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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
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