Using technology invented at MIT, Cartesian’s system for locating objects could also find uses in manufacturing, logistics, and robotics.
A seasoned undergraduate researcher, Nathaniel Morgan has participated in UROP since his first year, and is now working with Omar Khattab on improving the capabilities of large language models.
Faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.
Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
Title: Probabilistic Machine Learning Methods for Spatiotemporal Data with Applications to Environmental Health Speaker: Renato Berlinghieri Date: Wednesday, April 29, 2026 Time: 12:00 pm Boston time Location: E14-633…
Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.