How Smart Machines Think

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.

DOWNLOAD NOW »

Author: Sean Gerrish

Publisher: MIT Press

ISBN: 9780262537971

Category: Computers

Page: 312

View: 305

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

This book explores the history of artificial intelligence (A.I.), and how science fiction is quickly becoming science fact.

DOWNLOAD NOW »

Author: Joe Greek

Publisher: The Rosen Publishing Group, Inc

ISBN: 9781499438970

Category: Juvenile Nonfiction

Page: 48

View: 246

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.

Generatives Deep Learning

David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt.

DOWNLOAD NOW »

Author: David Foster

Publisher:

ISBN: OCLC:1151051275

Category:

Page: 310

View: 288

Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige der eindrucksvollsten generativen Deep-Learning-Modelle nachbilden wie z.B. Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs), Encoder-Decoder- sowie World-Modelle. David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt. Die zahlreichen praktischen Beispiele und Tipps helfen dem Leser herauszufinden, wie seine Modelle noch effizienter lernen und noch kreativer werden können.

30 Second AI and Robotics

A clear and exhaustive introduction for non-specialists, 30-Second AI & Robotics will help the reader to navigate the world of ubiquitous computers, smart cities, and collaborative robots.

DOWNLOAD NOW »

Author: Luis De Miranda

Publisher:

ISBN: 9781782405474

Category:

Page: 160

View: 130

This comprehensive presentation of the core concepts and historical landmarks in robotics and artificial intelligence is a must-read for those who want to understand the important changes happening now in our everyday lives, in the workplace, and in our minds and bodies. What is deep in "deep learning"? Can artificial intelligence really think? What will robots really look like in the near future? Is there a new class divide between those who understand technology and those who fear it? A clear and exhaustive introduction for non-specialists, 30-Second AI & Robotics will help the reader to navigate the world of ubiquitous computers, smart cities, and collaborative robots. At last, an optimistic and friendly book about our human possibilities in the time of automata.

Thinking Machines

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.

DOWNLOAD NOW »

Author: Luke Dormehl

Publisher: Penguin

ISBN: 9781524704414

Category: Computers

Page: 288

View: 874

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.

Artificial Intelligence

Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence.

DOWNLOAD NOW »

Author: Melanie Mitchell

Publisher: Penguin UK

ISBN: 9780241404843

Category: Computers

Page: 448

View: 282

'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael Gazzaniga A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humour, 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 even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible 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.

Artificial Intelligence Making Machines Learn

Do You want to learn Everything about Artificial Intelligence? This book is your answer!Fascination Artificial IntelligenceIt is crazy but at the same time fascinating at how smart machines have become in the last years.

DOWNLOAD NOW »

Author: Eckhart Wein

Publisher:

ISBN: 1980213682

Category:

Page: 31

View: 974

Do You want to learn Everything about Artificial Intelligence? This book is your answer!Fascination Artificial IntelligenceIt is crazy but at the same time fascinating at how smart machines have become in the last years. Machines that can learn to drive a car or machines that can learn to play chess are already a part of today`s possible technology. In the future the possibilities of Artificial Intelligence are endless. In a couple of years smart machines will be able to think just like humans do. In this book we take a closer look at how machines learn without going into too much technical details. We will compare the way machines learn to the way humans learn and you will be fascinated and surprised at how similar they are. We will explore the possibilites of this technology and also future risks. The contents we will cover are : Supervised Learning Unsupervised Learning Reinforcement Learning Convolutional Neural Network Recurrent Neural Network Deep Q-Learning Possible risks And much more! So get your copy right now for free and become fascinated with this amazing technology!

What to Think About Machines That Think

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 ...

DOWNLOAD NOW »

Author: Mr. John Brockman

Publisher: HarperCollins

ISBN: 9780062425669

Category: Science

Page: 576

View: 360

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?

Smart Machines

That's an exercise suggested by computing pioneer Alan Turing in his 1950 paper “Computing Machinery and Intelligence,” where he raised the question: “Can machines think?” He suggested that to test whether a machine can think, ...

DOWNLOAD NOW »

Author: John E. Kelly III

Publisher: Columbia University Press

ISBN: 9780231537278

Category: Computers

Page: 160

View: 320

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.

Smart Machines in Education

AI scientists use results from cognitive science to create software with more humanlike abilities, which can help students learn better. This book looks at some of the results of this synergy among AI, cognitive science, and education.

DOWNLOAD NOW »

Author: Kenneth D. Forbus

Publisher: American Association for Artif

ISBN: UOM:39015054246296

Category: Business & Economics

Page: 483

View: 858

The emerging widespread use of artificial intelligence in education. Multimedia, simulation, computer-mediated communication networks, and distance learning have all become part of the educational toolkit. The next major technology to change the face of education will be based on the widespread use of artificial intelligence (AI). Progress in AI has led to a deeper understanding of how to represent knowledge, to reason, and to describe procedural knowledge. Progress in cognitive science has led to a deeper understanding of how people think, solve problems, and learn. AI scientists use results from cognitive science to create software with more humanlike abilities, which can help students learn better. This book looks at some of the results of this synergy among AI, cognitive science, and education. Examples include virtual students whose misconceptions force students to reflect on their own knowledge, intelligent tutoring systems, and speech recognition technology that helps students learn to read. Some of the systems described are already used in classrooms and have been evaluated; a few are still laboratory efforts. The book also addresses cultural and political issues involved in the deployment of new educational technologies.