Seven from MIT receive National Institutes of Health awards for 2021
Awards support high-risk, high-reward biomedical and behavioral research.
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Awards support high-risk, high-reward biomedical and behavioral research.
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.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.
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.
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
MIT offers over 120 undergraduate classes related to sustainability, a sign of growing student and faculty interest in the environmental impacts of their fields.
PhD student Martin Nisser wants to democratize hardware by making it easier to build and customize.
SensiCut, a smart material-sensing platform for laser cutters, can differentiate between 30 materials commonly found in makerspaces and workshops.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.