MIT Morningside Academy for Design Fellow combines her expertise in urban planning and business administration to tackle complex social issues within government systems.
Sharmi Shah ’23 pursued Course 2-A/6, a customizable degree path that combines mechanical engineering with computer science and electrical engineering.
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.