Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to ...
We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
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 ...
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Study identifies key molecular and clinical biomarkers for MASLD
The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain ...
Twenty-first century manufacturers post-COVID-19 have been facing significant challenges across their functions in supply chain, risk, operations, and customer experience. Threats by new (often more ...
Causal AI is redefining decision intelligence, offering deeper insights and more precise enterprise decision-making than ever before. Enterprises struggle to leverage AI for critical decisions.
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