Artificial intelligence

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

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 determine what products a given customer might like, recommendation systems at websites such as Amazon and Netflix look for other customers who have assigned similar ratings to a similar range of products, and extrapolate from there.

Try this! Researchers devise better recommendation algorithm

Improved recommendation algorithm should work especially well when ratings data are “sparse.”

December 6, 2017

Vivienne Sze and Joel Emer teach Hardware Architecture for Deep Learning, a class in MIT’s Department of Electrical Engineering and Computer Science that focuses on building specialized hardware for AI.

Building the hardware for the next generation of artificial intelligence

Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.

November 30, 2017

President Reif: We must build a future in which technology works for everyone

Boston Globe op-ed by MIT president calls for a “whole-society effort” to address profound challenges posed by automation.

November 10, 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 team of researchers at MIT, the University of Massachusetts at Amherst, and the University of California at Berkeley hope to close the materials-science automation gap, with a new artificial-intelligence system that would pore through research papers to deduce “recipes” for producing particular materials.

Artificial intelligence aids materials fabrication

System could pore through millions of research papers to extract “recipes” for producing materials.

November 5, 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

Shelley is an artificial intelligence horror story writer that collaborates with humans to create tales of terror.

Can artificial intelligence learn to scare us?

With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.

October 27, 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

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

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