Janabel Xia: Algorithms, dance rhythms, and the drive to succeed
When the senior isn’t using mathematical and computational methods to boost driverless vehicles and fairer voting, she performs with MIT’s many dance groups to keep her on track.
When the senior isn’t using mathematical and computational methods to boost driverless vehicles and fairer voting, she performs with MIT’s many dance groups to keep her on track.
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
The Trustnet browser extension lets individuals assess the accuracy of any content on any website.
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.
Undergraduates Ben Lou, Srinath Mahankali, and Kenta Suzuki, whose research explores math and physics, are honored for their academic excellence.
MICRO internship program expands, brings undergraduate interns from other schools to campus.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
Learners across 24 countries build technical and employment skills in a collaborative community.
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
The advance offers a way to characterize a fundamental resource needed for quantum computing.
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.