A technique for more effective multipurpose robots
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
A new quantum-system-on-chip enables the efficient control of a large array of qubits, moving toward practical quantum computing.
A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.
“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.
Fifteen new faculty members join six of the school’s academic departments.
Research sheds light on the properties of novel materials that could be used in electronics operating in extremely hot environments.
Graduate student Nolen Scruggs works with a local tenant association to address housing inequality as part of the MIT Initiative on Combatting Systemic Racism.
The 10 Design Fellows are MIT graduate students working at the intersection of design and multiple disciplines across the Institute.
Christopher Wang, a senior in EECS, shares his favorite study spaces, how he discovered theater at the Institute, and what he'll miss most.
The Fulbright US Student Program funds research, study, and teaching opportunities abroad.
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.
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.
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