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MIT Computer Science and Artificial Intelligence Laboratory

MIT Computer Science and Artificial Intelligence Laboratory is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand MIT Computer Science and Artificial Intelligence Laboratory rather than just read about it. In short: Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory (AI Lab). Housed within the Ray and Maria Stata Center, CSAIL is the largest on-campus laboratory as measured by research scope and membership.

MIT Computer Science and Artificial Intelligence Laboratory — main illustration
MIT Computer Science and Artificial Intelligence Laboratory — illustration

Key takeaways

  • MIT Computer Science and Artificial Intelligence Laboratory belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect MIT Computer Science and Artificial Intelligence Laboratory to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of MIT Computer Science and Artificial Intelligence Laboratory from memory before moving on to harder problems.

Reference excerpt

Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory (AI Lab). Housed within the Ray and Maria Stata Center, CSAIL is the largest on-campus laboratory as measured by research scope and membership. It is part of the Schwarzman College of Computing but is also overseen by the MIT Vice President of Research.

Research activities CSAIL's research activities are organized around a number of semi-autonomous research groups, each of which is headed by one or more professors or research scientists. These groups are divided up into seven general areas of research:

Artificial intelligence Computational biology Graphics and vision Language and learning Theory of computation Robotics Systems (includes computer architecture, databases, distributed systems, networks and networked systems, operating systems, programming methodology, and software engineering, among others)

History Computing Research at MIT began with Vannevar Bush's research into a differential analyzer and Claude Shannon's electronic Boolean algebra in the 1930s, the wartime MIT Radiation Laboratory, the post-war Project Whirlwind and the Research Laboratory of Electronics (RLE), and MIT Lincoln Laboratory's SAGE in the early 1950s. At MIT, research in the field of artificial intelligence began in the late 1950s.

Project MAC On July 1, 1963, Project MAC was launched with a $2 million grant from the Defense Advanced Research Projects Agency (DARPA). According to the MIT archives:

They chose the project name MAC in 1963 because it is an acronym for several significant phrases describing the project and its goals. "Machine-Aided Cognition" was the broad objective. A "Multiple-Access Computer" was the principal tool. "Men and Computers" were the essential partners in the expected symbiosis, a term used by J. C. R. Licklider in his 1960 paper entitled "Man-Computer Symbiosis." Project MAC's first director was Robert Fano of RLE. Fano called MAC a "project" rather than a "laboratory" for reasons of internal MIT politics – if MAC had been called a laboratory, it would have been more difficult to raid other MIT departments for research staff. The DARPA program manager was J. C. R. Licklider, who had previously been at RLE, and who later succeeded Fano as director of Project MAC. Project MAC became famous for groundbreaking research in operating systems, artificial intelligence, and the theory of computation. Its contemporaries included Project Genie at Berkeley, the Stanford Artificial Intelligence Laboratory, and (somewhat later) University of Southern California's (USC's) Information Sciences Institute. An "AI Group" including Marvin Minsky (the director), John McCarthy (inventor of Lisp), and a community of computer programmers were incorporated into Project MAC. They were interested principally in the problems of vision, mechanical motion and manipulation, and language, which they view as the keys to more intelligent machines. In the 1960s and 1970s the AI Group developed a time-sharing operating system called Incompatible Timesharing System (ITS) which ran on PDP-6 and later PDP-10 computers. The early Project MAC community included Fano, Minsky, Licklider, Fernando J. Corbató, and a community of computer programmers and enthusiasts among others who were inspired by John McCarthy. They envisioned the creation of a computer utility whose computational power would be as reliable as an electric utility. To this end, Corbató brought the first computer time-sharing system, Compatible Time-Sharing System (CTSS), with him from the MIT Computation Center, using the DARPA funding to purchase an IBM 7094 for research use. CTSS was described in an article on time sharing in Scientific American's 1966 special issue on "Information". It had approximately 100 TTY terminals, mostly on campus but with a few in private homes. About 30 users could be logged in at the same time. The project enlisted students in various classes to use the terminals simultaneously in problem solving, simulations, and multi-terminal communications as tests for the multi-access computing software being developed. One of the early focuses of Project MAC was the development of a successor to CTSS, Multics, which became the first high availability computer system, and a testing ground for the concept of a security kernel. It was initially developed as a part of an industry consortium including General Electric, Bell Laboratories. Following Bell's departure from the project in 1969 and GE's exit from the computer industry in 1970, Project MAC continued to develop Multics throughout the 1970s with Honeywell.

AI Lab and the Laboratory for Computer Science In the late 1960s, Minsky's artificial intelligence group sought more space, and was unable to get satisfaction from project director Licklider. Minsky found that although Project MAC as a single entity could not get the additional space he wanted, he could split off to form his own laboratory and then be entitled to more office space. As a result, the MIT AI Lab was formed in 1970, and many of Minsky's AI colleagues left Project MAC to join him in the new laboratory. Programmers such as Richard Stallman, who used TECO to develop EMACS, flourished in the AI Lab during this time. The AI Lab invented Lisp machines, which were commercialized by Symbolics and Lisp Machines Inc. in the 1980s. Project MAC itself was officially re-named the Laboratory for Computer Science (LCS) in 1976. Participants continued their research into operating systems, programming languages, distributed systems, security kernels, and the theory of computation. Two professors, Hal Abelson and Gerald Jay Sussman, formed a smaller group positioned between the two. Officially called the MIT Project on Mathematics and Computation (creating a backronym for the discontinued designation "Project MAC"), it was given the playful nickname of "Switzerland" for its ostensible neutrality.

… excerpt ends here. Continue reading the full article.

Illustrations

MIT Computer Science and Artificial Intelligence Laboratory illustration
MIT Computer Science and Artificial Intelligence Laboratory illustration

Worked examples

Example 1 — a first encounter with MIT Computer Science and Artificial Intelligence Laboratory

Start with the simplest possible case. Write down what MIT Computer Science and Artificial Intelligence Laboratory claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to MIT Computer Science and Artificial Intelligence Laboratory before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about MIT Computer Science and Artificial Intelligence Laboratory ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of MIT Computer Science and Artificial Intelligence Laboratory

In research
MIT Computer Science and Artificial Intelligence Laboratory appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses MIT Computer Science and Artificial Intelligence Laboratory in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
MIT Computer Science and Artificial Intelligence Laboratory is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2003 establishments in Massachusetts, 2003 in computing, Artificial intelligence industry in the United States, so understanding it makes those chapters shorter.
In everyday life
Look for MIT Computer Science and Artificial Intelligence Laboratory outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study MIT Computer Science and Artificial Intelligence Laboratory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what MIT Computer Science and Artificial Intelligence Laboratory means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain MIT Computer Science and Artificial Intelligence Laboratory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is MIT Computer Science and Artificial Intelligence Laboratory in simple terms?

Computer Science and Artificial Intelligence Laboratory (CSAIL) is a research institute at the Massachusetts Institute of Technology (MIT) formed by the 2003 merger of the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory (AI Lab). Housed within the Ray and Maria Stat…

Why does MIT Computer Science and Artificial Intelligence Laboratory matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study MIT Computer Science and Artificial Intelligence Laboratory?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on MIT Computer Science and Artificial Intelligence Laboratory.

Tags

  • 2003 establishments in Massachusetts
  • 2003 in computing
  • Artificial intelligence industry in the United States
  • Computer science departments in the United States
  • Computer science institutes
  • Computer science institutes in the United States
  • History of artificial intelligence
  • Laboratories in the United States
  • MIT Computer Science and Artificial Intelligence Laboratory people
  • Research institutes in Massachusetts
  • Robotics organizations
  • Scientific organizations established in 2003

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