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.
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Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.
Ahead of the Institute’s presidential inauguration, panelists describe advances in their research and how these discoveries are being deployed to benefit the public.
The technology of MIT alumni-founded Hosta a.i. creates detailed property assessments from photos.
The award recognizes exceptional distinction in teaching, research, and service at MIT.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
The MIT EECS adjunct associate professor and CSAIL member has been recognized for her outstanding contributions to cryptography.
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
The three-fingered robotic gripper can “feel” with great sensitivity along the full length of each finger – not just at the tips.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
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.
Eleven new faculty members join six of the school's academic departments and institutes.