Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT researchers have shown that some phone apps engage in “covert communication.” “There might be a very good reason for this covert communication. We are not trying to say that it has to be eliminated. We’re just saying the user needs to be informed,” says Julia Rubin, a postdoc in MIT’s Computer Science and Artificial Intelligence Laboratory.

What are your apps hiding?

Half of the communication connections established by the top 500 Android apps have no effect on user experience.

November 19, 2015

D. Fox Harrell, associate Professor of digital media, has appointments in MIT Comparative Media Studies/Writing, and the MIT Computer Science and Artificial intelligence Laboratory.

Designing virtual identities for empowerment and social change

D. Fox Harrell receives $1.35 million in grant funding to advance research at the intersection of social science and digital technology.

November 18, 2015

NASA's "Valkyrie" robot is 6 feet tall and weighs 290 pounds. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory will test and develop the bot for future space missions.

NASA gives MIT a humanoid robot to develop software for future space missions

Team led by Professor Russ Tedrake of CSAIL to develop algorithms for 6-foot-tall “Valkyrie” robot to travel to Mars and beyond.

November 17, 2015

hand holding a smartphone with city lights on the screen

Streamlining mobile image processing

Technique for mobile image processing in the cloud cuts bandwidth use by more than 98 percent.

November 13, 2015

MIT Libraries explore 17th-century postal archive in "Signed, Sealed, and Undelivered"

2,600 recently rediscovered early modern letters to be analyzed in groundbreaking international digital humanities project.

November 10, 2015

An example of the Non-Local Variations algorithm that automatically detects and visualizes small deformations between repeating structures in a single image. On the left is the original image. In the right image, the variability in the shape of the corn’s kernels is reduced, and the misalignment of rows is corrected.

Amplifying — or removing — visual variation

Algorithms could offer new tools for graphics software or reveal structural defects.

November 5, 2015

MIT CSAIL researchers found that pictograms, when employed appropriately, can dramatically improve information recall.

How to make better visualizations

Eye-tracking research reveals which types of visuals actually get the message across.

November 5, 2015

System automatically converts 2-D video to 3-D

Exploiting video game software yields broadcast-quality 3-D video of soccer games in real time.

November 4, 2015

The new Underworlds research project depends on learning and analyzing what is in our “collective gut.”

Real-time epidemiology from urban wastewater

MIT and Kuwait researchers have been awarded $4 million to fund Underworlds, a study of real-time epidemiology using biomarkers in urban sewage.

November 2, 2015

How wireless “X-ray vision” could power virtual reality, smart homes, and Hollywood

By seeing silhouettes through a wall, CSAIL device could help with motion capture, fall prevention and even your heating bill.

October 28, 2015

blocks held together with chains and a padlock; lines of code in the background

A basis for all cryptography

A tool that would provide a secure foundation for any cryptographic system may be close at hand.

October 28, 2015

"Cutting plane" methods converge on the optimal values of a mathematical function by repeatedly cutting out regions of a much larger set of possibilities (gold sphere).

Faster optimization

New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems.

October 23, 2015

cloud of many circles connected by lines

Automating big-data analysis

System that replaces human intuition with algorithms outperforms 615 of 906 human teams.

October 16, 2015

Predicting change in the Alzheimer’s brain

Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.

October 6, 2015

Flickr users tagged a photograph similar to this one
“architecture," “tourism," and "travel.” A machine-learning system that
used a novel training strategy developed at MIT proposed “sky," “roof,”
and “building”; when it used a conventional training strategy, it came up
with “art," “sky,” and "beach.”

More-flexible machine learning

Giving machine-learning systems “partial credit” during training improves image classification.

October 1, 2015

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