A security technique to fool would-be cyber attackers
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
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Can machine-learning models overcome biased datasets?
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.
Fostering media literacy in the age of deepfakes
Online course from the MIT Center for Advanced Virtuality seeks to empower students and educators to critically engage with media.
Seven from MIT named 2022 Sloan Research Fellows
Early-career researchers honored for creativity, innovation, and research accomplishments.
Research advances technology of AI assistance for anesthesiologists
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
A new atlas of cells that carry blood to the brain
Single-cell gene expression analyses of human cerebrovascular cells can help reveal new drug targets for Huntington’s disease.
First-ever Climate Grand Challenges recognizes 27 finalists
A subset of the finalists will be announced as multiyear flagship projects this spring.
L. Rafael Reif to step down as MIT president
For a decade, Reif’s bold vision led the Institute to dynamic growth and increased stature on the world stage.
A new programming language for high-performance computers
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
School of Science announces 2022 Infinite Expansion Awards
Eight postdocs and research scientists within the School of Science honored for contributions to the Institute.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
Demystifying machine-learning systems
A new method automatically describes, in natural language, what the individual components of a neural network do.