The Artificial General Intelligence (AGI) Lab (AGIL) is focused on data science for an era of real-world AGI, marked by machine learning transitioning from a paradigm where models are produced from data to a paradigm where models are produced from other models—an exciting and pressing reality reshaping the practice of data science. How can AGI be characterized with data? How does AGI shape the use of data? The lab grapples with these questions using formal theory, technical methods, and empirical experiments in diverse application domains, including space, cyber, robotics, and other engineered systems.
Research Tags: Generative AI; Reinforcement Learning; Graph Learning; Systems Theory; Learning Theory; Cybernetics; Foundation Models; AI Pipelines; Adversarial AI
