A winning formula for student project teams at MIT
The teamwork, leadership, and communication skills developed in the Gordon Engineering Leadership (GEL) Program drive success of Edgerton Center project teams.
The teamwork, leadership, and communication skills developed in the Gordon Engineering Leadership (GEL) Program drive success of Edgerton Center project teams.
Through an interdisciplinary collaboration between MIT and the Museum of Fine Arts, Boston, researchers are creating playable physical and synthesized replicas.
While some N2O is produced naturally at the plant root, agricultural practices can increase its levels, to the detriment of some microbes that support plant growth.
Patterns of gaze and attention can reveal how some people unconsciously figure out how to master a task, new research shows.
The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
In 16.85 (Design and Testing of Autonomous Vehicles), AeroAstro students build software that allows autonomous flight vehicles to navigate unknown environments.
Offering substantial prize funding alongside workshops, classes, and mentorship, the initiative helps translate early-stage biotech research into venture-ready innovation.
A collaboration between MIT’s Leaders for Global Operations, Boeing, and Engineering Tomorrow brings aspiring engineers from the classroom to the factory floor.
Foray Bioscience, founded by Ashley Beckwith SM ’18, PhD ’22, is engineering single plant cells to create new materials and meet growing demand.
MIT researchers uncovered the physics behind bubble-removing membranes that could improve bioreactors, chemical production, and more.
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.