Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...
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 ...
The manufacturing landscape is evolving rapidly, with intelligent systems increasingly promising to boost efficiency, quality, and overall competitiveness. Traditional machine learning (ML) has ...
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 ...
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 ...
Google DeepMind has named Jasjeet "Jas" Sekhon its new Chief Strategy Officer on March 18. Sekhon is not a product executive ...
Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.
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