Computer Science and Artificial Intelligence Laboratory (CSAIL)

Eight MIT researchers win 2018 Sloan Research Fellowships

Faculty from six MIT departments among 126 selected from across the U.S. and Canada.

February 15, 2018

CSAIL's NanoMap system allows drones to fly in congested environments such as forests.

Programming drones to fly in the face of uncertainty

CSAIL's NanoMap system enables drones to avoid obstacles while flying at 20 miles per hour, by more deeply integrating sensing and control.

February 12, 2018

New software identified five different families of microstructures, each defined by a shared “skeleton” (blue), that optimally traded off three mechanical properties.

Automating materials design

With new approach, researchers specify desired properties of a material, and a computer system generates a structure accordingly.

February 2, 2018

At a time of rapid advances in intelligence research across many disciplines, the MIT Intelligence Quest will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known.

Institute launches the MIT Intelligence Quest

New Institute-wide initiative will advance human and machine intelligence research.

February 1, 2018

MIT professor Stefanie Mueller led the development of the new ColorMod system.

Changing the color of 3-D printed objects

CSAIL system uses custom ink and ultraviolet light to repeatedly change an object's color.

January 29, 2018

D. Fox Harrell is the director of the Imagination, Computation, and Expression Laboratory at MIT’s Computer Science and Artificial Intelligence Laboratory.

3Q: D. Fox Harrell on his video game for the #MeToo era

The computer scientist’s group has designed a game that gets players to reflect on sexual misconduct in the workplace.

January 19, 2018

Three EECS professors join leadership team

Saman Amarasinghe and Joel Voldman are named associate department heads; Nancy Lynch is associate department head for strategic directions, a new post.

January 12, 2018

Class 2.680 (Unmanned Marine Vehicle Autonomy, Sensing and Communications), which is offered during spring semester, is structured around the presence of ice on the Charles. While the river is covered by a thick sheet of ice in February and into March, students are taught to code and program a remotely-piloted marine vehicle for a given mission.

Unlocking marine mysteries with artificial intelligence

Students put their AI software for underwater vehicles to the test on the Charles River.

December 14, 2017

As part of an investigation into the nature of humans' physical intuitions, MIT researchers trained a neural network to predict how unstably stacked blocks would respond to the force of gravity.

Computer systems predict objects’ responses to physical forces

Results may help explain how humans do the same thing.

December 13, 2017

Clockwise from top left: Shafi Goldwasser, Tomás Lozano-Pérez, Michael Sipser, and Silvio Micali.

Four from MIT named 2017 Association for Computing Machinery Fellows

Professors Goldwasser, Lozano-Perez, Micali, and Sipser honored for "providing key knowledge" to computing.

December 11, 2017

Neural nets are so named because they roughly approximate the structure of the human brain. Typically, they’re arranged into layers, and each layer consists of many simple processing units — nodes — each of which is connected to several nodes in the layers above and below. Data is fed into the lowest layer, whose nodes process it and pass it to the next layer. The connections between layers ...

Reading a neural network’s mind

Technique illuminates the inner workings of artificial-intelligence systems that process language.

December 10, 2017

To evaluate infants’ intuition regarding what other people value, researchers showed them videos in which an agent (red bouncing ball) decides whether it’s worth the effort to leap over an obstacle to reach a goal (blue cartoon character).

How badly do you want something? Babies can tell

Ten-month-old infants determine the value of a goal from how hard someone works to achieve it.

November 23, 2017

Ryan Williams, who joined the MIT electrical engineering and computer science faculty with tenure this year, hasn’t solved the problem of P vs. NP — nobody has — but he’s made one of the most important recent contributions toward its solution.

Chasing complexity

Ryan Williams has taken a key step toward solving the biggest problem in theoretical computer science.

November 22, 2017

MIT Professor Daniela Rus (right), director of the Computer Science and Artificial Intelligence Laboratory, speaks with Alphabet chairman Eric Schmidt.

Summit discusses impact of machines on jobs, productivity, and the global economy

Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.

November 7, 2017

A new MIT computer system speeds computations involving “sparse tensors,” multidimensional data arrays that consist mostly of zeroes.

Faster big-data analysis

System for performing “tensor algebra” offers 100-fold speedups over previous software packages.

October 30, 2017

MIT News | Massachusetts Institute of Technology

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