Data

Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

January 18, 2019

Leo Celi, a researcher at MIT and a physician at Beth Israel Deaconess Medical Center, leads a global series of health care hackathons, or datathons, to bring doctors and data scientists together and encourage hospitals to make use of their electronic medical records.

Democratizing artificial intelligence in health care

Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.

January 18, 2019

MIT researchers are hoping to advance the democratization of data science with a new tool for nonprogrammers that automatically generates models for analyzing raw data.

Democratizing data science

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

January 15, 2019

A new doctoral field offering a computational specialty within MIT's Department of Earth, Atmospheric and Planetary Sciences resonates with the Institute’s growing awareness of the advantages provided by education based in computer science and engineering.

MIT adds computational Earth, atmospheric, and planetary sciences to its PhD offerings

New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.

January 9, 2019

First row, left to right: Suvrit Sra, Frances Ross, Pulkit Agrawal, Kevin O’Brien, Richard Linares, and Cathy Wu. Second row, left to right: Negar Reiskarimian, Jacob Andreas, Giovanni Traverso, Manya Ghobadi, and Ashwin Gopinath.

School of Engineering welcomes new faculty

Eleven new professors join the MIT community.

January 9, 2019

Paul Michelman (left) and Ben Shields in the studio

MIT Sloan launches sports analytics podcast

“Counterpoints,” produced by MIT Sloan Management Review, aims to reveal fascinating insights about sports analytics.

December 12, 2018

MIT researchers find that the growing practice of compiling massive datasets about people’s movement patterns for urban planning and development research may, in fact, put people’s private data at risk — even if that data is anonymized.

The privacy risks of compiling mobility data

Merging different types of location-stamped data can make it easier to discern users’ identities, even when the data is anonymized.

December 7, 2018

The keynote address at the second annual AI and the Future of Work summit was delivered by Rosalin Acosta, Massachusetts Secretary of Labor and Workforce Development.

Artificial intelligence summit addresses impact of technology on jobs and global economy

Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.

November 15, 2018

The new GIS and Data Lab has expanded computing capabilities, more workstations, and expanded software offerings.

GIS and Data Lab now open in Rotch Library

MIT Libraries offer expanded resources in geographic information systems, data visualization, data management, and more for the Institute community.

November 13, 2018

MIT students participating in the Advanced Undergraduate Research Opportunities Program include: (clockwise from top left) Haripriya Mehta, Rohil Verma, Christabel Jemutai Sitienei, Andy Wei, Gabriel Margolis, and Mattie Wasiak.

The many interfaces of computing

A roundup of MIT student research projects offers a glimpse of where computing is going next.

November 11, 2018

By analyzing the win/loss records of thousands of fantasy players over multiple seasons, MIT researchers have found that the game of fantasy football is inherently a contest that rewards skill.

Study: There’s real skill in fantasy sports

Researchers find most fantasy sports are based on skill, not luck.

November 7, 2018

A new machine-learning model that predicts whether ER patients suffering from sepsis may need to be switched to certain medications could help guide clinicians in sepsis care.

Machine-learning system could aid critical decisions in sepsis care

Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.

November 7, 2018

Often, multiple Wikipedia editors will disagree on certain changes to articles or policies.

Why some Wikipedia disputes go unresolved

Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.

November 6, 2018

MIT researchers have developed a “semantic parser” that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities.

Machines that learn language more like kids do

Computer model could improve human-machine interaction, provide insight into how children learn language.

October 31, 2018

The new model measures distances between words with similar meanings in “word embeddings,” and then aligns the words in both embeddings that are most closely correlated by relative distances, meaning they’re most likely to be direct translations of one another.

Model paves way for faster, more efficient translations of more languages

New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.

October 30, 2018

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