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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 ...
Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
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