Putting artificial intelligence at the heart of health care — with help from MIT
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Accelerating the discovery of new materials for 3D printing
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Making data visualizations more accessible
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
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.
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.
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.
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.
Engineers create 3D-printed objects that sense how a user is interacting with them
Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.
Q&A: Dina Katabi on a “smart” home with actual intelligence
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.