Using reflections to see the world from new points of view
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Training machines to learn more like humans do
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
Researchers create a tool for accurately simulating complex systems
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Researchers develop novel AI-based estimator for manufacturing medicine
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.
Deep-learning system explores materials’ interiors from the outside
A new method could provide detailed information about internal structures, voids, and cracks, based solely on data about exterior conditions.
Martin Wainwright named director of the Institute for Data, Systems, and Society
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
AI system can generate novel proteins that meet structural design targets
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.
Moving perovskite advancements from the lab to the manufacturing floor
U.S. Department of Energy selects MIT to establish collaborative research center for optimizing the development of tandem solar modules.
Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
MIT CSAIL researchers discuss frontiers of generative AI
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.
Understanding our place in the universe
Martin Luther King Jr. Scholar Brian Nord trains machines to explore the cosmos and fights for equity in research.
Scientists use computational modeling to design “ultrastable” materials
These highly stable metal-organic frameworks could be useful for applications such as capturing greenhouse gases.
Jacob Andreas and Mingda Li honored with Junior Bose Award for Excellence in Teaching
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
A four-legged robotic system for playing soccer on various terrains
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Speeding up drug discovery with diffusion generative models
MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.