Computer Science and Artificial Intelligence Laboratory (CSAIL)

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

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

Selective memory

Scheme would make new high-capacity data caches 33 to 50 percent more efficient.

October 22, 2017

“What’s really cool about eye tracking is it lets you see things that you’re not consciously aware of,” Professor Josh Tenenbaum says. “When psychologists and philosophers have proposed the idea of counterfactual simulation, they haven’t necessarily meant that you do this consciously. It’s something going on behind the surface, and eye tracking is able to reveal that.”

How we determine who’s to blame

Before assigning responsibility, our minds simulate alternative outcomes, study shows.

October 17, 2017

Pictured, left to right, are: Manisha Bahl, director of the Massachusetts General Hospital Breast Imaging Fellowship Program; MIT Professor Regina Barzilay (center); and Constance Lehman, professor at Harvard Medical School and chief of the Breast Imaging Division at MGH’s Department of Radiology.

Using artificial intelligence to improve early breast cancer detection

Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.

October 16, 2017

Consisting of a headset and hand controllers, CSAIL's new VR system enables users to teleoperate a robot using an Oculus Rift headset.

Teleoperating robots with virtual reality

A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.

October 11, 2017

MIT Professor Regina Barzilay, 2017 MacArthur Fellow, was cited by the MacArthur Foundation for making “significant contributions to a wide range of problems in computational linguistics, including both interpretation and generation of human language.”

Regina Barzilay wins MacArthur “genius grant”

MIT computer scientist who studies natural language processing and machine learning wins $625,000 prize.

October 11, 2017

A new system from MIT's Computer Science and Artificial Intelligence Laboratory works by analyzing light at the edge of walls, which is impacted by the reflections of objects around the corner from the camera.

An algorithm for your blind spot

Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.

October 9, 2017

A new machine-learning system analyzes successful repairs to buggy software and learns how to repair new bugs.

Bug-repair system learns from example

Automatic code-patching system corrects nearly twice as many errors as its predecessors.

September 28, 2017

Dubbed “Primer,” a new cube-shaped robot can be controlled via magnets to make it walk, roll, sail, and glide. It carries out these actions by wearing different exoskeletons, which start out as sheets of plastic that fold into specific shapes when heated. After Primer finishes its task, it can shed its “skin” by immersing itself in water, which dissolves the exoskeleton.

“Superhero” robot wears different outfits for different tasks

Shape-shifting device from CSAIL can walk, roll, sail, and glide using recyclable exoskeletons.

September 27, 2017

New leadership for MIT-IBM Watson AI Lab

Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.

September 20, 2017

Automatic code reuse

System makes modifications necessary to transplant code from one program into another.

September 19, 2017

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