Computer Science and Artificial Intelligence Laboratory (CSAIL)

A novel model developed at MIT recovers valuable data lost from images and video that have been “collapsed” into lower dimensions. It can, for instance, recreate video from motion-blurred images or from cameras that capture people’s movement around corners as vague one-dimensional lines.

Recovering “lost dimensions” of images and video

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.

October 16, 2019

Left to right: senior research scientist David Clark, graduate student Cecilia Testart, and postdoc Philipp Richter

Using machine learning to hunt down cybercriminals

Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

October 8, 2019

The 2019-2020 MLK Visiting Scholars and Professors: (l-r) Tina Opie, Matthew Schumaker, Rhonda Williams, Ben McDonald, Kasso Okoudjou, and Jamie Macbeth.

Meet the 2019-20 MLK Visiting Professors and Scholars

Six scholars and professors are spending this academic year in engagement with the MIT community.

October 8, 2019

An algorithm developed at MIT takes MRI images of placentas (top) and flattens them to be more easily analyzed (middle and bottom).

Using algorithms to build a map of the placenta

New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.

October 2, 2019

Trevor Henderson in the record library at WMBR, MIT’s student radio station.

Using math to blend musical notes seamlessly

Algorithm enables one audio signal to glide into another, recreating the “portamento” effect of some musical instruments.

September 27, 2019

Josh Tenenbaum receives 2019 MacArthur Fellowship

Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.

September 25, 2019

New MIT study identifies “model” Indian cities that effectively preserve citizen privacy, while leveraging their data to improve government efficiency.

How cities can leverage citizen data while protecting privacy

Study offers models for preserving the privacy of citizens while using their data to improve government services.

September 25, 2019

MIT researchers are training a pair of generative adversarial networks, or GANs, to mimic the land, sea, and cloud textures seen in satellite images with the goal of eventually visualizing real-world sea-level rise. It’s one of many artificial intelligence research projects made possible by IBM and Google-donated cloud credits.

What a little more computing power can do

Commercial cloud service providers give artificial intelligence computing at MIT a boost.

September 16, 2019

Using just the first 15 minutes of a patient's electrocardiogram (ECG) signal, an MIT system produces a score that places patients into different risk categories.

Using machine learning to estimate risk of cardiovascular death

CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.

September 12, 2019

PhotoChromeleon, a reversible process for changing the color of objects developed at MIT, involves a mix of photochromic dyes that can be sprayed or painted onto the surface of any object.

Objects can now change colors like a chameleon

Computer Science and Artificial Intelligence Laboratory team creates new reprogrammable ink that lets objects change colors using light.

September 10, 2019

MIT’s fleet of robotic boats has been updated with new capabilities to “shapeshift,” by autonomously disconnecting and reassembling into different configurations to form various floating platforms in the canals of Amsterdam. In experiments in a pool, the boats rearranged themselves from a connected straight line into an “L” (shown here) and other shapes.

MIT’s fleet of autonomous boats can now shapeshift

New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.

August 29, 2019

A close up of a modern microprocessor built from carbon nanotube field-effect transistors.

MIT engineers build advanced microprocessor out of carbon nanotubes

New approach harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.

August 28, 2019

An $11.6 million artificial intelligence computing cluster donated by IBM to MIT will come online this fall at the Massachusetts Green High Performance Computing Center (MGHPCC) in Holyoke, Massachusetts.

IBM gives artificial intelligence computing at MIT a lift

Nearly $12 million machine will let MIT researchers run more ambitious AI models.

August 26, 2019

A novel system by MIT researchers automatically “learns” how to allocate data-processing operations across thousands of servers.

Artificial intelligence could help data centers run far more efficiently

MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.

August 21, 2019

MIT researchers have developed a “risk-aware” model that could improve the performance of cloud-computing networks across the U.S.

Using Wall Street secrets to reduce the cost of cloud infrastructure

“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.

August 18, 2019

MIT News | Massachusetts Institute of Technology

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