Artificial intelligence

MIT engineers have now developed an algorithm that lets autonomous underwater vehicles weigh the risks and potential rewards of exploring an unknown region.

Engineers program marine robots to take calculated risks

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

January 30, 2019

Using a new cooperative learning technique, MIT-IBM Watson AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

Learning to teach to speed up learning

An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.

January 29, 2019

A model by MIT and Microsoft researchers identifies instances where autonomous systems have “learned” from training examples that don’t match what’s actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

January 24, 2019

3Q: Judah Cohen on improving seasonal weather forecasting

Machine learning could help improve the accuracy of long-term forecasts, MIT climatologist argues.

January 22, 2019

Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

January 18, 2019

Leo Celi, a researcher at MIT and a physician at Beth Israel Deaconess Medical Center, leads a global series of health care hackathons, or datathons, to bring doctors and data scientists together and encourage hospitals to make use of their electronic medical records.

Democratizing artificial intelligence in health care

Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.

January 18, 2019

A new doctoral field offering a computational specialty within MIT's Department of Earth, Atmospheric and Planetary Sciences resonates with the Institute’s growing awareness of the advantages provided by education based in computer science and engineering.

MIT adds computational Earth, atmospheric, and planetary sciences to its PhD offerings

New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.

January 9, 2019

First row, left to right: Suvrit Sra, Frances Ross, Pulkit Agrawal, Kevin O’Brien, Richard Linares, and Cathy Wu. Second row, left to right: Negar Reiskarimian, Jacob Andreas, Giovanni Traverso, Manya Ghobadi, and Ashwin Gopinath.

School of Engineering welcomes new faculty

Eleven new professors join the MIT community.

January 9, 2019

MIT student Ben Bloomberg stands behind the soundboard at a Jacob Collier concert, December 2018.

Sound and technology unlock innovation at MIT

Cross-disciplinary projects at MIT probe the technological and aesthetic limits of sound.

December 26, 2018

Building site identified for MIT Stephen A. Schwarzman College of Computing

Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.

December 19, 2018

Aleksander Madry is a leader in the emerging field of building guarantees into artificial intelligence, which has nearly become a branch of machine learning in its own right.

3Q: Aleksander Madry on building trustworthy artificial intelligence

A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.

December 14, 2018

From an original transparent etching (far right), engineers produced a photograph in the dark (top left), then attempted to reconstruct the object using first a physics-based algorithm (top right), then a trained neural network (bottom left), before combining both the neural network with the physics-based algorithm to produce the clearest, most accurate reproduction (bottom right) of the original ...

Deep-learning technique reveals “invisible” objects in the dark

Method could illuminate features of biological tissues in low-exposure images.

December 12, 2018

Video from "The Laughing Room," an interactive installation at Cambridge Public Library, was shown live on monitors at Hayden Library and streamed online.

Inside "The Laughing Room"

An artificial intelligence-powered laugh track amuses and unsettles in interactive installations by Jonny Sun.

December 5, 2018

The RePaint system reproduces paintings by combining two approaches called color-contoning and halftoning, as well as a deep learning model focused on determining how to stack 10 different inks to recreate the specific shades of color.

Reproducing paintings that make an impression

CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.

November 29, 2018

Professor and MIT Virtuality Director Fox Harrell is seeking to determine how MIT could use extended reality technologies, both on campus and beyond, to better serve human needs through artful innovation of virtual experiences.

MIT Open Learning launches Center for Advanced Virtuality

The new center will explore how MIT can use virtual reality and artificial intelligence and other technologies to better serve human needs.

November 27, 2018

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic