Nature

Dynamic decision making simulation with limited data via causal inference

The application of machine learning in decision-making has become widespread. However, investigating the impact of interventions in decision-making tasks poses significant challenges, particularly in ...
Nature

A novel constraint-based structure learning algorithm using marginal causal prior knowledge

Causal discovery with prior knowledge is important for improving performance. We consider the incorporation of marginal causal relations, which correspond to the presence or absence of directed paths ...
Times Higher Education

Research Engineer (Federated Causal Inference in Heterogeneous Data Environments) - UP

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are ...
AlphaGalileo

Dermatology AI 2.0: Paradigm Shift to Causal Reasoning and Autonomous Care Transforms Skin Health

A comprehensive review published in Skin outlines the emergence of “Dermatology AI 2.0”, a fundamental transition from ...