Data

Researchers from CSAIL have devised a new system for data center caching that uses flash memory. In addition to costing less and consuming less power, a flash caching system could dramatically reduce the number of cache servers required by a data center.

Making data centers more energy efficient

Flash-memory system could reduce power consumption of data center “caches” by 90 percent.

August 30, 2017

ComText allows robots to understand contextual commands such as, “Pick up the box I put down.”

Robot learns to follow orders like Alexa

ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.

August 30, 2017

Using machine learning to improve patient care

New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.

August 21, 2017

In experiments, Pensieve could stream video with 10 to 30 percent less rebuffering than other approaches, and at levels that users rated 10 to 25 percent higher on key “quality of experience” metrics.

High-quality online video with less rebuffering

CSAIL’s machine-learning system enables smoother streaming that can better adapt to different network conditions.

August 14, 2017

Pic2Recipe, an artificial intelligence system developed at MIT, can take a photo of an entree and suggest a similar recipe to it.

Artificial intelligence suggests recipes based on food photos

Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.

July 20, 2017

mPath's MOXO sensor is a wearable that resembles a bulky smartwatch. Placed on the wrist, it wirelessly measures changes in skin conductance (subtle electrical changes across the skin), which reflect sympathetic nervous system activity and physiological arousal. Spikes in conductance can signal stress and frustration, while dips may indicate disinterest or boredom.

Wearable device reveals consumer emotions

Startup’s stress sensor tracks users’ unconscious responses to products and experiences.

July 12, 2017

By comparing 1.6 million pairs of photos taken seven years apart, researchers have now used a new computer vision system to quantify the physical improvement or deterioration of neighborhoods in five American cities, in an attempt to identify factors that predict urban change. Pictured are two street views, with the old photograph on the left and the new photograph on the right.

Why do some neighborhoods improve?

Density of highly educated residents, rather than income or housing costs, predicts revitalization.

July 6, 2017

Graduate student Lucas Mason-Brown is chief technology officer for and co-founder of Data for Black Lives (D4BL), an organization helping scientists use data to fight racial bias in real estate, finance, criminal justice, and other areas.

Lucas Mason-Brown named 2017 Echoing Green Fellow

MIT graduate student in mathematics honored for using equations to boost racial equality.

July 6, 2017

mSurvey uses text message-based surveys to gather purchasing behavior of people living in previously hard-to-reach communities in Kenya, the Philippines, Jamaica, Trinidad and Tobago, and other locations in Africa and the Caribbean. In return for their feedback, participants receive mobile money.

Illuminating the developing world’s “invisible” consumers

Texting-based surveys capture purchasing and behavior data from people living in remote areas.

June 21, 2017

MIT President Reif attends White House technology meeting

Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.

June 19, 2017

Researchers at MIT and Massachusetts General Hospital have designed a new system that can efficiently search through hundreds of hours of video of laparoscopic surgeries to identify relevant events and visual features.

Shrinking data for surgical training

Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.

June 16, 2017

“MIT World” is an online map showing the countries of origin of MIT students and scholars from 1999 to present. Blue lines represent undergraduates, red lines represent grad students, and gray lines represent visiting faculty and others.

Academics without borders

Senseable City Lab visualizes 20 years of data to show how students, faculty, and scholars join MIT from all over the world.

June 14, 2017

A new study by an MIT-based team of economists has developed a novel way of evaluating Value-Added Models (VAMs), which assess teachers and schools.

Testing the metrics

MIT researchers refine yardstick for measuring schools and teachers.

June 14, 2017

Inspectors assess the damage to a home on the Florida coast following Hurricane Matthew, which struck in October 2016.

Building to better weather the storm

New dashboard developed by the MIT Concrete Sustainability Hub helps builders calculate the breakeven cost of hazard mitigation in hurricane-prone areas.

June 13, 2017

The MIT Laboratory for Information & Decision Systems hosted the Smart Urban Infrastructures Workshop on May 11-12, 2017 at the MIT Media Lab.

LIDS Smart Urban Infrastructures Workshop highlights emerging research

Speakers from academia, industry, and government discuss the evolution of smart urban systems.

May 31, 2017

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