Data

English is the most used language on the Internet, and globally most of the people who speak or write in English are non-native speakers. A new database of annotated English sentences written by non-native speakers could help improve how computers handle the spoken or written language of non-native English speakers.

First major database of non-native English

Resource could yield linguistic insights, practical applications for non-native English speakers.

July 29, 2016

Roughness- and deflection-induced excess carbon dioxide emissions on Virginia’s Interstate Highway network in 2013

Data-driven approach to pavement management lowers greenhouse gas emissions

July 26, 2016

Arsenal Health developed a schedule-optimization service for health care providers that analyzes scheduling and other data to predict which patients might not show up to appointments. Health-care providers can then double-book over those potential no-show patients or prioritize their outreach as needed.

Reducing wait times at the doctor’s office

MIT spinout helps health-care providers schedule patients more efficiently.

July 21, 2016

JuliaCon attendees gather in the amphitheater outside of MIT's Computer Science and Artificial Intelligence Laboratory.

JuliaCon draws global users of a dynamic, easy-to-learn programming language

Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.

July 18, 2016

“We don’t necessarily want [air traffic controllers] to spend the bandwidth on processing 40 pieces of information. Instead, we can tell them the three top choices,” says Hamsa Balakrishnan, associate professor of aeronautics and astronautics at MIT and a member of MIT’s Institute for Data, Systems, and Society.

Ready for takeoff

Hamsa Balakrishnan develops algorithms to reduce airport congestion.

July 15, 2016

Image courtesy of the MIT Laboratory for Computational Physiology.

Supporting clinical research with an intensive-care database

Crowdsourcing clinical data from some 40,000 patients could vastly improve research and critical-care decisions.

July 8, 2016

To use the Nima sensor, a new device that can detect gluten, diners put a pea-sized sample of food or liquid into a disposable capsule, and insert the capsule into the device, which mixes the food into a solution that detects gluten. In two to three minutes, a digital display appears on the sensor, indicating if the food sample does or doesn’t contain gluten.

Is your meal really gluten free?

Portable sensor detects trace amounts of gluten in food at restaurants.

July 6, 2016

Mapping molecular neighborhoods

Associate Professor Ernest Fraenkel uses biological network modeling to identify new targets for disease.

July 5, 2016

“The City of Tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life” (Yale University Press), co-written by Carlo Ratti (pictured), director of the Senseable City Lab and a professor of the practice in MIT’s Department of Urban Studies and Planning.

Cities of tomorrow

New book by Senseable City Lab researchers presents vision of data-driven urban design.

July 5, 2016

A new report, “Convergence: The Future of Health,” draws on insights from scientists and researchers across academia, industry, and government. The cover of the report is an image of lungs, one of the major sites of metastasis. To help protect the lungs (blue) from this deadly process, bioengineers have created microscopic drug depots (red) to focus the effect of anti-cancer drugs that may hav...

A strategy for “convergence” research to transform biomedicine

Report calls for more integration of physical, life sciences for needed advances in biomedical research.

June 23, 2016

CoalMap is an online tool that allows users explore the potential effects of various market factors on the cost-competitiveness of coal versus renewable energy.

Mapping coal’s decline and renewables' rise

CoalMap online tool shows what policy regulations and technological advancements can do for the cost-competitiveness of solar and wind energy.

June 22, 2016

From MIT CSAIL: The left-most column shows the frame before the action begins, with the algorithm's prediction below it. The right columns show the next frames of the video.

Teaching machines to predict the future

Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.

June 21, 2016

This illustration shows the merger of two black holes and the gravitational waves that ripple outward as the black holes spiral toward each other. The black holes — which represent those detected by LIGO on Dec. 26, 2015 — were 14 and 8 times the mass of the sun, until they merged, forming a single black hole 21 times the mass of the sun. In reality, the area near the black holes would appear ...

For second time, LIGO detects gravitational waves

Signal was produced by two black holes colliding 1.4 billion light years away.

June 15, 2016

Artificial intelligence produces realistic sounds that fool humans

Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.

June 13, 2016

A new risk survey conducted by the MIT Forum for Supply Chain Innovation and Infosys Global Risk Advisory Group highlights top risk concerns from 70 companies worldwide.

MIT Forum and Infosys Risk Group release preliminary global risk survey findings

Survey indicates 92.54 percent of companies think the nature of risk is changing due to complexity in the digital economy.

June 6, 2016

MIT News | Massachusetts Institute of Technology

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