Center for Applied Artificial Intelligence
Our lab focuses on several key pillars of Artificial Intelligence.
Merging vision, text, and audio to create systems that understand the world as humans do. Examples include Visual Question Answering (VQA) and Image Captioning.
Investigating fairness, accountability, and transparency in machine learning models to prevent societal harm and ensure equitable outcomes.
Exploring the creative potential of AI through Large Language Models (LLMs) and diffusion models for generating text, images, and code.
Applying advanced AI techniques to solve pressing global challenges in healthcare, education, and environmental sustainability.