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This book offers a multidisciplinary perspective on the ways in which the careful integration of AI might enhance learning outcomes. By inviting dialogue between engineering (what is possible) and pedagogy (what might be desirable), the book offers a holistic view of AI's potential for education. Offering both case studies of practical implementation and pedagogically informed frameworks, it focuses on appropriately integrating technology for educational benefit, presenting a uniquely broad view. The contributors, who are both educators and technically proficient, bring insights into teaching and assessment approaches, research questions, and technological affordances or constraints. Essential for researchers, educators, and policymakers navigating the rapidly evolving educational technology landscape as AI becomes increasingly prevalent in every aspect of life.

This book constitutes the refereed proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024. The 10 full papers and 8 short papers in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: wearable and sensor-based data for human performance and interaction; mobile user experience, motivation, and behavior; medical and cognitive health applications; image, video, and multimedia processing; software and system intelligence.

Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management. It also benefits data scientists, engineers, policymakers, and professionals in the pharmaceutical and biotechnology industries. Graduate students interested in healthcare and technology will find accessible information on the latest developments in AI-driven approaches to AD detection and prediction.

The seven-volume set CCIS 2114-2120 contains the extended abstracts of the posters presented during the 26th International Conference on Human-Computer Interaction, HCII 2024, held in Washington, DC, USA, during June 29–July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings were carefully reviewed and selected from 5108 submissions. The posters presented in these seven volumes are organized in the following topical sections: Part I: HCI Design Theories, Methods, Tools and Case Studies; User Experience Evaluation Methods and Case Studies; Emotions in HCI; Human Robot Interaction. Part II: Inclusive Designs and Applications; Aging and Technology. Part III: eXtended Reality and the Metaverse; Interacting with Cultural Heritage, Art and Creativity. Part IV: HCI in Learning and Education; HCI in Games. Part V: HCI in Business and Marketing; HCI in Mobility and Automated Driving; HCI in Psychotherapy and Mental Health. Part VI: Interacting with the Web, Social Media and Digital Services; Interaction in the Museum; HCI in Healthcare. Part VII: AI Algorithms and Tools in HCI; Interacting with Large Language Models and Generative AI; Interacting in Intelligent Environments; HCI in Complex Industrial Environments.

This book constitutes the refereed proceedings of the Second Summit on Music Intelligence, SOMI 2023, held in Beijing, China, during October 28–30, 2023.The 10 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Music, Neural Science and Music Therapy, Multimodality in Music and Music Generation.

This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2023), held at Technical University of Sofia, Sofia, Bulgaria, during 6–8 July 2023. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images, and many more.

This book provides insights of World Conference on Smart Trends in Systems, Security, and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Healthcare systems globally are grappling with how best to implement effective and efficient patient-centred care while simultaneously trying to contain runaway costs and provide high quality. This book explores the essential enabling role of digital health, taking a socio-technical perspective and looking at the key facets of technology, people and process in turn.This book examines the opportunities of key digital health components, demystifying digital health and demonstrating how to use its key precepts effectively. The book presents evidence and anecdotes from stakeholders around the world, demonstrating the global relevance and the ability of digital health to uplift and upskill care delivery as it is applied commercially. Bridging academic theory and practice, this is a functional and accessible text for all digital health stakeholders.The text introduces critical issues and is suitable reading for students, practitioners and researchers in digital health and all healthcare-related domains.

The Mental Health of Gifted Intelligent Machines explores the increasingly sophisticated behaviours of developing AI and how we can ensure it will have emotional resilience, ethical strength and an ability to think in a new and enhanced way. Its primary aim is to change how we understand the world by investigating humanity as an intelligent being, examining and contrasting human and artificial intelligence.The book considers what we can learn from the likely mental health issues that will occur with increasingly sophisticated aspects of machine intelligence and how they will reflect the human condition. It asks questions about our identity in a deeply uncertain and disruptive ever-changing world; how we will improve and enhance our psychological intelligence to meet the increasing complications and demands of the future; and what we need to do, now, to be psychologically intelligent enough to live a full meaningful life in a new world evolving around us. The book argues that changes in our understanding of mental health, psychology and our view of intelligence will challenge huge aspects of our fundamental beliefs and assumptions and that it is essential we explore new arenas to further understand both our own human psychological issues and mental health as we develop gifted intelligent machines.It is a must read for all students, researchers and professionals involved with AI, gifted education, consciousness and mental health.

This comprehensive and authoritative reference presents the state-of-the-art computational methods applied to the field of neurosurgery. The book brings together leading neuroscientists, neurosurgeons, mathematicians, computer scientists, engineers, ethicists and lawyers, to open the new frontier of computational neurosurgery to a broad audience interested in the translational field of the application of computational models, such as deep learning, to the study of the brain and the practical applications of neurosurgery. The focus is primarily clinical, and there is a solid foundation of research aspects. With forewords by Michael L.J. Apuzzo and Enrico Coiera, the book is organized into 2 sections: (1) tenets of computational modeling, artificial intelligence, computational analysis, and analysis software; (2) computational neurosurgery applications, including neurodiagnostics, neuro-oncology, vascular neurosurgery, all the neurosurgical disciplines, surgical approaches, intraoperative applications, and ethics and legal aspects.

This volume constitutes the refereed proceedings of the 7th International Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 17 full papers presented here were carefully reviewed and selected from 22 submissions. These papers focus on the current, cutting-edge Predictive models and methods with applications in the field of Medical data analysis, for early disease prediction and prevention.

This book publishes the reviewed and revised texts of the papers delivered at the Eleventh International Conference on Design Computing – DCC'24 held at Concordia University in Montreal, Canada. These papers span the range of design research from artificial intelligence, cognitive science, cognitive neuroscience to computational theories applies to design. The papers are published in two volumes and are grouped under the following headings: Design Processes, Design Creativity, Design Cognition, Shape and Form, Design Technology, AI and Design, Design and Brain Behaviors, and Design AI Applications. These two volumes form an archival record of current cutting-edge research studying design scientifically. They demonstrate the range of approaches being used to characterize designing as a process. At the same time they show that there is a commonality in designing independent of design discipline. These volumes will be of interest to design researchers in both academia and industry and to anyone who needs to obtain a better understanding of designing.

This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05), organized in India, during 29 February to 1 March, 2024. The conference was hosted at SMVDU, Katra, J&K, India. It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA•AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc.The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI's application in service industries during the COVID-19 era.This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023.The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.

The Nazi's never surrendered and planned their 4th Reich using neurocognitive weapons. Going underground their technology made it's way to S. America, the Soviet Union, the United States, among other places. We all are bound by the new rules of corporate fascism, long planned by Himmler, and his main strategy for a 4th Reich, financial control. Are we all just living in a computer-controlled information battlespace continued from World War II? This book dissects the matrix of control used by advanced military industrial powers; it breaks down the technology bit by bit so you have an understanding how technology is being used in a battle for your mind. I address these issues from a veteran's insight as a former Signal Intelligence specialist and with some background in the Intelligence Community, I bring forth countermeasures to this control, showing you how you can safeguard your mind from these attacks. Countermeasures that are not available anywhere in the commercial world, yet without them you will be easy prey for these directed targeted pulse modulated attacks first used by the Nazis.

By 2027, it had been seven years since the scientists'sea-changing research on artificial psychology and robotics. The work debuted around the same time as Large Language Model Chatbots, and the power of the integration of the two technologies put many industries in a tailspin. The commercial and defense industries especially were still scrambling to regulate their use in research and universities. The sought-after scientists signed with DARPA to build reliable and secure AI entities, but the agency grew fearful of the technology's power and ultimately decided it was too dangerous to bring to market and demanded the scientists destroy the work. The researchers couldn't bring themselves to discard 20 years of research, so instead sent the entities to various research labs around the world. But unbeknownst to them, each AI-entity embraced its new home, growing, adapting, evolving, and ultimately connecting beyond what the researchers could envision. In the end, asthe scientists catch up to each one, they realize the entities have discovered a very human means of interacting: the power of physical contact; and not physical contact between humans and technology, but physical contact between robotic entities. And with this discovery, the entities join forces to only grow stronger. This development ushers in a new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it's not hard to envision.

This book constitutes the refereed proceedings of the 22nd International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 2024. The 26 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. The PAAMS 2024 proceedings focus on the development and deployment of agents and multi-agent systems and their real-world applications.

The field of Human-Robot Interaction (HRI) is rapidly evolving, blurring the lines between human and machine capabilities. Recent advances in computer science, computer vision, artificial intelligence, robotics, brain-computer interfaces, neural engineering, and cognitive science have profoundly transformed HRI. As we stand on the threshold of a new era characterized by increasingly sophisticated human-machine interactions, it becomes imperative to explore the emerging frontiers of this dynamic field. Robots are now entering homes, workplaces, and even battlefields, necessitating a deeper understanding of effective, safe, and ethical human-robot interaction. This book delves into cutting-edge research shaping the future of HRI, representing a collective effort to navigate uncharted territories. Through diverse chapters authored by leading experts, it offers a comprehensive exploration of the latest developments, challenges, and opportunities in HRI. By examining technical, engineering, and methodological challenges, this volume brings together perspectives from researchers, engineers, and designers to provide a comprehensive view of this dynamic field. Aiming to showcase groundbreaking research and spark interdisciplinary dialogue and collaboration, this book is a valuable resource for researchers, engineers, students, and anyone interested in the future of human-robot collaboration. Whether you are a seasoned roboticist, a curious student, or simply interested in future technology, this book offers insights and knowledge to navigate the complex world of human-robot interaction. Join us on this journey of discovery as we navigate the emerging frontiers of human-robot interaction together.

This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23–24, 2024. The 23 full papers and 17 short papers included in this book were carefully reviewed and selected from 400 submissions. They were organized in the following topical sections: machine learning; image processing; deep learning.

From this book reader will learn the best research topics and the latest development trend in MMESE theory and application. Man-Machine-Environment System Engineering (MMESE) is a scientific study on the design concepts and quantitative analysis of a complex giant system using physiology, psychology, system engineering, computer science, environment science, management theory, education, and other related disciplines methods. MMESE focuses mainly on the relationship and the optimum combination between Man, Machine, and Environment. The three optimized goals of the MMESE study are safety, efficiency, and economy. Researchers and professionals who study a human-centered interdisciplinary subject crossing above disciplines will be mostly benefited from this proceedings. In 1981 with direct support from one of the greatest modern Chinese scientists, Xuesen Qian, Man-Machine-Environment System Engineering (MMESE), the integrated and advanced science research topic was established in China by Professor Shengzhao Long. Man-Machine-Environment System Engineering: Proceedings of the 24th Conference on MMESE is the academic showcase of latest research papers selected from more than 500 submission in this field in 2024.

This comprehensive work explores Artificial Intelligence´s profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health.

This book aims to highlight the latest achievements in the use of AI for improving Health Equity and Fairness. The edited volume contains selected papers presented at the 2024 Health Intelligence workshop, co-located with the Thirty-Eight Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;• Encompasses the ethical and legal challenges of using smart healthcare and medical data.This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

This book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10–13, 2024. The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.

This three-volume set LNCS 14696-14698 constitutes the refereed proceedings of the 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 – July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The UAHCI 2024 proceedings were organized in the following topical sections: Part I: User Experience Design and Evaluation for Universal Access; AI for Universal Access. Part II: Universal Access to Digital Services; Design for Cognitive Disabilities; Universal Access to Virtual and Augmented Reality. Part III: Universal Access to Learning and Education; Universal Access to Health and Wellbeing; Universal Access to Information and Media.

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.

The two-volume set CCIS 2236 and 2237 constitutes the refereed proceedings of the 7th International Conference on Applied Informatics, ICAI 2024, held in Vina del Mar, Chile, during October 24–26, 2024. The 39 full papers presented in these proceedings were carefully reviewed and selected from 123 submissions. The papers were organized in the following topical sections: Part I - Artificial Intelligence; Bioinformatics; Cloud Computing; Data Analysis; Decision Systems; and Game Development. Part II - Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Natural Language Processing; Social and Behavioral Applications; Software and Systems Modeling; and Software Architectures.

This volume constitutes poster papers and late breaking results presented during the 25th International Conference on Artificial Intelligence in Education, AIED 2024, which took place in Recife, Brazil, during July 8–12, 2024. The 18 full papers and 92 short papers were carefully reviewed and selected from 200 submissions. They are organized in topical sections as follows: Part One: Blue Sky, Industry, Innovation and Practitioner, WideAIED and Late-Breaking Results. Part Two: Late-Breaking Results, Doctoral Consortium, Workshops and Tutorials.

The seven-volume set CCIS 2114-2120 contains the extended abstracts of the posters presented during the 26th International Conference on Human-Computer Interaction, HCII 2024, held in Washington, DC, USA, during June 29–July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings were carefully reviewed and selected from 5108 submissions. The posters presented in these seven volumes are organized in the following topical sections: Part I: HCI Design Theories, Methods, Tools and Case Studies; User Experience Evaluation Methods and Case Studies; Emotions in HCI; Human Robot Interaction. Part II: Inclusive Designs and Applications; Aging and Technology. Part III: eXtended Reality and the Metaverse; Interacting with Cultural Heritage, Art and Creativity. Part IV: HCI in Learning and Education; HCI in Games. Part V: HCI in Business and Marketing; HCI in Mobility and Automated Driving; HCI in Psychotherapy and Mental Health. Part VI: Interacting with the Web, Social Media and Digital Services; Interaction in the Museum; HCI in Healthcare. Part VII: AI Algorithms and Tools in HCI; Interacting with Large Language Models and Generative AI; Interacting in Intelligent Environments; HCI in Complex Industrial Environments.

This book constitutes the proceedings of the Second International Conference on Human and Artificial Rationalities, HAR 2023, which took place in Paris, France, in September 2023. The 18 full and 5 short papers included in this book were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: Human and artificial thinking; human thinking and reasoning; neuropsychology and interaction; artificial agents and interaction; and applied reasoning. This volume also contains 2 invited talks in full-paper length.

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide. It consolidates contributions from a broad spectrum of experts to share ideas, methodologies, technologies, and approaches that can collectively address the challenges associated with the convergence of machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, human-like robotics, healthcare data analytics, and the application of biotechnology in the era of an AI-centric industry.

A new history of human intelligence that argues that humans know themselves by knowing their machines. We imagine that we are both in control of and controlled by our bodies—autonomous and yet automatic. This entanglement, according to David W. Bates, emerged in the seventeenth century when humans first built and compared themselves with machines. Reading varied thinkers from Descartes to Kant to Turing, Bates reveals how time and time again technological developments offered new ways to imagine how the body's automaticity worked alongside the mind's autonomy. Tracing these evolving lines of thought, An Artificial History of Natural Intelligence offers a new theorization of the human as a being that is dependent on technology and produces itself as an artificial automaton without a natural, outside origin.

Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance.This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques.This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance.This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.

The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. As AI use begins to increase in healthcare, the specter of data breaches, privacy infringements, and ethical quandaries appear formidable. Patient data, a cornerstone of medical advancement, becomes susceptible to compromise, necessitating a delicate balance between innovation and safeguarding individual privacy. Existing concerns focus on the potential misuse and unauthorized access to this sensitive information, resulting in a significant obstacle to the full realization of AI's potential in healthcare. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI. For those seeking a comprehensive guide to navigate the complexities of AI in healthcare while upholding patient privacy, this reference book serves as an indispensable resource.

En un mundo en constante evolución, la educación superior se enfrenta a un desafío fundamental, adaptarse a las necesidades cambiantes de los estudiantes y la sociedad, El siglo XXI nos ha sumergido en una era marcada por la inteligencia artificial y las tecnologías emergentes que transforman la manera en que aprendemos y enseñamos, Hoy más que nunca, nuestro deber como educadores es adaptarnos a las herramientas que la era digital pone a nuestra disposición, Las tecnologías ofrecen una amplia gama de herramientas y recursos que pueden revolucionar la forma en que enseñamos y aprendemos, En la era de la información, los estudiantes esperan una experiencia educativa que se adapte a sus necesidades y estilos de aprendizaje individuales, Aquí es donde entra en juego la tecnología, que ofrecen la posibilidad de acceder a información instantánea hasta la comunicación en tiempo real con profesores y compañeros de clase en todo el mundo, entre otras opciones, por lo que el uso de las tecnologías ha cambiado las dinámicas de aula en la educación superior,

La filosofía desempeña un papel crucial en la comprensión y el abordaje de los desafíos planteados por la Inteligencia Artificial (IA), A medida que la IA continúa avanzando rápidamente en nuestro mundo moderno, es esencial considerar las implicaciones éticas, morales y filosóficas que surgen de su desarrollo y aplicación, La filosofía proporciona un marco conceptual para reflexionar sobre estos temas, cuestionar suposiciones y establecer límites éticos que garanticen un uso responsable de la IA, Además, la reflexión filosófica sobre la ciencia también juega un papel fundamental al examinar los fundamentos epistemológicos y ontológicos de la investigación científica y la comprensión del mundo natural, En esta obra se ha tratado de explorar la importancia de la filosofía para todos estos desafíos,

These 2 volumes constitute the selected papers of the 7th International Conference, CHIRA 2023, held Rome, Italy, during November 16–17, 2023.The 14 full papers and the 29 short papers presented in these books were carefully reviewed and selected from 69 submissions. The papers selected contribute to the advancement of research and practical applications of human-technology and human-computer interaction. Different aspects of Computer-Human Interaction were covered in four parallel tracks: human factors for interactive systems, research, and applications; interactive devices; interaction design; and adaptive and intelligent systems.

Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of natural intelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptual issues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about the nature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains.

This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike. The primary aim of this book is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world.

This book constitutes the refereed proceedings of the 21st International Conference of the International Graphonomics Society on Graphonomics in Human Body Movement, IGS 2023, held in Évora, Portugal, during October 16–19, 2023.The 12 full papers presented in this book together with one short paper and two invited papers were carefully reviewed and selected from 23 submissions. The conference centers around graphonomics research aimed at comprehending the processes of handwriting acquisition and execution. Moreover, it delves deeper into the impact of the writer's neural, psychological, and biomechanical conditions on the various aspects of handwriting

'Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care.The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.'--

The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning;. Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.

This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.

This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023.The 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.