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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 ...
The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
A study using agentic artificial intelligence to detect early signs of cognitive decline in unstructured m | Mass General ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
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