Electrical Engineering and Computer Science

Researchers at MIT and the University of California at San Diego have delivered artificial genetic circuits into bacteria, allowing the microbes to kill cancer cells in three different ways. Here, an image of a motherboard has been micropatterned using programmable probiotic bacteria. The bright lines are composed of dots made of bacteria. This technique was developed in the lab of MIT professor S...

Cancer-fighting bacteria

Engineers program E. coli to destroy tumor cells.

July 20, 2016

JuliaCon attendees gather in the amphitheater outside of MIT's Computer Science and Artificial Intelligence Laboratory.

JuliaCon draws global users of a dynamic, easy-to-learn programming language

Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.

July 18, 2016

Robert Fano's work on information theory and time-sharing computers were vital precursors to today's computing technologies.

Robert Fano, computing pioneer and founder of CSAIL, dies at 98

Professor emeritus helped launch field of information theory and developed early time-sharing computers.

July 15, 2016

A new system that can anticipate room assignments and suggest which nurses to assign to patients for C-sections and other procedures provided satisfactory recommendations to nurses 90 percent of the time.

Robot helps nurses schedule tasks on labor floor

System from Computer Science and Artificial Intelligence Lab suggests where to move patients and who should do C-sections.

July 13, 2016

“It’s intuitive that if a bunch of people are randomly walking around an area, the number of times they bump into each other will be a surrogate of the population density,” says Cameron Musco, an MIT graduate student in electrical engineering and computer science. “What we’re doing is giving a rigorous analysis behind that intuition, and also saying that the estimate is a very good estim...

Exploring networks efficiently

Analysis of ant colony behavior could yield better algorithms for network communication.

July 13, 2016

Researchers at MIT and the École Polytechnique Fédérale de Lausanne have developed a new anonymity scheme that provides strong security guarantees but uses bandwidth much more efficiently than its predecessors.

How to stay anonymous online

Network can protect users’ anonymity if all but one of its servers are compromised.

July 11, 2016

A new database interface looks like a spreadsheet. Users don’t need to know database scripting languages such as SQL to create new database queries.

Democratizing databases

With a new tool, any competent spreadsheet user can construct custom database interfaces.

July 8, 2016

Unlocking the past with the future of imaging

New grants help MIT Libraries, DMSE, and CSAIL push the boundaries of examining artifacts.

July 7, 2016

Fireworks lit up the night sky and MIT's campus on July 4.

Scene at MIT: Independence Day spectacular

July 6, 2016

Duane Boning named LeBel Professor

A leader in the field of manufacturing and design has been appointed the Clarence J. LeBel Professor of Electrical Engineering.

June 30, 2016

A unique reflection of MIT's Building 32, the Ray and Maria Stata Center

Scene at MIT: Reflections on Stata

June 29, 2016

Robert Metcalfe '68 gave a talk during StartMIT.

Q&A: Robert Metcalfe on the "Inoversity"

Ethernet and 3Com co-founder and MIT Visiting Innovation Fellow discusses how universities can drive innovation.

June 28, 2016

CoalMap is an online tool that allows users explore the potential effects of various market factors on the cost-competitiveness of coal versus renewable energy.

Mapping coal’s decline and renewables' rise

CoalMap online tool shows what policy regulations and technological advancements can do for the cost-competitiveness of solar and wind energy.

June 22, 2016

Supercharging undergraduate research

Now open to the entire School of Engineering, SuperUROP is creating an interdisciplinary community of scholars.

June 21, 2016

From MIT CSAIL: The left-most column shows the frame before the action begins, with the algorithm's prediction below it. The right columns show the next frames of the video.

Teaching machines to predict the future

Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.