Data

In a new study, researchers at MIT and IBM combine three popular text-analysis tools — topic modeling, word embeddings, and optimal transport — to compare thousands of documents per second. Here, they show that their method (left) clusters newsgroup posts by category more tightly than a competing method.

Finding a good read among billions of choices

As natural language processing techniques improve, suggestions are getting speedier and more relevant.

December 20, 2019

An automated machine-learning model developed by MIT researchers significantly outperforms human Wall Street analysts in predicting quarterly business sales.

Model beats Wall Street analysts in forecasting business financials

Using limited data, this automated system predicts a company’s quarterly sales.

December 19, 2019

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

Cells transfected with fluorescent genes have different colors depending on their splicing patterns.

A new way to regulate gene expression

Biologists uncover an evolutionary trick to control gene expression that reverses the flow of genetic information from RNA splicing back to transcription.

December 9, 2019

TPP student Nina Peluso shares discussion takeaways at the inaugural event for the Technology and Policy Program’s new Research to Policy Engagement Initiative.

Technology and Policy Program launches Research to Policy Engagement Initiative

Initiative will support efforts to inform policy with scientific research.

December 5, 2019

The 2019 Lam Research Tech Symposium brought together Lam’s global technical staff, academic collaborators, and industry leaders with MIT faculty, students, and researchers for a two-day event on smart systems for semiconductor manufacturing.

Smart systems for semiconductor manufacturing

Lam Research Tech Symposium, co-hosted by MIT.nano and Microsystems Technology Lab, explores challenges, opportunities for the future of the industry.

November 25, 2019

Using a supercomputing system, MIT researchers developed a model that captures what global web traffic could look like on a given day, including previously unseen isolated links (left) that rarely connect but seem to impact core web traffic (right).

Supercomputer analyzes web traffic across entire internet

Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.

October 27, 2019

A key to compiling the novel Omnipush dataset was building modular objects (pictured) that enabled the robotic system to capture a vast diversity of pushing behavior. The central pieces contain markers on their centers and points so a motion-detection system can detect their position within a millimeter.

Pushy robots learn the fundamentals of object manipulation

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

October 21, 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

Catalia Health uses a personal robot assistant, Mabu, to help patients managing chronic diseases.

Robots help patients manage chronic illness at home

Move over, Alexa and Siri. Talking Mabu robot provides one-to-one support while relaying information to doctors.

October 10, 2019

Left to right: senior research scientist David Clark, graduate student Cecilia Testart, and postdoc Philipp Richter

Using machine learning to hunt down cybercriminals

Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

October 8, 2019

TX-GAIA is housed inside of a new EcoPOD, manufactured by Hewlett Packard Enterprise, at the site of the Lincoln Laboratory Supercomputing Center in Holyoke, Massachusetts.

Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university

TX-GAIA is tailor-made for crunching through deep neural network operations.

September 27, 2019

New MIT study identifies “model” Indian cities that effectively preserve citizen privacy, while leveraging their data to improve government efficiency.

How cities can leverage citizen data while protecting privacy

Study offers models for preserving the privacy of citizens while using their data to improve government services.

September 25, 2019

"Scientists are often motivated by factors other than wages,” says Carolyn Stein, "but many insights from labor economics still help us understand how the field of science functions. Incentive and career concerns still matter. And risk is a big concern.”

Meet Carolyn Stein: Researching the economics of science

MIT PhD student explores the impact of scientists being "scooped" when a competing research team publishes results first, a concern for many disciplines.

September 23, 2019

3 Questions: Why sensing, why now, what next?

Brian Anthony, co-leader of SENSE.nano, discusses sensing for augmented and virtual reality and for advanced manufacturing.

September 20, 2019

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic