Measuring the economy with location data
Startup’s platform crunches anonymized smartphone GPS data to understand how people shop, work, and live.
A low-tech solution for high-impact health care
An interdisciplinary team of MIT students develops a solution to improve medical care for refugees as part of the Vatican’s first-ever hackathon.
Second annual Women in Data Science conference showcases research, explores challenges
Co-hosted by MIT's Institute for Data, Systems, and Society, WiDS Cambridge brings together students, academic leaders, and industry partners.
Conference advances use of data and evaluation in policymaking
Government leaders, social service providers, and leading scholars gathered for the second conference of J-PAL North America’s State and Local Innovation Initiative.
!["As the momentum builds, developers will be able to set up a ML [machine learning] apparatus just as they set up a database," says Max Kanter, CEO at Feature Labs. "It will be that simple."](/sites/default/files/styles/term_page__news_article/public/images/201803/Machine-Learning-Final-01.png?itok=cFwF0sOA)
ML 2.0: Machine learning for many
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
JDA Software collaborates with MIT to advance research in intelligent supply chains
Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.
Talking points: MIT Sloan Sports Analytics Conference explores data and how to share it
MIT's unique forum underscores the importance of communication in sports analytics.
Political Methodology Lab to dig deep into new kinds of data
Founder Teppei Yamamoto designs new tools to comprehend political behavior transformed by digital technology.
When numbers started counting
New book by MIT assistant professor chronicles the birth of statistical arguments in public debate.
3Q: Daron Acemoglu on technology and the future of work
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
Startup makes labs smarter
Platform connects individual pieces of lab equipment, compiles data in the cloud for speedier, more accurate research.
From undisciplined to interdisciplinary
Math professor Philippe Rigollet, once a “not very disciplined” student, moves between computer science and statistics.
Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.