Search results for: artificial-intelligence

Enterprise Artificial Intelligence Transformation

Author : Rashed Haq
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Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

Artificial Intelligence

Author : John Haugeland
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Presented in non-technical terms, this book explores the relationship between human thinking and machine computing

Artificial Intelligence

Author : Fellow the Stanford Center for Legal Informatics Jerry Kaplan
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Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.

Artificial Intelligence Illuminated

Author : Ben Coppin
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Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.

Artificial Intelligence Against COVID 19

Author : Wim Naudé
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Artificial Intelligence (AI) is a potentially powerful tool in the fight against the COVID- 19 pandemic. Since the outbreak of the pandemic, there has been a scramble to use AI. This article provides an early, and necessarily selective review, discussing the contribution of AI to the fight against COVID-19, as well as the current constraints on these contributions. Six areas where AI can contribute to the fight against COVID-19 are discussed, namely i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments and cures, and vi) social control. It is concluded that AI has not yet been impactful against COVID-19. Its use is hampered by a lack of data, and by too much data. Overcoming these constraints will require a careful balance between data privacy and public health, and rigorous human-AI interaction. It is unlikely that these will be addressed in time to be of much help during the present pandemic. In the meantime, extensive gathering of diagnostic data on who is infectious will be essential to save lives, train AI, and limit economic damages.

ARTIFICIAL INTELLIGENCE WAY TO FUTURE

Author : G.S.SRIDHAR
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THIS BOOK GIVES DETAILED KNOWLEDGE ABOUT ARTIFICIAL INTELLIGENCE AND ITS FUNCTIONS.AI IS DEVELOPING RAPIDLY IN COMPUTER FIELD WHICH IS POPULAR AROUND THE WORLD.THIS BOOK CONTAINS MANY USEFUL ASPECTS ABOUT ARTIFICIAL INTELLIGENCE.SO KINDLY READ THIS BOOK AND GET THE MOST OUT OF IT.

Artificial Intelligence

Author : Melanie Mitchell
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Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Artificial Intelligence

Author : Christina Ahmet
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Currently, Artificial Intelligence (AI) lives amongst the human population. They reside in smartphones. They help people find content on the internet. They learn the behavior of their owners and put out relevant, interesting content to enhance their owner's experience while they are browsing on the internet. In this book you will learn all about Artificial Intelligence and how it will affect your life in the near future. Learn exactly what Artificial Intelligence is Machine Learning AI and The Internet Of Things Opportunities for Artificial Intelligence Intelligent IoT and much much more!

Machine Learning and Artificial Intelligence

Author : A.J. Tallón-Ballesteros
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Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.

Artificial Intelligence in Theory and Practice II

Author : Max A. Bramer
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The papers in this volume comprise the refereed proceedings of the conference ‘ Artificial Intelligence in Theory and Practice’ (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation for Information Processing (WCC-2008), in Milan, Italy in September 2008. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. Final decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Aegean, Samos, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference also featured invited talks by Prof. Nikola Kasabov (Auckland University of Technology, New Zealand) and Prof. Lorenza Saitta (University of Piemonte Orientale, Italy). I should like to thank the conference chair, John Debenham for all his efforts and the members of our program committee for reviewing papers to a very tight deadline.

Artificial Intelligence in Medicine

Author : Carlo Combi
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This book constitutes the refereed proceedings of the 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, held in Verona, Italy in July 2009. The 24 revised long papers and 36 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Artificial Intelligence

Author : Harry Henderson
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In the 1950s, a new field, cognitive psychology, emerged as a dialogue between the growing capabilities of digital computers and the study of human cognition and perception. Artificial Intelligence (AI) researchers began to develop models of perception, reasoning, knowledge organization, and natural language communication. They also created neural networks, expert systems, and other software with practical applications. AI models, in turn, have offered provocative insights into the human mind; now, new developments in virtual community and cyberspace point toward a future in which human and computer minds will interact in increasingly complex ways. Ultimately, AI research compels us to ask what it is that makes us human. Artificial Intelligence presents dynamic new portraits of the men and women in the vanguard of this innovative field. Subjects include Alan Turing, who made the connection between mathematical reasoning and computer operations; Allen Newell and Herbert Simon, who created a program that could reason like a human being; Pattie Maes, who developed computerized agents to help people with research and shopping; and Ray Kurzweil, who, besides inventing the flatbed scanner and a reading machine for the blind, has explored relationships between people and computers that may exceed human intelligence.

Abstraction in Artificial Intelligence and Complex Systems

Author : Lorenza Saitta
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Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.

Artificial Intelligence

Author : Michael Negnevitsky
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Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.

Managing and Understanding Artificial Intelligence Solutions

Author : Hildesheim Wolfgang
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KI ist ein weltweiter Megatrend. Bedeutung, Leistung und Komplexität von KI-Lösungen nehmen rasant zu und daher wächst auch der Bedarf, einen Überblick über die relevanten KI-Lösungen zu behalten und die damit verbundenen Prioritäten und Risiken zu managen. Das vorgestellte AI Methods, Capabilities and Criticality Grid (AI-MC2-Grid) stellt eine Methode und ein Werkzeug dar, um diesen Überblick zu gewinnen und die KI-Lösungen zu verwalten. Nutzer des AI-MC2-Grid können Manager, Entwickler und Anwender von KI-Lösungen sein, aber auch Investoren, Politiker und Regelsetzer, die den Markt verstehen und bestimmte KI-Lösungen verwalten wollen.Das AI-MC2-Grid besteht aus drei Dimensionen: KI-Methoden, KI-Fähigkeiten und die Kritikalität einer KI-Lösung. Jede diskutierte KI-Lösung kann in diese drei Dimensionen eingeordnet werden, so dass ähnliche KI-Lösungen verglichen werden können. Alternativ können komplexe KI-Lösungen anhand ihrer Komponenten analysiert werden. KI-Methoden entsprechen dabei typischen KI-Algorithmen, während KI-Fähigkeiten typischen Prozessschritten zum Aufbau intelligenter Workflows beschreiben. Sind die relevanten KI-Methoden und KI-Fähigkeiten einer bestimmten KI-Lösung gefunden, können Leistung, Folgen und mögliche Risiken und Alternativen diskutiert werden. Basierend auf der Klassifizierung stellt das Schadenspotenzial von Künstlicher Intelligenz eine bestimmte Stufe der Kritikalität dar. In diesem Zuge steigen mit zunehmender Kritikalität auch die Anforderungen an Tests, Kalibrierung, Inspektion, Kontrolle und Zertifizierung. Das AI-MC2-Grid eine leistungsfähige Methode und ein Werkzeug, um alle Arten von kommenden Normen und Standards von KI-Lösungen zu definieren und zu verwalten.Aus diesem guten Grund steht das AI-MC2-Grid im Mittelpunkt der Deutschen Normungsroadmap für Künstlichen Intelligenz, die als Werkzeug zur Unterstützung der Entwicklung und des Managements zukünftiger KI-Standards und -Normen

The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies

Author : Carl F. Hostetter
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Artificial Intelligence and Language Comprehension

Author : National Institute of Education (U.S.)
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The Promise of Artificial Intelligence

Author : Brian Cantwell Smith
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An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Artificial Intelligence

Author : George F. Luger
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This edition of 'Artificial Intelligence' includes increased coverage of the stochastic approaches to AI and stochastic methodology. Various sections have also been extended to recognize the importance of agent-based problem solving and embodiment in AI technology.

Artificial Intelligence

Author : Nils J. Nilsson
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This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.