well.

This book covers diverse areas of fuzzy logic, soft computing, and AI approaches such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of soft computing, decision theory with imperfect information, neuro-fuzzy technology, intelligent control, machine learning, evolutionary computing, fuzzy logic, and soft computing in engineering, industry, social sciences, business, economics, earth sciences, material sciences, and others. This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2023, held in Antalya, Turkey, on September 14–15, 2023. This will be a useful guide for academics, practitioners, and graduates in fields of fuzzy systems and soft computing. It would allow for attracting of interest in development and applying of these paradigms in various real fields.

This volume of Lecture Notes in Networks and Systems contains accepted papers presented at the 17th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2024) and the 15th International Conference on EUropean Transnational Education (ICEUTE 2024), which were held in the beautiful city of Salamanca, Spain, in October 2024. The aim of the CISIS 2024 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behavior by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After peer review, the CISIS 2024 International Program Committee selected 24 papers for publication in these conference proceedings. In this edition, one special session was organized: Artificial Intelligence for Protecting the Internet of Things. The aim of ICEUTE 2024 conference is to offer a stimulating and fruitful meeting point for people working on transnational education within Europe. It provides an exciting forum for presenting and discussing the latest works and advances in transnational education within European countries. In the case of ICEUTE 2024, the International Program Committee selected nine papers, which are also published in these conference proceedings. The selection of papers was extremely rigorous to maintain the high quality of the conferences. We deeply appreciate the hard work and dedication of the members of the Program Committees during the reviewing process. Their contributions are integral to the creation of a high-standard conference; the CISIS and ICEUTE conferences would not exist without their help.

The book aims to provide up-to-date research on the emerging technologies and applications in Industry 5.0, challenges and emerging trends in Industry 5.0 and the role of Industry 5.0 in sustainable economy. Industry 5.0 is a new production model where the focus lies in the interaction between humans and machines. Industry 5.0 takes the next step, which involves leveraging the collaboration between increasingly powerful and accurate machinery and the unique creative potential of the human being. Industry 5.0 is characterized by going beyond producing goods and services for profit. It shifts the focus from the shareholder value to stakeholder value and reinforces the role and the contribution of industry to society. Industry 5.0 is the future and already an emerging trend: the interaction and collaboration between man and machine. It places the well being of the worker at the center of the production process and uses new technologies to provide prosperity beyond jobs and growth while respecting the production limits of the planet. It complements the existing'Industry 4.0'approach by specifically putting research and innovation at the service of the transition to a sustainable, human-centric and resilient European industry. Industry 5.0 brings benefits for industry, for workers and for society. But making Industry 5.0 a reality is not just a nice thing to do. Industries must adapt, evolve and embrace the green and digital transitions to continue to be competitive and remain engines of prosperity. Industries must play an active role in providing solutions to challenges in society including the preservation of resources, climate change and social stability.

Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problemsGenerating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablersCompressing AI models so that computational, memory, storage, and network requirements can be substantially reducedAddressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous dataOvercoming cyberattacks on mission-critical software systems by leveraging federated learning Written in an accessible manner and containing a helpful mix of both theoretical concepts and practical applications, Model Optimization Methods for Efficient and Edge AI is an essential reference on the subject for graduate and postgraduate students, researchers, IT professionals, and business leaders.

As artificial intelligence (AI) rapidly transforms education, tools like ChatGPT and Claude are revolutionizing the way we teach and learn. This book is a groundbreaking book that empowers parents and students to navigate this exciting new frontier, filling a critical gap in the current literature. As the first comprehensive guide to generative AI in education designed for parents and students, Generative AI in Education is positioned to become an indispensable resource. It provides the knowledge and strategies needed to effectively integrate AI into their learning journeys, transforming educational outcomes and preparing students for success in a rapidly changing world. You'll gain a deep understanding of how tools like ChatGPT and Claude work, and how they can be leveraged to support learning across various subjects and grade levels. You'll then see how to create clear, specific, and engaging prompts that elicit valuable responses from AI-powered tools. This book contains all the techniques for tailoring prompts to different learning objectives, styles, and contexts, and how they can use AI tools to support reading comprehension, writing skills, problem-solving, and creative thinking. What You Will Learn Apply generative AI in education Craft effective prompts for personalized learning experiences Utilize AI tools to support learning, creativity, and problem-solving Who This Book is For Parents and students who are eager to harness the power of generative AI to enhance learning experiences and prepare for success in an AI-driven future

This book aims to explore the intersection of AI, technology education, and computer science with sustainable business practices. It delves into the application of cutting-edge technologies such as artificial intelligence, machine learning, and blockchain in various business domains, including healthcare, education, government services, and digital transformation.

This book constitutes the proceedings of the Second refereed proceedings of the Second International Conference on Data Science and Artificial Intelligence, DSAI 2024, held in Medan, Indonesia, during November 13–15, 2024. The 18 full papers, 2 short papers and 3 invited talks were included in this book were carefully reviewed and selected from 69 submissions. They are organized in the following topical sections: Keynote Presentations; Natural and Sign Language Processing; Applications of Data Science and Artificial Intelligence; Affective Computing and AI Games; Embedded AI and Applications; Data Science; AI and Healthcare.

This book presents the proceedings of the 24th International Conference Professional Culture of the Specialist of the Future. Professionals and experts in all fields need to be prepared to handle unfamiliar situations. Some of these are unexpected events that may occur quite suddenly out of the blue, and others may emerge in the course of technological development or predicted trends. In order to successfully confront the future, professionals therefore need to engage in hypothetical thinking as they entertain concrete scenarios or fictitious possibilities. Scientists and engineers lead the way when they employ thought experiments and systematically consider alternative realities. Educators come up with creative approaches to foster the “art of the as-if.” This highly interdisciplinary collection of 50 papers discusses the theoretical challenge of hypothetical thinking and presents practical strategies for its promotion.

New technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create. The Learning Ideas Conference 2024 was the 17th annual conference and was held as a hybrid event. The conference took place from June 12th-14th, 2024, both in New York and online, and included the ALICE (Adaptive Learning via Interactive, Collaborative and Emotional Approaches) Special Track, and a Special Session from IGIP, the International Society for Engineering Pedagogy. Topics covered in this book include, among others: uses of artificial intelligence in learning, online learning methodologies, case studies in university and corporate settings, new technologies in learning (such as, along with AI, virtual reality, augmented reality, holograms, and more), adaptive learning, and project-based learning. The papers included in this book may be of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.

This book aims at bringing together academic and industry, researchers in mechanical engineering and their worldwide partners in a stimulating environment. ISIEA is an annual event that takes place in Bolzano and is organized by the Industrial Engineering and Automation macro-area of the Free University of Bozen/Bolzano. The main theme of the 2024 edition covers all major areas of R&D and innovation in advanced mechanical engineering. Special sessions on tribology and materials, modeling and simulations, powertrains, applied mechanics and robotics have been presented. Special track related to life and efficiency of bearings; cycloidal speed reducers; multi-physics modeling approaches; infrared thermography; planning and control of robotic and mechatronic systems; mobile field robotics; formulations and applications of structural and multibody dynamics; innovative solutions for safer and more sustainable mobility; artificial intelligence in manufacturing and mechanical engineering; advancements in aerospace technologies; innovative engineering education; SME 5.0: intelligent, sustainable and human-centered SMEs have been presented.

The book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cybersecurity, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of artificial intelligence engineering.

This book presents a groundbreaking exploration into the dynamic synergy between artificial intelligence and business development. Titled'AI Integration for Business Development: Navigating Opportunities, Unleashing Potential, Managing Risks,'it serves as an indispensable guide for leaders and visionaries aiming to harness the transformative power of AI. The book introduces a comprehensive journey that unveils the strategic integration of AI into business development strategies. This book shows how to navigate a myriad of opportunities, strategically unleash untapped potential, and adeptly manage risks in the ever-evolving landscape of artificial intelligence. Through meticulous insights, real-world examples, and actionable strategies, readers gain the knowledge to make informed decisions and drive competitive advantage. This book presents not only a roadmap for identifying lucrative opportunities but also a blueprint for unlocking the full potential of AI technologies. Whether you are a seasoned executive, entrepreneur, or decision-maker, this book empowers you to proactively manage risks inherent in AI adoption, ensuring resilience and adaptability in your business model. Discover how to stay ahead in the rapidly changing business landscape, shaping the future of your business development initiatives. This book is your indispensable companion, offering profound insights into AI integration and empowering you to seize the transformative potential of AI. This book is your key to charting a course toward sustained success and innovation in the dynamic world of modern business.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potentialKey FeaturesGain in-depth insight into LLMs, from architecture through to deploymentLearn through practical insights into real-world case studies and optimization techniquesGet a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEver wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications. You'll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You'll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You'll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP. By the end of this book, you'll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.What you will learnExplore the architecture and components of contemporary LLMsExamine how LLMs reach decisions and navigate their decision-making processImplement and oversee LLMs effectively within your organizationMaster dataset preparation and the training process for LLMsHone your skills in fine-tuning LLMs for targeted NLP tasksFormulate strategies for the thorough testing and evaluation of LLMsDiscover the challenges associated with deploying LLMs in production environmentsDevelop effective strategies for integrating LLMs into existing systemsWho this book is forIf you're a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

This book contains a collection of research that discusses the latest ideas, applications, and technology related to smart systems, including medical applications, business intelligence, and intelligent-based education. In addition to some papers that shows how is artificial intelligence technologies deals with some problems related to environmental and sustainability.

This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.

This book delves into the dynamic synergy between AI and IoT, offering a comprehensive exploration of their transformative potential. With a keen eye on the present and future landscapes, this book navigates through real-world applications, showcasing how AI enriches IoT ecosystems, amplifying their capabilities across diverse sectors. From smart homes and cities to industrial automation and healthcare, each chapter unfolds compelling case studies illustrating how AI augments IoT devices to optimize processes, enhance decision-making, and drive innovation. As the technological horizon expands, the book anticipates emerging trends, paving the way for readers to grasp the profound impact AI will continue to wield on the IoT landscape. Whether you're a seasoned professional or an enthusiast curious about the intersection of AI and IoT, this book offers invaluable insights into the boundless opportunities that await in today's interconnected world and the possibilities that lie ahead.

The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud. The proceedings compiles the selected research papers presented at ICE-TEAS 2024 Conference held at Jaipur Engineering College and Research Centre, Jaipur, India, during March 15–17, 2024. The book focuses on expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security, and intelligence; and advances in web technologies: implementation and security issues.

This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology. With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production. Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book. The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.

The two-volume set LNCS 15159 and 15160 constitutes the proceedings of 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, which took place in Krems, Austria, in September 2024. The 37 full papers, 25 poster papers, and 10 demo papers presented in the proceedings were carefully reviewed and selected from 140 submissions for research papers, and 26 poster and 19 demo submissions. They focus on effective technology adoption in educational settings, ethical concerns, and the possible digital divide these technologies could create. The theme for the 2024 conference aimed to explore the role of Technology-Enhanced Learning (TEL) in this critical context and in achieving the United Nations'Sustainable Development Goal for education: “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.”

This book presents high-quality research in the field of 3D imaging technology. The fifth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first four editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends such as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images, and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

This book offers a fresh approach to harnessing the power of artificial intelligence and digital technologies to drive growth and success. With a wide-ranging scope that covers various industries and sectors, this book provides invaluable insights and practical guidance for individuals and organizations seeking to thrive in a rapidly evolving business landscape. Designed for business professionals, entrepreneurs, and marketing enthusiasts, this book unlocks the potential of AI and digitalization, offering key strategies and real-world examples to transform your business and stay ahead of the competition. Whether you're looking to optimize customer experiences, leverage data analytics, or streamline operations, this book is your ultimate resource for achieving sustainable business development through cutting-edge technologies.

The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use. Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare. This book is not just a theoretical exploration but a practical guide for all stakeholders in the healthcare industry. It offers frameworks for integrating generative AI responsibly, ensuring that ethical considerations and regulatory requirements are met. By providing real-world case studies, educational initiatives, and future trend analyses, this book equips readers with the knowledge and tools needed to navigate the complexities of AI integration in healthcare, ultimately leading to improved patient outcomes and a more efficient healthcare system.

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures.Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.

This book presents volume 1 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA'24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice.

From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key FeaturesExplore AI's role in web development, from shaping projects to architecting solutionsMaster advanced AI strategies to build cutting-edge applicationsAnticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience. The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape. Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain.What you will learnBuild AI-powered web projects with optimized modelsPersonalize UX dynamically with AI, NLP, chatbots, and recommendationsExplore AI coding assistants and other tools for advanced web developmentCraft data-driven, personalized experiences using pattern recognitionArchitect effective AI solutions while exploring the future of web developmentBuild secure and ethical AI applications following TRiSM best practicesExplore cutting-edge AI and web development trendsWho this book is forThis book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.

This book constitutes the refereed conference proceedings of the First Workshop on Artificial Intelligence with and for Learning Sciences - Past, Present, and Future Horizons, WAILS 2024, held in Salerno, Italy, during January 18-19, 2024. The 14 full papers and 5 short papers presented in this book were carefully reviewed. The contributions present and discuss previous achievements, current challenges and solutions, and future perspectives concerned with the adoption of artificial intelligence methods and techniques in the context of learning sciences.

The two-volume LNCS set 14813 and 14814 constitutes the refereed proceedings of the 24th International Conference on Computational Science and Its Applications, ICCSA 2024, held in Hanoi, Vietnam, during July 1–4, 2024. The 53 full papers, 6 short papers and 3 PHD showcase papers included in these volumes were carefully reviewed and selected from a total of 207 submissions. The papers focus on the following six sub-areas within Computer Science and its Applications: Computational Methods, Algorithms and Scientific Applications; High Performance Computing and Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications; Information Systems and Technologies & Urban and Regional Planning.

This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–-3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 2 for this conference proceedings, which consists of a 3-volume book series.

This book introduces various techniques of educational technology, blending theory with real-world applications, making it an essential tool for a wide range of readers. Different innovative methods covered in this book enhance its usefulness in education administration and management. The content of the book covers chapters both for the beginners and experts, serving as a key reference for educators and administrators. This book serves as a source of fresh ideas for researchers exploring the evolving aspects of educational technology and administration. This book's wide range of coverage highlights its importance in the education sector, offering new insights and practical solutions that cater to the needs of today's diverse learning settings. By bridging the gap between theory and practice, it facilitates a deeper understanding of the shifting paradigms in education, driven by technological progress and a shift towards more learner-centred models.