Computer Science focuses on building software and coding new applications from scratch. Information Technology prioritises ...

My general research interests are in the logic, semantics, and implementation of programming languages. In particular, I am interested in using logic to help design and verify that software systems ...

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 ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in ...

Discover and adapt fast-changing technologies. Computer science uses theory, experimentation, and engineering design to model and analyze problems to design and verify computing solutions. You'll ...