The Darpa Urban Challenge

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The DARPA Urban Challenge

Author : Martin Buehler
Publisher : Springer Science & Business Media
ISBN 13 : 3642039901
Total Pages : 651 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis The DARPA Urban Challenge by : Martin Buehler

Download or read book The DARPA Urban Challenge written by Martin Buehler and published by Springer Science & Business Media. This book was released on 2009-11-11 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the dawn of the new millennium, robotics has undergone a major transformation in scope and dimensions. This expansion has been brought about by the maturity of the field and the advances in its related technologies. From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities, providing support in services, entertainment, education, healthcare, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field.

The DARPA Urban Challenge

Author : Martin Buehler
Publisher : Springer
ISBN 13 : 364203991X
Total Pages : 628 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis The DARPA Urban Challenge by : Martin Buehler

Download or read book The DARPA Urban Challenge written by Martin Buehler and published by Springer. This book was released on 2009-11-26 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the dawn of the new millennium, robotics has undergone a major transformation in scope and dimensions. This expansion has been brought about by the maturity of the field and the advances in its related technologies. From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities, providing support in services, entertainment, education, healthcare, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field.

The DARPA Urban Challenge

Author : Martin Buehler
Publisher : Springer
ISBN 13 : 9783642261312
Total Pages : 0 pages
Book Rating : 4.2/5 (613 download)

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Book Synopsis The DARPA Urban Challenge by : Martin Buehler

Download or read book The DARPA Urban Challenge written by Martin Buehler and published by Springer. This book was released on 2012-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the dawn of the new millennium, robotics has undergone a major transformation in scope and dimensions. This expansion has been brought about by the maturity of the field and the advances in its related technologies. From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities, providing support in services, entertainment, education, healthcare, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field.

Experience from the DARPA Urban Challenge

Author : Christopher Rouff
Publisher : Springer
ISBN 13 : 9781447162322
Total Pages : 320 pages
Book Rating : 4.1/5 (623 download)

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Book Synopsis Experience from the DARPA Urban Challenge by : Christopher Rouff

Download or read book Experience from the DARPA Urban Challenge written by Christopher Rouff and published by Springer. This book was released on 2013-11-29 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experience from the DARPA Urban Challenge provides details of the types of systems, software and processes that were used to develop the complex unmanned vehicles that participated in the DARPA Urban Challenge. The vehicle developers explain how autonomous vehicle software in this race was designed and implemented. The chapters range from system and software architecture, navigation, path planning, steering, perception, engineering autonomous systems, and testing and performance evaluation. This book is based on papers from entrants in the Urban Challenge. The content is broken into five parts: an introduction to the DARPA Urban Challenge; systems and software architectures; navigation; control and sensors; and development and test. Experience from the DARPA Urban Challenge provides graduate students in robotics and engineering professionals with an insight into multiple ways of approaching the development of autonomous vehicles.

The 2005 DARPA Grand Challenge

Author : Martin Buehler
Publisher : Springer Science & Business Media
ISBN 13 : 3540734287
Total Pages : 1103 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis The 2005 DARPA Grand Challenge by : Martin Buehler

Download or read book The 2005 DARPA Grand Challenge written by Martin Buehler and published by Springer Science & Business Media. This book was released on 2007-09-06 with total page 1103 pages. Available in PDF, EPUB and Kindle. Book excerpt: The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough Nevada terrain. It showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005 and drew teams of competitors from academia and industry, as well as many garage hobbyists. This book presents fifteen technical papers that describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology and offer a glimpse of future technology for tomorrow’s driverless cars.

The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue

Author : Matthew Spenko
Publisher : Springer
ISBN 13 : 3319746669
Total Pages : 684 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue by : Matthew Spenko

Download or read book The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue written by Matthew Spenko and published by Springer. This book was released on 2018-04-09 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The DARPA Robotics Challenge was a robotics competition that took place in Pomona, California USA in June 2015. The competition was the culmination of 33 months of demanding work by 23 teams and required humanoid robots to perform challenging locomotion and manipulation tasks in a mock disaster site. The challenge was conceived as a response to the Japanese Fukushima nuclear disaster of March 2011. The Fukushima disaster was seen as an ideal candidate for robotic intervention since the risk of exposure to radiation prevented human responders from accessing the site. This volume, edited by Matthew Spenko, Stephen Buerger, and Karl Iagnemma, includes commentary by the organizers, overall analysis of the results, and documentation of the technical efforts of 15 competing teams. The book provides an important record of the successes and failures involved in the DARPA Robotics Challenge and provides guidance for future needs to be addressed by policy makers, funding agencies, and the robotics research community. Many of the papers in this volume were initially published in a series of special issues of the Journal of Field Robotics. We have proudly collected versions of those papers in this STAR volume.

Daemon

Author : Daniel Suarez
Publisher : Penguin
ISBN 13 : 1101007516
Total Pages : 640 pages
Book Rating : 4.1/5 (1 download)

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Book Synopsis Daemon by : Daniel Suarez

Download or read book Daemon written by Daniel Suarez and published by Penguin. This book was released on 2009-01-08 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Daniel Suarez’s New York Times bestselling debut high-tech thriller is “so frightening even the government has taken note” (Entertainment Weekly). Daemons: computer programs that silently run in the background, waiting for a specific event or time to execute. They power almost every service. They make our networked world possible. But they also make it vulnerable... When the obituary of legendary computer game architect Matthew Sobol appears online, a previously dormant daemon activates, initiating a chain of events that begins to unravel our interconnected world. This daemon reads news headlines, recruits human followers, and orders assassinations. With Sobol’s secrets buried with him, and as new layers of his daemon are unleashed, it’s up to Detective Peter Sebeck to stop a self-replicating virtual killer before it achieves its ultimate purpose—one that goes far beyond anything Sebeck could have imagined...

Probabilistic Robotics

Author : Sebastian Thrun
Publisher : MIT Press
ISBN 13 : 0262201623
Total Pages : 668 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Probabilistic Robotics by : Sebastian Thrun

Download or read book Probabilistic Robotics written by Sebastian Thrun and published by MIT Press. This book was released on 2005-08-19 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Computer Vision for Biomedical Image Applications

Author : Yanxi Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3540294112
Total Pages : 577 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Computer Vision for Biomedical Image Applications by : Yanxi Liu

Download or read book Computer Vision for Biomedical Image Applications written by Yanxi Liu and published by Springer Science & Business Media. This book was released on 2005-10-10 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, CVBIA 2005, held in Beijing, China, in October 2005 within the scope of ICCV 20.

Autonomous Vehicle Technology

Author : James M. Anderson
Publisher : Rand Corporation
ISBN 13 : 0833084372
Total Pages : 214 pages
Book Rating : 4.8/5 (33 download)

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Book Synopsis Autonomous Vehicle Technology by : James M. Anderson

Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

Applied Deep Learning and Computer Vision for Self-Driving Cars

Author : Sumit Ranjan
Publisher : Packt Publishing Ltd
ISBN 13 : 1838647023
Total Pages : 320 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Applied Deep Learning and Computer Vision for Self-Driving Cars by : Sumit Ranjan

Download or read book Applied Deep Learning and Computer Vision for Self-Driving Cars written by Sumit Ranjan and published by Packt Publishing Ltd. This book was released on 2020-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.

Automotive Systems and Software Engineering

Author : Yanja Dajsuren
Publisher : Springer
ISBN 13 : 3030121577
Total Pages : 367 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Automotive Systems and Software Engineering by : Yanja Dajsuren

Download or read book Automotive Systems and Software Engineering written by Yanja Dajsuren and published by Springer. This book was released on 2019-07-17 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art, challenges and future trends in automotive software engineering. The amount of automotive software has grown from just a few lines of code in the 1970s to millions of lines in today’s cars. And this trend seems destined to continue in the years to come, considering all the innovations in electric/hybrid, autonomous, and connected cars. Yet there are also concerns related to onboard software, such as security, robustness, and trust. This book covers all essential aspects of the field. After a general introduction to the topic, it addresses automotive software development, automotive software reuse, E/E architectures and safety, C-ITS and security, and future trends. The specific topics discussed include requirements engineering for embedded software systems, tools and methods used in the automotive industry, software product lines, architectural frameworks, various related ISO standards, functional safety and safety cases, cooperative intelligent transportation systems, autonomous vehicles, and security and privacy issues. The intended audience includes researchers from academia who want to learn what the fundamental challenges are and how they are being tackled in the industry, and practitioners looking for cutting-edge academic findings. Although the book is not written as lecture notes, it can also be used in advanced master’s-level courses on software and system engineering. The book also includes a number of case studies that can be used for student projects.

Autonomous Intelligent Vehicles

Author : Hong Cheng
Publisher : Springer Science & Business Media
ISBN 13 : 9781447122807
Total Pages : 154 pages
Book Rating : 4.1/5 (228 download)

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Book Synopsis Autonomous Intelligent Vehicles by : Hong Cheng

Download or read book Autonomous Intelligent Vehicles written by Hong Cheng and published by Springer Science & Business Media. This book was released on 2011-11-15 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

Creating Autonomous Vehicle Systems

Author : Shaoshan Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681730081
Total Pages : 198 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Creating Autonomous Vehicle Systems by : Shaoshan Liu

Download or read book Creating Autonomous Vehicle Systems written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2017-10-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency

Author : William Boone Bonvillian
Publisher : Open Book Publishers
ISBN 13 : 1783747943
Total Pages : 306 pages
Book Rating : 4.7/5 (837 download)

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Book Synopsis The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency by : William Boone Bonvillian

Download or read book The DARPA Model for Transformative Technologies: Perspectives on the U.S. Defense Advanced Research Projects Agency written by William Boone Bonvillian and published by Open Book Publishers. This book was released on 2020-01-09 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors have done a masterful job of charting the important story of DARPA, one of the key catalysts of technological innovation in US recent history. By plotting the development, achievements and structure of the leading world agency of this kind, this book stimulates new thinking in the field of technological innovation with bearing on how to respond to climate change, pandemics, cyber security and other global problems of our time. The DARPA Model provides a useful guide for governmental agency and policy leaders, and for anybody interested in the role of governments in technological innovation. —Dr. Kent Hughes, Woodrow Wilson International Center for Scholars This volume contains a remarkable collection of extremely insightful articles on the world’s most successful advanced technology agency. Drafted by the leading US experts on DARPA, it provides a variety of perspectives that in turn benefit from being presented together in a comprehensive volume. It reviews DARPA’s unique role in the U.S. innovation system, as well as the challenges DARPA and its clones face today. As the American model is being considered for adoption by a number of countries worldwide, this book makes a welcome and timely contribution to the policy dialogue on the role played by governments in stimulating technological innovation. — Prof. Charles Wessner, Georgetown University The U.S. Defense Advanced Research Projects Agency (DARPA) has played a remarkable role in the creation new transformative technologies, revolutionizing defense with drones and precision-guided munitions, and transforming civilian life with portable GPS receivers, voice-recognition software, self-driving cars, unmanned aerial vehicles, and, most famously, the ARPANET and its successor, the Internet. Other parts of the U.S. Government and some foreign governments have tried to apply the ‘DARPA model’ to help develop valuable new technologies. But how and why has DARPA succeeded? Which features of its operation and environment contribute to this success? And what lessons does its experience offer for other U.S. agencies and other governments that want to develop and demonstrate their own ‘transformative technologies’? This book is a remarkable collection of leading academic research on DARPA from a wide range of perspectives, combining to chart an important story from the Agency’s founding in the wake of Sputnik, to the current attempts to adapt it to use by other federal agencies. Informative and insightful, this guide is essential reading for political and policy leaders, as well as researchers and students interested in understanding the success of this agency and the lessons it offers to others.

Autonomous Driving

Author : Markus Maurer
Publisher : Springer
ISBN 13 : 3662488477
Total Pages : 706 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Autonomous Driving by : Markus Maurer

Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

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.