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.
A bottom-up view of the state
Embedded with street-level bureaucrats, political theorist Bernardo Zacka reveals the complex moral landscape civil servants must navigate.
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.
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.
How should autonomous vehicles be programmed?
Massive global survey reveals ethics preferences and regional differences.
Tang family gift supports MIT.nano, MIT Quest for Intelligence
$20 million gift names imaging suite in new facility, creates catalyst fund.
Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
