how smart machines think

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How Smart Machines Think

Author : Sean Gerrish
ISBN : 9780262038409
Genre : Computers
File Size : 50. 36 MB
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Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

Artificial Intelligence

Author : Joe Greek
ISBN : 9781499438970
Genre : Juvenile Nonfiction
File Size : 65. 31 MB
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For ages, the idea of machines that think and act on their own has gripped scientists, thinkers, and the general public. This book explores the history of artificial intelligence (A.I.), and how science fiction is quickly becoming science fact. It examines the technologies involved in A.I. and its inevitable effects on work, life, health, and many other aspects of human society. Rooted in history and science, this book provides an inside look at a topic that captivates engineers, scientists, and dreamers, but also raises important ethical issues and challenges how we see ourselves and our mechanical and computer creations.

Smart Machines In Education

Author : Kenneth D. Forbus
ISBN : 0262561417
Genre : Business & Economics
File Size : 34. 45 MB
Format : PDF
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The emerging widespread use of artificial intelligence in education.

Robots

Author : Rebecca Stefoff
ISBN : 0761426019
Genre : Juvenile Nonfiction
File Size : 35. 82 MB
Format : PDF
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Presents an introduction to robots that examines their place in human imagination throughout history, as well as the history and current status of their development and use.

Artificial Intelligence

Author : Melanie Mitchell
ISBN : 9780241404843
Genre : Computers
File Size : 33. 2 MB
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No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI requires such elusive human qualities in order to be reliable, trustworthy and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go, and what it means for all of our futures.

Smart Machines

Author : John E. Kelly III
ISBN : 9780231537278
Genre : Computers
File Size : 23. 71 MB
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We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM's Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice. In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of "big data," one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.

Playing Smart

Author : Julian Togelius
ISBN : 9780262039031
Genre : Games & Activities
File Size : 33. 92 MB
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A new vision of the future of games and game design, enabled by AI. Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM's Deep Blue and DeepMind's AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.

Human Machine

Author : Paul R. Daugherty
ISBN : 9781633693876
Genre : Computers
File Size : 83. 88 MB
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AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Future Smart

Author : James Canton
ISBN : 9780306822872
Genre : Business & Economics
File Size : 36. 56 MB
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Game-changing trends are coming in business, technology, workforce, economy, security, and environment. Climate change, energy demand, and population growth will redefine global risk and power. Exponential new technologies will emerge in digital money, mobile commerce, and big data. An explosive new middle class of over one billion consumers will enter the marketplace. Every nation, job, business, and person will be transformed. To thrive in this future you have to become predictive, adaptive, and agile—to become Future Smart. Dr. James Canton, a renowned global futurist and visionary business advisor, illuminates the pivotal forces and global power shifts that everyone must understand today to thrive in a rapidly changing landscape: Regenerative medicine will extend our lifetimes and rebuild our bodies Robots and drones will drive our cars, teach our kids, and fight our wars Smart machines will design, manage, and service 40% of all global businesses—energy, commerce, finance, and manufacturing—without humans Digital consumers who live always connected will challenge every business to change its strategy Climate change wars will redefine security and resources Most of us are not prepared to meet the challenges the future will bring, but these changes are coming fast. Armed with knowledge, those who are Future Smart can take action to reinvent themselves, their businesses, and their world.

Founders At Work

Author : Jessica Livingston
ISBN : 143021077X
Genre : Business & Economics
File Size : 64. 76 MB
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Now available in paperback—with a new preface and interview with Jessica Livingston about Y Combinator! Founders at Work: Stories of Startups' Early Days is a collection of interviews with founders of famous technology companies about what happened in the very earliest days. These people are celebrities now. What was it like when they were just a couple friends with an idea? Founders like Steve Wozniak (Apple), Caterina Fake (Flickr), Mitch Kapor (Lotus), Max Levchin (PayPal), and Sabeer Bhatia (Hotmail) tell you in their own words about their surprising and often very funny discoveries as they learned how to build a company. Where did they get the ideas that made them rich? How did they convince investors to back them? What went wrong, and how did they recover? Nearly all technical people have thought of one day starting or working for a startup. For them, this book is the closest you can come to being a fly on the wall at a successful startup, to learn how it's done. But ultimately these interviews are required reading for anyone who wants to understand business, because startups are business reduced to its essence. The reason their founders become rich is that startups do what businesses do—create value—more intensively than almost any other part of the economy. How? What are the secrets that make successful startups so insanely productive? Read this book, and let the founders themselves tell you.

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