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The Millionth Algorithm: the runaway success of a foundational textbook

February 4, 2022

Charles E. Leiserson, the Edwin Sibley Webster Professor within the Department of EECS, recently received some tremendous news: Introduction to Algorithms, the textbook Leiserson coauthored with Tom Cormen,

Theoretical breakthrough could boost data storage

November 17, 2021

New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.

Professor Emeritus Paul Penfield, chronicler of entropy and lifelong teacher, dies at 88.

September 2, 2021

A long-time department head who established the MEng degree for EECS undergraduates, Penfield developed courses illuminating the equivalence of information and thermodynamic entropy.

MIT and Ericsson enter collaboration agreements to research the next generation of mobile networks

August 6, 2021

Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks.

QS ranks MIT the world’s No. 1 university for 2021-22

June 30, 2021

Image: Adam Glanzman MIT has again been named the world’s top university by the QS World University Rankings, which were announced today. This is the 10th year in

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Researchers’ algorithm designs soft robots that sense

March 25, 2021

MIT researchers have developed a deep learning neural network to aid the design of soft-bodied robots, such as these iterations of a robotic elephant. Image courtesy of the

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Retrofitting MIT’s deep learning “boot camp” for the virtual world

March 9, 2021

Graduate students Ava Soleimany (left) and Alexander Amini moved their popular IAP course on deep learning online this year, but still managed to work in some surprises. The

Tomás Palacios and Jonathan Ragan-Kelley

Two EECS Professors Named Intel 2020 Outstanding Researchers

March 8, 2021

From left to right: Tomás Palacios and Jonathan Ragan-Kelley Two EECS professors have been honored with the Intel 2020 Outstanding Researcher Awards. Tomás Palacios, Director of the 6-A

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A language learning system that pays attention — more efficiently than ever before

February 23, 2021

MIT researchers developed a hardware and software system that could reduce the computing power, energy, and time required for text analysis and generation. Image: Jose-Luis Olivares, MIT Human language

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Researchers develop speedier network analysis for a range of computer hardware

February 23, 2021

MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. Image: Istockphoto images edited by MIT News Graphs