Computer Science and Artificial Intelligence Laboratory (CSAIL)

PhD student Adriana Schulz was co-lead on AutoSaw, which lets nonexperts customize different items that can then be constructed with the help of robots.

Custom carpentry with help from robots

CSAIL’s robotic system minimizes dangerous sawing, helps users customize furniture.

February 28, 2018

Generally, a browser won’t know where the data it downloaded has ended up. Even if it did, it wouldn’t necessarily have authorization from the operating system to delete it.

Private browsing gets more private

New system patches security holes left open by web browsers’ private-browsing functions.

February 22, 2018

Escher Reality, co-founded by Ross Finman in the MIT Sandbox, was recently acquired by augmented-reality (AR) giant Niantic — and plans to give back to the program that helped it launch. The startup is developing a platform that allows cross-platform, fully multiplayer AR games that save digital objects in the real world.

MIT Sandbox’s first acquired startup gives back

Augmented-reality startup Escher Reality, which recently sold to Niantic, gives back to the program that helped it launch.

February 21, 2018

MIT researchers have developed a special-purpose chip that increases the speed of neural-network computations by three to seven times over its predecessors, while reducing power consumption 93 to 96 percent. That could make it practical to run neural networks locally on smartphones or even to embed them in household appliances.

Neural networks everywhere

New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.

February 13, 2018

MIT researchers have built a new chip, hardwired to perform public-key encryption, that consumes only 1/400 as much power as software execution of the same protocols would. It also uses about 1/10 as much memory and executes 500 times faster.

Energy-efficient encryption for the internet of things

Special-purpose chip reduces power consumption of public-key encryption by 99.75 percent, increases speed 500-fold.

February 12, 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

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

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

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

MIT News | Massachusetts Institute of Technology

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