Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Seven from MIT receive National Institutes of Health awards for 2021
Awards support high-risk, high-reward biomedical and behavioral research.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
A robot that finds lost items
This robotic arm fuses data from a camera and antenna to locate and retrieve items, even if they are buried under a pile.
Artificial intelligence is smart, but does it play well with others?
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
Budding coders create apps aimed at real-world impact
MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.
MIT brings Campaign for a Better World to a successful finish
The effort raised more than $6 billion to spark innovation on global challenges.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Toward a smarter electronic health record
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
Making health and motion sensing devices more personal
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
Study: Global cancer risk from burning organic matter comes from unregulated chemicals
The researchers hope scientists and regulators will consider a broader class of compounds in evaluating cancer risk due to PAH exposure.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Research collaboration puts climate-resilient crops in sight
MIT professors Dave Des Marais and Caroline Uhler combine plant biology and machine learning to identify genetic roots of plant responses to environmental stress.
MIT appoints members of new faculty committee to drive climate action plan
Professors Noelle Selin and Anne White will co-chair the Climate Nucleus, charged with managing and implementing MIT’s new plan.