Frontiers

Algorithms for Integrative Systems Microbiology: Multi-Dataset and Multi-Omics Integration for Mechanistic Insight

Systems microbiology now generates data at unprecedented scale across microbial community composition and function, host biology, and environmental ...
Diginomica

How causal analysis and AI intersect - methods of causal inference

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...
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 ...
EDN

Intel to release first ‘causal’ learning algorithms

PORTLAND, Ore. — Intel Corp. unveils a do-everything machine learning package this week capable of fusing separate streams from real-time sensors as easily as spotting and identifying objects and ...