Bridging careers in aerospace manufacturing and fusion energy, with a focus on intentional inclusion
Joy Dunn ’08 helps solve the world’s greatest climate challenges while creating an open and equitable working environment.
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Joy Dunn ’08 helps solve the world’s greatest climate challenges while creating an open and equitable working environment.
Aeronautics and astronautics PhD candidate George Lordos develops technologies to enable life on Mars.
The distinguished professor of aeronautics and astronautics will continue to champion diversity in engineering in the new role.
Martin Luther King Jr. Visiting Professors and Scholars will enhance and enrich the MIT community through engagement with students and faculty.
BART and MARGE will reliably produce, store, and distribute 50 tons of rocket fuel per year on the surface of Mars.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
Earning the top spot for the 11th straight year, the Institute also places first in 12 subject areas.
A state-of-the-art facility replaces a nearly 80-year-old campus landmark to become the most advanced wind tunnel in U.S. academia.
Twenty winning projects will link industry member priorities with research groups across campus to develop scalable climate solutions.
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Members of MIT’s Reserve Officers’ Training Corps program reflect on challenges and benefits of being an ROTC cadet and an MIT student.
The TESSERAE project, a design for self-assembling space structures and habitats, has sent prototypes to the International Space Station.
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.