Learning to teach to speed up learning
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Julia Lab joins team to speed up drug approval process
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Democratizing data science
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
Customizing computer-aided design
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.
IEEE honors disaster response system developers
Innovation in Societal Infrastructure Award recognizes Lincoln Laboratory researchers who created a system that gives first responders the big picture.
Taking machine thinking out of the black box
Adaptable Interpretable Machine Learning project is redesigning machine learning models so humans can understand what computers are thinking.
MIT-created programming language Julia 1.0 debuts
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.
Design tool reveals a product’s many possible performance tradeoffs
Users can quickly visualize designs that optimize multiple parameters at once.
Tom Fredian: Streamlining fusion data
MIT systems analyst receives award for his essential fusion data storage and retrieval system.
Southeastern European nations are latest to adopt emergency-response system
Lincoln Laboratory, in partnership with NATO, is modifying the system to help the region coordinate disaster response across borders.
Measuring the economy with location data
Startup’s platform crunches anonymized smartphone GPS data to understand how people shop, work, and live.
The autonomous “selfie drone”
Alumni’s video-capturing drone tracks moving subjects while freely navigating any environment.
!["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.
Startup makes labs smarter
Platform connects individual pieces of lab equipment, compiles data in the cloud for speedier, more accurate research.
Bots that talk more like people
AI platform allows chatbots to draw on robust language database to better navigate human conversation.