What To Think About Machines That Think

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What to Think About Machines That Think

Author : John Brockman
Publisher : HarperCollins
ISBN 13 : 0062425668
Total Pages : 576 pages
Book Rating : 4.0/5 (624 download)

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Book Synopsis What to Think About Machines That Think by : John Brockman

Download or read book What to Think About Machines That Think written by John Brockman and published by HarperCollins. This book was released on 2015-10-06 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weighing in from the cutting-edge frontiers of science, today’s most forward-thinking minds explore the rise of “machines that think.” Stephen Hawking recently made headlines by noting, “The development of full artificial intelligence could spell the end of the human race.” Others, conversely, have trumpeted a new age of “superintelligence” in which smart devices will exponentially extend human capacities. No longer just a matter of science-fiction fantasy (2001, Blade Runner, The Terminator, Her, etc.), it is time to seriously consider the reality of intelligent technology, many forms of which are already being integrated into our daily lives. In that spirit, John Brockman, publisher of Edge. org (“the world’s smartest website” – The Guardian), asked the world’s most influential scientists, philosophers, and artists one of today’s most consequential questions: What do you think about machines that think?

How Smart Machines Think

Author : Sean Gerrish
Publisher : MIT Press
ISBN 13 : 0262537974
Total Pages : 313 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis How Smart Machines Think by : Sean Gerrish

Download or read book How Smart Machines Think written by Sean Gerrish and published by MIT Press. This book was released on 2019-10-22 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning—as seen in self-driving cars, Netflix recommendations, and more. 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.

Machines that Think

Author : Toby Walsh
Publisher : Prometheus Books
ISBN 13 : 1633883752
Total Pages : 338 pages
Book Rating : 4.6/5 (338 download)

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Book Synopsis Machines that Think by : Toby Walsh

Download or read book Machines that Think written by Toby Walsh and published by Prometheus Books. This book was released on 2018 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A scientist who has spent a career developing Artificial Intelligence takes a realistic look at the technological challenges and assesses the likely effect of AI on the future. How will Artificial Intelligence (AI) impact our lives? Toby Walsh, one of the leading AI researchers in the world, takes a critical look at the many ways in which "thinking machines" will change our world. Based on a deep understanding of the technology, Walsh describes where Artificial Intelligence is today, and where it will take us. * Will automation take away most of our jobs? * Is a "technological singularity" near? * What is the chance that robots will take over? * How do we best prepare for this future? The author concludes that, if we plan well, AI could be our greatest legacy, the last invention human beings will ever need to make.

Machines Who Think

Author : Pamela McCorduck
Publisher : CRC Press
ISBN 13 : 1040083102
Total Pages : 313 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machines Who Think by : Pamela McCorduck

Download or read book Machines Who Think written by Pamela McCorduck and published by CRC Press. This book was released on 2004-03-17 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.

Thinking Machines

Author : Luke Dormehl
Publisher : Penguin
ISBN 13 : 1524704415
Total Pages : 288 pages
Book Rating : 4.5/5 (247 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 288 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.

Giant brains; or, Machines that think

Author : Edmund Callis Berkeley
Publisher : Good Press
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.4/5 (66 download)

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Book Synopsis Giant brains; or, Machines that think by : Edmund Callis Berkeley

Download or read book Giant brains; or, Machines that think written by Edmund Callis Berkeley and published by Good Press. This book was released on 2023-07-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Giant brains; or, Machines that think" by Edmund Callis Berkeley. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

Deep Thinking

Author : Garry Kasparov
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.

Machines That Think!

Author : Don Brown
Publisher : Abrams
ISBN 13 : 1683358678
Total Pages : 128 pages
Book Rating : 4.6/5 (833 download)

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Book Synopsis Machines That Think! by : Don Brown

Download or read book Machines That Think! written by Don Brown and published by Abrams. This book was released on 2020-04-28 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Award-winning author Don Brown explores computers and technology in book two of the Big Ideas series Machines That Think! explores machines from ancient history to today that perform a multitude of tasks, from making mind-numbing calculations to working on assembly lines. Included are fascinating looks at the world’s earliest calculators, the birth of computer programming, and the arrival of smartphones. Contributors discussed include Muhammad ibn Musa al-Khwarizmi, Ada Lovelace, and Bill Gates. From the abacus to artificial intelligence, machines through the ages have pushed the boundaries of human capability and creativity. Back matter includes a timeline, endnotes, a bibliography, an author’s note, and an index.

Artificial Intelligence

Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)

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Book Synopsis Artificial Intelligence by : Melanie Mitchell

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.

Machines that Think

Author : New Scientist
Publisher : Nicholas Brealey
ISBN 13 : 1473658586
Total Pages : 224 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 Nicholas Brealey. This book was released on 2017-11-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: How did artificial intelligence become the most powerful technology on the planet? 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 realize 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.

The Big Nine

Author : Amy Webb
Publisher : PublicAffairs
ISBN 13 : 1541773748
Total Pages : 272 pages
Book Rating : 4.5/5 (417 download)

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Book Synopsis The Big Nine by : Amy Webb

Download or read book The Big Nine written by Amy Webb and published by PublicAffairs. This book was released on 2019-03-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 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: “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.

What To Do When Machines Do Everything

Author : Malcolm Frank
Publisher : John Wiley & Sons
ISBN 13 : 1119278678
Total Pages : 256 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis What To Do When Machines Do Everything by : Malcolm Frank

Download or read book What To Do When Machines Do Everything written by Malcolm Frank and published by John Wiley & Sons. This book was released on 2017-01-18 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.

How to Speak Machine

Author : John Maeda
Publisher : Penguin
ISBN 13 : 0399564438
Total Pages : 240 pages
Book Rating : 4.3/5 (995 download)

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Book Synopsis How to Speak Machine by : John Maeda

Download or read book How to Speak Machine written by John Maeda and published by Penguin. This book was released on 2019-11-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer. "Maeda is to design what Warren Buffett is to finance." --Wired John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias. How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products--while avoiding the pitfalls inherent to the medium.

The Next Fifty Years

Author : John Brockman
Publisher : Vintage
ISBN 13 : 0307429075
Total Pages : 320 pages
Book Rating : 4.3/5 (74 download)

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Book Synopsis The Next Fifty Years by : John Brockman

Download or read book The Next Fifty Years written by John Brockman and published by Vintage. This book was released on 2007-12-18 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brilliant ensemble of the world’s most visionary scientists provides twenty-five original never-before-published essays about the advances in science and technology that we may see within our lifetimes. Theoretical physicist and bestselling author Paul Davies examines the likelihood that by the year 2050 we will be able to establish a continuing human presence on Mars. Psychologist Mihaly Csikszentmihalyi investigates the ramifications of engineering high-IQ, geneticially happy babies. Psychiatrist Nancy Etcoff explains current research into the creation of emotion-sensing jewelry that could gauge our moods and tell us when to take an anti-depressant pill. And evolutionary biologist Richard Dawkins explores the probability that we will soon be able to obtain a genome printout that predicts our natural end for the same cost as a chest x-ray. (Will we want to read it? And will insurance companies and governments have access to it?) This fascinating and unprecedented book explores not only the practical possibilities of the near future, but also the social and political ramifications of the developments of the strange new world to come. Also includes original essays by: Lee Smolin Martin Rees Ian Stewart Brian Goodwin Marc D. Hauser Alison Gopnik Paul Bloom Geoffrey Miller Robert M. Sapolsky Steven Strogatz Stuart Kauffman John H. Holland Rodney Brooks Peter Atkins Roger C. Schank Jaron Lanier David Gelernter Joseph LeDoux Judith Rich Harris Samuel Barondes Paul W. Ewald

Who's Afraid of AI?

Author : Thomas Ramge
Publisher : The Experiment
ISBN 13 : 1615195505
Total Pages : 129 pages
Book Rating : 4.6/5 (151 download)

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Book Synopsis Who's Afraid of AI? by : Thomas Ramge

Download or read book Who's Afraid of AI? written by Thomas Ramge and published by The Experiment. This book was released on 2019-04-16 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars. In Who’s Afraid of AI?, award-winning author Thomas Ramge expertly explains how machines are learning to learn, and he questions what today’s explosion of AI capability could mean for tomorrow: Is it ethical to allow robots—endlessly patient—to replace human caregivers in providing comfort and companionship to the elderly? Since AI feeds on big data, can we prevent its misuse by corporations or the government? Will AI ever be capable of runaway self-improvement? And if “the singularity” does arrive, with AI’s intelligence exponentially outpacing our own, what will become of us when, in many ways, we’re obsolete?

Solomon's Code

Author : Olaf Groth
Publisher : Pegasus Books
ISBN 13 : 9781681778709
Total Pages : 0 pages
Book Rating : 4.7/5 (787 download)

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Book Synopsis Solomon's Code by : Olaf Groth

Download or read book Solomon's Code written by Olaf Groth and published by Pegasus Books. This book was released on 2018-11-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thought-provoking examination of artificial intelligence and how it reshapes human values, trust, and power around the world. Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. As we cede more decisions to thinking machines, we face new questions about staying safe, keeping a job and having a say over the direction of our lives. The answers to those questions might depend on your race, gender, age, behavior, or nationality. New AI technologies can drive cars, treat damaged brains and nudge workers to be more productive, but they also can threaten, manipulate, and alienate us from others. They can pit nation against nation, but they also can help the global community tackle some of its greatest challenges—from food crises to global climate change. In clear and accessible prose, global trends and strategy adviser Olaf Groth, AI scientist and social entrepreneur Mark Nitzberg, along with seasoned economics reporter Dan Zehr, provide a unique human-focused, global view of humanity in a world of thinking machines.