The Future of Manufacturing Lies in the Hands of Humanoids Step into the groundbreaking world where human ingenuity meets advanced robotics. Next-Gen AI Robotics: Humanoids Transforming the Factory Floor takes you on an exhilarating journey through the evolution, implementation, and implications of humanoid robots in industrial settings. Witness the rise of humanoid robots and discover how they've revolutionized manufacturing processes over the decades. From their early days to cutting-edge innovations, each chapter unfolds the rich tapestry of robotics history and uncovers secrets that traditional robots could never achieve. Through captivating case studies and firsthand accounts from innovative companies, you'll see how automotive giants have pioneered the integration of these mechanical marvels, dramatically enhancing production speed and quality. Dive deep into the core technologies that drive humanoid robots. Understand how AI and machine learning algorithms endow these machines with unprecedented decision-making capabilities and sensor technologies that make them virtually human. Explore the intricate software architectures and real-time data processing that make humanoid robots not just tools, but collaborators in the manufacturing process. Imagine a world where humans and robots work side by side, each complementing the other's strengths. This book offers a window into a future where collaboration is seamless, efficiency is maximized, and errors are nearly extinct. From economic impacts to ethical considerations, it addresses every facet of this transformative technology, ensuring a comprehensive understanding that goes beyond the factory floor. Prepare yourself for a comprehensive guide through the present and future of humanoid robotics. Whether you're an industry professional, a tech enthusiast, or someone captivated by the future of innovation, this book promises to offer valuable insights and inspiration. Are you ready to embrace the next generation of manufacturing?

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.

This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022. The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods. This is an open access book.

The rapid advancement of technology is disrupting traditional leadership paradigms, challenging leaders to adapt to new ways of thinking and operating. Emerging technologies such as artificial intelligence, robotics, and the Internet of Things are revolutionizing industries, creating a pressing need for leaders who can navigate this digital landscape effectively. However, many leaders need to gain the knowledge and skills to harness these technologies to their full potential, leading to missed opportunities and ineffective leadership practices. Impact of New Technology on Next-Generation Leadership offers a comprehensive solution to this pressing challenge. This book provides a deep dive into how emerging technologies reshape leadership roles and responsibilities, offering practical insights and strategies for leaders to thrive in this new era. This book is essential reading for graduates, post-graduates, and professionals in management and related fields, as well as academics and researchers seeking to stay ahead in the ever-evolving leadership landscape.

In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily growing in availability. However, for industrial leaders, finding applicable, cost effective, and readily implementable multimedia, AI, and data analytics methods for industrial applications remains a daunting, laborious, and very expensive endeavor since the ecosystem of these technologies keeps diverging. Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides a review of the state of the art regarding the integration of AI and multimedia technologies for smart manufacturing applications. It conducts a cost-benefit analysis regarding the benefits of the integration of specific AI and multimedia technologies in specific industrial manufacturing applications. Covering topics such as cognitive lead measurement, nonlinear filtering methods, and global product development, this premier reference source is a dynamic resource for business executives and managers, entrepreneurs, IT professionals, manufacturers, students and faculty of higher education, researchers, and academicians.

The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems. Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more.

Artificial Intelligence/Robotics: Have we opened a Pandora's Box? As AI/robotics eliminates jobs across the spectrum, governmental revenues will plummet while the debt increases dramatically. This crisis of limited resources on all levels—underfunded or non-existent pensions, health problems, lack of savings, and job destruction without comparable job creation—will drive many into homelessness and produce a dramatic rise in violence as we fight over shrinking resources. “Ambitious, deeply researched, and far reaching in its scope and conclusions, Contagion is actually several books in one. Its summary of what AI is and will likely become is a standalone revelation. It also offers a critique of socio-economic ripple effects that verge on dystopian, and essays and “case studies” of specific sectors or regions, notably a chapter on China’s fusion of AI and social control.” JEFF LONG, New York Times Best-selling Author “A sobering look at the far-reaching impact that artificial intelligence may have on the economy, the workforce, democracy and all of humanity. The Artificial Intelligence Contagion is a bellwether for anyone seeking to comprehend the global disruption coming our way.” —DAVID COOPER, President and Technologist , Massive Designs “We see in the rush to develop AI the arrogance of the human species. Often buried by the exuberance over what AI might do is the massive dislocation it can cause. David and Daniel Barnhizer masterfully lead us through the societal challenges AI poses and offer possible solutions that will enable us to survive the AI contagion.” —KENNETH A. GRADY, Member, Advisory Boards, Elevate Services, Inc., MDR Lab, and LARI Ltd. This may be "the scariest book ever".