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 ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

The curriculum for the Bachelor of Arts degree in Computer Science is based on current recommendations of the Association for Computing Machinery (ACM) for liberal arts institutions. The program is ...

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 ...

Computer science isn't just about coding. It’s the engine behind today’s most exciting innovations — from artificial intelligence to mobile apps and digital security. At Southern New Hampshire ...

Theory of computation, particularly the connections among logic, automata and computational complexity. His current research projects involve algebraic and model-theoretic approaches to circuit ...