Follow MIT through PolarisWire reporting. 4 reports with clear summaries and linked sources.
Researchers at MIT, Boston Children's Hospital and Inria developed E(3)-Pose, a deep learning model that tracks fetal head motion during MRI by embedding left-right symmetry in its architecture, aiming to produce cleaner 3D images and reduce repeat scans. A paper was presented at the 2026 European Conference on Computer Vision.
Symmetry-aware AI model tracks fetal motion during MRI scans ↗MIT, Boston Children's Hospital and Inria researchers built E(3)-Pose, a deep learning model that adjusts fetal MRI scans in motion using head symmetry baked into its architecture.
At MIT's Aging Brain Initiative symposium, researchers described an AI model for personalized Alzheimer's care, anesthesia dosing research, and glycan studies.
MIT’s Sasha Rakhlin outlines how fast AI is advancing in mathematics, why verification speed matters, and what universities should change in training and credit.
MIT announced MIT for America, an institute-wide initiative spanning kindergarten through community college, focused on math, hands-on making, and AI education.
