School of Engineering welcomes new faculty
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
SMART researchers find explanation for why some patients might experience diarrhea after taking amoxicillin-clavulanate.
PhD student Nidhi Juthani has built a deep foundation in science to inform a career in the private sector.
Experiments aboard International Space Station demonstrate a potential solution for cleaning up orbital debris and repairing damaged satellites.
A new solution to beach-fouling seaweed, developed by MBA candidate Andrés Bisonó León and Luke Gray ’18, SM ’20, is designed to cut greenhouse gas emissions.
The annual event aims to realize the promise of "new normal" education through community and technology.
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
The material could replace rare metals and lead to more economical production of carbon-neutral fuels.
Senior Carene Umubyeyi seeks to advance sustainable structural design in her home country of Rwanda and beyond.
The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
In his new lab, where he will study how plasma behaves in the universe, assistant professor of nuclear science and engineering Jack Hare draws inspiration from spelunking.
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.