Using generative AI to help robots jump higher and land safely
MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
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MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
The alumni-founded startup Nominal has built a platform for building and testing complex systems like fighter jets, nuclear reactors, rockets, and robots.
Rising seniors Avani Ahuja, Julianna Lian, Jacqueline Prawira, and Alex Tang are honored for their academic achievements.
Eleven faculty members have been granted tenure in six units across MIT’s School of Engineering.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Ranking at the top for the 14th year in a row, the Institute also places first in 11 subject areas.
The low-cost, scalable technology can seamlessly integrate high-speed gallium nitride transistors onto a standard silicon chip.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.
Longtime MIT electrical engineer receives SPIE Frits Zernike Award for Microlithography in recognition of outstanding accomplishments in microlithographic technology.
A faculty member since 1994, Chandrakasan has also served as dean of engineering and MIT’s inaugural chief innovation and strategy officer, among other roles.
Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.