Bayesian networks are probabilistic graphical models that encode conditional dependencies among variables within a directed acyclic graph. In the context of causal inference, these networks provide a ...

Cross-modal reasoning tasks face persistent challenges such as cross-modal inference of causal dependencies with coarse-grained, weak resistance to noise, and weak interaction of spatial-temporal ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Causal artificial intelligence startup Alembic Technologies Inc. said today it has raised $145 million in a Series B growth round that increases its valuation almost 16-fold. It’s using a big chunk of ...

Every major consultancy is selling an AI governance framework right now. The market is crowded: maturity models, policy templates, ethics checklists, responsible AI principles. Most of them are ...