Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Four from MIT named Meta Fellows for 2022
The honorees include four MIT graduate students in electrical engineering and computer science, economics, and media arts and sciences.
School of Engineering welcomes new faculty
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Deep-learning technique predicts clinical treatment outcomes
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
Robotic cubes shapeshift in outer space
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
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.
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.
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.
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.
Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
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.