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alt="MIT CSAIL's AI system melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering applications."
CSAIL article
Using AI to discover stiff and tough microstructures

Every time you smoothly drive from point A to point B, you're not just enjoying the convenience of your car, but also the sophisticated engineering that makes it safe and reliable. Beyond its comfort and protective features lies a lesser-known yet crucial aspect: the expertly optimized mechanical performance of microstructured materials. These materials, integral yet often unacknowledged, are what fortify your vehicle, ensuring durability and strength on every journey. 

alt="New MIT research provides a theoretical proof for a phenomenon observed in practice: that encoding symmetries in the machine learning model helps the model learn with fewer data (Credits: Alex Shipps/MIT CSAIL)."
CSAIL article
How symmetry can come to the aid of machine learning

Behrooz Tahmasebi — an MIT PhD student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL) — was taking a mathematics course on differential equations in late 2021 when a glimmer of inspiration struck.

alt="Three people sit around a table with laptops in front of a whiteboard and window "
MIT news article
Generating the policy of tomorrow

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.