Software

Several dozen students participated in the Green AI Hackathon, co-sponsored by the MIT Research Computing Project and MIT-IBM Watson AI Lab.

Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer

Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.

February 11, 2020

ObjectNet, a dataset of photos created by MIT and IBM researchers, shows objects from odd angles, in multiple orientations, and against varied backgrounds to better represent the complexity of 3D objects. The researchers hope the dataset will lead to new computer vision techniques that perform better in real life.

This object-recognition dataset stumped the world’s best computer vision models

Objects are posed in varied positions and shot at odd angles to spur new AI techniques.

December 10, 2019

“We believe that AI plays a key role now, and in the future development of the region, if it’s used in the right way,” says Omar Costilla Reyes, one of four MIT graduate students working to help Latin America adopt artificial intelligence technologies. Pictured here (left to right) are Costilla Reyes, Emilia Simison, Pedro Antonio Colon-Hernandez, and Guillermo Bernal.

Students push to speed up artificial intelligence adoption in Latin America

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.

November 19, 2019

A new tool reveals what AI models leave out in recreating a scene. Here, a GAN, or generative adversarial network, has dropped the pair of newlyweds from its reconstruction (right) of the photo it was asked to draw (left).

Visualizing an AI model’s blind spots

New tool highlights what generative models leave out when reconstructing a scene.

November 8, 2019

ArtGut has three chambers: At the top is a gas cap through which nitrogen diffuses via a rubber membrane to the sample chamber below, generating a steep oxygen gradient that mimics conditions in the human gut, and the chamber at bottom emulates the gut's mucus lining.

Ten Lincoln Laboratory technologies earn 2019 R&D 100 Awards

International awards recognize innovations that can have significant impacts on society.

November 4, 2019

For last-mile delivery, robots of the future may use a new MIT algorithm to find the front door, using clues in their environment.

Technique helps robots find the front door

Navigation method may speed up autonomous last-mile delivery.

November 4, 2019

In a study using machine-generated art to understand what makes a picture memorable, researchers found that the images people remembered best had bright colors, simple backgrounds, and subjects centered prominently in the frame.

What makes an image memorable? Ask a computer

An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.

November 1, 2019

A new technique for training video recognition models is up to three times faster than current state-of-the-art methods while improving runtime performance on mobile devices. The work was recently highlighted by Dario Gil (above), director of IBM Research, at the MIT-IBM Watson AI Lab’s AI Research Week in Cambridge, Massachusetts.

Faster video recognition for the smartphone era

MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.

October 11, 2019

Researchers at MIT demonstrated gloves fabricated by a system for automating knitted garments.

Computer-aided knitting

New research from the Computer Science and Artificial Intelligence Laboratory uses machine learning to customize clothing designs.

August 6, 2019

MIT spinout Tulip offers customizable manufacturing apps (like the one on the screen) in addition to sensors, gateways, and analytics to improve human-based manufacturing processes.

Software to empower workers on the factory floor

Apps developed by MIT spinout Tulip help manufacturers augment employee production rather than automating it away.

July 31, 2019

“I hope to save a lot of people a lot of time doing boring, repetitive work by automating programming work as well as decreasing the cost of building secure, reliable systems,” says Associate Professor Adam Chlipala.

Making it easier to program and protect the web

Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.

July 20, 2019

Users feed Gen relatively short code defining a target task, and the system automatically generates the results.

New AI programming language goes beyond deep learning

General-purpose language works for computer vision, robotics, statistics, and more.

June 26, 2019

TRACER (Timely Randomization Applied to Commodity Executables at Runtime) software, seen in its packaging, is straightforward to install on systems running Windows.

Cyber protection technology moves from the lab to the marketplace

Lincoln Laboratory's technique to protect commodity software from cyberattacks has transitioned to industry and will soon be available as part of a security suite.

June 14, 2019

Rob Spectre and Jennifer Dolle (center left and right) of the Human Trafficking Response Unit join Joseph Campbell (left) and Charlie Dagli (right) at MIT Lincoln Laboratory to present how data analytical tools are aiding investigations.

Artificial intelligence shines light on the dark web

New tools can find patterns in vast online data to track and identify users on illicit forums.

May 13, 2019

Three-part illustration: On left is a battery labeled "efficiency"; in center is a robot labeled "defensive quantization"; on right is a lock symbol labeled "security."

Improving security as artificial intelligence moves to smartphones

Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.

April 23, 2019

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