Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
International award supports early-career scientists and engineers as they pursue interdisciplinary works.
Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.