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Uncommon Man’s Artificial Intelligence

Uncommon Man’s Artificial Intelligence
Author: Sridhar Seshadri
Publisher: VBC LLP
Total Pages: 204
Release: 2024-01-01
Genre: Computers
ISBN:
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Dive into the fascinating Artificial Intelligence (AI) world with "UnCOMMON MAN’s AI: AI Explained For Everyone." This comprehensive guide takes you on a journey through AI's intricate landscape, unraveling its mysteries and making it accessible to all. From deciphering the fundamentals of AI to exploring its evolution and impact, this book is an indispensable resource for beginners and enthusiasts alike. Dive into the chapters covering the essence of AI, machine learning, neural networks, and their practical applications in everyday life. Discover how AI transforms various sectors, from business and finance to healthcare and agriculture. Explore its integration into our daily routines, enhancing virtual assistants, smart homes, education, transportation, and more. Gain insights into the ethical considerations surrounding AI's pervasive influence, addressing transparency, bias, data privacy, and employment concerns. Moreover, "UnCOMMON MAN’s Artificial Intelligence" peers into the future, unraveling emerging AI trends and technologies, including generative adaptive networks, explainable AI (XAI), reinforcement learning, edge AI, and federated learning. Written in a reader-friendly manner, this book caters to a diverse audience, ensuring that complex AI concepts are explained in a relatable, easy-to-understand manner. Whether you're a novice or seeking more profound insights into AI's impact on our world, this book provides the knowledge and understanding you seek. Embark on a captivating journey into AI, unlocking its potential and paving the way for a better understanding of the technology that shapes our future. "UnCOMMON MAN’s Artificial Intelligence" is your gateway to embracing AI comprehensively, making it an indispensable part of your knowledge repertoire.

Deploying Machine Learning

Deploying Machine Learning
Author: Robbie Allen
Publisher: Addison-Wesley Professional
Total Pages: 99998
Release: 2019-05
Genre: Computers
ISBN: 9780135226209
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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.

Human + Machine

Human + Machine
Author: Paul R. Daugherty
Publisher: Harvard Business Press
Total Pages: 264
Release: 2018-03-20
Genre: Computers
ISBN: 1633693872
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AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Work in the Age of Robots

Work in the Age of Robots
Author: Mark P. Mills
Publisher: Encounter Books
Total Pages: 73
Release: 2018-06-05
Genre: Political Science
ISBN: 1641770287
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Are robots finally replacing humans? Does the emerging age of artificial intelligence and automation mean we will soon see “peak jobs” and the need for a Universal Basic Income to support a widening swath of hapless citizens unsuited for employment in a primarily “knowledge” workforce? Improving productivity—reducing labor hours per unit of product or service—has been the hallmark of economic progress for centuries. But advances due to robots and AI, some say, will be fundamentally different because digital machines are ready to revolutionize the nature of work in nearly every sector, not just one or two. But the lessons of history and the realities of technologies suggest that, despite yet more disruption, the overall result will be net job gains and faster economic growth.

AI Ethics and Governance

AI Ethics and Governance
Author: Zhiyi Liu
Publisher: Springer Nature
Total Pages: 185
Release: 2022-05-20
Genre: Business & Economics
ISBN: 9811925313
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This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.

AI*IA 2011: Artificial Intelligence Around Man and Beyond

AI*IA 2011: Artificial Intelligence Around Man and Beyond
Author: Roberto Pirrone
Publisher: Springer
Total Pages: 478
Release: 2011-09-15
Genre: Computers
ISBN: 3642239544
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This book constitutes the refereed proceedings of the 12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011, held in Palermo, Italy, in September 2011. The 31 revised full papers presented together with 3 invited talks and 13 posters were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on machine learning; distributed AI: robotics and MAS; theoretical issues: knowledge representation and reasoning; planning, cognitive modeling; natural language processing; and AI applications.

Business Intelligence for Enterprise Internet of Things

Business Intelligence for Enterprise Internet of Things
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 289
Release: 2020-06-09
Genre: Technology & Engineering
ISBN: 3030444074
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This book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book's topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes.

I, Human

I, Human
Author: Tomas Chamorro-Premuzic
Publisher: Harvard Business Press
Total Pages: 219
Release: 2023-02-28
Genre: Computers
ISBN: 1647820561
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For readers of Sapiens and Homo Deus and viewers of The Social Dilemma, psychologist Tomas Chamorro-Premuzic tackles one of the biggest questions facing our species: Will we use artificial intelligence to improve the way we work and live, or will we allow it to alienate us? It's no secret that AI is changing the way we live, work, love, and entertain ourselves. Dating apps are using AI to pick our potential partners. Retailers are using AI to predict our behavior and desires. Rogue actors are using AI to persuade us with bots and misinformation. Companies are using AI to hire us—or not. In I, Human psychologist Tomas Chamorro-Premuzic takes readers on an enthralling and eye-opening journey across the AI landscape. Though AI has the potential to change our lives for the better, he argues, AI is also worsening our bad tendencies, making us more distracted, selfish, biased, narcissistic, entitled, predictable, and impatient. It doesn't have to be this way. Filled with fascinating insights about human behavior and our complicated relationship with technology, I, Human will help us stand out and thrive when many of our decisions are being made for us. To do so, we'll need to double down on our curiosity, adaptability, and emotional intelligence while relying on the lost virtues of empathy, humility, and self-control. This is just the beginning. As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Industrial Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with people. It's up to us to adapt and determine how we want to live and work. The choice is ours. What will we decide?

Data-Centric Artificial Intelligence for Multidisciplinary Applications

Data-Centric Artificial Intelligence for Multidisciplinary Applications
Author: Parikshit N Mahalle
Publisher: CRC Press
Total Pages: 309
Release: 2024-06-06
Genre: Computers
ISBN: 1040031137
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This book explores the need for a data‐centric AI approach and its application in the multidisciplinary domain, compared to a model‐centric approach. It examines the methodologies for data‐centric approaches, the use of data‐centric approaches in different domains, the need for edge AI and how it differs from cloud‐based AI. It discusses the new category of AI technology, "data‐centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‐centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. • Includes a collection of case studies with experimentation results to adhere to the practical approaches • Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways • Discusses methodologies to achieve accurate results by improving the quality of data • Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications

The Global Bioethics of Artificial Intelligence and Human Rights

The Global Bioethics of Artificial Intelligence and Human Rights
Author: Dominique J. Monlezun
Publisher: Cambridge Scholars Publishing
Total Pages: 348
Release: 2020-07-22
Genre: Philosophy
ISBN: 1527557170
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Human annihilation has never been so easy. Artificial intelligence-guided genetic-engineered nanotechnology and robotics (AI-GNR) are widely recognized as our most transformative technological revolution ever, yet we do not even have a common moral language to unite our pluralistic world to prevent an AI apocalypse should this revolution explode out of our control. This book is the first known comprehensive global bioethical analysis of AI and AI-GNR by defining the Thomistic-Aristotelian personalist foundation of the rights and duties-based social contract framework of the United Nations, and then applying it to AI. As such, it creates a compelling approach which will appeal to scientists, health professionals, policy makers, politicians, students, and anyone interested in our shared survival around shared solutions.