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The Massachusetts Institute of Technology's Laboratory for Computer Science (LCS) hasbeen responsible for some of the most significant technological achievements of the past fewdecades. Much of the hardware and software driving the information revolution has been, andcontinues to be, created at LCS. Anyone who sends and receives email, communicates with colleaguesthrough a LAN, surfs the Web, or makes decisions using a spreadsheet is benefiting from thecreativity of LCS members.LCS is an interdepartmental laboratory that brings together faculty,researchers, and students in a broad program of study, research, and experimentation. Theirprincipal goal is to pursue innovations in information technology that will improve people's lives.LCS members have been instrumental in the development of ARPAnet, the Internet, the Web, Ethernet,time-shared computers, UNIX, RSA encryption, the X Windows system, NuBus, and many othertechnologies.This book, published in celebration of LCS's thirty-fifth anniversary, chronicles itshistory, achievements, and continued importance to computer science. The essays are complemented byhistorical photographs.
Research Directions in Computer Science celebrates the twenty-fifth anniversary of the founding of MIT's Project MAC. It covers the full range of ongoing computer science research at the MIT Laboratory for Computer Science and the MIT Artificial Intelligence Laboratory, both of which grew out of the original Project MAC. Leading researchers from the faculties and staffs of the laboratories highlight current research and future activities in multiprocessors and parallel computer architectures, in languages and systems for distributed computing, in intelligent systems (AI) and robotics, in complexity and learning theory, in software methodology, in programming language theory, in software for engineering research and education, and in the relation between computers and economic productivity. ContributorsAbelson, Arvind, Rodney Brooks, David Clark, Fernando Corbato, William Daily, Michael Dertouzos, John Guttag, Berthold K. P. Horn, Barbara Liskov, Albert Meyer, Nicholas Negroponte, Marc Raibert, Ronald Rivest, Michael Sipser, Gerald Sussman, Peter Szolovits, and John Updike
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We ...
Why the Internet was designed to be the way it is, and how it could be different, now and in the future. How do you design an internet? The architecture of the current Internet is the product of basic design decisions made early in its history. What would an internet look like if it were designed, today, from the ground up? In this book, MIT computer scientist David Clark explains how the Internet is actually put together, what requirements it was designed to meet, and why different design decisions would create different internets. He does not take today's Internet as a given but tries to learn from it, and from alternative proposals for what an internet might be, in order to draw some gene...
A guide to the Semantic Web, which will transform the Web into a structured network of resources organized by meaning and relationships.
Most people associate artificial intelligence with IBM's Deep Blue playing chess against a world champion or Watson winning a Jeopardy competition, but AI is becoming a part of everyday life. This volume explores the applications of cutting-edge AI technology, incorporating examples particularly relevant to teens. It is used in facial recognition software in social media platforms, digital assistants on mobile devices, and fraud detection related to financial transactions. Autonomous vehicles and smart power grids are in development. The potential drawbacks of artificial intelligence, such as loss of jobs, privacy concerns, and bias in algorithms are also examined.
With a foreword by Gitanjali Rao, Time Magazine’s inaugural Kid of the Year, this engaging guide from MITeen Press teaches anyone to design and publish their own apps—no experience necessary!—and introduces young app creators from around the world. Have you ever wanted to build your own mobile apps? App Inventor, a free and revolutionary online program from MIT, lets you do just that. With the help of this companion guide chock-full of colorful graphics and easy-to-follow instructions, readers can learn how to create six different apps, including a working piano, a maze game, and even their own chat app to communicate with friends—then use what they’ve learned to build apps of thei...
According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this...
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
The next generation of robots will be truly social, but can we make sure that they play well in the sandbox? Most robots are just tools. They do limited sets of tasks subject to constant human control. But a new type of robot is coming. These machines will operate on their own in busy, unpredictable public spaces. They'll ferry deliveries, manage emergency rooms, even grocery shop. Such systems could be truly collaborative, accomplishing tasks we don't do well without our having to stop and direct them. This makes them social entities, so, as robot designers Laura Major and Julie Shah argue, whether they make our lives better or worse is a matter of whether they know how to behave. What to Expect When You're Expecting Robots offers a vision for how robots can survive in the real world and how they will change our relationship to technology. From teaching them manners, to robot-proofing public spaces, to planning for their mistakes, this book answers every question you didn't know you needed to ask about the robots on the way.