Data

Venkat Arun of MIT stands in front of the prototype of RFocus, a software-controlled “smart surface” that uses more than 3,000 antennas to maximize the strength of the signal at the receiver.

A smart surface for smart devices

External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.

February 3, 2020

Biology major Rachel Shen sees what most of us can’t: the impurities in our water, the matrices of plant cells, and the invisible processes that cycle nutrients in the oceans.

Testing the waters

MIT sophomore Rachel Shen looks for microscopic solutions to big environmental challenges.

January 28, 2020

Deborah Hung’s talk kicked off a four-part Independent Activities Period seminar series, Microbes in Health and Disease.

The new front against antibiotic resistance

Deborah Hung shares research strategies to combat tuberculosis as part of the Department of Biology's IAP seminar series on microbes in health and disease.

January 23, 2020

Sending clearer signals

Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.

January 11, 2020

MIT researchers have built a new benchmark tool that can accurately predict how long it takes given code to execute on a computer chip, which can help programmers tweak the code for better performance.

Tool predicts how fast code will run on a chip

Machine-learning system should enable developers to improve computing efficiency in a range of applications.

January 6, 2020

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

MIT News | Massachusetts Institute of Technology

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