Beating Artificial Intelligence

Author : Ryan Baumgartner
Publisher :
ISBN 13 : 9781646962822
Total Pages : 166 pages
Book Rating : 4.26/5 ( download)

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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!

Author : Gerd Gigerenzer
Publisher : MIT Press
ISBN 13 : 0262046954
Total Pages : 321 pages
Book Rating : 4.54/5 ( download)

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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.

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674259920
Total Pages : 321 pages
Book Rating : 4.28/5 ( download)

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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

Author : Philippe Chout
Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.54/5 ( download)

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Download or read book Win at Roulette with Artificial Intelligence written by Philippe Chout and published by . This book was released on 2020-04-28 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Roulette beating Theory of Predictable Chance and visual Super-Convergence method were discovered by Philippe Chout in June 2019. This artificial intelligence researcher was trying to find out how a computer with deep learning algorithms would process data in order to beat the Roulette wheel and win money. AI v. Humans

Author : Garry Kasparov
Publisher : PublicAffairs
ISBN 13 : 1610397878
Total Pages : 304 pages
Book Rating : 4.72/5 ( download)

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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.

Author : Clara MacCarald
Publisher : North Star Editions, Inc.
ISBN 13 : 1644933128
Total Pages : 48 pages
Book Rating : 4.21/5 ( download)

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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.

Author : Stuart Jonathan Russell
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.13/5 ( download)

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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 : Martin Ford
Publisher : Basic Books
ISBN 13 : 1541674723
Total Pages : 251 pages
Book Rating : 4.21/5 ( download)

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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.

Author : New Scientist
Publisher : John Murray
ISBN 13 : 1473629667
Total Pages : 269 pages
Book Rating : 4.60/5 ( download)

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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.

Author : Gary Marcus
Publisher : Vintage
ISBN 13 : 052556604X
Total Pages : 290 pages
Book Rating : 4.45/5 ( download)

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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.