Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.--Walter Isaacson, author of The Code Breaker Recipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIMEWhat does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:How far will we let it go?

    Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.

    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.

    After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layerperceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.

    This practical introduction illuminates new features and capabilities, with scenarios demonstrating how the platform can meet the needs of your business.Based on beta software, this book provides the early, high-level information you need to begin preparing now for deployment and management. Topics include:Virtualization and cloud solutions Availability Provisioning and storage management Security and scalability Infrastructure options Server administration

    Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    With little money and even even less nautical experience they leave their small-town home in Arkansas to embark on an adventure they hope will last for a year or two but which evolves into a quarter-century voyage of discovery spanning half the world. Come along with Randy and Cheryl as they cruise their small boat to intriguing destinations that you won’t find in any tourist brochure. Along the way they discover the best and worst the sailing life has to offer as they visit twenty-nine countries in the Caribbean, Central and South America and the South Pacific. Their adventures and misadventures include encounters with hurricanes, thieves, drug smugglers and a disastrous tsunami as well as lasting new friendships formed with local people and fellow sailors all along their route. Cruising under sail is a lifestyle like no other and though there are sometimes hardships, those who take the plunge will be rewarded with a life of adventure and freedom that may be impossible to find any other way in the modern world.

    Then, inexplicably, the humans vanished. They just went away. All that is left of the human empire are the cybertanks who, in their own way, keep the human civilization alive. With an intelligence based on the human psyche, the cybertanks continue to defend human space, but also perform scientific research, create art, form committees and ponder the universe. These are the stories of one of the first cybertanks, known to his friends as “Old Guy.” He has outlived most of his peers, and has had a wealth of experiences over his long life, but he is starting to slowly become obsolete. Join him and his comrades Double-Wide, Whiffle-Bat, Smoking Hole, Mondocat, and Bob, as they live and love and fight alien enemies such as the Amok, the Yllg, and the Fructoids.

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    But one young man from beyond the galaxy's edge brings hope.Ely Hale returns to the Earth with a desperate plea from his father: Take his son to Stacy Ibarra and remove the Qa’resh technology embedded in his skull before it kills him. Ely awakens to a world turned prison planet, and the Geist invaders have their own designs on the device he carries.Only the Ibarra Crusade stands against the darkness, and they are losing the war. When the Crusade’s few remaining agents learn of Ely’s return, they launch a final, desperate attempt to steal him off world and out of the Geist’s clutches.Ely isn’t a warrior, but the Hale name comes with high expectations…and carries hope for all of humanity.The Ember War Saga continues with this first novel in the Ibarra Crusade.

    Searching for uninhabited islands, blue holes, serenity, surf, and natural beauty, the author encounters all this, as well as foul weather, sharks, a near-death experience, beautiful sunsets, enchanting islands, a hermit, friendly sailors, coral reefs, whales, eels, and an old friend. The reader will feel the power of the ocean and the exhilaration of the wind in the sails, the hand on the tiller, and the spray in the face. We will travel to the bottom of the ocean in blue holes and poke our heads into caves that lead to the depths the earth. We will ride waves alone on an offshore reef. We will face beasts who are considering whether or not to eat us. We will meditate in a stone hermitage on top of the highest hill in The Bahamas. We will face our fears and reap the rewards in the currency of nature. Solo-sailing technique is occasionally discussed, and both successes and mistakes are included. Descriptions and GPS coordinates of all anchorages and islands visited are included. Islands visited include Eleuthera, Cat Island, Long Island, Water Cay, Flamingo Cay (the Jumentos Cays), Raccoon Cay, Buenavista Cay, Hog Cay (the Ragged Islands) Rum Cay, Conception Island, Georgetown, Little Galliot Cay, Bitter Guana Cay, Warderick Wells, Shroud Cay, Highbourne Cay (the Exumas), Bird Cay (the Berry Islands), New Providence, and Gun Cay. Step outside of your comfort zone and come along for the ride!

    Is it her husband or her best friend?Recurring dreams of a car crash make sleep a nightmare for Juliette. The true nightmare begins when she wakes up, but loving husband Robin is by her side to help her remember… and forget.He’s the love of her life and he’s vowed he will never leave her and he’s true to his word. But, Robin doesn’t know everything and it’s up to best friend Stephen to fill in the gaps.Do we ever really know the people we love? Do we ever really know the people who love us?If you’re a fan of BA Paris, Mark Edwards, Clare Mackintosh or Lucy Clarke, don’t miss this tale of family secrets, lies and obsession. What readers are saying:‘An unputdownable psychological thriller with twists and turns all the way through, a great read.’‘A dark thriller to grip your imagination.’‘Just when I had worked out the ending it all changed.’‘Original in story and the characters were so easy to love, hate and scream at in your head.’‘Twisty and turny - in a good way!’