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 ...

This is a preview. Log in through your library . Abstract The four authors present their speculations about the future developments of mathematical logic in the twenty-first century. The areas of ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

Today the Association for Computing Machinery’s Special Interest Group on Algorithms and Computation Theory (SIGACT) and the European Association for Theoretical Computer Science (EATCS) announced ...

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 Bulletin of Symbolic Logic was established in 1995 by the Association for Symbolic Logic (ASL) to provide a journal of high standards that would be both accessible and of interest to as wide an ...

School leaders must decide how — and whether — to integrate artificial intelligence-specific lessons into computer science ...

Every student needs a foundational computer science education to prepare them for an Artificial Intelligence-driven world.

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 ...

Biological systems have caught the attention of computer scientists, who have been turning everything from RNA molecules to entire bacterial colonies into logic gates. So far, however, these systems ...