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 ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Historic Clinical Trial External Control Arm Provides Actionable GEN-1 Efficacy Estimate Before a Randomized Trial Randomized controlled trials are considered the golden standard for estimating ...

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 ...