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AS HEARD ON NPR'S "SCIENCE FRIDAY" Discover the book that Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant want you to read this year, 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

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Genre: Computers
Author: Janelle Shane
Publisher: Voracious
Release: 2019-11-05
File: 272 Pages
ISBN-13: 9780316525237

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AS HEARD ON NPR'S "SCIENCE FRIDAY" Discover the book that Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant want you to read this year, 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

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Genre: Computers
Author: Janelle Shane
Publisher: Hachette UK
Release: 2019-11-05
File: 272 Pages
ISBN-13: 9780316525237

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'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 and Option B AI is everywhere. It powers the autocorrect function of your iPhone, helps Google Translate understand the complexity of language, and interprets your behaviour to decide which of your friends' Facebook posts you most want to see. In the coming years, it'll perform medical diagnoses and drive your car - and maybe even help our authors write the first lines of their novels. But how does it actually work? Scientist and engineer, Janelle Shane, is the go-to contributor about computer science for the New York Times, Slate, and the New Yorker. Through her hilarious experiments, real-world examples, and illuminating cartoons, she explains how AI understands our world, and what it gets wrong. More than just a working knowledge of AI, she hands readers the tools to be skeptical about claims of a smarter future. A comprehensive study of the cutting-edge technology that will soon power our world, You Look Like a Thing and I Love You is an accessible and hilarious exploration of the future of technology and society. It's Astrophysics for People In a Hurry meets Thing Explainer: an approachable guide to a fascinating scientific topic, presented with clarity, levity, and brevity by an expert in the field with a powerful and growing platform.

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Genre: Science
Author: Janelle Shane
Publisher: Hachette UK
Release: 2019-11-05
File: 272 Pages
ISBN-13: 9781472269003

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An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

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Genre: Computers
Author: John D. Kelleher
Publisher: MIT Press
Release: 2019-09-10
File: 296 Pages
ISBN-13: 9780262537551

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Reprinted Edition "Enticing." --Romantic Times "Captivating." --Publishers Weekly In the coastal hideaway of Clare Point, Delaware--home for centuries to the Kahill vampire clan--a vampire sworn to protection will make the ultimate choice. . . Voracious After months spent eliminating some of the world's most ruthless criminals, Aedan Brigid is on sabbatical in Clare Point. Instead of relief, he feels on edge. Part of it is due to Dallas York, the gorgeous blonde bar owner whose touch just sparked an intense, inexplicable connection. But there's another reason too. Centuries ago, Aedan lost his beloved to a depraved monster nicknamed Jay. Now Jay is back, more vicious than ever. Aedan is already breaking clan rules by getting involved with Dallas--even if her mysterious gift sets her apart from other humans. And soon, he'll have to decide whether he'll turn away from the only life he's known to protect a love he thought he'd never feel again. . .

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Genre: Fiction
Author: V.K. Forrest
Publisher: Kensington Publishing Corp.
Release: 2013-09-01
File: 304 Pages
ISBN-13: 9781420133950

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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.

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Genre: Computers
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
Release: 2019-10-15
File: 336 Pages
ISBN-13: 9780374715236

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How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

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Genre: Computers
Author: Terrence J. Sejnowski
Publisher: MIT Press
Release: 2018-10-23
File: 352 Pages
ISBN-13: 9780262038034

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From the author of Are You Smart Enough to Work at Google?, a fascinating look at how an equation that foretells the future is transforming everything we know about life, business, and the universe. In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes' formula has become a linchpin of the digital economy. But here's where things get really interesting: Bayes' theorem can also be used to lay odds on the existence of extraterrestrial intelligence; on whether we live in a Matrix-like counterfeit of reality; on the "many worlds" interpretation of quantum theory being correct; and on the biggest question of all: how long will humanity survive? The Doomsday Calculation tells how Silicon Valley's profitable formula became a controversial pivot of contemporary thought. Drawing on interviews with thought leaders around the globe, it's the story of a group of intellectual mavericks who are challenging what we thought we knew about our place in the universe. The Doomsday Calculation is compelling reading for anyone interested in our culture and its future.

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Genre: Science
Author: William Poundstone
Publisher: Little, Brown Spark
Release: 2019-06-04
File: 320 Pages
ISBN-13: 9780316440714

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Whatever your favourite tipple, when you pour yourself a drink, you have the past in a glass. You can likely find them all in your own kitchen — beer, wine, spirits, coffee, tea, cola. Line them up on the counter, and there you have it: thousands of years of human history in six drinks. Tom Standage opens a window onto the past in this tour of six beverages that remain essentials today. En route he makes fascinating forays into the byways of western culture: Why were ancient Egyptians buried with beer? Why was wine considered a “classier” drink than beer by the Romans? How did rum grog help the British navy defeat Napoleon? What is the relationship between coffee and revolution? And how did Coca-Cola become the number one poster-product for globalization decades before the term was even coined? From the Hardcover edition.

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Genre: History
Author: Tom Standage
Publisher: Anchor Canada
Release: 2010-01-08
File: 320 Pages
ISBN-13: 9780307375117

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The new novel from the best-selling author of I Don’t Know How She Does It takes us on an unforgettable journey into first love, and—with the emotional intensity and penetrating wit that have made her beloved among readers all over the world—reminds us of how the ardor of our youth can ignite our adult lives. Wales, 1974. Petra and Sharon, two thirteen-year-old girls, are obsessed with David Cassidy. His fan magazine is their Bible, and some days his letters are the only things that keep them going as they struggle through the humiliating daily rituals of adolescence—confronting their bewildering new bodies, fighting with mothers who don’t understand them at all. Together they tackle the Ultimate David Cassidy Quiz, a contest whose winners will be flown to America to meet Cassidy in person. London, 1998. Petra is pushing forty, on the brink of divorce, and fighting with her own thirteen-year-old daughter when she discovers a dusty letter in her mother’s closet declaring her the winner of the contest she and Sharon had labored over with such hope and determination. More than twenty years later, twenty pounds heavier, bruised by grief and the disappointments of middle age, Petra reunites with Sharon for an all-expenses-paid trip to Las Vegas to meet their teen idol at last, and finds her life utterly transformed. Funny, moving, full of beautiful observations about the awakenings of both youth and middle age, Allison Pearson’s long-awaited new novel will speak across generations to mothers and daughters and women of all ages.

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Genre: Fiction
Author: Allison Pearson
Publisher: Anchor
Release: 2011-02-08
File: 336 Pages
ISBN-13: 9780307595409

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