Familial confounding and causal inference in child and adolescent neurodevelopment and mental health
Recent announcements by the US Government linking paracetamol use during pregnancy to autism in offspring highlight the risks of misinterpreting observational research to inform policy; this is a ...
With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
Data Poem, a developer of cutting-edge artificial intelligence models for business orchestration, today announced the launch of POEM365, a large causal AI model designed to transform how large ...
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 ...
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 ...
Kevin Moran, Assistant Professor, Computer Science, received $269,807 from the National Science Foundation for a collaborative project in which he and Denys Poshyvanyk, Professor of Computer Science ...
Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Read more here.
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