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 ...
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 ...
The manufacturing landscape is evolving rapidly, with intelligent systems increasingly promising to boost efficiency, quality, and overall competitiveness. Traditional machine learning (ML) has ...
Panasonic had 14 patents in big data during Q4 2023. Panasonic Holdings Corp filed patents in Q4 2023 for a system using statistical background subtraction to generate causal inference machine ...
A Lawrence Livermore National Laboratory (LLNL)-led team of scientists and computational engineers has identified several existing medications that ...
Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.
A Lawrence Livermore National Laboratory (LLNL)-led team of scientists and computational engineers using one of the largest electronic health record datasets ever assembled for ALS has identified ...
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