The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
Theory of computation, particularly the connections among logic, automata and computational complexity. His current research projects involve algebraic and model-theoretic approaches to circuit ...
The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...