Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Efficiency and Efficacy are crucial to the success of national and international business operations today. With this in mind, businesses are continuously searching for the information and communication technologies that will improve job productivity and performance and enhance communications, collaboration, cooperation, and connection between employees, employers, and stakeholders. The Evolution of the Internet in the Business Sector: Web 1.0 to Web 3.0 takes a historical look at the policy, implementation, management, and governance of productivity enhancing technologies. This work shares best practices with public and private universities, IS developers and researchers, education managers, and business and web professionals interested in implementing the latest technologies to improve organizational productivity and communication.
The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.
An original deep history of the internet that tells the story of the centuries-old utopian dreams behind it—and explains why they have died today Many think of the internet as an unprecedented and overwhelmingly positive achievement of modern human technology. But is it? In The Internet Is Not What You Think It Is, Justin Smith offers an original deep history of the internet, from the ancient to the modern world—uncovering its surprising origins in nature and centuries-old dreams of radically improving human life by outsourcing thinking to machines and communicating across vast distances. Yet, despite the internet’s continuing potential, Smith argues, the utopian hopes behind it have finally died today, killed by the harsh realities of social media, the global information economy, and the attention-destroying nature of networked technology. Ranging over centuries of the history and philosophy of science and technology, Smith shows how the “internet” has been with us much longer than we usually think. He draws fascinating connections between internet user experience, artificial intelligence, the invention of the printing press, communication between trees, and the origins of computing in the machine-driven looms of the silk industry. At the same time, he reveals how the internet’s organic structure and development root it in the natural world in unexpected ways that challenge efforts to draw an easy line between technology and nature. Combining the sweep of intellectual history with the incisiveness of philosophy, The Internet Is Not What You Think It Is cuts through our daily digital lives to give a clear-sighted picture of what the internet is, where it came from, and where it might be taking us in the coming decades.
This book stems from the desire to systematize and put down on paper essential historical facts about the Web, a system that has undoubtedly changed our lives in just a few decades. But how did it manage to become such a central pillar of modern society, such an indispensable component of our economic and social interactions? How did it evolve from its roots to today? Which competitors, if any, did it have to beat out? Who are the heroes behind its success? These are the sort of questions that the book addresses. Divided into four parts, it follows and critically reflects on the Web’s historical path. “Part I: The Origins” covers the prehistory of the Web. It examines the technology that predated the Web and fostered its birth. In turn, “Part II: The Web” describes the original Web proposal as defined in 1989 by Tim Berners-Lee and the most relevant technologies associated with it. “Part III: The Patches” combines a historical reconstruction of the Web’s evolution with a more critical analysis of its original definition and the necessary changes made to the initial design. In closing, “Part IV: System Engineering” approaches the Web as an engineered infrastructure and reflects on its technical and societal success. The book is unique in its approach, combining historical facts with the technological evolution of the Web. It was written with a technologically engaged and knowledge-thirsty readership in mind, ranging from curious daily Web users to undergraduate computer science and engineering students.
The co-founder of Baidu explains how AI will transform human livelihood, from our economy and financial systems down to our daily lives. Written by Baidu cofounder Robin Li and prefaced by award-winning sci-fi writer Cixin Liu (author of The Three-Body Problem), Artificial Intelligence Revolution introduces Baidu’s teams of top scientists and management as pioneers of movement toward AI. The book covers many of the latest AI-related ideas and technological developments, such as: Computational ability Big data resources Setting the basic standards of AI in research and development An introduction to the “super brain” Intelligent manufacturing Deep learning L4 automated vehicles Smart finance The book describes the emergence of a “smart” society powered by technology and reflects on the challenges humanity is about to face. Li covers the most pressing AI-related ideas and technological developments, including: Will artificial intelligence replace human workers, and in what sectors of the economy? How will it affect healthcare and finance? How will daily human life change? Robin Li’s Artificial Intelligence Revolution addresses these questions and more from the perspective of a pioneer of AI development. It's a must-read for anyone concerned about the emergence of a “smart” society powered by technology and the challenges humanity is about to face.
"Thoughtful and erudite... Intelligent and readable...Will appeal to people who enjoyed Longitude by Dava Sobel or Fermat's Enigma by Simon Singh." -The San Diego Union Tribune "Most engaging."-The Boston Globe "An optimistic and reassuring assertion that no matter what wonders we invent, human beings . . . remain infinitely more complex and interesting."-The Economist A lively, informative examination of the computer revolution-and why the top-performing information-processing device is still the human brain. If we believe the forecasts of many computer enthusiasts, a wave of amazing devices will soon fundamentally change our lives, and the "thinking machine" is just around the corner. In this authoritative and entertaining book, critically acclaimed author Charles Jonscher presents the other side of the argument: while communication developments have changed society, they also have their limits. He shows us that in order to understand the true transformative powers of the new technologies, we must know about the long history of their development-and why no calculating machine can match the creative power of the human mind. Rich in insights from literature, philosophy, and history, The Evolution of Wired Life offers a fascinating look at the development of the digital era, from the invention of the first alphabetic language to the printing press to the World Wide Web.
New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
THE NEW ADVANCED SOCIETY Included in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors. A 360-degree view of the different dimensions of the digital revolution is presented in this book, including the various industries transforming industrial manufacturing, the security and challenges ahead, and the far-reaching implications for society and the economy. The main objective of this edited book is to cover the impact that the new advanced society has on several platforms such as smart manufacturing systems, where artificial intelligence can be integrated with existing systems to make them smart, new business models and strategies, where anything and everything is possible through the internet and cloud, smart food chain systems, where food products can be delivered to any corner of the world at any time and in any situation, smart transport systems in which robots and self-driven cars are taking the lead, advances in security systems to assure people of their privacy and safety, and smart healthcare systems, where biochips can be incorporated into the human body to predict deadly diseases at early stages. Finally, it can be understood that the social reformation of Society 5.0 will lead to a society where every person leads an active and healthy life. Audience The targeted audience for this book includes research scholars and industry engineers in artificial intelligence and information technology, engineering students, cybersecurity experts, government research agencies and policymakers, business leaders, and entrepreneurs. Sandeep Kumar Panda, PhD is an associate professor in the Department of Data Science and Artificial Intelligence at IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad. His research areas include artificial intelligence, IoT, blockchain technology, cloud computing, cryptography, computational intelligence, and software engineering. Ramesh Kumar Mohapatra, PhD is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include optical character recognition, document image analysis, video processing, secure computing, and machine learning. Subhrakanta Panda, PhD is an assistant professor in the Department of Computer Science and Information Systems, BITS-PILANI, Hyderabad Campus, Jawahar Nagar, Hyderabad, India. His research interests include social network analysis, cloud computing, security testing, and blockchain. S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.
