Bridge to the future of engineering
The School of Engineering’s faculty leadership weigh in on what the MIT Stephen A. Schwarzman College of Computing will mean for their students and faculty.
The many interfaces of computing
A roundup of MIT student research projects offers a glimpse of where computing is going next.
Highlighting new research opportunities in civil and environmental engineering
At its annual alumni reception, CEE faculty shared innovative research projects ranging from machine learning to regional impacts of climate change.
Machine-learning system could aid critical decisions in sepsis care
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Why some Wikipedia disputes go unresolved
Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.
To build new college, MIT seeks campus and alumni input
Opportunities and new challenges were at the forefront of discussions about the MIT Stephen A. Schwarzman College of Computing.
Machines that learn language more like kids do
Computer model could improve human-machine interaction, provide insight into how children learn language.
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.
Q&A: Climate change, tough tech startups, and the future of energy intelligence
MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.
MIT Task Force on the Work of the Future announces advisory and research boards
Leaders from industry, academia, labor, government, foundations, and other organizations, as well as leading scholars in related fields, will provide guidance.
Cryptographic protocol enables greater collaboration in drug discovery
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
Tang family gift supports MIT.nano, MIT Quest for Intelligence
$20 million gift names imaging suite in new facility, creates catalyst fund.
Technique quickly identifies extreme event statistics
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
