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| ask artificial intelligence questions: The Big Nine Amy Webb, 2019-03-05 A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of artificial intelligence. The reality, though, is that we -- the everyday people whose data powers AI -- aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into -- one largely free from regulation or oversight. The big nine corporations -- Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain. In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI -- the people working on the system, their motivations, the technology itself -- is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity. Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing course, and provides a path for liberating us from algorithmic decision-makers and powerful corporations. |
| ask artificial intelligence questions: The Sentient Machine Amir Husain, 2017-11-21 Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life. |
| ask artificial intelligence questions: 344 Questions Stefan G. Bucher, 2011 Presents a collection of questions to help readers determine where they are in their life and career, formulate goals, and how to achieve them, along with questions and answers from a variety of writers, musicians, and artists that they were asked on their way to success. |
| ask artificial intelligence questions: Questions and Information Systems Thomas W. Lauer, Eileen Peacock, Arthur C. Graesser, 2013-04-15 The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as human cognition, social interaction, communication networks, and intelligent tutoring systems. Their efforts show that data structures and representations need to be organized around the questioning mechanisms in order to achieve a quick retrieval of relevant useful information. |
| ask artificial intelligence questions: Principles of Constraint Programming Krzysztof Apt, 2003-08-28 Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list of references will also be valuable to professionals in computer science and artificial intelligence. |
| ask artificial intelligence questions: Questions Are the Answer Hal Gregersen, 2018-11-13 2018 Nautilus Book Awards Silver Winner What if you could unlock a better answer to your most vexing problem—in your workplace, community, or home life—just by changing the question? Talk to creative problem-solvers and they will often tell you, the key to their success is asking a different question. Take Debbie Sterling, the social entrepreneur who created GoldieBlox. The idea came when a friend complained about too few women in engineering and Sterling wondered aloud: why are all the great building toys made for boys? Or consider Nobel laureate Richard Thaler, who asked: would it change economic theory if we stopped pretending people were rational? Or listen to Jeff Bezos whose relentless approach to problem solving has fueled Amazon’s exponential growth: “Getting the right question is key to getting the right answer.” Great questions like these have a catalytic quality—that is, they dissolve barriers to creative thinking and channel the pursuit of solutions into new, accelerated pathways. Often, the moment they are voiced, they have the paradoxical effect of being utterly surprising yet instantly obvious. For innovation and leadership guru Hal Gregersen, the power of questions has always been clear—but it took some years for the follow-on question to hit him: If so much depends on fresh questions, shouldn’t we know more about how to arrive at them? That sent him on a research quest ultimately including over two hundred interviews with creative thinkers. Questions Are the Answer delivers the insights Gregersen gained about the conditions that give rise to catalytic questions—and breakthrough insights—and how anyone can create them. |
| ask artificial intelligence questions: You Look Like a Thing and I Love You Janelle Shane, 2019-11-05 As heard on NPR's Science Friday, discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an accessible, informative, and hilarious introduction to the weird and wonderful world of artificial intelligence (Ryan North). You look like a thing and I love you is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really Vampire Hog Bride? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way. —Adam Grant, New York Times bestselling author of Originals |
| ask artificial intelligence questions: Artificial Intelligence David L. Poole, Alan K. Mackworth, 2017-09-25 Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains. |
| ask artificial intelligence questions: Human-Like Machine Intelligence Stephen Muggleton, Nicholas Chater, 2021 This book, authored by an array of internationally recognised researchers, is of direct relevance to all those involved in Academia and Industry wanting to obtain insights into the topics at the forefront of the revolution in Artificial Intelligence and Cognitive Science. |
| ask artificial intelligence questions: Asking Smarter Questions Sam Knowles, 2022-08-08 Insight is the superpower that drives innovation and enables us to understand the world from other peoples’ points of view, be they customers or colleagues, advocates or competitors. This new book from data storyteller Sam Knowles explains how to ask smarter questions – questions that, by design, stimulate more useful answers. This is the shortcut to better productivity, fast-tracked innovation, and organisational success – for businesses, universities, charities, and governments. For too long, the simple act of asking questions has been overlooked as almost too trivial to contemplate. Asking Smarter Questions seeks to champion the art of curiosity by setting out a framework to make every question count. The fundamental building blocks of insight are data and information, joined together in new and often unpredictable ways. The way we surface new data and information and make meaningful connections between data points is by asking smarter questions. By taking this approach, you can make your organisation a less confrontational, more collaborative, and more productive environment in which to work – particularly in the more distributed and remote settings that will characterise the 2020s. Managers, directors, and leaders will find the universal principles, expert interviews, and data-driven recommendations a source of inspiration to share with their teams. Asking Smarter Questions is aimed at professionals in businesses and organisations across all sectors, and will help those working in many functions, including market research, intelligence, insight, analytics, strategy, marketing, communications, planning, product development, and innovation. |
| ask artificial intelligence questions: A Newborn Business Zoltan Andrejkovics, 2018-10-05 Games covered Fortnite, League of Legends, Dota 2, FIFA, Overwatch, CS:GO, Clash Royale, Hearthstone and F1 series How can I become a professional esports player? How can I make a living playing esports? What is the lifespan of an esports game? What are the most popular esports? These are just some of the questions I have been asked over the last five years. With the boom of the esports industry, everyone wants to know how they can be part of it. In this book, I have answered those questions, and dozens more, based on my years of experience working in the professional esports scene as a team manager. In this book, you will find no topic was off limits. I talk about the past, present, and future of esports and different aspects of the professional gaming industry at large. |
| ask artificial intelligence questions: How Smart Machines Think Sean Gerrish, 2018-10-30 Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people. |
| ask artificial intelligence questions: Probably Approximately Correct Leslie Valiant, 2013-06-04 Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature. |
| ask artificial intelligence questions: The Art and Science of Questions Ronald Legarski, 2024-09-28 In The Art and Science of Questions, Ronald Legarski explores the profound power of questioning in shaping human thought, innovation, and discovery. Whether in business, science, education, or everyday life, the ability to ask the right question can lead to deeper understanding, better decisions, and groundbreaking ideas. This book offers a comprehensive guide to mastering the art of inquiry, covering various types of questions—from open-ended to leading, reflective, and hypothetical—and providing practical methods for applying them in real-world contexts. With insights drawn from philosophy, psychology, leadership, and technology, this book equips readers with the tools to ask more effective questions and unlock the full potential of inquiry. Legarski also delves into the future of questioning, examining how artificial intelligence, virtual reality, and quantum computing will revolutionize how we ask and answer questions in the coming decades. Whether you're a student, a professional, or simply a curious mind, The Art and Science of Questions will transform the way you approach problem-solving, learning, and communication. Key Features: Detailed exploration of question types, including funneling, Socratic, and reflective questioning. Real-world case studies demonstrating the impact of effective questioning across various fields. Practical strategies for improving critical thinking, decision-making, and leadership through inquiry. Insight into the future of questioning with AI and emerging technologies. Published by SolveForce, 2024. |
| ask artificial intelligence questions: The Question of Artificial Intelligence Brian P. Bloomfield, 2018-05-15 Originally published in 1987 when Artificial Intelligence (AI) was one of the most hotly debated subjects of the moment; there was widespread feeling that it was a field whose ‘time had come’, that intelligent machines lay ‘just around the corner’. Moreover, with the onset of the revolution in information technology and the proclamation from all corners that we were moving into an ‘information society’, developments in AI and advanced computing were seen in many countries as having both strategic and economic importance. Yet, aside from the glare of publicity that tends to surround new scientific ideas or technologies, it must be remembered that AI was a relative newcomer among the sciences; that it had often been the subject of bitter controversy; and that though it had been promising to create intelligent machines for some 40 years prior to publication, many believe that it had actually displayed very little substantive progress. With this background in mind, the aim of this collection of essays was to take a novel look at AI. Rather than following the path of old well-trodden arguments about definitions of intelligence or the status of computer chess programs, the objective was to bring new perspectives to the subject in order to present it in a different light. Indeed, instead of simply adding to the endless wrangling ‘for’ and ‘against’ AI, the source of such divisions is made a topic for analysis in its own right. Drawing on ideas from the philosophy and sociology of scientific knowledge, this collection therefore broke new ground. Moreover, although a great deal had been written about the social and cultural impact of AI, little had been said of the culture of AI scientists themselves – including their discourse and style of thought, as well as the choices, judgements, negotiations and competitive struggles for resources that had shaped the genesis and development of the paradigmatic structure of their discipline at the time. Yet, sociologists of science have demonstrated that the analysis of factors such as these is a necessary part of understanding the development of scientific knowledge. Hence, it was hoped that this collection would help to redress the imbalance and provide a broader and more interesting picture of AI. |
| ask artificial intelligence questions: Introduction to AI Robotics, second edition Robin R. Murphy, 2019-10-01 A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia. |
| ask artificial intelligence questions: Boosting Robert E. Schapire, Yoav Freund, 2014-01-10 An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout. |
| ask artificial intelligence questions: Foundations of Machine Learning, second edition Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, 2018-12-25 A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition. |
| ask artificial intelligence questions: The Future of Business Rohit Talwar, Gerd Leonhard , Gray Scott , B.J. Murphy, Ian Pearson, Laura Goodrich, Cornelia Daheim, Joyce Gioia, Calum Chace, 2015-03-15 The Future of Business explores how the commercial world is being transformed by the complex interplay between social, economic and political shifts, disruptive ideas, bold strategies and breakthroughs in science and technology. Over 60 contributors from 21 countries explore how the business landscape will be reshaped by factors as diverse as the modification of the human brain and body, 3D printing, alternative energy sources, the reinvention of government, new business models, artificial intelligence, blockchain technology, and the potential emergence of the Star Trek economy. |
| ask artificial intelligence questions: Machine Learning for Computer Vision Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella, 2012-07-27 Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature. |
| ask artificial intelligence questions: The Fourth Age Byron Reese, 2020-03-17 As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species. “If you only read just one book about the AI revolution, make it this one” (John Mackey, cofounder and CEO, Whole Foods Market). In The Fourth Age, Byron Reese makes the case that technology has reshaped humanity just three times in history: 100,000 years ago, we harnessed fire, which led to language; 10,000 years ago, we developed agriculture, which led to cities and warfare; 5,000 years ago, we invented the wheel and writing, which lead to the nation state. We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. “Timely, highly informative, and certainly optimistic” (Booklist), The Fourth Age provides an essential background on how we got to this point, and how—rather than what—we should think about the topics we’ll soon all be facing: machine consciousness, automation, changes in employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity. By asking questions like “Are you a machine?” and “Could a computer feel anything?”, Reese leads you through a discussion along the cutting edge in robotics and AI, and provides a framework by which we can all understand, discuss, and act on the issues of the Fourth Age and how they’ll transform humanity. |
| ask artificial intelligence questions: The Alignment Problem: Machine Learning and Human Values Brian Christian, 2020-10-06 A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful. |
| ask artificial intelligence questions: Demystifying Big Data and Machine Learning for Healthcare Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz, 2017-02-15 Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them. |
| ask artificial intelligence questions: Artificial Intelligence Richard E. Neapolitan, Xia Jiang, 2018-03-12 The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more. |
| ask artificial intelligence questions: Impact of Artificial Intelligence in Business and Society Francesco Paolo Appio, Davide La Torre, Francesca Lazzeri, Hatem Masri, Francesco Schiavone, 2023-07-31 Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines. |
| ask artificial intelligence questions: 500 Artificial Intelligence (AI) Interview Questions and Answers Vamsee Puligadda, Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Artificial Intelligence (AI) interview questions book that you can ever find out. It contains: 500 most frequently asked and important Artificial Intelligence (AI) interview questions and answers Wide range of questions which cover not only basics in Artificial Intelligence (AI) but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews. |
| ask artificial intelligence questions: March of the Machines Kevin Warwick, 2004 While horror films and science fiction have repeatedly warned of robots running amok, Kevin Warwick takes the threats out of the realm of fiction and into the real world, truly giving us something to worry about. Meeting skeptics head on, Warwick goes beyond his penetrating attacks on their assumptions and prejudices about what should be considered as intelligence to reveal what he has already achieved: building robots that communicate in their own language, share experiences, teach each other lessons, and behave as they wish with regard to human beings. Part history of robotics and part futurism, March of the Machines surveys the substantial advances made in artificial intelligence over the past century while looking ahead to an increasingly uneasy relationship between humans and their creations. |
| ask artificial intelligence questions: Artificial Intelligence in Education Ning Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova, 2023-06-25 This book constitutes the refereed proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED 2023, held in Tokyo, Japan, during July 3-7, 2023. This event took place in hybrid mode. The 53 full papers and 26 short papers presented in this book were carefully reviewed and selected from 311 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. The conference was hosted by the prestigious International Artificial Intelligence in Education Society, a global association of researchers and academics specializing in the many fields that comprise AIED, including, but not limited to, computer science, learning sciences, and education. |
| ask artificial intelligence questions: Oswaal One For All Question Bank NCERT & CBSE, Class-7 English (For 2024-25 Exam) Oswaal Editorial Board, 2024-05-09 Description of the Product: • 100 % Updated for 2023-24 with latest Rationalised NCERT Textbooks • Crisp Revision with Concepts Review, Mind Maps & Mnemonics • Valuable Exam Insights with Fully Solved NCERT Textbook +Exemplar Questions • Extensive Practice with 1600+ Practice Questions & Activity Questions • NEP Compliance with Artificial intelligence & Art Integration |
| ask artificial intelligence questions: Oswaal One For All Question Banks NCERT & CBSE Class 7 (Set of 4 Books) Maths, Science, Social Science, and English (For 2023 Exam) Oswaal Editorial Board, 2023-06-14 Description of the Product: ♦ Crisp Revision with Concept-wise Revision Notes & Mind Maps ♦ 100% Exam Readiness with Previous Years’ Questions 2011-2022 ♦ Valuable Exam Insights with 3 Levels of Questions-Level1,2 & Achievers ♦ Concept Clarity with 500+ Concepts & 50+ Concepts Videos ♦ Extensive Practice with Level 1 & Level 2 Practice Papers |
| ask artificial intelligence questions: ARTIFICIAL INTELLIGENCE PARAG KULKARNI, PRACHI JOSHI, 2015-02-26 There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples |
| ask artificial intelligence questions: The Question Habit Mandy Pallock, 2023-06-27 What if you could deepen every relationship just by knowing what questions to ask? Your entire life is a series of questions meant to open doors to meaningful relationships. Think of them as focused, intentional, and everyday conversations with people you and God value. Questions are key to discovering the God-designed uniqueness of yourself and others, cultivating intentional relationships with heartfelt, open-ended sharing, and inspiring and mentoring with the why and how behind the what. Asking and listening well can take every relationship deeper. Are you ready to discover how to use the power of purposeful questions? • Have an engagement tool for the next time awkward silence fills the air • Discover the God-designed uniqueness of another person • Help someone else process his or her thoughts and emotions • Engage in new or sensitive situations in non-threatening, conversational ways • Jump into your day with intentionality and focus The Question Habit will support you as you mentor with questions, facilitate grace-filled conversations, and go deeper with care. Ready? |
| ask artificial intelligence questions: Mortal Engines Stanisław Lem, 1992 Publisher description: Translated from the original Polish text, and with an introduction by Michael Kandel. These fourteen science fiction stories reveal Stainslaw Lem's fascination with artificial intelligence and demonstrate just how surprisingly human sentient machines can be. The first eleven stories, a cycle called Fables for Robots, are set in a cosmos inhabited exclusively by machines. Revolving around an assortment of electroknights and cyberkings, the stories combine the timeless quality of fairy tales and parables with a twist that is unmistakably Lem. |
| ask artificial intelligence questions: Artificial Intelligence in Education Elisabeth André, Ryan Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay, 2017-06-22 This book constitutes the refereed proceedings of the 18th International Conference on Artificial Intelligence in Education, AIED 2017, held in Wuhan, China, in June/July 2017. The 36 revised full papers presented together with 4 keynotes, 37 poster, presentations, 4 doctoral consortium papers, 5 industry papers, 4 workshop abstracts, and 2 tutorial abstracts were carefully reviewed and selected from 159 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. |
| ask artificial intelligence questions: Machine Learning and Artificial Intelligence Ameet V Joshi, 2022-12-16 The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs. |
| ask artificial intelligence questions: Research Handbook on Intellectual Property and Artificial Intelligence Ryan Abbott, 2022-12-13 This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law. |
| ask artificial intelligence questions: Artificial Intelligence Marketing and Predicting Consumer Choice Steven Struhl, 2017-04-03 The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators. |
| ask artificial intelligence questions: Artificial Intelligence and Soft Computing Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi Zadeh, Jacek Zurada, 2012-04-23 The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence. |
| ask artificial intelligence questions: Industry 4.0 Alasdair Gilchrist, 2016-06-28 Explore the current state of the production, processing, and manufacturing industries and discover what it will take to achieve re-industrialization of the former industrial powerhouses that can counterbalance the benefits of cheap labor providers dominating the industrial sector. This book explores the potential for the Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Smart Factory technologies to replace the still largely mechanical, people-based systems of offshore locations. Industry 4.0: The Industrial Internet of Things covers Industry 4.0, a term that encapsulates trends and technologies that could rewrite the rules of manufacturing and production. What You'll Learn: Discover the Industrial Internet and Industrial Internet of Things See the technologies that must advance to enable Industry 4.0 and learn what is happening today to make that happen Observe examples of the implementation of Industry 4.0 Apply some of these case studies Discover the potential to take back the lead in manufacturing, and the potential fallout that could result Who This Book is For: Business futurists, business strategists, CEOs and CTOs, and anyone with an interest and an IT or business background; or anyone who may have a keen interest in how the future of IT, industry and production will develop over the next two decades. |
| ask artificial intelligence questions: All Groan Up Paul Angone, 2015-04-21 All Groan Up: Searching for Self, Faith, and A Freaking Job! is the story of the GenY/Millennial generation told through the individual story of author Paul Angone. It’s a story of struggle, hope, failure, and doubts in the twilight zone of growing up and being grown, connecting with his twentysomething post-college audience with raw honesty, humor, and hope. |
Ask.com - What's Your Question?
Answers you want. Content for days. What more could you Ask for?
Ask.com - Wikipedia
Ask.com (known originally as Ask Jeeves) is an answer engine [1] and former web search engine [2], operated by Ask Media Group. It was conceptualized and developed in 1996 by Garrett …
Answers - The Most Trusted Place for Answering Life's Questions
Dec 26, 2007 · Answers is the place to go to get the answers you need and to ask the questions you want
ASK | English meaning - Cambridge Dictionary
ASK definition: 1. to put a question to someone, or to request an answer from someone: 2. to consider something…. Learn more.
A place to share knowledge and better understand the world
Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn …
Ask Home Page
Ask brings together the most comprehensive collection of search tools available to provide you with the information you need when you need it
ASK - Definition & Meaning - Reverso English Dictionary
Ask definition: request information from someone. Check meanings, examples, usage tips, pronunciation, domains, and related words. Discover expressions like "ask for", "ask a …
What does ASK mean? - Definitions.net
ask, v.t. to seek: to request, inquire, beg, question, invite.—v.i. to request: to make inquiry (with about and for—as to ask one after or for another). [A.S. áscian , ácsian ; Ger. heischen , Ice. …
ask - definition and meaning - Wordnik
To inquire concerning; seek to be informed about: as, to ask the way; to ask a question. To invite: as, to ask guests to a wedding or entertainment. and Ask, Inquire, Question, Interrogate.
Ask and Answer - ASKfm
Find out what people want to know about you. Ask questions and get answers on any topic!
Ask.com - What's Your Question?
Answers you want. Content for days. What more could you Ask for?
Ask.com - Wikipedia
Ask.com (known originally as Ask Jeeves) is an answer engine [1] and former web search engine [2], operated by Ask Media Group. It was conceptualized and developed in 1996 by Garrett …
Answers - The Most Trusted Place for Answering Life's Questions
Dec 26, 2007 · Answers is the place to go to get the answers you need and to ask the questions you want
ASK | English meaning - Cambridge Dictionary
ASK definition: 1. to put a question to someone, or to request an answer from someone: 2. to consider something…. Learn more.
A place to share knowledge and better understand the world
Quora is a place to gain and share knowledge. It's a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn …
Ask Home Page
Ask brings together the most comprehensive collection of search tools available to provide you with the information you need when you need it
ASK - Definition & Meaning - Reverso English Dictionary
Ask definition: request information from someone. Check meanings, examples, usage tips, pronunciation, domains, and related words. Discover expressions like "ask for", "ask a …
What does ASK mean? - Definitions.net
ask, v.t. to seek: to request, inquire, beg, question, invite.—v.i. to request: to make inquiry (with about and for—as to ask one after or for another). [A.S. áscian , ácsian ; Ger. heischen , Ice. …
ask - definition and meaning - Wordnik
To inquire concerning; seek to be informed about: as, to ask the way; to ask a question. To invite: as, to ask guests to a wedding or entertainment. and Ask, Inquire, Question, Interrogate.
Ask and Answer - ASKfm
Find out what people want to know about you. Ask questions and get answers on any topic!
