The University of Alabama 3 credits CS
This course teaches the design of deep generative learning methods for modeling physics processes, such as water sciences, material sciences, and neuroscience. The course aims to teach the theoretical methods of artificial intelligence that act appropriately and effectively in novel situations that occur in open worlds. The course will cover the scientific principles to quantify and characterize novelty in open-world domains, teach students how to develop generative AI systems that react to novelty in those domains and demonstrate and evaluate these systems in a selected domain. The course will involve applying concepts and methods in the context of physics processes.
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