Summary
This project promotes the development of new methods that make artificial intelligence systems more reliable, more data efficient, and easier to correct. Modern systems for language, images, and scientific data often require enormous training sets and computing resources, can become unstable during training, and are difficult to update when information must be removed for privacy or safety reasons. These limitations can hinder scientific discovery and make advanced computing less accessible. This project addresses these challenges by learning how the structure of data shapes the behavior of mo
