Data

First-year students Ifeoluwapo Ademolu-Odeneye (left) and Keith Murray at work in the MIT Digital Humanities Lab.

MIT Program in Digital Humanities launches with $1.3 million Mellon Foundation grant

Among the program's offerings, the Digital Humanities Lab applies computational tools to humanistic research — and builds a community fluent in both languages.

April 17, 2019

A new “particle simulator” developed by MIT researchers improves robots’ abilities to mold materials into simulated target shapes and interact with solid objects and liquids. This could give robots a refined touch for industrial applications or for personal robotics— such as shaping clay or rolling sticky sushi rice.

Giving robots a better feel for object manipulation

Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.

April 16, 2019

Machine learning moves popular data elements into a bucket of their own

Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.

April 3, 2019

MIT researchers’ modified flash storage drives hold promise to cut in half the energy and physical space required to store and manage user data in power-hungry data centers.

Advance boosts efficiency of flash storage in data centers

New architecture promises to cut in half the energy and physical space required to store and manage user data.

April 2, 2019

$Researchers trained a hybrid AI model to answer questions like “Does the red object left of the green cube have the same shape as the purple matte thing?” by feeding it examples of object colors and shapes followed by more complex scenarios involving multi-object comparisons. The model could transfer this knowledge to new scenarios as well as or better than state-of-the-art models using a frac...$

Teaching machines to reason about what they see

Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.

April 2, 2019

A new model developed by MIT researchers creates richer, more easily computable representations of how individual amino acids determine a protein’s function, which could be used for designing and testing new proteins.

Model learns how individual amino acids determine protein function

Technique could improve machine-learning tasks in protein design, drug testing, and other applications.

March 22, 2019

MIT associate professor of electrical engineering and computer science Stefanie Jegelka, an IDSS affiliate, gives a talk at the 2019 Women in Data Science (WiDS) Cambridge conference entitled, "What Can Neural Networks Represent?"

Women in Data Science conference unites global community of researchers and practitioners

MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting data scientists across academia and industry.

March 20, 2019

Sarah Williams is the Homer A Burnell Career Development Chair and professor of technology and planning at MIT. She is also director of the Civic Data Design Lab.

3Q: Sarah Williams on mapping urban transport

Digitally mapping informal transportation networks in developing cities can help them reach the United Nations' Sustainable Development Goals.

March 19, 2019

Hospitals in highlighted regions have contributed data to the Global Open Source Severity of Illness Score, or GOSSIS.

A new way to calculate global intensive care unit mortality risk

The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.

March 8, 2019

Author Malcolm Gladwell, right, speaks with science writer David Epstein, left, in a conversation on ‘Making the Modern Athlete” at the MIT Sloan Sports Analytics Conference, Saturday March 2, 2019.

Big issues on the table at the MIT Sloan Sports Analytics Conference

MIT’s sports-analytics showcase features open talk on some large topics in pro and amateur athletics, from player satisfaction to data equity.

March 6, 2019

Former major league baseball pitcher and current MIT Sloan student Chris Capuano, left, speaking during a panel called “Unlocking Potential: The Next Generation of Tracking Data,” during the MIT Sloan Sports Analytics Conference, Saturday, March 2, 2019.

Q&A: Meet the former all-star pitcher turned MIT student

Chris Capuano, an analytics-friendly Major-Leaguer, pursues his MBA in the Sloan Fellows Program.

March 5, 2019

Vijay Gadepally stands in Lincoln Laboratory's in-house supercomputing center. Gadepally is part of a team that leveraged supercomputing to address cybersecurity issues.

Supercomputers can spot cyber threats

Lincoln Laboratory researchers have developed a technique to compress hours of internet traffic into a bundle that can be analyzed for suspicious behavior.

February 26, 2019

Whirlwind I, the first digital computer capable of real-time computation

Twenty-five ways in which MIT has transformed computing

From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution.

February 25, 2019

A new system by MIT researchers improves the efficiency of high-speed operations in data centers by better assigning time-sensitive data processing across CPU cores and ensuring hardware runs productively.

Achieving greater efficiency for fast data center operations

System better allocates time-sensitive data processing across cores to maintain quick user-response times.

February 21, 2019

Students participating in the Undergraduate Research Opportunities Program include: (clockwise from top left) Veronica Boyce, Nicholas Bonaker, Alexandra Dima, Neeraj Prasad, Elizabeth Weeks, and Alexander Denmark.

Exploring the nature of intelligence

Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.