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.
MIT reshapes itself to shape the future
Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.
Model helps robots navigate more like humans do
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health
MacArthur “geniuses” in machine learning and synthetic biology to serve as faculty co-leads; Nobel laureate to chair advisory board of new research center.