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Author : Luc Julia
Publisher :
ISBN 13 : 9782412059111
Total Pages : 273 pages
Book Rating : 4.0/5 (591 download)
Download or read book There is no such thing as Artificial Intelligence written by Luc Julia and published by . This book was released on 2020-01-14 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)
Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Mark O'Connell
Publisher : Anchor
ISBN 13 : 0385540426
Total Pages : 221 pages
Book Rating : 4.3/5 (855 download)
Download or read book To Be a Machine written by Mark O'Connell and published by Anchor. This book was released on 2017-02-28 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: “This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review (Editor's Choice) Transhumanism is a movement pushing the limits of our bodies—our capabilities, intelligence, and lifespans—in the hopes that, through technology, we can become something better than ourselves. It has found support among Silicon Valley billionaires and some of the world’s biggest businesses. In To Be a Machine, journalist Mark O'Connell explores the staggering possibilities and moral quandaries that present themselves when you of think of your body as a device. He visits the world's foremost cryonics facility to witness how some have chosen to forestall death. He discovers an underground collective of biohackers, implanting electronics under their skin to enhance their senses. He meets a team of scientists urgently investigating how to protect mankind from artificial superintelligence. Where is our obsession with technology leading us? What does the rise of AI mean not just for our offices and homes, but for our humanity? Could the technologies we create to help us eventually bring us to harm? Addressing these questions, O'Connell presents a profound, provocative, often laugh-out-loud-funny look at an influential movement. In investigating what it means to be a machine, he offers a surprising meditation on what it means to be human.
Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 download)
Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.
Author : Janelle Shane
Publisher : Voracious
ISBN 13 : 0316525235
Total Pages : 272 pages
Book Rating : 4.3/5 (165 download)
Download or read book You Look Like a Thing and I Love You written by Janelle Shane and published by Voracious. This book was released on 2019-11-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Kate Crawford
Publisher : Yale University Press
ISBN 13 : 0300209576
Total Pages : 336 pages
Book Rating : 4.3/5 (2 download)
Download or read book The Atlas of AI written by Kate Crawford and published by Yale University Press. This book was released on 2021-04-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.
Author : Stuart Jonathan Russell
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.5/5 (255 download)
Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.
Author : Robbie Allen
Publisher : Addison-Wesley Professional
ISBN 13 : 9780135226209
Total Pages : 99998 pages
Book Rating : 4.2/5 (262 download)
Download or read book Deploying Machine Learning written by Robbie Allen and published by Addison-Wesley Professional. This book was released on 2019-05 with total page 99998 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Jaron Lanier
Publisher : Vintage
ISBN 13 : 0307593142
Total Pages : 242 pages
Book Rating : 4.3/5 (75 download)
Download or read book You Are Not a Gadget written by Jaron Lanier and published by Vintage. This book was released on 2010-01-12 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A NATIONAL BESTSELLER A programmer, musician, and father of virtual reality technology, Jaron Lanier was a pioneer in digital media, and among the first to predict the revolutionary changes it would bring to our commerce and culture. Now, with the Web influencing virtually every aspect of our lives, he offers this provocative critique of how digital design is shaping society, for better and for worse. Informed by Lanier’s experience and expertise as a computer scientist, You Are Not a Gadget discusses the technical and cultural problems that have unwittingly risen from programming choices—such as the nature of user identity—that were “locked-in” at the birth of digital media and considers what a future based on current design philosophies will bring. With the proliferation of social networks, cloud-based data storage systems, and Web 2.0 designs that elevate the “wisdom” of mobs and computer algorithms over the intelligence and wisdom of individuals, his message has never been more urgent.
Author : Nick Bostrom
Publisher :
ISBN 13 : 0199678111
Total Pages : 353 pages
Book Rating : 4.1/5 (996 download)
Download or read book Superintelligence written by Nick Bostrom and published by . This book was released on 2014 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain.
Author : James Barrat
Publisher : Macmillan
ISBN 13 : 1250032261
Total Pages : 142 pages
Book Rating : 4.2/5 (5 download)
Download or read book Our Final Invention written by James Barrat and published by Macmillan. This book was released on 2013-10-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elon Musk named Our Final Invention one of five books everyone should read about the future—a Huffington Post Definitive Tech Book of 2013. Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the “smart” in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to? “If you read just one book that makes you confront scary high-tech realities that we’ll soon have no choice but to address, make it this one.” —The Washington Post “Science fiction has long explored the implications of humanlike machines (think of Asimov’s I, Robot), but Barrat’s thoughtful treatment adds a dose of reality.” —Science News “A dark new book . . . lays out a strong case for why we should be at least a little worried.” —The New Yorker
Author : Margaret A. Boden
Publisher : Oxford University Press
ISBN 13 : 0191080071
Total Pages : 191 pages
Book Rating : 4.1/5 (91 download)
Download or read book Artificial Intelligence written by Margaret A. Boden and published by Oxford University Press. This book was released on 2018-08-13 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)
Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author : Brian Christian
Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)
Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Jacob Ward
Publisher : Hachette UK
ISBN 13 : 0316487228
Total Pages : 292 pages
Book Rating : 4.3/5 (164 download)
Download or read book The Loop written by Jacob Ward and published by Hachette UK. This book was released on 2022-01-25 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author Roger McNamee). Artificial intelligence is going to change the world as we know it. But the real danger isn't some robot that's going to enslave us: It's our own brain. Our brains are constantly making decisions using shortcuts, biases, and hidden processes—and we're using those same techniques to create technology that makes choices for us. In The Loop, award-winning science journalist Jacob Ward reveals how we are poised to build all of our worst instincts into our AIs, creating a narrow loop where each generation has fewer, predetermined, and even dangerous choices. Taking us on a world tour of the ongoing, real-world experiment of artificial intelligence, The Loop illuminates the dangers of writing dangerous human habits into our machines. From a biometric surveillance state in India that tracks the movements of over a billion people, to a social media control system in China that punishes deviant friendships, to the risky multiple-choice simplicity of automated military action, Ward travels the world speaking with top experts confronting the perils of their research. Each stop reveals how the most obvious patterns in our behavior—patterns an algorithm will use to make decisions about what's best for us—are not the ones we want to perpetuate. Just as politics, marketing, and finance have all exploited the weaknesses of our human programming, artificial intelligence is poised to use the patterns of our lives to manipulate us. The Loop is call to look at ourselves more clearly—our most creative ideas, our most destructive impulses, the ways we help and hurt one another-so we can put only the best parts of ourselves into the thinking machines we create.
Author : David Weinberger
Publisher : Harvard Business Press
ISBN 13 : 1633693961
Total Pages : 152 pages
Book Rating : 4.6/5 (336 download)
Download or read book Everyday Chaos written by David Weinberger and published by Harvard Business Press. This book was released on 2019-04-23 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make. More. Future. Artificial intelligence, big data, modern science, and the internet are all revealing a fundamental truth: The world is vastly more complex and unpredictable than we've allowed ourselves to see. Now that technology is enabling us to take advantage of all the chaos it's revealing, our understanding of how things happen is changing--and with it our deepest strategies for predicting, preparing for, and managing our world. This affects everything, from how we approach our everyday lives to how we make moral decisions and how we run our businesses. Take machine learning, which makes better predictions about weather, medical diagnoses, and product performance than we do--but often does so at the expense of our understanding of how it arrived at those predictions. While this can be dangerous, accepting it is also liberating, for it enables us to harness the complexity of an immense amount of data around us. We are also turning to strategies that avoid anticipating the future altogether, such as A/B testing, Minimum Viable Products, open platforms, and user-modifiable video games. We even take for granted that a simple hashtag can organize unplanned, leaderless movements such as #MeToo. Through stories from history, business, and technology, philosopher and technologist David Weinberger finds the unifying truths lying below the surface of the tools we take for granted--and a future in which our best strategy often requires holding back from anticipating and instead creating as many possibilities as we can. The book’s imperative for business and beyond is simple: Make. More. Future. The result is a world no longer focused on limitations but optimized for possibilities.
Author : Harry J. Jerison
Publisher : Springer Science & Business Media
ISBN 13 : 3642708773
Total Pages : 482 pages
Book Rating : 4.6/5 (427 download)
Download or read book Intelligence and Evolutionary Biology written by Harry J. Jerison and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: In evolutionary biology, "intelligence" must be defined in terms of traits that are subject to the major forces of organic evolution. Accordingly, this volume is concerned with the substantive questions that are relevant to the evolutionary problem. Comparisons of learning abilities are highlighted by a detailed report on similarities between honeybees and higher vertebrates. Several chapters are concerned with the evolution of cerebral lateralization and the control of language, and recent analyses of the evolution of encephalization and neocorticalization, including a review of effects of domestication on brain size are presented. The relationship between brain size and intelligence is debated vigorously. Most unusual, however, is the persistent concern with analytic and philosophical issues that arise in the study of this topic, from the applications of new developments on artificial intelligence as a source of cognitive theory, to the recognition of the evolutionary process itself as a theory of knowledge in "evolutionary epistemology".
