Beating Artificial Intelligence

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Publisher :
ISBN 13 : 9781646962822
Total Pages : 166 pages
Book Rating : 4.9/5 (628 download)

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Book Synopsis Beating Artificial Intelligence by : Ryan Baumgartner

Download or read book Beating Artificial Intelligence written by Ryan Baumgartner and published by . This book was released on 2019-12-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to understand how AI operates in different areas of your life? Would you like to gain a fair advantage to AI technology and keep up with its rapid development? Have you ever worried that AI might replace your job one day? If your answer is Yes to any of these questions, then keep reading because you're about to find what you're looking for. Artificial Intelligence is a field that developed so rapidly that we didn't even have the time to question its influence on our day-to-day lives. The benefits of its development boost are visible in many industries and, consequently, in our personal lives. Think about all the apps, tools, and technologies that ease and improve our daily activities. This book empowers you with the tools to discover and learn AI systems and languages to understand how they work and benefit today's world. In this guide you will discover: What AI is, how it operates, and its real impact on the world and our future. Practical ways to experience AI programming languages, and understand that human intelligence remains superior to artificial intelligence The difference between supervised and unsupervised machine learning (it's mind-blowing) Why it's important to know the specific problems bots and chatbots are solving (this will settle your worries that they will take over all human interaction) Free resources to help you learn the current AI language and systems. How most of the AI systems replicate different human brain activities (you'll be surprised by the complexity of this process!) Empowering tools to help you master AI learning technology and programming language - It really is that easy to become part of the industry! ... and much, much more! Are you ready to discover the AI secrets that will give you an upper hand on this rapidly developing industry? Take the first step towards a beating Artificial Intelligence and click the "Add to Cart" button now!

How to Stay Smart in a Smart World

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Publisher : MIT Press
ISBN 13 : 0262046954
Total Pages : 321 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis How to Stay Smart in a Smart World by : Gerd Gigerenzer

Download or read book How to Stay Smart in a Smart World written by Gerd Gigerenzer and published by MIT Press. This book was released on 2022-08-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.” Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all agree: machines will soon do everything better than humans. In How to Stay Smart in a Smart World, Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror, considers the privacy paradox (people want privacy, but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either.

The Myth of Artificial Intelligence

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Publisher : Harvard University Press
ISBN 13 : 0674259920
Total Pages : 321 pages
Book Rating : 4.6/5 (742 download)

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Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson

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: “Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books

The Promise of Artificial Intelligence

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Author :
Publisher : MIT Press
ISBN 13 : 0262355213
Total Pages : 179 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis The Promise of Artificial Intelligence by : Brian Cantwell Smith

Download or read book The Promise of Artificial Intelligence written by Brian Cantwell Smith and published by MIT Press. This book was released on 2019-10-08 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Humans vs. Artificial Intelligence

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Publisher : North Star Editions, Inc.
ISBN 13 : 1644933128
Total Pages : 48 pages
Book Rating : 4.6/5 (449 download)

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Book Synopsis Humans vs. Artificial Intelligence by : Clara MacCarald

Download or read book Humans vs. Artificial Intelligence written by Clara MacCarald and published by North Star Editions, Inc.. This book was released on 2020-01-01 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the many competitions that have pitted artificial intelligence against human intelligence, including in Go, chess, and Jeopardy! Clear text, vibrant photos, and helpful infographics make this book an accessible and engaging read.

Artificial Intelligence in Digital Holographic Imaging

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Publisher : John Wiley & Sons
ISBN 13 : 1119239044
Total Pages : 341 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Artificial Intelligence in Digital Holographic Imaging by : Inkyu Moon

Download or read book Artificial Intelligence in Digital Holographic Imaging written by Inkyu Moon and published by John Wiley & Sons. This book was released on 2022-11-07 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. Artificial Intelligence in Digital Holographic Imaging introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks, convolutional neural networks, and generative adversarial network. Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What’s Inside Introductory background on digital holography Key concepts of digital holographic imaging Deep-learning techniques for holographic imaging AI techniques in holographic image analysis Holographic image-classification models Automated phenotypic analysis of live cells For readers with various backgrounds, this book provides a detailed discussion of the use of intelligent holographic imaging system in biomedical fields with great potential for biomedical application.

Turing's Nightmares

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781523711772
Total Pages : 226 pages
Book Rating : 4.7/5 (117 download)

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Book Synopsis Turing's Nightmares by : John Charles Thomas, Ph.d.

Download or read book Turing's Nightmares written by John Charles Thomas, Ph.d. and published by Createspace Independent Publishing Platform. This book was released on 2016-02-20 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turing's Nightmares is a series of scenarios that explore possible implications of artificial intelligence technologies. It is a work of speculative fiction meant to encourage individuals and communities to consider the many social, political, economic and ethical issues possible from the widespread deployment of artificial intelligence. Many of these scenarios revolve around the idea called "The Singularity." The Singularity refers to a hypothetical time in the not so distant future when an AI system is created which is both much smarter than people and able to build a still more intelligent system. By considering possible scenarios, we can examine how we feel about the potential relationships among people and between people and their technology in time to prepare, prevent or utilize the impacts.

Deep Thinking

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Publisher : PublicAffairs
ISBN 13 : 1610397878
Total Pages : 304 pages
Book Rating : 4.6/5 (13 download)

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Book Synopsis Deep Thinking by : Garry Kasparov

Download or read book Deep Thinking written by Garry Kasparov and published by PublicAffairs. This book was released on 2017-05-02 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.

Why Machines Will Never Rule the World

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000628671
Total Pages : 355 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Why Machines Will Never Rule the World by : Jobst Landgrebe

Download or read book Why Machines Will Never Rule the World written by Jobst Landgrebe and published by Taylor & Francis. This book was released on 2022-08-12 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society.

Rebooting AI

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Publisher : Vintage
ISBN 13 : 052556604X
Total Pages : 290 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Rebooting AI by : Gary Marcus

Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2020-08-25 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Algorithms Are Not Enough

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Publisher : MIT Press
ISBN 13 : 0262044129
Total Pages : 340 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Algorithms Are Not Enough by : Herbert L. Roitblat

Download or read book Algorithms Are Not Enough written by Herbert L. Roitblat and published by MIT Press. This book was released on 2020-10-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

Thinking Machines

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Publisher : Penguin
ISBN 13 : 0143130587
Total Pages : 290 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis Thinking Machines by : Luke Dormehl

Download or read book Thinking Machines written by Luke Dormehl and published by Penguin. This book was released on 2017-03-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.

Machines that Think

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Author :
Publisher : John Murray
ISBN 13 : 1473629667
Total Pages : 269 pages
Book Rating : 4.4/5 (736 download)

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Book Synopsis Machines that Think by : New Scientist

Download or read book Machines that Think written by New Scientist and published by John Murray. This book was released on 2017-10-19 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think, AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat. ABOUT THE SERIES New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.

Introducing Artificial Intelligence

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Publisher : Icon Books Ltd
ISBN 13 : 1785780093
Total Pages : 352 pages
Book Rating : 4.7/5 (857 download)

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Book Synopsis Introducing Artificial Intelligence by : Henry Brighton

Download or read book Introducing Artificial Intelligence written by Henry Brighton and published by Icon Books Ltd. This book was released on 2015-09-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is no longer the stuff of science fiction. Half a century of research has resulted in machines capable of beating the best human chess players, and humanoid robots which are able to walk and interact with us. But how similar is this 'intelligence' to our own? Can machines really think? Is the mind just a complicated computer program? Addressing major issues in the design of intelligent machines, such as consciousness and environment, and covering everything from the influential groundwork of Alan Turing to the cutting-edge robots of today, Introducing Artificial Intelligence is a uniquely accessible illustrated introduction to this fascinating area of science.

Rule of the Robots

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Publisher : Basic Books
ISBN 13 : 1541674723
Total Pages : 251 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis Rule of the Robots by : Martin Ford

Download or read book Rule of the Robots written by Martin Ford and published by Basic Books. This book was released on 2021-09-14 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The New York Times–bestselling author of Rise of the Robots shows what happens as AI takes over our lives If you have a smartphone, you have AI in your pocket. AI is impossible to avoid online. And it has already changed everything from how doctors diagnose disease to how you interact with friends or read the news. But in Rule of the Robots, Martin Ford argues that the true revolution is yet to come. In this sequel to his prescient New York Times bestseller Rise of the Robots, Ford presents us with a striking vision of the very near future. He argues that AI is a uniquely powerful technology that is altering every dimension of human life, often for the better. For example, advanced science is being done by machines, solving devilish problems in molecular biology that humans could not, and AI can help us fight climate change or the next pandemic. It also has a capacity for profound harm. Deep fakes—AI-generated audio or video of events that never happened—are poised to cause havoc throughout society. AI empowers authoritarian regimes like China with unprecedented mechanisms for social control. And AI can be deeply biased, learning bigoted attitudes from us and perpetuating them. In short, this is not a technology to simply embrace, or let others worry about. The machines are coming, and they won’t stop, and each of us needs to know what that means if we are to thrive in the twenty-first century. And Rule of the Robots is the essential guide to all of it: both AI and the future of our economy, our politics, our lives.

Human Compatible

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Author :
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Human Compatible by : Stuart Jonathan Russell

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.

The Promise of Artificial Intelligence

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Author :
Publisher : MIT Press
ISBN 13 : 0262043041
Total Pages : 179 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Promise of Artificial Intelligence by : Brian Cantwell Smith

Download or read book The Promise of Artificial Intelligence written by Brian Cantwell Smith and published by MIT Press. This book was released on 2019-10-08 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.