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 ...

Study the core techniques and applications of AI, ranging from data-driven computing through to state-of-the-art speech and text processing. Working in a team to engineer a software system for a real ...

This is a preview. Log in through your library . 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 ...

We tend to think that artificial intelligence views everything in a coldly logical, binary way, but by making A.I. a little “fuzzier,” the same system can be used to treat patients with bipolar ...

Our Darwin module lets you engage in a substantial piece of group research, culminating with the possible production of a paper, as well as a final conference-style presentation. You'll have access to ...